Technique for field data based identification of static polynomial load model

Natalia L. Batseva, Aleksey V. Pankratov, Yuriy V. Khrushchev, Anton V. Prokhorov, Alexander S. Tavlintsev

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

6 Цитирования (Scopus)

Аннотация

The aim of the research is to develop and test technique for obtaining load static characteristics of large industrial enterprise. The research is initiated because the available data about Russian power system load have become outdated due to the change of power system structure, load content and behavior. At the same time the existing methods do not properly solve the problem of ill-conditioned data which is essential for such stochastic system as electrical load. The solution of this problem can be provided only on the basis of multiple experiments accounting different operating conditions of power system. The results of the first stage of such experimental work scheduled for the next several years by Russian System Operator is presented in the paper. To collect the data required for developing and testing of new multistage technique for identification of static polynomial load model, an active experiment was conducted. The proposed technique combines the successive approximation method and least-square method for filtering ill-conditioned data and estimation of polynomial model parameters. The obtained results confirm the efficiency of the proposed technique.

Язык оригиналаАнглийский
Название основной публикацииProceedings of 2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781479962211
DOI
СостояниеОпубликовано - 15 дек 2014
Событие2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014 - Tomsk, Российская Федерация
Продолжительность: 16 окт 201418 окт 2014

Конференция

Конференция2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014
СтранаРоссийская Федерация
ГородTomsk
Период16.10.1418.10.14

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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  • Цитировать

    Batseva, N. L., Pankratov, A. V., Khrushchev, Y. V., Prokhorov, A. V., & Tavlintsev, A. S. (2014). Technique for field data based identification of static polynomial load model. В Proceedings of 2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014 [6986877] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MEACS.2014.6986877