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Prof. Dr. Ahmad Eid
Aswan University

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Research Keywords & Expertise

0 Aircraft Analysis
0 Distribution Analysis
0 Smart Grid
0 Power System Analysis and Simulation
0 Renewable and Sustainable Energy

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Conference paper
Published: 26 June 2021 in Sustainable Smart Cities and Territories
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This paper presents the optimal allocation of the distributed generations (DGs) into the distribution networks (DNs) using the Archimedes Optimization Algorithm (AOA). The AOA optimizes three DGs operating at unity power factor representing the PV renewable energy sources (RES). The standard 33-bus DN is used as a test system to verify the AOA’s effectiveness in both single-objective and multi-objective optimizations. In addition to the overall power loss elimination, the total voltage deviation (TVD) of the DN is reduced by the optimum allocation of three DGs. In multi-objective optimization, the Pareto Optimal Front (POF) method is adopted to determine the non-dominated solutions. A fuzzy linear function decides the Best Compromise Solution (BCS) between the points set by the POF. The AOA’s obtained results in both single and multi-objective optimizations are compared to the Particle Swarm Optimization (PSO) and Atom Search Optimization (ASO) algorithms. The three algorithms are effective in solving the optimization problem or both single and multiple dimensions. Moreover, the AOA outperforms the ASO and PSO algorithms in different case studies.

ACS Style

Ahmad Eid; Hassan El-Kishky. Multi-objective Archimedes Optimization Algorithm for Optimal Allocation of Renewable Energy Sources in Distribution Networks. Sustainable Smart Cities and Territories 2021, 65 -75.

AMA Style

Ahmad Eid, Hassan El-Kishky. Multi-objective Archimedes Optimization Algorithm for Optimal Allocation of Renewable Energy Sources in Distribution Networks. Sustainable Smart Cities and Territories. 2021; ():65-75.

Chicago/Turabian Style

Ahmad Eid; Hassan El-Kishky. 2021. "Multi-objective Archimedes Optimization Algorithm for Optimal Allocation of Renewable Energy Sources in Distribution Networks." Sustainable Smart Cities and Territories , no. : 65-75.

Journal article
Published: 19 May 2021 in Expert Systems with Applications
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In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch (EED) problems considering valve point effect. ISMA is developed to improve the performance of the conventional Slime Mould Algorithm (SMA). In ISMA, the solution positions are updated depending on two equations borrowed from the sine–cosine algorithm (SCA) to obtain the best solution. Multi-objective SMA (MOSMA) and Multi-objective ISMA (MOISMA) are developed based on the Pareto dominance concept and fuzzy decision-making. In the multi-objective EED problem, MOSMA and MOISMA are applied to minimize the total fuel costs and total emission with the valve point effect simultaneously. The proposed single-and bi-objective economic emission dispatch algorithms are validated using five test systems, 6-units, 10-units, 11-units, 40-units, and 110-units. The performance of the proposed algorithm is compared with Harris Hawk Optimizer (HHO), Jellyfish Search optimizer (JS), Tunicate Swarm Algorithm (TSA), Particle swarm optimization (PSO), and SMA algorithms. The results show that the proposed algorithms are more robust than other well-known algorithms. Feasible solutions using the proposed algorithms are also achieved, which adjust the schedule of generation without violation of the operating generation limits.

ACS Style

Mohamed H. Hassan; Salah Kamel; Laith Abualigah; Ahmad Eid. Development and application of slime mould algorithm for optimal economic emission dispatch. Expert Systems with Applications 2021, 182, 115205 .

AMA Style

Mohamed H. Hassan, Salah Kamel, Laith Abualigah, Ahmad Eid. Development and application of slime mould algorithm for optimal economic emission dispatch. Expert Systems with Applications. 2021; 182 ():115205.

Chicago/Turabian Style

Mohamed H. Hassan; Salah Kamel; Laith Abualigah; Ahmad Eid. 2021. "Development and application of slime mould algorithm for optimal economic emission dispatch." Expert Systems with Applications 182, no. : 115205.

Original article
Published: 12 May 2021 in Neural Computing and Applications
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The principal motivation of the marine predators algorithm (MPA) is the common foraging technique, including Lévy and Brownian motions in ocean predators coupled with optimal contact intensity policy in predator–prey biological interaction. This paper proposes an improved marine predators algorithm (IMPA), which is an extension of the original MPA. The suggested improvements lead to rapid convergence and avoid local minima stagnation for the original MPA. IMPA controls the active and reactive power injected into distribution systems to minimize the total system losses and the total voltage deviations and maximize the voltage stability and improve the distribution system's overall performance. On the one hand, the proposed IMPA determines the optimal location and active power (location and size, respectively) of distributed generation (DG). On the other hand, the IMPA controls reactive power by optimally placing and sizing the shunt capacitors (SCs) and determining the PF of DGs. Two standard test systems, 69-bus and 118-bus distribution networks, are considered to prove the proposed algorithm’s efficiency and scalability. Results of the proposed IMPA are compared with those obtained by MPA, AEO, and PSO algorithms. The findings of the simulation results demonstrate that the proposed IMPA can effectively find the optimal problem solutions and beats the other algorithms. Moreover, the framework of multi-objective IMPA outperforms based on MPA in terms of the performance measures of diversity, spacing, coverage, and hypervolume.

ACS Style

Ahmad Eid; Salah Kamel; Laith Abualigah. Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks. Neural Computing and Applications 2021, 1 -29.

AMA Style

Ahmad Eid, Salah Kamel, Laith Abualigah. Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks. Neural Computing and Applications. 2021; ():1-29.

Chicago/Turabian Style

Ahmad Eid; Salah Kamel; Laith Abualigah. 2021. "Marine predators algorithm for optimal allocation of active and reactive power resources in distribution networks." Neural Computing and Applications , no. : 1-29.

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 September 2020 in Alexandria Engineering Journal
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In this paper, two metaheuristic techniques are used for optimal allocation of Distributed Generations (DGs) to reduce the power losses in Radial Distribution Systems (RDS). These techniques are the adaptive Particle Swarm Optimization (APSO) and the modified Gravitational Search Algorithm (MGSA). Single, as well as multiple DGs, are optimized for the optimal size and site with unity- and optimal-PFs. Besides the reduction of power losses, the voltage stability and the total voltage deviation are considered as a multi-objective optimization (MOO) problem. For MOO operation, Pareto-optimal solution, aggregated sum, and ε-constrained techniques are used for determining the DG optimal size and site. The proposed algorithms have been applied to different RDSs, including the IEEE 69-bus and the 85-bus systems. The obtained results are matched favorably with those in the literature. The operation of the DG at optimal-PF is more effective than the UPF in the reduction of power losses. Besides, installing more DGs results in better performance of the systems. The MGSA and APSO algorithms, they are compared to the AEO algorithm according to different performance metrics. The results show that the MGSA and APSO outperform the AEO algorithm. Moreover, the obtained results are significantly approved by using a t-test.

ACS Style

Ahmad Eid. Allocation of distributed generations in radial distribution systems using adaptive PSO and modified GSA multi-objective optimizations. Alexandria Engineering Journal 2020, 59, 4771 -4786.

AMA Style

Ahmad Eid. Allocation of distributed generations in radial distribution systems using adaptive PSO and modified GSA multi-objective optimizations. Alexandria Engineering Journal. 2020; 59 (6):4771-4786.

Chicago/Turabian Style

Ahmad Eid. 2020. "Allocation of distributed generations in radial distribution systems using adaptive PSO and modified GSA multi-objective optimizations." Alexandria Engineering Journal 59, no. 6: 4771-4786.

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.

Journal article
Published: 28 February 2017 in International Review of Aerospace Engineering (IREASE)
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ACS Style

Ahmad Eid; Reyad Abdel-Fadil; Mazen Abdel-Salam. Performance and Power Quality Improvements of MEA Power Distribution Systems using Model Predictive Control. International Review of Aerospace Engineering (IREASE) 2017, 10, 31 .

AMA Style

Ahmad Eid, Reyad Abdel-Fadil, Mazen Abdel-Salam. Performance and Power Quality Improvements of MEA Power Distribution Systems using Model Predictive Control. International Review of Aerospace Engineering (IREASE). 2017; 10 (1):31.

Chicago/Turabian Style

Ahmad Eid; Reyad Abdel-Fadil; Mazen Abdel-Salam. 2017. "Performance and Power Quality Improvements of MEA Power Distribution Systems using Model Predictive Control." International Review of Aerospace Engineering (IREASE) 10, no. 1: 31.

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.

Conference paper
Published: 02 February 2017 in 2016 Eighteenth International Middle East Power Systems Conference (MEPCON)
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The More-Electric Aircraft (MEA) technology has become a leading trend for the new generation aircrafts. The electrical power sources inside the aircraft can be of many types as AC, DC or hybrid, in addition to, variable voltage and frequency mains. To maintain the aircraft system stability and availability of different sources, efficient control techniques become necessary. In this paper, a complete distribution system of aircraft is modeled and controlled using Model Predictive Control (MPC). The MPC possesses a fast response to dynamic and transient changes as well as the ability to deal with multivariable and constrains applied to inputs and states. The studied aircraft system is investigated during transient condition of severe step-load changes (from no-load to full-load) and during fault scenarios. The MPC control takes into consideration the verification of aircraft standards during transient and fault conditions for the AC and DC voltages at the main buses of the aircraft distribution system. The obtained results verify the capability and efficiency of MPC control method for the variable-frequency aircraft distribution systems during severe conditions of large step-load and fault scenarios.

ACS Style

Ahmad Eid; Reyad Abdel-Fadil; Mazen Abdel-Salam. Investigation of MEA power system under step-load and fault conditions using MPC. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) 2017, 560 -566.

AMA Style

Ahmad Eid, Reyad Abdel-Fadil, Mazen Abdel-Salam. Investigation of MEA power system under step-load and fault conditions using MPC. 2016 Eighteenth International Middle East Power Systems Conference (MEPCON). 2017; ():560-566.

Chicago/Turabian Style

Ahmad Eid; Reyad Abdel-Fadil; Mazen Abdel-Salam. 2017. "Investigation of MEA power system under step-load and fault conditions using MPC." 2016 Eighteenth International Middle East Power Systems Conference (MEPCON) , no. : 560-566.

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.

Conference paper
Published: 01 December 2014 in 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)
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In this paper, a modern civil Aircraft Electrical Power System (AEPS) is modeled, analyzed and controlled using Fuzzy Logic Control (FLC) technique. The FLC control provides a certain behavior for the AEPS during load switching to meet the military standards of the aircraft. FLC control technique used for Generator Control Unit (GCU), AC-DC Controlled rectifier, AC-AC inverter and DC-DC Converter. With this control, the voltage at the main buses (variable frequency bus -270VDC bus - 28VDC bus-constant frequency bus) lies within standard limits at transient and steady state conditions. At the other hand, the generator frequency lies within standard limits for all the frequency operating range of 400-800Hz. The AEPS is tested using a simulation model in PSIM and the obtained results verify that the FLC is an efficient control technique for the variable frequency aircraft systems.

ACS Style

Reyad Abdel-Fadil; Ahmad Eid; Mazen Abdel-Salam. Fuzzy logic control of modern aircraft electrical power system during transient and steady-state operating conditions. 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) 2014, 1 -6.

AMA Style

Reyad Abdel-Fadil, Ahmad Eid, Mazen Abdel-Salam. Fuzzy logic control of modern aircraft electrical power system during transient and steady-state operating conditions. 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). 2014; ():1-6.

Chicago/Turabian Style

Reyad Abdel-Fadil; Ahmad Eid; Mazen Abdel-Salam. 2014. "Fuzzy logic control of modern aircraft electrical power system during transient and steady-state operating conditions." 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES) , no. : 1-6.

Journal article
Published: 01 November 2014 in International Journal of Electrical Power & Energy Systems
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ACS Style

Ahmad Eid. Utility integration of PV-wind-fuel cell hybrid distributed generation systems under variable load demands. International Journal of Electrical Power & Energy Systems 2014, 62, 689 -699.

AMA Style

Ahmad Eid. Utility integration of PV-wind-fuel cell hybrid distributed generation systems under variable load demands. International Journal of Electrical Power & Energy Systems. 2014; 62 ():689-699.

Chicago/Turabian Style

Ahmad Eid. 2014. "Utility integration of PV-wind-fuel cell hybrid distributed generation systems under variable load demands." International Journal of Electrical Power & Energy Systems 62, no. : 689-699.

Journal article
Published: 05 June 2014 in Journal of Technology Innovations in Renewable Energy
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Wind Turbine and Photovoltaic Hybrid Generations under Extreme Operating Gust

ACS Style

Ahmad Eid; Mamdouh Abdel-AkherMamdouh Abdel-Akher. Wind Turbine and Photovoltaic Hybrid Generations under Extreme Operating Gust. Journal of Technology Innovations in Renewable Energy 2014, 3, 77 -84.

AMA Style

Ahmad Eid, Mamdouh Abdel-AkherMamdouh Abdel-Akher. Wind Turbine and Photovoltaic Hybrid Generations under Extreme Operating Gust. Journal of Technology Innovations in Renewable Energy. 2014; 3 (2):77-84.

Chicago/Turabian Style

Ahmad Eid; Mamdouh Abdel-AkherMamdouh Abdel-Akher. 2014. "Wind Turbine and Photovoltaic Hybrid Generations under Extreme Operating Gust." Journal of Technology Innovations in Renewable Energy 3, no. 2: 77-84.

Conference paper
Published: 01 May 2014 in 2014 16th International Conference on Harmonics and Quality of Power (ICHQP)
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In this paper, demand response concept has been exploited to control the real time charging of plug-in hybrid electric vehicles. A developed voltage stability index is embedded in the continuous power-flow solution process adopted in distribution management systems (DMS). If the distribution system is unbalanced, positive sequence data is used for evaluating the voltage stability index (SI). The developed control strategy controls the charging level such that guarantees secure operation of the distribution system regardless the number of plug-in hybrid electric vehicles (PHEVs) connected to the distribution system. The developed control method uses fuzzy logic controller for evaluating the battery of each PHEV in the system level of charging and discharging. The controller will be a part of the smart charger and uses both of the battery state of charge (SOC) and (SI) as input variables. Based on the controller output, the interface converter of each PHEV decides the desired level of charging.

ACS Style

Mamdouh Abdel-Akher; Ziad Ali; Ahmad Eid. Continuous charging coordination of PHEVs for voltage profile and stability improvements of unbalanced distribution systems. 2014 16th International Conference on Harmonics and Quality of Power (ICHQP) 2014, 49 -53.

AMA Style

Mamdouh Abdel-Akher, Ziad Ali, Ahmad Eid. Continuous charging coordination of PHEVs for voltage profile and stability improvements of unbalanced distribution systems. 2014 16th International Conference on Harmonics and Quality of Power (ICHQP). 2014; ():49-53.

Chicago/Turabian Style

Mamdouh Abdel-Akher; Ziad Ali; Ahmad Eid. 2014. "Continuous charging coordination of PHEVs for voltage profile and stability improvements of unbalanced distribution systems." 2014 16th International Conference on Harmonics and Quality of Power (ICHQP) , no. : 49-53.

Conference paper
Published: 01 May 2014 in 2014 16th International Conference on Harmonics and Quality of Power (ICHQP)
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A micro-grid consisting of a 300kW wind turbine and a 40kW photovoltaic array is investigated under extreme operating gust (EOG) wind scenarios. The micro-grid is connected to the 380-V utility through a utility-side converter using natural-frame control, which provides a constant voltage of the DC link between the micro-grid and utility. The impact of the extreme gust wind variations on the micro-grid performance is studied for variable speed wind energy system equipped with a squirrel-cage induction generator. The Hurghada city, Red Sea, Egypt is taken as a case study for the wind speed profile. A detailed model of extreme gust-wind speed variation is implemented and simulated using PSIM commercial software package, based on climate characteristics of Hurghada city. The indirect rotor field oriented control (FOC) method is implemented to the generator-side converter to keep the system stable under the extreme gust wind conditions and to control the squirrel-cage induction generator (SCIG) speed for maximum power-point tracker (MPPT) regime. Power quality of the utility-side converter in terms of operation at different power factors, voltage value and THD are verified.

ACS Style

Ahmad Eid; Mostafa Dardeer; Roberto Caldon; Eid A.; Dardeer M.. Control and performance of micro-grids under extreme gust wind scenarios. 2014 16th International Conference on Harmonics and Quality of Power (ICHQP) 2014, 684 -688.

AMA Style

Ahmad Eid, Mostafa Dardeer, Roberto Caldon, Eid A., Dardeer M.. Control and performance of micro-grids under extreme gust wind scenarios. 2014 16th International Conference on Harmonics and Quality of Power (ICHQP). 2014; ():684-688.

Chicago/Turabian Style

Ahmad Eid; Mostafa Dardeer; Roberto Caldon; Eid A.; Dardeer M.. 2014. "Control and performance of micro-grids under extreme gust wind scenarios." 2014 16th International Conference on Harmonics and Quality of Power (ICHQP) , no. : 684-688.

Conference paper
Published: 01 October 2013 in 2013 IEEE Industry Applications Society Annual Meeting
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In this paper a cylindrical Dielectric Barrier Discharge (DBD) plasma reactor is analyzed and investigated at normal environmental conditions. The stressed voltage is varied up to 40 kV peak to peak with variable frequency up to 4 kHz. In order to compare the experimental findings with the simulation results, an equivalent electrical circuit model is used. To simulate the dynamic micro-discharge inside the plasma reactor, a voltage-controlled current-source is implemented. The reactor is filled with Aluminum Oxide to enhance its operation. An equivalent configuration is proposed to model the region of alumina pellets inside the reactor and to calculate the corresponding equivalent capacitance. It is found that the measured voltage, discharge current and voltage-charge waveforms are consistent with the simulated results. The quantitative comparison of the experimental and simulated data confirms the validity of the developed electrical circuit model of the plasma reactor.

ACS Style

Ahmad Eid; Kazunori Takashima; Akira Mizuno. Experimental and simulation investigations of DBD plasma reactor at normal environmental conditions. 2013 IEEE Industry Applications Society Annual Meeting 2013, 1 -8.

AMA Style

Ahmad Eid, Kazunori Takashima, Akira Mizuno. Experimental and simulation investigations of DBD plasma reactor at normal environmental conditions. 2013 IEEE Industry Applications Society Annual Meeting. 2013; ():1-8.

Chicago/Turabian Style

Ahmad Eid; Kazunori Takashima; Akira Mizuno. 2013. "Experimental and simulation investigations of DBD plasma reactor at normal environmental conditions." 2013 IEEE Industry Applications Society Annual Meeting , no. : 1-8.

Conference paper
Published: 01 August 2013 in 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE)
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This paper presents the control and performance of a DC micro-grid, which consists of 60kW wind energy conversion system (WECS), 40kW photovoltaic (PV) panels, 65Ah battery and 40kW fuel cell (FC) with hybrid DC and AC buses. The WECS is controlled by the indirect field orientation control (FOC) which generates the available maximum power from the wind. The PV module generates the available maximum power using P&O MPPT control method considering environmental conditions. The FC delivers its power when there is a shortage of power generated from the PV and WECS generators. A decoupled i d -i q current-controlled bidirectional converter connects the DC micro-grid to the 200V AC bus of the main grid. The bidirectional converter controls the DC bus voltage, power and reactive power to/from the grid according to the available power from the hybrid sources and load demand with the help of a phase-locked-loop (PLL). The battery subsystem helps smoothing and regulating the DC bus voltage by charging/discharging the battery using a bidirectional DC/DC converter particularly at transient conditions. The adopted control strategies show secure operation of the micro-grid during transient and steady state operations for both grid-connected and autonomous case studies.

ACS Style

Ahmad Eid. Control of hybrid energy systems micro-grid. 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE) 2013, 1 -6.

AMA Style

Ahmad Eid. Control of hybrid energy systems micro-grid. 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE). 2013; ():1-6.

Chicago/Turabian Style

Ahmad Eid. 2013. "Control of hybrid energy systems micro-grid." 2013 IEEE International Conference on Smart Energy Grid Engineering (SEGE) , no. : 1-6.