DocumentCode
2532307
Title
Transmission line’s parameter estimation using state estimation algorithms
Author
Olarte, Andres ; Diaz, Hernando
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Colombia, Bogota
fYear
2008
fDate
20-24 July 2008
Firstpage
1
Lastpage
7
Abstract
Some experiences on the use of state estimation methods for identifying the parameters of transmission lines are described. As a result, an algorithm to estimate the parameters of transmission lines and transformers is proposed. It uses a set of measurements for different operating conditions; these measurements can be obtained from historical records. Using measurements of voltage and active and reactive power flows on both ends of a given line, an estimator is built that can compute the parameters of a line, independently of the condition of the rest of the system. In a similar way, it can compute the parameters and, more importantly, the position of the tap of a transformer. The method has been used to identify the parameters of all lines and transformers for the IEEE 30-node system. The performance of the estimation process, as proposed, is independent of the number of lines to be identified as long as there is enough variability in the linepsilas loading, so the size of the system is not relevant, as long as there are enough measurements.
Keywords
power measurement; power system parameter estimation; power transformers; power transmission lines; voltage measurement; IEEE 30-node system; parameter estimation; power measurements; state estimation algorithms; transformers; transmission line; voltage measurements; Parameter estimation; Power generation economics; Power measurement; Power system reliability; Power transmission lines; State estimation; Transformers; Transmission line measurements; Transmission line theory; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location
Pittsburgh, PA
ISSN
1932-5517
Print_ISBN
978-1-4244-1905-0
Electronic_ISBN
1932-5517
Type
conf
DOI
10.1109/PES.2008.4596139
Filename
4596139
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