2009
DOI: 10.4316/aece.2009.01011
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Clustering Techniques in Load Profile Analysis for Distribution Stations

Abstract: 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 effectivene… Show more

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Cited by 35 publications
(10 citation statements)
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“…The advantages of the clustering methods are well known and allow to perform an optimal planning and operation of distribution networks [12].…”
Section: Material Methods and Resultsmentioning
confidence: 99%
“…The advantages of the clustering methods are well known and allow to perform an optimal planning and operation of distribution networks [12].…”
Section: Material Methods and Resultsmentioning
confidence: 99%
“…The load curve simulated in this study is a typical load curve, as the one presented in [19]. The load peak-value is 3 MW, the lowest value is 1.2 MW, whereas the average is 1.8 MW, over a 24-hour time interval presented in Fig.…”
Section: B Input Datamentioning
confidence: 96%
“…557 increased from 5% up to 15% [15] simultaneously while solar PV penetration increases. In both cases, the small signal stability are analyzed in terms of eigenvalue, damped frequency, damping ratio and participation factor.…”
Section: Small Signal Stability Analysis Of Grid Connected Photovoltamentioning
confidence: 98%