The Superiority of Coronavirus Optimization Algorithm for Optimal Designing of Photovoltaic/Wind/Fuel Cell Hybrid System Considering Cost Minimization Approach to Improve Reliability

This article proposes the best design for a hybrid system that incorporates wind turbines, solar panels, and fuel cells (FC) to satisfy the load requirement. The design's goal is to reduce the system's energy production costs considering the load supply's reliability. System costs include initial investment costs, operation and maintenance, replacement and replacement costs, and load loss costs. The optimal capacity of the hybrid system's equipment has been calculated with the help of the Coronavirus Optimization Algorithm (COVIDOA). The results obtained from the optimization have been compared and analyzed with those obtained from the Differential Evolution (DE) algorithm. The results have shown that the COVIDOA optimization method, like the DE optimization method, has obtained favourable results. In the COVIDOA method, the system's production costs have increased slightly, but the reliability of the load supply has been improved. Therefore, in the suggested approach, in addition to considering the economic aspect of the design, much attention has been paid to the technical aspect of the design, in other words, the reliability level of the system.