You are here

Fault Location Identification in Smart Distribution Networks with Distributed Generation

Title: Fault Location Identification in Smart Distribution Networks with Distributed Generation.
1128 views
943 downloads
Name(s): Guillen, Jose David Cordova, author
Faruque, Md Omar, (Professor of Electrical and Computer Engineering), professor directing thesis
Weatherspoon, Mark H., committee member
Graber, Lukas, committee member
Florida State University, degree granting institution
College of Engineering, degree granting college
Department of Electrical and Computer Engineering, degree granting department
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2015
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource (142 pages)
Language(s): English
Abstract/Description: Power lines in distribution networks are subject to several subjects such as bad weather conditions, contact with animals, equipment malfunction, etc. These conditions may cause a fault in the power lines that may damage the devices in the network if it is not self-cleared by the protection devices present. A fault location identification method is proposed that can accurately identify the fault location within seconds so that utilities companies have a better understanding of where to mitigate the fault. The algorithm collects data from the measurements available from the smart grid devices such as Advanced Metering Infrastructure (AMI), Reclosers, Power Quality Meters, and other smart meters present in the grid. The algorithm is suitable for distribution networks with Distributed Generation (DG) and smart measurement infrastructure that can transmit event-driven data such as pre and post-fault voltages or currents. To overcome the problem presented by the lack of metering points to know every operating condition in the system, the technique is based on State Estimation to locate the fault. The research work presents a MATLAB-based state estimation (SE) technique applied to identify the fault location in Real-Time. The validation of the method was assessed by simulating the IEEE 37 nodes test feeder as an operating distribution grid with DG with Opal-RT technology. Fault-on voltage and current from virtual smart meters measurements are gathered in Real-Time. The Real-time data from the smart meters is fed to the State Estimation algorithm to determine the fault location which is then presented in a Graphic User Interface (GUI) for the easy understanding of a utility company operator. The method was tested for different transformers configuration, a multisource distribution grid with DG presence, symmetrical and asymmetrical fault types giving the accurate location in 90% of the cases.
Identifier: FSU_migr_etd-9578 (IID)
Submitted Note: A Thesis submitted to the Department of Electrical and Computer Engineering in partial fulfillment of the requirements for the degree of Master of Science.
Degree Awarded: Summer Semester 2015.
Date of Defense: July 14, 2015.
Keywords: Distributed Generation, Fault locating, Real-time, Smart grid, State estimation
Bibliography Note: Includes bibliographical references.
Advisory Committee: Omar Faruque, Professor Directing Thesis; Mark Weatherspoon, Committee Member; Lukas Graber, Committee Member.
Subject(s): Electrical engineering
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_migr_etd-9578
Owner Institution: FSU

Choose the citation style.
Guillen, J. D. C. (2015). Fault Location Identification in Smart Distribution Networks with Distributed Generation. Retrieved from http://purl.flvc.org/fsu/fd/FSU_migr_etd-9578