Comparative study of techniques used in the generation expansion planning

Ver/Abrir
Identificadores
URI: http://hdl.handle.net/10902/19566
ISBN: 978-84-611-4707-6
ISSN: 2172-038X
Compartir
Estadísticas
Ver Estadísticas
Google Scholar
Registro completo
Mostrar el registro completo DC
Autoría
Delgado San Román, FernandoAutoridad Unican; Ortiz Fernández, AlfredoAutoridad Unican; Renedo Estébanez, Carlos J.Autoridad Unican; Ortiz Fernández, FélixAutoridad Unican; Mañana Canteli, MarioAutoridad Unican
Fecha
2007-03
Derechos
© The European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)
Publicado en
Renewable Energy and Power Quality Journal (RE&PQJ), 2007, 1(5), 418-425
International Conference on Renewable Energies and Power Quality (ICREPQ’07), Sevilla
Editorial
European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ)
Palabras clave
Generation expansion planning
Optimization
Artificial intelligence techniques
Resumen/Abstract
At the present time the generation expansion planning (GEP) has become a problem very difficult to solve for multiple reasons: many objectives, high uncertainties, very great planning horizon, etc. Its resolution by means of the exact traditional techniques, in numerous occasions, is not viable by the excessive time that is needed. For that reason, technical modern that allow the resolution in smaller time and with smaller accuracy in the solution are applied. Most of the approximate techniques are included inside a wider concept that is denominated Artificial Intelligence. In this article the more promising techniques of IA are studied indicating their applications in the PEG as well as their advantages and disadvantages.
Colecciones a las que pertenece