Overload screening of transmission systems using neural networks
1998
Riquelme Santos, José Cristóbal | Gómez Expósito, Antonio | Martínez Ramos, José Luis | Peças Lopes, J.A. | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | Universidad de Sevilla. Departamento de Ingeniería Eléctrica
The process of determining whether a power system is in a secure or insecure state is a crucial task which must be addressed on-line in any Energy Management System. In this paper, an Artificial Neural Network, capable of accurately identifying the set of harmful contingencies, is presented, along with several results obtained from a real-size power network. The proposed approach makes use of classical numerical techniques to compensate the ANN'S inputs so that it can deal with topological changes in the power system.
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