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Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems

Author

Listed:
  • Peng Ruan

    (Research and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, China)

  • Qili Su

    (Research and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, China)

  • Liuli Zhang

    (Research and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, China)

  • Jun Luo

    (Research and Development Department, Pinggao Group Energy Storage Technology Co., Ltd., Tianjing 300384, China)

  • Yuanpeng Diao

    (Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
    Ningbo Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Ningbo 315012, China)

  • Li Xie

    (Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Hua Zheng

    (Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

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.

Suggested Citation

  • Peng Ruan & Qili Su & Liuli Zhang & Jun Luo & Yuanpeng Diao & Li Xie & Hua Zheng, 2025. "Optimal Siting and Sizing of Hybrid Energy Storage Systems in High-Penetration Renewable Energy Systems," Energies, MDPI, vol. 18(9), pages 1-14, April.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:9:p:2196-:d:1642560
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    References listed on IDEAS

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    2. Go, Roderick S. & Munoz, Francisco D. & Watson, Jean-Paul, 2016. "Assessing the economic value of co-optimized grid-scale energy storage investments in supporting high renewable portfolio standards," Applied Energy, Elsevier, vol. 183(C), pages 902-913.
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