Bald Eagle Search Algorithm-based Hybrid Wind Turbine Distributed Generation and Battery Energy Storage System Allocation Optimization

Abstract

This article describes the main methods for locating and sizing battery energy storage systems (BESSs) and wind turbine distributed generators (WTDGs) inside electrical distribution systems (EDS). In order to minimize the overall active loss as a multi-objective function, this study examines the best way to plan several hybrid WTDG and BESS units in the EDS. In the first case, WTDGs are installed to pump active power into the EDS. In the second scenario, the EDS is provided by the simultaneous deployment of the hybrid WTDG and BESS units. The construction of entirely new multi-objective functions (MOF) based on the total of the three technical metrics: active power loss, voltage variation, and overcurrent relay working times is what makes the proposed work unique. The bald eagle search algorithm (BESA), a recently developed meta-heuristic technique, is used in this paper to test the proposed MOF in the standard IEEE 69-bus electrical distribution network.