Optimized design and control of a stand-alone hybrid power system using modified cuckoo search algorithm

Abstract

This paper presents the optimized design and control of a stand-the only hybrid power system with power management function using a modified search algorithm for cuckoo. The hybrid system comprising PV, Wind, Battery and Fuel Cell is connected to a common DC bus from which the load is supplied with a DC-AC converter. The two main sources namely wind and PV are embedded with MPPT controller to obtain optimum output. The battery which supplies the load during reduced PV output and fuel cell with electrolyzer is considered as an additional support of power to the DC bus. In addition, for power management in the hybrid system, the modified cuckoo search algorithm is proposed to improve the DC bus voltage and supervise the power sharing between loads and different sources. The results obtained are compared to the conventional controller to demonstrate the efficiency of the soft computing approach proposed. The whole system is constructed using the MATLAB Simulink environment and the results of the simulation are presented to validate the proposed method.