Automated recognition of irregularities in substation load profiles due to abnormal feeding arrangements

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.