Abstract
Transmission line parameters are critical inputs to a variety of power system analysis algorithms. To ensure the precision of line parameters, this paper proposes a novel linear method to estimate transmission line parameters, including series resistance, series reactance, and shunt susceptance, for non-compensated and series-compensated lines. Voltage and current phasors obtained by phasor measurement units (PMUs) from both ends are utilized in the algorithm. Linear least squares method is applied when multiple sets of measurements are available for improved accuracy. Distributed parameter line model is employed in developing the algorithm. An optimal estimator is also proposed, which can detect and identify possible measurement errors, although this type of method is no longer linear. The estimated line parameters can be used to determine line temperature and conductor sag. Evaluations studies demonstrate the effectiveness of the proposed methods.
Original language | English |
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Title of host publication | 2017 IEEE Power and Energy Conference at Illinois, PECI 2017 |
ISBN (Electronic) | 9781509055517 |
DOIs | |
State | Published - May 30 2017 |
Event | 2017 IEEE Power and Energy Conference at Illinois, PECI 2017 - Urbana, United States Duration: Feb 23 2017 → Feb 24 2017 |
Publication series
Name | 2017 IEEE Power and Energy Conference at Illinois, PECI 2017 |
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Conference
Conference | 2017 IEEE Power and Energy Conference at Illinois, PECI 2017 |
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Country/Territory | United States |
City | Urbana |
Period | 2/23/17 → 2/24/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
Keywords
- bad measurement detection and identification
- distributed parameter line model
- linear estimation
- transmission line parameter estimation
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering