Artificial neural networks for static security assessment
Dagmar Niebur, R. Fischl · Institution of Engineering and Technology eBooks · 1997
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.