An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model

Cai Haotian; Wang Xiaolong; Peng Qingjiong; Zhang Haobo; Peng Xiangang; Zhao Zhuoli

doi:10.12052/gdutxb.250088

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An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model

更新时间：2026-05-27

- An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model
- Vol. 43, Issue 2, Pages: 52-63(2026)
- 作者机构：
  
  广东工业大学自动化学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.250088
  CLC： TM732;TM711
- Published：2026
- 稿件说明：
移动端阅览
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

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