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Название: Detection and identification of bad power measurements in distribution networks using state estimation by synchronized voltages and currents
Авторы: Zelensky, E. G.
Зеленский, Е. Г.
Kononov, Y. G.
Кононов, Ю. Г.
Ключевые слова: Detection of bad measurement;Distribution networks;Identification of bad measurement;State estimation;Synchronized measurements;Electric variables measurement
Дата публикации: 2016
Издатель: IMEKO-International Measurement Federation Secretariat
Библиографическое описание: Zelenskii, E., Kononov, Y. Detection and identification of bad power measurements in distribution networks using state estimation by synchronized voltages and currents // 21st IMEKO TC-4 International Symposium on Understanding the World through Electrical and Electronic Measurement, and 19th International Workshop on ADC Modelling and Testing. - 2016. - Pages 164-169
Источник: 21st IMEKO TC-4 International Symposium on Understanding the World through Electrical and Electronic Measurement, and 19th International Workshop on ADC Modelling and Testing
Краткий осмотр (реферат): The article presents a new approach to identify bad power measurement based on the use of synchronized measurements of voltage and current phasors. The proposed method is based on the assumption that in most instances the bad power measurements are caused by inaccurate measurements of a current. In this case, the availability of voltage phasors' measurements at consumers and in the main substation is a sufficient condition to identify bad power measurements. It has been proposed to use the instrument for state estimation theory and the recursive algorithm to identify good measurements of the currents' and voltages' phasors of the nodes in order to improve the reliability and accuracy of the method. The identification accuracy will depend primarily on the measurements synchronization accuracy and the passive parameters sizing error
URI (Унифицированный идентификатор ресурса): https://www.scopus.com/record/display.uri?eid=2-s2.0-84997284044&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=north+caucasus+federal+university&sid=94a185ef2a894025076dc32df599dd02&sot=afnl&sdt=cl&cluster=scopubyr%2c%222016%22%2ct&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=90&citeCnt=0&searchTerm=
http://hdl.handle.net/20.500.12258/3328
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