Optimal energy management and feasibility analysis of hybrid renewable energy sources with BESS and impact of electric vehicle load with demand response program

Microgrid hybrid renewable energy sources with green energy have become a need for the environment. Electric vehicle (EV) contribution is another revolution in clean energy. The Micro-grid with hybrid renewable energy (HREs) is a cost-effective, eco-friendly solution.The main contribution of the proposed work is; (i) to analyze the impact of the operating reserve power, battery energy storage system (BESS), renewable penetration percentage, and demand response program (DRP) for the EVs load with HREs integration. (ii) minimization of the net present cost (NPC) and Levelized cost of energy (LCOE) of the system with zero unmet HREs, (iii) obtaining the techno-economic analysis of the different combinations of hybrid energy sources as Photovoltaic/Wind-Turbin/Diesel Generator and BESS, with EV load growth. The annual energy purchased and sold from the grid has been reduced by 15.35% and increased by 42.98%, respectively, considering DRP. The NPC of the system has been reduced by 62.62%, considering the BESS. The Hybrid Optimization Model for Electric Renewable (HOMER) software with MATLAB R21a interface has been used for the analysis. This paper represents the feasibility of energy storage with the HREs management study for EV load considering techno-economic, cost-effective, and economic dispatch for feasibility analysis of Hawai Island, USA.

Automated summary

Microgrid hybrid renewable energy sources with green energy have become necessary for the environment, and the contribution of electric vehicles (EVs) is revolutionizing clean energy. The microgrid with hybrid renewable energy is cost-effective and eco-friendly. The main contribution of this study is to analyze the impact of various factors on the integration of hybrid renewable energy with EV load, minimize the system cost, and obtain the techno-economic analysis of different hybrid energy source combinations.