Learning-Based Anti-Hebbian Algorithm for Control of Distribution Static Compensator

Author

Arya, Sabha Raj ; Singh, Bawa ; Chandra, Aniruddha ; Al-Haddad, Kamal

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol.-Delhi, New Delhi, India

Volume

61

Issue

11

fYear

2014

fDate

Nov. 2014

Firstpage

6004

Lastpage

6012

Abstract

This paper deals with an implementation of a distribution static compensator (DSTATCOM) using a learning-based anti-Hebbian control algorithm for compensation of linear/nonlinear loads. The proposed control algorithm is used for extraction of fundamental active and reactive power components of load currents for estimating reference supply currents. This control algorithm is implemented on a developed DSTATCOM using a digital signal processor for reactive power compensation, harmonics elimination, and load balancing. Simulation and test results demonstrate satisfactory performance of the proposed control algorithm for the control of DSTATCOM under varying loads.

Keywords

learning (artificial intelligence); power distribution control; power engineering computing; power system harmonics; static VAr compensators; DSTATCOM; distribution static compensator control; harmonics elimination; learning based antiHebbian algorithm; load balancing; load current; nonlinear load compensation; reactive power component extraction; reference supply current estimation; Estimation; Harmonic analysis; Heuristic algorithms; Power system harmonics; Reactive power; Signal processing algorithms; Voltage control; Distribution static compensator (DSTATCOM); harmonics; learning algorithm; load balancing; power factor correction (PFC); reactive power compensation; zero voltage regulation (ZVR);

fLanguage

English

Journal_Title

Industrial Electronics, IEEE Transactions on

Publisher

ieee

ISSN

0278-0046

Type

jour

DOI

10.1109/TIE.2014.2321341

Filename

6809144