A new sizing and optimization framework for stand-alone hybrid renewable energy systems

Article type: Research Article

Authors: Xia, Yaowei^{; *} | Qin, Jiejie

Affiliations: School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China

Correspondence: [*] Corresponding author. Yaowei Xia, School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430000, China. E-mail: [email protected].

Abstract: In this paper, a new optimization methodology to assess the designs of the various renewable generation systems of electrical energy is used. This methodology utilizes Whale Optimization Algorithm (WOA) to minimize the cost of the electrical energy generated. The methodology permits to examine and to combine different sources of energy as to touch base at an optimal configuration of the hybrid system. This system is capable of providing energy to the predefined site in an achievable way as indicated by certain specialized and financial criteria. The system incorporates wind generation, photovoltaic generation and batteries for energy storage. The recreation results have been acquired with the help of MATLAB programming. Moreover, the outcomes of the proposed methodology have been compared with Particle Swarm Optimization (PSO) Algorithm for validation. The recreation results demonstrated the predominance of the proposed methodology.

Keywords: Hybrid renewable energy system, whale optimization algorithm, optimization, photovoltaic, wind, off-grid

DOI: 10.3233/JIFS-190213

Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 4043-4053, 2019