Model Predictive Control for Shunt Active Power Filter in Synchronous Reference Frame

- Journal title : Journal of Electrical Engineering and Technology
- Volume 11, Issue 2, 2016, pp.405-415
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2016.11.2.405

Title & Authors

Model Predictive Control for Shunt Active Power Filter in Synchronous Reference Frame

Al-Othman, A.K.; AlSharidah, M.E.; Ahmed, Nabil A.; Alajmi, Bader. N.;

Al-Othman, A.K.; AlSharidah, M.E.; Ahmed, Nabil A.; Alajmi, Bader. N.;

Abstract

This paper presents a model predictive control for shunt active power filters in synchronous reference frame using space vector pulse-width modulation (SVPWM). The three phase load currents are transformed into synchronous rotating reference frame in order to reduce the order of the control system. The proposed current controller calculates reference current command for harmonic current components in synchronous frame. The fundamental load current components are transformed into dc components revealing only the harmonics. The predictive current controller will add robustness and fast compensation to generate commands to the SVPWM which minimizes switching frequency while maintaining fast harmonic compensation. By using the model predictive control, the optimal switching state to be applied to the next sampling time is selected. The filter current contains only the harmonic components, which are the reference compensating currents. In this method the supply current will be equal to the fundamental component of load current and a part of the current at fundamental frequency for losses of the inverter. Mathematical analysis and the feasibility of the suggested approach are verified through simulation results under steady state and transient conditions for non-linear load. The effectiveness of the proposed controller is confirmed through experimental validation.

Keywords

Active power filter;Model predictive control;Synchronous reference frame Harmonic compensation;dSPACE controller;

Language

English

Cited by

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