Optimal Sizing of Solar/Wind Hybrid Off-Grid Microgrids Using an Enhanced Genetic Algorithm  

作　　者：Abdrahamane Traoré Hatem Elgothamy Mohamed A. Zohdy 

机构地区：[1]Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA

出　　处：《Journal of Power and Energy Engineering》2018年第5期64-77,共14页电力能源（英文）

摘　　要：This paper presents a method for optimal sizing of an off-grid hybrid microgrid (MG) system in order to achieve a certain load demand. The hybrid MG is made of a solar photovoltaic (PV) system, wind turbine (TW) and energy storage system (ESS). The reliability of the MG system is modeled based on the loss of power supply probability (SPSP). For optimization, an enhanced Genetic Algorithm (GA) is used to minimize the total cost of the system over a 20-year period, while satisfying some reliability and operation constraints. A case study addressing optimal sizing of an off-grid hybrid microgrid in Nigeria is discussed. The result is compared with results obtained from the Brute Force and standard GA methods.This paper presents a method for optimal sizing of an off-grid hybrid microgrid (MG) system in order to achieve a certain load demand. The hybrid MG is made of a solar photovoltaic (PV) system, wind turbine (TW) and energy storage system (ESS). The reliability of the MG system is modeled based on the loss of power supply probability (SPSP). For optimization, an enhanced Genetic Algorithm (GA) is used to minimize the total cost of the system over a 20-year period, while satisfying some reliability and operation constraints. A case study addressing optimal sizing of an off-grid hybrid microgrid in Nigeria is discussed. The result is compared with results obtained from the Brute Force and standard GA methods.

关 键 词：Optimization OFF-GRID Microgrid Renewable ENERGY ENERGY Storage Systems (ESS) SOLAR Photovoltaic (PV) WIND Battery HYBRID Genetic Algorithm (GA) 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]