Active and Reactive Power Control based on an Inner Predictive Voltage Control Loop for AC generation systems with Direct Matrix Converter

Toledo, S.; Rivera, M.; Wheeler, P.; Dragicevic, T.; Caballero, D.; Gregor, R.; Maqueda, E.; Gavilan, F.

Abstract

In order to satisfied the growing electrical energy demand around the world, renewable energy generation systems under distributed generation frame emerges as a plausible solution. In this context wind and micro-hydro generation systems consist of renewable AC sources 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 strategy for AC generation systems are presented. The performance of the system are analysed regarding tracking of reference and THD with satisfying transient results and THD lower than 1 % in the injected current widely accomplishing with international standards.

Citation

Toledo, S., Rivera, M., Wheeler, P., Dragicevic, T., Caballero, D., Gregor, R., …Gavilan, F. (2019). Active and Reactive Power Control based on an Inner Predictive Voltage Control Loop for AC generation systems with Direct Matrix Converter. In 2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) (1-6). https://doi.org/10.1109/ROPEC48299.2019.9057037

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
• Start Date: Nov 13, 2019
• End Date: Nov 15, 2019
• Acceptance Date: Sep 2, 2019
• Online Publication Date: Apr 6, 2020
• Publication Date: 2019-11
• Deposit Date: Jul 29, 2020
• Publicly Available Date: Aug 4, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-6
• Series Number: 2573-0770
• Book Title: 2019 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)
• ISBN: 978-1-7281-2899-3
• DOI: https://doi.org/10.1109/ROPEC48299.2019.9057037
• Public URL: https://nottingham-repository.worktribe.com/output/4795194
• Publisher URL: https://ieeexplore-ieee-org.ezproxy.nottingham.ac.uk/document/9057037
• Additional Information: © 2019 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.