Validation of a PMU‐based fault location identification method for smart distribution network with photovoltaics using real‐time data

Usman, Muhammad Usama; Faruque, Md. Omar

doi:10.1049/iet-gtd.2018.6245

Validation of a PMU‐based fault location identification method for smart distribution network with photovoltaics using real‐time data

Journal Article · Tue Oct 02 00:00:00 EDT 2018 · IET Generation, Transmission, & Distribution

DOI:https://doi.org/10.1049/iet-gtd.2018.6245· OSTI ID:1786784

^[1]; Faruque, Md. Omar ^[1]

Electrical and Computer Engineering and the Center for Advanced Power Systems Florida State University 2000 Levy Avenue Tallahassee FL 32310 USA

A fault location (FL) identification method for smart distribution network is presented and validated using a digital real‐time simulator (DRTS). The method can accurately identify the FL in a distribution network in the presence of distributed generation (DG). This method is based on state estimation (SE) algorithm which uses real‐time data from simulated phasor measurement units (PMUs), placed in the distribution network. SE needs the fault currents of the generators and voltage measurements of an optimal number of nodes to perform the FL algorithm. The method was validated using the IEEE 37 node test feeder with DGs. PMUs are placed on the real‐time model of the system. The real‐time model was implemented on a DRTS which streams phasor data over the Internet using C37.118 protocol. OpenPDC is used to collect real‐time PMU data coming from the DRTS. Microsoft SQL is used as a database management server to store data coming from OpenPDC. In the last step of the FL process, data stored in OpenPDC is fed into a FL identification algorithm to locate the fault. Both balanced and unbalanced fault types are applied to different nodes and an accurate estimation of the FL (over 90% of the cases) is achieved.

View Accepted Manuscript (Publisher)

Sponsoring Organization:: USDOE

Grant/Contract Number:: EE0004682

OSTI ID:: 1786784

Alternate ID(s):: OSTI ID: 1613289

Journal Information:: IET Generation, Transmission, & Distribution, Journal Name: IET Generation, Transmission, & Distribution Journal Issue: 21 Vol. 12; ISSN 1751-8687

Publisher:: Institution of Engineering and Technology (IET)Copyright Statement

Country of Publication:: United Kingdom

Language:: English

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