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Grid Parameter estimation using Model Predictive Direct Power Control

Arif, Bilal; Tarisciotti, Luca; Zanchetta, Pericle; Clare, Jon C.; Degano, Marco

Authors

Bilal Arif

Luca Tarisciotti

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JON CLARE jon.clare@nottingham.ac.uk
Professor of Power Electronics

Marco Degano



Abstract

This paper presents a novel Finite Control Set Model Predictive Control (FS-MPC) approach for grid-connected converters. The control performance of such converters may get largely affected by variations in the supply impedance, especially for systems with low Short Circuit Ratio (SCR) values. A novel idea for estimating the supply impedance variation, and hence the grid voltage, using an algorithm embedded in the MPC is presented in this paper. The estimation approach is based on the difference in grid voltage magnitudes at two consecutive sampling instants, calculated on the basis of supply currents and converter voltages directly within the MPC algorithm, achieving a fast estimation and integration between the controller and the impedance estimator. The proposed method has been verified, using simulation and experiments, on a 3-phase 2-level converter.

Citation

Arif, B., Tarisciotti, L., Zanchetta, P., Clare, J. C., & Degano, M. (2015). Grid Parameter estimation using Model Predictive Direct Power Control. IEEE Transactions on Industry Applications, 51(6), https://doi.org/10.1109/TIA.2015.2453132

Journal Article Type Article
Acceptance Date Jun 25, 2015
Online Publication Date Jul 7, 2015
Publication Date Nov 19, 2015
Deposit Date May 5, 2016
Publicly Available Date May 5, 2016
Journal IEEE Transactions on Industry Applications
Print ISSN 0093-9994
Electronic ISSN 0093-9994
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 51
Issue 6
DOI https://doi.org/10.1109/TIA.2015.2453132
Public URL https://nottingham-repository.worktribe.com/output/766134
Publisher URL http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7151796
Additional Information 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.

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