ANN based controller for three phase four leg shunt active filter for power quality improvement

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• 作者：J. Jayachandran ; ^{jj_chandru@eee.sastra.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; R. Murali Sachithanandam ^{murali@eee.sastra.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Neural network ; DSTATCOM ; Neutral current mitigation ; Three phase four wire distribution system ; Unbalanced and/or distorted source ; Total harmonic distortion (THD)
• 刊名：Ain Shams Engineering Journal
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：7
• 期：1
• 页码：275-292
• 全文大小：9620 K

文摘

In this paper, an artificial neural network (ANN) based one cycle control (OCC) strategy is proposed for the DSTATCOM shunted across the load in three phase four wire distribution system. The proposed control strategy mitigates harmonic/reactive currents, ensures balanced and sinusoidal source current from the supply mains that are nearly in phase with the supply voltage and compensates neutral current under varying source and load conditions. The proposed control strategy is superior over conventional methods as it eliminates, the sensors needed for sensing load current and coupling inductor current, in addition to the multipliers and the calculation of reference currents. ANN controllers are implemented to maintain voltage across the capacitor and as a compensator to compensate neutral current. The DSTATCOM performance is validated for all possible conditions of source and load by simulation using MATLAB software and simulation results prove the efficacy of the proposed control over conventional control strategy.