Title :
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
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);
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2014.2321341
