A Sensitivity Analysis Method for Transient Stability Assessment Feature Selection

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Input features selection is the premise of transient stability assessment base on neural network method. This paper adopts sensitivity analysis method to calculate the sensitivity-matrix of input features. And on this basis it defines important indexes and impact factors. Based on the gap information of impact factors, it selects the optimal subset of input features, which helps to decrease the redundant information and reduce the dimension of input features. This approach can improve the efficiency and accuracy of transient stability assessment effectively. The results of New England test system demonstrate the validity of the approach.

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2447-2454

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October 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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