2012
DOI: 10.1016/j.ijepes.2012.03.022
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Line collapse proximity index for prediction of voltage collapse in power systems

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Cited by 107 publications
(61 citation statements)
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“…The single line diagram of the 33-node network is shown in Fig. 1 and its data are given in [17]. The voltage stability index is evaluated using equation (8).…”
Section: Resultsmentioning
confidence: 99%
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“…The single line diagram of the 33-node network is shown in Fig. 1 and its data are given in [17]. The voltage stability index is evaluated using equation (8).…”
Section: Resultsmentioning
confidence: 99%
“…The loads generally play a key role in voltage stability analysis and therefore the voltage stability is known as load stability. Literature survey shows that a major work has been done on the voltage stability analysis of transmission systems, but so far the researchers have paid very little attention on the voltage stability analysis for a radial distribution network [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] in power system. A radial distribution system consists of root node, main line, lateral line, sub lateral line and minor line with some uniform and non-uniform tapings.…”
Section: Introductionmentioning
confidence: 99%
“…All line stability indicators are derived based on the assumption that both P and Q flow in the same direction from the SB to RB. [3][4][5]34,[36][37][38][39][40][41][42][43][44][45][46][47] However, in real systems, P and Q may flow in opposite directions. In such conditions, the abovementioned indicators may not properly evaluate the stability status, which has not considered in research works.…”
Section: Assessment Of Line Indices Against Different Directions Ofmentioning
confidence: 99%
“…Due to the difficulties reported in the literature for the available indices, a new index based on the effect of power flow in transmission lines, line charging reactance and the direction of reactive power flow with respect of the direction of active power flow known as "Line collapse proximity index" (LCPI) is proposed [10]. The modeling of this index is based on the exact pi-model of the transmission lines using ABCD-parameters.…”
Section: A Line Collapse Proximity Indexmentioning
confidence: 99%