Grid impedance estimation for islanding detection and adaptive control of converters

Ghanem, A., Rashed, Mohamed, Sumner, M., El-Sayes, M.A. and Mansy, I.I.I. (2016) Grid impedance estimation for islanding detection and adaptive control of converters. In: 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 19-21 April 2016, Glasgow, UK.

Full text not available from this repository.

Abstract

The grid impedance is time varying due to the changing structure of the power system configuration and it can have a considerable influence on the control and stability of grid connected converters. This paper presents an online grid impedance estimation method using the output switching current ripple of a SVPWM based grid connected converter. The proposed impedance estimation method is derived from the discretised system model using two consecutive samples within the switching period. The estimated impedance is used for islanding detection and online current controller parameter adaptation. Theoretical analysis and MATLAB simulation results are presented to verify the proposed method. The effectiveness of the grid impedance estimator is validated using experimental results.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/784395
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016) 9781785611889 and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Keywords: Grid impedance estimation, SVPWM, Islanding detection, Adaptive control
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Depositing User: Burns, Rebecca
Date Deposited: 15 Jul 2016 08:12
Last Modified: 04 May 2020 17:45
URI: https://eprints.nottingham.ac.uk/id/eprint/34955

Actions (Archive Staff Only)

Edit View Edit View