A. Moiseichenkov, P. Kovalenko, M. Senyuk, V. Mukhin
{"title":"Synchronous Machine Adaptive Model for Power System Emergency Control and Technical State Diagnostic","authors":"A. Moiseichenkov, P. Kovalenko, M. Senyuk, V. Mukhin","doi":"10.1109/usec50097.2020.9281185","DOIUrl":null,"url":null,"abstract":"The adaptive model of the synchronous machine for electric mode control with parameter selection based on operating mode data is presented in the paper. The structure of the model changes depending on the set of measurements. The mathematical description of the model core is given. The example of calculation for measurement results of electric mode parameters of the hydro-generator with full rated power 370 MVA during the real electromechanical transient process is conducted and explained. The inertia moment of the turbine’s and hydro-generator’s rotating mass was determined based on the calculation. The suggested adaptive model can be applied to emergency control tasks, including post-event emergency control and estimation of technical conditions of synchronous machines. It is shown, that response of adaptive model of the synchronous machine depends on measurement sampling rate. The adaptive model of the synchronous machine can be used for represent a complex load and an external equivalent of power system.","PeriodicalId":236445,"journal":{"name":"2020 Ural Smart Energy Conference (USEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Ural Smart Energy Conference (USEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/usec50097.2020.9281185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The adaptive model of the synchronous machine for electric mode control with parameter selection based on operating mode data is presented in the paper. The structure of the model changes depending on the set of measurements. The mathematical description of the model core is given. The example of calculation for measurement results of electric mode parameters of the hydro-generator with full rated power 370 MVA during the real electromechanical transient process is conducted and explained. The inertia moment of the turbine’s and hydro-generator’s rotating mass was determined based on the calculation. The suggested adaptive model can be applied to emergency control tasks, including post-event emergency control and estimation of technical conditions of synchronous machines. It is shown, that response of adaptive model of the synchronous machine depends on measurement sampling rate. The adaptive model of the synchronous machine can be used for represent a complex load and an external equivalent of power system.