{"title":"Analysis of vulnerability of the Latvian electrical power system","authors":"Aleksejs Soboļevskis, I. Zicmane","doi":"10.1109/EEEIC.2016.7555880","DOIUrl":null,"url":null,"abstract":"The electric power system (EPS) is exposed to small and large impacts during operation, such as changes of loads, commutation of circuit elements, changes of generation of active and reactive power, the impact of automation, (all of them are examples of normal relatively small disturbances), as well as short circuits, large load resets and load surge, unauthorized shutdown of equipment, work of protections and anti-damage automation (those are examples of large disturbances). The purpose of this paper is to provide methods for detection of network parameters that are most vulnerable (voltage drop) to external impacts (sensors), determine their relationship with EPS parameters, try to use this information for improvement of EPS behavioural properties. Thus, availability of information on the location of sensors allows determining and controlling nodes, in which the biggest oscillations of operational parameters are observed due to disturbances in the system.","PeriodicalId":246856,"journal":{"name":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2016.7555880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The electric power system (EPS) is exposed to small and large impacts during operation, such as changes of loads, commutation of circuit elements, changes of generation of active and reactive power, the impact of automation, (all of them are examples of normal relatively small disturbances), as well as short circuits, large load resets and load surge, unauthorized shutdown of equipment, work of protections and anti-damage automation (those are examples of large disturbances). The purpose of this paper is to provide methods for detection of network parameters that are most vulnerable (voltage drop) to external impacts (sensors), determine their relationship with EPS parameters, try to use this information for improvement of EPS behavioural properties. Thus, availability of information on the location of sensors allows determining and controlling nodes, in which the biggest oscillations of operational parameters are observed due to disturbances in the system.