Power Optimization in Hybrid Renewable Energy Standalone System using SMC-ANFIS

integration of renewable energy sources is challenging now-a-days because of intermittent nature of solar radiation. Particularly in hybrid renewable energy system, it is required to incorporate an intelligent control algorithm to optimize the time duration at transient condition and also ensures the stable operation. This paper is aimed at integrating hybrid renewable energy system includes partial shaded solar photovoltaic system and Proton Exchange Membrane Fuel Cell (PEMFC) at constant temperature to supply the stand-alone DC load. Due to the dynamic DC source, an Energy Management System (EMS) is used to get the stable output. The system includes interleaving soft switching boost converters (SSBC's) is controlled by combined Slide Mode Controller with trained Artificial Neuro Fuzzy System (SMC-ANFIS). The proposed Hybrid system is modeled and simulated using MATLAB Simulink platform. The tested parameters are obtained in terms of voltage, current, power, speed, and torque. The simulated result of proposed system with SMC-ANFIS-EMS is compared with conventional SMC-EMS and SMC-ANN-EMS to obtain optimal output. From the performance analysis, the SMC-ANFIS-EMS provides better output and control.