多套餐共享储能模式下考虑功率互济的社区联盟优化运行策略

蔡昊天; 王小龙; 彭庆炯; 张浩博; 彭显刚; 赵卓立

doi:10.12052/gdutxb.250088

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多套餐共享储能模式下考虑功率互济的社区联盟优化运行策略

电气工程 | 更新时间：2026-05-27

- 多套餐共享储能模式下考虑功率互济的社区联盟优化运行策略
- An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model
- 广东工业大学学报 2026年43卷第2期页码：52-63
- 作者机构：
  
  广东工业大学自动化学院,广东,广州,510006
- 作者简介：
  
  蔡昊天(2000–) ，男，硕士研究生，主要研究方向为电力系统储能规划与运营，E-mail：997863410@qq.com
  彭显刚(1964–) ，男，教授，硕士，主要研究方向为电力系统分析，E-mail：epxg@gdut.edu.cn
- 基金信息：
  
  国家自然科学基金资助项目(62273104)
- DOI：10.12052/gdutxb.250088
  中图分类号： TM732;TM711
- 纸质出版：2026
- 稿件说明：
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蔡昊天, 王小龙, 彭庆炯, 等. 多套餐共享储能模式下考虑功率互济的社区联盟优化运行策略[J]. 广东工业大学学报, 2026, 43(2): 52-63.
蔡昊天, 王小龙, 彭庆炯, 等. 多套餐共享储能模式下考虑功率互济的社区联盟优化运行策略[J]. 广东工业大学学报, 2026, 43(2): 52-63. DOI： 10.12052/gdutxb.250088.

DOI： 10.12052/gdutxb.250088

摘要

针对社区用户侧可再生能源及共享储能广泛接入背景下，现有运营模式灵活性不足、能量共享收益分配不合理等问题，本文旨在构建兼顾多元服务需求与功率互济的社区联盟优化运行模型。首先，建立共享储能与社区联盟协同运行的系统框架。其次，基于Stackelberg博弈兼顾共享储能运营商和社区联盟的利益诉求，采用霜冰优化算法(Rime Optimization Algorithm

RIME) 嵌套Gurobi求解器求解社区日前调度运行决策、社区运行成本、储能定价决策及运营收益。再次，考虑日前调度中社区之间功率互济的运行场景，通过计算社区新能源发电出力与负荷曲线相似度、社区互济出力大小以及互济关联度等指标得到分摊系数，基于加权贡献度法对各社区日前运行成本进行再分摊。最后，在算例仿真中验证了所提模型的有效性和适用性。

Abstract

The widespread integration of user-side renewable energy and shared energy storage has outpaced the flexibility of existing operational models and led to unreasonable allocations of energy-sharing benefits. This study aimed to develop an optimized operational model for community microgrid alliances that accommodated diverse service demands and power exchange. First

a system framework for the coordinated operation of shared energy storage and community microgrid alliances was established. Second

based on a Stackelberg game balancing the interests of both the shared energy storage operator and community microgrid alliances

a nested RIME algorithm integrated with the Gurobi solver was employed to determine day-ahead scheduling decisions

community operating costs

energy storage pricing decisions

and operational revenues. Third

in the day-ahead scheduling stage

power exchange among communities was considered by computing allocation coefficients from the similarity between community renewable generation outputs and load profiles

the magnitude of power exchange

and their correlation; these coefficients were then used in a weighted-contribution method to reallocate day-ahead operating costs among communities. Finally

case-study simulations validate the effectiveness and applicability of the proposed model.

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references

HOU Q C, DU E S, ZHANG N, et al . Impact of high renewable penetration on the power system operation mode: a data-driven approach[J ] . IEEE Transactions on Power Systems, 2020, 35(1): 731-741.

LIU Y G, GAO S B, WEI X G, et al . Research on trading model of prosumers considering the social behaviors in the power internet of things[J ] . Proceedings of the CSEE, 2021, 41(9): 3173-3187.

XIAO Y P, WANG X F, PINSON P, et al . Transactive energy based aggregation of prosumers as a retailer[J ] . IEEE Transactions on Smart Grid, 2020(4): 1-10.

FLEISCHHACKER A, AUER H, LETTNER G, et al . Sharing solar PV and energy storage in apartment buildings: resource alloca-tion and pricing[J ] . IEEE Transactions on Smart Grid, 2019, 10(4): 3963-3973.

LIU Y S, MA Q, WANG Z Q, et al . Cogitation on power and electricity balance dispatching in new power system[J ] . Proceedings of the CSEE, 2023, 43(5): 1694-1705.

XIE X R, MA N J, LIU W, et al . Functions of energy storage in renewable energy dominated power systems: review and prospect[J ] . Proceedings of the CSEE, 2023, 43(1): 158-168.

YAN D X, CHEN Y. Review on business model and pricing mechanism for shared energy storage[J]. Automation of Electric Power Systems, 2022, 46(23): 178-191.

DAI R, ESMAEILBEIGI R, CHARKHGARD H. The utilization of shared energy storage in energy systems: a comprehensive review[J]. IEEE Transactions on Smart Grid, 2021, 12(4): 3163-3174.

KALATHIL D, WU C Y, POOLLA K, et al . The sharing economy for the electricity storage[J ] . IEEE Transactions on Smart Grid, 2019, 10(1): 556-567.

HSIU-CHUAN C, BISSAN G, JATIN N. Shared community energy storage allocation and optimization[J]. Applied Energy, 2022, 318.

LI L, XU Q S, WANG X Q, et al . Optimal economic scheduling of industrial customers on the basis of sharing energy-storage station[J ] . Electric Power Construction, 2020, 41(05): 100-107.

YU X X, LI Y C, WANG Q L, et al . Day-ahead scheduling of community shared energy storage based on federated reinforcement learning[J ] . Proceedings of the CSEE, 2024, 44(20): 8103-8113.

CHEN H Y, LIU Y, XU L X, et al . Optimal configuration of shared energy storage on residential user side considering capacity reduction[J ] . Electric Power Construction, 2023, 44(09): 43-57.

WANG X, CHENG Y, ZHAO J B, et al . Optimized operation of shared energy storage system in regional power grid considering operation mechanism[J ] . Smart Power, 2025, 53(02): 96-103.

LI X S, FANG Z J, LI F, et al . Game-based optimal dispatching strategy for distribution network with multiple microgrids leasing shared energy storage[J ] . Proceedings of the CSEE, 2022, 42(18): 6611-6625.

HAO L L, LYU X X, DING Y X, et al . Optimal configuration strategy of renewable energy-grid-customer side energy storage considering capacity sharing[J ] . Proceedings of the CSEE, 2024, 44(14): 5607-5620.

LI J L, CUI Y L, MA S L, et al . Operation mode optimization and economic benefit analysis of demand-side shared energy storage[J ] . Power System Technology, 2022, 46(12): 4954-4969.

ZHOU T J, ZHOU R J, HUANG J J, 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.

GONG Y, ZHANG J, SUN W Q, et al . Auction mechanism for shared energy storage system portfolios based on decoupling power and capacity rights[J ] . Transactions of China Electrotechnical Society, 2022, 37(23): 6041-6053.

YANG H J, WANG J Y, MA Y H, et al . Joint planning of energy storage systems for multi-area grids considering power interconnection[J ] . Electric Power Construction, 2024, 45(02): 79-89.

ZHOU R J, LI B, HUANG J J, et al . Source-load-storage coordinated optimization model with source-load similarity and curve volatility constraints[J ] . Proceedings of the CSEE, 2020, 40(13): 4092-4102.

CHEN X R, JIANG Y W. Wind power variability cost allocation method[J]. Electric Power Automation Equipment, 2020, 40(11): 99-106.

LU Q Y, YANG Y G, XIE P P, et al . Two-stage optimal operation strategy of wind farm cluster leasing shared energy storage[J ] . Power System Technology, 2024, 48(3): 1146-1165.

SU H, ZHAO D, HEIDARI A A, et al . RIME: a physics-based optimization[J ] . Neurocomputing, 2023, 532: 183-214.

WANG Y Q, ZHANG M, WANG J X, et al . Rental price decision of shared energy storage capacity based on supermodular game[J ] . Electric Power, 2025, 58(01): 164-173.

GAO W K, HE C, LIU T Q, et al . Multi-package game pricing method of user-side shared energy storage considering coordinated operation of microgrid alliance[J ] . Electric Power Automation Equipment, 2024, 44(9): 16-23.

CUI J, ZHU Z, QU G, et al . Demand-side shared energy storage pricing strategy based on stackelberg-nash game[J ] . International Journal of Electrical Power Energy Systems, 2025, 164: 110387-110398.

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