Comparative Analysis of Deadbeat Controller and Model Predictive Controller on DSTATCOM for Power Quality Improvement

Distribution Static Compensator (DSTATCOM) is a shunt compensation device that is used to solve power quality issues. The control strategy of the DSTATCOM plays an important role in reducing current harmonics and power factor correction. In this paper comparative analysis of two predictive controllers on DSTATCOM are done. Two different predictive control structures i. e. deadbeat and model predictive controller applied to DSTATCOM for power quality improvement are discussed. In deadbeat predictive algorithm, state space model of the system is used to calculate the require reference value of current in order to reach the desired value for load current. In model predictive current control method, a discrete-time model of the system to predict the future current behavior for all the possible voltage vectors generated by the DSTATCOM, and then the vector which minimizes a cost function is selected and applied. These controllers allow DSTATCOM to tackle power quality issues by providing power factor correction, harmonic elimination, load balancing and voltage regulation. MATLAB based simulink model is used to determine the effectiveness of the proposed controllers.