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Prof. Dr. Mamdouh Abdel-Akher
Qassim University

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0 Distributed Generation
0 Distribution Systems
0 Renewable Energy Integration
0 Power systems analysis
0 Smartgrid

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Journal article
Published: 19 July 2021 in Applied Sciences
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The paper proposes a real-time model for electric vehicles (EVs) controlled load charging. The proposed demand-side management (DSM) of EVs is implemented based on queuing analysis with a nonhomogeneous arrival rate and charging service periods dataset. An electric vehicle model is used which is based on a statistical survey to represent the uncontrolled demand of the EVs. A probability distribution for the time at which EVs are plugged and the corresponding value of the state of charges (SOCs) are considered. The preferences of individual EVs have been fully exploited through a set of instructions to fulfill the needs of the vehicles’ owners. The designated preferences include the owner setting for both, charging price preferences (OPR), and the maximum estimated parking time duration (EPTD). The quasi-static time-series (QSTS) simulation is used to simulate real-time scenarios of the 24-h simulation period. The IEEE 123 nodes radial test feeder is analyzed with different daily load curves, EV charging scenarios, and wind power penetrations. The results show the effectiveness of the proposed DSM in avoiding excessive levels of charging with/without penetration of non-dispatchable wind power generation. The proposed DSM enables the EVs to charge with low tariff rates either at excessive renewable power generation or late evening hours with available committed bulk power plants and light loading conditions.

ACS Style

Ali Selim; Mamdouh Abdel-Akher; Salah Kamel; Francisco Jurado; Sulaiman Almohaimeed. Electric Vehicles Charging Management for Real-Time Pricing Considering the Preferences of Individual Vehicles. Applied Sciences 2021, 11, 6632 .

AMA Style

Ali Selim, Mamdouh Abdel-Akher, Salah Kamel, Francisco Jurado, Sulaiman Almohaimeed. Electric Vehicles Charging Management for Real-Time Pricing Considering the Preferences of Individual Vehicles. Applied Sciences. 2021; 11 (14):6632.

Chicago/Turabian Style

Ali Selim; Mamdouh Abdel-Akher; Salah Kamel; Francisco Jurado; Sulaiman Almohaimeed. 2021. "Electric Vehicles Charging Management for Real-Time Pricing Considering the Preferences of Individual Vehicles." Applied Sciences 11, no. 14: 6632.

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: 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: 10 December 2020 in Applied Sciences
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Large penetration of wind energy systems into electric-grids results in many power quality problems. This paper presents a classification of power quality issues, namely harmonics and short-duration voltage variation observed due to the integration of wind power. Additionally, different techniques and technologies to mitigate the effect of such issues are discussed. The paper highlights the current trends and future scopes in the improvement of the interconnection of wind energy conversion systems (WECSs) into the grid. As the voltage variation is the most severe power quality issue, case studies have been presented to investigate this problem using steady-state time-series simulations. The standard IEEE test system namely IEEE 123-node test feeder and IEEE 30-node grid are solved under different operating conditions with wind power penetration. Typical daily load profiles of a substation in Riyadh, Saudi Arabia, and an intermittent wind power generation profile are used in all case studies. Mitigation of voltage variations due to wind intermittency is achieved using reactive power compensation of the interface inverter. The results show the effectiveness of these approaches to avoid voltage variation and excessive tap setting movements of regulators and keep the voltage within the desired operating conditions.

ACS Style

Sulaiman A. Almohaimeed; Mamdouh Abdel-Akher. Power Quality Issues and Mitigation for Electric Grids with Wind Power Penetration. Applied Sciences 2020, 10, 8852 .

AMA Style

Sulaiman A. Almohaimeed, Mamdouh Abdel-Akher. Power Quality Issues and Mitigation for Electric Grids with Wind Power Penetration. Applied Sciences. 2020; 10 (24):8852.

Chicago/Turabian Style

Sulaiman A. Almohaimeed; Mamdouh Abdel-Akher. 2020. "Power Quality Issues and Mitigation for Electric Grids with Wind Power Penetration." Applied Sciences 10, no. 24: 8852.

Journal article
Published: 17 November 2020 in Journal of Renewable and Sustainable Energy
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ACS Style

Makoto Sugimura; Mahmoud M. Gamil; Homeyra Akter; Narayanan Krishna; Mamdouh Abdel-Akher; Paras Mandal; Tomonobu Senjyu. Optimal sizing and operation for microgrid with renewable energy considering two types demand response. Journal of Renewable and Sustainable Energy 2020, 12, 065901 .

AMA Style

Makoto Sugimura, Mahmoud M. Gamil, Homeyra Akter, Narayanan Krishna, Mamdouh Abdel-Akher, Paras Mandal, Tomonobu Senjyu. Optimal sizing and operation for microgrid with renewable energy considering two types demand response. Journal of Renewable and Sustainable Energy. 2020; 12 (6):065901.

Chicago/Turabian Style

Makoto Sugimura; Mahmoud M. Gamil; Homeyra Akter; Narayanan Krishna; Mamdouh Abdel-Akher; Paras Mandal; Tomonobu Senjyu. 2020. "Optimal sizing and operation for microgrid with renewable energy considering two types demand response." Journal of Renewable and Sustainable Energy 12, no. 6: 065901.

Research article
Published: 23 October 2020 in Alexandria Engineering Journal
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This paper mainly focuses on the optimal design of a grid-dependent and off-grid hybrid renewable energy system (RES). This system consists of Photovoltaic (PV), Wind Turbine (WT) as well as Fuel Cell (FC) with hydrogen gas tank for storing the energy in the chemical form. The optimal components sizes of the proposed hybrid generating system are achieved using a novel metaheuristic optimization technique. This optimization technique, called Improved Artificial Ecosystem Optimization (IAEO), is proposed for enhancing the performance of the conventional Artificial Ecosystem Optimization (AEO) algorithm. The IAEO improves the convergence trends of the original AEO, gives the best minimum objective function, reaches the optimal solution after a few iterations numbers as well as reduces the falling into the local optima. The proposed IAEO algorithm for solving the multiobjective optimization problem of minimizing the Cost of Energy (COE), the reliability index presented by the Loss of Power Supply Probability (LPSP), and excess energy under the constraints are considered. The hybrid system is suggested to be located in Ataka region, Suez Gulf (latitude 30.0, longitude 32.5), Egypt, and the whole lifetime of the suggested case study is 25 years. To ensure the accurateness, stability, and robustness of the proposed optimization algorithm, it is examined on six different configurations, representing on-grid and off-grid hybrid RES. For all the studied cases the proposed IAEO algorithm outperforms the original AEO and generates the minimum value of the fitness function in less execution time. Furthermore, comprehensive statistical measurements are demonstrated to prove the effectiveness of the proposed algorithm. Also, the results obtained by the conventional AEO and IAEO are compared with those obtained by several well-known optimization algorithms, Particle Swarm Optimization (PSO), Salp Swarm Algorithm (SSA), and Grey Wolf Optimizer (GWO). Based on the obtained simulation results, the proposed IAEO has the best performance among other algorithms and it has successfully positioned itself as a competitor to novel algorithms for tackling the most complicated engineering problems.

ACS Style

Hamdy M. Sultan; Ahmed S. Menesy; Salah Kamel; Ahmed Korashy; S.A. Almohaimeed; Mamdouh Abdel-Akher. An improved artificial ecosystem optimization algorithm for optimal configuration of a hybrid PV/WT/FC energy system. Alexandria Engineering Journal 2020, 60, 1001 -1025.

AMA Style

Hamdy M. Sultan, Ahmed S. Menesy, Salah Kamel, Ahmed Korashy, S.A. Almohaimeed, Mamdouh Abdel-Akher. An improved artificial ecosystem optimization algorithm for optimal configuration of a hybrid PV/WT/FC energy system. Alexandria Engineering Journal. 2020; 60 (1):1001-1025.

Chicago/Turabian Style

Hamdy M. Sultan; Ahmed S. Menesy; Salah Kamel; Ahmed Korashy; S.A. Almohaimeed; Mamdouh Abdel-Akher. 2020. "An improved artificial ecosystem optimization algorithm for optimal configuration of a hybrid PV/WT/FC energy system." Alexandria Engineering Journal 60, no. 1: 1001-1025.

Journal article
Published: 25 December 2019 in Energies
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In Japan, residents of apartments are generally contracted to receive low voltage electricity from electric utilities. In recent years, there has been an increasing number of high voltage batch power receiving contracts for condominiums. In this research, a high voltage batch receiving contractor introduces a demand–response in a low voltage power receiving contract, which maximizes the profit of a high voltage batch receiving contractor and minimizes the electricity charge of residents by utilizing battery storage, electric vehicles (EV), and heat pumps. A multi-objective optimization algorithm calculates a Pareto solution for the relationship between two objective trade-offs in the MATLAB ® environment.

ACS Style

Yuta Susowake; Hasan Masrur; Tetsuya Yabiku; Tomonobu Senjyu; Abdul Motin Howlader; Mamdouh Abdel-Akher; Ashraf M. Hemeida. A Multi-Objective Optimization Approach towards a Proposed Smart Apartment with Demand-Response in Japan. Energies 2019, 13, 127 .

AMA Style

Yuta Susowake, Hasan Masrur, Tetsuya Yabiku, Tomonobu Senjyu, Abdul Motin Howlader, Mamdouh Abdel-Akher, Ashraf M. Hemeida. A Multi-Objective Optimization Approach towards a Proposed Smart Apartment with Demand-Response in Japan. Energies. 2019; 13 (1):127.

Chicago/Turabian Style

Yuta Susowake; Hasan Masrur; Tetsuya Yabiku; Tomonobu Senjyu; Abdul Motin Howlader; Mamdouh Abdel-Akher; Ashraf M. Hemeida. 2019. "A Multi-Objective Optimization Approach towards a Proposed Smart Apartment with Demand-Response in Japan." Energies 13, no. 1: 127.

Journal article
Published: 13 September 2019 in Applied Sciences
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The need for energy and environmental sustainability has spurred investments in renewable energy technologies worldwide. However, the flexibility needs of the power system have increased due to the intermittent nature of the energy sources. This paper investigates the prospects of interlinking short-term flexibility value into long-term capacity planning towards achieving a microgrid with a high renewable energy fraction. Demand Response Programs (DRP) based on critical peak and time-ahead dynamic pricing are compared for effective demand-side flexibility management. The system components include PV, wind, and energy storages (ESS), and several optimal component-sizing scenarios are evaluated and compared using two different ESSs without and with the inclusion of DRP. To achieve this, a multi-objective problem which involves the simultaneous minimization of the loss of power supply probability (LPSP) index and total life-cycle costs is solved under each scenario to investigate the most cost-effective microgrid planning approach. The time-ahead resource forecast for DRP was implemented using the scikit-learn package in Python, and the optimization problems are solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm in MATLAB®. From the results, the inclusion of forecast-based DRP and PHES resulted in significant investment cost savings due to reduced system component sizing.

ACS Style

Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences 2019, 9, 3855 .

AMA Style

Mark Kipngetich Kiptoo, Oludamilare Bode Adewuyi, Mohammed Elsayed Lotfy, Tomonobu Senjyu, Paras Mandal, Mamdouh Abdel-Akher. Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management. Applied Sciences. 2019; 9 (18):3855.

Chicago/Turabian Style

Mark Kipngetich Kiptoo; Oludamilare Bode Adewuyi; Mohammed Elsayed Lotfy; Tomonobu Senjyu; Paras Mandal; Mamdouh Abdel-Akher. 2019. "Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management." Applied Sciences 9, no. 18: 3855.

Original paper
Published: 05 August 2019 in Electrical Engineering
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The intermittent behavior of wind power generation results in a fast variation of both frequency and voltage magnitudes of isolated microgrids with high wind power penetration. In this paper, a hybrid energy microgrid with wind energy conversion system (WECS) and diesel synchronous generators are analyzed during wind gust conditions. Superconducting magnetic energy storage (SMES) is connected at the same node of the WECS to mitigate the intermittent wind power generation. A developed fuzzy logic controller has been applied to achieve active power sharing. The damping of voltage fluctuation depends on SMES reactive power, which is controlled by a voltage source converter. The studied microgrid comprises 33 nodes, two diesel SGs, and two WECSs of squirrel cage induction generator type at 30% penetration level. The results demonstrate the effectiveness of the proposed control strategy to mitigate the frequency fluctuations during the wind speed gusts by smoothing power output from WECSs/SMES system. Moreover, voltage control is achieved by injecting reactive power from the SMES system. All simulations are performed by MATLAB/Simulink package.

ACS Style

Hossam S. Salama; Mohamed M. Aly; Mamdouh Abdel-Akher; I. Vokony. Frequency and voltage control of microgrid with high WECS penetration during wind gusts using superconducting magnetic energy storage. Electrical Engineering 2019, 101, 771 -786.

AMA Style

Hossam S. Salama, Mohamed M. Aly, Mamdouh Abdel-Akher, I. Vokony. Frequency and voltage control of microgrid with high WECS penetration during wind gusts using superconducting magnetic energy storage. Electrical Engineering. 2019; 101 (3):771-786.

Chicago/Turabian Style

Hossam S. Salama; Mohamed M. Aly; Mamdouh Abdel-Akher; I. Vokony. 2019. "Frequency and voltage control of microgrid with high WECS penetration during wind gusts using superconducting magnetic energy storage." Electrical Engineering 101, no. 3: 771-786.

Research article
Published: 31 July 2018 in International Transactions on Electrical Energy Systems
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The paper develops a method for solving time‐series power flow for unbalanced distribution power systems equipped with on‐load tap changer and photovoltaic (PV) power generation. The proposed PV control is developed using a fuzzy logic controller. When the reactive power of the PV inverter is not enough, tap‐up or tap‐down signals are sent to the on‐load tap changer to control the voltage. The Lagrange function is implemented to predict the initial values of voltage magnitudes and phase angles during the simulation process. These initial values are corrected using power flow routine that adopts the forward/backward analysis method. The IEEE‐123 node test feeder is used to assess the validity of the developed continuous power flow solution. The results are compared with the traditional quasi‐static time‐series solution without prediction scheme. The simulation results prove that the developed time‐series model has superior performance. The effects of PV penetration and voltage regulator on the method performance and tap setting are also investigated.

ACS Style

Ali Selim; Mamdouh Abdel-Akher; Mohamed M. Aly; Salah Kamel; Tomonobu Senjyu. Fast quasi-static time-series analysis and reactive power control of unbalanced distribution systems. International Transactions on Electrical Energy Systems 2018, 29, e2673 .

AMA Style

Ali Selim, Mamdouh Abdel-Akher, Mohamed M. Aly, Salah Kamel, Tomonobu Senjyu. Fast quasi-static time-series analysis and reactive power control of unbalanced distribution systems. International Transactions on Electrical Energy Systems. 2018; 29 (1):e2673.

Chicago/Turabian Style

Ali Selim; Mamdouh Abdel-Akher; Mohamed M. Aly; Salah Kamel; Tomonobu Senjyu. 2018. "Fast quasi-static time-series analysis and reactive power control of unbalanced distribution systems." International Transactions on Electrical Energy Systems 29, no. 1: e2673.

Conference paper
Published: 01 December 2017 in 2017 Nineteenth International Middle East Power Systems Conference (MEPCON)
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In this paper, a comprehensive model of the IEEE 13-node power distribution system is modeled and simulated according to the governing differential equations of the system. The unbalanced nature and mutual coupling of the system are considered. Moreover, different types of loads such as concentrated, distributed loads and capacitor banks are taken into consideration. Various case studies of variable R/X ratio for line branches as well as load factor are investigated. The solution of the power distribution system is compared to a power-flow program and the results are verified with an acceptable range under different R/X and load factor ratios. It is found that the maximum voltage percentage error is less than 1% between the proposed solution and the forward/backward power flow solution. Moreover, the greatest phase error is found to be less than one degree between the two solutions. In general, the maximum voltage percentage error increases with increasing the R/X ratio or load factor.

ACS Style

Ahmad Eid; Mamdouh Abdel-Akher. Modeling and simulation of unbalanced distribution systems for time-domain analysis under different operating conditions. 2017 Nineteenth International Middle East Power Systems Conference (MEPCON) 2017, 477 -483.

AMA Style

Ahmad Eid, Mamdouh Abdel-Akher. Modeling and simulation of unbalanced distribution systems for time-domain analysis under different operating conditions. 2017 Nineteenth International Middle East Power Systems Conference (MEPCON). 2017; ():477-483.

Chicago/Turabian Style

Ahmad Eid; Mamdouh Abdel-Akher. 2017. "Modeling and simulation of unbalanced distribution systems for time-domain analysis under different operating conditions." 2017 Nineteenth International Middle East Power Systems Conference (MEPCON) , no. : 477-483.

Article
Published: 18 July 2017 in International Transactions on Electrical Energy Systems
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In this paper, a developed voltage control method for distributed single-phase photovoltaic (PV) generators in unbalanced distribution networks is proposed. The reactive power capability of the PV inverters has been used to regulate bus voltages during irradiance or load variations. The amount of the reactive power required to optimize phase voltages is calculated using fuzzy logic control function, and hence, the power factor is precisely determined. The proposed control for the PV inverters is based on the dq-current control to regulate the DC bus voltage and the amount of the reactive power. A hysteresis current control is used as a pulse width modulation gate generator. The proposed control precisely determines the amount of the required reactive power to regulate the system bus voltages to lie within standard limits. The efficiency of the proposed control is evaluated with a 10-node, 5 kV/phase unbalanced three phase distribution system. The analysis includes different test cases under transient and steady state operations to ensure accurate representation of the actual system. The obtained results assess the quality of the network voltages of the studied system regarding voltage levels and the degree of the unbalance. Moreover, the proposed control is capable of operation under different power factors of the PV inverter.

ACS Style

Ahmad Eid; Mamdouh Abdel-Akher. Voltage control of unbalanced three-phase networks using reactive power capability of distributed single-phase PV generators. International Transactions on Electrical Energy Systems 2017, 27, e2394 .

AMA Style

Ahmad Eid, Mamdouh Abdel-Akher. Voltage control of unbalanced three-phase networks using reactive power capability of distributed single-phase PV generators. International Transactions on Electrical Energy Systems. 2017; 27 (11):e2394.

Chicago/Turabian Style

Ahmad Eid; Mamdouh Abdel-Akher. 2017. "Voltage control of unbalanced three-phase networks using reactive power capability of distributed single-phase PV generators." International Transactions on Electrical Energy Systems 27, no. 11: e2394.

Journal article
Published: 30 June 2017 in International Review of Electrical Engineering (IREE)
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In-line with smart-grid developments, the need for performing lengthy time domain simulations with intermittent power generation as well as the associated control is crucial. Due to complexity and integrity of practical power systems, it is not practical to analyze them using exact time domain models. In this paper, a new method using quasi-static time-series (QSTS) concept is developed to achieve such simulations. The method assumes transition from one steady-state solution to another during the simulated time frame. The application of this methodology in transmission systems requires optimized control models to be included with the core power-flow engine. Classical power-flow is formulated to account for frequency variation during simulation. Hence, frequency has been introduced as a state variable to account for load frequency control (LFC). Fast economic dispatch (ED), based on loss formula, is integrated to ensure optimized energy supply during the simulation. In a narrow time-frame, between ED and LFC action, participation factors have been incorporated to allocate the small variations of demand among generating units. Wind power penetration is considered with 30% of the energy generation. Numerical results of a day-ahead load curve and wind power profile have been analyzed in a scenario of congested transmission system. The results show the effect of wind power variation in both frequency and other generating units. Moreover, the wind intermittency results in severe fluctuations in system frequency. Copyright © 2017 Praise Worthy Prize - All rights reserved.

ACS Style

Mohamed Abdel-Warth; Mamdouh Abdel-Akher; Mohamed M. Aly; Ahmad Eid. Quasi-Static Time-Series Analysis of Congested Transmission Networks with Intermittent Wind Power Penetration. International Review of Electrical Engineering (IREE) 2017, 12, 237 .

AMA Style

Mohamed Abdel-Warth, Mamdouh Abdel-Akher, Mohamed M. Aly, Ahmad Eid. Quasi-Static Time-Series Analysis of Congested Transmission Networks with Intermittent Wind Power Penetration. International Review of Electrical Engineering (IREE). 2017; 12 (3):237.

Chicago/Turabian Style

Mohamed Abdel-Warth; Mamdouh Abdel-Akher; Mohamed M. Aly; Ahmad Eid. 2017. "Quasi-Static Time-Series Analysis of Congested Transmission Networks with Intermittent Wind Power Penetration." International Review of Electrical Engineering (IREE) 12, no. 3: 237.

Journal article
Published: 10 March 2017 in International Journal of Emerging Electric Power Systems
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This paper presents a new technique for a controlled charging/discharging of the PHEV’s battery considering the network status on a real-time basis. A control strategy is developed to secure the operation of power system irrespective of the number of vehicles and their connection place. The proposed control strategy utilizes an improved normalized steady-state voltage stability index that is easy to compute in the distribution management systems. A fuzzy logic controller (FLC) is used for evaluating the battery level of charging/discharging of individual PHEV connected to the distribution network. The controller is a part of the smart charger which uses the battery state of charge and the stability index as input variables. Based on the FLC output, the interface converter of a PHEV decides the desired charging/discharging levels of the battery. The developed controller ensures the secure operation of the distribution system during charging since only empty batteries will have a high priority to charge. A time domain, as well as 24-hour time-series simulations, are used to test the proposed control method. The results show that the developed control method guarantees secure operation, whatever the number and location of PHEVs connected to the studied system.

ACS Style

Mamdouh Abdel-Akher; Ahmad Eid; Abdelfatah Ali. Effective Demand Side Scheme for PHEVs Operation Considering Voltage Stability of Power Distribution Systems. International Journal of Emerging Electric Power Systems 2017, 18, 1 .

AMA Style

Mamdouh Abdel-Akher, Ahmad Eid, Abdelfatah Ali. Effective Demand Side Scheme for PHEVs Operation Considering Voltage Stability of Power Distribution Systems. International Journal of Emerging Electric Power Systems. 2017; 18 (2):1.

Chicago/Turabian Style

Mamdouh Abdel-Akher; Ahmad Eid; Abdelfatah Ali. 2017. "Effective Demand Side Scheme for PHEVs Operation Considering Voltage Stability of Power Distribution Systems." International Journal of Emerging Electric Power Systems 18, no. 2: 1.

Conference paper
Published: 02 February 2017 in 2016 Eighteenth International Middle East Power Systems Conference (MEPCON)
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This paper presents a control strategy for plug-in hybrid electrical vehicles (PHEVs) demand in power distribution systems to control the peak load due to PHEVs charging. The stochastic nature for both instants of start charging time and the initial state of charge (SOC) are fully exploited to model the intermittent demand nature in future smart grids. The appropriate control methodology adopted in this work is the decentralized control. Each power conditioning unit (PCU) interface of PHEV charger extracts control variable from the grid and the PHEV internal state, then considers a proper smart action. The developed control method uses the real-time electricity tariff rate, maximum time permit of the vehicle plugged in, and the initial state of each vehicle's battery as control variables. To achieve such control, a fuzzy logic controller (FLC) is designed to work with the PCU of each vehicle charger. The analysis of the developed control method is performed using accelerated quasi-static time-series (QSTS) power-flow method. The QSTS utilizes the Lagrange polynomial function as an accelerator for the forward/backward power-flow method. Extensive simulations of the unbalanced three-phase IEEE 123-node radial feeder are carried out with a combination of commercial, industrial, residential daily demands, and PHEVs penetration at different electricity rates. The results show the effectiveness of the developed control strategy in dynamic peak shaving at various scenarios as well as the superior performance of the developed accelerated quasi-static time-series power-flow method.

ACS Style

Ali Selim; Mamdouh Abdel-Akher; Mohamed M. Aly. Plug-in hybrid electric vehicles aggregation and real-time active power control simulation analysis in distribution systems. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) 2017, 723 -728.

AMA Style

Ali Selim, Mamdouh Abdel-Akher, Mohamed M. Aly. Plug-in hybrid electric vehicles aggregation and real-time active power control simulation analysis in distribution systems. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON). 2017; ():723-728.

Chicago/Turabian Style

Ali Selim; Mamdouh Abdel-Akher; Mohamed M. Aly. 2017. "Plug-in hybrid electric vehicles aggregation and real-time active power control simulation analysis in distribution systems." 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) , no. : 723-728.

Conference paper
Published: 02 February 2017 in 2016 Eighteenth International Middle East Power Systems Conference (MEPCON)
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Large penetration of wind power in congested and weak power networks could lead to severe problems due to variation in wind speed. Hence, severe voltage and frequency fluctuations occur due to fast intermittent power generation. In this work, quasi-static models have been implemented to investigate the effect of wind power variations on classical power generation as well as network frequency. Probabilistic PHEVs models are deployed to absorb wind power fluctuations and improve system frequency response. The developed control strategy for PHEVs demand management is integrated with existing control infrastructure on both power plant and center control levels. The developed control reduces frequency fluctuations due to fast wind power transients and guarantees charging of the PHEVs plugged into the system by the end of their connection period. The developed quasi-static time-series (QSTS) simulation model accounts for primary control, optimized unit participation, and economic dispatch. The frequency is represented as state variable whereas the continuous power-flow is solved using Gauss-Seidel method. PHEVs are aggregated through the network based on probabilistic distribution of both traveling distance and parking time. The results calculated for the IEEE 30-bus shows that integration of PHEVs with wind power energy systems improves the system frequency response and provide fast and dynamic power supply in case of power shortcoming along the day.

ACS Style

Mohamed A. Abdel-Warth; Mamdouh Abdel-Akher; Ahmad Eid; Mohamed M. Aly. Deployment and control of PHEVs in electrical power systems with wind power penetration. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) 2017, 735 -740.

AMA Style

Mohamed A. Abdel-Warth, Mamdouh Abdel-Akher, Ahmad Eid, Mohamed M. Aly. Deployment and control of PHEVs in electrical power systems with wind power penetration. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON). 2017; ():735-740.

Chicago/Turabian Style

Mohamed A. Abdel-Warth; Mamdouh Abdel-Akher; Ahmad Eid; Mohamed M. Aly. 2017. "Deployment and control of PHEVs in electrical power systems with wind power penetration." 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) , no. : 735-740.

Journal article
Published: 01 January 2017 in DYNA NEW TECHNOLOGIES
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ACS Style

Francisco Jurado Melguizo; Salah Kamel; Mamdouh Abdel Akher. FLUJO DE CARGAS NEWTON-RAPHSON CON INYECCION DE CORRIENTE BASADO EN MATRICES DISPERSAS. DYNA NEW TECHNOLOGIES 2017, 4, [9 p.] -[9 p.].

AMA Style

Francisco Jurado Melguizo, Salah Kamel, Mamdouh Abdel Akher. FLUJO DE CARGAS NEWTON-RAPHSON CON INYECCION DE CORRIENTE BASADO EN MATRICES DISPERSAS. DYNA NEW TECHNOLOGIES. 2017; 4 (1):[9 p.]-[9 p.].

Chicago/Turabian Style

Francisco Jurado Melguizo; Salah Kamel; Mamdouh Abdel Akher. 2017. "FLUJO DE CARGAS NEWTON-RAPHSON CON INYECCION DE CORRIENTE BASADO EN MATRICES DISPERSAS." DYNA NEW TECHNOLOGIES 4, no. 1: [9 p.]-[9 p.].

Conference paper
Published: 01 December 2016 in 2016 Eighteenth International Middle East Power Systems Conference (MEPCON)
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This paper presents an approach for solving the time-series simulation (TSS) for three-phase unbalanced distribution systems with voltage regulator control and photovoltaic (PV) generation. Efficient time-series simulation approach based on Lagrange polynomial approximation is developed to decrease the execution time and enhance the convergence characteristics. The formulation is developed to find efficient initial values for voltage magnitudes and phase angles corresponding to load variations during the day. These initial values of voltage magnitudes and phase angles are calculated from the variations of reactive and active powers, respectively. The predicted values are updated using forward/backward sweep power-flow engine. A line drop compensator (LDC) is used to regulate the voltage by modelling the drop of transmission line from the transformer to the load center. In addition, the effect of PV penetration on tap setting, to regulate the voltage magnitude, is investigated. The developed TSS technique with voltage regulator and PV generation are validated using the standard three-phase unbalanced IEEE 123-node. The developed technique is compared with the traditional method that uses the previous voltage magnitudes and phase angles as initial values. The obtained results prove the effectiveness of the developed TSS in reducing both of the number of iterations and execution time compared to the traditional method.

ACS Style

Ali Selim; Mamdouh Abdel-Akher; Mohamed M. Aly; Salah Kamel. Efficient time series simulation of distribution systems with voltage regulation and PV penetration. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) 2016, 717 -722.

AMA Style

Ali Selim, Mamdouh Abdel-Akher, Mohamed M. Aly, Salah Kamel. Efficient time series simulation of distribution systems with voltage regulation and PV penetration. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON). 2016; ():717-722.

Chicago/Turabian Style

Ali Selim; Mamdouh Abdel-Akher; Mohamed M. Aly; Salah Kamel. 2016. "Efficient time series simulation of distribution systems with voltage regulation and PV penetration." 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) , no. : 717-722.

Conference paper
Published: 01 December 2016 in 2016 Eighteenth International Middle East Power Systems Conference (MEPCON)
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This paper proposes a solution to voltage rise and/or sag in single-phase unbalanced distribution systems using photovoltaic (PV) arrays with reactive power capability. The PV is controlled to inject maximum power using Maximum Power Point Tracker (MPPT) to supply local loads when the solar power is available. The reactive power capability of the PV inverters regulates the bus voltages in transient conditions due to irradiance variations or load changes to be within standard limits. A combined control algorithm of dq-current control with hysteresis current control (HCC) capability regulates the inverter current at different power factors according to the voltage value. The inverter reactive power supplied/consumed to/from the grid is calculated using fuzzy logic control (FLC) function. The control algorithm dq/FLC/HCC is tested with a 10-node unbalanced distribution system under various case-studies of solar irradiance variations and step-change of system loads. The obtained results clearly justify the proposed control in maintaining the bus voltages within standard limits in both transient and steady-state conditions.

ACS Style

Ahmad Eid; Mamdouh Abdel-Akher. Voltage/var control of unbalanced distribution systems equipped with distributed single-phase PV generators. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) 2016, 453 -460.

AMA Style

Ahmad Eid, Mamdouh Abdel-Akher. Voltage/var control of unbalanced distribution systems equipped with distributed single-phase PV generators. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON). 2016; ():453-460.

Chicago/Turabian Style

Ahmad Eid; Mamdouh Abdel-Akher. 2016. "Voltage/var control of unbalanced distribution systems equipped with distributed single-phase PV generators." 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) , no. : 453-460.

Journal article
Published: 01 December 2016 in International Journal of Electrical Power & Energy Systems
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The fast variations of wind speed during extreme wind gusts result in fluctuations in both generated power and the voltage of power systems connected to wind energy conversion system (WECS). This paper presents a control strategy which has been tested out using two scenarios of wind gusts. The strategy is based on active and reactive powers controls of superconducting magnetic energy storage (SMES). The WECS includes squirrel cage induction generator (SCIG) with shunt connected capacitor bank to improve the power factor. The SMES system consists of step down transformer, power conditioning unit, DC–DC chopper, and large inductance superconducting coil. The WECS and SMES are connected at the point of common coupling (PCC). Fuzzy logic controller (FLC) is used with the DC–DC chopper to control the power transfer between the grid and SMES coil. The FLC is designed so that the SMES can absorb/deliver active power from/to the power system. Moreover, reactive power is controlled to regulate the voltage profile of PCC. Two inputs are applied to the FLC; the wind speed and SMES current to control the amount active and reactive power generated by SMES. The proposed strategy is simulated in MATLAB/Simulink®. The proposed control strategy of SMES is robust, as it successfully controlled the PCC voltage, active and reactive powers during normal wind speeds and for different scenarios of wind gusts. The PCC voltage was regulated at 1.0 pu for the two studied scenarios of wind gusts. The fluctuation ranges of real power delivered to the grid were decreased by 53.1% for Scenario #1 and 56.53% for Scenario #2. The average reactive power supplied by the grid to the wind farm were decreased by 27.45% for Scenario #1 and 31.13% for Scenario #2.

ACS Style

Mohamed M. Aly; Mamdouh Abdel-Akher; Sayed M. Said; Tomonobu Senjyu. A developed control strategy for mitigating wind power generation transients using superconducting magnetic energy storage with reactive power support. International Journal of Electrical Power & Energy Systems 2016, 83, 485 -494.

AMA Style

Mohamed M. Aly, Mamdouh Abdel-Akher, Sayed M. Said, Tomonobu Senjyu. A developed control strategy for mitigating wind power generation transients using superconducting magnetic energy storage with reactive power support. International Journal of Electrical Power & Energy Systems. 2016; 83 ():485-494.

Chicago/Turabian Style

Mohamed M. Aly; Mamdouh Abdel-Akher; Sayed M. Said; Tomonobu Senjyu. 2016. "A developed control strategy for mitigating wind power generation transients using superconducting magnetic energy storage with reactive power support." International Journal of Electrical Power & Energy Systems 83, no. : 485-494.