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 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781538622124 |
| DOIs | |
| 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 |
Other
| Other | 2017 IEEE Power and Energy Society General Meeting, PESGM 2017 |
|---|---|
| Country | United States |
| City | Chicago |
| Period | 7/16/17 → 7/20/17 |
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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
Role of sensitivity analysis in load model parameter estimation. / Mitra, Parag; Vittal, Vijay.
2017 IEEE Power and Energy Society General Meeting, PESGM 2017. Vol. 2018-January IEEE Computer Society, 2018. p. 1-5.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Role of sensitivity analysis in load model parameter estimation
AU - Mitra, Parag
AU - Vittal, Vijay
PY - 2018/1/29
Y1 - 2018/1/29
N2 - 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.
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.
KW - Levenberg Marquardt
KW - Load modeling
KW - Parameter estimation
KW - Reduced order estimation
KW - Sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=85046348161&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046348161&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2017.8273936
DO - 10.1109/PESGM.2017.8273936
M3 - Conference contribution
AN - SCOPUS:85046348161
VL - 2018-January
SP - 1
EP - 5
BT - 2017 IEEE Power and Energy Society General Meeting, PESGM 2017
PB - IEEE Computer Society
ER -