4.4 Article

AVSF-based control algorithm of DSTATCOM for distribution system

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 11, Issue 13, Pages 3389-3396

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2017.0225

Keywords

static VAr compensators; power distribution control; power supply quality; matrix algebra; voltage control; AVSF-based control algorithm; DSTATCOM; distribution system; adaptive Volterra second-order filter; AVSF; polluted load current; nonlinear load; nonlinear functions; quadratic functions; filter coefficients; autocorrelation matrix; unity power factor; zero voltage regulation; terminal voltage

Ask authors/readers for more resources

Recent trends have shown that the power quality has been adversely affected due to increased power electronics based devices at the utility grid in the distribution system. Suppression of harmonics and reactive power current compensation at point of common coupling (PCC) improve the power quality using distribution static compensator (DSTATCOM). The development of new control algorithm based on adaptive Volterra second-order filter (AVSF) for DSTATCOM to extract the fundamental power current components from the polluted load current of non-linear load in distribution system is presented in this study. The AVSF is a combination of linear and non-linear functions of the input signals. Both linear and quadratic functions optimise filter coefficients with fast convergence, which is quite important in the success of an adaptive solution. The proposed algorithm is also related to autocorrelation matrix and step size, which are used for rapid convergence. The performance of proposed algorithm for DSTATCOM is validated through experimental results for unity power factor of AC source and zero voltage regulation of the terminal voltage at PCC.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available