基于合作博弈的多微网混合共享储能协同优化及成本分摊策略

董福贵; 刘锦怡; 王佩君

doi:10.19912/j.0254-0096.tynxb.2025-0282

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (7) : 619-631. DOI: 10.19912/j.0254-0096.tynxb.2025-0282

基于合作博弈的多微网混合共享储能协同优化及成本分摊策略

董福贵, 刘锦怡, 王佩君

作者信息 +

COOPERATIVE GAME-BASED MULTI-MICROGRID HYBRID ENERGY STORAGE OPTIMIZATION AND COST ALLOCATION

Dong Fugui, Liu Jinyi, Wang Peijun

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文章历史 +

摘要

为应对可再生能源出力不确定性对多微网系统经济运行的影响,提出一种融合双层规划与改进Shapley值法的多微能源网共享储能协同优化方法。基于分时电价机制,构建多微能源网电-热混合储能系统双层协同规划框架：上层模型为电热储能容量配置模型;下层模型通过多微能源网电热能量协同调度,优化充放电策略。构建包含经济、环保与能效特性的三维贡献度,建立基于改进Shapley值法的多主体分配机制,结合破坏倾向指数对各微网满意度进行评估,从而验证成本分摊方案的公平性。仿真结果表明：所提方案较独立储能模式可降低系统总运行成本4.6%,减少碳排放强度3.04%;改进Shapley值法所得分配方案的破坏倾向指数均小于0.8,确保了成本分摊的公平性和有效性。

Abstract

To address the impacts of renewable energy output uncertainty on the economic operation of multi-micro energy grids （MMEGs）, this study proposes a collaborative optimization method for shared energy storage in MMEGs by integrating bi-level programming with an enhanced cooperative game theory. Based on a time-of-use electricity price mechanism, a bi-level collaborative planning framework for electro-thermal hybrid energy storage systems in MMEGs is established： The upper-level model optimizes energy storage capacity allocation by minimizing investment and operational costs, while the lower-level model coordinates electricity-heat energy dispatch across MMEGs to refine charging/discharging strategies. To overcome the limitations of traditional cost allocation methods, a tri-dimensional contribution degree encompassing economic, environmental, and energy efficiency attributes is innovatively developed, establishing an allocation mechanism based on an improved Shapley value method. The disruption propensity index is employed to evaluate the satisfaction of individual microgrids, thereby verifying the fairness of the cost-sharing scheme. Simulation results demonstrate that the proposed approach reduces the total system operational cost by 4.6% and decreases carbon emission intensity by 3.04% compared to independent energy storage configurations. The allocation scheme derived from the improved Shapley value method yields defection propensity indices below 0.8 for all microgrids, confirming the equity and effectiveness of the cost distribution.

导出引用

董福贵, 刘锦怡, 王佩君. 基于合作博弈的多微网混合共享储能协同优化及成本分摊策略[J]. 太阳能学报. 2026, 47(7): 619-631 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0282

Dong Fugui, Liu Jinyi, Wang Peijun. COOPERATIVE GAME-BASED MULTI-MICROGRID HYBRID ENERGY STORAGE OPTIMIZATION AND COST ALLOCATION[J]. Acta Energiae Solaris Sinica. 2026, 47(7): 619-631 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0282

中图分类号： TM73

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