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