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Publishing Language: Chinese | Open Access

Economic dispatch for VPP with backup energy storage of base station based on dynamic minimum backup time

Wei LIJian HULei WANG
School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China
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Abstract

The construction scale of communication base stations is increasing, and the reliability of power supply in distribution networks is enhancing. Therefore, backup energy storage resources of base stations are commonly experiencing idle conditions. Dispersed and low-capacity backup energy resources of base stations can be aggregated and utilized through the form of a virtual power plant (VPP). This paper presents a methodology for calculating the dynamic minimum backup time of communication base stations based on the availability index. The method aims to accurately evaluate the dispatchable capacity of an individual energy storage base station. This paper employs VPP technology to efficiently aggregate the dispatchable capacity of distributed base station backup energy storage. Thereby a base station backup energy storage VPP is formed and participates in the power market as a qualified entity. An economic dispatch model is proposed for a backup energy storage VPP to participate in both price arbitrage and frequency regulation ancillary services to maximize operational revenue. Case studies demonstrate that dynamic evaluations of minimum backup time enhance the accuracy of dispatchable capacity assessments in comparison to fixed-time methodologies. The energy storage VPP of base stations optimizes energy storage utilization and maximizes operational revenue through collaborative participation in price arbitrage and frequency regulation services.

CLC number: TM73 Document code: A

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Electric Power Engineering Technology
Pages 114-125

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Cite this article:
LI W, HU J, WANG L. Economic dispatch for VPP with backup energy storage of base station based on dynamic minimum backup time. Electric Power Engineering Technology, 2026, 45(6): 114-125. https://doi.org/10.12158/j.2096-3203.2026.06.012

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Received: 21 October 2025
Revised: 16 January 2026
Published: 30 June 2026
© After publication of the article, the authors shall own the right of signature. 2026.

The authors can use or share the published article under the Attribution-Non Commercial 4.0 International (CC BY-NC 4.0) license.