Abdelazeem A. Abdelsalam

Abdelazeem A. Abdelsalam

Suez Canal University

H-index: 16

Africa-Egypt

Abdelazeem A. Abdelsalam Information

University

Suez Canal University

Position

Associate Professor Electrical Engineering Dept Faculty of Engineering

Citations(all)

1059

Citations(since 2020)

671

Cited By

618

hIndex(all)

16

hIndex(since 2020)

15

i10Index(all)

28

i10Index(since 2020)

22

Email

University Profile Page

Suez Canal University

Abdelazeem A. Abdelsalam Skills & Research Interests

Power Quality

FACTS

Kalman Filter

Filters

Distributed Generators

Top articles of Abdelazeem A. Abdelsalam

Novel Orthogonal Time Frequency Space Based on Universal Filter Multi Carrier for 6G Wireless Networks

Obtaining an efficient multicarrier signalling technique is an essential part in signal processing of the (6G) wireless networks. In order to achieve their intended objectives, the 6G mobile networks needs the utilization of a multicarrier scheme that possesses the ability to withstand multipath fading and inter-symbol interference (ISI), as well as exhibit resilience against inter-carrier interference (ICI) and Doppler spread. In recent research, several filter-based methods have been suggested, including Filter Bank Multicarrier (FBMC), as well as various Orthogonal Frequency Division Multiplexing (OFDM) based techniques such as Universal Filtered Multicarrier (UFMC). Orthogonal Time-Frequency Space (OTFS) technique has been identified as a promising candidate waveform for 6G, particularly in high-mobility scenarios, where it has demonstrated superior performance compared to traditional OFDM-based techniques. The OTFS method offers an advantage in that it can be considered the pre-and post-processing stages for techniques based on OFDM. This papaer presents the design (OTFS) using (UFMC) technique. Additionally, a novel structure is proposed for coded/uncoded UFMC-based OTFS technique, which combines the advantages of both strategies while mitigating their limitations. The results of our analysis demonstrate that the UFMC-based OTFS system exhibits superior performance in terms of error probability and time-spectral efficiency compared to the OFDM-based OTFS system.

Authors

Ahmed Eldemiry,Abdelazim A Abdelsalam,Heba M Abdel-Atty,Ahmed Azouz,Walid Raslan

Journal

Journal of Advanced Research in Applied Sciences and Engineering Technology

Published Date

2025

Detection of PQ Short Duration Variations using Stockwell Transform with LSTM

Classification and detection of power quality disturbances (PQDs) are high priorities within the electrical power system. We are using feature extraction with artificial intelligence (AI) and deep learning to solve PQD problems using a two-step methodology: Feature extraction and classification steps, with the Feature extraction step utilizing Stockwell Transform and the classification step employing Long Short-Term Memory techniques. This work aims to use Stockwell Transform as a feature extraction using a Deep Learning (DL) approach known as LSTM for the classification and detection of PQ disturbance occurrences.Signal characteristics are collected from the time-frequency analysis data based on Stockwell transform utilizing the Deep Learning technique in the long short-term memory (LSTM) network, which finds and classifies PQ disturbance events. By integrating the S-transform with the long short-term memory (LSTM) network, it is possible to achieve a high level of classification efficiency. Many PQ disturbances are treated with single and combination disruptions. The findings demonstrate that the proposed approach is precise and robust in detecting and identifying single and combination PQ disruptions. In comparison with many concise studies, the proposed strategy performs well.

Authors

Mohamed Ali Ali,Eyad S Oda,Almoataz Y Abdelaziz

Journal

Suez Canal Engineering, Energy and Environmental Science

Published Date

2023/7/1

Antenna Array Pattern Synthesis for 5G Wireless Communications

One of the potential 5G communication techniques that could enable the explosive growth of wireless communication services is beamforming, which helps make effective use of the existing frequency band and maintain signal quality. The beamforming technique aims to shape the radiation pattern to be targeted at the desired user and effectively suppress noise and interference. In this paper, beamforming optimization using the Hybrid Particle Swarm Optimization algorithm and Gravitational Search Algorithm technique (PSOGSA) using Linear Antenna Array (LAA) by suppressing the Sidelobe Level (SLL) of LAA is presented. The optimization process is introduced to find the optimum elements amplitude excitation, and positions in the array. PSOGSA optimization result is illustrated in comparison with other existing algorithms. Simulation results demonstrate the effectiveness of using PSOGSA, which has achieved the most suppressed SLL. The recommended approach can be applied to different antenna array designs and is successful in resolving beamforming optimization problems.

Authors

N Ghattas,Ahmed Magdy,Abdelazeem Abdelsalam

Journal

Suez Canal Engineering, Energy and Environmental Science

Published Date

2023/7/1

Mitigation of power quality problems using voltage-controlled based modified DSTATCOM

This paper proposes a modified distribution static compensator (DSTATCOM) with the voltage controller. The modified DSTATCOM is incorporated in a three-phase four-wire distribution network. The design criteria of the modified DSTATCOM parameters is introduced. The Hysteresis Voltage Controller (HVC) is used to drive the Voltage Source Converter (VSC) and its reference voltage signal is generated based on the Instantaneous Symmetrical Components Theory (ISCT) to provide the proper compensation to stabilise the system voltage, improve the power factor and mitigate the harmonic distortion. Matlab/Simulink software is used to verify the performance of the modified DSTATCOM with the used controller under different load types and supply voltage conditions. The control algorithm ensures that the bus voltage is maintained at its rated value during different connected loads and supply conditions. Also, it …

Authors

Abdelazeem A Abdelsalam,MA Abdelmonaem Kabeel,Abdelhay A Sallam

Journal

Australian Journal of Electrical and Electronics Engineering

Published Date

2023/4/3

Modeling, simulation, and experimental validation of a novel MPPT for hybrid renewable sources integrated with UPQC: An application of jellyfish search optimizer

The next generation fully implantable pressure sensors are valuable for intracranial pressure (ICP) monitoring, particularly in the chronic conditions of hydrocephalus. However, the accuracy, particularly in terms of the sensor drift over long duration, is a key concern. An implantable pressure monitoring system will rely on a flexible thin-film membrane as part of the pressure sensor and will interfere with a corrosive fluid (saline/blood) at a temperature of approximately 37 . The physics of the underlying thin film (material aging, mechanical fatigue), independent of the surrounding medium, triggers drift in the long-term monitoring of ICP. Therefore, finite element modeling (FEM) of thin-film deflection and fatigue life are essential. Although the FEM provides a theoretical view of the underlying issue, it is also necessary to validate the accuracy of the model. In this paper, we present both the numerical modeling …

Authors

Nireekshan Kumar Sodavaram,Daniel McCormick,Fakhrul Alam,Johan Potgieter,David M Budgett,Khalid Mahmood Arif

Journal

Microsystem Technologies

Published Date

2019/9/1

Optimal Unit Generation With Renewable Energy Resources

Unit Commitment is a optimization problem utilized in power system operation planning. The primary objective of unit commitment (UC) is achieve an optimal commitment plan of the generators for predicted demand and spinning reserve. The Salp Swarm Algorithm (SSA), a metaheuristic algorithm, is inspired by the swarming behavior of salps in the ocean. In this paper, The Salp Swarm optimization algorithm is used to solve the thermal unit commitment problem based on the IEEE 30 Bus system’s parameters. The SSA algorithm is used to improve the system’s initial randomness and help in effective convergence towards the optimum. To verify the effectiveness of the suggested system, the outcomes are compared to those of other algorithms, such as the Genetic Algorithm (GA),Modified Imperialistic Competitive Algorithm (MICA), and Particle Swarm Optimization (PSO). The UC problem is formulated under …

Authors

Amr A Amr,Eyad S Oda,Abdelazeem A Abdelsalam,Ahmed A Salem

Published Date

2023/12/19

Spectrum Recovery Improvement in Cognitive Radio Using Grey Wolf Optimizer

By using spectrum gaps caused by the underuse of frequency spectrum, cognitive radio is one of the most promising methods to enable opportunistic spectrum access for secondary users. In order to prevent interference with primary users, a cognitive radio unit must frequently sense the spectrum. Wideband spectrum sensing techniques that use compression are gaining popularity because they eliminate the need for high-rate analog-to-digital converters, which in turn reduces the complexity and power consumption of the cognitive radio. The Grey Wolf Optimizer is one of the most recent optimization techniques, that is capable of resolving the compressive spectrum recovery technique’s optimization issue. By comparing the effectiveness of algorithms for detecting the spectrum, the simulation results in this study have shown that the grey wolf optimizer algorithm performed better than basis pursuit denoising approach.

Authors

Gehan Gamal,Mohamed F Abdelkader,Abdelazeem A Abdelsalam,Ahmed Magdy

Published Date

2023/3/1

Planar Antenna Arrays Beamforming Using Various optimization algorithms

Due to the importance of beamforming in improving the communication systems performance, this paper presents a novel study of beamforming of planar antenna arrays (PAAs) utilizing the Improved Grey Wolf Optimization (I-GWO) algorithm with the goal of minimizing the peak sidelobe level (PSLL). It is very important to suppress the sidelobe level (SLL) because it minimizes interference and received noise. A two-dimensional (2D) optimization method is presented to find the optimal amplitude excitations and element placements in PAA. The effectiveness of beamforming optimization using the I-GWO is illustrated by comparing it with different metaheuristic algorithms such as Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), Hybrid Particle Swarm Optimization with Gravitational Search Algorithm (PSOGSA), Runge Kutta Optimizer (RUN), Slime Mould Algorithm (SMA), Harris Hawks …

Authors

Nancy Ghattas,Atef M Ghuniem,Abdelazeem A Abdelsalam,Ahmed Magdy

Journal

IEEE Access

Published Date

2023/7/5

Effect of Magnetic Saturation and Iron Losses on Performance of Series-Connected Wound-Rotor Induction Motors in Sub-Synchronous Mode

Series-connected wound-rotor induction motor (SCWRIM) provides an electromechanical torque in two modes of operation. In the first mode, the rotor speed is exactly equal double the synchronous speed. With absence of inherent starting torque capability, the rotor speed in this mode only depends on supply frequency and number of poles for stable range of operation. In the second mode of operation, SCWRIM rotates at slightly less than the synchronous speed depending on the connected machine load. Therefore, this operation is known as sub-synchronous mode. In this mode, the motor has the capability of self-starting, and it runs in a similar manner to that of the conventional wound rotor induction motor operation. The influence of magnetic saturation and iron losses on steady-state performance of SCWRIM in sub-synchronous mode is examined theoretically and experimentally in this paper. The motor …

Authors

Mohammed Bekhiet Elsayed,Essam M Rashad,Abdelazeem A Abdelsalam

Published Date

2023/2/19

An efficient compensation of modified DSTATCOM for improving microgrid operation

This paper proposes a design for a modified distribution static compensator (DSTATCOM) with a proposed current controller for microgrid (MG) applications. The modified DSTATCOM is incorporated in a three-phase four-wire network system to deal accurately at grid connected mode with balanced, unbalanced and excursion load for both nonlinear and inductive loads. Moreover, it handles the stability issues of the MG at fault caused islanding incidents. The design criteria of the modified DSTATCOM parameters is presented and discussed. The hysteresis current controller is introduced to drive the voltage source converter (VSC) and its reference voltage signal is generated based on the instantaneous symmetrical components theory (ISCT). Matlab/Simulink software is used to verify the performance of the modified DSTATCOM with the proposed controller under different load types and loading conditions for grid …

Authors

Abdelazeem A Abdelsalam,Sherif SM Ghoneim,Ahmed A Salem

Journal

Alexandria Engineering Journal

Published Date

2022/7/1

Overview of the orthogonal time-frequency space for high mobility communication systems

Known as a new promising waveform modulation technique, the orthogonal time-frequency space (OTFS) technique is considered a very important waveform modulation technique that modulates data in the delay-Doppler (DD) domain. The key difference between OTFS and the traditional multiplexing techniques is that it is two-dimensional modulation that converts between the time-frequency (TF) domain and delay-Doppler domain, these features enable dealing with the Doppler shift generated from high mobility objects which were ignored in the traditional modulation techniques such as orthogonal frequency division multiplexing (OFDM). The main objective of this survey is to provide an overview of this novel subject indicating its system model. Also, we review the main topics related to OTFS modulation as data detection techniques, channel estimation, MIMO, and multiuser systems. Then, the main research …

Authors

Ahmed Eldemiry,Abdelazim A Abdelsalam,Heba M Abdel-Atty,Ahmed Azouz,Walid Raslan

Published Date

2022/12/27

Detection of PQ Short Duration Variations using Wavelet Time Scattering with LSTM

In the electrical power system, the detection of power quality disturbances (PQDs) is a critical mission. In this paper, two-step methodology is used to solve PQDs detection; features extraction and classification. The features extraction step uses wavelet time scattering and the classification step uses the long short-term memory (LSTM) techniques. To assess the efficacy of the proposed approach, various simple PQ disturbances such as sag, swell, harmonics, and interruption, as well as complicated power quality events such as sag with harmonics and swell with harmonics, are produced using the MATLAB programming framework. A comparison using several methodologies is provided. The results demonstrate that wavelet scattering with LSTM can decrease classification computation complexity. Furthermore, it may significantly shorten classification time while assuring classification accuracy better than different …

Authors

Mohamed Ali,Abdelazeem A Abdelsalam,Eyad S Oda,Almoataz Y Abdelaziz

Published Date

2022/12/13

Unit Commitment in Presence of Renewable Energy using Rat and Seagull Optimization Algorithm

Unit Commitment (UC) is a complex engineering problem. The UC solution used by engineers and researchers to plan out power system operations. In planning phase, it is decided which generating units would work and when they would work, at each power station under different generational, environmental, and technical constraints. This paper presents two novel bio-inspired optimization algorithms called Rat Swarm Optimizer (RSO) and Seagull optimization algorithm (SOA) for solving the challenging unit commitment optimization problem on the parameters of the IEEE 30 Bus system. The inspiration of RSO is chasing and attacking behaviors of rats, whereas the idea of a seagull optimization algorithm is based on migration and attacking behaviors of a seagull in nature.The proposed solutions on the unit commitment problem are compared with the previously proposed algorithm like Modified Imperialistic …

Authors

Eyad S Oda,Amr A Amr,Abdelazeem A Abdelsalam,Ahmed A Salem

Published Date

2022/12/13

Modeling and Performance Evaluation of a Grid-Connected Photovoltaic/Wind Hybrid Power System

Using renewable energy technologies in Egypt returned to the abundance of solar irradiation and wind speed. The purpose of this paper is to investigate the dynamic modeling and performance analysis of grid-connected hybrid renewable energy system (HRES). This system consists of constant speed wind turbine (CSWT) and photovoltaic (PV) station integrated with the utility grid. Maximum power point tracking (MPPT) technique and unity power factor operation are obtained in PV station by using a controlled power converter. The performance of HRES is examined using MATLAB Simulink software. Moreover, the system is validated through realistic data based on actual wind speed and solar radiation measurements for Zafarana, Suez Gulf region, Egypt. The simulated results prove the effectiveness of the controlled converter for capturing maximum energy along with working with unity power factor. Depending …

Authors

Ahmed A Salem,Kholoud Mokhtar,Abdelazeem A Abdelsalam

Published Date

2022/12/13

An efficient fault ride through capability for integrating inverter-based DG with microgrid to enhance the transient response

Microgrid (MG) is not only undergoing rapid upsurge and an effective combination of distributed generations (DGs)-based renewable energy sources, but it also fulfills a significant function in upgrading grid infrastructure. It is necessary for DGs, during and after any disturbances in the voltage, to stay connected in order to enhance the voltage, most importantly guaranteeing the stability of the power system. In this present context, the behavior of the distributed generations control systems has a significant impact on the MG performance. This paper investigates the effect of different control schemes of the inverter-based DG unit on the stable operation of MG after the occurrence of faults that lead to islanding events. In this paper, an appropriate control strategy is proposed to enhance the fault ride-through of MG. Within the scope of the study, the MG consists of a conventional diesel generator and an inverter-based DG …

Authors

Ali H Kasem Alaboudy,Ahmed A Salem,Abdelazeem A Abdelsalam

Journal

Electrical Engineering

Published Date

2022/10

Energy saving and management of water pumping networks

The main consumption of energy in water systems is the pumps. Due to the different tariff of energy consumption during the one day, the operation of these pumps should be controlled to minimize their consumption and consequently decrease the cost of operation. This paper utilizes an optimization algorithm to control the on/off operation of water pumps to minimize the cost of energy consumption and number of pump switching of water networks. This objective function is subjected to some optimization and hydraulic constraints such as the tanks upper and lower limits, and water network pressure limit. The proposed methodology is an iterative combination process between an optimization algorithm and EPANet hydraulic simulator where optimization algorithm generates the schedules and the hydraulic simulator is used to check the feasibility of these schedules. The suggested optimization method is the artificial …

Authors

Abdelazeem A Abdelsalam,Hossam A Gabbar

Journal

Heliyon

Published Date

2021/8/1

A generalized approach for power quality disturbances recognition based on Kalman filter

This paper presents a new automatic detection and classification approach of power quality (PQ) problems using Kalman filter. Kalman filter is used as an estimator to calculate the fundamental frequency and harmonic components amplitudes of the voltage or current signals. Then the instantaneous total harmonic distortion (iTHD) and the energy are calculated. For each half cycle of the processed signal, five decision quantities are calculated based on iTHD and energy and these quantities are the three consecutive maximum values of iTHD, standard deviation and energy difference between distorted signal and its fundamental frequency component. Decision rules based on these decision quantities are applied to identify and classify the PQ events in this captured signal. The proposed approach is tested on single and combined PQ events that are generated using the MATLAB with the help of mathematical …

Authors

Abdelazeem A Abdelsalam,Almoataz Y Abdelaziz,Mohamed Z Kamh

Journal

IEEE Access

Published Date

2021/6/29

An Analytical Investigation Review of DG Impacts on the Relaying Performance in Distrbution Networks

Installing distributed generators (DGs) to the distribution networks has strongly effects on the selectivity of the conventional protection system. Miscoordination, improper operation, or blinding of overcurrent relays would be expected according to the DGs penetration, DGs location and type. In this paper, an analytical fault study on the simple radial distribution network is carried out to test the selectivity of the conventional protection system and impacts of connecting DGs with different penetration levels at different locations on the network are also tested. MATLAB/Simulink package is used to model the network and simulate the test case studies. With different types and levels of penetration, emphasis on changing the location of DGs in relation to the relaying point and its proximity to the fault point is highlighted. Despite the obvious effects of DGs connection on the performance of the protective system, these effects are …

Authors

Naema M Mansour,Eyad S Oda,Emad Eldeen Omran,Abdelazeem A Abdelsalam

Published Date

2021/12/14

New Analysis Framework of Lyapunov-based Stability for Hybrid Wind Farm Equipped with FRT: A Case Study of Egyptian Grid Code

Due to the continuous increase of fuel prices and pollutions, the use of renewable energy especially wind has increased. In developing countries including Egypt, squirrel cage induction generator wind turbine (SCIG- WT) represents a considerable proportion of the total capacity of installed wind farm due to its qualities such as low cost and easy availability. However, its operation has a substantial effect on system stability. In contrast, doubly fed induction generator wind turbine (DFIG-WT) is broadly penetrated the electrical grid as it keeps the system stable. In this work, the ability of WT generators to continue operating rather than tripping at the time of faults is analyzed for proper stability investigation. The detailed control and stability of a grid-connected large scale SCIG and DFIG of Zafarana, Suez Gulf area, Egypt are discussed whereas the parameters of fault ride through (FRT) curve of Egypt grid code is utilized …

Authors

Ahmed A Salem,Azza A Eldesouky,Ahmed A Farahat,Abdelazeem A Abdelsalam

Journal

IEEE Access

Published Date

2021/6/2

Modeling and Performance Analysis of VSC-HVDC Transmission System with DC Side Line to Line Fault

Voltage source converter (VSC) based HVDC systems are concerned with facing different grid faults. These faults have destructive influence on the continuity of the electric power to the grid. The most familiar types of faults in HVDC are DC pole to pole and DC pole to ground faults. VSC-HVDC system must have the capability to disconnect the fault and to restore the system default values after fault clearance to increase the system dependability. In This paper, modeling of VSC-HVDC and performance analysis after the occurrence of transient fault is presented, detailed mathematical and theoretical approaches will be studied for the stages of the fault. In order to verify this task an extensive simulation results based on MATLAB- Simulink software have been conducted.

Authors

Ahmed A Salem,Ahmed M Ewada,Abdelazeem A Abdelsalam

Published Date

2021/12/14

Effect of Magnetic Saturation on Performance of Series-Connected Wound-Rotor Induction Motors in Super-Synchronous Mode

Series-connected wound-rotor induction motor (SCWRIM) is capable of operation at two modes according to the rotor speed. In the first mode, the motor has a general behavior similar to that of the conventional induction motor, including running at a speed less than synchronous speed. So, it is called sub-synchronous mode. The second mode is called super-synchronous mode, in which the speed reaches twice the synchronous speed with the absence of inherent starting torque capability. In both modes, the stator and rotor windings of a slip-ring induction machine are connected in series with a proper phase sequence. This paper presents theoretical and experimental investigation of magnetic saturation effect on the steady state performance of SCWRIM in super-synchronous mode. The effect of saturation on both direct and quadrature axes inductances are considered. The motor starting to that mode has been …

Authors

Mohammed Bekhiet Elsayed,Abdelazeem A Abdelsalam,Essam M Rashad

Published Date

2021/12/14

Microgrids islanding detection using Fourier transform and machine learning algorithm

This paper proposes a methodology to identify the decision of microgrid islanding. This methodology is two stages: feature extraction and classification stages. In the feature extraction, instantaneous three phase voltage and current measurements are processed using discrete Fourier transform and the symmetrical components of voltage, current and the voltage times current of the second order harmonic are extracted. These nine extracted features are inputs to the second stage that is based on a machine learning algorithm called K-nearest neighbor technique (KNN). In KNN, a small part of the processed data is trained to get the predictor model that is used to the residual data to identify the islanding decision. A MATLAB simulation model is implemented to simulate the intentional and unintentional islanding events and a lab experiment is set up to make these islanding events practically. In addition, the impact of …

Authors

Ahmed Ezzat,Basem E Elnaghi,Abdelazeem A Abdelsalam

Journal

Electric Power Systems Research

Published Date

2021/5/1

AI-Based PMUs Allocation for Protecting Transmission Lines

Transmission networks are granted with solutions more advanced than distribution networks. Improved monitoring tools for transmission and distribution networks is conceived through the use of modern measurement techniques and the creation of new data collection algorithms. Phasor Measurement Units (PMUs) represent the modern measurement devices that are used to enhance the monitoring of transmission networks. PMUs provide measurements for voltage magnitude and phase angle with a high sampling frequency and these measurements are synchronized with other measurements using time stamps created by the Global Positioning System (GPS). Connecting the PMUs together constructs a WAMS that represents the modern structure to migrate the power grid from conventional to smart. The best situation to monitor all power system buses and branches is to allocate a PMU at each bus but the cost of …

Authors

Abdelazeem A Abdelsalam,Karim M Hassanin

Published Date

2021/10/21

Categorisation of power quality problems using long short‐term memory networks

Recognition of power quality (PQ) troubles is a critical task in the electrical power system. All previous works solve this problem using two‐step methodology: Feature extraction and classification steps with each step using its own techniques, and this consumes a computation time. The purpose of this study is to utilise a novel artificial intelligence (AI) technique for recognition of PQ events. The proposed AI technique is the long short‐term memory (LSTM) network, which detects and classifies the PQ events in one step. This technique extracts amplitude, disturbance duration and total harmonic distortion from the captured waveform, and the LSTM uses its own rules to classify the PQ events. Many simple PQ events such as interruption, sag, flicker, swell and surge or complex PQ events such as sag plus harmonics and swell plus harmonics are generated using MATLAB programming environment to evaluate the …

Authors

Abdelazeem A Abdelsalam,Ahmed M Hassanin,Hany M Hasanien

Journal

IET Generation, Transmission & Distribution

Published Date

2021/5

Optimal PMUs placement considering ZIBs and single line and PMUs outages

AIMS Energy, 8 (1): 122–141. DOI: 10.3934/energy. 2020.1. 122 Received: 31 October 2019 Accepted: 19 February 2020 Published: 02 March 2020 http://www. aimspress. com/journal/energy

Authors

Abdelazeem A Abdelsalam,Karim M Hassanin,Almoataz Y Abdelaziz,Hassan Haes Alhelou

Journal

AIMS Energy

Published Date

2020/2/19

Energy—Water nexus: Integration, monitoring, KPIS tools and research vision

The relationship between water and energy is a strong one characterized as having integration and coupling as two important features. While energy is responsible for delivering water to the end-users, it needs energy in order to be generated, and water. In this paper, a thorough review is presented regarding the different relationships between water and energy in terms of (i) the significance of the close relationship between water and energy by means of water/energy generation and consumption. Water consumption, water cooling and heating must be taken into account in order to avoid the obstacles related to future use of water for energy generation; (ii) the measuring and monitoring technologies for the energy-water nexus, focusing attention on the variables that are interrelated in the water and energy sectors. In addition, the consequences of finding several parameters, unknown variables and unclear dependencies in measuring of energy usage in the applications of water usage should also be taken into account. Innovative developments including nanotechnology, biotechnology, and wireless networks, as sensor technologies, may resolve the challenges of sensing; (iii) the different key performance indication tools for assessing and quantifying this nexus by analyzing and categorizing recent case studies of the water energy nexus and applicable evaluation methods; and (iv) the different research dimensions conducted on this nexus. Hopefully, this review will contribute to the development of this nexus adding value to the field while reducing duplication efforts.

Authors

Hossam A Gabbar,Abdelazeem A Abdelsalam

Published Date

2020/12/18

Utilizing Neural Networks for Stocks Prices Prediction in Stocks Markets

The neural networks, AI applications, are effective prediction methods. Therefore, in the current research a prediction system was proposed using these neural networks. It studied the technical share indices, viewing price not only as a function of time, but also as a function depending on several indices among which were the opening and closing, top and bottom trading session prices or trading volume. The above technical indices of a number of Egyptian stock market shares during the period from 2007 to 2017, which can be used for training the proposed system, were collected and used as follows: The data were divided into two sets. The first one contained 67% of the total data and was used for training neural networks and the second contained 33% and was used for testing the proposed system. The training set was segmented into subsets used for training a number of neural networks. The output of such networks was used for training another network hierarchically. The system was, then, tested using the rest of the data.

Authors

Ahmed S Mahedy,Abdelazeem A Abdelsalam,Reham H Mohamed,Ibrahim F El-Nahry

Journal

International Journal of Information Technology and Computer Science

Published Date

2020/1

Islanding Detection of Microgrid Incorporating Inverter Based DGs Using Long Short-Term Memory Network

This paper proposes a new approach for rapid detection of islanding events in a microgrid (MG). The proposed approach is a two-step procedure in which the first step is to extract some valuable features from the voltage and current signals. Such signals are analyzed for finding the second harmonic by the discrete Fourier transform (DFT). Then, the symmetrical components of this second harmonic are calculated for voltage and current, resulting in six features; positive, negative and zero sequence components. In the second step, a novel deep learning classifier based on long short-term memory (LSTM) network to identify the islanding decision is applied. The LSTM is a new artificial intelligence technique which is a distinctive pattern of recurrent neural networks. To evaluate the performance of the proposed approach, simulated and practical voltage and current signals are used. The simulated signals are …

Authors

Abdelazeem A Abdelsalam,Ahmed A Salem,Eyad S Oda,Azza A Eldesouky

Journal

IEEE ACCESS

Published Date

2020/6/8

Energy Management of Microgrids Using Load Shifting and Multi-agent System

The demand-side management (DSM) has a great significance as it covers economical activities through decreasing demand of electricity during high consumption hours. Meanwhile, the multi-agent system (MAS) is a computational intelligence technique that has been applied to reduce the overall consumers’ cost as well as total loads. This paper proposes a hybrid technique based on DSM and MAS to manage the energy in residential, commercial, and industrial microgrids. First, the DSM mechanism based on load shifting technique for managing and coordinating load demand is implemented. Then, according to the resulting scheduled load curve, the MAS is utilized in order to optimally coordinate different renewable sources to cover the demand and allowable energy to exchange between the main grid and microgrids. The problem is formulated as an optimization problem and solved by a powerful Antlion …

Authors

Abdelazeem A Abdelsalam,Honey A Zedan,Azza A ElDesouky

Journal

Journal of Control, Automation and Electrical Systems

Published Date

2020/4/23

Minimizing the Cost of Wide Area Monitoring Systems by Optimal Allocation of PMUs and Their Communication Infrastructure

Power system utilities need to replace the conventional measuring and monitoring devices to the phasor measurement units (PMUs)-based wide area monitoring system (WAMS) to be able to move from conventional to smart grids. The challenge of this action is the cost of WAMS. Many researchers have tried to deal with this challenge by optimal allocation of PMUs to find the minimum number that fulfils the full observability of the system. The WAMS is not only PMUs but also it comprises communication infrastructures (CI) such as communication links, switches and phasor data concentrators. This paper proposes an optimization algorithm to solve the problem based on two strategies. In the first strategy, the objective function is to find the minimum number of PMUs, i.e. conventional objective function. While in the second strategy, the objective function is the minimum cost of the WAMS, i.e. cost of PMUs and their CI …

Authors

Abdelazeem A Abdelsalam,Almoataz Y Abdelaziz

Journal

Arabian Journal for Science and Engineering

Published Date

2020/4/20

Optimal Distributed Energy Resources Allocation for Enriching Reliability and Economic Benefits Using Sine-Cosine Algorithm

This paper presents an optimization algorithm called sine-cosine algorithm (SCA) for optimal distributed energy resources (DERs) allocation in various configurations of radial distribution networks. This study is demonstrated in two statuses to find the optimal locations and sizes of DERs to be installed on the distribution system. First status; the most candidate locations for connecting DERs are suggested by using the loss sensitivity factor theory and the proposed SCA is applied to select the optimal capacities of DERs. Second status; the SCA is used to determine both the optimal locations and sizes of DERs. The positive impact of DERs on distribution systems reliability has been investigated in addition to the system power losses and bus voltages. The fitness function is to maximize the savings produced by not only power losses reduction but also reliability enhancement. The proposed algorithm is applied …

Authors

Abdelazeem A Abdelsalam

Journal

Technology and Economics of Smart Grids and Sustainable Energy

Published Date

2020/3

Abdelazeem A. Abdelsalam FAQs

What is Abdelazeem A. Abdelsalam's h-index at Suez Canal University?

The h-index of Abdelazeem A. Abdelsalam has been 15 since 2020 and 16 in total.

What are Abdelazeem A. Abdelsalam's top articles?

The articles with the titles of

Novel Orthogonal Time Frequency Space Based on Universal Filter Multi Carrier for 6G Wireless Networks

Detection of PQ Short Duration Variations using Stockwell Transform with LSTM

Antenna Array Pattern Synthesis for 5G Wireless Communications

Mitigation of power quality problems using voltage-controlled based modified DSTATCOM

Modeling, simulation, and experimental validation of a novel MPPT for hybrid renewable sources integrated with UPQC: An application of jellyfish search optimizer

Optimal Unit Generation With Renewable Energy Resources

Spectrum Recovery Improvement in Cognitive Radio Using Grey Wolf Optimizer

Planar Antenna Arrays Beamforming Using Various optimization algorithms

...

are the top articles of Abdelazeem A. Abdelsalam at Suez Canal University.

What are Abdelazeem A. Abdelsalam's research interests?

The research interests of Abdelazeem A. Abdelsalam are: Power Quality, FACTS, Kalman Filter, Filters, Distributed Generators

What is Abdelazeem A. Abdelsalam's total number of citations?

Abdelazeem A. Abdelsalam has 1,059 citations in total.

What are the co-authors of Abdelazeem A. Abdelsalam?

The co-authors of Abdelazeem A. Abdelsalam are Magdi Saadawi, Abdelhay Sallam, Hossam Eldin Abdallah Talaat, Ahmed M. Othman, Ahmed A.Salem.

    Co-Authors

    H-index: 20
    Magdi Saadawi

    Magdi Saadawi

    Mansoura University

    H-index: 19
    Abdelhay Sallam

    Abdelhay Sallam

    Port Said University

    H-index: 16
    Hossam Eldin Abdallah Talaat

    Hossam Eldin Abdallah Talaat

    Future University

    H-index: 13
    Ahmed M. Othman

    Ahmed M. Othman

    Zagazig University

    H-index: 8
    Ahmed A.Salem

    Ahmed A.Salem

    Suez Canal University

    academic-engine

    Useful Links