Strategy of Microgrid Sharing Its Own Energy Storage in Grid Secondary Frequency Regulation

MA Peng; YANG Mingjiang; XIONG Yi; YE Jianwei; HU Kaijun; HE Yuying; LUO Yi

doi:10.19725/j.cnki.1007-2322.2024.0187

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Strategy of Microgrid Sharing Its Own Energy Storage in Grid Secondary Frequency Regulation

更新时间：2026-10-19

- Strategy of Microgrid Sharing Its Own Energy Storage in Grid Secondary Frequency Regulation
- Vol. 43, Issue 5, Pages: 983-992(2026)
- 作者机构：
  
  1. 内蒙古电力(集团)有限责任公司阿拉善供电分公司, 内蒙古自治区阿拉善盟,750300
  2. 华中科技大学电气与电子工程学院,湖北省,武汉市,430070
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0187
  CLC： 5
- Published：2026
- 稿件说明：
移动端阅览
MA Peng, YANG Mingjiang, XIONG Yi, et al. Strategy of Microgrid Sharing Its Own Energy Storage in Grid Secondary Frequency Regulation[J]. 2026, 43(5): 983-992.
DOI：

MA Peng, YANG Mingjiang, XIONG Yi, et al. Strategy of Microgrid Sharing Its Own Energy Storage in Grid Secondary Frequency Regulation[J]. 2026, 43(5): 983-992. DOI： 10.19725/j.cnki.1007-2322.2024.0187.

摘要

在新型电力系统调峰调频需求日益增长的背景下，针对当前用户侧储能利用率普遍偏低的现状，提出一种微网自有分布式储能的并网共享模式：对内通过共享满足多微网系统内部的调峰需求；对外则参与电网二次调频服务，从而获取额外经济收益。以含共享储能的多微网系统为研究对象，在对内共享时，提出综合考虑储能荷电状态(state of charge，SOC)均衡与寿命损耗的调峰指令分配策略，在实现调峰的同时为储能预留调频裕量，降低储能调节损耗；在对外共享时，提出综合考虑储能当前调峰计划与未来调峰需求的调频申报容量滚动计算方法与调频指令分配策略，确保储能在留有下一次调峰裕量的基础上为电网调频提供支撑。基于某区域多微网系统的实际数据开展仿真，通过算例对比验证所提策略的有效性。

Abstract

In the context of the increasing demand for frequency regulation in the new power system and considering the low actual utilization rate of user-side energy storage

a sharing mode of microgrid-owned distributed energy storage in the grid-connected state is proposed. This model enables internal energy storage sharing to meet the basic peak regulation needs of multi-microgrid systems

while external sharing of the secondary frequency regulation of auxiliary power grids is utilized to obtain additional benefits. Taking the multi-microgrid system with shared energy storage as the research object

a peak regulation instruction allocation strategy is proposed during internal sharing that comprehensively considers the balance of energy storage SOC and life loss. In this manner

peak regulation can be realized while reserving frequency modulation margin for energy storage systems and reducing energy storage regulation loss. When sharing with the outside world

a rolling calculation method for frequency modulation capacity declaration and a frequency modulation instruction allocation strategy that comprehensively consider both the current peak regulation plan and future peak regulation demands of energy storage are proposed

ensuring that energy storage supports power grid frequency regulation on the basis of leaving a margin for the subsequent peak regulation. Based on the data from a multi-microgrid system in a certain region

simulations and comparisons are carried out

and the effectiveness of the proposed strategy is verified through a case study.

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references

LI P, LI R X, CAO Y, et al . Multiobjective sizing optimization for island microgrids using a triangular aggregation model and the levy-harmony algorithm[J ] . IEEE Transactions on Industrial Informatics, 2018, 14(8): 3495−3505.

ZHAO D W, WANG H, HUANG J W, et al . Virtual energy storage sharing and capacity allocation[J ] . IEEE Transactions on Smart Grid, 2020, 11(2): 1112-1123.

LAI S, QIU J, TAO Y. Individualized pricing of energy storage sharing based on discount sensitivity[J]. IEEE Transactions on Industrial Informatics, 2022, 18(7): 4642−4653.

QU Jianfeng, TANG Bo, YU Guangzheng, et al . Multi-microgrids power interaction and shared energy storage planning based on generation-load matching[J ] . Modern Electric Power, 2025, 42(1): 117−128(in Chinese).

WU Shengjun, LI Qun, LIU Jiankun, et al . Bi-level optimal configuration for combined cooling h eating and power multi-microgrids based on energy storage station service[J ] . Power System Technology, 2021, 45(10): 3822−3829(in Chinese).

CHEN Xi, FU Wenlong, ZHANG Hairong, et al . Optimal dispatching strategy of shared energy storage with multi-microgrid considering uncertainty of new energy generation[J ] . Power System Technology, 2024, 48(1): 219−228(in Chinese).

WANG Jidong, XU Qiuming, HUANG Ting, et al . Distributed optimal scheduling of data center microgrids cluster with shared energy storage[J ] . Power System Technology, 2024, 48(8): 3238−3247(in Chinese).

XU Yanchun, LIU Haiquan, SUN Sihan, et al . Bi-level optimal scheduling of multi-microgrid system considering demand response and shared energy storage[J ] . Electric Power Automation Equipment, 2023, 43(6): 18−26(in Chinese).

ZHOU Tianjiao, ZHOU Renjun, HUANG Jingjie, et al . Energy trading method of energy storage aggregators under self-operating and sharing mode[J ] . Electric Power Automation Equipment, 2023, 43(5): 171−176(in Chinese).

YANG Dongfeng, WANG Yilin, YANG Shihui, et al . Multi-microgrid and shared energy storage two-layer energy trading strategy based on hybrid game[J ] . High Voltage Engineering, 2024, 50(4): 1392 −1402(in Chinese).

JIANG Xinyue, LÜ Ruiyang, HE Jie, et al . Decentralized trading mechanism for joint frequency regulation of shared energy storage considering incomplete information disclosure[J ] . Automation of Electric Power Systems, 2023, 47 (18): 68-79(in Chinese).

HAO Lili, LÜ Xiaoxu, DING Yixing, et al . Optimal configuration strategy of renewable energy-grid-customer side energy storage considering capacity sharing[J ] . Proceedings of the CSEE, 2024, 44(14): 5607−5619(in Chinese).

YAN Dongxiang, CHEN Yue. Review on business model and pricing mechanism for shared energy storage[J]. Automation of Electric Power Systems, 2022, 46(23): 178−191(in Chinese).

SHI Y, XU B, WANG D, et al . Using battery storage for peak shaving and frequency regulation: joint optimization for superlinear gains[J ] . IEEE Transactions on Power Systems, 2018, 33(3): 2882−2894.

WANG Z, GU C, LI F, et al . Active Demand response using shared energy storage for household energy management[J ] . IEEE Transactions on Smart Grid, 2013, 4(4): 1888−1897.

WANG Z, GU C, LI F. Flexible operation of shared energy storage at households to facilitate PV penetration[J]. Renewable Energy, 2017, 116(A): 438−446.

NING Jian, WU Jiping, JIANG Changming, et al . Optimal control strategy of peak and frequency regulation for adjustable loads considering operation characteristics of resources[J ] . Automation of Electric Power Systems, 2022, 46(15): 11−19(in Chinese).

PRATYUSH C, ENRIQUE B, KAMESHWAR P. Sharing storage in a smart grid: A coalitional game approach[J]. IEEE Transactions on Smart Grid, 2019, 10(4): 4379−4390.

XIAO J W, YANG Y B, CUI S, et al . A new energy storage sharing framework with regard to both storage capacity and power capacity[J ] . Applied Energy, 2022(1): 118171.1−118171.9.

LIU D, CAO J, LIU M. Joint Optimization of energy storage sharing and demand response in microgrid considering multiple uncertainties[J]. Energies, 2022, 15(9): 3067.

YANG Yanhong, PEI Wei, DENG Wei, et al . Day-ahead scheduling optimization for microgrid with battery life model[J ] . Transactions of China Electrotechnical Society, 2015, 30(22): 172−180(in Chinese).

MA Yuxin, HU Zechun, DIAO Rui. Day-ahead optimization strategy for shared energy storage of renewable energy power stations to provide frequency regulation service[J]. Power System Technology, 2022, 46(10): 3857−3868(in Chinese).

SYMONS P. Life estimation of lead-acid battery cells for utility energy storage[C]//Proceedings of the Fifth Conference on Batteries for Utility Storage. San Juan, Puerto Rico, USA, 1995.

DROUILHET S, JOHNSON B, DROUILHET S, et al . A battery life prediction method for hybrid power applications[C ] //Proceedings of the 35th Aerospace Sciences Meeting and Exhibit. Reno, NV, USA: AIAA, 1997: 948.

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