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Performance Analysis of H- 2 Optimally Controlled Three-Phase Grids

Dewar, David; Li, Kang; Formentini, Andrea; Zanchetta, Pericle; Wheeler, Pat

Authors

David Dewar

Kang Li

Andrea Formentini

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PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems



Abstract

Embedded electrical grids are comprised of multiple interconnected power converters, and have been recently adopted widely into applications such as micro-grids, electrical ships and More Electric Aircraft (MEA). Key aims of MEA research include reducing the overall size and weight of the electrical system without compromise to performance. H 2 control optimization have been gaining large attention in the development of controllers for such systems. In this paper, a comparative review between decentralised optimal H 2 controllers, and more traditional PI control method for a three-phase embedded grid in MEA shall be undertaken. The comparison involves investigating the tuning process, the implementation, the performance and the capability of reducing the overall size and weight of the system. H 2 controls are being designed with full knowledge of the system dynamics and interactions, and is expected in theory to deliver greater capability to meet MEA core research objectives, in contrast to traditional PI methods

Citation

Dewar, D., Li, K., Formentini, A., Zanchetta, P., & Wheeler, P. (2018). Performance Analysis of H- 2 Optimally Controlled Three-Phase Grids. In 2018 IEEE Energy Conversion Congress and Exposition (ECCE) (2258-2264). https://doi.org/10.1109/ECCE.2018.8558087

Conference Name 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
Conference Location Portland, OR
Start Date Sep 23, 2018
End Date Sep 27, 2018
Acceptance Date Apr 12, 2018
Online Publication Date Dec 6, 2018
Publication Date Sep 23, 2018
Deposit Date Feb 14, 2019
Publisher Institute of Electrical and Electronics Engineers
Pages 2258-2264
Book Title 2018 IEEE Energy Conversion Congress and Exposition (ECCE)
ISBN 9781479973132
DOI https://doi.org/10.1109/ECCE.2018.8558087
Public URL https://nottingham-repository.worktribe.com/output/1549814
Publisher URL https://ieeexplore.ieee.org/document/8558087