Performance analysis of finite control set model predictive controlled active harmonic filter

Abstract

This paper presents a finite control set model predictive control (FCS-MPC) based shunt active harmonic filter (SAHF) for power quality improvement. A detailed mathematical model of a SAHF is considered and used with the FCS-MPC algorithm for future prediction. The reference currents required for harmonic mitigation and reactive power compensation are generated using p-q theory. The two step ahead reference values required for compensating calculation delay in the FCS-MPC algorithm are obtained by using vector angle method. The simulation results present the compensation capabilities of the proposed SAHF and its control. The performance of the proposed system is evaluated for steady state and transient conditions. The influence of model parameter errors on the performance of the controller is analyzed by considering the total harmonic distortion (THD) of the source current and the absolute reference tracking error of the filter current as a measure to evaluate its robustness.

Harmonics mitigation and non‐ideal voltage compensation utilising active power filter based on predictive current control

“…Each method has its pros and cons, as presented in [11, 29, 31]. Moreover, several works have discussed the power converter controller, as presented in [2–4, 9, 20, 32]. The new control structure in this study is utilising the predictive control and compare it with a similar structure using the space vector control as explained in the previous section.…”

“…It is worth noticing that in [1, 6, 7] it is shown that not all the control algorithms are working appropriately in the presence of a non‐ideal voltage. As discussed in [8–10], shunt APFs (SAPFs) are the most suitable to deal with harmonic current distortion as well as improving the total power factor performance by reducing the reactive power burden on the power system [11].…”