基于AMI量测信息的低压配电网拓扑校验方法

doi:10.11930/j.issn.1004-9649.201805105

中国电力 ›› 2019, Vol. 52 ›› Issue (2): 125-133.DOI: 10.11930/j.issn.1004-9649.201805105

基于AMI量测信息的低压配电网拓扑校验方法

闫卫国¹, 王高猛², 林济铿³, 郭凌旭¹, 蒋菱¹, 陈建¹

1. 国网天津市电力公司, 天津 300010;
2. 天津大学智能电网教育部重点实验室, 天津 300072;
3. 同济大学电子与信息工程学院, 上海 201804

收稿日期:2018-05-21 修回日期:2018-08-24 出版日期:2019-02-05 发布日期:2019-03-27
作者简介:闫卫国(1962-),男,高级工程师,从事电网企业生产管理,E-mail:yanwgdl62@163.com;王高猛(1992-),男,硕士研究生,从事电力系统的优化与控制、配电自动化,E-mail:18720981412@163.com
基金资助:
国家电网公司科技项目（城市配电网参数辨识与运行分析技术研究，KJ17-1-09）。

Method for LV Distribution Network Topology Verification Based on AMI Metering Data

YAN Weiguo¹, WANG Gaomeng², LIN Jikeng³, GUO Lingxu¹, JIANG Ling¹, CHEN Jian¹

1. State Grid Tianjin Electric Company, Tianjin 300010, China;
2. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;
3. College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China

Received:2018-05-21 Revised:2018-08-24 Online:2019-02-05 Published:2019-03-27

摘要/Abstract

摘要： 针对目前低压配电网络拓扑连接关系辨识的难题，提出了一种基于AMI量测信息的低压配电网拓扑校验方法。该方法首先借助高级量测体系AMI提供的负荷量测信息以及网络数据，得出同一配电变压器下各负荷所属耦合节点电压以及所属支路电流，然后分别求得所有负荷间耦合节点电压和支路电流的相关系数，进行相关性分析，即相关性强的负荷同属于同一馈线，进而确定各负荷所属的馈线；之后根据负荷的耦合节点电压幅值大小，确定各负荷在所属馈线中的上下游关系，最后通过相关性分析结果以及负荷的耦合节点电压分布，对存在错误连接关系的负荷进行修正，最终完成低压配电网络拓扑的校验与修正。算例证明了该算法的可行性与有效性。

关键词: 高级量测体系, 低压配电网, 相关性分析, 拓扑校验, 拓扑修正

Abstract: Aiming at the problem of topology error identification in low voltage distribution network, a method is proposed for low voltage (LV) distribution network topology verification based on AMI metering data. Based on the loads measurement information and network data provided by the advanced measurement system, the method firstly calculates the voltage at the coupling node and the associated branch current of each load under the same distribution, and then separately calculates the correlation coefficients of the coupling node voltages and the branch currents among all the loads for correlation analysis. In this way, the highly correlated loads falls into the same feeder, consequently determining the feeders to which each load belongs. According to the magnitude of the voltage of the coupling nodes of the loads, the upstream and downstream relationships of each load in the same feeder are determined. Finally, the load of the error connection is corrected based on the correlation analysis results and the voltage distribution of the coupling nodes of the load. The topology verification and correction of the LV distribution network are thus completed. The case study has verified the feasibility and effectiveness of the proposed method.

Key words: advanced meter infrastructure, low voltage distribution network, correlation analysis, topology verification, topology correction

中图分类号:

TM711
TM727

闫卫国, 王高猛, 林济铿, 郭凌旭, 蒋菱, 陈建. 基于AMI量测信息的低压配电网拓扑校验方法[J]. 中国电力, 2019, 52(2): 125-133.

YAN Weiguo, WANG Gaomeng, LIN Jikeng, GUO Lingxu, JIANG Ling, CHEN Jian. Method for LV Distribution Network Topology Verification Based on AMI Metering Data[J]. Electric Power, 2019, 52(2): 125-133.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201805105

https://www.electricpower.com.cn/CN/Y2019/V52/I2/125

参考文献

[1] 陈艳波, 周京阳, 于尔铿, 等. 转移潮流法拓扑错误辨识[J]. 电力系统自动化, 2010, 34(1):20-24 CHEN Yanbo, ZHOU Jingyang, YU Erkeng, et al. Transfer power flow approach to topology error identification[J]. Automation of Electric Power Systems, 2010, 34(1):20-24
[2] 陈艳波, 何光宇, 周京阳, 等. 基于改进转移潮流法的拓扑错误辨识方法[J]. 电网技术, 2012, 36(1):95-100 CHEN Yanbo, HE Guangyu, ZHOU Jingyang, et al. An improved power flow transfer approach with enhanced ability to identify topology error and bad data[J]. Power System Technology, 2012, 36(1):95-100
[3] 陈艳波, 周京阳, 于尔铿, 等. 基于转移潮流的状态估计模型[J]. 电力系统自动化, 2010, 34(2):39-42 CHEN Yanbo, ZHOU Jingyang, YU Erkeng, et al. Novel active power filter with double-resonance injection circuit and its control strategy[J]. Automation of Electric Power Systems, 2010, 34(2):39-42
[4] 潘莉丽, 刘建华, 彭铖, 等. 电网结构发生变化时潮流转移的快速识别[J]. 电网技术, 2011, 35(6):118-121 PAN Lili, LIU Jianhua, PENG Cheng, et al. Fast recognition of power flow transferring under change of power network topology[J]. Power System Technology, 2011, 35(6):118-121
[5] 周苏荃, 柳焯. 新息图法拓扑错误辨识[J]. 电力系统自动化, 2000, 24(4):23-27 ZHOU Suquan, LIU Zhuo. An innovation graph approach to topology error identification[J]. Automation of Electric Power Systems, 2000, 24(4):23-27
[6] 周苏荃, 李昌, 柳焯. 加权新息图法识别小潮流支路拓扑错误[J]. 电力系统自动化, 2001, 25(5):27-30 ZHOU Suquan, LI Chang, LIU Zhuo. A weighted innovation graph approach for identifying topology errors on branches with small load flow[J]. Automation of Electric Power Systems, 2001, 25(5):27-30
[7] 周苏荃, 柳焯. 新息图法识别多重网络结构动态变化[J]. 中国电机工程学报, 2001, 21(10):67-72 ZHOU Suquan, LIU Zhuo. Identification of multiple dynamic network structure changes by the innovation graph approach[J]. Proceedings of the CSEE, 2001, 21(10):67-72
[8] 周苏荃, 张艳军. 新息图状态估计中多相关不良数据辨识[J]. 电力系统自动化, 2008, 20(4):1-6 ZHOU Suquan, ZHANG Yanjun. Multiple interacting bad data identification for innovation graph technique[J]. Automation of Electric Power Systems, 2008, 20(4):1-6
[9] 周苏荃, 柳焯. 新息图的智能特征[J]. 电力系统自动化, 2000, 24(13):15-19 ZHOU Suquan, LIU Zhuo. The intelligent characteristics of the innovation graph[J]. Automation of Electric Power Systems, 2000, 24(13):15-19
[10] SOUZA J C S, LEITE da SILVA A M, ALVES da SILVA A P. Data debugging for real-time power system monitoring based on pattern analysis[J]. IEEE Transactions on Power Systems, 1996, 11(3):1592-1599.
[11] SOUZA J C S, LEITE DA SILVA A M, ALVES DA SILVA A P. On line topology determination and bad data suppression in power system operation using artificial neutral networks[J]. IEEE Transactions on Power Systems, 1998, 13(3):796-803.
[12] CHEN Jian, ABUR A. Enhanced topology error processing via optimal measurement design[J]. IEEE Transactions on Power Systems, 2008, 23(3):845-852.
[13] ASADA E N, GARCIA A V, ROMERO R. Identifying multiple interacting bad data in power system state estimation[C]//IEEE Power Engineering Society General Meeting, San Francisco, CA, USA, 2005:571-577.
[14] 王彬, 王治华, 周宁慧, 等. 基于集合论估计的电网状态辨识:(五)拓扑错误识别[J]. 电力系统自动化, 2016, 40(9):9-15 WANG Bin, WANG Zhihua, ZHOU Ninghui, et al. Power system state identification based on set theory Estimation part five topology error identification[J]. Automation of Electric Power Systems, 2016, 40(9):9-15
[15] 孙宏斌, 高峰, 张伯明, 等. 最小信息损失状态估计在拓扑错误辨识中的应用[J]. 中国电机工程学报, 2005, 25(18):1-5 SUN Hongbin, GAO Feng, ZHANG Boming, et al. Application of minimum information loss based state estimation to topology error identification[J]. Proceedings of the CSEE, 2005, 25(18):1-5
[16] 孙宏斌, 高峰, 张伯明. 最小信息损失状态估计中潮流和拓扑统一估计的通用理论[J]. 中国电机工程学报, 2005, 25(17):1-4 SUN Hongbin, GAO Feng, ZHANG Boming. Minimum information loss based state estimation:general theory for unified estimation of power flow and topology[J]. Proceedings of the CSEE, 2005, 25(17):1-4
[17] SINGH N, GLAVITSCH H. Detection and identification of topological errors in online power system analysis[J]. IEEE Transactions on Power Systems, 1991, 6(1):324-331.
[18] SINGH N, OESCH F. Practical experience with rule-based on-line topology error detection[J]. IEEE Transactions on Power Systems, 1994, 9(2):841-847.
[19] 黄滔, 卢建刚, 张辉. 广东省调提高状态估计计算精度的措施[J]. 电网技术, 2004, 28(16):78-81 HUANG Tao, LU Jiangang, ZHANG Hui. Measures to improve state estimation calculation accuracy in Guangdong provincial power dispatching centre[J]. Power System Technology, 2004, 28(16):78-81
[20] SOUZA J C S, LEITE da SILVA A M, ALVES da SILVA A P. On line topology determination and bad data suppression in power system operation using artificial neutral networks[J]. IEEE Transactions on Power Systems, 1998, 13(3):796-803. SOUZA J C S, LEITE da SILVA A M, ALVES da SILVA A P. Data debugging for real-time power system monitoring based on pattern analysis[J]. IEEE Transactions on Power Systems, 1996, 11(3):1592-1599.
[22] FARLOW S J. Self-organizing methods in modeling[J]. Marcel Dekker, 1984.
[23] WENGPENG L, JOSHUA P, MIRJANA M, et al. Smart meter data analytics for distribution network connectivity verification[J]. IEEE Transactions on Smart Grid, 2015, 6(4):1964-1971.

基于AMI量测信息的低压配电网拓扑校验方法

Method for LV Distribution Network Topology Verification Based on AMI Metering Data

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	孙庆超, 李嘉靓, 江万里, 王若愚, 李植鹏, 胡亚荣, 朱健斌. 基于数据驱动时空网络的城市中长期电力负荷预测[J]. 中国电力, 2025, 58(3): 168-174.
[2]	陈仕龙, 吴涛, 郭成, 毕贵红, 钱永亮. 基于相关性分析的电网非同步监测数据场景谐波责任划分[J]. 中国电力, 2025, 58(1): 15-25.
[3]	刘抒睿, 李培强, 陈家煜, 郭雅诗. 基于VMD分解下的皮尔逊相关性分析及T-tFD的混合储能容量配置[J]. 中国电力, 2024, 57(7): 82-97.
[4]	吴军英, 路欣, 刘宏, 张彬, 柴守亮, 刘蕴春, 王佳楠. 基于Spearman-GCN-GRU模型的超短期多区域电力负荷预测[J]. 中国电力, 2024, 57(6): 131-140.
[5]	徐峰亮, 王克谦, 王文豪, 王鹏, 王文烨, 张帅, 赵凤展. 计及激励型需求响应的低压配电网混合储能优化配置[J]. 中国电力, 2024, 57(6): 90-101.
[6]	周洋, 黄德志, 李培栋, 冀凯琳, 刘学峰, 谭洪. 考虑平衡端点相位不对称及光伏接入的低压配电网三相潮流模型[J]. 中国电力, 2024, 57(10): 190-198.
[7]	张子桐, 周群, 佃钰林, 官子超, 印月, 冷敏瑞, 刘雪山. 基于μPMU测量数据的配电网线路阻抗参数估计[J]. 中国电力, 2023, 56(8): 157-165.
[8]	颜湘武, 王晨光, 贾焦心, 马宏斌. 基于小交流信号的低压配电网中分布式光伏辅助调压控制策略[J]. 中国电力, 2022, 55(5): 134-142.
[9]	邵尹池, 袁绍军, 孙荣富, 吴林林, 陈璨. 基于空间相关性的分布式光伏实用化功率预测及误差分析[J]. 中国电力, 2021, 54(7): 185-191,207.
[10]	姚永峰, 王启哲, 王慧萍, 贾佳, 夏西宾. 基于邻接矩阵的低压配电网故障区段定位方法[J]. 中国电力, 2021, 54(11): 91-96,114.
[11]	秦子健, 石季英, 魏文辉, 林济铿, 张新伦, 武琳. 中低压配电网综合效益评估方法研究[J]. 中国电力, 2019, 52(8): 34-44.
[12]	王旭东, 王高猛, 林济铿, 康宁, 丁一, 刘辉. 基于AMI量测信息的低压配电网线路参数辨识方法[J]. 中国电力, 2019, 52(5): 63-69.
[13]	张磐, 张愉, 丁一, 李武兴, 姜惠兰, 陈娟. 基于微扰法的低压有源配电网故障定位方法[J]. 中国电力, 2018, 51(12): 63-71.
[14]	王伟, 于建成, 姚程, 霍现旭, 田娜, 刘建宇, 姚勋. 非侵入式低压配电网短路事故检测及定位方法[J]. 中国电力, 2017, 50(5): 78-83.
[15]	杨茂，董骏城. 一种多输出模型的风电功率超短期预测方法[J]. 中国电力, 2016, 49(12): 127-132.

模态框（Modal）标题

基于AMI量测信息的低压配电网拓扑校验方法

Method for LV Distribution Network Topology Verification Based on AMI Metering Data

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics