Active and Reactive Power Control based on Predictive Voltage Control in a Six-Phase Generation System using Modular Matrix Converters

Toledo, S.; Ayala, M.; Maqueda, E.; Gregor, R.; Renault, A.; Rivera, M.; Dragicevic, T.; Wheeler, P.

Abstract

Renewable energy generation systems under distributed generation frame emerges as a plausible solution for nowadays growing world energy demands. In this context multiphase wind generation systems are a feasible option that consist of renewable AC source that need efficient and totally controlled power conversion stages. In this work a novel active and reactive power control strategy based on two cascade control loops using a combination of classical PR controller and Model Based Predictive Voltage Control is proposed. Furthermore, the generator is a Permanent Magnet Synchronous Generator and the power stage is based on a multi-modular direct matrix converter topology providing interesting features to the scheme. The performance of the whole system is analysed regarding tracking of reference and THD with satisfying transient results and THD lower than 1.52 % in the injected current widely accomplishing with international standards.

Citation

Toledo, S., Ayala, M., Maqueda, E., Gregor, R., Renault, A., Rivera, M., …Wheeler, P. (2020). Active and Reactive Power Control based on Predictive Voltage Control in a Six-Phase Generation System using Modular Matrix Converters. In Proceedings: 2020 IEEE International Conference on Industrial Technology (ICIT) (1059-1065). https://doi.org/10.1109/ICIT45562.2020.9067285

• Conference Name: IEEE International Conference on Industrial Technology (ICIT 2020)
• Conference Location: Buenos Aires, Argentina
• Start Date: Feb 26, 2020
• End Date: Feb 28, 2020
• Acceptance Date: Nov 15, 2019
• Online Publication Date: Apr 16, 2020
• Publication Date: 2020-02
• Deposit Date: Jul 24, 2020
• Publicly Available Date: Jul 27, 2020
• Pages: 1059-1065
• Series ISSN: 2643-2978
• Book Title: Proceedings: 2020 IEEE International Conference on Industrial Technology (ICIT)
• ISBN: 978-1-7281-5755-9
• DOI: https://doi.org/10.1109/ICIT45562.2020.9067285
• Public URL: https://nottingham-repository.worktribe.com/output/4785666
• Publisher URL: https://ieeexplore-ieee-org.ezproxy.nottingham.ac.uk/document/9067285
• Additional Information: © 2020 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.