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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

蔡昊天 王小龙 彭庆炯 张浩博 彭显刚 赵卓立

广东工业大学学报2026,Vol.43Issue(2):52-63,12.
广东工业大学学报2026,Vol.43Issue(2):52-63,12.DOI:10.12052/gdutxb.250088

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

蔡昊天 1王小龙 1彭庆炯 1张浩博 1彭显刚 1赵卓立1

作者信息

  • 1. 广东工业大学 自动化学院,广东 广州 510006
  • 折叠

摘要

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.

关键词

共享储能/多套餐定价/Stackelberg博弈/功率互济/成本分摊

Key words

shared energy storage/multi-package pricing/Stackelberg game/power exchange/cost allocation

分类

信息技术与安全科学

引用本文复制引用

蔡昊天,王小龙,彭庆炯,张浩博,彭显刚,赵卓立..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):52-63,12.

基金项目

国家自然科学基金资助项目(62273104) (62273104)

广东工业大学学报

1007-7162

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