Multi-time-scale rolling optimization and control strategy for hybrid energy storage based on empirical mode decomposition

Authors

Wenyuan ZHANG, Economic & Technical Research Institute, State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China; Hunan Jingyan Electric Power Design Co., Ltd., Changsha 410004, China
Liping TAN, Economic & Technical Research Institute, State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China
Zhiqiang XU, Economic & Technical Research Institute, State Grid Hunan Electric Power Co., Ltd., Changsha 410004, China
Qing CHEN, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, ChinaFollow
Shijie ZHANG, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China
Yushuang HE, School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha 410114, China

Keywords

mode decomposition; multi-time-scale; hybrid energy storage; rolling update; optimization and control

Abstract

To effectively improve the new energy accommodation level of photovoltaic （PV） transformer districts and the tie-line power fluctuation suppression capability and address the problem that various energy storage systems cannot achieve optimal output from a global perspective due to the need for secondary correction in the “optimization-first and decomposition-later ” control approach, a multi-time-scale rolling optimization and control strategy for hybrid energy storage based on empirical mode decomposition （EMD） is proposed.Firstly, the EMD is used to decompose the net load power of transformer districts into high-frequency and low-frequency modal components, which are taken as the reference output powers of the supercapacitor and lithium-ion battery, respectively.Secondly, a multi-time-scale rolling optimization and control model for hybrid energy storage is designed.The long-time scale takes the optimal economic operation of transformer districts as the objective, while the short-time scale aims to minimize the tie-line power fluctuation rate.With the constraints of the regulation characteristics and operating status of different energy storage systems considered, the reference output powers of each energy storage system are rolling-optimized.This simplifies the optimization control steps, improves the control effect of hybrid energy storage, and realizes the optimal power allocation of hybrid energy storage with the safe operation of lithium-ion batteries considered.Finally, simulation results show that the proposed control strategy can avoid frequent and large-scale operations of lithium-ion battery energy storage, ensuring the safe and reliable operation of lithium-ion batteries.Under the same rated power and state of charge conditions, the proposed control strategy achieves a better suppression effect, which can effectively improve the economy and stability of the transformer district operation.

DOI

10.19781/j.issn.1673-9140.2025.05.017

First Page

184

Last Page

194

Recommended Citation

ZHANG, Wenyuan; TAN, Liping; XU, Zhiqiang; CHEN, Qing; ZHANG, Shijie; and HE, Yushuang (2025) "Multi-time-scale rolling optimization and control strategy for hybrid energy storage based on empirical mode decomposition," Journal of Electric Power Science and Technology: Vol. 40: Iss. 5, Article 17.
DOI: 10.19781/j.issn.1673-9140.2025.05.017
Available at: https://jepst.researchcommons.org/journal/vol40/iss5/17