Optimal sizing and feasibility analysis of hybrid energy microgrid system using multi‐objective moth swarm algorithm

This work aims at designing and developing a hybrid renewable energy system (HRES) that can accommodate rural sustainability by utilizing locally accessible biomass resources, wind speeds, and solar radiation within concrete communities. An important consequence is that it will enable the best energy‐generating arrangement to be recognized in order to further increase per capita energy availability (EPC) and the standard of life as a whole. The difficulties tackled in the research include which energy sources to choose and which optimization of the system component sizes to determine with the help of a hybrid optimization model where energy balances are based on priorities. System performance was analyzed with multi‐objective Moth Swarm Optimization (MOMSA). The given HRES showed that the share of renewable energy in the system grew by 30% in comparison with the current system and the energy exported into the grid increased by 14%. Feasibility analysis also indicated great gains, such as a System Net Present Cost (NPC) of 53.8 million Indian rupees, a 35/kWh Cost of Energy (COE), maximum Renewable Resource Penetration (RRP), and minimum Power Loss Probability (PLP). These findings demonstrate the possibilities of the system to improve the energy sustainability of the rural areas and meet national energy delivery objectives.