Optimal Design of Microgrid Using Chimp Optimization Algorithm

被引:4
|
作者
Kharrich, Mohammed [1 ]
Mohammed, Omar Hazem [2 ]
Kamel, Salah [3 ]
Aljohani, Mansour [4 ]
Akherraz, Mohammed [1 ]
Mosaad, Mohamed, I [4 ]
机构
[1] Mohammed V Univ, Mohammadia Sch Engineers, Dept Elect Engn, Rabat, Morocco
[2] Northern Tech Univ, Tech Power Engn Tech Coll, Mosul, Iraq
[3] Aswan Univ, Dept Elect Engn, Aswan, Egypt
[4] Yanbu Ind Coll, Dept Elect & Elect Engn, Yanbu, Saudi Arabia
关键词
Chimp Optimization Algorithm; GWO; Hybrid Power Systems; IWO; Microgrid; Net Present Cost; SYSTEM;
D O I
10.1109/ICAACCA51523.2021.9465336
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The hybrid power systems become necessary, mainly in non-electrified areas as in Africa, where millions of peoples have not access to electricity. This study solves the design problem of the microgrid systems, containing PV panels, wind turbines and battery storage system. This paper focuses to apply a recent algorithm named Chimp Optimization Algorithm (ChOA) and comparing its performance with two algorithms called IWO and GWO. The microgrid system design is based on optimizing of net present cost function, respecting some constraints. The results showed that the recent ChOA algorithm is better than the IWO and GWO, however, the suggested system is very suitable in the Dakhla location, where the metrological conditions are suitable.
引用
收藏
页数:5
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