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ANN based Tuning of STATCOM in a Distributed Generation System

Author(s):

M.Sudha , P.S.R.Rengasamy engineering college for women; M.Iyankalai, P.S.R.Rengasamy engineering college for women; Dr.K.Punitha, P.S.R.Rengasamy college of Engineering for women, Sivakasi,India

Keywords:

Distributed Generation (DG), Static Synchronous Compensator (STATCOM), Artificial Neural Network (ANN)

Abstract

In Recent trends integration of Distributed Generation (DG) units in the distribution system is one of the major concerns for electrical power system. The voltage control for small DG units in the grid is kept in the standard limit. There is lack in reactive power support that brings the problem of slow recovery and it leads to the usage of expensive Flexible AC Transmission System (FACTS) devices such as static synchronous compensator (STATCOM). STATCOM has been placed at the bus which requires reactive power control. Soft computing method of ANN’s is used for the prediction of voltage stability problems of the proposed systems. The training for the NN controller is done by using Back Propagation algorithm. It is obtained from MATLAB simulation results with the proposed ANN based tuning of STATCOM has effectively achieved the fast voltage recovery and power factor improvement.

Other Details

Paper ID: IJSRDV3I40569
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 999-1002

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