Jd. Mccalley et Ba. Krause, RAPID TRANSMISSION CAPACITY MARGIN DETERMINATION FOR DYNAMIC SECURITYASSESSMENT USING ARTIFICIAL NEURAL NETWORKS, Electric power systems research, 34(1), 1995, pp. 37-45
This paper presents a method for rapidly computing transmission capaci
ty margin for security problems. The method uses an artificial neural
network (ANN) to model a delineating surface between the region of sec
urity and the region of insecurity in the space of most critical param
eters. If the number of critical parameters is two, the delineating 's
urface' is simply the familiar nomogram line. In general, however, the
delineating surface is multidimensional since the number of critical
parameters for most security problems is greater than three. The margi
n to security limitations is computed as the solution to a nonlinear e
quality-constrained optimization problem, where the equality constrain
t is the operational boundary surface function, and the objective func
tion is the shortest 'distance' between an operating point and the del
ineating surface.