摘要
在多主体能源共享背景下,提出一种基于三重博弈的多微网-产消者群自适应鲁棒分布式协同优化。首先,构建三重博弈框架模拟多微网-产消者群的能源交易模型,即上层多微网系统合作博弈,各微网与其下层产消者群主从博弈,下层产消者群联盟合作博弈。其次,考虑到多微网系统内部受可再生能源出力、负荷功率随机性,外部受日前电价波动性等多重不确定性影响较大,各微网建立两阶段自适应鲁棒优化(adaptive robust optimization,ARO)模型,在第一阶段优化微网与外部主体的交易策略,包括与其他微网的合作博弈、与产消者群的主从博弈以及与配网日前电价的不确定性;在第二阶段基于多面体不确定集来决策微网内部源荷的不确定性,优化本地机组的调度策略。然后,对于各层合作博弈收益,采用改进纳什谈判模型对其进行分配。最后,采用一种可变惩罚参数交替方向乘子法-列与约束生成算法(variable penalty parameters alternating direction multiplier method-column and constraint generation,VPPADMM-C&CG)分布式求解三重博弈ARO模型,以保护各主体的隐私。通过不同博弈场景的算例结果对所提模型能够实现多微网-产消者群社会总成本最小化及效益最大化进行了验证,可为不确定环境下多微网-产消者群协同优化提供参考。
In the context of multi-agent energy sharing,an adaptive robust distributed collaborative optimization method is proposed for a multi-microgrid-prosumer group based on the triple game.Firstly,a triple game framework is constructed to simulate the energy trading model of the multi-microgrid-prosumer group,that is,the cooperative game of the upper-layer multi-microgrid system,the Stackelberg game between each microgrid and the lower-level prosumer group,and the cooperative game of the alliance of the lower-level prosumer group.Secondly,considering that the multi-microgrid system is greatly affected by multiple uncertainties,such as the randomness of renewable energy output and load power internally and the volatility of day-ahead electricity prices externally,a two-stage Adaptive Robust Optimization(ARO)model is established for each microgrid,the trading strategy between the microgrid and external entities will be optimized in the first stage,including the cooperation game with other microgrids,the Stackelberg game with the prosumer group,and the uncertainty of day-ahead electricity prices with the distribution network;the source and load uncertainty of the microgrid is determined based on the polyhedral uncertainty set in the second stage,and the scheduling strategy of the local unit is optimized.Furthermore,the improved Nash bargaining model is used to distribute the benefits of cooperative games at all levels.Finally,a Variable Penalty Parameters Alternating Direction Multiplier Method-Column and Constraint Generation(VPPADMM-C&CG)distributed solution triple game ARO model is used to protect the privacy of each subject.Through the results of different game scenarios,it is verified that the triple game ARO model in this paper can minimize the total social cost and maximize the benefits of multi-microgrid-prosumer groups,which provides a reference for the collaborative optimization of multi-microgrid-prosumer groups in uncertain environments.
作者
徐艳春
章世聪
张涛
王凌云
MI Lu
XU Yanchun;ZHANG Shicong;ZHANG Tao;WANG Lingyun;MI Lu(Hubei Key Laboratory for Operation and Control of Cascaded Hydropower Station(China Three Gorges University),Yichang 443002,Hubei Province,China;Shenzhen Power Supply Co.,Ltd.,Shenzhen 518000,Guangdong Province,China;Department of Electrical and Computer Engineering,Texas A&M University,College Station,Texas 77840,USA)
出处
《电网技术》
EI
CSCD
北大核心
2024年第10期4143-4156,I0058-I0061,I0057,共19页
Power System Technology
基金
国家自然科学基金项目(52277108)。
