Optimal Dispatch of Multi-microgrid System Based on Attention-driven Robust Game

LI Jianlin; GAO Zi'ang; WANG Hailong; JIANG Xiaoxia; GAO Zhigang

doi:10.20204/j.sp.2026.05004

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Optimal Dispatch of Multi-microgrid System Based on Attention-driven Robust Game

更新时间：2026-05-20

- Optimal Dispatch of Multi-microgrid System Based on Attention-driven Robust Game
- Vol. 54, Issue 5, Pages: 30-37(2026)
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- DOI：10.20204/j.sp.2026.05004
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- Published：2026
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李建林,高子昂,王海龙,姜晓霞,高志刚.基于注意力驱动鲁棒博弈的多微网系统优化调度[J].智慧电力,2026,54(5):30-37.

doi:10.20204/j.sp.2026.05004
李建林,高子昂,王海龙,姜晓霞,高志刚.基于注意力驱动鲁棒博弈的多微网系统优化调度[J].智慧电力,2026,54(5):30-37. DOI： 10.20204/j.sp.2026.05004.

doi:10.20204/j.sp.2026.05004 DOI：

摘要

针对多微网综合能源系统多主体利益协调与不确定性环境下的运行鲁棒性问题，提出一种基于注意力驱动鲁棒博弈的多微网系统优化调度策略。首先，构建含共享储能的多微网综合能源系统模型，并引入综合需求响应机制与源荷不确定性集；其次，构建基于主从博弈与鲁棒优化结合的双层协同调度模型，上层系统运营商通过制定动态价格进行引导，下层多微网联盟求解最劣场景下的最低成本运行方案，并应用注意力驱动粒子群算法对模型进行求解；最后，算例结果表明所提策略相较于非协作常规调度模式使系统总收益提升约31%，有效降低了系统对外部配电网的依赖，在保障恶劣源荷波动场景供能可靠性的同时实现了多方利益的协同优化。

Abstract

Aiming at the issues of multi-agent interest coordination and operational robustness under uncertainty in multi-microgrid integrated energy systems

an optimal scheduling strategy for multi-microgrid systems based on an attention-driven robust game is proposed. First

a multi-microgrid integrated energy system model with shared energy storage is constructed

and an integrated demand response mechanism along with source-load uncertainty sets is introduced. Second

a bi-level collaborative scheduling model combining Stackelberg game and robust optimization is established. The upper-level system operator provides guidance by setting dynamic prices

while the lower-level multi-microgrid alliance solves for the lowest-cost operation scheme under the worst-case scenario. An attention-driven particle swarm optimization algorithm is applied to solve the model. Finally

case study results show that

compared with the non-cooperative conventional scheduling mode

the proposed strategy increases the total system revenue by approximately 31%

effectively reduces the system's dependence on the external distribution grid

ensures supply reliability under severe source-load fluctuation scenarios

and achieves the collaborative optimization of multi-party interests.

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references

张金良，王朝阳，郝宇. 考虑需求响应和共享储能的微网联盟两阶段优化调度 [J ] .智慧电力，2024，52（7）：48-55.

林顺富，董炯炯，周波，等. 基于混合博弈的多微网日前-日内协同优化调度 [J ] .电力自动化设备，2025，45（8）：106-113.

周奕佳，彭弘毅，晏鸣宇. 氢-电-热综合能源系统快速风险评估方法 [J ] .智慧电力，2025，53（5）：1-7.

段少为，蔡晔，唐夏菲，等. 考虑抽蓄电站与风光多主体合作的三方演化博弈与稳定性分析 [J ] .电力建设，2025，46（3）：104-115.

王辉，夏玉琦，李欣，等. 基于多主体三层博弈的区域综合能源系统低碳运行策略 [J ] .中国电力，2025，58（8）：69-83.

李建林，张梦圆，王茜，等. 计及风光不确定性的现货-调频市场联合出清策略 [J ] .电力工程技术，2025，44（3）：53-63.

SHAGHAGHI-SHAHR G，SEDIGHIZADEH M，AGHAMOHA-MMADI M，et al. Optimal generation scheduling in microgrids using mixed-integer second-order cone programming [J ] .Engineering Optimization，2020，52（12）：2164-2192.

段梅梅，程含渺，方凯杰，等. 基于分时电碳耦合定价的虚拟电厂主从博弈策略 [J ] .电测与仪表，2024，61（11）：1-11.

喻磊，王锐，程杉，等. 基于多主体主从博弈的电动汽车充电站双层定价策略 [J ] .电力科学与技术学报，2025，40（3）：243-254.

邱明石，陈俊儒，刘牧阳，等. 考虑纳网系统和微网运营商电价机制的主从博弈优化调度策略 [J ] .电力系统保护与控制，2024，52（19）：15-34.

曹猛，解超，尹纯亚，等. 计及源荷不确定性的多综合能源微网协同优化运行策略 [J ] .电网与清洁能源，2025，41（3）：112-124.

金文，方登洲，李鸿鹏，等. 共享自有储能模式下多微电网协同鲁棒调度与效益分配 [J ] .智慧电力，2024，52（11）：56-63，97.

王家怡，贺帅佳. 计及新型分布式资源与电碳交易的虚拟电厂分布鲁棒低碳调度模型 [J ] .电力建设，2025，46（7）：13-26.

李萌，陈云龙，刘继彦，等. 基于粒子群优化BP神经网络多元客户负荷可调节潜力动态评估 [J ] .电力需求侧管理，2024，26（5）：82-87.

卢皓天，刘少鹏，王凯. 基于多目标粒子群算法的光伏制氢系统容量优化方法 [J ] .南方能源建设，2025，12（3）：133-143.

刘浩田，陈锦，朱熹，等. 一种基于价格弹性矩阵的居民峰谷分时电价激励策略 [J ] .电力系统保护与控制，2021，49（5）：116-123.

SAHARI K S M，JALAL M F A，HOMOD R Z，et al. Dynamic indoor thermal comfort model identification based on neural computing PMV index [C ] //4th International Conference on Energy and Environment 2013.Putrajaya，Malaysia，2013：012113.

周鑫，韩肖清，李廷钧，等. 计及需求响应和电能交互的多主体综合能源系统主从博弈优化调度策略 [J ] .电网技术，2022，46（9）：3333-3346.

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