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This paper addresses the problem of dynamic security classification as well as security control of power systems., using class pattern recognition. More specifically, neuro-fuzzy decision trees (N-FDTs) are proposed i.e. fuzzy decision tree structure with neural like parameter adaptation strategy, in order to classify the security status of a power system. The method is applied on a realistic model...
Difficulties in expanding the generation and transmission system force modern power systems to operate often close to their stability limits, in order to meet the continuously growing demand. An effective way to face power system contingencies that can lead to instability is load shedding. This paper proposes a machine learning framework for the evaluation of load shedding for corrective dynamic security...
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