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

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
主出版物標題	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	1-8
頁數	8
ISBN（電子）	9781509048946
DOIs	https://doi.org/10.1109/TIA.2018.8101872
出版狀態	已出版 - 08 11 2017
對外發佈	是
事件	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 - Cincinnati, 美國持續時間: 01 10 2017 → 05 10 2017

出版系列

名字	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
卷	2017-January

Conference

Conference	2017 IEEE Industry Applications Society Annual Meeting, IAS 2017
國家/地區	美國
城市	Cincinnati
期間	01/10/17 → 05/10/17

文獻附註

Publisher Copyright:
© 2017 IEEE.

存取文件

10.1109/TIA.2018.8101872

其它文件與鏈接

Link to publication in Scopus

引用此

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. 於 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017 (頁 1-8). (2017 IEEE Industry Applications Society Annual Meeting, IAS 2017; 卷 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. 於 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017. 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, 卷 2017-January, Institute of Electrical and Electronics Engineers Inc., 頁 1-8, 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017, Cincinnati, 美國, 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 等.
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; 卷 2017-January).

研究成果: 圖書/報告稿件的類型 › 會議稿件 › 同行評審

TY - GEN

T1 - Developing and applying load model identification software to Taiwan power system

AU - Lee, Sheng Huei

AU - Chu, Chia Chi

AU - Yang, Jin Shyr

AU - Pu, Guan Chih

AU - Liao, Ching Jung

AU - Hsu, Shu Min

AU - Lin, Yu Jen

PY - 2017/11/8

Y1 - 2017/11/8

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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U2 - 10.1109/TIA.2018.8101872

DO - 10.1109/TIA.2018.8101872

M3 - 会议稿件

AN - SCOPUS:85044165574

T3 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017

SP - 1

EP - 8

BT - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Industry Applications Society Annual Meeting, IAS 2017

Y2 - 1 October 2017 through 5 October 2017

ER -

Lee SH, Chu CC, Yang JS, Pu GC, Liao CJ, Hsu SM 等. Developing and applying load model identification software to Taiwan power system. 於 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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