Abdelfattah A. Eladl

Abdelfattah A. Eladl

Mansoura University

H-index: 12

Africa-Egypt

Abdelfattah A. Eladl Information

University

Mansoura University

Position

Associate Professor at Faculty of Engineering

Citations(all)

595

Citations(since 2020)

564

Cited By

133

hIndex(all)

12

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

12

Email

University Profile Page

Mansoura University

Abdelfattah A. Eladl Skills & Research Interests

Power System Economics

Power Quality

HVDC Protection

Energy Hubs

Top articles of Abdelfattah A. Eladl

Interactive demand response and dynamic thermal line rating for minimizing the wind power spillage and carbon emissions

Spilling has already occurred as a result of rising the penetration of intermittent renewable generation, and it is anticipated that the level of renewable energy curtailment will continue to soar. This leads to an increase in operating costs, CO2 emissions, and not good utilization of renewable energy resources. A bi-level multi-objective optimization model is proposed in this paper to reduce wind power spillage (WPS) based on demand response (DR) and dynamic thermal line rating (DTLR). In the upper level, multiple objectives will be satisfied based on the optimal allocation and time of DR programs considering DTLR obtained in the lower level. The minimization of WPS, load shedding, power losses, and CO2 emissions are the objectives of this level. While the lower-level aims to maximize social welfare under different scenarios and overall system constraints. Under the uncertainty of the wind power and load …

Authors

Samaa Fawzy,Elhossaini E Abd-Raboh,Abdelfattah A Eladl

Journal

Electric Power Systems Research

Published Date

2024/7/1

Instability Mitigation of Constant Power Load in Microgrid

This paper proposes a novel stabilizing control method aimed at overcoming the instability challenges posed by the negative incremental resistance characteristics of a constant power load (CPL) within an autonomous microgrid (MG). The proposed stabilization technique integrates a power derivative-integral term with conventional droop control, strategically applied to enhance the MG's dynamic stability in the presence of CPL. The considered MG model, encompassing three inverter-based distributed generations (DGs), a constant impedance load (CIL), and CPL, is meticulously developed and simulated using MATLAB environment. Phase Locked Loop (PLL) is employed to synchronize the CPL with MG. The proposed controller is a key highlight, featuring optimally designed and tuned controller parameters for all DGs, CPL, and PLL. Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are employed …

Authors

Mohamed A Hassan,Muhammed Y Worku,Abdelfattah A Eladl,Mohamed R Elkadeem,Md Ismail Hossain,Mohammad A Abido

Journal

Arabian Journal for Science and Engineering

Published Date

2024/3/27

A Novel Fault Detection and Location Approach for DC Zonal Shipboard Microgrid based on High-Frequency Impedance Estimation with IEC 61850 Communication Protocol

This paper introduces an innovative adaptive scheme for detecting and locating faults in DC-zonal shipboard microgrids (SBMGs). This scheme relies on the estimation of high-frequency impedance. The proposed scheme is implemented in an intelligent electronic device (IED) in which the Fast Fourier Transform is applied to obtain the high-frequency components of the current and voltage at each node. Then, these components are exchanged between the two IEDs that protect the same line by using IEC 61850 GOOSE-based communication system. The estimated high-frequency impedance of the line is calculated and compared to the prescribed settings to detect and locate the fault. After fault detection and localization, communication signals are exchanged between the two IEDs positioned at each end of the line. This exchange precedes the transmission of tripping signals to the relevant circuit breakers for the …

Authors

Asmaa M Aboelezz,Magdi M El-Saadawi,Abdelfattah A Eladl,Vladimír Bureš,Bishoy E Sedhom

Journal

IEEE Access

Published Date

2024/3/5

An IoT-fog-cloud consensus-based energy management algorithm of multi-agent smart energy hubs considering packet losses and uncertainty

—As a result of the increasing demand for different energies with technological development, and with the rapid development of energy hubs (EHs), issues such as computation speed, big data and information privacy, robustness, etc. are becoming increasingly vital. Also, the problem of communication packet loss leads to an incompatibility between the generated and consumed energy. In response to the above problems, this paper proposes an Internet of things-Fog-Cloud distributed consensus-based energy management algorithm to optimally solve the energy mismatch problem in an EH environment considering communication information loss and uncertainties of some EH elements. A MATLAB/Simulink-based model of a hypothetical EH system is modified to support real-time communication. Two case studies are applied to explain the performance and effectiveness of the proposed algorithm under different …

Authors

Magda I El-Afifi,Magdi M El-Saadawi,Bishoy E Sedhom,Abdelfattah A Eladl

Journal

Renewable Energy

Published Date

2024/2/1

A comprehensive review on wind power spillage: Reasons, minimization techniques, real applications, challenges, and future trends

Most countries tend to largely exploit renewable energy resources for economic and environmental reasons. In modern electrical networks, wind penetration has been tremendously increased. This phenomenon has triggered an accelerating advance in wind technology with huge industry investments. Nowadays, increasing wind penetration without endangering power system reliability and security becomes a serious issue. Due to the significant uncertainty and variation of wind power generation (WPG), increasing wind penetration levels leads to frequency variation, voltage instability, and exceeding the transmission capacity limitations. To override the aforementioned problems, it becomes crucial either to “spill” wind or add a new dispatchable generation and/or storage systems. Performing a new dispatch provides an additional regulation and load following services. Recently, a significant amount of wind power …

Authors

Abdelfattah A Eladl,Samaa Fawzy,Elhossaini E Abd-Raboh,Akram Elmitwally,Gibran Agundis-Tinajero,Josep M Guerrero,Mohamed A Hassan

Published Date

2024/1/1

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

With the rapid development of electrical power systems in recent years, microgrids (MGs) have become increasingly prevalent. MGs improve network efficiency and reduce operating costs and emissions because of the integration of distributed renewable energy sources (RESs), energy storage, and source-load management systems. Despite these advances, the decentralized architecture of MGs impacts the functioning patterns of the entire system, including control strategy, energy management philosophy, and protection scheme. In this context, developing a convenient protection strategy for MGs is challenging because of various obstacles, such as the significant variance in short-circuit values under different operating modes, two-way power flow, asynchronous reclosing, protection blinding, sympathetic tripping, and loss of coordination. In light of these challenges, this paper reviews prior research on proposed …

Authors

Ahmed N Sheta,Gabr M Abdulsalam,Bishoy E Sedhom,Abdelfattah A Eladl

Published Date

2023/4

Distributed optimal dispatch of smart multi-agent energy hubs based on consensus algorithm considering lossy communication network and uncertainty

This paper proposes an IoT-Fog-Cloud distributed consensus algorithm for solving the energy hub (EH) dispatch problem with packet-dropping communication links and some of the EH elements' uncertainties. Every generating and consumption unit in this algorithm is required to estimate the total power generated, the total load, and the power mismatches. Energy node coordination is accomplished using a distributed approach. Such a distributed approach wins in work sharing, enduring a single link failure, effective decision-making, the quickest convergence, and autonomy for the global power nodes. The method works with all grid types in connected and islanded modes. Minimizing total operation cost and emissions while meeting the total demand and system constraints are the most crucial contributions of this paper. Two case studies are applied to explain the performance and effectiveness of the proposed …

Authors

Abdelfattah A Eladl,Magda I El-Afifi,Magdi M El-Saadawi,Bishoy E Sedhom

Journal

CSEE Journal of Power and Energy Systems

Published Date

2023/9/8

Minimizing the Wind Power Spillage based on the Dynamic Thermal Line Rating

With increasing wind speed, the energy generated from the wind turbines increases, at the same time, the transmission line conductors become more cooled and can therefore carry more power. However, because the transmission line capacity is determined under the worst conditions, so a large part of this generated energy is spilled. By using the dynamic thermal line rating, the existing lines can be rated in real-time rather than the more often utilized static thermal line rating. So, this paper studies the impact of the dynamic thermal line rating on reducing wind power spillage, power losses, and load shedding. This paper proposes the two-stage optimization model, in the first stage based on the genetic algorithm optimal power flow (GA-OPF), the amount of load shedding, wind power spillage, power losses, and carbon emission are minimized. Additionally, calculate the conductor temperature. While in the second …

Authors

Samaa F Osman,Elhossaini E Abd-Raboh,Abdelfattah A Eladl

Published Date

2023/12/19

Smart Building Demand Side Management Using Multi-Objective Archimedes Optimization Algorithms

This study presents an intelligent house energy management system that uses demand-side management load shifting to improve energy usage. This system optimizes home appliance management to moderate load demand, reducing power costs and peak-to-average ratio while prioritizing user comfort. Day-ahead and real-time load scheduling meet power customers’ demands. Multi-objective Archimedes optimization techniques help distribute workload evenly across ON-peak and Off-peak hours and provide a fitness criterion. Additionally, home appliance coordination for real-time rescheduling is being proposed. Due to its similarities, the real-time rescheduling problem is called a knapsack problem and is solved using dynamic programming. This study also tests the proposed methodology in real-time pricing. Simulation results with a 95% confidence interval demonstrate the significance of the proposed …

Authors

Magda I El-Afifi,Bishoy E Sedhom,Abdelfattah A Eladl

Published Date

2023/12/19

A review on energy hubs: Models, methods, classification, applications, and future trends

Increasing environmental concerns, scarcity of fossil fuel resources, and uncontrolled demand growth have led to upgrading and restructuring existing energy systems. Sustainable multi-energy systems (MESs) will dominate energy production in the future. Integrated management systems must be provided to plan and control the sustainable MESs for optimal operation. Energy hubs (EHs) represent one of the most promising concepts for optimal management systems in sustainable MESs. They can play a great role in moving towards sustainable MES models. This paper provides a comprehensive review of the concepts of EHs and their applications, also benefits gained from the integration of different energies. In addition, the paper discusses the effect of other related options like renewable energy resources, MESs, demand-side management, and energy storage systems. Finally, the paper presents the most …

Authors

Abdelfattah A Eladl,Magda I El-Afifi,Magdi M El-Saadawi,Bishoy E Sedhom

Published Date

2023/4/1

A new optimal centralized demand side management for a campus smart microgrid

Based on demand response and energy theft detection, a novel optimal demand side management (DSM) is proposed for a smart microgrid (SMG). A campus SMG containing photovoltaic (PV), wind turbine, diesel station, smart meters, inverters, batteries, sensors, domestic loads, and central} {DSM unit is built in MATLAB. The SMG elements are communicated using Wi-Fi protocol and internet of things (IoT) technology. The proposed DSM is optimally designed using Grey Wolf Optimization (GWO) to minimize the customer’s electricity bill, maximize the user comfort, and obtain the optimal load patterns in the hypothetical campus SMGs. It inspires consumers to alter their daily consumption patterns over a variable tariff according to real-time pricing (RTP), time of use (ToU), and critical peak pricing (CPP) methods. The results proved the proposed technique effectiveness for reducing the user’s electricity bill and …

Authors

Mohamed A Hassan,Abdelfattah A Eladl,Bishoy E Sedhom,Mohammed A Saeed

Published Date

2023/6/19

Practical prototype for energy management system in smart microgrid considering uncertainties and energy theft

The conventional electrical grid faces significant issues, which this paper aims to address one of most of them using a proposed prototype of a smart microgrid energy management system. In addition to relying too heavily on fossil fuels, electricity theft is another great issue. The proposed energy management system can simultaneously detect electricity theft and implement demand response tactics by employing time-of-use pricing principles and comparing real electricity consumption with grid data. The system uses the Al-Biruni earth radius (BER) optimization algorithm to make smart choices about how to distribute the load, intending to reduce energy consumption and costs without sacrificing comfort. As a bonus, it considers limitations imposed by battery charging/discharging and decentralized power generation. Incorporating sensors and SCADA-based monitoring, the system provides accurate measurement …

Authors

Mohammed A Saeed,Bishoy E Sedhom,Abdelrahman S Elbaghdadi,Ahmed W Fadl,Mohammed S Abdelwahab,Menna H Elden,Bilal Naji Alhasnawi,Abdelfattah A Eladl

Journal

Scientific Reports

Published Date

2023/11/27

Medium-Term Optimal Operation of Energy Hub in the Presence of an Energy Storage System Under Uncertainty of Electricity Price and Wind Speed

Energy hubs (EHs) are crucial in multi-carrier energy systems, but further research is needed for a deeper understanding. This paper fills this gap by focusing on the medium-term management of an EH in restructured power systems. The model here oversees an EH that handles electrical energy and natural gas to produce electricity and heat. Electricity is procured through methods like market purchases, bilateral contracts, or generation from combined heat and power (CHP) units, diesel generators, and wind turbine generators. An energy storage system (ESS) is integrated to balance supply and demand. Managing this complex hub is challenging due to uncertainties in price and wind output, alongside heat demand met by a furnace and CHP unit. Operators must decide to buy electricity and gas or generate power from different sources, all while minimizing costs with stochastic programming under technical …

Authors

Mahmoud M Elmogy,Bishoy E Sedhom,Abdelfattah A Eladl

Published Date

2023/12/19

Energy management system in smart buildings based coalition game theory with fog platform and smart meter infrastructure

This paper proposes a central energy management system (EMS) in smart buildings. It is based on the coalition method for optimal energy sharing between smart buildings. Game theory is applied to obtain an optimal allocation of the building's surplus energy on the deficient energy buildings using the Shapley value, which enables the unequal energy distribution based on the energy demand. The main objective is reducing energy waste while preserving the generation/demand balance. The fog platform with memory storage is applied, which handles all the measured data from the smart buildings through Wi-Fi-based communication protocol and performs the EMS program. The smart meter links the smart buildings with the fog-based EMS central unit. Two scenarios are implemented based on the difference between total deficient and surplus energy. Coalition game theory is applied for optimal surplus energy …

Authors

Mohammed A Saeed,Abdelfattah A Eladl,Bilal Naji Alhasnawi,Saad Motahhir,Anand Nayyar,Mohd Asif Shah,Bishoy E Sedhom

Journal

Scientific Reports

Published Date

2023/2/4

IEC 61850 Communication-Based Pilot Distance Protective IED for Fault Detection and Location in DC Zonal Shipboard Microgrid

An intelligent electronic device (IED) is presented in this article to provide rapid fault detection and location method for ship power systems (SPSs). The IED employs the pilot distance protection scheme with IEC 61850 communication network. The proposed distance scheme depends on the high-frequency fault transient feature in which the high-frequency components of current and voltage are extracted and analyzed to estimate the system's impedance and the fault's location by comparing the estimated impedance with the prescribed threshold. After that, the proposed IEDs can communicate with each other based on IEC 61850 to protect the whole line instantaneously. A 660 V DC zonal SPS is simulated using MATLAB/Simulink environment. The proposed IED is further validated experimentally using a small-scale prototype. The proposed method can quickly and accurately identify faulted areas and locate faults …

Authors

Asmaa M Aboelezz,Magdi M El-Saadawi,Abdelfattah A Eladl,Bishoy E Sedhom

Journal

IEEE Transactions on Industry Applications

Published Date

2023/6/7

LoRaWAN-based IoT protocol for three levels central protection scheme in MT-HVDC networks with ANFIS-PSO restoration algorithm

A new three-level adaptive central protection scheme has been introduced for multi-terminal high voltage direct current (MT-HVDC) transmission grids. The primary protection is based on a differential relay, while two backup protection levels are proposed: a local dv/dt under-voltage relay and a centralized overcurrent relay at the AC grid side. The coordination of these three protection levels is managed based on a convenient coordination time. The communication between the central protection unit and the Fault Isolation Devices (FIDs) is established using the LoRaWAN-based Internet of Things (IoT) protocol. In case of fault clearance triggered by the third protection level, the faulty line is detected and isolated using the adaptive neuro-fuzzy inference system (ANFIS) algorithm. The restoration process of the healthy lines focuses on minimizing load shedding and line power loss. The protection scheme proposed in …

Authors

Abdelfattah A Eladl,Mohammed A Saeed,Bishoy E Sedhom,Almoataz Y Abdelaziz,Vladimír Bureš

Journal

Energy Reports

Published Date

2023/11/1

Artificial Neural Network-based PI control of battery energy storage system connected with MMC-HVDC system

Offshore wind farm (OWF) has received considerable attention as it is growing exponentially worldwide. Nowadays, a modular multilevel converter-based high voltage direct current (MMC-HVDC) system is a promising topology for connecting the offshore wind farm to the grid because of its modular characteristics and low switching frequency operation. Moreover, it does not require an expensive filter as it can generate almost pure sine waves. The energy storage system is used to improve the transient performance of MMC-HVDC and to manage the surplus energy in the HVDC system. Moreover, it is used to offer auxiliary services to the electrical grid. The lithium-ion battery energy storage system is used widely because of its superior performance in terms of high energy density and stability. A DC-DC boost converter is used as an interface between BESS and MMC-HVDC. This paper proposed a control strategy for …

Authors

Yara A Sultan,Abdelfattah A Eladl,Sahar S Kaddah

Published Date

2023/12/19

Probabilistic Assessment of Power Systems Resilience Under Natural Disasters

Extreme weather can have a substantial influence on a power system's operational resilience since they are high-impact, low-probability (HILP) events. Therefore, Power systems must be resilient to HILP incidents in addition to being reliable against widely spread and credible threats. Despite the rarity of such events, the severity of their potential impact necessitates the development of appropriate resilience assessment tools to capture their implications and enhance the resilience of energy infrastructure systems. In this paper, a probabilistic strategy is proposed to assess and evaluate the operational resilience of power distribution networks against the impacts of HILP events depending on value-at-risk and conditionally value-at-risk quantitative risk-based assessments. With several scenarios built on sequentially Monte Carlo simulations, the consequence of a windstorm on a distribution network can be assessed using a probability-based resilience assessment methodology. The presented method is examined on an IEEE 37-bus system. Different case studies based on detailed data are presented and analyzed to demonstrate the proposed method's usefulness.

Authors

Enas M Hegazy,Abdelfattah A Eladl,Magdi M El-Saadawi

Journal

Mansoura Engineering Journal

Published Date

2023

State-of-the-art review on shipboard microgrids: Architecture, control, management, protection, and future perspectives

Shipboard microgrids (SBMGs) are becoming increasingly popular in the power industry due to their potential for reducing fossil-fuel usage and increasing power production. However, operating SBMGs poses significant challenges due to operational and environmental constraints. To address these challenges, intelligent control, management, and protection strategies are necessary to ensure safe operation under complex and uncertain conditions. This paper provides a comprehensive review of SBMGs, including their classifications, control, management, and protection, as well as the most recent research statistics in these areas. The state-of-the-art SBMG types, propulsion systems, and power system architectures are discussed, along with a comparison of recent research contributions and issues related to control, uncertainties, management, and protection in SBMGs. In addition, a bibliometric analysis is performed to examine recent trends in SBMG research. This paper concludes with a discussion of research gaps and recommendations for further investigation in the field of SBMGs, highlighting the need for more research on the optimization of SBMGs in terms of efficiency, reliability, and cost-effectiveness, as well as the development of advanced control and protection strategies to ensure safe and stable operation.

Authors

Asmaa M Aboelezz,Bishoy E Sedhom,Magdi M El-Saadawi,Abdelfattah A Eladl,Pierluigi Siano

Published Date

2023/5/22

Efficient fault detection, localization, and isolation in MT-HVDC systems based on distance protection and LoRaWAN communication

Multiterminal High-Voltage Direct Current (MT-HVDC) systems offer numerous benefits compared to conventional alternating current (AC) power systems, including higher power density and improved efficiency. However, the need for adequate protection schemes for HVDC systems remains a significant obstacle to their widespread adoption. Much attention has been given to developing HVDC protection methods to address this. Moreover, the protection of MT-HVDC systems presents a challenge due to bidirectional power flow, dynamic system characteristics, and fault current characteristics that cannot be addressed using conventional methods. This paper represents a centralized protection unit based on a distance protection scheme that involves a two-stage relay process. The first stage involves fault detection by measuring voltage and current to obtain the system impedance, which is then compared to the …

Authors

Asmaa M Aboelezz,Abdelfattah A Eladl,Mohamed T Abo Amasha,Manar H Elderigi,Mohamed A Mohamed,Sara W Aldoadoa,Abdelrahman R Elhamedy,Hana M Alnegeri,Taher M Elshreef,Ali A Eldwany,Mohanad S Shabka,Bilal Naji Alhasnawi,Bishoy E Sedhom,Vladimír Bureš

Journal

Energy Reports

Published Date

2023/11/1

Performance Evaluation of Existing Overcurrent Protection in Microgrids

In recent times, the rapid development of power systems has caused the emergence of microgrids (MGs). These new grids offer numerous benefits such as improved energy efficiency, reliability, and supply sustainability. However, the presence of distributed energy resources (DERs) introduces complexities to ensure the protection of MGs, surpassing those encountered in traditional grids. Driven by the integration of DERs in the system, changes in fault currents have occurred, contingent upon the location, capacity, and type of DERs as well as the operating mode of MGs, grid-connected or islanded mode. These changes yield adverse consequences on existing protection relays such as sympathetic tripping, bidirectional current flow, protection blindness, loss of selectivity and sensitivity, and mis-coordination. Efficient handling of these challenges is crucial to establish effective protective schemes and making the …

Authors

Ahmed N Sheta,Bishoy E Sedhom,Abdelfattah A Eladl

Published Date

2023/12/19

Stability Enhancement of Interconnected VSC-HVDC System Considering Efficient MPC-Based SMES

As a highly proficient technology, high-voltage direct current (HVDC) is utilized to interconnect asynchronous networks and interface renewable energy resources with electric grids. However, this interconnection raises the fluctuation and instability problems at high-voltage levels. Recently, superconducting magnetic energy storage (SMES) is employed to overcome these problems. The SMES influential use trusts on its control approach. In this paper, a model predictive control (MPC) technique is proposed to control the SMES connected to the AC side of an interconnected HVDC system. A voltage source converter (VSC)-based SMES with HVDC system is modeled in MATLAB® environment. The impact of the proposed MPC-based SMES on the dynamic performance of the interconnected HVDC system is investigated. To demonstrate the effectiveness of the proposed controller, the HVDC system performance has …

Authors

Abdelfattah A Eladl,Yara A Sultan,Sahar S Kaddah,Mohammad A Abido,Mohamed A Hassan

Journal

Arabian Journal for Science and Engineering

Published Date

2023/5

Techno-economic multi-objective reactive power planning in integrated wind power system with improving voltage stability

Electrical power systems encounter a variety of challenges due to load growth and technological improvement; reactive power planning (RPP) and improvement of voltage stability (VS) are the two most significant ones. The integration of wind farms (WFs) into power networks has many advantages in terms of operation cost and emissions. But leads to voltage instability if it is not optimally sized, placed, and coordinated with VAR sources. In this study, a probabilistic multi-objective RPP framework is proposed for power systems with high penetration of WFs. A novel wind turbine model that can dynamically control reactive power is suggested based on the capability curve of a double-fed induction generator. A new bi-level optimization technique is introduced to address the problem considering the uncertainties of loads and wind power. Multi-objective genetic algorithm is employed at the upper level to optimally …

Authors

Abdelfattah A Eladl,Mohamed I Basha,Azza A ElDesouky

Journal

Electric Power Systems Research

Published Date

2023/1/1

Optimal allocation of multi-type FACTS devices for mitigating wind power spillage with enhancing voltage stability and social welfare

Most of countries around the world tends to increases the penetration of renewable energies generation in electrical power networks. This led to the emergence of many challenges in these systems, such as congestion of lines, voltage instability, etc. The most important of these problems is the spillage of renewable energies in order to maintain the stability of the power system. However, by using the traditional methods to mitigate the spillage, the stability of the power system may be deteriorated leading to a vulnerable power system against disturbances. This paper proposes a bilevel multi-objective Musical Chairs optimization algorithm for optimal allocation of multi-type flexible AC transmission system (FACTS) devices. The main target of the upper-level is to reduce the wind power spillage with minimize the investment cost of FACTS devices and load shedding, while maximize the voltage stability. Moreover …

Authors

Samaa Fawzy,Elhossaini E Abd-Raboh,Abdelfattah A Eladl

Journal

Scientific Reports

Published Date

2023/10/19

Sizing PV-Battery Storage Grid-Connected System based on Levelized Cost of Energy

The use of battery energy storage system (BESS) and photovoltaic (PV) (PV-BESS) has recently become critically important due to the rise in the price of traditional fuel and the increase in energy demand. The primary goal of this paper is to obtain the most efficient and cost-effective energy-supplying system by choosing from the grid, PV, and BESS for use with a specific demand. The BESS size is computed using a repeated analytical technique, which also generates several combinations of PV-BESS. The levelized cost of energy (LCOE) formula is suggested for calculating the cost of PV-BESS, considering an extra amount of PV energy production and energy purchased from the grid with different three types of BESS. The size of the PV-BESS is determined based on solar radiation, temperature, and load behavior over a whole year. The results indicate that the optimal LCOE of the system occurs at a rated PV …

Authors

Ahmad Zakaria,Abdelfattah A Eladl,Ibrahim I Mansy,Sobhy M Abdelkader

Published Date

2023/12/19

Energy management system for smart microgrids considering energy theft

In this paper, a proposed energy management system for a smart microgrid (SMG) has been implemented. It is based on demand response and electricity theft detection. The objectives of the proposed algorithm are electricity cost minimization and user comfort maximization. A genetic algorithm (GA) has been used to obtain the optimal load management decisions to achieve the system's objective functions with the satisfaction of different operational constraints as maximum and minimum values for charging and discharging batteries and distributed energy resources (DER) limits. All the system loads are controlled using sensors connected to each appliance at the consumer's side. The data are sent to the central management unit that indicates the system load operation status as controllable, shedable, and shiftable. The results show the effectiveness of the proposed algorithm in the reduction of electricity costs and …

Authors

Abdelfattah A. Eladl,Mohammed A. Saeed,Bishoy E. Sedhom

Published Date

2022

Online estimation of thévenin equivalent using discrete fourier transform

This paper presents a method for the determination of the Thévenin equivalent (TE) parameters of a power system using local phasor measurement unit (PMU) measurements. The proposed method is based on an innovative use of Discrete Fourier Transform (DFT), where the DFT coefficients are calculated for the measured voltage and current phasors, which are used to determine the TE parameters. The method presented exploits the characteristics of DFT to develop a new simple and efficient method for TE determination. The calculated DFT is also utilized to detect the presence of measurement errors and to get the best estimate of TE parameters in such conditions and also enable identification of the erroneous measurement. The proposed method is illustrated using a simple system and tested with the data of standard test systems, which all verified the accuracy of the proposed method.

Authors

Abdelrahman Sobhy,Mohammed A Saeed,Abdelfattah A Eladl,Sobhy M Abdelkader

Journal

Electric Power Systems Research

Published Date

2022/4/1

Cogeneration systems performance analysis as a sustainable clean energy and water source based on energy hubs using the Archimedes optimization algorithm

Different energy requirements of the residential sector are varied, such as electricity, heating, cooling, water, etc., and these necessities are met by multi-energy systems using various energy sources and converters. In this paper, an optimal day-ahead operation of a large residential demand sector is presented based on the energy hub (EH) model with combined heat and power (CHP) as a cogeneration system. The purpose of the optimization is to maximize social welfare (SW) and minimize environmental emissions subjected to numerous technical constraints. To explore the effectiveness of the proposed model, real cases were studied and results were analyzed. Moreover, to evaluate the efficiency of the proposed methodology, the Archimedes optimization algorithm (AOA) is implemented for optimizing the EH system. The performance of the AOA is compared with the genetic algorithm, and the results depict that the AOA is better in terms of convergence speed and global search ability. Implementation of the proposed framework shows that the total SW is increased by 27.44% and environmental emissions are reduced by 18.36% compared to the base case without the EH. Additionally, there is 512.26 MWh and 149.4 m3 as a surplus in the electricity and water that are sold to every network, respectively.

Authors

Magda I El-Afifi,Magdi M Saadawi,Abdelfattah A Eladl

Journal

Sustainability

Published Date

2022/11/9

Optimal allocation of phasor measurement units in distribution power systems

Phasor measurement unit (PMU) is deemed a pivotal tool in wide-area monitoring, protection, and control of power systems. The optimal allocation of PMUs has recently received more attention. In this paper, Binary Integer Programming (BIP) technique is proposed to optimally allocate PMUs in the power network keeping complete observability of the network and reducing the total numbers of PMUs. The proposed technique is tested and examined through different systems to investigate the effectiveness of BIP. Additionally, the BIP is compared with different techniques to verify its superiority and reveal the main contributions of BIP-based algorithms using different IEEE test systems. The proposed method shows an efficient technique while placing PMUs through direct, simple, and linear formulas regardless of the network scale or configuration; transmission, or distribution systems. Moreover, the whole process …

Authors

Abdelfattah A Eladl,Ahmed N Sheta,Mohammed A Saeed,Mohammed A Abido,Mohamed A Hassan

Journal

Alexandria Engineering Journal

Published Date

2022/10/1

Multi-objective-based reactive power planning and voltage stability enhancement using FACTS and capacitor banks

Reactive power planning (RPP) and voltage stability improvement (VSI) consider two of the most important problems to meet a major challenge of the power system. In this work, a multi-objective genetic algorithm (MOGA) for RPP with objectives of cost minimization of the power losses, new reactive power (VAR) sources, maximization of the VSI, and enhancement of total transfer capacity (TTC) is introduced. Different optimization variables are considered including generator voltages, transformer tap changers besides load, and different operational constraints. The best compromise solution is determined through a fuzzy min–max approach. Comparison studies among capacitor banks, flexible ac transmission systems (FACTS) or both as new VAR support sources to achieve better performance are explored. Moreover, the optimal allocations of switchable VAR sources are not determined in advance; instead, they …

Authors

Abdelfattah A Eladl,Mohamed I Basha,Azza A ElDesouky

Journal

Electrical Engineering

Published Date

2022/10

Internal electrical fault detection techniques in DFIG-based wind turbines: a review

The keys factor in making wind power one of the main power sources to meet the world's growing energy demands is the reliability improvement of wind turbines (WTs). However, the eventuality of fault occurrence on WT components cannot be avoided, especially for doubly-fed induction generator (DFIG) based WTs, which are operating in severe environments. The maintenance need increases due to unexpected faults, which in turn leads to higher operating cost and poor reliability. Extensive investigation into DFIG internal fault detection techniques has been carried out in the last decade. This paper presents a detailed review of these techniques. It discusses the methods that can be used to detect internal electrical faults in a DFIG stator, rotor, or both. A novel sorting technique is presented which takes into consideration different parameters such as fault location, detection technique, and DFIG modelling. The …

Authors

Abdelwahab D Bebars,Abdelfattah A Eladl,Gabr M Abdulsalam,Ebrahim A Badran

Published Date

2022/4

Dynamic stability performance of autonomous microgrid involving high penetration level of constant power loads

Nowadays, behaving as constant power loads (CPLs), rectifiers and voltage regulators are extensively used in microgrids (MGs). The MG dynamic behavior challenges both stability and control effectiveness in the presence of CPLs. CPLs characteristics such as negative incremental resistance, synchronization, and control loop dynamic with similar frequency range of the inverter disturb severely the MG stability. Additionally, the MG stability problem will be more sophisticated with a high penetration level of CPLs in MGs. The stability analysis becomes more essential especially with high-penetrated CPLs. In this paper, the dynamic stability performance of an MG involving a high penetration level of CPLs is analyzed and investigated. An autonomous MG engaging a number of CPLs and inverter distributed generations (DGs) is modeled and designed using MATLAB. Voltage, current, and power controllers are optimally designed, controlling the inverter DGs output. A power droop controller is implemented to share the output DGs powers. Meanwhile, the current and voltage controllers are employed to control the output voltage and current of all DGs. A phase-locked loop (PLL) is essentially utilized to synchronize the CPLs with the MG. The controller gains of the inverters, CPLs, power sharing control, and PLL are optimally devised using particle swarm optimization (PSO). As a weighted objective function, the error in the DC voltage of the CPL and active power of the DG is minimized in the optimal problem based on the time-domain simulation. Under the presence of high penetrated CPLs, all controllers are coordinately tuned to ensure an …

Authors

Mohamed A Hassan,Muhammed Y Worku,Abdelfattah A Eladl,Mohammed A Abido

Journal

Mathematics

Published Date

2021/4/21

VSC‐HVDC system‐based on model predictive control integrated with offshore wind farms

Recently, the offshore wind farms (OWFs) have excellent potential in global power networks. So, the demand for high power and high‐quality transmission system is becoming more pressing with the fast growth of OWFs. A promising solution is provided by the voltage source converter‐high voltage direct current (VSC‐HVDC) system. This paper proposes a control method for controlling the VSC‐HVDC system to integrate OWFs into power grids based on model predictive control (MPC). To minimise the distortion and filtering of the harmonics injected into the utility grid, the receiving end converter of the VSC‐HVDC system is connected with LCL filter. The proposed control strategy maintains active/reactive power‐sharing with efficient regulation of AC voltage among the different OWFs operation conditions. The detailed system components modelling and simulation are executed in the MATLAB/Simulink environment …

Authors

Yara A Sultan,Sahar S Kaddah,Abdelfattah A Eladl

Journal

IET Renewable Power Generation

Published Date

2021/4

Reactive Power Planning and Total Transfer Capability Enhancement using Facts and Capacitor Banks.

In view of the continuous annual increase in demand, reactive power planning (RPP) is considered one of the most significant problems to address a major challenge of the secure power system operation. In this paper, a multi-objective genetic algorithm (MOGA) for RPP is proposed, with the goals of cost minimization of power losses, new reactive power (VAR) sources, and maximizing the Total Transfer Capacity (TTC). Different optimization factors are taken into account, including generator voltages, transformer tap changers, and various operating constraints. A fuzzy min-max approach is used to identify the optimum compromise option. Studies are being conducted to compare capacitor banks, flexible ac transmission systems (FACTS), or both as a new VAR support source to improve the system performance. Moreover, the optimal allocations of switchable VAR sources are not determined in advance; instead, they are treated as control variables to improve the techno-economic operation of the network. The effectiveness of the proposed algorithm is examined on the IEEE 30-bus test system where felicitous results have been acquired. From the results, the total annual cost is decreased from 3.671×106 $ before adding new VAR sources to a range between 2.02×106 and 2.486×106 $ depending on the selected type of VAR source. While the transfer capacity is increased from 458.37MW to a range between 483.084 and 539.055 MW.

Authors

Mohammad I Basha,Abdelfattah A Eladl,Azza A ElDesouky

Journal

MEJ-Mansoura Engineering Journal

Published Date

2021/9/29

IoT technology-based protection scheme for MT-HVDC transmission grids with restoration algorithm using support vector machine

This paper proposes a protection scheme for multi-terminal high voltage direct current (MT-HVDC) transmission grids. The proposed scheme is based on three protection levels; di/dt overcurrent protection as the main protection, dv/dt undervoltage protection as a backup one protection. If the main and backup one fails to detect and clear the fault current, then the fault tripping and clearing is accomplished using the overcurrent protection by AC circuit breakers (ACCBs) in the AC grid side after a coordinated time. The tripping in the main and backup one protection levels are based on using fault isolation devices (FIDs) tripping. Support vector machine (SVM) is proposed for the fault detection and discrimination in the MT-HVDC using the backup two protection system. The Internet of things (IoT) has been used for monitoring and coordination between the AC grid and MT-HVDC grid. The proposed protection scheme is …

Authors

Abdelfattah A. Eladl,Mohammed A. Saeed,Bishoy E. Sedhom,Josep M. Guerrero

Journal

IEEE Access

Published Date

2021/6/3

Online tracking of fault location in distribution systems based on PMUs data and iterative support detection

Fast and accurate locating of electrical faults along power networks enhances system reliability and continuity of supply, quick reclamation of the power supply and subsequently decreasing service outage time. This paper introduces a new technique for online tracking of fault location in distribution networks based on system measurements available from Phasor Measurement Units (PMUs) and Iterative Support Detection (ISD) technique. During and prefault, the voltages are measured by PMUs which are optimally located along the network. From the voltage change vector and system impedance matrix, a current change vector involving a nonzero element corresponds to the faulty point is obtained. Since PMUs are not placed at all buses, the acquired system equation is underdetermined. Therefore, ISD technique is used to solve and recover the current vector that is sparse in nature. The proposed method is …

Authors

Ahmed N Sheta,Gabr M Abdulsalam,Abdelfattah A Eladl

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2021/6/1

IoT-based optimal demand side management and control scheme for smart microgrid

Renewable energy resources (RESs) are highly speared to cover colossal electricity demand. Smart microgrids (SMGs) are engaged with demand-side management (DSM) to save more energy and maximize energy efficiency. Voltage and frequency regulations, CO2 emission, peak-to-average ratio (PAR), RES stochastic nature, and load dynamics are still considered the most SMG challenges. New control and management approaches are needed to overcome these challenges. Internet of Things (IoT) is accomplished to provide adaptive monitoring of energy consumption and ensure an economical and secure operation of the SMG. This paper proposes an advanced DSM and control strategy for an efficient energy management system (EMS) in SMG. An optimal cost-effective EMS operation is firstly introduced based on a two-level genetic algorithm (GA) optimization problem and augmented with the time-of-use …

Authors

Bishoy E Sedhom,Magdi M El-Saadawi,MS El Moursi,Mohamed A Hassan,Abdelfattah A Eladl

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2021/5/1

A Survey of Fault Location Techniques for Distribution Networks.

Since recent societies become more hooked into electricity, a higher level of power supply continuity is required from power systems. The expansion of those systems makes them liable to electrical faults and several failures are raised due to totally different causes. As a result of these failures, the faulty element ought to be disconnected and isolated as soon as possible to reduce the damage and remove the emergency state from the whole system. Power quality considerations impose the grid to spot the faulted area as rapidly as doable, which forces utility operators in speeding up fault detection and system recovery and subsequently decreasing blackout time and pertinent costs. All these conditions have raised incredible significances about investigating methods and techniques used for fast detecting of faulted area, thus this matter needs to be pulled in broad consideration among researchers in power systems. In this paper, a comparative environment classifies and surveys a wide number of fault location procedures for distribution networks. The paper can be considered as a guide for operating engineers and researchers to settle on the foremost viable plausibility backed their existing framework and necessities

Authors

Ahmed N Sheta,Gabr Mohamed Abdulsalam,Abdelfattah Ali Eladl

Journal

MEJ-Mansoura Engineering Journal

Published Date

2020/6/28

Optimal operation of energy hubs integrated with renewable energy sources and storage devices considering CO2 emissions

Electricity production, heat, and cooling requirements are one of the main problems for energy distribution network businesses. Different energy grids like gas and electricity run concurrently as a particular solution for overcoming the issue. “Energy Hub” (EH) is a vague approach for an energy center composed of electricity, gas, heat and at times cooling networks. Energy hub systems can be considered as a powerful alternative to improve the use of existing energy resources. This paper proposes a novel technique for optimum operation and configuration of multiple energy hubs. The proposed EH contains different types of energy sources and generation with multi-type energy storage devices to feed electrical, heating and gas demands. The EH contains renewable energy resources (wind and PV), combined heat and power cogeneration, power-to-gas units and gas-fired generator to provide interdependencies of …

Authors

Magdi M.El-Saadawi Abdelfattah A.Eladl,Magda I.El-Afifi,Mohammed A.Saeed

Journal

International Journal of Electrical Power & Energy Systems

Published Date

2020/5

Integrating Dynamic Line Rating in Security Constrained Optimal Power Flow Considering Wind Power Generation.

Traditional optimal power flow (OPF) problem is solved considering static line rating (SLR) of the transmission lines which are constant values of power flow limits. This led to underutilization of the network and higher locational marginal prices (LMPs). Dynamic line rating (DLR) is one of the active solutions to enhance ampacity for overhead transmission lines (OHTL), especially with the penetration of high wind power without investing in an additional transmission line network. This paper investigates the effect of integrating the DLR on power dispatch with uncertainty levels due to renewable energy sources (RES) generation. The model propose is a multi-period security-constrained OPF based on particle swarm optimization (SCOPF/PSO) that takes into consideration the steady-state heat-balance equation (SS-HBE) of the OHTL and the ramp-up time of generation units. The problem is a multi-objective optimization one; the main objective is to maximize the social welfare (SW) by minimizing total system operation cost and maximizing the revenue from the energy consumers, whereas the second objective is to minimize the thermal emissions. To demonstrate the effectiveness of the proposed model, a case study is applied to the modified IEEE 30-bus test system. The results expound on the effectiveness of the proposed approach.

Authors

Ahmed Atef Elesherpiny Hamed,Sobhy Mohamed Abdelkader,Abdelfattah Ali Eladl

Journal

MEJ-Mansoura Engineering Journal

Published Date

2020/9/5

Adaptive control system for biogas power plant using model predictive control

This paper presents an adaptive control system using model predictive control for a biogas-fueled power system. The control scheme is derived from an anaerobic digestion model that includes the concentration of biodegradable volatile solid in the reactor, the concentration of volatile solid in influent, the concentration of acidogens, and the concentration of methanogens. All these concentrations are the state variables of model predictive control. The whole biogas-fueled power system has been modeled, implemented, and tested in MATLAB/Simulink environment. To validate the performance of the proposed controller, different operation conditions are studied and analyzed. The simulation results prove the effectiveness and the applicability of the proposed control system under different operating conditions.

Authors

Samaa Fawzy,Mohammed Saeed,Abdelfattah Eladl,Magdi El-Saadawi

Journal

Journal of Modern Power Systems and Clean Energy

Published Date

2020/7/31

Impact of Energy Storage Devices on the Distribution System Stability with Distributed Generation.

Renewable energy sources have environmental and economic advantages, but it causes many fluctuations and severe problems on the power system. One solution to decrease these problems are designing renewable sources as distributed generations (DGs) on the power distribution system. But it is necessary to add energy storage systems (ESS) to the power system to improve the impact of DGs on the power system stability. In this paper, the photovoltaic system (PV) with energy storage devices such as battery or superconducting magnetic energy storage systems (SMES) is added to the power system and analyzed the stability of the system by using the software program, “MATLAB/Simulink®”. The transient stability of the power system is studied based on many factors as maximum rotor speed deviation, the drop-in grid voltage, and the drop in DC voltage of the PV. A different abnormal system states are simulated to show the effect of system configuration on its stability. For validation, a comparative study is implemented. From the results, it is found that the stability of the power system is improved through the adding of the PV system and increased by adding energy storage systems.

Authors

Mohamed Talal,Sahar Sedky Kaddah,Abdelfattah A Eladl

Journal

MEJ. Mansoura Engineering Journal

Published Date

2020/7/18

Abdelfattah A. Eladl FAQs

What is Abdelfattah A. Eladl's h-index at Mansoura University?

The h-index of Abdelfattah A. Eladl has been 11 since 2020 and 12 in total.

What are Abdelfattah A. Eladl's top articles?

The articles with the titles of

Interactive demand response and dynamic thermal line rating for minimizing the wind power spillage and carbon emissions

Instability Mitigation of Constant Power Load in Microgrid

A Novel Fault Detection and Location Approach for DC Zonal Shipboard Microgrid based on High-Frequency Impedance Estimation with IEC 61850 Communication Protocol

An IoT-fog-cloud consensus-based energy management algorithm of multi-agent smart energy hubs considering packet losses and uncertainty

A comprehensive review on wind power spillage: Reasons, minimization techniques, real applications, challenges, and future trends

Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

Distributed optimal dispatch of smart multi-agent energy hubs based on consensus algorithm considering lossy communication network and uncertainty

Minimizing the Wind Power Spillage based on the Dynamic Thermal Line Rating

...

are the top articles of Abdelfattah A. Eladl at Mansoura University.

What are Abdelfattah A. Eladl's research interests?

The research interests of Abdelfattah A. Eladl are: Power System Economics, Power Quality, HVDC Protection, Energy Hubs

What is Abdelfattah A. Eladl's total number of citations?

Abdelfattah A. Eladl has 595 citations in total.

What are the co-authors of Abdelfattah A. Eladl?

The co-authors of Abdelfattah A. Eladl are sobhy abdelkader.

    Co-Authors

    H-index: 26
    sobhy abdelkader

    sobhy abdelkader

    Egypt-Japan University of Science and Technology

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