Abdelfatah Ali

Abdelfatah Ali

South Valley University

H-index: 21

Africa-Egypt

Abdelfatah Ali Information

University

South Valley University

Position

ِAssistant Professor

Citations(all)

1117

Citations(since 2020)

1041

Cited By

289

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

29

i10Index(since 2020)

26

Email

University Profile Page

South Valley University

Abdelfatah Ali Skills & Research Interests

Power System Analysis

Smart Grid

Renewable Energy Sources

EVs

Top articles of Abdelfatah Ali

Single-Phase Semi-Z-Source Inverter for PV Applications

This paper introduces the Semi-Z-Source Inverter (SZSI) in conjunction with Photovoltaic (PV) technology due to its advantages over the traditional singlephase Voltage Source Inverter (VSI). Unlike the single-phase inverter, the SZSI utilizes only two switches instead of four, offering a more streamlined design. Additionally, the SZSI maintains a lower common mode voltage by sharing the same reference between both its DC and AC sides. While the Z-Source Inverter (ZSI) includes an additional state known as the shoot-through state, the SZSI functions without requiring this extra state. The effectiveness of the proposed system has been confirmed through validation using PSIM software.

Authors

Mohamed A Ismeil,Abdelfatah Ali,Mostafa F Shaaban,Ahmed Alfouly

Published Date

2024/2/29

Optimal planning and operation of energy community DERs considering local energy trading and uncertainties

Local energy trading between customers in energy communities (ECs) received significant interest from academia and industry as a promising approach for managing a large number of distributed energy resources (DERs) and empowering end users to take an active role in energy systems. Most of the existing literature focuses on the operation of ECs, often with an implicit assumption about the capabilities of the DERs. However, there is a noticeable lack of emphasis on the crucial aspect of optimizing the planning and integration of DERs within these ECs. Considering the high cost of DERs, there is a need to optimally size DERs of ECs' participants that maximize the benefits, minimize the expenses of DER owners, and reduce the payback period. In this paper, a linear programming model is proposed for the optimal planning and operation of DERs installed in a residential EC in Spain which includes photovoltaic (PV), battery energy storage (BES), and electric vehicles (EV). The objective is to minimize the EC's total annual costs, including investment, maintenance and operation (O&M), and operation costs (i.e., energy and contracted power costs). Furthermore, the proposed approach considers the uncertainties of load demand, PV generation, electricity prices, and EVs. The simulation results demonstrate that optimal planning reduces the annual costs by 10.75 compared to the scenario without optimal planning of PV and BES. Sensitivity analysis shows that, by decreasing the investment costs of BES, increasing the electricity prices, or decreasing the electricity selling price, it could be feasible to install BES at part of the EC houses. The …

Authors

Morsy Abdelkader Morsy Mohammed Nour,José Pablo Chaves Ávila,Abdelfatah Ali,Matteo Troncia,Alvaro Sánchez Miralles

Published Date

2024/2/27

Optimizing Integrated Water and Electrical Networks through a Holistic Water–Energy Nexus Approach

As water and electrical networks cannot be entirely independent, a more integrated approach, the water–energy nexus (WEN), is developed. A WEN is the basis of a smart city where water and electrical networks are interconnected and integrated by implementing efficient management strategies. Accordingly, this study develops a dynamic co-optimization model for designing and operating an integrated power and water system. The proposed co-optimization model minimizes the total annual and operational costs of a micro-WEN system while capturing its optimum design values and operating conditions and meeting the demands of the electrical and water networks. Furthermore, this work presents a plan for transitioning from thermal desalination to reverse osmosis (RO) desalination in the United Arab Emirates (UAE). The key objective is to decouple electricity and water production, effectively tackling the issue of operating the UAE’s power plants at low efficiency during the winter while ensuring an adequate water supply to meet the growing demand. The results show that the co-optimization model provides a significant reduction in the total operational cost with the integration of photovoltaic energy and shifting to RO. Most importantly, the micro-WEN system is optimized over multiple timescales to reduce the computation effort and memory requirements.

Authors

Mennatalla Elbalki,Mostafa F Shaaban,Ahmed Osman,Ariana Pietrasanta,Mohammed Kamil,Abdelfatah Ali

Journal

Sustainability

Published Date

2024/1

Electric Vehicles and Grid Dynamics: Navigating Charging Strategies for Enhanced Stability and Sustainability

The recent surge in electric vehicle penetration presents a dual-edged scenario for power grids worldwide. On one hand, EVs offer valuable grid support functions through diverse operational modes, enhancing grid resilience and flexibility. On the other hand, this increasing penetration raises significant challenges, particularly concerning grid stability and safety. A critical aspect of this dynamic is the method of EV charging, which broadly falls into two categories: uncontrolled and controlled charging. Uncontrolled charging, while convenient for users, introduces substantial risks to the grid, potentially leading to technical problems such as voltage deviations and overloaded infrastructure due to escalating charging demands. Proposing the dilemma faced by system operators: the need to support the growth of EVs for a more sustainable future while ensuring the reliability and stability of the power grid. This paper …

Authors

Ahmed Abdelfatah,Mostafa F Shaaban,Abdelfatah Ali

Published Date

2024/2/29

State of the Art of Hosting Capacity Criteria and Limitations for Renewable Energy Sources

As the global energy landscape shifts towards sustainability, the integration of renewable energy sources (RES) into existing power systems becomes imperative. Hosting capacity, defined as the maximum amount of renewable energy that can be accommodated without compromising system reliability, emerges as a critical parameter for effective integration. This review synthesizes current research on methodologies for assessing hosting capacity, focusing on their application to diverse renewable resources such as solar, wind, and hydropower. The review emphasizes that evaluating hosting capacity is crucial for the effective and dependable integration of renewable energy sources into the current power grid. This evaluation involves examining various criteria and acknowledging inherent system limitations. Overall, this abstract underscore the significance of hosting capacity assessment in facilitating the …

Authors

Ahmed Alfouly,Mohamed A Ismeil,Abdelfatah Ali,Mostafa F Shabaan,I Hamdan

Published Date

2024/2/29

Advancements in Topology and Modulation Techniques for Split Source Inverters: A Comprehensive Overview

Single-stage DC-AC inverters with boosting abilities are in high demand for power conversion systems with respect to their two-stage counterparts. This preference arises from the decreased component numbers, lower weight, smaller volume, decreased cost, and simplified sophistication. Various types of single-stage converters have been documented in the literature, each with its own benefits and drawbacks. In response to the increasing need for such applications, there is a continuous introduction of new single-stage converter topologies. The recent introduction of the Split Source Inverter (SSI) is notable for its operational simplicity, reduced stress, fewer passive elements, and compatibility with the operational states of the Voltage Source Inverter (VSI). The main objective of this article is to thoroughly categorize and assess both traditional and modified SSI topologies, providing insights into their operation …

Authors

Ahmed Abdelaleem,Mohamed A Ismeil,Ahmed Ismail M Ali,M Nasrallah,Abdelfatah Ali,Mostafa F Shabaan,Essam EM Mohamed

Published Date

2024/2/29

Optimal resource allocation and operation for smart energy hubs considering hydrogen storage systems and electric vehicles

Energy hubs (EHs) have substantially paved the way for the coordinated operation of various energy carriers, converters, and storage. However, the establishment of optimal planning and operation of the EH include several challenges, e.g., the stochastic nature of non-dispatchable generation assets, obtaining a satisfactory performance from the storage assets with reasonable energy and power density costs, and long-term load growth. Accordingly, this paper proposes a two-stage stochastic optimal resource allocation and operation approach for multiple smart energy hubs-based microgrids. The first stage optimizes the location of each EH and different assets' capacities. On the other hand, the second stage optimizes the charging/discharging rates of each asset and parking lot power. These microgrids combine renewable energy sources. Moreover, for research gap and unlike existing research, the cooperative …

Authors

Ghada Abdulnasser,Abdelfatah Ali,Mostafa F Shaaban,Essam EM Mohamed

Journal

Energy

Published Date

2024/3/1

Development of a Seven-Level Inverter with Minimized Switch Count for Grid-Integrated Solar PV Applications

This paper introduces a straightforward 7-level inverter sinusoidal controlled using pulse-width modulation for solar photovoltaic (PV) applications and contemporary inverter manufacturing. The design emphasizes a minimized count of power components, achieving reduced Total Harmonic Distortion (THD) in the output voltage through the integration of compact passive elements to filter the output voltage/current waveforms. In addition, the proposed inverter mitigates the complex control strategy that simplifies the required controller specifications as illustrated in the operation principles and switching strategy. Also, comparative study is enriched to compare the proposed 7-LI with its counterpart ones based-on the required number of elements as well as the number of components for required output-voltage levels, as an effective parameter for inverter selection. The proposed inverter structure has been verified …

Authors

Ahmed Ismail M Ali,Mahmoud SR Saeed,Abdelfatah Ali,Mostafa F Shabaan,Abdel-Raheem Youssef,Essam EM Mohamed

Published Date

2024/2/29

Optimal allocation of FCSs and PV units in smart grids considering traffic and generation dispatch

Worldwide, transportation electrification and photovoltaics (PVs) have become vital components of modern and future planning problems. Therefore, the large-scale deployment of electric vehicles (EVs) requires reliable fast-charging stations (FCSs). However, random allocation of FCSs and PV adversely impacts the performance and operation of the traffic flow and power networks. Thus, this paper proposes a new planning approach for the optimal allocation of FCSs and PVs in large-scale smart grids and transportation networks. Unlike existing approaches, the well-known Dynamic Network Assignment Simulation for Road Telematics (DYNASMART) is updated and employed in the proposed planning approach to accurately simulate the EVs within the traffic stream. The average waiting time of the EVs at the charging stations (including charging time) and the total annual costs are utilized as conflicting objective …

Authors

Abdelfatah Ali,Mostafa F Shaaban,Akmal Abdelfatah,Maher A Azzouz,Ahmed SA Awad

Journal

Sustainable Energy, Grids and Networks

Published Date

2023/6/1

A comprehensive review on charging topologies and power electronic converter solutions for electric vehicles

Electric vehicles (EVs) are becoming more popular worldwide due to environmental concerns, fuel security, and price volatility. The performance of EVs relies on the energy stored in their batteries, which can be charged using either AC (slow) or DC (fast) chargers. Additionally, EVs can also be used as mobile power storage devices using vehicle-to-grid (V2G) technology. Power electronic converters (PECs) have a constructive role in EV applications, both in charging EVs and in V2G. Hence, this article comprehensively investigates the state of the art of EV charging topologies and PEC solutions for EV applications. It examines PECs from the point of view of their classifications, configurations, control approaches, and future research prospects and their impacts on power quality. These can be classified into various topologies: DC-DC converters, AC-DC converters, DC-AC converters, and AC-AC converters. To …

Authors

Abdelfatah Ali,Hossam HH Mousa,Mostafa F Shaaban,Maher A Azzouz,Ahmed SA Awad

Published Date

2023/8/11

Enhancement of microgrid frequency stability based on the combined power-to-hydrogen-to-power technology under high penetration renewable units

Recently, with the large-scale integration of renewable energy sources into microgrid (μGs) power electronics, distributed energy systems have gained popularity. However, low inertia reduces system frequency stability and anti-disturbance capabilities, exposing power quality to intermittency and uncertainty in photovoltaics or wind turbines. To ensure system stability, the virtual inertia control (VIC) is presented. This paper proposes two solutions to overcome the low inertia problem and the surplus in capacities resulting from renewable energy sources. The first solution employs superconducting magnetic energy storage (SMES), which can be deemed as an efficient solution for damping the frequency oscillations. Therefore, in this work, SMES that is managed by a simple proportional-integral-derivative controller (PID) controller is utilized to overcome the low inertia. In the second solution, the hydrogen storage system is employed to maintain the stability of the microgrid by storing surplus power generated by renewable energy sources (RESs). Power-to-Power is a method of storing excess renewable energy as chemical energy in the form of hydrogen. Hydrogen can be utilized locally or delivered to a consumption node. The proposed μG operation demonstrates that the integration of the photovoltaics (PVs), wind turbines (WTs), diesel engine generator (DEG), electrolyzer, micro gas turbine (μGT), and SMES is adequate to fulfill the load requirements under transient operating circumstances such as a low and high PV output power as well as to adapt to sudden changes in the load demand. The effectiveness of the proposed schemes is confirmed …

Authors

Abdel-Raheem Youssef,Mohamad Mallah,Abdelfatah Ali,Mostafa F Shaaban,Essam EM Mohamed

Journal

Energies

Published Date

2023/4/12

Optimal Management of Seasonal Pumped Hydro Storage System for Peak Shaving

Power demand varies on a daily and seasonal basis. Responding to changing demands over time is challenging for energy suppliers as it causes expensive power plants to operate in high-demand seasons, usually summer, increasing the cost of electricity. Peak load shaving makes the load curve flatten by reducing the peak load and shifting it to times of lower demand, hence reducing the operation of expensive power plants. Hence, there is a need for large-scale and long-term ESS to store energy in the time of low-demand seasons for future utilization in the highest-demand ones. In this work, an energy management system (EMS) is developed to optimally manage a grid-connected pumped hydro storage (PHS) for peak shaving. The proposed model incorporates a dynamic economic dispatch (DED) over a study period of one year; hence, a DC power flow analysis considering transmission constraints is utilized to ensure a fast load flow estimation and a manageable simulation time. The framework can be adopted to assess the long-term profitability of PHS-utilizing GAMS as an optimization tool. Further, to draw conclusions that would suit the characteristics of the demand pattern. This analysis is essential to motivate the construction of new seasonal PHS plants due to the high construction costs they are identified with, especially in geographical areas where this technology is not yet considered or is hard to construct. The simulation results demonstrate that integrating 1500 MWh PHS reduced the operation of expensive thermal units by 1224 MWh annually. Further, a reduction in operation costs was recorded after integrating a PHS unit that …

Authors

Asmaa I Abdelfattah,Mostafa F Shaaban,Ahmed H Osman,Abdelfatah Ali

Journal

Sustainability

Published Date

2023/8/3

Optimal Planning of Battery Electric Buses for Reliable Services

Battery electric buses (BEB) are a strong alternative for climate change mitigation due to their potential to reduce fossil fuel consumption. This paper introduces a deterministic optimization model for the optimal selection of the number of buses and opportunity chargers of an all-electric bus fleet constrained by a specified route cycle, number and duration of stops, frequency, service time, and BEB model. The optimization model is based on a BYD K9 40’ Transit BEB fleet. The bus's power consumption model is generated and the problem is formulated subject to the constraints mentioned above. The optimization problem is formulated as a Mixed Integer Non-Linear Programming (MINLP) and is solved using General Algebraic Modeling System (GAMS) program. The main results are obtained in two cases: when the bus's air conditioning is turned on and when it is turned off. For the first case, various results are …

Authors

Sama Elkholy,Mostafa F Shaaban,Abdelfatah Ali

Published Date

2023/3/8

Optimal energy planning of multi-microgrids at stochastic nature of load demand and renewable energy resources using a modified Capuchin Search Algorithm

The concept of interconnected multi-microgrids (MMGs) is presented as a promising solution for the improvement in the operation, control, and economic performance of the distribution networks. The energy management of the MMGs is a strenuous and challenging task, especially with the integration of renewable energy resources (RERs) and variation in the loading due to the intermittency of these resources and the stochastic nature of the load demand. In this regard, the energy management of the MMGs is optimized with optimal inclusion of a hybrid system consisting of a photovoltaic (PV) and a wind turbine (WT)-based distributed generation (DGs) under uncertainties of the generated powers and the load variation. A modified Capuchin Search Algorithm (MCapSA) is presented and applied for the energy management of the MMGs. The MCapSA is based on enhancing the searching abilities of the standard …

Authors

Mohamed Ebeed,Deyaa Ahmed,Salah Kamel,Francisco Jurado,Mostafa F Shaaban,Abdelfatah Ali,Ahmed Refai

Journal

Neural Computing and Applications

Published Date

2023/8

Impacts of community energy trading on low voltage distribution networks

The wide spread of distributed energy resources (DERs) enabled the transformation of the passive consumer to an active prosumer. One of the promising approaches for optimal management of DERs and maximizing benefits for the community and prosumers is community energy trading (CET). CET gives the prosumers the flexibility and freedom to trade electricity within the neighborhood and maximize their economic benefits besides maximizing local consumption of renewable energy sources generation. Despite the economic benefits of CET for individuals and the whole community, it could cause impacts on the low voltage distribution network (LVDN). Therefore, there is a need for a comprehensive evaluation of the potential impacts of CET on LVDN. This study compared CET with the home energy management system (HEMS) regarding community operation costs and interaction with the retailer. Furthermore …

Authors

Morsy Nour,José Pablo Chaves-Ávila,Matteo Troncia,Abdelfatah Ali,Álvaro Sánchez-Miralles

Journal

IEEE Access

Published Date

2023/5/19

Multi‐objective optimal planning of EV charging stations and renewable energy resources for smart microgrids

Distribution system planners and operators have increasingly exposed great attention to maximizing the penetration of renewable energy resources (RERs), and electric vehicles (EVs) toward modern microgrids. Accordingly, intensive operational and economic problems are expected in such microgrids. Specifically, the operators need to meet the increased demand for EVs and increase the dependence on RERs. The charging strategy for EVs and the RER penetration level may result in increased power loss, thermal loading, voltage deviation, and overall system cost. To address these concerns, this paper proposed an optimal planning approach for allocating EV charging stations with controllable charging and hybrid RERs within multi‐microgrids, where the charging strategy in the proposed planning approach contributed to improving power quality and overall system cost, where the voltage deviation, energy …

Authors

Ali Asaad,Abdelfatah Ali,Karar Mahmoud,Mostafa F Shaaban,Matti Lehtonen,Ahmed M Kassem,Mohamed Ebeed

Journal

Energy Science & Engineering

Published Date

2023

Optimal False Data Injection Attack on EV Chargers and DGs in Active Distribution Networks

Electric vehicles (EVs) play an important role in smart grids. They can be operated in two modes of operations which are grid-to-vehicle (G2V) and vehicle-to-grid (V2G). Recently, EVs are involved in peak-shaving processes where their vehicle-to-grid operation mode can be used to supply power to the grid in times of peak load. On the other hand, the frequency of extreme events and man-made attacks (cyber and physical attacks) is in a dramatic increased in recent years. These events have severe impacts on power systems whether they cause long outage times or major equipment destruction. The first step against these attacks is to understand how they are built and their impact on the power system. This paper investigates the impact of the false data injection (FDI) attacks on EV chargers and distributed generation resources (DGs) of the active distribution networks (ADN). FDI attacks focus on the operation of …

Authors

Ahmed Abdelfatah,Abdelfatah Ali,Mostafa F Shaaban,Ahmed Osman

Published Date

2023/7/19

A Stochastic Multi-Objective Operation Approach of Multi-Energy Hubs and Parking Lots of PEVs in Smart Microgrids

Energy hubs (EH) could provide reliable, efficient, and flexible operation in terms of multiple energy carriers such as electrical, thermal, and gas. However, when it comes to developing an optimal operational scheme, the interaction of these different energy sectors, along with the uncertainty associated with renewable energy sources (RES) and the driving patterns of plug-in electric vehicle (PEV) owners, would pose a challenge. Accordingly, this paper proposes a stochastic seasonal multi-objective optimal operation scheduling scheme for four EHs incorporated into the IEEE-69 system. Moreover, the model investigates the optimal charging and discharging of four parking lots connected to the same system, taking into consideration the stochastic nature of the PEVs. The price-based demand response has also been addressed in this work. Mainly, the aim is to reduce the operation costs and the generated emission …

Authors

Ghada Abdulnasser,Abdelfatah Ali,Mostafa F Shaaban,EM Essam Mohamed

Published Date

2023/12/19

Special Issue" Modern Energy Storage Technologies towards Decarbonized Power Systems"

Special Issue "Modern Energy Storage Technologies towards Decarbonized Power Systems" — Aalto University's research portal Skip to main navigation Skip to search Skip to main content Aalto University's research portal Home Aalto University's research portal Logo ACRIS instructions English Suomi Home Profiles Research output Research data/software Projects Prizes Activities Press/Media Infrastructure Research units Impacts Search by expertise, name or affiliation Special Issue "Modern Energy Storage Technologies towards Decarbonized Power Systems" Abdelfatah Ali (Guest editor), Mostafa Shaaban (Guest editor), Karar Mahmoud (Guest editor), Osama A. Mohammed (Guest editor) Power Systems and High Voltage Engineering Department of Electrical Engineering and Automation American University of Sharjah Aswan University South Valley University Florida International University Research output: …

Authors

Abdelfatah Ali,Mostafa Shaaban,Karar Mahmoud,Osama A Mohammed

Journal

Energies

Published Date

2023

Optimizing the Operation and Coordination of Multi-Carrier Energy Systems in Smart Microgrids using a Stochastic Approach

Energy hubs (EHs) have become essential to facilitate the coupling of the various energy carriers in smart microgrids characterized by high penetration levels of various renewable energy sources (RES), such as photovoltaics and wind power. Optimal operation and coordination of these microgrid resources are crucial for satisfying electrical and thermal demands with minimal cost and achieving eco-friendly operation. To this end, this paper proposes a stochastic multi-objective optimization approach for optimal operation and coordination of RES, EH systems, and plug-in electric vehicles (PEVs). The EH includes compressed air energy storage, battery energy storage, and thermal energy storage. The objective functions to be minimized are operating costs and emissions. The proposed approach considers the uncertainties of RES, electrical and thermal demands, electrical prices during seasonal-based horizons …

Authors

Ghada Abdulnasser,Abdelfatah Ali,Mostafa F Shaaban,Essam EM Mohamed

Journal

IEEE Access

Published Date

2023/6/8

Optimal allocation of multiple capacitors in a hybrid AC/DC microgrid for power quality improvement

Along with the various features for implementing the Hybrid AC/DC Microgrid (HMG), this article proposes an approach for optimal allocation of multiple capacitors which are investigated in a proposed modeling based on the IEEE 14-bus distribution system. The power quality of the HMG has been investigated during the urgent intermittent of Distributed Energy Resources (DERs) and Reactive Power Compensation (RPC) methods. Moreover, the investigation has been achieved in the presence of unbalanced loads and nonlinear loads with maximum and minimum demand scenarios. To cope with the power quality concerns in the studied cases, the fixed capacitor bank as an RPC system in Medium Voltage (MV) level load buses has been utilized. Although the performance indices of the power quality improved in MV-level buses, the Low Voltage (LV) level load buses still endure extensive operation performance …

Authors

Hossam HH Mousa,Abdelfatah Ali,Mostafa F Shaaban,Mohamed A Ismeil

Journal

SN Applied Sciences

Published Date

2023/12

Theft cyberattacks detection in smart grids based on machine learning

Electricity theft is a worldwide issue that adversely impacts companies and users. This issue disrupts the expansion of utility companies, produces electric dangers, and affects the high-level cost of electricity for users. The extensive penetration of advanced metering infrastructure networks gives a chance to identify theft cyberattacks by examining the collected data of the energy consumption from smart meters. This work presents a detection approach based on statistical and machine learning to measure theft confidence. An anomaly detection approach is adopted, in which, to detect suspicious data, a theft detection unit based on a fine tree regression model is constructed. Historical data of average load consumption per unit area, smart meter readings, and temperature are employed in the training stage of the proposed approach. The error between the true and estimated data is fitted by a probability density …

Authors

Abdelfatah Ali,Mohamed Mokhtar,Mostafa F Shaaban

Published Date

2022/12/27

Optimal Operational Planning of RES and HESS in Smart Grids Considering Demand Response and DSTATCOM Functionality of the Interfacing Inverters

With countries moving toward renewable energy sources (RES), the need for dispatchability and storage solutions has become more prevalent. The uncertainty associated with wind turbine (WT) units and photovoltaic (PV) systems further complex a system with a high level of intermittency. This work addresses this problem by proposing an operational planning approach to determine the optimal allocation of WT units, PV systems, and hybrid energy storage systems (HESS) in smart grids. The proposed approach considers the uncertainties of the RES and load demand, price-based demand response, and distribution static compensator (DSTATCOM) functionality of the RES interfacing inverters. The operational planning problem is divided into two subcategories: (1) optimal long-term planning and (2) optimal operation. In the first problem, probabilistic models of RES and load reflect on the sizes and locations of the used RES and storage technologies. This allocation is further optimized via the optimal operation of the smart grid. The proposed operational planning approach is formulated as a nested optimization problem that guarantees the optimal planning and operation of the RES and HESS simultaneously. This approach is tested on the IEEE 33-bus distribution system and solved using meta-heuristic and mathematical algorithms. The effectiveness of the proposed approach is demonstrated using a set of case studies. The results demonstrate that the proposed approach optimally allocates the RES and HESS with a 30.4% cost reduction and 19% voltage profile improvement.

Authors

Abdelfatah Ali,Mostafa F Shaaban,Hatem F Sindi

Journal

Sustainability

Published Date

2022/10/14

A Droop-Based Frequency Controller for Parallel Operation of VSCs and SG in Isolated Microgrids

Microgrids are a novel concept for modern power distribution networks that integrate renewable power sources and increase power control capabilities. This system's essential problem is controlling the frequency in island mode. Using the synchronous generator (SG) control approach, the microgrid frequency is more stable due to the inertial features of the SG. In this regard, this paper presents a control algorithm for voltage source converters (VSC)-based distributed generators (DGs), which emulates the principal behavior of synchronous machines and can support inertia to the grid and reduce frequency gradients considering the parallel operation of the SG. The controller is designed based on droop control theory, and a supervisory center controller is implemented to maintain system frequency close to a nominal value of the whole microgrid. The simulation results demonstrate that the system frequency is …

Authors

Wessam Arafa Hafez,Karar Mahmoud,Abdelfatah Ali,Mostafa F Shaaban,Poria Astero,Matti Lehtonen

Published Date

2022/12/13

Optimal day‐ahead scheduling in micro‐grid with renewable based DGs and smart charging station of EVs using an enhanced manta‐ray foraging optimisation

Micro‐grids (MGs) are small parts of the electrical power system that work along with the electric system or autonomously based on environmental or economic conditions. The renewable‐based distributed generators (RDGs) and electric vehicle charging stations (EVCSs) are wildly incorporated in MGs. Optimal day‐ahead scheduling of the MG is ahead corner of energy management for cost reduction. In addition, solving the economic load dispatch and day‐ahead scheduling of the MG is a complex optimisation problem, especially considering the RDGs, EVCS, and uncertainties in the electrical system. This paper aims to optimise the day‐ahead scheduling of the MG with and without a smart charging strategy for electric vehicles. An enhanced manta‐ray foraging optimisation (EMRFO) algorithm is proposed to solve this optimisation problem. EMRFO depends upon boosting population diversity and the searching …

Authors

Mostafa Bastawy,Mohamed Ebeed,Abdelfatah Ali,Mostafa F Shaaban,Baseem Khan,Salah Kamel

Journal

IET renewable power generation

Published Date

2022/8

Optimal stochastic day-ahead scheduling of multi-carrier energy hub integrated with plug-in electric vehicles

Confronted with climate change, environmental pollution, and energy crisis, energy hubs (EH) are promising multi-carrier systems that could lead to a flexible, reliable, and clean operation. EH could be conceptualized as an aggregator for energy generation resources, storage, and coupling networks that aim to satisfy electrical, thermal, and cooling demands. This study investigates the optimal day-ahead scheduling of a multi-carrier EH system that incorporates renewable energy sources (RES), large-scale compressed air energy storage (CAES), battery energy storage (BESS), plug-in electric vehicle (PEV), and thermal energy storage (TES). The proposed model is a stochastic multi-objective framework that minimizes the operation cost and the emission generated. The effectiveness of the proposed stochastic framework for optimal day-ahead scheduling has been shown based on simulation findings and results.

Authors

Ghada Abdulnasser,Abdelfatah Ali,Mostafa F Shaaban,Essam EM Mohamed

Published Date

2022/12/13

On Maximizing PV Hosting Capacity in Modern Distribution Networks Based on Diverse Control Techniques

The global interest in increasing photovoltaic (PV) hosting capacity has lately grown. This research focuses on introducing a unique stochastic strategy that can optimize the hosting capacity of PV in modern distribution networks. The suggested strategy is based on combined control techniques of practical control devices, such as taps of transformers as well as reactive power sources. It also takes into account the distributed electrical vehicles (EVs) with their stochastic model and full features of their batteries. Furthermore, the PV planning model takes into account the reactive power provided by the PV inverter. The PV planning model is solved by a developed bi-layer grey wolf optimizer. The optimizer–s inner layer adjusts the charging/discharging power of the interconnected EV batteries, transformer taps, besides reactive power injection. In turn, the outer layer maximizes PV capacities. Many scenarios are run on …

Authors

Abdelfatah Ali,Karar Mahmoud,Mostafa F Shaaban,Matti Lehtonen

Published Date

2022/7/20

Stochastic multi-objectives optimal scheduling of energy hubs with responsive demands in smart microgrids

Energy hubs (EHs) are progressively being implemented in microgrids for local generation, transfer, and storage of various forms of energy. However, issues have emerged around developing an operating schedule for the different energy resources incorporated in the EHs to ensure the operation at minimum possible costs and emissions. This paper proposes a stochastic-based multi-objectives optimization model for optimal day-ahead scheduling of microgrids based on EHs. The proposed model simultaneously manages the non-dispatchable distributed generator units, such as wind turbines and photovoltaic systems, and energy storage systems, such as compressed air energy storage (CAES) and battery energy storage systems. Moreover, the thermal network is also established by introducing solar heat collectors, heat generated during the discharge of CAES, and thermal energy storage. Furthermore, the …

Authors

Ghada Abdulnasser,Abdelfatah Ali,Mostafa F Shaaban,Essam EM Mohamed

Journal

Journal of Energy Storage

Published Date

2022/11/15

Optimal planning of inverter‐based renewable energy sources towards autonomous microgrids accommodating electric vehicle charging stations

Renewable energy sources have recently been integrated into microgrids that are in turn connected to electric vehicle (EV) charging stations. In this regard, the optimal planning of microgrids is challenging with such uncertain generation and stochastic charging/discharging EV models. To achieve such ambitious goals, the best sites and sizes of photovoltaic and wind energy units in microgrids with EV are accurately determined in this work using an optimization technique. This proposed technique considers 1) generation profile uncertainty in photovoltaic and wind energy units as well as the total load demand, 2) photovoltaic and wind generation units' DSTATCOM operation capability, and 3) various branch and node constraints in the microgrid. Most importantly, the possible EV requirements are also taken into account, including initial and predetermined state of charge (SOC) arrangements, arrival and departure …

Authors

Abdelfatah Ali,Karar Mahmoud,Matti Lehtonen

Journal

IET Generation, Transmission & Distribution

Published Date

2022/1

Multi-objective allocation of EV charging stations and RESs in distribution systems considering advanced control schemes

Renewable energy sources (RESs) and electric vehicle charging stations (EVCSs) have been extensively incorporated into distribution systems. Due to the stochastic nature of RES generation and electric vehicles (EVs), risky operational challenges might impact the grid. Therefore, this paper proposes a multi-objective planning framework to optimally allocate EVCSs in conjunction with RESs. Specifically, the proposed RESs and EVCSs planning framework considers three sub-objectives to be minimized, i.e., voltage deviations, energy losses, and EVs owners’dissatisfaction. Further, active power curtailment of RESs is precluded while considering the diverse operational constraints of the grid, RESs, and EVCSs. To provide further benefits, advanced control schemes of the interconnecting RES inverters, grid-to-vehicle (G2V), and vehicle-to-grid (V2G) schemes are considered in the proposed framework. A two …

Authors

Abdelfatah Ali,Mostafa F Shaaban,Ahmed SA Awad,Maher A Azzouz,Matti Lehtonen,Karar Mahmoud

Journal

IEEE Transactions on Vehicular Technology

Published Date

2023

Stochastic optimal planning of distribution system considering integrated photovoltaic-based DG and DSTATCOM under uncertainties of loads and solar irradiance

This chapter presents different efficient hybrid methods based on the modern optimal allocation of distributed energy resource (DER) in radial distribution system (RDS) under equality and inequality constraints. Integration of DER in RDS reduces the total power losses, the total voltage deviation, and the total voltage stability index (VSI) of the system. The voltage stability index (VSI) is used to determine how close the operating point is to the steady-state limit of the system voltage. The system will be more stable if the value of VSI is high. The voltage deviation is an indication of power equality and security indices of the power system. This chapter presents forward/backward power flow. The problem formulation and operating constraints are the uncertainty modeling of solar irradiance and load demand.

Authors

Amal M Abd El-Hameid,Adel A Elbaset,Mohamed Ebeed,Montaser Abdelsattar

Published Date

2023/5/12

Optimal allocation of a hybrid photovoltaic‐based DG and DSTATCOM under the load and irradiance variability

This paper addresses the allocation of a hybrid system that includes PV‐DG and DSTATCOM. The planning problem considers the variations of load demand and solar irradiance under deterministic and probabilistic conditions. An efficient optimization algorithm called MPA is implemented to assign the optimal placement and ratings of the hybrid PV‐DG and DSTATCOM. The considered objective function is a multi‐objective function that includes the annual cost reduction, improvement of voltage profiles, and system stability improvement. The assessment is accomplished with the inclusion of a single and two‐hybrid system on a large 94‐bus system. For validating the effectiveness of the MPA, the yielded results are compared with the PSO, which is considered a commonly used algorithm. In deterministic conditions, the hourly variations of the load demand and solar radiation are considered in four yearly seasons …

Authors

Eyad S Oda,Mohamed Ebeed,Amal M Abd El Hamed,Abdelfatah Ali,Adel A Elbaset,Montaser Abdelsattar

Journal

International Transactions on Electrical Energy Systems

Published Date

2021/11

Multi-objective energy management of a micro-grid considering stochastic nature of load and renewable energy resources

In recent years, wind power has played a significant role in energy generation of micro-grids (MGs). However, randomness nature of wind speed leading to uncertainty in wind power forecast, imposes some problems such as overestimating wind power on optimized scheduling of MG. In this paper, we propose an adaptive probabilistic concept of confidence interval (APCCI) to address these problems. The main purpose of the proposed APCCI is to modify the risk we endure to schedule wind power with other distributed energy resources (DERs) in order to degrade the unnecessary rigors and upgrade the other ones. The forecasting method which is used in this paper is artificial neural network (ANN). In order to increase the accuracy of forecasting, wavelet decomposition (WD) is applied to the wind power time series then the results are sent to ANN. After that, dependable levels for the predicted wind power based …

Authors

Javad Sarshar,Seyyed Sajjad Moosapour,Mahmood Joorabian

Journal

Energy

Published Date

2017/11/15

Optimal Sizing and Placement of Multiple Photovoltaics Considering Electric Vehicles Charging Stations

Due to the fluctuated generation of Photovoltaic (PV) and stochastic charging and discharging schemes of electric vehicles (EVs), risky operational issues are observed in the medium-voltage distribution systems. Expected issues are excessive energy losses, voltage drop and voltage rise, and disruptions of operational boundaries in power distribution systems. To tackle these issues, we propose an optimization planning model in this paper for optimally allocate PV to accommodate EV charging stations in distribution systems. The proposed planning approach has the ability to determine the best PV locations and sizes to reduce the electrical energy losses in the distribution system, considering voltage and power flow boundaries. Consequently, the allocation problem of PV is created as a double-layer optimization model, which is solved by the gravitational search algorithm. To indicate the effectiveness of the …

Authors

Abdelfatah Ali,Karar Mahmoud,Mostafa F Shaaban,Matti Lehtonen

Published Date

2021/10/6

Optimization of photovoltaic and wind generation systems for autonomous microgrids with PEV-parking lots

Lately, the integration of renewable energy sources (e.g., photovoltaic and wind generation systems) has been raised into microgrids interconnected with plug-in electric vehicles (PEVs). Such intermittent generation and charging/discharging PEV profiles are challenging to ensure the secure and optimal operation of microgrids. In this article, an optimization approach is proposed to determine the optimal locations and sizes of photovoltaic and wind generation systems in microgrids with PEV-parking lots. The developed approach addresses 1) the uncertainty of generation profiles of photovoltaic and wind generation systems and loads; 2) the DSTATCOM feature of photovoltaic and wind generation systems; and 3) microgrid constraints. The feasible PEV conditions are also considered, i.e., initial and preset conditions of their state of charge, arriving and departing times, and various controlled/uncontrolled charging …

Authors

Abdelfatah Ali,Karar Mahmoud,Matti Lehtonen

Journal

IEEE Systems Journal

Published Date

2022

A modified manta ray foraging optimizer for planning inverter-based photovoltaic with battery energy storage system and wind turbine in distribution networks

It is widely accepted that the integration of natural sources in distribution networks is becoming more attractive as they are sustainable and nonpolluting. This paper firstly proposes a modified Manta Ray Foraging Optimizer (MMRFO) to enhance the characteristic of MRFO technique. The modified MRFO technique is based on inserting the Simulated Annealing technique into the original MRFO to enhance the exploitation phase which is responsible for finding the promising region in the search area. Secondly, the developed technique is utilized for determining the best sizes and locations of multiple wind turbine (WT) and photovoltaic (PV) units in Radial Distribution System (RDS). The total system loss is taken as single-objective function to be minimized, considering the probabilistic nature of PV and WT output generation with variable load demand. Reactive loss sensitivity factor (QLSF) is utilized for obtaining the …

Authors

Hussein Abdel-Mawgoud,Abdelfatah Ali,Salah Kamel,Claudia Rahmann,MA Abdel-Moamen

Journal

IEEE Access

Published Date

2021/6/24

Maximizing hosting capacity of uncertain photovoltaics by coordinated management of OLTC, VAr sources and stochastic EVs

The interest in maximizing the hosting capacity of photovoltaics is recently being enlarged globally. This paper proposes a novel stochastic approach for maximizing the hosting capacity of photovoltaics in distribution systems. The proposed approach is based on a coordinated management scheme of control devices in distribution systems, i.e. transformer taps and VAr sources. It also considers the promising electrical vehicles with their stochastic nature and comprehensive model, including the arriving and departing times, and initial and preset conditions of their batteries state of charge. Further, the planning model of photovoltaics considers the reactive power support of the photovoltaic inverter based on the recently released IEEE 1547:2018 standard. Compared to existing approaches, the unique merit of the proposed approach is its ability to maximize the hosting capacity of photovoltaics by simultaneous …

Authors

Abdelfatah Ali,Karar Mahmoud,Matti Lehtonen

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2021/5

Optimal planning of distributed generation and capacitor banks in distribution networks

For many years, the constantly rising electricity demands have led to a growing concern. A reduction in power loss, as well as improvement of voltage profiles would be the consequence of optimizing both the location and size of capacitor banks (CBs) and distributed generation (DGs). This can be obtained as a result of the improvement in both voltage stability index (VSI) and voltage magnitude deviations (VD). However, this process must be carried out carefully since the improper size and/or location of DGs may negatively impact the distribution networks. This research presents an optimization-based algorithm for optimal sizing and placement of DGs and CBs. For this purpose, the Jellyfish search algorithm (JS) is employed to solve the optimization model. To elucidate the efficiency of the proposed algorithm, different cases have been considered, starting with the CBs allocation only, the DGs allocation only, and …

Authors

Ghada Abdulnasser,Abdelfatah Ali,Essam EM Mohamed

Published Date

2021/12/14

Weight optimisation for model predictive control based on particle swarm optimisation

This paper presents an optimisation-based method to tune the weighting factors of Model Predictive Control (MPC) for a three-phase Split Source Inverter (SSI). Particle Swarm Optimisation (PSO) algorithm is used to optimally solve the optimization model considering system constraints. This technique is a powerful method to get a good tracking response for a reference signal or/and set-point based weight optimization. The proposed method is presented instead of the trial-and-error approach. The MATLAB/SIMULINK is used to validate the proposed technique.

Authors

Mohamed Abdelrahem,Mohamed A Ismeil,Abdelfatah Ali,Mahmoud A Gaafar,Ralph Kennel

Published Date

2020/7/7

Tie-line power flow control method for grid-connected microgrids with SMES based on optimization and fuzzy logic

In an active distribution grid, renewable energy sources (RESs) such as photovoltaic (PV) and energy storage systems (e.g., superconducting magnetic energy storage (SMES)) can be combined with consumers to compose a microgrid (MG). The high penetration of PV causes high fluctuations of tie-line power flow and highly affects power system operations. This can lead to several technical problems such as voltage fluctuations and excessive power losses. In this paper, a fuzzy logic control based SMES method (FSM) and an optimized fuzzy logic control based SMES method (OFSM) are proposed for minimizing the tie-line power flow. Consequently, the fluctuations and transmission power losses are decreased. In FSM, SMES is used with a robust fuzzy logic controller (FLC) for controlling the tie-line power flow. An optimization model is employed in OFSM to simultaneously optimize the input parameters of the …

Authors

Sayed M Said,Abdelfatah Ali,Bálint Hartmann

Journal

Journal of modern power systems and clean energy

Published Date

2020/6/25

Probabilistic approach for hosting high PV penetration in distribution systems via optimal oversized inverter with watt-var functions

Accommodating a high penetration of intermittent photovoltaic (PV) in distribution systems can potentially cause several operational problems, most importantly, voltage violations. An optimal probabilistic approach is proposed in this article to optimally host high penetrations of PV units considering their stochastic nature. A benefit of the proposed approach is that it provides wider planning options since it optimizes the interfacing inverter oversize with smart watt-var functionalities. These smart functionalities include: 1) active power curtailment and 2) inverter reactive power. The utilization of these functionalities in the optimization model yields an optimal PV hosting that maximizes the benefits to distribution systems. The optimal probabilistic model of PV incorporates the probabilities of the PV power output and load while optimizing the inverter oversize and the two functionalities simultaneously. The proposed …

Authors

Abdelfatah Ali,Karar Mahmoud,David Raisz,Matti Lehtonen

Journal

IEEE Systems Journal

Published Date

2020/4/13

Enhancing hosting capacity of intermittent wind turbine systems using bi‐level optimisation considering OLTC and electric vehicle charging stations

Worldwide, the hosting capacity of renewable energy sources (RES) is remarkably expanded in distribution systems. One of the most auspicious RES is wind turbine systems (WTSs), which can improve the performance of distribution systems. In turn, the integration of high WTS penetrations can also deviate the system operation away from the standard condition. To tackle this issue, we propose a method for enhancing the hosting capacity of multiple WTSs considering their intermittent generations in distribution systems. The proposed method considers the operation of the on‐load tap changer (OLTC), allowing to solve voltage problems efficiently. Especially, the proposed method optimises the charging/discharging power of electric vehicles (EVs), which can contribute positively to regulating WTS intermittent generation. Additionally, the reactive power support of WTSs, complying with the IEEE 1547:2018 standard …

Authors

Abdelfatah Ali,Karar Mahmoud,Matti Lehtonen

Journal

IET Renewable Power Generation

Published Date

2020/11

Optimal allocation of inverter-based WTGS complying with their DSTATCOM functionality and PEV requirements

Recently, the integration of inverter-based wind turbine generation systems (WTGS) and plug-in electric vehicles (PEV) has remarkably been expanded into distribution systems throughout the world. These distributed resources could have various technical benefits to the grid. However, they are also associated with potential operation problems due to their stochastic nature, such as high power losses and voltage deviations. An optimization-based approach is introduced in this paper to properly allocate multiple WTGS in distribution systems in the presence of PEVs. The proposed approach considers 1) uncertainty models of WTGS, PEV, and loads, 2) DSTATCOM functionality of WTGS, and 3) various system constraints. Besides, the realistic operational requirements of PEVs are addressed, including initial and preset conditions of their state of charge (SOC), arriving and departing times, and various controlled …

Authors

Abdelfatah Ali,Karar Mahmoud,David Raisz,Matti Lehtonen

Journal

IEEE Transactions on Vehicular Technology

Published Date

2020/3/16

Multiobjective photovoltaic sizing with diverse inverter control schemes in distribution systems hosting EVs

Worldwide, photovoltaic (PV) and electric vehicles (EVs) have intensively been integrated into distribution systems. As a result, different operational issues can be observed due to PV generation variability and EV stochastic characteristics. In this article, an optimal sizing approach of multiple PVs in the existence of EVs is proposed. The proposed approach minimizes both the total voltage deviations and overall energy losses, prevents active PV power curtailment, and considers numerous constraints of PV, EV, and the distribution system. The features of the proposed approach are the considerations of PV, EV, and load uncertainties via incorporating their probabilistic models. Besides, it models arrival/parting times of EVs, the required state of charge (SOC) of EV batteries based on initial SOCs and remaining parking periods, and controlled/uncontrolled charging. Furthermore, diverse control schemes of the …

Authors

Abdelfatah Ali,Karar Mahmoud,Matti Lehtonen

Journal

IEEE Transactions on Industrial Informatics

Published Date

2020/11/19

An improved lightning attachment procedure optimizer for optimal reactive power dispatch with uncertainty in renewable energy resources

Integrating renewable energy resources (RERs) has become the head of concern of the modern power system to diminish the dependence of using conventional energy resources. However, intermittent, weather dependent, and stochastic natural are the main features of RESs which lead to increasing the uncertainty of the power system. This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning attachment procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand. The improved lightning attachment procedure optimization (ILAPO) is proposed to boost the searching capability and avoid stagnation of the traditional LAPO. ILAPO is based on two improvements: i) Levy flight to enhance the exploration process, ii) Spiral movement of the particles to improve the exploitation process of the LAPO. The …

Authors

Mohamed Ebeed,Abdelfatah Ali,Mohamed I Mosaad,Salah Kamel

Journal

IEEE Access

Published Date

2020/9/9

See List of Professors in Abdelfatah Ali University(South Valley University)

Abdelfatah Ali FAQs

What is Abdelfatah Ali's h-index at South Valley University?

The h-index of Abdelfatah Ali has been 20 since 2020 and 21 in total.

What are Abdelfatah Ali's top articles?

The articles with the titles of

Single-Phase Semi-Z-Source Inverter for PV Applications

Optimal planning and operation of energy community DERs considering local energy trading and uncertainties

Optimizing Integrated Water and Electrical Networks through a Holistic Water–Energy Nexus Approach

Electric Vehicles and Grid Dynamics: Navigating Charging Strategies for Enhanced Stability and Sustainability

State of the Art of Hosting Capacity Criteria and Limitations for Renewable Energy Sources

Advancements in Topology and Modulation Techniques for Split Source Inverters: A Comprehensive Overview

Optimal resource allocation and operation for smart energy hubs considering hydrogen storage systems and electric vehicles

Development of a Seven-Level Inverter with Minimized Switch Count for Grid-Integrated Solar PV Applications

...

are the top articles of Abdelfatah Ali at South Valley University.

What are Abdelfatah Ali's research interests?

The research interests of Abdelfatah Ali are: Power System Analysis, Smart Grid, Renewable Energy Sources, EVs

What is Abdelfatah Ali's total number of citations?

Abdelfatah Ali has 1,117 citations in total.

What are the co-authors of Abdelfatah Ali?

The co-authors of Abdelfatah Ali are Karar Mahmoud, Mohamed Ebeed, Mostafa Shaaban, Mamdouh Abdel-Akher, Claudia Rahmann, Ahmad Eid, PhD, SMIEEE.

    Co-Authors

    H-index: 37
    Karar Mahmoud

    Karar Mahmoud

    Aswan University

    H-index: 28
    Mohamed Ebeed

    Mohamed Ebeed

    Sohag university

    H-index: 26
    Mostafa Shaaban

    Mostafa Shaaban

    American University of Sharjah

    H-index: 24
    Mamdouh Abdel-Akher

    Mamdouh Abdel-Akher

    Qassim University

    H-index: 22
    Claudia Rahmann

    Claudia Rahmann

    Universidad de Chile

    H-index: 20
    Ahmad Eid, PhD, SMIEEE

    Ahmad Eid, PhD, SMIEEE

    Aswan University

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