The Architecture and Functionality of the Software to Identify the Actual Voltage Static Load Characteristics of Large Consumers

The Architecture and Functionality of the Software to Identify the Actual Voltage Static Load Characteristics of Large Consumers

Bibliographic Details
Parent link:	Control and Communications (SIBCON-2019): proceedings of International Siberian Conference, April 18-20, 2019, Russia, Tomsk. [18739805, 5 p.].— , 2019
Main Author:	Kondrashov M. Mikhail
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
Summary:	Title screen The correct voltage static load characteristics are required for efficient and reliable dispatching control in power systems and for stability simulation studies. Nowadays, one of the key problems is updating available static load characteristics due to the lack of special software for voltage and power measurement data processing. This article proposes the algorithm and architecture of special software and their implementation to computerize the process of correct voltage static load characteristics obtaining. The developed algorithm is based on data mining methods, and the results of calculations can be used in software packages that support the Common Information Model standard. Режим доступа: по договору с организацией-держателем ресурса
Published:	2019
Subjects:	электронный ресурс труды учёных ТПУ voltage static load characteristics ZIP model software common information model data mining cluster analysis regression analysis anomaly detection статические нагрузки программное обеспечение сбор данных кластерный анализ регрессионный анализ аномалии
Online Access:	https://doi.org/10.1109/SIBCON.2019.8729660
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661022

Internet

https://doi.org/10.1109/SIBCON.2019.8729660