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

doi:10.1109/TIA.2018.8101872

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-8
Number of pages	8
ISBN (Electronic)	9781509048946
DOIs	https://doi.org/10.1109/TIA.2018.8101872
State	Published - 08 11 2017
Externally published	Yes
Event	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 - Cincinnati, United States Duration: 01 10 2017 → 05 10 2017

Publication series

Name	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Volume	2017-January

Conference

Conference	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
Country/Territory	United States
City	Cincinnati
Period	01/10/17 → 05/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

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

Access to Document

10.1109/TIA.2018.8101872

Cite this

Lee, S. H., Chu, C. C., Yang, J. S., Pu, G. C., Liao, C. J., Hsu, S. M., & Lin, Y. J. (2017). Developing and applying load model identification software to Taiwan power system. In 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 (pp. 1-8). (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIA.2018.8101872

@inproceedings{8304cc74aeba4042a5212595eaec37c2,

title = "Developing and applying load model identification software to Taiwan power system",

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.",

keywords = "Measurement- based load modelling, Parameters estimation, Power system load model, System identification, Taiwan power system",

author = "Lee, \{Sheng Huei\} and Chu, \{Chia Chi\} and Yang, \{Jin Shyr\} and Pu, \{Guan Chih\} and Liao, \{Ching Jung\} and Hsu, \{Shu Min\} and Lin, \{Yu Jen\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 ; Conference date: 01-10-2017 Through 05-10-2017",

year = "2017",

month = nov,

day = "8",

doi = "10.1109/TIA.2018.8101872",

language = "英语",

series = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--8",

booktitle = "2017 IEEE Industry Applications Society Annual Meeting, IAS 2017",

address = "美国",

}

Lee, SH, Chu, CC, Yang, JS, Pu, GC, Liao, CJ, Hsu, SM & Lin, YJ 2017, Developing and applying load model identification software to Taiwan power system. in 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-8, 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, Cincinnati, United States, 01/10/17. https://doi.org/10.1109/TIA.2018.8101872

Developing and applying load model identification software to Taiwan power system. / Lee, Sheng Huei; Chu, Chia Chi; Yang, Jin Shyr et al.
2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-8 (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hsu, Shu Min

AU - Lin, Yu Jen

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N2 - 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.

AB - 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.

KW - Measurement- based load modelling

KW - Parameters estimation

KW - Power system load model

KW - System identification

KW - Taiwan power system

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M3 - 会议稿件

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SP - 1

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ER -

Lee SH, Chu CC, Yang JS, Pu GC, Liao CJ, Hsu SM et al. Developing and applying load model identification software to Taiwan power system. In 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-8. (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017). doi: 10.1109/TIA.2018.8101872

Developing and applying load model identification software to Taiwan power system

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Keywords

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