基于DSCADA和μPMU数据融合的配电网运行拓扑辨识
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摘要
在配电网安装了配电网数据采集及监视控制系统(distribution network supervisory control and data acquisition,DSCADA)和部分节点安装少量微型同步相量测量装置(micro-synchronous phasor measurement unit,μPM U)情形下,提出了一种基于DSCADA和μPMU遥测数据融合的配电网运行拓扑辨识方法。首先,基于μPMU节点电压相位量测构建配电网拓扑变化时刻辨识模型,确定拓扑变化的时刻;然后,基于拓扑变化前后的节点电压变化,借助DSCADA和μPMU的遥测数据构建可能拓扑判据,缩小重构后可能拓扑的范围;最后,使用加权最小二乘法将DSCADA和μPMU遥测数据进行融合,估计出可能拓扑下的节点电压相位,并利用构建的拓扑相似度辨识模型辨识出实际拓扑。算例中考虑μPMU和DSCADA不同量测误差组合,对该算法辨识的准确性进行验证。
In the case of distribution network,distribution network supervisory control and data acquisition (DSCADA)system and a small number of micro synchronous phasor measurement units (μPMU) installed in some nodes of distribution network,a method for distribution network operation topology identification based on the fusion of DSCADA and μPMU telemetry data is proposed. Firstly,the identification model of topology change time is constructed on the basis of node voltage phase measurement by μPMU,and the time of topology change is identified. Then,on the basis of the node voltage changes before and after the topology changes,criteria for possible topologies is constructed with the help of DSCADA andμPMU telemetry data,and the possible range of the reconstructed topology is reduced. Finally,the weighted least squares method is used to fuse the DSCADA and μPMU telemetry data,to estimate the node voltage phase under the possible topologies,and to identify the actual topology by using the established topology similarity identification model. The accuracy of the algorithm is verified by considering different measurement error combinations of μPMU and DSCADA.
In the case of distribution network,distribution network supervisory control and data acquisition (DSCADA)system and a small number of micro synchronous phasor measurement units (μPMU) installed in some nodes of distribution network,a method for distribution network operation topology identification based on the fusion of DSCADA and μPMU telemetry data is proposed. Firstly,the identification model of topology change time is constructed on the basis of node voltage phase measurement by μPMU,and the time of topology change is identified. Then,on the basis of the node voltage changes before and after the topology changes,criteria for possible topologies is constructed with the help of DSCADA andμPMU telemetry data,and the possible range of the reconstructed topology is reduced. Finally,the weighted least squares method is used to fuse the DSCADA and μPMU telemetry data,to estimate the node voltage phase under the possible topologies,and to identify the actual topology by using the established topology similarity identification model. The accuracy of the algorithm is verified by considering different measurement error combinations of μPMU and DSCADA.
引文
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[14]李清然,张建成.含分布式光伏电源的配电网电压越限解决方案[J].电力系统自动化,2015,39(22):117-123.LI Qingran,ZHANG Jiancheng.Distribution grid voltage overrun solution w ith distributed photovoltaic pow er[J].Automation of Electric Pow er Systems,2015,39(22):117-123.
[15]ABBASI A R,SEIFI A R.A new coordinated approach to state estimation in integrated pow er systems[J].International Journal of Electrical Pow er&Energy Systems,2013,45(1):152-158.
[16]ANANTHAPADMANABHA T,KULKARNI A D,M ADHVARAJA,et al.Automatic meter reading(AM R)based distribution security monitoring and distribution-supervisory control and data acquisition(D-SCADA)control[J].Journal of Electrical and Electronics Engineering Research,2011,3(6):108-120.
[17]李昂,刘亚东,孙鹏,等.基于μPMU相位数据的配电网拓扑识别方法[J].智慧电力,2017,45(11):31-36.LI Ang,LIU Yadong,SUN Peng,et al.Distribution netw ork topology identification method based on phase data ofμPM U[J].Smart Pow er,2017,45(11):31-36.
[2]张晋芳,钱诚,王增平,等.基于广义基尔霍夫电流定律的电网系统拓扑分析新算法[J].电力自动化设备,2013,33(5):43-49.ZHANG Jinfang,QIAN Cheng,WANG Zengping,et al.A new algorithm for pow er system topology analysis based on generalized Kirchhoff current law[J].Electric Pow er Automation Equipment,2013,33(5):43-49.
[3]ZHAI H F,YANG M,CHEN B,et al.Dynamic reconfiguration of three-phase unbalanced distribution netw orks[J].International Journal of Electrical Pow er&Energy Systems,2018,99:1-10.
[4]DEKA D,BACKHAUS S,CHERTKOV M.Structure learning and statistical estimation in distribution netw orks:Part I[J].Eprint Arxiv,2015,PP(99):1.
[5]CAVRARO G,ARGHANDEH R,POOLLA K,et al.Data-driven approach for distribution netw ork topology detection[C]//2015IEEE Pow er&Energy Society General M eeting.IEEE,2015:1-5.
[6]DEKA D,BACKHAUS S,CHERTKOVY M.Estimating distribution grid topologies:A graphical learning based approach[C]//2016 Power Systems Computation Conference(PSCC).Genoa:IEEE,2016:1-7.
[7]宋杰,谢海宁,杨增辉,等.基于多源异构数据挖掘的配电网故障信息统计分析[J].电力系统保护与控制,2016,44(3):141-147.SONG Jie,XIE Haining,YANG Zenghui,et al.Statistical analysis of distribution netw ork fault information based on multi-source heterogeneous data mining[J].Pow er System Protection and Control,2016,44(3):141-147.
[8]谢潇磊,刘亚东,孙鹏,等.新型配电网线路PMU装置的研制[J].电力系统自动化,2016,40(12):15-20.XIE Xiaolei,LIU Yadong,SUN Peng,et al.Development of new PM U device for distribution netw ork line[J].Automation of Electric Pow er Systems,2016,40(12):15-20.
[9]司新跃,陈青,高湛军,等.基于电流相角突变量方向的有源配电网保护[J].电力系统自动化,2014,38(11):97-103.SI Xinyue,CHEN Qing,GAO Zhanjun,et al.Active distribution netw ork protection based on current phase angle mutation direction[J].Automation of Electric Power Systems,2014,38(11):97-103.
[10]李振坤,陈星莺,余昆,等.配电网重构的混合粒子群算法[J].中国电机工程学报,2008,28(31):35-41.LI Zhenkun,CHEN Xingying,YU Kun,et al.Hybrid particle sw arm optimization algorithm for distribution netw ork reconfiguration[J].Proceedings of the CSEE,2008,28(31):35-41.
[11]陈旭,张勇军,黄向敏.主动配电网背景下无功电压控制方法综述[J].电力系统自动化,2016,40(1):143-151.CHEN Xu,ZHANG Yongjun,HUANG Xiangmin.Overview of reactive pow er and voltage control methods under the background of active distribution netw ork[J].Automation of Electric Pow er Systems,2016,40(1):143-151.
[12]PAPPU S J,BHATT N,PASUMARTHY R,et al.Identifying topology of low voltage(LV)distribution netw orks based on smart meter data[J].IEEE Transactions on Smart Grid,2016,PP(99):1.
[13]王宾,孙华东,张道农.配电网信息共享与同步相量测量应用技术评述[J].中国电机工程学报,2015,35(S1):1-7.WANG Bin,SUN Huadong,ZHANG Daonong.Review of information sharing and synchronous phasor measurement application technology in distribution netw ork[J].Proceedings of the CSEE,2015,35(S1):1-7
[14]李清然,张建成.含分布式光伏电源的配电网电压越限解决方案[J].电力系统自动化,2015,39(22):117-123.LI Qingran,ZHANG Jiancheng.Distribution grid voltage overrun solution w ith distributed photovoltaic pow er[J].Automation of Electric Pow er Systems,2015,39(22):117-123.
[15]ABBASI A R,SEIFI A R.A new coordinated approach to state estimation in integrated pow er systems[J].International Journal of Electrical Pow er&Energy Systems,2013,45(1):152-158.
[16]ANANTHAPADMANABHA T,KULKARNI A D,M ADHVARAJA,et al.Automatic meter reading(AM R)based distribution security monitoring and distribution-supervisory control and data acquisition(D-SCADA)control[J].Journal of Electrical and Electronics Engineering Research,2011,3(6):108-120.
[17]李昂,刘亚东,孙鹏,等.基于μPMU相位数据的配电网拓扑识别方法[J].智慧电力,2017,45(11):31-36.LI Ang,LIU Yadong,SUN Peng,et al.Distribution netw ork topology identification method based on phase data ofμPM U[J].Smart Pow er,2017,45(11):31-36.
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