DocumentCode
3105411
Title
Automated recognition of irregularities in substation load profiles due to abnormal feeding arrangements
Author
Leaman, A.J. ; Nouri, H. ; Polycarpou, A. ; der Linde, F.V. ; Ciric, R.M.
Author_Institution
UWE Bristol, Bristol, UK
fYear
2008
fDate
1-4 Sept. 2008
Firstpage
1
Lastpage
5
Abstract
Detection of abnormal feeding through the concept of data mining is studied. The presented results are in the form of case studies for various abnormalities. The developed detection algorithm is based on feeding patterns that compare the load profile against a reference waveform in conjunction with a threshold to denote abnormality.
Keywords
data mining; power engineering computing; substation automation; abnormal feeding arrangements; data mining; feeding patterns; irregularities automated recognition; substation load profiles; Circuit breakers; Circuit faults; Costs; Data mining; Frequency; Power demand; Power generation; Substations; Transformers; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location
Padova
Print_ISBN
978-1-4244-3294-3
Electronic_ISBN
978-88-89884-09-6
Type
conf
DOI
10.1109/UPEC.2008.4651542
Filename
4651542
Link To Document