Sizing of standalone photovoltaic-thermoelectric cogeneration system using particle swarm optimization

Abstract

This study aims to optimize a Photovoltaic-Thermoelectric standalone system with a battery storage system at the lowest cost of the system and acceptable reliability using particle swarm optimization algorithm (PSO). For this purpose, a comprehensive rule-based power management mechanism is proposed, which will coordinate the energy flow among the different system components that make up the stand-alone system. Following that, investigation and confirmation of the proposed PSO performance are carried out to determine the system’s optimum size. The proposed method’s ultimate objective is to minimize the cost of energy (COE) and the Loss of Power Supply Probability (LPSP). The proposed system is intended to meet the energy requirements of the FKE Building at UTM in Johor. This project takes annual temperature, solar irradiance, and load profile into account. The proposed PSO’s effectiveness in addressing the optimization problem is evaluated, and its performance is compared to the Iterative technique (IT) Algorithm. The suggested optimization methods are implemented in MATLAB via the simulation package. The simulation results demonstrate that PSO is capable of sizing the system optimally in comparison to Iterative technique (IT) algorithm. As result, the comparison of the algorithms reveals that PSO performed a superior result since it has the lowest COE (objective function), at RM0.5812/kW h, as compared to the iterative technique (IT) at RM0.5846 kW h, for the desired LPSP of 1%.