David Dewar
Performance Analysis of H- 2 Optimally Controlled Three-Phase Grids
Dewar, David; Li, Kang; Formentini, Andrea; Zanchetta, Pericle; Wheeler, Pat
Authors
Kang Li
Andrea Formentini
Pericle Zanchetta
Professor 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, September). Performance Analysis of H- 2 Optimally Controlled Three-Phase Grids. Presented at 2018 IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR
Presentation Conference Type | Edited Proceedings |
---|---|
Conference Name | 2018 IEEE Energy Conversion Congress and Exposition (ECCE) |
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 |
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