Intelligent Modelling of Renewable Energy Resources-Based Hybrid Energy System for Sustainable Power Generation and Monitoring

Abstract

The electrical energy is playing a vital role in the development and sustainability of any country. The demand of electrical energy is rising due to the increased comfort levels, urbanization and technological advancements. Therefore, it is utmost important to invigorate the use of renewable energy resources for bridging the gap and accepting the challenges of increasing electrical energy demands and greenhouse gas emissions. In view of the above, the present research focuses on the optimal design and sizing of hybrid energy system (HES) based on renewable energy resources, including solar photovoltaic (SPV), wind energy system, biomass and biogas with battery to electrify the rural areas of India’s Haryana state. Different models of hybrid energy systems have been chosen and optimized using different intelligent approaches such as grey wolf optimization (GWO), harmony search (HS) and particle swarm optimization (PSO) on the MATLAB platform. Finally, the results are compared in view of minimizing net present cost (NPC) and cost of energy (COE) and found the most optimal solution.