Artificial neural network based controller for active power line conditioner

Author

Kiran, U. Raja ; Rao, D.V. ; Tiwari, Sachin ; Jain, S.

Author_Institution

Dept. of Electr. Eng., MANIT, Bhopal, India

fYear

2014

fDate

1-2 March 2014

Firstpage

1

Lastpage

6

Abstract

Proliferation of non-linear loads resulted in the problems of harmonics, unbalancing, poor power factor. To overcome this active power line conditioner (APLC) is used. In this paper, an artificial neural network (ANN) based controller for active power line conditioner is presented, in which feedforward neural network, trained by levenberg marquardt (LM) algorithm is implemented for generating reference current and pulses to inverter. The simulation results by using MATLAB/SIMULINK of both the conventional and ANN based controller model are discussed. The neutral current has been reduced to maintain system balance.

Keywords

feedforward neural nets; invertors; load regulation; neurocontrollers; power factor; power system harmonics; ANN based controller; APLC; LM algorithm; Levenberg Marquardt algorithm; MATLAB-SIMULINK; active power line conditioner; artificial neural network based controller; feedforward neural network; harmonics; inverter; neutral current; nonlinear load; power factor; pulse generation; reference current generation; system balance maintenance; Artificial neural networks; Harmonic analysis; Steady-state; Switches; Topology; Voltage control; ANN; APLC; Feedforward network; THD; VSI;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical, Electronics and Computer Science (SCEECS), 2014 IEEE Students' Conference on

Conference_Location

Bhopal

Print_ISBN

978-1-4799-2525-4

Type

conf

DOI

10.1109/SCEECS.2014.6804484

Filename

6804484