DocumentCode :
665746
Title :
A comparative study of adaptive control algorithms in Distribution Static Compensator
Author :
Singh, Bawa ; Dube, Sunil Kumar ; Arya, Sabha Raj ; Chandra, Aniruddha ; Al-Haddad, Kamal
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, New Delhi, India
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
145
Lastpage :
150
Abstract :
In various practical applications such as harmonic current elimination, reactive power compensation and power factor correction many adaptive filtering techniques are used for control of DSTATCOM (Distribution Static Compensator). This paper presents a comparative study of the performance of two weight updating adaptive algorithm LMS (Least Mean Square) based ADALINE (Adaptive Linear Neural Network) and Fuzzy logic based variable step size LMS used for harmonic current detection using VSC (Voltage Source Converter) based DSTATCOM (Distribution Static Compensator). Simulation results in MATLAB environment show that the convergence speed of fuzzy logic based variable step size LMS is much faster and its performance is better than LMS based Adaline under varying load conditions in DSTATCOM application for power quality improvement.
Keywords :
adaptive control; adaptive filters; fuzzy control; harmonic analysis; least mean squares methods; neurocontrollers; static VAr compensators; ADALINE; DSTATCOM application; VSC; adaptive control algorithm; adaptive filtering technique; adaptive linear neural network; distribution static compensator; fuzzy logic; harmonic current detection; least mean square; power factor correction; power quality improvement; reactive power compensation; variable step size LMS; voltage source converter; Algorithm design and analysis; Convergence; Fuzzy logic; Harmonic analysis; Least squares approximations; Power harmonic filters; Voltage control; Adaline; DSTATCOM; Fuzzy Logic; Variable step size LMS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
Conference_Location :
Vienna
ISSN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2013.6699126
Filename :
6699126
Link To Document :
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