Capítulo de Libro
Overload screening of transmission systems using neural networks
Autor/es | Riquelme Santos, José Cristóbal
Gómez Expósito, Antonio Martínez Ramos, José Luis Peças Lopes, J.A. |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Ingeniería Eléctrica |
Fecha de publicación | 1998 |
Fecha de depósito | 2016-03-30 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | Riquelme Santos, J.C., Gómez Expósito, A.,...,Peças Lopes, J.A. (1998). Overload screening of transmission systems using neural networks. En Methodology and Tools in Knowledge-Based Systems Vol. 1415, Lecture Notes in Computer Science pp 796-803 (1998) . |
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Overload screening.pdf | 894.9Kb | [PDF] | Ver/ | |