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

Content Provider	IET Digital Library
Author	Usman, Muhammad Usama Faruque, Md. Omar
Abstract	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.
Starting Page	5824
Ending Page	5833
Page Count	10
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 21, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6245
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-09-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Balanced Fault Types Distributed Generation Distributed Power Generation Distribution Network DRTS Fault Current Fault Location FL Algorithm Generator IEEE 37 Node Test Feeder MATLAB-based FL Identification Algorithm OpenPDC Operating Distribution Grid Phasor Measurement PMU-based Fault Location Identification Method PMUs Power Engineering Computing Power System Measurement Power System Measurement And Metering Protocol Real-time Data Real-time Model Real-time PMU Data Real-time Simulator Simulated Phasor Measurement Units Smart Distribution Network Smart Power Grid SQL State Estimation Algorithm Store Data Streams Phasor Data Unbalanced Fault Types Voltage Measurement
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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