摘要
为缓解负荷持续增长对配电网络传输能力与功率损耗带来的挑战,提出一种考虑模糊机会约束与图计算机制驱动的多目标配电网重构方法。首先,针对传输成本与运行成本之间的权衡关系,构建基于熵权法的多目标优化模型,实现配电网结构与经济性的协同优化。其次,结合负荷预测的不确定性特征,引入模糊机会约束优化方法,在无需依赖精确概率分布的前提下,提升模型在不确定环境下的鲁棒性与适应性。最后,基于一致性理论与交替方向乘子法,设计图计算驱动的分布式求解框架,实现多区域配电网重构的高效优化,同时保障用户数据的隐私安全。仿真结果表明,所提方法在降低系统综合成本的同时,兼具良好的收敛性、鲁棒性与经济性。
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.
作者
朱红
胡子健
许洪华
ZHU Hong;HU Zijian;XU Honghua(Nanjing Power Supply Branch of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing,Jiangsu 210000,China)
出处
《广东电力》
北大核心
2025年第9期119-129,共11页
Guangdong Electric Power
基金
国家重点研发计划项目(2022YFB2404200)
国网江苏省电力有限公司科技项目(J2023066)。
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
multi-objective distribution network reconstruction
graph computation
synchronous alternating direction multiplicator method(SADMM)
uncertainty
entropy weight method
