Naichao Song, Zhiyong Zhao, Mingming Li, Ruiqi Wang, Weijun Li, Yang Liu, R. Song, Jiaming Yin, Ruiling Xi
{"title":"基于多准则的有功配电网故障区段定位","authors":"Naichao Song, Zhiyong Zhao, Mingming Li, Ruiqi Wang, Weijun Li, Yang Liu, R. Song, Jiaming Yin, Ruiling Xi","doi":"10.1109/ICESGE56040.2022.10180386","DOIUrl":null,"url":null,"abstract":"With the distributed generator (DG) and active load infiltrating into the distribution network, the interaction between load and power source in the new generation distribution network will be increasingly enhanced. As a result, the fault location method based on single measurement information is no longer applicable. In this paper, we determine the approximate area of the fault location with obtaining the residual value of state estimation. Further, by analyzing the change of Clarke current phase angle difference at both ends of each section, the fault criterion in the line section is obtained, and the fault is located according to this criterion. The proposed method requires the measurement data from supervisory control and data acquisition (SCADA), power quality monitoring system (PQMS), as well as other monitoring systems to implement state estimation and requires the current measurement data to carry out Clark Transformation. Moreover, the phase-angle differences of the Clark currents of the selected sections are sent to the master server to judge which section has faulted. Finally, an example is given to demonstrate the availability and accuracy of the method with MATLAB/Simulink. The result shows that the measurement information and criterion increase is achieved more effectively by improving fault section location.","PeriodicalId":120565,"journal":{"name":"2022 International Conference on Environmental Science and Green Energy (ICESGE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple Criteria-Based Fault Sections Location for Active Distribution Network\",\"authors\":\"Naichao Song, Zhiyong Zhao, Mingming Li, Ruiqi Wang, Weijun Li, Yang Liu, R. Song, Jiaming Yin, Ruiling Xi\",\"doi\":\"10.1109/ICESGE56040.2022.10180386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the distributed generator (DG) and active load infiltrating into the distribution network, the interaction between load and power source in the new generation distribution network will be increasingly enhanced. As a result, the fault location method based on single measurement information is no longer applicable. In this paper, we determine the approximate area of the fault location with obtaining the residual value of state estimation. Further, by analyzing the change of Clarke current phase angle difference at both ends of each section, the fault criterion in the line section is obtained, and the fault is located according to this criterion. The proposed method requires the measurement data from supervisory control and data acquisition (SCADA), power quality monitoring system (PQMS), as well as other monitoring systems to implement state estimation and requires the current measurement data to carry out Clark Transformation. Moreover, the phase-angle differences of the Clark currents of the selected sections are sent to the master server to judge which section has faulted. Finally, an example is given to demonstrate the availability and accuracy of the method with MATLAB/Simulink. The result shows that the measurement information and criterion increase is achieved more effectively by improving fault section location.\",\"PeriodicalId\":120565,\"journal\":{\"name\":\"2022 International Conference on Environmental Science and Green Energy (ICESGE)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Environmental Science and Green Energy (ICESGE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICESGE56040.2022.10180386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Environmental Science and Green Energy (ICESGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESGE56040.2022.10180386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple Criteria-Based Fault Sections Location for Active Distribution Network
With the distributed generator (DG) and active load infiltrating into the distribution network, the interaction between load and power source in the new generation distribution network will be increasingly enhanced. As a result, the fault location method based on single measurement information is no longer applicable. In this paper, we determine the approximate area of the fault location with obtaining the residual value of state estimation. Further, by analyzing the change of Clarke current phase angle difference at both ends of each section, the fault criterion in the line section is obtained, and the fault is located according to this criterion. The proposed method requires the measurement data from supervisory control and data acquisition (SCADA), power quality monitoring system (PQMS), as well as other monitoring systems to implement state estimation and requires the current measurement data to carry out Clark Transformation. Moreover, the phase-angle differences of the Clark currents of the selected sections are sent to the master server to judge which section has faulted. Finally, an example is given to demonstrate the availability and accuracy of the method with MATLAB/Simulink. The result shows that the measurement information and criterion increase is achieved more effectively by improving fault section location.