Y. Tepikin, F. N. Gaidamakin, E. Satsuk, D. M. Dubinin
{"title":"Turbine–Generating Unit Model Automatic Verification Tool Design Based On PMU Data","authors":"Y. Tepikin, F. N. Gaidamakin, E. Satsuk, D. M. Dubinin","doi":"10.1109/rpa53216.2021.9628871","DOIUrl":null,"url":null,"abstract":"Quality control of mathematical simulation models of power system equipment is carried out by their verification. We assume verification is the process of mathematical model correctness estimation through comparison of the reference (measured) and the model response (simulated) signals with their current operating mode. The quality of power system equipment’s models affects the calculation tasks performance accuracy when determining appropriate modes and ensuring power systems reliable operation, upgrades monitoring and control efficiency in normal and abnormal modes, and also allows to find diagnostic solution to electrical equipment operational status in real time. Nowadays, power system equipment models are developed based on documents received from electric power facilities holders. The traditional approach is models’ parameters actualization by means of corresponding tests for it [2],[7]. It is quite an intensive and expensive procedure, therefore it is a rare case. In addition, it has a disadvantage related to the human factor. For this reason, the agenda is the \"on-line\" methods development based on PMU data [9],[10]. It is important to note that sometimes there is a need to update the model structure itself, which may have a generalized form and, thereby cause a significant error. These factors should be considered as stimuli to design the automatic verification tool for turbine-generating unit mathematical model based on PMU data. This calls for:","PeriodicalId":343971,"journal":{"name":"2021 4th International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 4th International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/rpa53216.2021.9628871","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Quality control of mathematical simulation models of power system equipment is carried out by their verification. We assume verification is the process of mathematical model correctness estimation through comparison of the reference (measured) and the model response (simulated) signals with their current operating mode. The quality of power system equipment’s models affects the calculation tasks performance accuracy when determining appropriate modes and ensuring power systems reliable operation, upgrades monitoring and control efficiency in normal and abnormal modes, and also allows to find diagnostic solution to electrical equipment operational status in real time. Nowadays, power system equipment models are developed based on documents received from electric power facilities holders. The traditional approach is models’ parameters actualization by means of corresponding tests for it [2],[7]. It is quite an intensive and expensive procedure, therefore it is a rare case. In addition, it has a disadvantage related to the human factor. For this reason, the agenda is the "on-line" methods development based on PMU data [9],[10]. It is important to note that sometimes there is a need to update the model structure itself, which may have a generalized form and, thereby cause a significant error. These factors should be considered as stimuli to design the automatic verification tool for turbine-generating unit mathematical model based on PMU data. This calls for: