Grid Parameter estimation using Model Predictive Direct Power Control

Arif, Bilal, Tarisciotti, Luca, Zanchetta, Pericle, Clare, Jon C. and Degano, Marco (2015) Grid Parameter estimation using Model Predictive Direct Power Control. IEEE Transactions on Industry Applications, 51 (6). 4614 -4622. ISSN 0093-9994

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/766134
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.
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TIA.2015.2453132
Depositing User: Burns, Rebecca
Date Deposited: 05 May 2016 12:18
Last Modified: 04 May 2020 17:22
URI: https://eprints.nottingham.ac.uk/id/eprint/33122

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