基于大数据分析的智能配电网状态监测与故障处理方法研究Research on smart distribution network condition monitoring and fault processing method based on big data analysis
柴谦益,郑文斌,潘捷凯,陆绍彬,温积群
摘要(Abstract):
针对智能配电网传统保护方法整定复杂、容错和适应性差等问题,基于大数据分析,提出并设计一套智能配电网状态监测及故障处理方法。该方法先后经过数据预处理、数据融合、数据分析与可视化以及状态辨识与处理共4个环节,将多电气特征量融合转变成为单个综合特征量,监测配电网运行状态,并能根据各个节点关联情况和局部异常因子大小实现对智能配电网故障区域的判定和定位。经RTDS半实物闭环测试,故障判定和定位准确性及可靠性较高,具有一定的参考价值。
关键词(KeyWords): 智能配电网;保护方法;大数据分析;状态监测;故障定位;故障处理
基金项目(Foundation): 国网温州供电公司群众性创新项目(5211WZ17003G)~~
作者(Author): 柴谦益,郑文斌,潘捷凯,陆绍彬,温积群
DOI: 10.16652/j.issn.1004-373x.2018.04.026
参考文献(References):
- [1]李晓晖.分布式电源对配电网继电保护影响的研究[D].北京:华北电力大学,2011.LI Xiaohui.Research on effect of distributed generation on protection of distribution system[D].Beijing:North China Electric Power University,2011.
- [2]雷金勇,李战鹰,卢泽汉,等.分布式发电技术及其对电力系统影响研究综述[J].南方电网技术,2011,5(4):46-50.LEI Jinyong,LI Zhanying,LU Zehan,et al.Review on the research of distributed generation technology and its impacts on electric power systems[J].Southern power system technology,2011,5(4):46-50.
- [3]BRAHMA S M,GIRGIS A A.Development of adaptive protection scheme for distribution systems with high penetration of distributed generation[J].IEEE transactions on power delivery,2003,19(1):56-63.
- [4]尚8).含分布式电源的配电网保护与优化运行研究[D].上海:上海交通大学,2015.SHANG Jin.Study on distribution network protection and optimization operation with distributed power[D].Shanghai:Shanghai Jiao Tong University,2015.
- [5]马静,王希,米超,等.含分布式电源的配电网自适应保护新方法[J].电网技术,2011,35(10):204-208.MA Jing,WANG Xi,MI Chao,et al.A new adaptive protection approach for distribution network containing distributed power supply[J].Power system technology,2011,35(10):204-208.
- [6]余琼,余胜,李晓晖.含分布式电源的配网自适应保护方案[J].电力系统保护与控制,2012,40(5):110-115.YU Qiong,YU Sheng,LI Xiaohui.An adaptive protection scheme for meshed distribution system with DG[J].Power system protection and control,2012,40(5):110-115.
- [7]王伟,杨伟光,高立忠,等.基于智能电网调度支持的居民用电侧自动需求响应系统[J].现代电子技术,2017,40(10):172-174.WANG Wei,YANG Weiguang,GAO Lizhong,et al.Research on automatic demand response system supported by smart power grid dispatching for residential electricity consumption[J].Modern electronics technique,2017,40(10):172-174.
- [8]李媛,武岩岩,王思琪.基于混沌时间序列的Elman神经网络工业用电预测[J].沈阳工业大学学报,2016,38(2):196-200.LI Yuan,WU Yanyan,WANG Siqi.Elman neural network for forecasting industrial electricity consumption based on chaotic time series[J].Journal of Shenyang University of Technology,2016,38(2):196-200.
- [9]孙强,傅旭华,王林钰,等.智能配用电系统综合效益分析模型研究[J].中国电机工程学报,2015,35(8):1829-1836.SUN Qiang,FU Xuhua,WANG Linyu,et al.Study on comprehensive benefit analysis model of smart distribution and utilization system[J].Proceedings of the CSEE,2015,35(8):1829-1836.
- [10]赵腾,张焰,张东霞.智能配电网大数据应用技术与前景分析[J].电网技术,2014,38(12):3305-3312.ZHAO Teng,ZHANG Yan,ZHANG Dongxia.Application technology of big data in smart distribution grid and its prospect analysis[J].Power system technology,2014,38(12):3305-3312.