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Dr. Mohamed Mosaad
Assoc. Prof. Dr. / Yanbu Industrial college

Basic Info


Research Keywords & Expertise

0 Power and Energy Systems
0 Optimal Control
0 Renewable and clean energies
0 Control of power systems
0 Wind and solar energy integration

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Control of power systems
Optimal Control
Wind and solar energy integration

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Short Biography

Mohamed I. Mossad received his PhD degree in electrical engineering from Cairo University, Egypt. Currently, he is an Assistant Professor in the Department of Electrical and Computer Engineering at the Higher Technological Institute, Egypt, on leave at Yanbu Industrial College, Saudi Arabia. His research interests include power system stability, control, and renewable energy. He is a regular reviewer for the International Journal of Industrial Electronics and Drives and the International Journal of Energy Engineering.

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Journal article
Published: 01 June 2021 in Energies
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Real-time estimation of transmission line (TL) parameters is essential for proper management of transmission and distribution networks. These parameters can be used to detect incipient faults within the line and hence avoid any potential consequences. While some attempts can be found in the literature to estimate TL parameters, the presented techniques are either complex or impractical. Moreover, none of the presented techniques published in the literature so far can be implemented in real time. This paper presents a cost-effective technique to estimate TL parameters in real time. The proposed technique employs easily accessible voltage and current data measured at both ends of the line. For simplicity, only one quarter of the measured data is sampled and utilized in a developed objective function that is solved using the whale optimization algorithm (WOA) to estimate the TL parameters. The proposed objective function comprises the sum of square errors of the measured data and the corresponding estimated values. The robustness of the proposed technique is tested on a simple two-bus and the IEEE 14-bus systems. The impact of uncertainties in the measured data including magnitude, phase, and communication delay on the performance of the proposed estimation technique is also investigated. Results reveal the effectiveness of the proposed method that can be implemented in real time to detect any incipient variations in the TL parameters due to abnormal or fault events.

ACS Style

Wael Hassanein; Marwa Ahmed; Mohamed Mosaad; A. Abu-Siada. Estimation of Transmission Line Parameters Using Voltage-Current Measurements and Whale Optimization Algorithm. Energies 2021, 14, 3239 .

AMA Style

Wael Hassanein, Marwa Ahmed, Mohamed Mosaad, A. Abu-Siada. Estimation of Transmission Line Parameters Using Voltage-Current Measurements and Whale Optimization Algorithm. Energies. 2021; 14 (11):3239.

Chicago/Turabian Style

Wael Hassanein; Marwa Ahmed; Mohamed Mosaad; A. Abu-Siada. 2021. "Estimation of Transmission Line Parameters Using Voltage-Current Measurements and Whale Optimization Algorithm." Energies 14, no. 11: 3239.

Journal article
Published: 19 May 2021 in Electronics
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Dissolved gas analysis (DGA) is one of the regular routine tests accepted by worldwide utilities to detect power transformer incipient faults. While the DGA measurement has fully matured since the development of offline and online sensors, interpretation of the DGA results still calls for advanced approaches to automate and standardize the process. Current industry practice relies on various interpretation techniques that are reported to be inconsistent and, in some cases, unreliable. This paper presents a new application for the advanced logistic regression algorithm to improve the reliability of the DGA interpretation process. In this regard, regularized logistic regression is used to improve the accuracy of the DGA interpretation process. Results reveal the superior features of the proposed logistic regression approach over the conventional and artificial intelligence techniques presented in the literature.

ACS Style

Yousuf Almoallem; Ibrahim Taha; Mohamed Mosaad; Lara Nahma; Ahmed Abu-Siada. Application of Logistic Regression Algorithm in the Interpretation of Dissolved Gas Analysis for Power Transformers. Electronics 2021, 10, 1206 .

AMA Style

Yousuf Almoallem, Ibrahim Taha, Mohamed Mosaad, Lara Nahma, Ahmed Abu-Siada. Application of Logistic Regression Algorithm in the Interpretation of Dissolved Gas Analysis for Power Transformers. Electronics. 2021; 10 (10):1206.

Chicago/Turabian Style

Yousuf Almoallem; Ibrahim Taha; Mohamed Mosaad; Lara Nahma; Ahmed Abu-Siada. 2021. "Application of Logistic Regression Algorithm in the Interpretation of Dissolved Gas Analysis for Power Transformers." Electronics 10, no. 10: 1206.

Journal article
Published: 03 May 2021 in IEEE Access
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Frequency Response Analysis (FRA) is the most reliable technique currently used to evaluate the mechanical integrity of power transformers. While the measurement devices have been well developed over the past two decades, interpretation of the FRA signatures is still challenging regardless of the several papers published in this regard. This paper adds an attempt to understand the power transformer FRA signatures through experimental and simulation analyses. In this context, experimental FRA measurements are conducted on a 33/11 kV, 30 MVA transformer under various faults, including winding deformation, the short circuit turns, loss of clamping, and bushing fault. At the same time, the high-frequency transformer model that comprises series capacitance, self-inductance, series resistance, and mutual inductance is simulated using MATLAB / Simulink to compare simulation and experimental results. The correlation between physical circuit parameters and various faults facilitates a better understanding of each fault’s effect on the FRA signature. To quantify the impact of such faults, correlation coefficient, the absolute sum of logarithmic error, standard deviation, and sum square error are calculated with respect to the healthy signature at three frequency regions. Results show that using statistical coefficients over three frequency ranges of the FRA signature facilitates better fault identification and quantification.

ACS Style

Salem Mgammal Awadh Nasser Al-Ameri; Muhammad Saufi Kamarudin; Mohd Fairouz Mohd Yousof; Ali A. Salem; Fahd A. Banakhr; Mohamed I. Mosaad; A. Abu-Siada. Understanding the Influence of Power Transformer Faults on the Frequency Response Signature Using Simulation Analysis and Statistical Indicators. IEEE Access 2021, 9, 70935 -70947.

AMA Style

Salem Mgammal Awadh Nasser Al-Ameri, Muhammad Saufi Kamarudin, Mohd Fairouz Mohd Yousof, Ali A. Salem, Fahd A. Banakhr, Mohamed I. Mosaad, A. Abu-Siada. Understanding the Influence of Power Transformer Faults on the Frequency Response Signature Using Simulation Analysis and Statistical Indicators. IEEE Access. 2021; 9 ():70935-70947.

Chicago/Turabian Style

Salem Mgammal Awadh Nasser Al-Ameri; Muhammad Saufi Kamarudin; Mohd Fairouz Mohd Yousof; Ali A. Salem; Fahd A. Banakhr; Mohamed I. Mosaad; A. Abu-Siada. 2021. "Understanding the Influence of Power Transformer Faults on the Frequency Response Signature Using Simulation Analysis and Statistical Indicators." IEEE Access 9, no. : 70935-70947.

Journal article
Published: 22 April 2021 in Sustainability
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Hybrid microgrids are presented as a solution to many electrical energetic problems. These microgrids contain some renewable energy sources such as photovoltaic (PV), wind and biomass, or a hybrid of these sources, in addition to storage systems. Using these microgrids in electric power generation has many advantages such as clean energy, stability in supplying power, reduced grid congestion and a new investment field. Despite all these microgrids advantages, they are not widely used due to some economic aspects. These aspects are represented in the net present cost (NPC) and the levelized cost of energy (LCOE). To handle these economic aspects, the proper microgrids configuration according to the quantity, quality and availability of the sustainable source of energy in installing the microgrid as well as the optimal design of the microgrid components should be investigated. The objective of this paper is to design an economic microgrid system for the Yanbu region of Saudi Arabia. This design aims to select the best microgrid configuration while minimizing both NPC and LCOE considering some technical conditions, including loss of power supply probability and availability index. The optimization algorithm used is Giza Pyramids Construction (GPC). To prove the GPC algorithm’s effectiveness in solving the studied optimization problem, artificial electric field and grey wolf optimizer algorithms are used for comparison purposes. The obtained results demonstrate that the best configuration for the selected area is a PV/biomass hybrid microgrid with a minimum NPC and LCOE of $319,219 and $0.208/kWh, respectively.

ACS Style

Mohammed Kharrich; Salah Kamel; Ali Alghamdi; Ahmad Eid; Mohamed Mosaad; Mohammed Akherraz; Mamdouh Abdel-Akher. Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia. Sustainability 2021, 13, 4708 .

AMA Style

Mohammed Kharrich, Salah Kamel, Ali Alghamdi, Ahmad Eid, Mohamed Mosaad, Mohammed Akherraz, Mamdouh Abdel-Akher. Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia. Sustainability. 2021; 13 (9):4708.

Chicago/Turabian Style

Mohammed Kharrich; Salah Kamel; Ali Alghamdi; Ahmad Eid; Mohamed Mosaad; Mohammed Akherraz; Mamdouh Abdel-Akher. 2021. "Optimal Design of an Isolated Hybrid Microgrid for Enhanced Deployment of Renewable Energy Sources in Saudi Arabia." Sustainability 13, no. 9: 4708.

Journal article
Published: 01 April 2021 in Applied Sciences
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Power transformers are located in the electrical transmission and distribution networks where different voltage levels are needed. The turn ratio of the low voltage and high voltage windings is mechanically controlled by an on-load tap changer or de-energized tap changer. As the tap changer is the transformer’s only moving part, it is highly susceptible to mechanical failure and aging degradation. While some diagnostic tools have been used to determine the mechanical condition of tap changer contacts, not much attention was given to use the frequency response analysis to diagnose the transformer’s tap changers’ mechanical integrity. This paper is taking one step forward into maturing the application of the frequency response analysis (FRA) technique to detect transformer tap changer faults. In this regard, two common tap changer faults are created, and experimental testing for four FRA test configurations is conducted. For a better understanding of the tap changer fault mechanism, an electrical equivalent circuit model is proposed and designed using Simulink. The simulation and implementation of the equivalent circuits using MATLAB\R2018a.

ACS Style

Salem Al-Ameri; Abdulaziz Almutairi; Muhammad Kamarudin; Mohd Yousof; Ahmed Abu-Siada; Mohamed Mosaad; Saeed Alyami. Application of Frequency Response Analysis Technique to Detect Transformer Tap Changer Faults. Applied Sciences 2021, 11, 3128 .

AMA Style

Salem Al-Ameri, Abdulaziz Almutairi, Muhammad Kamarudin, Mohd Yousof, Ahmed Abu-Siada, Mohamed Mosaad, Saeed Alyami. Application of Frequency Response Analysis Technique to Detect Transformer Tap Changer Faults. Applied Sciences. 2021; 11 (7):3128.

Chicago/Turabian Style

Salem Al-Ameri; Abdulaziz Almutairi; Muhammad Kamarudin; Mohd Yousof; Ahmed Abu-Siada; Mohamed Mosaad; Saeed Alyami. 2021. "Application of Frequency Response Analysis Technique to Detect Transformer Tap Changer Faults." Applied Sciences 11, no. 7: 3128.

Journal article
Published: 25 March 2021 in Applied Sciences
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Frequency response analysis (FRA) is a method of monitoring a power transformer’s mechanical integrity. However, identifying the type of fault and its severity by comparing measured responses is still challenging and mostly relies on personnel expertise. This paper is taking one step forward to standardize the FRA interpretation process by proposing guidelines based on various international standards and FRA case studies. In this study, the FRA signature is divided into three regions: low-, mid- and high-frequency regions. The deviation from the fingerprint signature for various faults is classified into small, large, and no variations, based on the calculation of the correlation coefficient. The proposed guidelines are developed based on the frequency regions, and the level of variation is represented using a simple arrow method to simplify the interpretation process. A case study is conducted on a three-phase 11/0.433 kV, 500 kVA distribution transformer with a short circuit winding fault to validate the proposed guidelines.

ACS Style

Salem Al-Ameri; Muhammad Kamarudin; Mohd Yousof; Ali Salem; A. Siada; Mohamed Mosaad. Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers. Applied Sciences 2021, 11, 2923 .

AMA Style

Salem Al-Ameri, Muhammad Kamarudin, Mohd Yousof, Ali Salem, A. Siada, Mohamed Mosaad. Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers. Applied Sciences. 2021; 11 (7):2923.

Chicago/Turabian Style

Salem Al-Ameri; Muhammad Kamarudin; Mohd Yousof; Ali Salem; A. Siada; Mohamed Mosaad. 2021. "Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers." Applied Sciences 11, no. 7: 2923.

Journal article
Published: 15 March 2021 in Electronics
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In this paper, an optimal design of a microgrid including four houses in Dakhla city (Morocco) is proposed. To make this study comprehensive and applicable to any hybrid system, each house has a different configuration of renewable energies. The configurations of these four houses are PV/wind turbine (WT)/biomass/battery, PV/biomass, PV/diesel/battery, and WT/diesel/battery systems. The comparison factor among these configurations is the cost of energy (COE), comparative index, where the load is different in the four houses. Otherwise, the main objective function is the minimization of the net present cost (NPC), subject to several operating constraints, the power loss, the power generated by the renewable sources (renewable fraction), and the availability. This objective function is achieved using a developed optimization algorithm. The main contribution of this paper is to propose and apply a new optimization technique for the optimal design of a microgrid considering different economic and ecological aspects. The developed optimization algorithm is based on the hybridization of two metaheuristic algorithms, the invasive weed optimization (IWO) and backtracking search algorithm (BSA), with the aim of collecting the advantages of both. The proposed hybrid optimization algorithm (IWO/BSA) is compared with the original two optimization methods (IWO and BSA) as well as other well-known optimization methods. The results indicate that PV/biomass and PV/diesel/battery systems have the best energy cost using the proposed IWO/BSA algorithm with 0.1184 $/kWh and 0.1354 $/kWh, respectively. The best system based on its LCOE factor is the PV/biomass which represents an NPC of 124,689 $, the size of this system is 349.55 m2 of PV area and the capacity of the biomass is 18.99 ton/year. The PV/diesel/battery option has also good results, with a system NPC of 142,233 $, the size of this system is about 391.39 m2 of PV area, rated power of diesel generator about 0.55 kW, and a battery capacity of 12.97 kWh. Otherwise, the proposed IWO/BSA has the best convergence in all cases. It is observed that the wind turbine generates more dumped power, and the PV system is highly suitable for the studied area.

ACS Style

Mohammed Kharrich; Salah Kamel; Rachid Ellaia; Mohammed Akherraz; Ali Alghamdi; Mamdouh Abdel-Akher; Ahmad Eid; Mohamed Mosaad. Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm. Electronics 2021, 10, 687 .

AMA Style

Mohammed Kharrich, Salah Kamel, Rachid Ellaia, Mohammed Akherraz, Ali Alghamdi, Mamdouh Abdel-Akher, Ahmad Eid, Mohamed Mosaad. Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm. Electronics. 2021; 10 (6):687.

Chicago/Turabian Style

Mohammed Kharrich; Salah Kamel; Rachid Ellaia; Mohammed Akherraz; Ali Alghamdi; Mamdouh Abdel-Akher; Ahmad Eid; Mohamed Mosaad. 2021. "Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm." Electronics 10, no. 6: 687.

Journal article
Published: 09 March 2021 in IEEE Access
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Integrating renewable energy sources (RESs) into electrical power systems has gotten highly noticeable among researchers and those interested in electrical energy production due to the increase in energy demands, fossil fuel exhaustion, and ecological effects. PV-based renewable energy generation is one of the essential RESs that has appeared and had played a vital role in electrical power systems recently due to their advantages. In this regard, this paper presents a multi-objective computation problem for optimal siting and the design of grid-tied PV systems to achieve optimum generating reliability, considering some states of different generation probabilities. The proposed paper studies the evaluation of the grid-tied PV systems reliability, the states of generation probabilities, the generation buses availabilities, the capacities of the generation’s system in or out of service for each failure state, and the frequency and mean duration of generation failure states. The presented multi-objective computation problem is optimized using a modified adaptive accelerated particle swarm optimization (MAACPSO) algorithm. The effectiveness of the proposed method is demonstrated through IEEE_EPS_24_bus integrated with PV systems. Results revealed the ability of MAACPSO to solve the multi-objective optimization problem presented, consequently supporting the system reliability.

ACS Style

Aiman Abd Elkader Tawfiq; Mohamed Osama Abed El-Raouf; Mohamed I. Mosaad; Amal Farouk Abdel Gawad; Mohamed Abd Elfatah Farahat. Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques. IEEE Access 2021, 9, 42125 -42139.

AMA Style

Aiman Abd Elkader Tawfiq, Mohamed Osama Abed El-Raouf, Mohamed I. Mosaad, Amal Farouk Abdel Gawad, Mohamed Abd Elfatah Farahat. Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques. IEEE Access. 2021; 9 ():42125-42139.

Chicago/Turabian Style

Aiman Abd Elkader Tawfiq; Mohamed Osama Abed El-Raouf; Mohamed I. Mosaad; Amal Farouk Abdel Gawad; Mohamed Abd Elfatah Farahat. 2021. "Optimal Reliability Study of Grid-Connected PV Systems Using Evolutionary Computing Techniques." IEEE Access 9, no. : 42125-42139.

Journal article
Published: 01 March 2021 in Ain Shams Engineering Journal
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ACS Style

Mohamed F. El-Naggar; Mohamed I. Mosaad; Hany M. Hasanien; Tarek A. AbdulFattah; Ahmed F. Bendary. Elephant herding algorithm-based optimal PI controller for LVRT enhancement of wind energy conversion systems. Ain Shams Engineering Journal 2021, 12, 599 -608.

AMA Style

Mohamed F. El-Naggar, Mohamed I. Mosaad, Hany M. Hasanien, Tarek A. AbdulFattah, Ahmed F. Bendary. Elephant herding algorithm-based optimal PI controller for LVRT enhancement of wind energy conversion systems. Ain Shams Engineering Journal. 2021; 12 (1):599-608.

Chicago/Turabian Style

Mohamed F. El-Naggar; Mohamed I. Mosaad; Hany M. Hasanien; Tarek A. AbdulFattah; Ahmed F. Bendary. 2021. "Elephant herding algorithm-based optimal PI controller for LVRT enhancement of wind energy conversion systems." Ain Shams Engineering Journal 12, no. 1: 599-608.

Journal article
Published: 09 February 2021 in IEEE Access
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Connecting different renewable energy sources (RESs) to the electrical grids is presently being urged to fulfill the enormous need for electric power and to decrease traditional sources’ ecological related issues, the so-called hybrid systems. Unfortunately, these hybrid systems suffer from the possible negative environmental impacts of the wind gusts in wind energy conversion systems (WECSs) that may degrade the overall system performance. Additionally, various severe faults may disconnect some RESs from the hybrid system, like three-phase faults. In this paper, the static synchronous compensator (STATCOM) is considered for both improving the performance of a hybrid system, contains WECS and photovoltaics (PVs) against wind gusts and maintaining the continuous operations of RESs during three-phase fault occur at the point of common coupling (PCC) between the RESs and the grid. The STATCOM is stimulated by two PI controllers regulating the reactive power flow between the STATCOM and the hybrid system at PCC and, consequently, regulating the voltage at PCC. A metaheuristic optimizer optimally schedules these two PI controllers based on whale optimization algorithm (WOA). The impartial comparison between the WOA dynamic performance and the particle swarm optimization as another optimization algorithm verifies the efficiency of the WOA for the near-optimal gain scheduling of the PI controller gains.

ACS Style

Mohamed I. Mosaad; Haitham Saad Mohamed Ramadan; Mansour Aljohani; Mohamed F. El-Naggar; Sherif S. M. Ghoneim. Near-Optimal PI Controllers of STATCOM for Efficient Hybrid Renewable Power System. IEEE Access 2021, 9, 34119 -34130.

AMA Style

Mohamed I. Mosaad, Haitham Saad Mohamed Ramadan, Mansour Aljohani, Mohamed F. El-Naggar, Sherif S. M. Ghoneim. Near-Optimal PI Controllers of STATCOM for Efficient Hybrid Renewable Power System. IEEE Access. 2021; 9 (99):34119-34130.

Chicago/Turabian Style

Mohamed I. Mosaad; Haitham Saad Mohamed Ramadan; Mansour Aljohani; Mohamed F. El-Naggar; Sherif S. M. Ghoneim. 2021. "Near-Optimal PI Controllers of STATCOM for Efficient Hybrid Renewable Power System." IEEE Access 9, no. 99: 34119-34130.

Preprint content
Published: 15 January 2021
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Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages in both on and off-grid applications. The requirement for higher proficiency from the PV system to reap the energy requires maximum power point tracking techniques (MPPT). This paper presents an adaptive MPPT of a stand-alone PV system using an updated PI controller optimized by harmony search (HS). A lockup table is formed for the temperature and irradiance with the corresponding voltage at MPP (VMPP). This voltage is considered as the updated reference voltage required for MPP at each temperature and irradiance. The difference between this updated reference voltage at MPP and the variable PV voltage due to changing the environmental conditions is used to stimulate PI controller optimized by HS to update the duty cycle (D) of the DC-DC converter. Another lockup table is formed with the temperature, irradiance and the corresponding duty cycle at MPP to convert this MPP technique into an adaptive one. An experimental implementation of the proposed adaptive MPPT is introduced to test the validity of the simulation results obtained at different irradiance and temperature levels.

ACS Style

Mohamed Mosaad; Fahd Banakhr. High Performance Adaptive Maximum Power Point Tracking Technique for Off-Grid Photovoltaic Systems. 2021, 1 .

AMA Style

Mohamed Mosaad, Fahd Banakhr. High Performance Adaptive Maximum Power Point Tracking Technique for Off-Grid Photovoltaic Systems. . 2021; ():1.

Chicago/Turabian Style

Mohamed Mosaad; Fahd Banakhr. 2021. "High Performance Adaptive Maximum Power Point Tracking Technique for Off-Grid Photovoltaic Systems." , no. : 1.

Journal article
Published: 31 December 2020 in IEEE Access
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Developing countries’ energy sector faces a multitude of challenges, ranging from inadequate generation to unstable grids. Power outages are among the most common issues, particularly in remote areas. Utilizing grid-tied green energy resources to address this issue and to cover for power outages from local grids. This paper presents a cost-effective design of a grid-tied, hybrid green energy system (GES) consisting of wind, PV, and batteries considering the influence of the grid availability. A multi-objective, optimal techno-economic design, optimized by multi-objective particle swarm optimization technique is presented for the grid-tied GES linked to a small hamlet in the north of Egypt. The multi-objective function introduced in this work includes three objective functions which are, the Loss of Power Supply Probability (LPSP), the Cost of Energy (COE), and the System Surplus Energy Rates (SSER) considering the grid availability. The grid availability (GA) of 100% was considered as a base case and it was reduced to 70% with a step of 5%. The simulation consequences had cleared that the lowest and largest percentage values of SSER were obtained at GA of 85 %, and 70 % respectively. When the value of SSER equal to 0.33%, the system design for solving the grid unavailability consists of 12 PVs, one WT, and 1420 batteries with COE of 0.145$/kWh and TNPC of 3,699,800 ($).

ACS Style

Mohamed Mahmoud Samy; Mohamed I. Mosaad; Mohamed F. El-Naggar; Shimaa Barakat. Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study. IEEE Access 2020, 9, 14528 -14539.

AMA Style

Mohamed Mahmoud Samy, Mohamed I. Mosaad, Mohamed F. El-Naggar, Shimaa Barakat. Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study. IEEE Access. 2020; 9 (99):14528-14539.

Chicago/Turabian Style

Mohamed Mahmoud Samy; Mohamed I. Mosaad; Mohamed F. El-Naggar; Shimaa Barakat. 2020. "Reliability Support of Undependable Grid Using Green Energy Systems: Economic Study." IEEE Access 9, no. 99: 14528-14539.

Journal article
Published: 25 September 2020 in Ain Shams Engineering Journal
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Solar photovoltaic (PV) energy has met great attention in the electrical power generation field for its many advantages. The connection of the PV systems to the electrical network is performed through DC-DC converter and DC-AC inverter. This paper aims at enhancing the integration of the PV systems into the electrical network through controlling both the converter and the inverter. An adaptive reference PI (ARPI) controller for the inverter is introduced to enhance the system performance through supporting low voltage ride through (LVRT) capability, and smoothing the PV generated power fluctuations during variable environmental conditions. While the converter is used to achieve the maximum power point tracking (MPPT) of the PV system-based perturb and observe (P&O) algorithm at different environmental conditions. A comparison between the system performance using the proposed ARPI and an optimal PI controller optimized by harmony search (HS) is introduced to test the effectiveness of the proposed strategy.

ACS Style

Ayman Alhejji; Mohamed I. Mosaad. Performance enhancement of grid-connected PV systems using adaptive reference PI controller. Ain Shams Engineering Journal 2020, 12, 541 -554.

AMA Style

Ayman Alhejji, Mohamed I. Mosaad. Performance enhancement of grid-connected PV systems using adaptive reference PI controller. Ain Shams Engineering Journal. 2020; 12 (1):541-554.

Chicago/Turabian Style

Ayman Alhejji; Mohamed I. Mosaad. 2020. "Performance enhancement of grid-connected PV systems using adaptive reference PI controller." Ain Shams Engineering Journal 12, no. 1: 541-554.

Journal article
Published: 09 September 2020 in IEEE Access
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Integrating renewable energy resources (RERs) has become the head of concern of the modern power system to diminish the dependence of using conventional energy resources. However, intermittent, weather dependent, and stochastic natural are the main features of RESs which lead to increasing the uncertainty of the power system. This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning attachment procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand. The improved lightning attachment procedure optimization (ILAPO) is proposed to boost the searching capability and avoid stagnation of the traditional LAPO. ILAPO is based on two improvements: i) Levy flight to enhance the exploration process, ii) Spiral movement of the particles to improve the exploitation process of the LAPO. The scenario-based method is used to generate a set of scenarios captured from the uncertainties of solar irradiance and wind speed as well as load demand. The proposed ILAPO algorithm is employed to, optimally, dispatch the reactive power in the presence of RERs. The power losses and the total voltage deviations are used as objective functions to be minimized. The proposed algorithm is validated using IEEE 30-bus system under deterministic and probabilistic conditions. The obtained results verified the efficacy of the proposed ILAPO for ORPD solution compared with the traditional LAPO and other reported optimization algorithms.

ACS Style

Mohamed Ebeed; Abdelfatah Ali; Mohamed I. Mosaad; Salah Kamel. An Improved Lightning Attachment Procedure Optimizer for Optimal Reactive Power Dispatch With Uncertainty in Renewable Energy Resources. IEEE Access 2020, 8, 168721 -168731.

AMA Style

Mohamed Ebeed, Abdelfatah Ali, Mohamed I. Mosaad, Salah Kamel. An Improved Lightning Attachment Procedure Optimizer for Optimal Reactive Power Dispatch With Uncertainty in Renewable Energy Resources. IEEE Access. 2020; 8 (99):168721-168731.

Chicago/Turabian Style

Mohamed Ebeed; Abdelfatah Ali; Mohamed I. Mosaad; Salah Kamel. 2020. "An Improved Lightning Attachment Procedure Optimizer for Optimal Reactive Power Dispatch With Uncertainty in Renewable Energy Resources." IEEE Access 8, no. 99: 168721-168731.

Journal article
Published: 01 September 2020 in International Journal of Hydrogen Energy
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This study addresses the problem of power outages in distant districts by taking advantage of the available renewable energy resources in the surrounding environment. This was done by proposing connecting the utility to a hybrid system constituting from photovoltaic (PV), wind turbine (WT), and fuel cell (FC) systems where this hybrid system is considered as a backup system that works when the grid is unavailable. This hybrid system proposed is used for feeding the load to a tourist resort in Hurghada, Egypt. The design of the introduced system has taken into consideration the cost of purchasing electric energy and the profit from selling it to the utility network. Component scaling was implemented to improve the net present cost of the proposed system using two grouped meta-heuristic techniques, which are the Hybrid Firefly and Harmony Search optimization technique (HFA/HS) and compared to the particle swarm optimization (PSO) technique. Simulation results have shown that the optimal system for solving the grid unavailability consists of eighty PVs, two WTs, twenty FCs, forty-one electrolyzers, and one hundred eighteen hydrogen tanks. The results also showed that the volume of exchange with the grid has reached 4 GW of purchase and 3 GW of sale. It is manifest from the results that the suggested system is economically viable with an LCOE of 0.0628 $/kWh, which is less than the purchase of electricity from the grid for commercial users in Egypt, which is 0.1 $/kWh.

ACS Style

M.M. Samy; Mohamed I. Mosaad; S. Barakat. Optimal economic study of hybrid PV-wind-fuel cell system integrated to unreliable electric utility using hybrid search optimization technique. International Journal of Hydrogen Energy 2020, 46, 11217 -11231.

AMA Style

M.M. Samy, Mohamed I. Mosaad, S. Barakat. Optimal economic study of hybrid PV-wind-fuel cell system integrated to unreliable electric utility using hybrid search optimization technique. International Journal of Hydrogen Energy. 2020; 46 (20):11217-11231.

Chicago/Turabian Style

M.M. Samy; Mohamed I. Mosaad; S. Barakat. 2020. "Optimal economic study of hybrid PV-wind-fuel cell system integrated to unreliable electric utility using hybrid search optimization technique." International Journal of Hydrogen Energy 46, no. 20: 11217-11231.

Journal article
Published: 06 June 2020 in Alexandria Engineering Journal
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This article proposes an Artificial Neural Network (ANN) controller of Dynamic Voltage Restorer (DVR) to improve the performance of a stand-alone hybrid renewable energy system that is feeding a new community located in Egypt. The hybrid system consists of three renewable energy sources, namely, solar PV cells, a wind turbines based-permanent magnet synchronous generator, and fuel cells. These three sources are tied to a common DC link by three boost converters, one for each source. The common DC link is connected to the AC side via a DC/AC inverter. The optimal size of the three proposed renewable sources is calculated using the HOMER software package. The DVR control is attained through regulating the load voltage at different anomalous working conditions. These conditions are three-phase fault, voltage sag/swell, and unbalanced loading. Two ANNs are utilized to adjust the IGBT pulses of the voltage source inverter (VSI) used to control DVR by regulating the D-Q axes voltage signals. These D-Q axes components at any loading condition represent the inputs to the two ANNs. The outputs of the two ANNs represent the IGBT pulses. The input/output data used for training ANNs are obtained by two optimized PI controllers, introduced for regulating the load voltage through DVR-VSI pulses at different abnormal operating conditions, and accordingly convert the static optimized PI controller into adaptive one based ANN. The system performance with the proposed ANN-DVR controller is enhanced through improving the current, voltage, and power waveforms of each generating source. With compensation of the faulty line voltage, the system retains an uninterrupted operation of the three renewable sources during fault events and consequently increases the low voltage ride through (LVRT) capability. Moreover, the total harmonic distortion is reduced.

ACS Style

Wael S. Hassanein; Marwa M. Ahmed; M. Osama Abed El-Raouf; Mohamed G. Ashmawy; Mohamed I. Mosaad. Performance improvement of off-grid hybrid renewable energy system using dynamic voltage restorer. Alexandria Engineering Journal 2020, 59, 1567 -1581.

AMA Style

Wael S. Hassanein, Marwa M. Ahmed, M. Osama Abed El-Raouf, Mohamed G. Ashmawy, Mohamed I. Mosaad. Performance improvement of off-grid hybrid renewable energy system using dynamic voltage restorer. Alexandria Engineering Journal. 2020; 59 (3):1567-1581.

Chicago/Turabian Style

Wael S. Hassanein; Marwa M. Ahmed; M. Osama Abed El-Raouf; Mohamed G. Ashmawy; Mohamed I. Mosaad. 2020. "Performance improvement of off-grid hybrid renewable energy system using dynamic voltage restorer." Alexandria Engineering Journal 59, no. 3: 1567-1581.

Research article
Published: 25 March 2020 in IET Generation, Transmission & Distribution
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Due to the low converters rating and cost of doubly fed induction generator (DFIG) along with its ability to function under variable wind speed, DFIG has been widely employed in wind energy conversion systems (WECSs). Unfortunately, the performance of DFIG is sensitive to the variation in the operating conditions and disturbance events at the grid side. This includes wind gust, voltage fluctuation and faults at the point of common coupling of the DFIG and the grid. In this study, a model-free adaptive control (MFAC) is developed for a unified power flow controller (UPFC) in order to improve the overall dynamic performance of a DFIG-based WECS during wind gusts and enhance the fault ride through capability of the DFIG during various disturbance events. The effective performance of the proposed controller is assessed through a comparison with a conventional proportional–integral (PI) controller optimised by a modified flower pollination algorithm. Results reveal the superiority of the proposed UPFC-MFAC technique over the conventional PI controller currently used in most of the UPFC-WECS applications.

ACS Style

Mohamed I. Mosaad; Ahmed Alenany; Ahmed Abu‐Siada. Enhancing the performance of wind energy conversion systems using unified power flow controller. IET Generation, Transmission & Distribution 2020, 14, 1922 -1929.

AMA Style

Mohamed I. Mosaad, Ahmed Alenany, Ahmed Abu‐Siada. Enhancing the performance of wind energy conversion systems using unified power flow controller. IET Generation, Transmission & Distribution. 2020; 14 (10):1922-1929.

Chicago/Turabian Style

Mohamed I. Mosaad; Ahmed Alenany; Ahmed Abu‐Siada. 2020. "Enhancing the performance of wind energy conversion systems using unified power flow controller." IET Generation, Transmission & Distribution 14, no. 10: 1922-1929.

Research article
Published: 11 February 2020 in IET Electric Power Applications
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This study introduces two fractional-order proportional–integral (FOPI) controllers optimised by harmony search (HS) optimisation algorithm, for direct power control of switched reluctance generator (SRG) through regulating the off-delay angle of the generator. These two proposed FOPI controllers aim at improving the integration of SRG into the wind energy conversion system (WECS) through two control modes. The two control modes are maximum power point tracking during healthy operation with wind speed variation and fault ride-through capability during faulty conditions. On the basis of the voltage magnitude at the point of common coupling between the SRG and grid, each mode, and consequently, the corresponding FOPI controller is activated. Comparison between FOPI controllers and classical PI controllers optimised by HS is introduced. Simulation results show the capability of the two modes of control proposed for improving the SRG-WECS performance in both healthy and faulty operating conditions with the superiority of FOPI controller over conventional PI controllers. An experimental platform is built to show the adequacy of the proposed FOPI controller of SRG.

ACS Style

Mohamed I. Mosaad. Direct power control of SRG‐based WECSs using optimised fractional‐order PI controller. IET Electric Power Applications 2020, 14, 409 -417.

AMA Style

Mohamed I. Mosaad. Direct power control of SRG‐based WECSs using optimised fractional‐order PI controller. IET Electric Power Applications. 2020; 14 (3):409-417.

Chicago/Turabian Style

Mohamed I. Mosaad. 2020. "Direct power control of SRG‐based WECSs using optimised fractional‐order PI controller." IET Electric Power Applications 14, no. 3: 409-417.

Research article
Published: 29 September 2019 in International Transactions on Electrical Energy Systems
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This paper investigates the interruption capability with the aid of a parallel capacitor branch and exploits the single current direction through a series thyristor with the DC system. Two DC current interruptions are introduced by providing superimposed oscillatory currents. The first one is that the capacitor branch (capacitor and inductor) is continuously connected in parallel with the system where the capacitor is charged from the system during the normal operation. Due to fault occurrence, the capacitor branch including an inductor produces an oscillatory current that can make zero crossing through the series thyristor. However, the interrupting current is unfortunately after the second oscillatory peak current that the fault resistance can damp the oscillatory current. By changing the charged capacitor polarity, the second breaking concept is introduced depending on a precharged capacitor by the system voltage and then injecting the oscillatory current using a self‐triggered additional thyristor. The current interruption initiation is attained using the DC current raising. The interruption performance is evaluated using a thyristor‐based converter DC system.

ACS Style

Ibrahim B.M. Taha; Mohamed I. Mosaad; Mohamed G. Ashmawy. Incorporating inductor‐capacitor branch for thyristor‐based DC fault current interruption. International Transactions on Electrical Energy Systems 2019, 30, 1 .

AMA Style

Ibrahim B.M. Taha, Mohamed I. Mosaad, Mohamed G. Ashmawy. Incorporating inductor‐capacitor branch for thyristor‐based DC fault current interruption. International Transactions on Electrical Energy Systems. 2019; 30 (2):1.

Chicago/Turabian Style

Ibrahim B.M. Taha; Mohamed I. Mosaad; Mohamed G. Ashmawy. 2019. "Incorporating inductor‐capacitor branch for thyristor‐based DC fault current interruption." International Transactions on Electrical Energy Systems 30, no. 2: 1.

Journal article
Published: 28 August 2019 in IEEE Transactions on Power Delivery
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Frequency response analysis (FRA) has become a widely accepted technique by worldwide utilities to detect winding and core deformations within power transformers. The main drawback of this technique is its reliance on the personnel level of expertise more than standard or automated codes. To establish reliable FRA interpretation codes, accurate high frequency transformer model that can emulate the frequency characteristics of real transformers in a wide frequency range is essential. The model can be used to investigate the impact of various winding and core deformations on the transformer FRA signature. The transformer equivalent high frequency electric circuit parameters can be calculated based on design data, which are rarely available, especially for old transformers. As such, this paper presents an artificial intelligence technique to estimate these parameters from the transformer FRA signature. The robustness of the proposed technique is assessed through its application on three, 3-phase power transformers of different ratings, sizes, and winding structures to estimate their high frequency electric circuit parameters during normal and fault conditions. Results show that the proposed technique can estimate equivalent circuit parameters with high accuracy and helps interpret the FRA signature based on the numerical changes of these parameters. The main advantage of this approach is the physical meaning of the model parameters facilitates reliable identification of various faults and hence aids in establishing reliable interpretation codes for transformer FRA signatures.

ACS Style

A. Abu-Siada; Mohamed I. Mosaad; Do Won Kim; Mohamed F. El-Naggar. Estimating Power Transformer High Frequency Model Parameters Using Frequency Response Analysis. IEEE Transactions on Power Delivery 2019, 35, 1267 -1277.

AMA Style

A. Abu-Siada, Mohamed I. Mosaad, Do Won Kim, Mohamed F. El-Naggar. Estimating Power Transformer High Frequency Model Parameters Using Frequency Response Analysis. IEEE Transactions on Power Delivery. 2019; 35 (3):1267-1277.

Chicago/Turabian Style

A. Abu-Siada; Mohamed I. Mosaad; Do Won Kim; Mohamed F. El-Naggar. 2019. "Estimating Power Transformer High Frequency Model Parameters Using Frequency Response Analysis." IEEE Transactions on Power Delivery 35, no. 3: 1267-1277.