Supervisory Level Neural Network Identifier for a Small Power System with a STATCOM and a Generator
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Abstract
A neural network based identifier is designed for effective control of a small power system. The power network in this work is considered from an external point of view, i.e., from a supervisory level. Such a neuroidentifier can serve as a general model of such a plant, and then used for different neural network based control schemes.
This paper has been withdrawn.
