Developing and applying load model identification software to Taiwan power system

Sheng Huei Lee, Chia Chi Chu, Jin Shyr Yang, Guan Chih Pu, Ching Jung Liao, Shu Min Hsu, Yu Jen Lin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents the procedures of developing a load modelling software called LM-ID (Load Model Identification), and also describes the procedures of applying the LM-ID to Taiwan power system. LM-ID can identify five static load models and seven dynamic load models. Numerical approaches to estimating load model parameters are analytical and iterative ones. LM-ID uses the least linear square error for the former and the Levenberg-Marquadt optimisation for the latter. We have applied the developed software LM-ID to 11 key substations in Taiwan power system and estimated load models' parameters. Experience on applying LM-ID to identify practical power systems load models is drawn and discussed in this paper.

Original languageEnglish
Title of host publication2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781509048946
DOIs
StatePublished - 08 11 2017
Externally publishedYes
Event2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 - Cincinnati, United States
Duration: 01 10 201705 10 2017

Publication series

Name2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Volume2017-January

Conference

Conference2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Country/TerritoryUnited States
CityCincinnati
Period01/10/1705/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Measurement- based load modelling
  • Parameters estimation
  • Power system load model
  • System identification
  • Taiwan power system

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