Title :
Data mining of the substation data in distribution network using rough set and genetic algorithms
Author :
Crossley, Peter ; Liu, Yi
Author_Institution :
Univ. of Manchester, Manchester, UK
Abstract :
This paper describes a method to enhance the capacities of substation informatics and ensure greater insight into the useful information that is contained in the data sets associated with all the intelligent electronic devices (IEDs) in a substation. A soft computing technique based on rough sets can extract useful information from large quantity of data captured by protection, control and monitoring IEDs.
Keywords :
data mining; distribution networks; genetic algorithms; power engineering computing; rough set theory; substations; data mining; distribution network; genetic algorithms; intelligent electronic devices; rough set; soft computing technique; substation data; substation informatics; Control systems; Data mining; Genetic algorithms; Informatics; Information systems; Monitoring; Power system protection; Power systems; Rough sets; Substation protection; data mining; distribution substation; expert system; genetic algorithm; knowledge extraction; rough set;
Conference_Titel :
Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International
Conference_Location :
Glasgow
Print_ISBN :
978-1-4244-6823-2
