Performance Assessment of Multiple Optimizing Algorithms for Hybrid PV and Diesel Energy System Sizing

Abstract

This article assesses various optimization algorithms used to find the sizing of standalone hybrid energy system (HES) providing energy to isolated residential area load. The HES comprises three elements: photovoltaic panels (PV), diesel generators (DG). Many optimization algorithms have been assessed in this research to determine the most effective sizing of the HES in order to reduce the PV arrays, DGs number and the overall system cost hence minimizing the cost of energy (COE). The algorithms convergence time and the resulting loss of power supply probability (LPSP) are examined in this comparison. In this article, MATLAB/Simulink is used for its robust capabilities in modeling, simulating, and analyzing dynamic systems. The optimization's constraint is maintaining a reliability of 100%, ensuring uninterrupted energy supply to meet the energy demand. The results of the optimizations demonstrate that some algorithms gave different results of sizing.