Hybrid optimization to enhance power system reliability using GA, GWO, and PSO

Abstract An optimization approach is described in the research study that deals with issue of reconfiguration networks built certain conditions power loss reduction and reliability. Furthermore, reconfigured networking system seeks based on criteria affecting limitations. This optimises specific network faults subjecting resources no supply during to avoid effect possess through active losses. These goals were met using mathematical method optimisation process. The formulation generated first development As a result, comprehensive methodology genetic algorithm, Grey Wolf (GWO), particle swarm (PSO) was developed. Finally, intended methodologies estimated. Based results, it clear proposed hybrid GWO-PSO outperforms all other methods terms node voltage, reliability, line currents, computational duration. when optimally sized distributed generations are placed optimal locations, total reduced by up 63% voltage profiles improve.