Record number :
95443
Title of article :
A probabilistic nodal loading model and worst case solutions for electric power system voltage stability assessment
Author/Authors :
Y.، Kataoka, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2003
Pages :
-1506
From page :
1507
To page :
0
Abstract :
In this paper, a new nodal loading model for use in voltage stability assessment of electric power systems is proposed, and the formulation of worst cases based on this model, as well as related numerical methods, are described. In this nodal loading model, called the "hyper-cone" model, a set of future operating points in a load parameter space is modeled. That is, the "vertex" of the hyper-cone is taken to be the current operating point, and the "thickness" of the hyper-cone represents the uncertainty of future loading. The worst loading case is the point, among the set of transfer limit points on or within the hyper-cone, at which the total load is smallest. In other words, in terms of the uncertainty of future loading, the worst case corresponds to the most conservative transfer limit. Efficient numerical methods to compute this worst case are shown, and these methods are demonstrated on some sample power systems including IEEE 118-node system.
Keywords :
Quantum dots , Fluorescence resonance energy transfer , immunoglobulin G
Journal title :
IEEE Transactions on Power Systems
Serial Year :
2003
Link To Document :
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