Mohammad Lutfi Othman, Ishak Aris

Intelligent Power System Protection Performance Analysis

Data Mining in Discovering Protective Relay Operation Algorithm

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Scholar's Press
• Seitenzahl: 476
• Erscheinungstermin: 18. April 2018
• Englisch
• Abmessung: 220mm x 150mm x 29mm
• Gewicht: 727g
• ISBN-13: 9783639862195
• ISBN-10: 3639862198
• Artikelnr.: 52615991

Autorenporträt

Ir. Dr. Mohammad Lutfi Othman received BSc (Magna Cum Laude) in electrical engineering from the Univ. of Arizona in 1990 and MSc and PhD in power system protection from the Universiti Putra Malaysia in 2004 and 2011, respectively. His research interest is protection system operation analysis. He is a Senior Lecturer and an Electrical Consultant.