Automated and scalable optimal control of three-phase embedded power grids including PLL

Dewar, David; Formentini, Andrea; Zanchetta, Pericle

Abstract

Embedded grids have been increasingly adopted into applications such as More Electric Aircraft where different power converters are interconnected to each other. Interactions between the grid components poses the risk of instability to the system, more so when in the presence of reduced passive filters. An approach of automated and scalable tuning of such embedded grids with consideration for the dynamics introduced by a PLL is presented in this paper. A structured state feedback optimal control approach is proposed which enables a controller to be synthesised is such a way that maximum performance of the grid can be achieved, whilst guaranteeing power converter synchronisation to the grid, and avoiding instability due to converter interaction, and PLL dynamics.

Citation

Dewar, D., Formentini, A., & Zanchetta, P. (2017). Automated and scalable optimal control of three-phase embedded power grids including PLL. In 2017 IEEE Energy Conversion Congress and Exposition (ECCE). https://doi.org/10.1109/ECCE.2017.8096735

• Conference Name: 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
• Conference Location: Cincinnati, Ohio, USA
• Start Date: Oct 1, 2017
• End Date: Oct 5, 2017
• Acceptance Date: Oct 1, 2017
• Publication Date: Nov 7, 2017
• Deposit Date: Dec 10, 2018
• Publicly Available Date: Dec 10, 2018
• Book Title: 2017 IEEE Energy Conversion Congress and Exposition (ECCE)
• ISBN: 978-1-5090-2998-3
• DOI: https://doi.org/10.1109/ECCE.2017.8096735
• Public URL: https://nottingham-repository.worktribe.com/output/1215859
• Publisher URL: https://ieeexplore.ieee.org/document/8096735
• Additional Information: © 2017 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.