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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

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 The research is initiated because the available data about Russian power system load have become outdated due to the change of power system structure, load content and behavior.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.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479962211
DOIs
Publication statusPublished - 15 Dec 2014
Event2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014 - Tomsk, Russian Federation
Duration: 16 Oct 201418 Oct 2014

Conference

Conference2014 International Conference on Mechanical Engineering, Automation and Control Systems, MEACS 2014
CountryRussian Federation
CityTomsk
Period16.10.1418.10.14

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Keywords

  • active experiment
  • active power
  • load static characteristic
  • power system
  • reactive power
  • voltage

ASJC Scopus subject areas

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

Cite this

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. In 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