e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Neural Network Controller Based Dstatcom for Voltage Sag Mitigation and Power Quality Issue
Authors : Husham Idan Hussein
Keywords : Harmonics; Neural Network (NN); Power Disturbances; Power Quality; and Voltage Sag.
Issue Date : Feb-Mar 2016
Abstract :
In this paper review and describe one of the most important electric power systems problems, it’s a voltage sag. When this phenomenon occurs, the impact on devices and equipment used in all types of domestic, commercial and industrial loads, which leads to malfunction, many of which will be a serious and very significant effects, particularly in industrialized loads being represent the backbone of life. This made as a major part of electric power quality provides the consumers. Power quality is one of the most important areas of generation, transmission and distribution systems of the power system. In this paper, design model of the electric power system which has been generating a voltage sag phenomenon has also been the study and analysis of the reasons for it. D.STATCOM device used to reduce and damp of this phenomenon, where it was used to prove that the device is perfect device for this purpose, its works as a compensator reactive power (VAR) to the system in case of any failure and the emergence of the phenomenon of voltage sag. Neural network method is used as a control on D.STATCOM and is proven as a good way to control. All simulation results obtained regarding the voltage sag as well as D.STATCOM device and also used to control method represented by neural network (NN), was studied, analysis, achieved and discussed.
Page(s) : 405-420
ISSN : 0975-4024
Source : Vol. 8, No.1