Title :
Implementation of DSTATCOM using Neural Network Based Radial Basis Function
Author :
Singh, Bawa ; Arya, Sabha Raj ; Dube, Sunil Kumar ; Chandra, Aniruddha ; Al-Haddad, Kamal
Author_Institution :
Dept. of Electr. Eng., I.I.T. Delhi, New Delhi, India
Abstract :
This paper deals with an implementation of three-phase Distribution Static Compensator (DSTATCOM) using a NNRBF (Neural Network Based Radial Basis Function) control algorithm for power quality improvement. It is used for harmonics elimination, load balancing and reactive power compensation for PFC (Power Factor Correction) and ZVR (Zero Voltage Regulation) under linear/ nonlinear loads. The RBF based control algorithm is used for extraction of fundamental weighted value of active and reactive power components of load currents for estimation of reference supply currents. A prototype of DSTATCOM is developed using a DSP (Digital Signal Processor). Test results demonstrate the satisfactory performance of DSTATCOM with proposed control algorithm for compensation of nonlinear loads.
Keywords :
harmonics suppression; neurocontrollers; power factor correction; power supply quality; radial basis function networks; reactive power control; static VAr compensators; DSP; DSTATCOM; NNRBF control algorithm; PFC; ZVR; active power component; digital signal processor; harmonics elimination; linear-nonlinear loads; load balancing; load currents; neural network-based radial basis function; power factor correction; power quality improvement; reactive power compensation; reactive power component; reference supply current estimation; three-phase distribution static compensator; zero voltage regulation; Artificial neural networks; Filtering algorithms; Harmonic analysis; Power harmonic filters; Radio frequency; STATCOM; Distortion; Gaussian basis function; Load balancing; NNRBF; Weights;
Conference_Titel :
Industry Applications Society Annual Meeting, 2013 IEEE
Conference_Location :
Lake Buena Vista, FL
DOI :
10.1109/IAS.2013.6682510