Modelling and control of the modular multilevel matrix converter and its application to wind energy conversion systems

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Diaz, Matias, Cardenas, Roberto, Espinoza, Mauricio, Mora, Andreas and Wheeler, Patrick (2016) Modelling and control of the modular multilevel matrix converter and its application to wind energy conversion systems. In: 42nd Annual Conference of IEEE Industrial Electronics Society (IECON 2016), 24-27 Oct 2016, Florence, Italy.

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Abstract

In the last past years, some countries are enforcing stringent grid codes to regulate the connection of Wind Energy Conversion Systems (WECSs) to the electrical network, mainly because of the high penetration of electric power from this renewable source. Additionally, the trend of wind turbines has shown an ongoing power rating growth, reaching sizes up to 10 MW. Multilevel converters appear then as a promising solution for large WECSs, due to its high reliability, controllability and the capability to reach high power ratings. In this scenario, this paper presents a control strategy for the application of the Modular Multilevel Matrix Converter in Multimegawatts Wind Turbines. Extensive computer simulations and a downscaled laboratory prototype, with twenty-seven power cells, are presented to validate the effectiveness of the proposed control system.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/821490
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: Wind turbines, Wind energy conversion systems, Fault ride-through capability, Modular multilevel matrix converter
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Related URLs:
URLURL Type
http://www.iecon2016.org/UNSPECIFIED
Depositing User: Burns, Rebecca
Date Deposited: 21 Feb 2017 15:15
Last Modified: 04 May 2020 18:15
URI: https://eprints.nottingham.ac.uk/id/eprint/40692

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