Techno-economic and graded evaluation of hybrid renewable energy systems for A&N electrification using traditional fisher swarm optimization

This paper verifies the optimum configuration and techno-economic viability of hybrid renewable energy systems (HRES) for electrifying the Andaman and Nicobar Islands. Plan to develop a better electric system that uses centralized renewable generations, such as solar panels, wind turbines, energy storage devices, and a diesel generator to ensure the reliability of power supply. Our electricity needs must be optimally satisfied by the chosen HRES. A test system is created with a few houses in the Andaman and Nicobar Islands to conduct a case study. Further, to increase the system’s reliability, we have probabilistically determined solar irradiance and wind speed using a machine learning technique, i.e., Random Forest. The suggested HRES satisfied the anticipated home load demand of 17.79 kWh/day and peak load of 1.490 Kw. For the energy dispatch of HRES, the optimal economical design of the system is determined based on the Cost of Electricity (COE) and renewable fraction using the proposed TFSO, PSO, AOA, GA, MFA and HOMOR Pro software. The optimal result of COE ₹ 4.21 at renewable fraction 89.04 is obtained using the Proposed TFSO algorithm. After the economic validation of the system using these algorithms, technical validation of the resulting outcome is done using Typhoon HIL real-time simulator, and the result is observed from DSO, where it is found that the voltage and frequency regulation is within its permissible limit.