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Showing papers by "Robert J. Thomas published in 1989"


Journal ArticleDOI
TL;DR: In this article, the authors use static and dynamic models to explain voltage collapse, where the static model is used before a saddle-node bifurcation and the dynamic model is employed after the bifurecation.
Abstract: Several voltage collapses have had a period of slowly decreasing voltage followed by an accelerating collapse in voltage. The authors clarify the use of static and dynamic models to explain this type of voltage collapse, where the static model is used before a saddle-node bifurcation and the dynamic model is used after the bifurcation. Before the bifurcation, a static model can be used to explain the slow voltage decrease. The closeness of the system to bifurcation can be interpreted physically in terms of the ability of transmission systems to transmit reactive power to load buses. Simulation results show how this ability varies with system parameters. It is suggested that voltage collapse could be avoided by manipulating system parameters so that the bifurcation point is outside the normal operating region. After the bifurcation, the system dynamics are modeled by the center manifold voltage collapse model. The essence of this model is that the system dynamics after bifurcation are captured by the center manifold trajectory. The behavior predicted by the model is found simply by numerically integrating the system differential equations to obtain this trajectory. >

275 citations


Journal ArticleDOI
TL;DR: In this article, the associative recall problem is formulated in this way, and conditions on f are developed such that a contraction operator can be developed which solves the given equation, and a specific piecewise linear function is then chosen, and its associative memory is shown to converge rapidly and to have noise rejection properties and some learning capability.
Abstract: An associative memory can be defined as a transformation between two sets. Under mild conditions, the associative recall problem can be formulated as that of solving an equation of the form y=f(x), where y is known and the corresponding value x is not. Here, the associative recall problem is formulated in this way, and conditions on f are developed such that a contraction operator can be developed which solves the given equation. A specific piecewise-linear function is then chosen, and its associative recall properties are discussed. This associative memory is shown to converge rapidly and to have noise rejection properties and some learning capability. >

9 citations


Proceedings ArticleDOI
13 Dec 1989
TL;DR: In this article, the center manifold voltage collapse model encompasses many existing models for analyzing voltage collapse and is then shown that the model can be extended to power systems with a slow increase in load demands both before and after a bifurcation.
Abstract: It is shown that the center manifold voltage collapse model encompasses many existing models for analyzing voltage collapse. It is then shown that the model can be extended to power systems with a slow increase in load demands both before and after a bifurcation. >

3 citations