{"title":"Determination of types of disturbances and asymmetries in the electric network using PMU measurements","authors":"A. Elizarova, I.S. Zapasova, T. Klimova","doi":"10.1109/RPA47751.2019.8958091","DOIUrl":null,"url":null,"abstract":"The identification of disturbances and asymmetries that occur in the network for a number of different reasons are important parts of operational-dispatching management. Accurate and timely characterization of disturbances occurring in the power system will improve the quality of power system management. In turn, early detection of abnormal operating conditions is necessary to maintain normal operation of the intact part of the power system, since the conditions in question lead to a voltage, current and frequency deviation, which may cause a loss of stability of the power system and damages of equipment and lines. In this paper, data from phasor measurement units (PMU) obtained in real time are used for solving the considered problem. This allows accelerating the detection of abnormal operating conditions and disturbance analysis by determining the type of disturbance / type of fault and showing the obtained results.","PeriodicalId":268768,"journal":{"name":"2019 2nd International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RPA47751.2019.8958091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The identification of disturbances and asymmetries that occur in the network for a number of different reasons are important parts of operational-dispatching management. Accurate and timely characterization of disturbances occurring in the power system will improve the quality of power system management. In turn, early detection of abnormal operating conditions is necessary to maintain normal operation of the intact part of the power system, since the conditions in question lead to a voltage, current and frequency deviation, which may cause a loss of stability of the power system and damages of equipment and lines. In this paper, data from phasor measurement units (PMU) obtained in real time are used for solving the considered problem. This allows accelerating the detection of abnormal operating conditions and disturbance analysis by determining the type of disturbance / type of fault and showing the obtained results.