Load Switching Analysis using Converter with Optimization Algorithm in Hybrid Renewable Energy System

Abstract

Recently, an increasing number of organizations have begun to view renewable energy and industries as opportunities rather than regulations in the context of their production, distribution, and services. In this paper, main objective of designing a grid integrated solar-wind hybrid energy system for driving loads for improving its reliability and efficiency. And the inverter control designing with an AI-based optimization algorithm to attain improved active power at the terminal of loading by reducing the losses. And Improvement in the reactive power output from the system by the inverter control by a designed hybrid system that can compensate the reactive power requirement when required. The active power output from the system has enhanced to 77860 W in the system having converter regulated from the proposed controller that is MF_DEH from 77230 as a result of improved performance and reduced losses. The system was first compared with the PI-directed inverter control and the THD% in current, as well as voltage waveform, was found to be reduced to 0.11% in voltage and 0.41% in current from 0.86% and 1.93% respectively.