Fast parameter identification and modeling of electric load based on simplified composite load model

Songtai Yu; Shuqing Zhang; Yingduo Han; Chao Lu; Zhihong Yu; Xinran Zhang

doi:10.1109/PESGM.2015.7286063

Fast parameter identification and modeling of electric load based on simplified composite load model

Songtai Yu
, Shuqing Zhang
, Yingduo Han
, Chao Lu
, Zhihong Yu
, Xinran Zhang

Tsinghua University
Chinese Electric Power Research Institute

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

9 引用（Scopus）

摘要

Load is one of the most important parts of power system and imposes great impact on stability of the system. Proper modeling and parameter identification of load are instructive for power system stability study and control. However, because of the nonlinearity, randomness and time-variation, load modeling and parameter identification remain a big problem in power system simulation and stability analysis. Composite load model is one of the most common models for load in power system simulation. This paper introduces an online parameter identification and modeling method for electric load based on a new simplified composite load model. The approach includes three parts: the dominance analysis of parameter and model simplification, the phasor measurement and calculation, and the online parameter identification. A test on the method is also shown with the simulation of a typical case system.

源语言	英语
主期刊名	2015 IEEE Power and Energy Society General Meeting, PESGM 2015
出版商	IEEE Computer Society
ISBN（电子版）	9781467380409
DOI	https://doi.org/10.1109/PESGM.2015.7286063
出版状态	已出版 - 30 9月 2015
已对外发布	是
活动	IEEE Power and Energy Society General Meeting, PESGM 2015 - Denver, 美国期限: 26 7月 2015 → 30 7月 2015

出版系列

姓名	IEEE Power and Energy Society General Meeting
卷	2015-September
ISSN（印刷版）	1944-9925
ISSN（电子版）	1944-9933

会议

会议	IEEE Power and Energy Society General Meeting, PESGM 2015
国家/地区	美国
市	Denver
时期	26/07/15 → 30/07/15

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/PESGM.2015.7286063

其它文件与链接

链接到 Scopus 的出版物

引用此

Yu, S., Zhang, S., Han, Y., Lu, C., Yu, Z., & Zhang, X. (2015). Fast parameter identification and modeling of electric load based on simplified composite load model. 在 2015 IEEE Power and Energy Society General Meeting, PESGM 2015 文章 7286063 (IEEE Power and Energy Society General Meeting; 卷 2015-September). IEEE Computer Society. https://doi.org/10.1109/PESGM.2015.7286063

@inproceedings{cbe95cd8d02942b2a74247270d202880,

title = "Fast parameter identification and modeling of electric load based on simplified composite load model",

abstract = "Load is one of the most important parts of power system and imposes great impact on stability of the system. Proper modeling and parameter identification of load are instructive for power system stability study and control. However, because of the nonlinearity, randomness and time-variation, load modeling and parameter identification remain a big problem in power system simulation and stability analysis. Composite load model is one of the most common models for load in power system simulation. This paper introduces an online parameter identification and modeling method for electric load based on a new simplified composite load model. The approach includes three parts: the dominance analysis of parameter and model simplification, the phasor measurement and calculation, and the online parameter identification. A test on the method is also shown with the simulation of a typical case system.",

keywords = "PAF method, STP filter, electric load, model simplification, parameter identification",

author = "Songtai Yu and Shuqing Zhang and Yingduo Han and Chao Lu and Zhihong Yu and Xinran Zhang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Power and Energy Society General Meeting, PESGM 2015 ; Conference date: 26-07-2015 Through 30-07-2015",

year = "2015",

month = sep,

day = "30",

doi = "10.1109/PESGM.2015.7286063",

language = "英语",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2015 IEEE Power and Energy Society General Meeting, PESGM 2015",

address = "美国",

}

Yu, S, Zhang, S, Han, Y, Lu, C, Yu, Z & Zhang, X 2015, Fast parameter identification and modeling of electric load based on simplified composite load model. 在 2015 IEEE Power and Energy Society General Meeting, PESGM 2015., 7286063, IEEE Power and Energy Society General Meeting, 卷 2015-September, IEEE Computer Society, IEEE Power and Energy Society General Meeting, PESGM 2015, Denver, 美国, 26/07/15. https://doi.org/10.1109/PESGM.2015.7286063

Fast parameter identification and modeling of electric load based on simplified composite load model. / Yu, Songtai; Zhang, Shuqing; Han, Yingduo 等.
2015 IEEE Power and Energy Society General Meeting, PESGM 2015. IEEE Computer Society, 2015. 7286063 (IEEE Power and Energy Society General Meeting; 卷 2015-September).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Fast parameter identification and modeling of electric load based on simplified composite load model

AU - Yu, Songtai

AU - Zhang, Shuqing

AU - Han, Yingduo

AU - Lu, Chao

AU - Yu, Zhihong

AU - Zhang, Xinran

PY - 2015/9/30

Y1 - 2015/9/30

N2 - Load is one of the most important parts of power system and imposes great impact on stability of the system. Proper modeling and parameter identification of load are instructive for power system stability study and control. However, because of the nonlinearity, randomness and time-variation, load modeling and parameter identification remain a big problem in power system simulation and stability analysis. Composite load model is one of the most common models for load in power system simulation. This paper introduces an online parameter identification and modeling method for electric load based on a new simplified composite load model. The approach includes three parts: the dominance analysis of parameter and model simplification, the phasor measurement and calculation, and the online parameter identification. A test on the method is also shown with the simulation of a typical case system.

AB - Load is one of the most important parts of power system and imposes great impact on stability of the system. Proper modeling and parameter identification of load are instructive for power system stability study and control. However, because of the nonlinearity, randomness and time-variation, load modeling and parameter identification remain a big problem in power system simulation and stability analysis. Composite load model is one of the most common models for load in power system simulation. This paper introduces an online parameter identification and modeling method for electric load based on a new simplified composite load model. The approach includes three parts: the dominance analysis of parameter and model simplification, the phasor measurement and calculation, and the online parameter identification. A test on the method is also shown with the simulation of a typical case system.

KW - PAF method

KW - STP filter

KW - electric load

KW - model simplification

KW - parameter identification

UR - https://www.scopus.com/pages/publications/84956862769

U2 - 10.1109/PESGM.2015.7286063

DO - 10.1109/PESGM.2015.7286063

M3 - 会议稿件

AN - SCOPUS:84956862769

T3 - IEEE Power and Energy Society General Meeting

BT - 2015 IEEE Power and Energy Society General Meeting, PESGM 2015

PB - IEEE Computer Society

T2 - IEEE Power and Energy Society General Meeting, PESGM 2015

Y2 - 26 July 2015 through 30 July 2015

ER -

Fast parameter identification and modeling of electric load based on simplified composite load model

摘要

出版系列

会议

联合国可持续发展目标

访问文件

其它文件与链接

指纹

引用此