Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling; Control and Communications (SIBCON-2019)

Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling; Control and Communications (SIBCON-2019)

书目详细资料
Parent link:	Control and Communications (SIBCON-2019).— 2019.— [18739750, 5 p.]
企业作者:	Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
其他作者:	Pankratov A. V. Aleksey Vladimirovich, Batseva N. L. Natalya Lenmirovna, Polyakova E. S. Ekaterina Sergeevna, Tavlintsev A. S. Alexander Sergeevich, Lapatin I. L. Ivan, Lipnitsky I. Yu. Iljya
总结:	Title screen This paper describes a practical application of the Expectation Maximization algorithm for computing the static load model of large electricity consumers. Such a model is necessary for effective and reliable operational control of electric power systems. The possibility of estimating basic states of electrical load using arrays of measured voltage and power data is shown. The criteria for selecting the most appropriate clusters are formulated and a step by step linear load model parameter estimation method is proposed. A practical method application is illustrated by using measurements of voltage and real power obtained at a large industrial facility. As a result, a load model with two basic states and corresponding linear models is obtained. Режим доступа: по договору с организацией-держателем ресурса
语言:	英语
出版:	2019
主题:	электронный ресурс труды учёных ТПУ cluster analysis mathematical statistics EM algorithm power system load modeling parameter estimation measurement-based approac кластерный анализ математическая статистика алгоритмы система питания моделирование нагрузки
在线阅读:	https://doi.org/10.1109/SIBCON.2019.8729610
格式:	电子本书章节
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661049

因特网

https://doi.org/10.1109/SIBCON.2019.8729610