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    Correlation Based Method for Phase Identification in a Three Phase LV Distribution Network

    218687_218687.pdf (1.484Mb)
    Access Status
    Open access
    Authors
    Pezeshki, Houman
    Wolfs, Peter
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Pezeshki, H. and Wolfs, P. 2012. Correlation Based Method for Phase Identification in a Three Phase LV Distribution Network, in 22nd Australasian Universities Power Engineering Conference 2012 (AUPEC), Sep 26-29 2012. Bali, Indonesia: IEEE.
    Source Title
    Proceedings of the 22nd Australasian Universities Power Engineering Conference
    Source Conference
    22nd Australasian Universities Power Engineering Conference
    Additional URLs
    http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6360284
    ISBN
    9789791884723
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEEmust 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.

    URI
    http://hdl.handle.net/20.500.11937/45952
    Collection
    • Curtin Research Publications
    Abstract

    Low voltage distribution networks feature a high degree of load unbalance and the addition of rooftop photovoltaic is driving further unbalances in the network. Single phase consumers are distributed across the phases but even if the consumer distribution was well balanced when the network was constructed changes will occur over time. Distribution transformer losses are increased by unbalanced loadings. The estimation of transformer losses is a necessary part of the routine upgrading and replacement of transformers and the identification of the phase connections of households allows a precise estimation of the phase loadings and total transformer loss. This paper presents a new technique and preliminary test results for a method of automatically identifying the phase of each customer by correlating voltage information from the utility's transformer system with voltage information from customer smart meters. The techniques are novel as they are purely based upon a time series of electrical voltage measurements taken at the household and at the distribution transformer. Experimental results using a combination of electrical power and current of the real smart meter datasets demonstrate the performance of our techniques.

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