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针对多微网系统新能源利用率低、运行成本高的问题，提出一种基于分布鲁棒优化与非零和博弈的分布式协同调度方法。首先，构建基于Wasserstein距离的分布鲁棒优化模型，通过定义不确定性概率分布的模糊集量化多能微网新能源出力波动的影响；其次，设计多微网非零和博弈协同框架，并采用交替方向乘子法迭代优化微网间电力交易量和电价的分配策略，以实现多主体利益均衡；最后，引入纳什谈判机制协调合作收益分配，确保点对点交易的公平性。结果表明，所提方法为高比例新能源接入下多微网协同调度提供了兼顾经济性与鲁棒性的解决方案。
Abstract：Aimed at the problems of low utilization of renewable energy and high operation costs in a multi-microgrid system,a distributed collaborative scheduling method based on distributionally robust optimization and non-zero-sum game is proposed in this paper. First,a distributionally robust optimization(DRO)model based on the Wasserstein distance is constructed to quantify the impact of renewable energy output fluctuations in multi-energy microgrids by defining ambiguity sets for uncertainty probability distributions. Second,a non-zero-sum game collaborative framework for multiple microgrids is designed,and the alternating direction method of multipliers is employed to iteratively optimize the allocation strategies for electricity transaction quantities and electricity prices among microgrids,so as to achieve a balance of revenues among multiple entities. Finally,the Nash bargaining mechanism is introduced to coordinate the distribution of collaborative revenues,thus ensuring the fairness of peer-to-peer(P2P)transactions. The analysis result demonstrates that the proposed method provides a solution that balances the economic efficiency and robustness for the collaborative scheduling of multi-microgrid with high penetration of renewable energy.
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基本信息:
DOI：10.19635/j.cnki.csu-epsa.001622
中图分类号:TM73
引用信息:
[1]孟奕泽,尹喆,张一帆,等.基于分布鲁棒-非零和博弈的多微网分布式协同调度[J].电力系统及其自动化学报,2025,37(12):86-95.DOI:10.19635/j.cnki.csu-epsa.001622.
基金信息:
林芝市科技计划项目（ZYYDDF2024-03）
2025-01-23
2025
2025-12-26
2025
1
2025-04-28
2025-04-28
2025-04-28