Abstract
In power systems, accurate transmission line parameters are critical as line parameters are essential inputs to various power system applications. Thus accurate line parameter estimation methods are required. In this paper, new Kalman filter based methods are proposed to estimate line parameters for long transmission lines with different line configurations while considering the effect of measurement noises. Simulations have been completed to demonstrate the performance of the proposed methods.
| Original language | English |
|---|---|
| Title of host publication | IEEE SoutheastCon 2020, SoutheastCon 2020 |
| ISBN (Electronic) | 9781728168616 |
| DOIs | |
| State | Published - Mar 28 2020 |
| Event | 2020 IEEE SoutheastCon, SoutheastCon 2020 - Virtual, Raleigh, United States Duration: Mar 28 2020 → Mar 29 2020 |
Publication series
| Name | Conference Proceedings - IEEE SOUTHEASTCON |
|---|---|
| Volume | 2020-March |
| ISSN (Print) | 1091-0050 |
| ISSN (Electronic) | 1558-058X |
Conference
| Conference | 2020 IEEE SoutheastCon, SoutheastCon 2020 |
|---|---|
| Country/Territory | United States |
| City | Virtual, Raleigh |
| Period | 3/28/20 → 3/29/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Kalman filter
- Measurement noise
- PMU
- line parameter estimation
- transmission line
ASJC Scopus subject areas
- Computer Networks and Communications
- Software
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Signal Processing
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