Artificial neural networks for static security assessment

Artificial neural networks for static security assessment

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The chapter gives a short introduction to static security assessment. It discusses merits and pitfalls of different artificial intelligence approaches, and then focuses on the application of artificial neural networks (ANN) to static security assessment by studying the nature of different supervised and unsupervised neural nets. Finally two examples will illustrate in more detail the application of multi-layer perceptrons and Kohonen's self-organising map to power system static security assessment.

Inspec keywords: power engineering computing; power system security; self-organising feature maps; multilayer perceptrons

Other keywords: Kohonen self-organising map; artificial neural networks; static security assessment; power system security; artificial intelligence approach; supervised neural nets; unsupervised neural nets; multilayer perceptron

Subjects: Power system protection

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