基于层级嵌套博弈的微电网独立储能与供需双响应协同优化策略

邹阳; 姚雨佳; 石松浩; 黄煜; 方梦泓; 金涛

doi:doi:10.19912/j.0254-0096.tynxb.2024-1867

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基于层级嵌套博弈的微电网独立储能与供需双响应协同优化策略

更新时间：2026-03-06

- 基于层级嵌套博弈的微电网独立储能与供需双响应协同优化策略
- Vol. 47, Issue 2, Pages: 714-725(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1867
  CLC： TM74
- Online First：05 March 2026，
  
  Published：05 March 2026
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邹阳, 姚雨佳, 石松浩, et al. 基于层级嵌套博弈的微电网独立储能与供需双响应协同优化策略[J]. 2026, 47(2): 714-725.
DOI：

邹阳, 姚雨佳, 石松浩, et al. 基于层级嵌套博弈的微电网独立储能与供需双响应协同优化策略[J]. 2026, 47(2): 714-725. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1867.

摘要

为探索能源结构绿色低碳转型和电力市场化改革形势下微电网内不同主体电能交互的有效方式

充分发挥储能作为独立主体参与电力交易的调控潜力

该文提出一种基于层级嵌套博弈的微电网独立储能与供需双响应协同优化策略。首先

基于源-储-荷的灵活调整

构建微电网内多主体双层级嵌套博弈互动框架

其中第一层级博弈为光伏用户需求响应优化用能策略

第二层级博弈为独立储能协调优化微电网供能策略

通过双层级交互决策变量实现供需双侧响应。其次

根据源-储-荷层级嵌套博弈关系

建立考虑各市场主体利益诉求的分布式协同优化模型。然后

利用启发式算法联合混合整数规划的方法求解供需多主体在追求目标最优时的交互策略。最后

通过算例验证所提策略的有效性

即能有效权衡多主体利益

提高储能资源的利用率

优化微电网电能供需平衡。

Abstract

Microgrid and energy storage

as an effective way to promote new energy consumption

are becoming the current research hotspot. In order to explore effective approaches to power interaction between different subjects within the microgrid under the situation of green and low-carbon transformation of energy structure and the reform of the electricity market

and to fully utilize the regulatory potential of energy storage as an independent subject participating in power trading

this paper proposes a coordinative optimization strategy based on the hierarchical nested game of independent energy storage and supply-demand dual-response in microgrids. Firstly

based on the flexible adjustment of source-storage-load

a two-level nested game interaction framework is constructed for multiple subjects in the microgrid

in which the first-level game is the optimization of energy consumption strategy for photovoltaic users' demand response

and the second-level game is the optimization of microgrid's energy supply strategy through the coordination of independent energy storage

achieving dual-response of supply and demand through the interaction of decision variables at two-level. Secondly

according to the source-storage-load hierarchical nested framework

a distributed collaborative optimization model considering the interests of various market participants is established. Then

the heuristic algorithm combined with the mixed integer programming method is used to solve the interaction strategies of supply and demand multiple participants in pursuit of the optimal objective. Finally

the effectiveness of the proposed strategy was rerified through numerical examples

i.e.

it can effectively balance the interests of multiple subjects

improve the utilization rate of energy storage resources

optimize the balance between supply and demand of microgrids

and achieve an improvement in overall economic benefits.

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