The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm
Ahmed, E., Albarawy, M., Ibrahim, K. (2021). The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm. EKB Journal Management System, 4(1), 191-206. doi: 10.21608/fuje.2021.205156
Eslam Mohamed Ahmed; Mennatullah Mahmoud Albarawy; Khaled H. Ibrahim. "The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm". EKB Journal Management System, 4, 1, 2021, 191-206. doi: 10.21608/fuje.2021.205156
Ahmed, E., Albarawy, M., Ibrahim, K. (2021). 'The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm', EKB Journal Management System, 4(1), pp. 191-206. doi: 10.21608/fuje.2021.205156
Ahmed, E., Albarawy, M., Ibrahim, K. The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm. EKB Journal Management System, 2021; 4(1): 191-206. doi: 10.21608/fuje.2021.205156

The Most Economical Design of Hybrid PV/Wind/Battery/Diesel Generator Energy System Considering Various Number of Design Parameters Based on Genetic Algorithm

Fayoum University Journal of Engineering
Article 10, Volume 4, Issue 1, November 2021, Page 191-206  XML PDF (1.19 MB)
Document Type: Original Article
DOI: 10.21608/fuje.2021.205156
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Authors
Eslam Mohamed Ahmed email 1; Mennatullah Mahmoud Albarawy1; Khaled H. Ibrahim2
1Department of Engineering Mathematics and Physics, Faculty of Engineering, Fayoum University
2Electrical Engineering Department, Faculty of Engineering, Fayoum University
Abstract
The optimal sizing of a hybrid energy system may be a difficult undertaking problem, because of the huge number of structure settings and the irregular nature of solar radiation and wind power sources. This issue has a place with the classification of combinatorial enhancement, and its solution dependent on the classical technique may be a waste of time. This paper proposes a Genetic Algorithm (GA) methodology to find the optimal sizing of a hybrid Photovoltaic, Wind Turbine, Battery Storage, and Diesel Generators (PV/WT/BA/DG) energy system based on the number of PV modules, the number of wind turbines, the number of batteries, the number of diesel generators, the slope angle of PV panel and a hub height of wind turbine as the design parameters and study its effect on the Levelized Cost of Energy (LCOE). The proposed method aims to minimize the LCOE with high reliability of load supplying by increasing the design variables gradually. The proposed method will be tested at different sites with various metrological data to ensure its robustness. The results show that the LCOE decreases as the design parameters increase, also that the average wind-speed is inversely proportional to the LCOE of the site under study.
Keywords
Genetic algorithm; hybrid system; Renewable energy; Optimization
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