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Prof. Almoataz Abdelaziz
Professor, Electrical Power and Machines Dept., Faculty of Engineering, Ain Shams University

Basic Info


Research Keywords & Expertise

1 Renewable and Sustainable Energy
1 Electrical Power Engineering
1 Power system planning
1 Electrical power distribution and utilization
1 Renewable & Clean Energy Resources

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Short Biography

Almoataz Y. Abdelaziz (SM’15) received the B.Sc. and M.Sc. degrees in electrical engineering from Ain Shams University, Cairo, Egypt, in 1985 and 1990, respectively, and the Ph.D. degree in electrical engineering according to the channel system between Ain Shams University, Egypt, and Brunel University, U.K., in 1996. He has been a Professor of electrical power engineering with Ain Shams University, since 2007. He was the Vice Dean for Education and Students Affairs in Faculty of Engineering and Technology, Future University in Egypt from 2018-2019. He has authored or coauthored more than 450 refereed journal and conference papers, 30 book chapters, and five edited books with Elsevier and Springer. In addition, he has supervised 80 Master’s and 35 Ph.D. theses. His research areas include the applications of artificial intelligence, evolutionary and heuristic optimization techniques to power system planning, operation, and control. Dr. Abdelaziz is a senior member in IEEE and member in the Egyptian Sub-Committees of IEC and CIGRE’. He has been awarded many prizes for distinct researches and for international publishing from Ain Shams University and Future University in Egypt. He is the chairman of the IEEE Education Society chapter in Egypt. He is an editor of Electric Power Components and Systems journal, an Editorial Board member, an Editor, an Associate Editor, and an Editorial Advisory Board member for many international journals.

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Journal article
Published: 30 June 2021 in Ain Shams Engineering Journal
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Load frequency control (LFC) serves a critical purpose in modern power systems, controlling system frequency and tie-line power flow. Nowadays, the power systems are integrated with an effective contribution of renewable energy sources (RESs). This paper broaches a modern power grid paradigm including conventional generators considering non-linearities, in addition to RESs and energy storage (ES) units for the study of LFC issue. Three forms of RESs are involved in the study, which are wind, photovoltaic and solar thermal. Besides, the system paradigm contains two types of ES units which are superconducting magnetic energy storage (SMES) and battery energy storage (BES). The controllers used for the system model analysis are proportional-integral-derivative (PID) controllers. The optimum design of the controller is established using a novel optimization approach which is a Marine Predators Algorithm (MPA). To certify the realistic credibility of the proposed algorithm, real data are imported to the RESs. The efficacy of the applied MPA-tuned controller is contrasted with that tuned by other competing evolutionary algorithms. The simulation outcomes demonstrate the credibility of the suggested control scheme. Also, the results ensure the role of ES units in enhancing the time-domain transient responses. The simulation findings are acquired through MATLAB framework.

ACS Style

Mohamed A. Sobhy; Almoataz Y. Abdelaziz; Hany M. Hasanien; Mohamed Ezzat. Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units. Ain Shams Engineering Journal 2021, 1 .

AMA Style

Mohamed A. Sobhy, Almoataz Y. Abdelaziz, Hany M. Hasanien, Mohamed Ezzat. Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units. Ain Shams Engineering Journal. 2021; ():1.

Chicago/Turabian Style

Mohamed A. Sobhy; Almoataz Y. Abdelaziz; Hany M. Hasanien; Mohamed Ezzat. 2021. "Marine predators algorithm for load frequency control of modern interconnected power systems including renewable energy sources and energy storage units." Ain Shams Engineering Journal , no. : 1.

Journal article
Published: 29 June 2021 in IEEE Access
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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 models that are conformity with standard IEEE-1159. The performance is assessed using more than 100 dataset of every PQ event and the results show that the accuracy is 100 and 98.8 for noiseless and high-level of noise, respectively. In addition, the proposed approach performance is validated through comparisons with other classification. Several practical PQ events are generated by lab experiments to validate the proposed approach. The simulation and experimental results show that the proposed approach is efficient and robust and can be implemented to design PQ monitoring device.

ACS Style

Abdelazeem A. Abdelsalam; Almoataz Y. Abdelaziz; Mohamed Z. Kamh. A Generalized Approach for Power Quality Disturbances Recognition Based on Kalman Filter. IEEE Access 2021, 9, 1 -1.

AMA Style

Abdelazeem A. Abdelsalam, Almoataz Y. Abdelaziz, Mohamed Z. Kamh. A Generalized Approach for Power Quality Disturbances Recognition Based on Kalman Filter. IEEE Access. 2021; 9 ():1-1.

Chicago/Turabian Style

Abdelazeem A. Abdelsalam; Almoataz Y. Abdelaziz; Mohamed Z. Kamh. 2021. "A Generalized Approach for Power Quality Disturbances Recognition Based on Kalman Filter." IEEE Access 9, no. : 1-1.

Journal article
Published: 27 May 2021 in International Journal of Emerging Electric Power Systems
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Renewable energy growing is considered one of the main sources of the system harmonics. Thus, in this paper, Total Harmonic Distortion (THD) is reduced by using flexible AC transmission systems (FACTs). Static Compensator (STATCOM) and Static Synchronous Series Compensator (SSSC) are used and compared against basic harmonics filter. Cases studied are as follows: First, the system is studied without any harmonic limitation. Then each type of the chosen two types of (FACTs) is connected to the system. Finally, the harmonics filter is used as a reference to verify the (FACTs) effectiveness. MATLAB/SIMULINK is the tool to examine and simulate the system.

ACS Style

Mohamed Hamdy; Almoataz Y. Abdelaziz; Papia Ray; Mahmoud A. Attia. Comparison between flexible AC transmission systems (FACTs) and filters regarding renewable energy systems harmonics mitigation. International Journal of Emerging Electric Power Systems 2021, 1 .

AMA Style

Mohamed Hamdy, Almoataz Y. Abdelaziz, Papia Ray, Mahmoud A. Attia. Comparison between flexible AC transmission systems (FACTs) and filters regarding renewable energy systems harmonics mitigation. International Journal of Emerging Electric Power Systems. 2021; ():1.

Chicago/Turabian Style

Mohamed Hamdy; Almoataz Y. Abdelaziz; Papia Ray; Mahmoud A. Attia. 2021. "Comparison between flexible AC transmission systems (FACTs) and filters regarding renewable energy systems harmonics mitigation." International Journal of Emerging Electric Power Systems , no. : 1.

Journal article
Published: 17 May 2021 in IEEE Access
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This paper introduces the application of a newly developed heuristic nature-inspired optimization technique, viz, tuned Marine Predator Algorithm (MPA), to solve the optimal power flow (OPF) problem of multi-regional systems. The paper proposes MPA parameters’ tuning to enhance the algorithm performance. The paper takes into account the variability of different types of renewable energy resources (RERs) and loads. Two modeling approaches are presented: holistic (multi-regions are modeled as one large network) and inter-bounded (modeling the regional interfaces). The MPA is applied to the IEEE-48 bus connected system, and the results are compared with another well-established heuristic algorithm, namely the Genetic Algorithm (GA). The results demonstrate the validation, applicability and effectiveness of using the MPA for solving multi-region OPF problem considering renewable energy sources and load variability.

ACS Style

Rania A. Swief; Nada Mamdouh Hassan; Hany M. Hasanien; Almoataz Youssef Abdelaziz; Mohamed Z. Kamh. Multi-Regional Optimal Power Flow Using Marine Predators Algorithm Considering Load and Generation Variability. IEEE Access 2021, 9, 74600 -74613.

AMA Style

Rania A. Swief, Nada Mamdouh Hassan, Hany M. Hasanien, Almoataz Youssef Abdelaziz, Mohamed Z. Kamh. Multi-Regional Optimal Power Flow Using Marine Predators Algorithm Considering Load and Generation Variability. IEEE Access. 2021; 9 ():74600-74613.

Chicago/Turabian Style

Rania A. Swief; Nada Mamdouh Hassan; Hany M. Hasanien; Almoataz Youssef Abdelaziz; Mohamed Z. Kamh. 2021. "Multi-Regional Optimal Power Flow Using Marine Predators Algorithm Considering Load and Generation Variability." IEEE Access 9, no. : 74600-74613.

Research article
Published: 22 April 2021 in Electric Power Components and Systems
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In this work, a digital fault locator has been designed using Arduino for bipolar VSC–HVDC transmission lines based on the ratio of voltage to current signals from source end. Current and voltage signals of only rectifier end have been processed with discrete wavelet transform using DB-4 as the mother wavelet. After the signals are decomposed using wavelet up to level 4, approximate coefficients are taken. Standard deviation is then calculated and given as input to the fault locator designed in Arduino. Fault location logic has been designed in Arduino using the input features. Various fault cases are tested using proposed fault locator to check the effectiveness of the method. Percentage error in fault location estimation is within 1%. Some of the advantages of the proposed digital fault locator are no requirement of communication link, reaches setting is up to 99.8% of line length, percentage error is within 1%, and lower implementation cost. Hence the proposed digital fault locator can be implemented is a real power system effectively.

ACS Style

Aleena Swetapadma; Shobha Agarwal; Ashish Ranjan; Almoataz Y. Abdelaziz. A Novel Fault Distance Estimation Method for Voltage Source Converter-Based HVDC Transmission Lines. Electric Power Components and Systems 2021, 1 -17.

AMA Style

Aleena Swetapadma, Shobha Agarwal, Ashish Ranjan, Almoataz Y. Abdelaziz. A Novel Fault Distance Estimation Method for Voltage Source Converter-Based HVDC Transmission Lines. Electric Power Components and Systems. 2021; ():1-17.

Chicago/Turabian Style

Aleena Swetapadma; Shobha Agarwal; Ashish Ranjan; Almoataz Y. Abdelaziz. 2021. "A Novel Fault Distance Estimation Method for Voltage Source Converter-Based HVDC Transmission Lines." Electric Power Components and Systems , no. : 1-17.

Communication
Published: 24 March 2021 in Sensors
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In the last few decades, photovoltaics have contributed deeply to electric power networks due to their economic and technical benefits. Typically, photovoltaic systems are widely used and implemented in many fields like electric vehicles, homes, and satellites. One of the biggest problems that face the relatability and stability of the electrical power system is the loss of one of the photovoltaic modules. In other words, fault detection methods designed for photovoltaic systems are required to not only diagnose but also clear such undesirable faults to improve the reliability and efficiency of solar farms. Accordingly, the loss of any module leads to a decrease in the efficiency of the overall system. To avoid this issue, this paper proposes an optimum solution for fault finding, tracking, and clearing in an effective manner. Specifically, this proposed approach is done by developing one of the most promising techniques of artificial intelligence called the adaptive neuro-fuzzy inference system. The proposed fault detection approach is based on associating the actual measured values of current and voltage with respect to the trained historical values for this parameter while considering the ambient changes in conditions including irradiation and temperature. Two adaptive neuro-fuzzy inference system-based controllers are proposed: (1) the first one is utilized to detect the faulted string and (2) the other one is utilized for detecting the exact faulted group in the photovoltaic array. The utilized model was installed using a configuration of 4 × 4 photovoltaic arrays that are connected through several switches, besides four ammeters and four voltmeters. This study is implemented using MATLAB/Simulink and the simulation results are presented to show the validity of the proposed technique. The simulation results demonstrate the innovation of this study while proving the effective and high performance of the proposed adaptive neuro-fuzzy inference system-based approach in fault tracking, detection, clearing, and rearrangement for practical photovoltaic systems.

ACS Style

Ahmed Bendary; AlMoataz Abdelaziz; Mohamed Ismail; Karar Mahmoud; Matti Lehtonen; Mohamed Darwish. Proposed ANFIS Based Approach for Fault Tracking, Detection, Clearing and Rearrangement for Photovoltaic System. Sensors 2021, 21, 2269 .

AMA Style

Ahmed Bendary, AlMoataz Abdelaziz, Mohamed Ismail, Karar Mahmoud, Matti Lehtonen, Mohamed Darwish. Proposed ANFIS Based Approach for Fault Tracking, Detection, Clearing and Rearrangement for Photovoltaic System. Sensors. 2021; 21 (7):2269.

Chicago/Turabian Style

Ahmed Bendary; AlMoataz Abdelaziz; Mohamed Ismail; Karar Mahmoud; Matti Lehtonen; Mohamed Darwish. 2021. "Proposed ANFIS Based Approach for Fault Tracking, Detection, Clearing and Rearrangement for Photovoltaic System." Sensors 21, no. 7: 2269.

Journal article
Published: 24 December 2020 in Mathematics
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Renewable energy integration has been recently promoted by many countries as a cleaner alternative to fossil fuels. In many research works, the optimal allocation of distributed generations (DGs) has been modeled mathematically as a DG injecting power without considering its intermittent nature. In this work, a novel probabilistic bilevel multi-objective nonlinear programming optimization problem is formulated to maximize the penetration of renewable distributed generations via distribution network reconfiguration while ensuring the thermal line and voltage limits. Moreover, solar, wind, and load uncertainties are considered in this paper to provide a more realistic mathematical programming model for the optimization problem under study. Case studies are conducted on the 16-, 59-, 69-, 83-, 415-, and 880-node distribution networks, where the 59- and 83-node distribution networks are real distribution networks in Cairo and Taiwan, respectively. The obtained results validate the effectiveness of the proposed optimization approach in maximizing the hosting capacity of DGs and power loss reduction by greater than 17% and 74%, respectively, for the studied distribution networks.

ACS Style

Ziad M. Ali; Ibrahim Mohamed Diaaeldin; Shady H. E. Abdel Aleem; Ahmed El-Rafei; Almoataz Y. Abdelaziz; Francisco Jurado. Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty. Mathematics 2020, 9, 26 .

AMA Style

Ziad M. Ali, Ibrahim Mohamed Diaaeldin, Shady H. E. Abdel Aleem, Ahmed El-Rafei, Almoataz Y. Abdelaziz, Francisco Jurado. Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty. Mathematics. 2020; 9 (1):26.

Chicago/Turabian Style

Ziad M. Ali; Ibrahim Mohamed Diaaeldin; Shady H. E. Abdel Aleem; Ahmed El-Rafei; Almoataz Y. Abdelaziz; Francisco Jurado. 2020. "Scenario-Based Network Reconfiguration and Renewable Energy Resources Integration in Large-Scale Distribution Systems Considering Parameters Uncertainty." Mathematics 9, no. 1: 26.

Research article
Published: 26 November 2020 in International Transactions on Electrical Energy Systems
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Zero‐carbon multienergy sources (ZCESs) integration into a power system becomes mandatory to reduce energy production costs and fuel‐burning emissions. Although, the energy mix of ZCESs with high penetration levels arises at moderated frequency as well as voltage response deterioration of the interconnected power systems. These response deteriorations stem from the fluctuation nature of ZCESs. Therefore, the necessity for overcoming these performance degradations is not an option for power system planners and operators. Thanks to fractional order (FO) mathematics in conjunction with metaheuristic optimization algorithms (MOAs) as they can be employed to enhance the damping of ZCESs oscillations under energy mix uncertainties. Three‐area solar thermal‐wind‐hydro (STWH) power system, including system's uncertainties such as data telemetry delays and governor dead bandsand generation rate constraints, is considered to accomplish this study. The performance of STWH system equipped with FOPID‐based load frequency controllers tuned by various modern MOAs (FOPID‐based LFCs) has been compared to the classical PID‐LFC controllers governed by the same MOAs, to demonstrate the superior efficiency of the FOPID‐based LFCs. The efficacy of FOPID‐based LFCs and their effectiveness compared to the predecessors are verified during simulation results.

ACS Style

Mohamed Ahmed Ebrahim; Mohamed Becherif; Almoataz Y. Abdelaziz. PID‐ / FOPID ‐based frequency control of zero‐carbon multisources‐based interconnected power systems underderegulated scenarios. International Transactions on Electrical Energy Systems 2020, 31, 1 .

AMA Style

Mohamed Ahmed Ebrahim, Mohamed Becherif, Almoataz Y. Abdelaziz. PID‐ / FOPID ‐based frequency control of zero‐carbon multisources‐based interconnected power systems underderegulated scenarios. International Transactions on Electrical Energy Systems. 2020; 31 (2):1.

Chicago/Turabian Style

Mohamed Ahmed Ebrahim; Mohamed Becherif; Almoataz Y. Abdelaziz. 2020. "PID‐ / FOPID ‐based frequency control of zero‐carbon multisources‐based interconnected power systems underderegulated scenarios." International Transactions on Electrical Energy Systems 31, no. 2: 1.

Research article
Published: 07 November 2020 in Electric Power Components and Systems
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Future distribution systems can be seen with very high penetration of renewable energy sources (RESs) such as solar photovoltaics and wind turbines on account of diverse techno-economic and social concerns. The uncertainty and variability associated with these RESs along with the stochastic nature of load demand imposes real challenges to system operators. More realistic formulations and suitably tailored methodologies can coordinate well-known operational strategies to achieve optimum performance of distribution systems. This article presents a new methodology to optimally coordinate day-ahead scheduling of distributed resources (DRs) with distribution network reconfiguration (DNR). The scheduling problem optimizes economic operation by considering O&M charges of DRs, emission charges of micro turbines, and sale/purchase of electricity to the customers/grid whereas feeder power losses are minimized by solving DNR problem. Proposed methodology coordinates these two key strategies by coarse and fine tuning to optimize several techno-economic and social objectives while duly addressing more realistic scenario of distribution systems. Application results on a modified standard 33-bus distribution system demonstrate the effectiveness of the proposed methodology.

ACS Style

Neeraj Kanwar; Nikhil Gupta; Khaleequr Rehman Niazi; Anil Swarnkar; Almoataz Y. Abdelaziz. Day-Ahead Optimal Scheduling of Distributed Resources and Network Reconfiguration Under Uncertain Environment. Electric Power Components and Systems 2020, 48, 1945 -1954.

AMA Style

Neeraj Kanwar, Nikhil Gupta, Khaleequr Rehman Niazi, Anil Swarnkar, Almoataz Y. Abdelaziz. Day-Ahead Optimal Scheduling of Distributed Resources and Network Reconfiguration Under Uncertain Environment. Electric Power Components and Systems. 2020; 48 (18):1945-1954.

Chicago/Turabian Style

Neeraj Kanwar; Nikhil Gupta; Khaleequr Rehman Niazi; Anil Swarnkar; Almoataz Y. Abdelaziz. 2020. "Day-Ahead Optimal Scheduling of Distributed Resources and Network Reconfiguration Under Uncertain Environment." Electric Power Components and Systems 48, no. 18: 1945-1954.

Journal article
Published: 02 November 2020 in Applied Soft Computing
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It is imperative to distribution system operators to provide quantitative as well as qualitative power demand and satisfy consumers’ satisfaction. So, it is important to address one of the most promising combinatorial optimization problems for the optimal integration of power distribution network reconfiguration (PDNR) with distributed generations (DGs). In this regard, this paper proposes an improved equilibrium optimization algorithm (IEOA) combined with a proposed recycling strategy for configuring the power distribution networks with optimal allocation of multiple distributed generators. The recycling strategy is augmented to explore the solution space more effectively during iterations. The effectiveness of the proposed algorithm is checked on 23 standard benchmark functions. Simultaneous integration of PDNR and DG are carried out considering the 33 and 69-bus distribution test systems at three different load levels and its superiority is established. Verification of the proposed technique on large scale distribution system with a variety of control variables is introduced on a 137-bus large scale distribution system. These simulations lead to enhanced distribution system performance, quality and reliability. While, the integration represents a challenge for complexity and disability to achieve optimal solutions of the considered problem especially for multi-objective framework. To solve this challenge, a multi-objective function is developed considering total active power loss and overall voltage enhancement with respecting the system limitations. The proposed algorithm is contrasted with harmony search, genetic, refined genetic, fireworks, and firefly optimization algorithms. The obtained results confirm the effectiveness and robustness of the proposed technique compared with the competitive algorithms.

ACS Style

A.M. Shaheen; A.M. Elsayed; Ragab A. El-Sehiemy; Almoataz Y. Abdelaziz. Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems. Applied Soft Computing 2020, 98, 106867 .

AMA Style

A.M. Shaheen, A.M. Elsayed, Ragab A. El-Sehiemy, Almoataz Y. Abdelaziz. Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems. Applied Soft Computing. 2020; 98 ():106867.

Chicago/Turabian Style

A.M. Shaheen; A.M. Elsayed; Ragab A. El-Sehiemy; Almoataz Y. Abdelaziz. 2020. "Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems." Applied Soft Computing 98, no. : 106867.

Journal article
Published: 21 October 2020 in IEEE Access
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Microgrids (MGs) have been widely implemented as they increase the efficiency and resiliency of electrical networks. However, the uncertain nature of renewable energy resources (RERs) integrated into the MGs usually results in different technical problems. System stability, the most challenging problem, can be achieved via a robust power management strategy (PMS) of the MG. This paper introduces a PMS based on adaptive neuro fuzzy inference system (ANFIS) for AC MG consisting of a diesel generator (DG), a double fed induction generator (DFIG) driven by a wind turbine (WT) and a solar photovoltaic (PV) panel. The proposed strategy aims to achieve MG power balance, decrease DG fossil fuel to minimum consumption, keep the MG voltage stability and finally tracking the maximum power point (MPP) of each RER. Metaheuristic optimization techniques; including genetic algorithm (GA) and particle swarm optimization (PSO), are employed to train the ANFIS to accomplish the desired objectives and fulfill the generation/consumption balance. The proposed AC MG with the PMS is simulated by the MATLAB/Simulink software in order to analyze the system performance under different climatic conditions. The simulation results under symmetrical and asymmetrical electrical faults validated the effectiveness of the proposed strategy.

ACS Style

Hesham M. Fekry; Azza Ahmed Eldesouky; Ahmed M. Kassem; Almoataz Y. Abdelaziz. Power Management Strategy Based on Adaptive Neuro Fuzzy Inference System for AC Microgrid. IEEE Access 2020, 8, 1 -1.

AMA Style

Hesham M. Fekry, Azza Ahmed Eldesouky, Ahmed M. Kassem, Almoataz Y. Abdelaziz. Power Management Strategy Based on Adaptive Neuro Fuzzy Inference System for AC Microgrid. IEEE Access. 2020; 8 ():1-1.

Chicago/Turabian Style

Hesham M. Fekry; Azza Ahmed Eldesouky; Ahmed M. Kassem; Almoataz Y. Abdelaziz. 2020. "Power Management Strategy Based on Adaptive Neuro Fuzzy Inference System for AC Microgrid." IEEE Access 8, no. : 1-1.

Journal article
Published: 19 October 2020 in Energies
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Soft open points (SOPs) are power electronic devices that replace the normal open points in active distribution systems. They provide resiliency in terms of transferring electrical power between adjacent feeders and delivering the benefits of meshed networks. In this work, a multi-objective bilevel optimization problem is formulated to maximize the hosting capacity (HC) of a real 59-node distribution system in Egypt and an 83-node distribution system in Taiwan, using distribution system reconfiguration (DSR) and SOP placement. Furthermore, the uncertainty in the load is considered to step on the real benefits of allocating SOPs along with DSR. The obtained results validate the effectiveness of DSR and SOP allocation in maximizing the HC of the studied distribution systems with low cost.

ACS Style

Ibrahim Mohamed Diaaeldin; Shady H. E. Abdel Aleem; Ahmed El-Rafei; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. Enhancement of Hosting Capacity with Soft Open Points and Distribution System Reconfiguration: Multi-Objective Bilevel Stochastic Optimization. Energies 2020, 13, 5446 .

AMA Style

Ibrahim Mohamed Diaaeldin, Shady H. E. Abdel Aleem, Ahmed El-Rafei, Almoataz Y. Abdelaziz, Ahmed F. Zobaa. Enhancement of Hosting Capacity with Soft Open Points and Distribution System Reconfiguration: Multi-Objective Bilevel Stochastic Optimization. Energies. 2020; 13 (20):5446.

Chicago/Turabian Style

Ibrahim Mohamed Diaaeldin; Shady H. E. Abdel Aleem; Ahmed El-Rafei; Almoataz Y. Abdelaziz; Ahmed F. Zobaa. 2020. "Enhancement of Hosting Capacity with Soft Open Points and Distribution System Reconfiguration: Multi-Objective Bilevel Stochastic Optimization." Energies 13, no. 20: 5446.

Review
Published: 22 September 2020 in Numerical Methods for Energy Applications
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In recent days electrical power system experiencing a rapid change thereby inclusion of advanced equipment and expansion of transmission/distribution network. Besides the modernisation of existing power system network, a number of renewable energy sources such as wind parks and solar parks etc., have been integrated to balance growing power demand due to the industrialization and digitalization. However, a secure and dependable operation of power system network is not so easy because of its complex nature in terms of control, operation and maintenance of various components in wide-area network. Inspite of gigantic developments in power system operations, components and protection technologies, today’s power systems are more susceptible to blackouts than ever before. In this context some of the recorded major blackout incidents have been classified according to the time and location as of research reference purpose. As per the survey the frequency of occurrence of blackouts is increased over time. Practically, it is not possible to avoid blackouts completely; though, various research studies and number of research articles were acknowledged that by taking some rationally gainful measures, incidence of the blackouts could be abated and/or their effects could be mitigated. The forthright approach is to minimize the peril of unplanned disturbances thereby extenuating opportune paradigms to the extent that possible, the root causes of the disturbances through analyses and audits followed by initiating various preventive and corrective actions. In view of the preventive and corrective actions to avoid wide-area disturbances, a new paradigm has been embraced with Wide-Area Protection, Control and Monitoring (WAPCAM) system. With the rapidly growing capabilities in advanced computer and communication technologies such as Intelligent Electronic Devices (IEDs) enabled Remote Terminal Units (RTUs), Global Positioning System (GPS) enabled Phasor Measurement Units (PMUs); opportunities are now being available to adopt the Wide-Area Protection, Control and Monitoring (WAPCAM) system. Such systems receive wide-range of data or information e.g. system-wide bus voltages, angles, active and reactive power flows, etc., and by analysing them, can estimate whether the system is at stressed condition or not. By taking coordinated actions, the power system network can be saved from proceeding to total collapse, or even, mitigate the wide-area disturbance effects upon the system. WAPCAM system has different level of hierarchies in realization of preventive and corrective actions such as local feeder level, sub-station level and central/regional level. One of the recommended preventive plans against the wide-area disturbances and the blackouts is Wide-Area Protection and Control (WAPC) system that includes Special Protection Schemes (SPS) (or) System Integrated Protection Schemes (SIPS) (or) Remedial Action Schemes (RAS) based on an advanced communication infrastructure etc. To mitigate the impact of wide-area disturbances, the remedial/corrective actions have been initiated by implementing Wide-Area Stability and Control (WASC) system that embraces power system stabilizers (PSS) and ON-Load Tap Changers (OLTC) and Wide-Area Monitoring and Control (WAMC) system. It also includes out-of-step (OSS) bus splitting and optimal islanding schemes etc. Although; the power system exhibits unstable dynamic phenomena at stressed conditions such as Transient Angle Instability, Voltage Instability and Frequency Instability, the WAPCAM has to bring back the power system to normal restorative condition as soon as possible. This chapter enlightens a comprehensive research review and explicates different type of WAPCAM systems that can address the major blackouts to improve stability, reliability and security of power system networks. A comparative assessment has been explicated by summarizing various recently reported conventional and intelligent schemes. It also enlightens the research insights to power system researchers and protection engineers while planning and designing of stable, reliable and secured power system networks.

ACS Style

Valabhoju Ashok; Anamika Yadav; Almoataz Y. Abdelaziz. A Comprehensive Review on Wide-Area Protection, Control and Monitoring Systems. Numerical Methods for Energy Applications 2020, 1 -43.

AMA Style

Valabhoju Ashok, Anamika Yadav, Almoataz Y. Abdelaziz. A Comprehensive Review on Wide-Area Protection, Control and Monitoring Systems. Numerical Methods for Energy Applications. 2020; ():1-43.

Chicago/Turabian Style

Valabhoju Ashok; Anamika Yadav; Almoataz Y. Abdelaziz. 2020. "A Comprehensive Review on Wide-Area Protection, Control and Monitoring Systems." Numerical Methods for Energy Applications , no. : 1-43.

Research article
Published: 13 September 2020 in Electric Power Components and Systems
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In the double-circuit transmission line (DCTL), location of cross-country faults (CCFs) is more wearisome due to its intricate nature. The CCFs can occur at miscellaneous locations on dissimilar phases at the same fault inception time. Furthermore, the CCFs encompasses different fault locations which can mislead the line patrolling team and not only takes long hours to attend the fault location. Therefore, this may also cause electrical stress on the various power system components owing to tripping of circuit breaker repeatedly because of inappropriate fault clearance. In this context, an ensemble of regression tree (ERT) model-based fault location scheme is proposed using different regression trees such as Bagged Regression Trees (BGRT) and Boosted Regression Trees (BSRT). These regression tree modules have been trained with optimized hyper-parameters such as minimum leaf size, leaning cycles, and learning rate by using Bayesian optimization. A 400 kV, 50 Hz Chhattisgarh state power system (CSPS) network has been designed and simulated in MATLAB/Simulink to implement the proposed fault location scheme. Exclusive datasets have been designed at atypical fault scenarios thereby applying an exploratory signal processing technique such as Discrete Wavelet Transform (DWT). Additionally, the performance assessment has been done by comparing different error metrics. The simulation results reveal the applicability of the proposed ensemble regression tree (ERT) model for location of CCFs and it gives a research insight to adapt the same in the real power system network.

ACS Style

Valabhoju Ashok; Anamika Yadav; Mohammad Pazoki; Almoataz Y. Abdelaziz. Fault Location Scheme for Cross-Country Faults in Dual-Circuit Line Using Optimized Regression Tree. Electric Power Components and Systems 2020, 48, 1632 -1648.

AMA Style

Valabhoju Ashok, Anamika Yadav, Mohammad Pazoki, Almoataz Y. Abdelaziz. Fault Location Scheme for Cross-Country Faults in Dual-Circuit Line Using Optimized Regression Tree. Electric Power Components and Systems. 2020; 48 (14-15):1632-1648.

Chicago/Turabian Style

Valabhoju Ashok; Anamika Yadav; Mohammad Pazoki; Almoataz Y. Abdelaziz. 2020. "Fault Location Scheme for Cross-Country Faults in Dual-Circuit Line Using Optimized Regression Tree." Electric Power Components and Systems 48, no. 14-15: 1632-1648.

Research article
Published: 13 September 2020 in Electric Power Components and Systems
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According to the new international grid codes, ancillary services from renewable energy sources are essential, especially when these sources are harnessed as distributed generators. Power oscillation damping (POD) is a supplemented feature needed from wind power plants. This paper investigates different control techniques that can support wind farms based on a doubly fed induction generator (DFIG) with the proper POD. A damping control loop (DCL) is inserted into the control circuit of the back-to-back converter of DFIG to enhance system oscillation damping. The main function of DCL is similar to that of the conventional power system stabilizer. However, under congestion situations, external regulation devices such as STATCOM are required to support system performance and maintain wind farms tracking grid code requirements. A 2-area 4-machine system which consists of three thermal power plants and one wind power plant is examined. The dynamic performance of the system is investigated using power system stabilizer (PSS) as an embedded feature with the control circuit of the thermal power plants. A comparison between the PSS and STATCOM based on system dynamic performance is performed using MATLAB/Simulink. Additionally, the particle swarm optimization technique is used to enhance the performance of the proposed control techniques, taking the voltage stability margins into consideration.

ACS Style

Omar Makram Kamel; Almoataz Y. Abdelaziz; Ahmed A. Zaki Diab. Damping Oscillation Techniques for Wind Farm DFIG Integrated into Inter-Connected Power System. Electric Power Components and Systems 2020, 48, 1551 -1570.

AMA Style

Omar Makram Kamel, Almoataz Y. Abdelaziz, Ahmed A. Zaki Diab. Damping Oscillation Techniques for Wind Farm DFIG Integrated into Inter-Connected Power System. Electric Power Components and Systems. 2020; 48 (14-15):1551-1570.

Chicago/Turabian Style

Omar Makram Kamel; Almoataz Y. Abdelaziz; Ahmed A. Zaki Diab. 2020. "Damping Oscillation Techniques for Wind Farm DFIG Integrated into Inter-Connected Power System." Electric Power Components and Systems 48, no. 14-15: 1551-1570.

Journal article
Published: 11 June 2020 in Electric Power Systems Research
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In this paper, an adaptive differential protection scheme is proposed for wind farm integrated power network. Any fixed threshold setting based protection scheme is not always suitable for the different operating conditions of power system. Considering the possible modulations in the fault signal, a particle swarm optimization (PSO) based differential relay algorithm is proposed in this paper. The positive sequence current differential principle is used. For different operating conditions, fault conditions and configurations of the system, the threshold value can be calculated online. So, practically the method can be applied to any power system model and the impact of dynamic operation of wind farm on the protection function is negligible. The threshold setting is designed considering the fault location and fault inception angle. Initially, the most effective faults among all the possible faults are identified with a single variable (fault location) objective function. Later, only single-phase-to-ground fault is considered for threshold setting with all possible parameters. The method is tested using a standard power system model integrated with wind farm and simulated using MATLAB R2016a software. Results prove the efficacy of the method.

ACS Style

Ch. Durga Prasad; Monalisa Biswal; Almoataz Y. Abdelaziz. Adaptive differential protection scheme for wind farm integrated power network. Electric Power Systems Research 2020, 187, 106452 .

AMA Style

Ch. Durga Prasad, Monalisa Biswal, Almoataz Y. Abdelaziz. Adaptive differential protection scheme for wind farm integrated power network. Electric Power Systems Research. 2020; 187 ():106452.

Chicago/Turabian Style

Ch. Durga Prasad; Monalisa Biswal; Almoataz Y. Abdelaziz. 2020. "Adaptive differential protection scheme for wind farm integrated power network." Electric Power Systems Research 187, no. : 106452.

Articles
Published: 29 January 2020 in International Journal of Control
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Solar photovoltaic (PV) energy sources are rapidly becoming more popular. The PV system output power relies on the applied current or voltage nonlinearity and there exist a unique point called the maximum power point (MPP). For effective energy extraction from the PV system, this paper presents a new controller design strategy to track the MPP of a PV system using a sliding mode control method of self-optimization. The proposed controller design offers fast and accurate convergence to the MPP in steady state and during varying environmental conditions. A DC/DC boost converter is utilized as a control actuator for the MPP tracking using PWM control. Simulation and experimental results are provided to demonstrate the validity of the proposed controller design.

ACS Style

Yazan M. Alsmadi; Ayedh Alqahtani; Roberto Giral; Enric Vidal-Idiarte; Luis Martinez-Salamero; Vadim Utkin; Longya Xu; Almoataz Y. Abdelaziz. Sliding mode control of photovoltaic based power generation systems for microgrid applications. International Journal of Control 2020, 94, 1704 -1715.

AMA Style

Yazan M. Alsmadi, Ayedh Alqahtani, Roberto Giral, Enric Vidal-Idiarte, Luis Martinez-Salamero, Vadim Utkin, Longya Xu, Almoataz Y. Abdelaziz. Sliding mode control of photovoltaic based power generation systems for microgrid applications. International Journal of Control. 2020; 94 (6):1704-1715.

Chicago/Turabian Style

Yazan M. Alsmadi; Ayedh Alqahtani; Roberto Giral; Enric Vidal-Idiarte; Luis Martinez-Salamero; Vadim Utkin; Longya Xu; Almoataz Y. Abdelaziz. 2020. "Sliding mode control of photovoltaic based power generation systems for microgrid applications." International Journal of Control 94, no. 6: 1704-1715.

Articles
Published: 20 January 2020 in Electric Power Components and Systems
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The basic objectives of demand side management (DSM) are shifting load from peak hours to off-peak hours and reducing consumption during peak hours. The DSM operation is cleared when deregulated electricity market is considered where the retailer purchases electricity from the electricity market to cover the end users requirements of energy. In this paper, DSM techniques (load shifting and peak clipping) are used to maximize the profit for retailer company by reducing total demand at peak hours and achieve an optimal daily load schedule using linear programing (LP) and genetic algorithm (GA). These techniques are implemented on the 33-bus radial network included wind generation penetration. A short term artificial neural network technique (ANN) is used to get forecasted wind speed and forecasted users load for date 25-March-2018. The ANN uses an actual hourly load data and an actual hourly wind speed data. Then the forecasted data is used in the optimization to get optimal daily load schedule to maximize the profit for retailer company. Finally, comparison is carried out between profit using LP and GA. The optimized DSM succeeded to increase the profits of the company by around 4.5 times its old profit using LP and around 2.5 times using GA.

ACS Style

Ahmed M. Ibrahim; Mahmoud A. Attia; Almoataz Y. Abdelaziz. A DSM Approach for Distribution Systems with High Wind Power Penetration. Electric Power Components and Systems 2020, 48, 56 -69.

AMA Style

Ahmed M. Ibrahim, Mahmoud A. Attia, Almoataz Y. Abdelaziz. A DSM Approach for Distribution Systems with High Wind Power Penetration. Electric Power Components and Systems. 2020; 48 (1-2):56-69.

Chicago/Turabian Style

Ahmed M. Ibrahim; Mahmoud A. Attia; Almoataz Y. Abdelaziz. 2020. "A DSM Approach for Distribution Systems with High Wind Power Penetration." Electric Power Components and Systems 48, no. 1-2: 56-69.

Journal article
Published: 20 January 2020 in Energies
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While addressing the issue of improving the performance of Photovoltaic (PV) systems, the simulation results are highly influenced by the PV model accuracy. Building the PV module mathematical model is based on its I-V characteristic, which is a highly nonlinear relationship. All the PV cells’ data sheets do not provide full information about their parameters. This leads to a nonlinear mathematical model with several unknown parameters. This paper proposes a new application of the Grasshopper Optimization Algorithm (GOA) for parameter extraction of the three-diode PV model of a PV module. Two commercial PV modules, Kyocera KC200GT and Solarex MSX-60 PV cells are utilized in examining the GOA-based PV model. The simulation results are executed under various temperatures and irradiations. The proposed PV model is evaluated by comparing its results with the experimental results of these commercial PV modules. The efficiency of the GOA-based PV model is tested by making a fair comparison among its numerical results and other optimization method-based PV models. With the GOA, a precise three-diode PV model shall be established.

ACS Style

Omnia S. ElAzab; Hany M. Hasanien; Ibrahim Alsaidan; Almoataz Y. Abdelaziz; S. M. Muyeen. Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm. Energies 2020, 13, 497 .

AMA Style

Omnia S. ElAzab, Hany M. Hasanien, Ibrahim Alsaidan, Almoataz Y. Abdelaziz, S. M. Muyeen. Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm. Energies. 2020; 13 (2):497.

Chicago/Turabian Style

Omnia S. ElAzab; Hany M. Hasanien; Ibrahim Alsaidan; Almoataz Y. Abdelaziz; S. M. Muyeen. 2020. "Parameter Estimation of Three Diode Photovoltaic Model Using Grasshopper Optimization Algorithm." Energies 13, no. 2: 497.

Articles
Published: 02 January 2020 in Journal of Interdisciplinary Mathematics
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This Paper introduces a relation between Cleaning Intervals (m), Annual Energy Losses Cost cE (m), Annual Cleaning Cost Ccl(m) and the Total Annual Cost Ct(m) in the PV system. As the Dust accumulation reduces the solar transmittance of PV modules subsequently the PV modules will be affected negatively so this work is carried out to investigate the optimum cleaning frequency of PV modules cleaning through monitoring the soiling loss, soiling modeling was obtained in detail. Studying the effect of soiling density on angle of incidence (AOI) based on the obtained soiling rate and cleaning PV scenarios was also investigated with same steps. The main goal behind this study was to compare between the Annual Cleaning Cost and the Annual Energy Losses Cost to meet the optimized Cleaning rate with the minimum Energy Losses and Cost.

ACS Style

Mariam Mohamed; Mahmoud A. Attia; Ahmed M. Asim; Almoataz Y. Abdelaziz; Neeraj Kanwar. Optimization of cleaning frequency and dust accumulation effect on photovoltaic panels. Journal of Interdisciplinary Mathematics 2020, 23, 53 -68.

AMA Style

Mariam Mohamed, Mahmoud A. Attia, Ahmed M. Asim, Almoataz Y. Abdelaziz, Neeraj Kanwar. Optimization of cleaning frequency and dust accumulation effect on photovoltaic panels. Journal of Interdisciplinary Mathematics. 2020; 23 (1):53-68.

Chicago/Turabian Style

Mariam Mohamed; Mahmoud A. Attia; Ahmed M. Asim; Almoataz Y. Abdelaziz; Neeraj Kanwar. 2020. "Optimization of cleaning frequency and dust accumulation effect on photovoltaic panels." Journal of Interdisciplinary Mathematics 23, no. 1: 53-68.