DocumentCode :
2199592
Title :
A New Analysis Method of Inter-harmonic in Power System Using Orthogonal Basis Neural Network Algorithm
Author :
Pei, Yuan ; Zeng, Zhe-Zhao
Author_Institution :
Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Hunan
fYear :
2006
fDate :
14-17 Nov. 2006
Firstpage :
1
Lastpage :
4
Abstract :
It is well known that the inter-harmonic is the harmonic which its frequency is not an integer of the fundamental frequency. It has serious impacts on the design of harmonic compensation equipments. Therefore it is important to measure accurately inter-harmonic. The neural network algorithm with the orthogonal basis functions was presented by which the amplitudes and phase of harmonic and inter-harmonic could be obtained very fast. To validate the algorithm´s validity, the simulation example of inter-harmonic analysis was given. The results show that the proposed inter-harmonic analysis approach has high precision and fast training speed, so it could be applied to power system inter-harmonic analysis
Keywords :
neural nets; power system analysis computing; power system harmonics; harmonic compensation equipment design; orthogonal basis neural network algorithm; power system interharmonic analysis; Algorithm design and analysis; Frequency; Harmonic analysis; Neural networks; Power harmonic filters; Power system analysis computing; Power system harmonics; Power system modeling; Power system simulation; Signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
Type :
conf
DOI :
10.1109/TENCON.2006.344045
Filename :
4142198
Link To Document :
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