Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling

Application of Expectation Maximization Algorithm for Measurement-based Power System Load Modeling

Bibliographic Details
Parent link:Control and Communications (SIBCON-2019).— 2019.— [18739750, 5 p.]
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
Other Authors: 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
Summary: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
Language:English
Published: 2019
Subjects:
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
Online Access:https://doi.org/10.1109/SIBCON.2019.8729610
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661049

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