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      Use of smart-meter data to determine distribution system topology

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          Abstract

          Smart-meter data presents an opportunity for utilities to improve their database records, and develop a low-voltage (LV) model which may be useful for outage management and fault detection, isolation and response, phase balancing, and network planning. In addition, impact assessment studies on new technologies can be performed. This study presents several contributions in the area of determining the topology of the LV distribution system. This is in terms of identifying the transformer a particular installation control point is connected to, and the phase if that customer is single-phase. First, harmonic voltage correlation is proposed as it is more robust to noise and missing records than the prior algorithm of voltage correlation. Second, it is demonstrated that smart-meter data can be used to determine the transformer/phase to which a customer is connected and update database records in this regard. To achieve this, a new algorithm based on correlation analysis with the Fisher Z transform is developed. Third, a method to estimate LV feeder and service main impedances is presented. Further work is necessary; however, the results from trials in Auckland, New Zealand are highly promising.

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          Most cited references 6

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          Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

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            The Impact of Smart Grid Prosumer Grouping on Forecasting Accuracy and Its Benefits for Local Electricity Market Trading

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              • Record: found
              • Abstract: not found
              • Article: not found

              Smart Meter Data Analytics for Distribution Network Connectivity Verification

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                Author and article information

                Contributors
                Journal
                JOE
                The Journal of Engineering
                J Eng
                The Institution of Engineering and Technology
                2051-3305
                May 2016
                22 March 2016
                03 May 2016
                : 2016
                : 5
                : 94-101
                Affiliations
                [1 ] Electrical and Computer Engineering Department, University of Canterbury , Private Bag 4800, Christchurch, New Zealand
                [2 ] Vector Network Ltd. , Auckland, New Zealand
                Article
                JOE.2016.0033 JOE.2016.0033
                10.1049/joe.2016.0033

                This is an open access article published by the IET under the Creative Commons Attribution-NoDerivs License ( http://creativecommons.org/licenses/by-nd/3.0/)

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