Optimized PV-Wind-Storage System for Reduced Losses

Abstract

This study focuses on optimizing an Autonomous Energy System (AES) composed of Photovoltaic (PV) generators, a Wind Turbine (WT) generator and an Energy Storage System (ESS). Besides, the main objective aims to define the optimal system requirements for each subsystem to minimize total wasted energy, thereby improving the global efficiency and autonomy of the system. Frequently, a significant amount of renewable energy is wasted when the demand is fully satisfied, and the storage system is completely charged, leading to underutilization of available resources.

In this study, the optimal configurations of the PV, WT and ESS were determined with the aim of minimizing total energy losses. Further, the simulation considered local conditions, including solar irradiation, ambient temperature, wind speed and the energy demand profile of a city in Skikda, Algeria. In addition, optimization was carried out using a Particle Swarm Optimization (PSO) algorithm implemented in MATLAB. In virtue of which, the results show that the application of loss-minimization approach effectively identifies the optimal capacity for each system component, which reduce total energy losses, improving the global efficiency and utilization of the energy system, accordingly.