Optimal Sizing of Standalone Hybrid Microgrid Using Artificial Jellyfish Search

Abstract

Optimal sizing of hybrid microgrids is imperative to render lower cost. This paper presents an effective optimal sizing technique for a hybrid Microgrid via artificial Jellyfish Search (AJS) optimizer. The optimal sizing aims at demand while minimizing load disturbance. Hence, optimal cost is achieved, and system reliability is improved. The proposed sizing approach considers uncertainty of hybrid renewable resources. Various operating scenarios are investigated to investigate the effectiveness of the proposed approach and also compared to different optimizers. The obtained results demonstrate the validity and applicability of the suggested sizing method.