Parameter optimization via cuckoo optimization algorithm of fuzzy controller for energy management of a hybrid power system

• Optimized fuzzy logic controller (FLC) for operating a standalone hybrid power system based on cuckoo search algorithm.
• Comparison between optimized fuzzy logic controller based on cuckoo search and swarm intelligent.
• Loss of power supply probability and levelized energy cost are introduced.

This paper presents the development of an optimized fuzzy logic controller (FLC) for operating a standalone hybrid power system based on cuckoo search algorithm. The FLC inputs are batteries state of charge (SOC) and net power flow, FLC outputs are the power rate of batteries, photovoltaic and diesel generator. Data for weekly solar irradiation, ambient temperature and load profile are used to tune the proposed controller by using cuckoo search algorithm. The optimized FLC is able to minimize loss of power supply probability (LPSP), excess energy (EE) and levelized energy cost (LEC). Moreover, the results of CS optimization are better than of particle swarm optimization PSO for fuzzy system controller.