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
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;
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
DOI :
10.1109/UPEC.2008.4651542
