Size optimization and power allocation of a hybrid energy storage system for frequency service

Jianwei Li; Weitao Zou; Qingqing Yang; Fengyan Yi; Yunfei Bai; Zhongbao Wei; Hongwen He

doi:10.1016/j.ijepes.2022.108165

Size optimization and power allocation of a hybrid energy storage system for frequency service

Jianwei Li, Weitao Zou, Qingqing Yang, Fengyan Yi, Yunfei Bai, Zhongbao Wei, Hongwen He

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

Aiming at the scenario where the energy storage system participates in the grid enhanced frequency response auxiliary service, this research initially constructs a frequency response model to provide power requirements for the energy storage system (ESS). A two-layer optimization approach is proposed to solve the size optimization problem. A mixed-integer linear programming technique is researched on the bottom layer to optimize the power allocation of the hybrid energy storage system (HESS). On the top layer, a size optimization framework is proposed for optimising the configuration of the energy storage system. The size optimization results show that compared with the battery energy storage system (BESS), the capacity of the HESS was reduced by 64%, the battery aging cost was reduced by 52%, and the total cost was reduced by 35%. The results also show that the proposed optimal HESS design could fully leverage the advantages of the battery and the supercapacitor (SC). In addition, the proposed method is investigated in a long-term frequency service case. With the optimal setup and adaptive power distribution approach, both energy storage units operate within the specified power and capacity range at the same time the battery is protected from high-frequency power fluctuations.

Original language	English
Article number	108165
Number of pages	13
Journal	International Journal of Electrical Power and Energy Systems
Volume	141
Early online date	29 Mar 2022
DOIs	https://doi.org/10.1016/j.ijepes.2022.108165
Publication status	Published - Oct 2022

Bibliographical note

Funding Information:
This work was supported by the Nature Science Foundation of China with Grant No. 52172354 and Jianwei Li would like to thank the support of Youth talent promotion project from China Association for science and technology

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

Adaptive power allocation
Enhanced frequency response
Hybrid energy storage system
Size optimization

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1016/j.ijepes.2022.108165

Cite this

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title = "Size optimization and power allocation of a hybrid energy storage system for frequency service",

abstract = "Aiming at the scenario where the energy storage system participates in the grid enhanced frequency response auxiliary service, this research initially constructs a frequency response model to provide power requirements for the energy storage system (ESS). A two-layer optimization approach is proposed to solve the size optimization problem. A mixed-integer linear programming technique is researched on the bottom layer to optimize the power allocation of the hybrid energy storage system (HESS). On the top layer, a size optimization framework is proposed for optimising the configuration of the energy storage system. The size optimization results show that compared with the battery energy storage system (BESS), the capacity of the HESS was reduced by 64%, the battery aging cost was reduced by 52%, and the total cost was reduced by 35%. The results also show that the proposed optimal HESS design could fully leverage the advantages of the battery and the supercapacitor (SC). In addition, the proposed method is investigated in a long-term frequency service case. With the optimal setup and adaptive power distribution approach, both energy storage units operate within the specified power and capacity range at the same time the battery is protected from high-frequency power fluctuations.",

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author = "Jianwei Li and Weitao Zou and Qingqing Yang and Fengyan Yi and Yunfei Bai and Zhongbao Wei and Hongwen He",

note = "Funding Information: This work was supported by the Nature Science Foundation of China with Grant No. 52172354 and Jianwei Li would like to thank the support of Youth talent promotion project from China Association for science and technology Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

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doi = "10.1016/j.ijepes.2022.108165",

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AU - Zou, Weitao

AU - Yang, Qingqing

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AU - Bai, Yunfei

AU - Wei, Zhongbao

AU - He, Hongwen

N1 - Funding Information: This work was supported by the Nature Science Foundation of China with Grant No. 52172354 and Jianwei Li would like to thank the support of Youth talent promotion project from China Association for science and technology Publisher Copyright: © 2022 Elsevier Ltd

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N2 - Aiming at the scenario where the energy storage system participates in the grid enhanced frequency response auxiliary service, this research initially constructs a frequency response model to provide power requirements for the energy storage system (ESS). A two-layer optimization approach is proposed to solve the size optimization problem. A mixed-integer linear programming technique is researched on the bottom layer to optimize the power allocation of the hybrid energy storage system (HESS). On the top layer, a size optimization framework is proposed for optimising the configuration of the energy storage system. The size optimization results show that compared with the battery energy storage system (BESS), the capacity of the HESS was reduced by 64%, the battery aging cost was reduced by 52%, and the total cost was reduced by 35%. The results also show that the proposed optimal HESS design could fully leverage the advantages of the battery and the supercapacitor (SC). In addition, the proposed method is investigated in a long-term frequency service case. With the optimal setup and adaptive power distribution approach, both energy storage units operate within the specified power and capacity range at the same time the battery is protected from high-frequency power fluctuations.

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Size optimization and power allocation of a hybrid energy storage system for frequency service

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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