Nwobu, CJ orcid.org/0000-0003-0502-9841, Nakiganda, AM and Zhang, L (2017) Grid Voltage Synchronization for Unbalanced Voltages Using the Energy Operator. IEEE Journal of Emerging and Selected Topics in Power Electronics, 5 (3). pp. 1415-1424. ISSN 2168-6777
Abstract
This paper presents a novel synchronization technique which can identify the grid voltage frequency and phase angle under unbalanced grid voltage conditions. The method combines the features of two different energy operator schemes: the basic one for estimating the frequency of the grid voltages and the cross-energy operator for phase tracking. Using a moving data window of five samples the algorithm can track the fundamental frequency and phase angle quickly and accurately. The paper discusses the fundamental principles of the method, highlights its features and filter requirements in implementation. An experimental implementation of this method is presented which validates its performance for practical operation. The ability of the proposed method to enable a STATCOM riding-through unbalanced grid voltage condition is verified by the results from a power network simulation study.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. |
Keywords: | Frequency Estimation; Frequency Estimation; Voltage measurement; Frequency synchronization; Phase Lock Loop |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Aug 2017 09:57 |
Last Modified: | 15 Jan 2018 21:49 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/JESTPE.2017.2704022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:119671 |