期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：6
页码：10403
DOI：10.15680/IJIRSET.2015.0506167
出版社：S&S Publications
摘要：The paper intends to develop the artificial neural network control algorithm for the control ofDSTATCOM for the improvement of power quality. The presence of nonlinear loads makes the voltage to be deviatedand current to be distorted from its sinusoidal waveform quality. Thus harmonics elimination, load balancing andvoltage regulation is the heavy task that has to be accomplished to maintain the quality of the power. The performanceof any device depends on the control algorithm used for the reference current estimation and gating pulse generationscheme. Thus the artificial neural network based Back Propagation (BP) algorithm has been proposed to generate thetriggering pulses for the three phase H bridge inverter (DSTATCOM).The fundamental weighted value of active andreactive power components of load currents which are required for the estimation of reference source current iscalculated by using BP-based control algorithm. Based on the difference of the target voltage and the generatedvoltage, the triggering pulse for the inverter is obtained by the BP algorithm. Then the voltage is injected at the point ofcommon coupling to compensate the reactive power. Thus by regulating the voltage and compensation of reactivepower, the power quality can be improved. The simulation modelling of the Back propagation algorithm controlledDSTATCOM and the PWM controlled DSTATCOM and the comparative analysis of the algorithms is presented inthis paper.
关键词：DSTATCOM; Artificial Neural Network; Back propagation (BP) control algorithm; Reference current;Estimation; Power quality
