广东电力2025，Vol.38Issue(9)：119-129,11.DOI:10.3969/j.issn.1007-290X.2025.09.011
模糊机会约束与图模型驱动的多目标配电网重构
Multi-objective Distribution Network Reconstruction Based on Fuzzy Chance Constraint and Graph Model-driven Approach
摘要
Abstract
In order to alleviate the challenges brought by the continuous load growth on the transmission capacity and power loss of distribution network,this paper proposes a multi-objective distribution network reconstruction(DNR)method considering fuzzy chance constraints and graphical computation mechanism drive.Firstly,a multi-objective optimization model based on entropy weight method is constructed for the weighing relationship between transmission cost and operation cost,which realizes the synergistic optimization of the distribution network structure and economy.Secondly,combining the uncertainty characteristics of load forecasting,the paper introduces the fuzzy chance constrained optimization method to enhance the robustness and adaptability of the model under uncertain environment without relying on the precise probability distribution.Finally,based on the consistency theory and the alternating direction multiplier method,a graph computation-driven distributed solving framework is designed to achieve efficient optimization of multi-region DNR,while safeguarding the privacy and security of user data.Simulation results show that the proposed method combines good convergence,robustness and economy while reducing the comprehensive cost of the system.关键词
多目标配电网重构/图计算/同步型交替方向乘子法/不确定性/熵权法Key words
multi-objective distribution network reconstruction/graph computation/synchronous alternating direction multiplicator method(SADMM)/uncertainty/entropy weight method分类
信息技术与安全科学引用本文复制引用
朱红,胡子健,许洪华..模糊机会约束与图模型驱动的多目标配电网重构[J].广东电力,2025,38(9):119-129,11.基金项目
国家重点研发计划项目(2022YFB2404200) （2022YFB2404200）
国网江苏省电力有限公司科技项目(J2023066) （J2023066）
