Finite Control Set based Optimized Model Predictive Current Control of Four-leg Shunt Active Power Filter

Journal of Control Engineering and Applied Informatics

chelladurai J¹  Joe Brislin J²  Vinod B³ 

[1] Department of Electrical and Electronics Engineering,PSG College of Technology, Coimbatore;Department of Robotics and Automation EngineeringPSG College of Technology, Coimbatore;HoD In chargeDepartment of Robotics and Automation EngineeringPSG College of Technology, Coimbatore

关键词: Active Filters;    Inverters;    Harmonics;    Predictive Control;   

DOI  :  

学科分类：农业科学（综合）

来源: Societatea Romana de Automatica si Informatica Tehnica

【 摘 要 】

This paper presents a finite control set based Model Predictive Current Control (MPCC) of a four-leg Shunt Active Power Filter (SAPF) to mitigate the current harmonics and balance a three-phase four-wire system. A four-leg inverter is considered to balance the three-phase currents in the distribution system under unbalanced load conditions. The four-leg inverter provides a path for the neutral current to flow on the load side. The instantaneous i d_axis -i q_axiscurrent method is applied to estimate the required compensating current. The squared error based cost function optimization is proposed in the MPCC technique. The classical current control techniques for four-leg SAPF use PID regulators to mitigate the current harmonics and to balance the load current. The proposed SAPF using MPCC technique has the inherent advantage of zero modulation stage and the control part considers only the mathematical model of the system which eliminates the requirement of PID regulator. The performance of the proposed four leg SAPF using MPCC control strategy has been evaluated under different source voltage and load conditions. The simulation results of the proposed system prove that the four-leg SAPF with MPCC is more desirable for effective current harmonic compensation and to balance the three-phase four-wire distribution system.

【 授权许可】

CC BY