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Clustering Techniques in Load Profile Analysis for Distribution StationsBOBRIC, E. C., CARTINA, G., GRIGORAS, G.
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load profile, clustering techniques, data flow analysis, power consumption, distribution station
power(5), load(5), clustering(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2009-02-03
Volume 9, Issue 1, Year 2009, On page(s): 63 - 66
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.01011
Web of Science Accession Number: 000264815300011
SCOPUS ID: 67749137135
The demand characteristic is the most important one in analyzing customer information. In a distribution network, there is in any moment certain degree of uncertainty about busses loads, and consequently, about load level of network, busses voltage level, and power losses. Therefore, it is very important to estimate first of all the load profiles of buses, using available data (measurements effectuated in distribution stations). The results obtained for various distribution stations demonstrate the effectiveness of the present method in overcoming the difficulties encountered in optimal planning and operation of distribution networks.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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