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Dr. Mohammed KHARRICH
Mohammed V University, Ecole Mohammadia d’Ingénieurs

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Research Keywords & Expertise

0 Optimization Algorithms
0 Renewable Energy
0 microgrids
0 Renewable energies
0 Renewable and Sustainable Energy

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Short Biography

MOHAMMED KHARRICH was born in Fez, Morocco in 1989. He received the B.S. degree in mechanical engineering from Sidi Mohamed Ben Abdellah, Fez in 2011 and M.S. in mechatronics engineering in Abdelmalek Essaâdi University, Tetouan in 2014. He is currently pursuing the Ph.D. degree in electrical engineering at Mohammed V University, Mohammadia School of Engineering, Rabat, Morocco. He published many papers in international journals and conferences, he is also a reviewer at many highly indexed journals. His research interest includes the microgrid systems, modeling, simulation and optimization of renewable and conventional power systems, metaheuristic algorithms, developing and application of stochastic and metaheuristic algorithms.

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Journal article
Published: 27 April 2021 in IEEE Access
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Sub-synchronous resonance (SSR) phenomenon occurs due to the interaction between wind turbine generators and series-compensated transmission lines. A doubly-fed induction generator (DFIG) is considered one of the most widely implemented generators in wind energy conversion systems. SSR analysis based on the eigenvalue method is the most important among the used methods. The accuracy of the eigenvalue method depends on the initial values of state variables. Previously, the initial values of the state variables were calculated based on the iterative approach which is suffering from convergence problem, lacking accuracy, and requiring a long computation time. Moreover, many steps and details haven’t been provided. Consequently, it is urgent to fill this gap and show how can implement the SSR analysis model in detail. In this paper, a new application of a recent analytical approach is proposed for SSR analysis. All information is provided, and the SSR analysis model of a DFIG-based series compensated wind farm is built step-by-step. In order to prove the effectiveness and accuracy of the proposed method, the eigenvalue analysis based on the proposed and iterative methods is compared with the time-domain simulation results at different wind speeds and variable compensation levels. The results prove that the eigenvalue analysis based on the proposed method is more precise, where it is consistent with the simulation results in all studied cases. MATLAB software is used to validate the results.

ACS Style

Mohamed Abdeen; Hui Li; Salah Kamel; Ahmed Khaled; Mahmoud El-Dabah; Mohammed Kharrich; Hatem Faiz Sindi. A Recent Analytical Approach for Analysis of Sub-Synchronous Resonance in Doubly-Fed Induction Generator-Based Wind Farm. IEEE Access 2021, 9, 68888 -68897.

AMA Style

Mohamed Abdeen, Hui Li, Salah Kamel, Ahmed Khaled, Mahmoud El-Dabah, Mohammed Kharrich, Hatem Faiz Sindi. A Recent Analytical Approach for Analysis of Sub-Synchronous Resonance in Doubly-Fed Induction Generator-Based Wind Farm. IEEE Access. 2021; 9 ():68888-68897.

Chicago/Turabian Style

Mohamed Abdeen; Hui Li; Salah Kamel; Ahmed Khaled; Mahmoud El-Dabah; Mohammed Kharrich; Hatem Faiz Sindi. 2021. "A Recent Analytical Approach for Analysis of Sub-Synchronous Resonance in Doubly-Fed Induction Generator-Based Wind Farm." IEEE Access 9, no. : 68888-68897.

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: 14 January 2021 in IEEE Access
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In this paper, a new application of Equilibrium Optimizer (EO) is proposed for design hybrid microgrid to feed the electricity to Dakhla, Morocco, as an isolated area. EO is selected to design the microgrid system due to its high effectiveness in determining the optimal solution in very short time. EO is presented for selecting the optimal system design which can minimize the cost, improve the system stability, and cover the load at different climate conditions. Microgrid system consists of photovoltaic (PV), wind turbine (WT), battery, and diesel generator. The objective function treated in this paper is to minimize the net present cost (NPC), respecting several constraints such as the reliability, availability, and renewable fraction. The sensitivity analysis is conducted in two stages: Firstly, the impact of wind speed, solar radiation, interest rate, and diesel fuel on the NPC, and levelized cost of energy (LCOE) is analyzed. Secondly, the influence of size variation on loss of power supply probability (LPSP) is investigated. The results obtained by EO are compared with those obtained by recent metaheuristics optimization algorithms, namely, Harris Hawks Optimizer (HHO), Artificial Electric Field Algorithm (AEFA), Grey Wolf Optimizer (GWO), and Sooty Tern Optimization Algorithm (STOA). The results show that the optimal system design is achieved by the proposed EO, where renewable energy sources (PV and WT) represent 97% of the annual contribution and fast convergence characteristics are obtained by EO. The best NPC, LCOE, and LPSP are obtained via EO achieving 74327 $, 0.0917 $/kWh, and 0.0489, respectively.

ACS Style

Mohammed Kharrich; Salah Kamel; Mohamed Abdeen; Omar Hazem Mohammed; Mohammed Akherraz; Tahir Khurshaid; Sang-Bong Rhee. Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco. IEEE Access 2021, 9, 13655 -13670.

AMA Style

Mohammed Kharrich, Salah Kamel, Mohamed Abdeen, Omar Hazem Mohammed, Mohammed Akherraz, Tahir Khurshaid, Sang-Bong Rhee. Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco. IEEE Access. 2021; 9 (99):13655-13670.

Chicago/Turabian Style

Mohammed Kharrich; Salah Kamel; Mohamed Abdeen; Omar Hazem Mohammed; Mohammed Akherraz; Tahir Khurshaid; Sang-Bong Rhee. 2021. "Developed Approach Based on Equilibrium Optimizer for Optimal Design of Hybrid PV/Wind/Diesel/Battery Microgrid in Dakhla, Morocco." IEEE Access 9, no. 99: 13655-13670.

Journal article
Published: 21 September 2020 in Applied Sciences
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Recently, fast uptake of renewable energy sources (RES) in the world has introduced new difficulties and challenges; one of the most important challenges is providing economic energy with high efficiency and good quality. To reach this goal, many traditional and smart algorithms have been proposed and demonstrated their feasibility in obtaining the optimal solution. Therefore, this paper introduces an improved version of Bonobo Optimizer (BO) based on a quasi-oppositional method to solve the problem of designing a hybrid microgrid system including RES (photovoltaic (PV) panels, wind turbines (WT), and batteries) with diesel generators. A comparison between traditional BO, the Quasi-Oppositional BO (QOBO), and other optimization techniques called Harris Hawks Optimization (HHO), Artificial Electric Field Algorithm (AEFA) and Invasive Weed Optimization (IWO) is carried out to check the efficiency of the proposed QOBO. The QOBO is applied to a stand-alone hybrid microgrid system located in Aswan, Egypt. The results show the effectiveness of the QOBO algorithm to solve the optimal economic design problem for hybrid microgrid power systems.

ACS Style

Mohammed Kharrich; Omar Hazem Mohammed; Salah Kamel; Ali Selim; Hamdy M. Sultan; Mohammed Akherraz; Francisco Jurado. Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System. Applied Sciences 2020, 10, 6604 .

AMA Style

Mohammed Kharrich, Omar Hazem Mohammed, Salah Kamel, Ali Selim, Hamdy M. Sultan, Mohammed Akherraz, Francisco Jurado. Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System. Applied Sciences. 2020; 10 (18):6604.

Chicago/Turabian Style

Mohammed Kharrich; Omar Hazem Mohammed; Salah Kamel; Ali Selim; Hamdy M. Sultan; Mohammed Akherraz; Francisco Jurado. 2020. "Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System." Applied Sciences 10, no. 18: 6604.