Multi-Objective Self-Adaptive a Non-Dominated Sorting Genetic (NSGA) Algorithm for Optimal Sizing of PV/Wind/Diesel Hybrid Microgrid System
Hasanin, D., Saleh, A., Mahmoud, M. (2021). Multi-Objective Self-Adaptive a Non-Dominated Sorting Genetic (NSGA) Algorithm for Optimal Sizing of PV/Wind/Diesel Hybrid Microgrid System. EKB Journal Management System, 1(2), 1-15. doi: 10.21608/aujst.2021.226485
Doaa Hasanin; Ayat Saleh; Mountasser Mahmoud. "Multi-Objective Self-Adaptive a Non-Dominated Sorting Genetic (NSGA) Algorithm for Optimal Sizing of PV/Wind/Diesel Hybrid Microgrid System". EKB Journal Management System, 1, 2, 2021, 1-15. doi: 10.21608/aujst.2021.226485
Hasanin, D., Saleh, A., Mahmoud, M. (2021). 'Multi-Objective Self-Adaptive a Non-Dominated Sorting Genetic (NSGA) Algorithm for Optimal Sizing of PV/Wind/Diesel Hybrid Microgrid System', EKB Journal Management System, 1(2), pp. 1-15. doi: 10.21608/aujst.2021.226485
Hasanin, D., Saleh, A., Mahmoud, M. Multi-Objective Self-Adaptive a Non-Dominated Sorting Genetic (NSGA) Algorithm for Optimal Sizing of PV/Wind/Diesel Hybrid Microgrid System. EKB Journal Management System, 2021; 1(2): 1-15. doi: 10.21608/aujst.2021.226485

Multi-Objective Self-Adaptive a Non-Dominated Sorting Genetic (NSGA) Algorithm for Optimal Sizing of PV/Wind/Diesel Hybrid Microgrid System

Aswan University Journal of Sciences and Technology
Volume 1, Issue 2, December 2021, Page 1-15  XML PDF (1.07 MB)
Document Type: Original papers
DOI: 10.21608/aujst.2021.226485
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Authors
Doaa Hasanin email 1; Ayat Saleh2; Mountasser Mahmoud1
1Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt
2Electrical Engineering Department, Faculty of Energy Engineering, Aswan University, Aswan, Egypt
Abstract
In this article, A mix of different types of micro grid system (Hybrid Micro grid System-HMS) such as solar photovoltaic (PV) power, wind energy (WT), and diesel generators with storage system is presented. Multi-Objective Self-Adaptive a non-dominated sorting genetic (NSGA) algorithm is used to find the optimal sizing of a PV/wind/diesel HMS with battery storage for the city of Yanbu, Saudi Arabia. The problem of optimal component sizing is formulated in multi-objective optimization framework to analyze the Loss of Power Supply Probability (LPSP), the Cost of Electricity (COE), and the Renewable Factor (RF) in relation to HMS cost and reliability considering three objective functions, and is tested using three cases studies involving differing house numbers. The proposed algorithm is carried out on the city of Yanbu with various cases. 
Keywords
Non-dominated Sorting Genetic Algorithm III; Power loss reduction; renewable factor; cost; renewable energy source
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