Role of sensitivity analysis in load model parameter estimation

Parag Mitra, Vijay Vittal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 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 languageEnglish (US)
Title of host publication2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PublisherIEEE Computer Society
Pages1-5
Number of pages5
Volume2018-January
ISBN (Electronic)9781538622124
DOIs
StatePublished - Jan 29 2018
Event2017 IEEE Power and Energy Society General Meeting, PESGM 2017 - Chicago, United States
Duration: Jul 16 2017Jul 20 2017

Other

Other2017 IEEE Power and Energy Society General Meeting, PESGM 2017
CountryUnited States
CityChicago
Period7/16/177/20/17

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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

Cite this

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 (Vol. 2018-January, pp. 1-5). IEEE Computer Society. https://doi.org/10.1109/PESGM.2017.8273936