Abstract
Constant impedance, constant current, constant power (ZIP) load modeling has been used in various power system applications. It is of great interest to accurately estimate Z I P parameters. This paper presents the Kaiman filtering based technique for estimating load Z I P parameters. In addition, aggregate load modeling is a common practice in utility companies. However, there are certain factors that can affect estimation results. This paper formulates the aggregate Z I P load modeling and provides insights into the effects of load connections and voltage unbalance on Z I P load modeling. The effects of voltage unbalance and load connection type on Z I P load estimation are illustrated through examples. Representative case studies based on the I E E E 34-bus system built in OpenDSS are reported.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE Kansas Power and Energy Conference, KPEC 2021 |
| ISBN (Electronic) | 9781665441193 |
| DOIs | |
| State | Published - 2021 |
| Event | 2nd Annual IEEE Kansas Power and Energy Conference, KPEC 2021 - Manhattan, United States Duration: Apr 19 2021 → Apr 20 2021 |
Publication series
| Name | 2021 IEEE Kansas Power and Energy Conference, KPEC 2021 |
|---|
Conference
| Conference | 2nd Annual IEEE Kansas Power and Energy Conference, KPEC 2021 |
|---|---|
| Country/Territory | United States |
| City | Manhattan |
| Period | 4/19/21 → 4/20/21 |
Bibliographical note
Publisher Copyright:© 2021 IEEE
Keywords
- Kaiman filter
- Load model
- Parameter estimation
- ZIP load model
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
