Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks

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

Abstract

The increasing use of power electronics systems and distributed generation in modern power networks has raised important issues regarding the effects that inter-connected converters systems can have on the performance and stability of the whole grid. Interactions between locally optimized converters, designed not taking into account the external influence of the system in which they are operating, may lead to performance degradation or even system instability and failure. This paper will deal with the problem of active-front end control design taking into account of system interactions with other power converters in the grid. A globally optimized local converter control tuning method, which is based on a state space model identification of the unknown grid system seen from the converter at its point of common coupling (PCC), is here proposed. The plant for the control design will then be not only represented by the local converter dynamics, but will also include the identified system at the PCC. In order to describe and validate the concept, a simplified notional system, comprising of two interconnected converter systems coupled on the same AC bus is analyzed. The effectiveness and advantages of the proposed method is validated by experiments with a traditionally designed PI controller for comparison.

Citation

Li, K., Dewar, D., Formentini, A., Zanchetta, P., & Wheeler, P. (2019). Grid Impedance Identification and Structured-h2 Optimization Based Controller Design of Active Front-end in Embedded AC Networks. In 2019 IEEE Energy Conversion Congress and Exposition (ECCE) (4840-4845). https://doi.org/10.1109/ECCE.2019.8912832

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
• Start Date: Sep 29, 2019
• End Date: Oct 3, 2019
• Acceptance Date: May 3, 2019
• Online Publication Date: Nov 28, 2019
• Publication Date: 2019-09
• Deposit Date: Feb 6, 2020
• Publicly Available Date: Feb 7, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 4840-4845
• Series ISSN: 2329-3748
• Book Title: 2019 IEEE Energy Conversion Congress and Exposition (ECCE)
• ISBN: 978-1-7281-0396-9
• DOI: https://doi.org/10.1109/ECCE.2019.8912832
• Keywords: Identification, h2 optimization, Active front-end
• Public URL: https://nottingham-repository.worktribe.com/output/3911489
• Publisher URL: https://ieeexplore.ieee.org/document/8912832
• 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.