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