Intelligent Power System Protection Performance Analysis - Data Mining in Discovering Protective Relay Operation Algorithm

by Othman, Mohammad Lutfi
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Othman, Mohammad Lutfi Intelligent Power System Protection Performance Analysis - Data Mining in Discovering Protective Relay Operation Algorithm
Othman, Mohammad Lutfi - Intelligent Power System Protection Performance Analysis - Data Mining in Discovering Protective Relay Operation Algorithm

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Description

A distance protective relay performance analysis is only feasible when the hypothesis of expected relay operation characteristics as decision rules is established as the knowledge base. This has been meticulously done by soliciting the relay knowledge domain from protection experts who are usually constrained by their experience and expertise, strenuously manually perusing tremendous amount of data in event report and traditionally relying on such intelligent electronic devices as digital fault recorders, sequence of event recorders and SCADA's remote terminal units that are lacked of detailed protection information. Thus, this thesis addresses these issues with the objective of intelligently divulging the knowledge hidden in the recorded event report at a relay device level using a data mining strategy based on Rough Set Theory, Genetic Algorithm and Rule Quality Measure under supervised learning within the framework of Knowledge Discovery in Database (KDD) in order to discover the relay's decision algorithm (prediction rules) and, subsequently, the association rule.

Contributors

Author:
Othman, Mohammad Lutfi
Aris, Ishak

Further information

Language:
English
Number of Pages:
476
Media Type:
Softcover
Publisher:
Scholar's Press

Master Data

Product Type:
Paperback book
Release date:
4 May 2020
Package Dimensions:
0.221 x 0.153 x 0.04 m; 0.724 kg
GTIN:
09783639862195
DUIN:
9B8JT4JOTS2
£74.43
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