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Topic: Analytic and hybrid methods Abstract Advances in microprocessor technology now make real time simulation with Hardware In the Loop (HIL) feasible for many applications. The literature is full of descriptions of how this technology has been applied to control systems [1]. In this paper we address two new aspects: • Interconnections between systems(More)
The authors provide an approach that enables a power system operator or planner to evaluate his or her alternatives in selecting a certain voltage collapse criterion. Specifically, the selection of a criterion must guarantee that the risk of making a wrong decision is minimal for any operating point and disturbance. This is done by recasting the various(More)
This paper presents a method for designing a Neural Network (") for potential application in real-time system security analysis. Specifically, we formulate the contingency classification problem as a pattern recognition problem and then design a NN to classify the system states (i.e., normal, alert and emergency). A two-layered NN with a fully-connected(More)
This paper presents the stability evaluation of a Simulation–Stimulation (Sim–Stim) interface that integrates hardware to software to perform Hardware-In-the-Loop (HIL) studies for testing and developing electrical equipment. Modeling issues of such an interface are discussed and a practical Sim–Stim interface model whose parameters are sampling rate and(More)
The parameter identification problem for a class of distributed parameter plug flow models characterized by first-order vector partial differential equations is investigated. It is assumed that the physical process is represented by a system of partial differential equations of known form but containing unknown parameters. A sequential parameter(More)
The binary asynchronous Hopfield model is a content-addressable memory for classification of binary tuples. The memory, which is a dynamic device, is prompted by a user-supplied cue, clamped to the memory as an initial state. The model is ideally designed to store a number of binary tuples as fixed points, and to classify the initial state into one of these(More)
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