Optimal Designing and Synthesis of a Hybrid PV/Fuel cell/Wind System using Meta-heuristics

Energy Reports

Nasser Yousefi¹  Yan Cao²  Zhijie Wang²  Hui Yao²  Kittisak Jermsittiparsert³ 

[1] Corresponding author.;School of Mechatronic Engineering and Shaanxi Key Laboratory of Non-Traditional Machining, Xi’an Technological University, Xi’an 710021 China;Social Research Institute, Chulalongkorn University, Bangkok 10330, Thailand;

关键词: Hybrid system;    Lithium-ion battery;    Proton exchange membrane fuel cell;    PV;    Wind;    Elephant herding optimization algorithm;   

DOI  :  

来源: DOAJ

【 摘 要 】

In this paper, a multi-objective optimization method has been established on a hybrid PV, wind, fuel cell, and battery system. The optimization is based on three models including energy supply reliability, electricity efficiency, and capital cost of the hybrid system. A new model of the Elephant Herding Optimization (BEHO) Algorithm is utilized to solve the multi-objective optimization problem and is validated based on different algorithms and benchmark functions. The main purpose is to determine the Pareto surface including a set of possible design solutions to help the decision-makers obtaining the global optimum solution. The final results indicated that the proposed method is an applicable approach for designing of the proposed hybrid system.

【 授权许可】

Unknown