Role of sensitivity analysis in load model parameter estimation

Parag Mitra; Vijay Vittal

doi:10.1109/PESGM.2017.8273936

Role of sensitivity analysis in load model parameter estimation

Parag Mitra, Vijay Vittal

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

6 Scopus citations

Abstract

Parameter estimation plays a crucial role in load modeling. The aggregated nature of the load model and the large number of tunable parameter makes the task of parameter estimation challenging. Therefore, a deeper understanding of the estimation process is required. Sensitivity analysis provides useful insight into the parameter estimation process, which can make the process more efficient and systematic. The importance of sensitivity analysis in load model parameter estimation is highlighted in this paper through an example.

Original language	English (US)
Title of host publication	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Publisher	IEEE Computer Society
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781538622124
DOIs	https://doi.org/10.1109/PESGM.2017.8273936
State	Published - Jan 29 2018
Event	2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States Duration: Jul 16 2017 → Jul 20 2017

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2018-January
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Other

Other	2017 IEEE Power and Energy Society General Meeting, PESGM 2017
Country/Territory	United States
City	Chicago
Period	7/16/17 → 7/20/17

Keywords

Levenberg Marquardt
Load modeling
Parameter estimation
Reduced order estimation
Sensitivity analysis

ASJC Scopus subject areas

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

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10.1109/PESGM.2017.8273936

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Mitra, P & Vittal, V 2018, Role of sensitivity analysis in load model parameter estimation. in 2017 IEEE Power and Energy Society General Meeting, PESGM 2017. IEEE Power and Energy Society General Meeting, vol. 2018-January, IEEE Computer Society, pp. 1-5, 2017 IEEE Power and Energy Society General Meeting, PESGM 2017, Chicago, United States, 7/16/17. https://doi.org/10.1109/PESGM.2017.8273936

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abstract = "Parameter estimation plays a crucial role in load modeling. The aggregated nature of the load model and the large number of tunable parameter makes the task of parameter estimation challenging. Therefore, a deeper understanding of the estimation process is required. Sensitivity analysis provides useful insight into the parameter estimation process, which can make the process more efficient and systematic. The importance of sensitivity analysis in load model parameter estimation is highlighted in this paper through an example.",

keywords = "Levenberg Marquardt, Load modeling, Parameter estimation, Reduced order estimation, Sensitivity analysis",

author = "Parag Mitra and Vijay Vittal",

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AB - Parameter estimation plays a crucial role in load modeling. The aggregated nature of the load model and the large number of tunable parameter makes the task of parameter estimation challenging. Therefore, a deeper understanding of the estimation process is required. Sensitivity analysis provides useful insight into the parameter estimation process, which can make the process more efficient and systematic. The importance of sensitivity analysis in load model parameter estimation is highlighted in this paper through an example.

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KW - Reduced order estimation

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Role of sensitivity analysis in load model parameter estimation

Abstract

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Keywords

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