Volume 48

Particle Swarm Optimization Based Optimal Sizing Model of PV-Battery Systems for Utility-scale Photovoltaic Power Plants Wenqian Zhang, Mingkun Jiang, Yuhao Yao, Haoran Zhang

Abstract

The intermittency and instability of solar power generation present significant challenges for its effective integration into the grid. This project introduces an advanced Particle Swarm Optimization (PSO) based model for optimizing the configuration of photovoltaic (PV) and battery systems in power stations. The model tackles the intermittency and unpredictability of solar energy by incorporating an uncertainty set within the PSO algorithm, ensuring robust optimization under varying conditions. It also integrates an attention mechanism to enhance the accuracy of PV power output predictions. The study further develops an economic assessment model to evaluate the financial performance of different configurations, considering equipment, maintenance costs, and market prices. The project’s findings demonstrate the model’s effectiveness in improving both the operational efficiency and economic viability of PV-battery systems.

Keywords photovoltaic optimization, particle swarm optimization, energy storage, power curtailment, economic efficiency