Real time parameter estimation for power quality control and intelligent protection of grid-connected power electronic converters

Sumner, M., Abusorrah, Abdullah, Thomas, David W.P. and Zanchetta, Pericle (2014) Real time parameter estimation for power quality control and intelligent protection of grid-connected power electronic converters. IEEE Transactions on Smart Grid, 5 (4). pp. 1602-1607. ISSN 1949-3061

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Abstract

This paper presents a method to identify power system impedance in real-time using signals obtained from grid- connected power electronic converters. The proposed impedance estimation has potential applications in renewable/distributed energy systems, STATCOM, and solid state substations. The method uses wavelets to analyze transients associated with small disturbances imposed by power converters and determine the net impedance back to the source. A data capture period of 5ms is applied to an accurate impedance estimation which provides the possibility of ultra fast fault detection (i.e. within a half cycle). The paper describes how the proposed method would enhance the distributed generation operation during faults.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/729820
Additional Information: © 2014 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.
Keywords: Fault location, impedance measurement, power quality, protection, STATCOM
Schools/Departments: University of Nottingham, UK > Faculty of Engineering
University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: https://doi.org/10.1109/TSG.2014.2298495
Depositing User: Astill-Shipman, Donna
Date Deposited: 18 Jul 2016 11:16
Last Modified: 04 May 2020 16:48
URI: https://eprints.nottingham.ac.uk/id/eprint/35094

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