基于多源大数据的智能配电网停电故障分析与优化配置研究  

Research on outage fault analysis and optimal configuration of intelligent distribution network based on multi-source Big data

作　　者：周鑫 罗燕萍 戎骏 何娟 郑高珊 ZHOU Xin;LUO Yanping;RONG Jun;HE Juan;ZHENG Gaoshan(State Grid Meishan Power Supply Company,Meishan Sichuan 620000,China;State Grid Sichuan Economic Research Institute,Chengdu 610041,China;Beijing Guodiantong Network Technology Co.,Ltd,Beijing 100071,China)

机构地区：[1]国网眉山供电公司,四川眉山620000 [2]国网四川省电力公司经济技术研究院,成都610041 [3]北京国电通网络技术有限公司,北京100071

出　　处：《自动化与仪器仪表》2024年第3期101-105,共5页Automation & Instrumentation

基　　金：《基于云数平台的线网智能运维技术研究》(XD-JY-2022063)。

摘　　要：针对配电网故障分析,提出了基于大数据和智能技术的主动配电网模式,以实现可靠性和经济性的双重协调。在该研究中,采用了多源多特征融合的研判方法,同时考虑了时空特性和选择合适的辅助决策方法。另外,研究针对分布式电源接入和N-1故障的挑战,从供电接入和故障情况下兼顾稳定状况与经济状况两个角度切入,建立双重配电网络。数据表明,潮流结果方面,双层规划相比单层规划更加平滑,并且趋于稳定在0 pu左右。双层规划年利润从6674万元提升到6785万元,网损从388万元降低到264万元。结果表明双层规划遗传算法在智能配电网停电故障配置优化中具有显著的效果,实现了可靠性和经济性的双重协调优化。For distribution network fault analysis,an active distribution network mode based on Big data and intelligent technology is proposed to achieve dual coordination of reliability and economy.In this study,a multi-source and multi feature fusion method was adopted,while considering spatiotemporal characteristics and selecting appropriate auxiliary decision-making methods.In addition,a dual planning model for the economy and stability of distribution networks under distributed power supply access and N-1 faults was constructed to address the challenges of distributed power supply access and N-1 faults.The results show that the comprehensive expected value of the planning model tends to converge after about 47 iterations,proving that the algorithm has strong convergence ability.In terms of trend results,double-layer planning is smoother than single-layer planning and tends to stabilize at around 0pu.The annual profit of the dual level planning increased from 66.74 million yuan to 67.85 million yuan,and the network loss decreased from 3.88 million yuan to 2.64 million yuan.The results indicate that the bilevel programming genetic algorithm has significant effectiveness in optimizing the configuration of power outage faults in intelligent distribution networks,achieving dual coordination optimization of reliability and economy.

关 键 词：多源数据 配电网 停电故障 优化配置 遗传算法 双层规划 

分 类 号：TM73[电气工程—电力系统及自动化]