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

Peng Ruan, Qili Su, Liuli Zhang, Jun Luo, Yuanpeng Diao, Li Xie and Hua Zheng ()
Additional contact information
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
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

Energies, 2025, vol. 18, issue 9, 1-14

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.

Keywords: optimal configuration of hybrid energy storage; high-penetration renewable energy; grid dispatch flexibility; renewable energy aggregation stations; siting and sizing model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/9/2196/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/9/2196/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:9:p:2196-:d:1642560

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().