The Improvement DSTATCOM to Enhance the Quality of Power Using Fuzzy- Neural Controller

Subject Areas : Renewable energy

Ghazanfar  Shahgholian ¹ (Assistant Professor/Islamic Azad University, Najaf Abad Branch)
Ebrahim  Haghjoo ² (MSc/Islamic Azad University, Najaf Abad Branch)
Alireza  Seifi ³ (Associate Professor/Shiraz University)
Iraj  Hassanzadeh ⁴ (Professor/Tabriz University)

Received: 2010-01-17 Accepted : 2011-02-27 Published : 2011-08-01

Keywords: Power Quality, DSTATCOM, linear controller, fuzzy-neural controller,

Abstract :

In this article the performance of a DSTATCOM as an efficient parallel compensator, for obtaining the power indexes has been considered, Then, to improve the performance of DSTATVOM, each of its PI controller has been substituted by a nonlinear fuzzy-neural controller, based on trial error and derivation of system error. The cause of detorioration of power quality and the method of their compensation, in a distribution network, has been analysed, using Matlab. The simulation results show that, using the fuzzy-neural controller in place of linear controller in DSTATCOM controller, the ability of compensation in the active and reactive power voltage sag, swell and fliker, and reduction of low current and voltage harmonics has been improved cansiderably.