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Grid impedance estimation for islanding detection and adaptive control of converters

Ghanem, A.; Rashed, Mohamed; Sumner, M.; El-Sayes, M.A.; Mansy, I.I.I.

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Authors

A. Ghanem

Mohamed Rashed

MARK SUMNER MARK.SUMNER@NOTTINGHAM.AC.UK
Professor of Electrical Energy Systems

M.A. El-Sayes

I.I.I. Mansy



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.

Citation

Ghanem, A., Rashed, M., Sumner, M., El-Sayes, M., & Mansy, I. (2016). Grid impedance estimation for islanding detection and adaptive control of converters. . https://doi.org/10.1049/cp.2016.0205

Conference Name 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016)
Conference Location Glasgow, UK
Start Date Apr 19, 2016
End Date Apr 21, 2016
Acceptance Date Feb 26, 2016
Publication Date Apr 20, 2016
Deposit Date Jul 15, 2016
Publicly Available Date Jul 15, 2016
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1049/cp.2016.0205
Keywords Grid impedance estimation, SVPWM, Islanding detection, Adaptive control
Public URL https://nottingham-repository.worktribe.com/output/784395
Publisher URL http://digital-library.theiet.org/content/conferences/10.1049/cp.2016.0205
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

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