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Date Available
5-3-2015
Year of Publication
2015
Document Type
Master's Thesis
Degree Name
Master of Science in Electrical Engineering (MSEE)
College
Engineering
Department/School/Program
Electrical and Computer Engineering
Faculty
Dr. Yuan Liao
Faculty
Dr. Caicheng Lu
Abstract
Fault location is very important for distribution systems, and quickly identifying the fault and restoring the system can help reduce the outage time and make the system more reliable. In this thesis, a method for locating faults on distribution systems is introduced to quickly identify the faulted feeder sections by using the overcurrent information from the switches in the system. Fuzzy logic is utilized. The proposed method can quickly and accurately locate faulted sections with different fault locations, fault types and fault resistances. The method is applicable to cases with single-faults or multi-faults, and is applicable to networks with multi-sources. The case study has demonstrated the effectiveness of the proposed method.
Recommended Citation
Chen, Jie, "Fault Section Identification for Power Distribution Systems Using Online Measurements" (2015). Theses and Dissertations--Electrical and Computer Engineering. 70.
https://uknowledge.uky.edu/ece_etds/70
