Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/17162
Title: Intelligent identification of power quality disturbances
Authors: Loi, Kevin Jin Han.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Issue Date: 2009
Abstract: The increasing use of electronics in electrical equipment has made them more vulnerable to power quality disturbances. Customers are becoming more knowledgeable in these issues and demand for more detailed and precise information whenever an unfortunate event occurs. Therefore, power companies are expanding the use of information processing techniques in the attempt to determine the cause and severity of power quality event so that remedy actions can be undertaken swiftly. One such process is to pinpoint the type of disturbance that has occurred. This is achieved through some form of pattern matching where signature patterns from past experiences or simulations are used to match the recorded event. However, there are many uncertainties with the network operating conditions and devices complicating the identification process. Some research works have been done in NTU in this area involving the use of advanced signal processing and fuzzy-logic based pattern matching techniques. This project is to test the proposed method for its robustness in handling the various uncertainties. Sample disturbances will be generated using Matlab and incorporated with various uncertainties. These are then used to test out the proposed method.
URI: http://hdl.handle.net/10356/17162
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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