DocumentCode :
1073773
Title :
A Newton-Raphson method based on eigenvalue sensitivities to improve harmonic voltage performance
Author :
Varricchio, Sergio Luis ; Martins, Nelson ; Lima, Leonardo Tadeu Garcia
Author_Institution :
Electr. Energy Res. Center, Rio de Janeiro, Brazil
Volume :
18
Issue :
1
fYear :
2003
fDate :
1/1/2003 12:00:00 AM
Firstpage :
334
Lastpage :
342
Abstract :
This paper describes a Newton-Raphson method that accurately shifts a set of electrical network poles and transfer function zeros to more suitable locations in the complex plane to improve the harmonic voltage performance of a system. The descriptor system approach is used for the computer modeling of electrical networks of any topology and their subsequent modal analysis. The pole and/or zero shifts are carried out by appropriate changes in the system elements (e.g., capacitor and/or reactor banks). Eigenvalue sensitivity coefficients are used to help determine those element changes that are the most cost-effective and to compute the Jacobian elements for the Newton method. These changes may be carried out without impacting the system operating point. Results are presented for a realistic system model in order to show the potential applications of the method.
Keywords :
Jacobian matrices; Newton-Raphson method; eigenvalues and eigenfunctions; harmonic distortion; poles and zeros; power supply quality; power system analysis computing; power system harmonics; sensitivity analysis; Jacobian elements; Newton-Raphson method; computer modeling; descriptor system approach; eigenvalue sensitivities; electrical network poles; harmonic voltage performance improvement; transfer function zeros; Capacitors; Computer networks; Eigenvalues and eigenfunctions; Inductors; Modal analysis; Network topology; Newton method; Poles and zeros; Transfer functions; Voltage;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2002.806682
Filename :
1159940
Link To Document :
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