International Journal of Advanced Computing and Communication Systems

Harmonic Analysis of STATCOM with Multilevel Inverter using Real Time Adaptive Hybrid GA based PI Control

Anandha Banu E, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.

Shalini Punithavathani D, Government College of Engineering, Tirunelveli,Tamil Nadu, India.

International Journal of Advanced Computing and Communication Systems

Received On :

Revised On :

Accepted On :

Published On :

Volume 06, Issue 02

Page No :005-011

Abstract

Power Quality issue arises in distribution system due to nonlinear loads, power electronic devices and inductive loads. To improve the power quality in one way is using a STATCOM. This paper presents the simulation studies on three phase nine level cascaded multilevel inverter using real time adaptive hybrid Genetic Algorithm based PI control. The main aim of this paper is to compensate the reactive power to maintain the voltage stability in power system. Therefore power factor is improved. The Cascaded H bridge multilevel STATCOM is connected at the point of common coupling (PCC). In STATCOM, for the cascaded multilevel inverter, the modulating signal is given by the controller whose kp and ki values are tuned with the help of PI controller. It gives the modulation index. The corresponding switching angles for the multilevel inverter is obtained from genetic algorithm(GA)in offline and a artificial neural network (ANN) is trained with the angles from GA to provide a real time adaptive hybrid switching angle for inverter. In this paper, the power factor and the total harmonic distortion (THD) with STATCOM and without STATOM are discussed.

Keywords

STATCOM, Cascaded Multilevel inerter, Fuzzy Controller, Genetic Algorithm, Artificial Neural Network.

Cite this Article

Anandha Banu E and Shalini Punithavathani D, “Harmonic Analysis of STATCOM with Multilevel Inverter using Real Time Adaptive Hybrid GA based PI Control , ”International Journal of Advanced Computing and Communication Systems, pp. 001-008, July 2019.

Copyright

© 2019 Anandha Banu E and Shalini Punithavathani . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.