Fuzzy Decision-Making for the Optimization of Off-Grid Multisource Power Generation Systems

Abstract

The search for alternative energy sources has become critical in a time of increasing energy demand and awareness of environmental practices. The increasing demand for energy worldwide may be met effectively and sustainably with the help of Off- grid multisource power generating systems, or OMPGS. The primary objective of this article is to optimize the OMPGS's design and functionality for usage in rural communities. Taking into account local climatic conditions, demand data, and technical specifications, a size optimization model is created using the innovative Particle Swarm Optimization (PSO) approach, which minimizes the Levelized Cost of Electricity (LCOE). Furthermore, a Fuzzy Logic Controlled Energy Management System (EMS) is suggested to guarantee ideal power regulation and energy retention in the system. By taking this method, the system's overall resilience, efficiency, and responsiveness to fluctuating energy needs are improved.