Model Predictive Control for shunt active filters with fixed switching frequency

Tarisciotti, Luca, Formentini, Andrea, Gaeta, Alberto, Degano, Marco, Zanchetta, Pericle, Rabbeni, Roberto and Pucci, Marcello (2016) Model Predictive Control for shunt active filters with fixed switching frequency. IEEE Transactions on Industry Applications . ISSN 1939-9367

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Abstract

This paper presents a modification to the classical Model Predictive Control algorithm, named Modulated Model Predictive Control, and its application to active power filters. The proposed control is able to retain all the advantages of a Finite Control Set Model Predictive Control whilst improving the generated waveforms harmonic spectrum. In fact a modulation algorithm, based on the cost function ratio for different output vectors, is inherently included in the MPC. The cost function-based modulator is introduced and its effectiveness on reducing the current ripple is demonstrated. The presented solution provides an effective and straightforward single loop controller, maintaining an excellent dynamic performance despite the modulated output and it is self-synchronizing with the grid. This promising method is applied to the control of a Shunt Active Filter for harmonic content reduction through a reactive power compensation methodology. Significant results obtained by experimental testing are reported and commented, showing that MPC is a viable control solution for active filtering systems.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/818827
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Smart Grids; Power Quality; Active Filters; Power Filters; Harmonic Distortion; Model Predictive Control
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TIA.2016.2606364
Depositing User: Eprints, Support
Date Deposited: 20 Sep 2016 12:56
Last Modified: 04 May 2020 18:13
URI: https://eprints.nottingham.ac.uk/id/eprint/37014

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