Design and Optimization of A Hybrid Energy Storage System using the Dandelion Optimization Algorithm in İslanded Rural DC Microgrids

Abstract

The prevalence of microgrid systems has increased in recent years, with the objective of providing solutions to the global energy demand and to support the electrification of rural areas. These systems, which are generally based on renewable resources, suffer from stability problems due to the variability of resources. Energy storage systems are critical to overcoming this problem. However, batteries are limited due to performance loss over time and high maintenance costs. Therefore, Hybrid Energy Storage Systems (HESS) supported by supercapacitors come to the forefront. In this study, a solar and wind powered HESS for a rural island microgrid is designed and cost and sizing optimization is performed using the Dandelion Optimization Algorithm. Simulation results show that HESS reduces costs, increases system performance and improves energy efficiency.