摘要
新型电力系统背景下,必然会出现大量小规模微网多点并入配电网,配电网与多微网协同优化运行面临决策变量维数高、多主体优化目标复杂、单小主体入网互动随机性强等难点。文中提出基于随机演化动力学的多微网-配电网自组织协同调节策略,旨在提高系统多利益主体的自发演化优化能力以及单小主体随机入网互动的抗干扰能力。首先,建立了基于公共品价格响应的多微网-配电网多维资源调节模型,降低了多主体优化的变量维数。然后,提出了基于随机演化稳定判据的自组织演化策略,通过多利益主体二项分布下的演化效用函数将多优化目标转为“合作-非合作”二维目标,并通过计及随机涨落力的演化动力过程获得自发协调运行能力,以有效应对单小微网随机特性影响。最后,对改进IEEE 37节点系统进行了仿真,通过多典型场景下多算法对比实验,验证了所提策略的有效性。
In the background of the new power system, a large number of small-scale microgrids will inevitably be integrated into the distribution network at multiple points, and the cooperative optimization operation of the distribution network and multiple microgrids faces difficulties such as high dimensionality of decision variables, complex optimization objectives of multiple subjects,and strong randomness of single small subject access interaction. This paper proposes a self-organized cooperative regulation strategy for the microgrid-distribution network(MG-DN)based on stochastic evolutionary dynamics. It aims to improve the spontaneous evolutionary optimization ability of the multiple benefit subjects and the anti-interference ability of single small entities with random access. First, a multi-dimensional resource regulation model based on the public goods price response for the multiMG-DN system is established to reduce the dimensionality of variables for multi-subject optimization. Then, a self-organized evolution strategy based on the stochastic evolutionary stability criterion is proposed. The multi-optimization objective is transformed into a two-dimensional objective of “cooperation and non-cooperation” through an evolutionary utility function under the binomial distribution of multiple benefit subjects. And the spontaneous coordinated operation capability is obtained by the evolutionary dynamics process taking into account the stochastic fluctuation forces to effectively cope with the infulence of stochastic characteristics of the single small microgrid. Finally, the modified IEEE 37-bus system is simulated. The effectiveness of the proposed strategy is verified through multi-algorithm comparison experiments in multiple typical scenarios.
作者
陈中
陈嘉琛
万玲玲
CHEN Zhong;CHEN Jiachen;WAN Lingling(School of Electrical Engineering,Southeast University,Nanjing 210096,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2023年第2期24-33,共10页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(52077035)。
关键词
多微网-配电网调节
多利益主体
随机演化动力学
自组织调节
自发优化
multi-microgrid-distribution network regulation
multiple benefit subjects
stochastic evolutionary dynamics
self-organized regulation
spontaneous optimization
