Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems
Peng Ruan, Qianqian Su, Liuli Zhang, Jun Luo, Yuanpeng Diao, Li Xie, Hua Zheng
Abstract
As the share of renewable energy continues to increase, power grids face more complex challenges in maintaining the balance between supply and demand. Renewable energy is characterized by volatility, intermittency, and reverse peak regulation issues. These characteristics create additional difficulties for stable grid operation. Energy storage systems (ESSs) have emerged as an effective solution to these problems. Coordinated scheduling between energy storage systems and renewable energy power plants is essential. It improves the efficiency of storage utilization and enhances the flexibility of grid dispatch. This paper proposes an optimal configuration model for hybrid energy storage systems in scenarios with high renewable energy penetration. The model focuses on optimizing the interaction between renewable energy and storage systems. It plans the siting and capacity allocation of energy storage at renewable energy aggregation stations. The model considers multiple constraints, including power flow, unit commitment, and storage operation. Based on these constraints, it determines the optimal configuration of storage systems. The results aim to ensure both the stability of the power system and overall economic efficiency.