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 |
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