DocumentCode :
133899
Title :
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
Link To Document :
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