Improved Whale Optimization Algorithm for Solving Microgrid Operations Planning Problems

Microgrid operations planning is one of the keys to ensuring safe and efficient outputs distributed energy resources (DERs) stable operation a power system in microgrid (MG). In this study, for symmetry renewable systems, coordinated control based on storage battery system, an MG dispatching model with DER conditions integrated costs established grid-connected mode, basis costs, interaction pollutant emissions costs. Moreover, optimization objective minimizing established. Therefore, original whale algorithm (WOA), improved (IWOA) adaptive weight strategy Levy flight trajectory proposed paper, solve optimal problem MGs. Finally, computing comparisons methods such as genetic (GA), particle swarm (PSO), WOA, wild horse optimizer (WHO), enhanced (EWOA), results show that IWOA computation had lower higher operational efficiency. it verified performed better solving problem.