Short-term hydrothermal generation scheduling model using a genetic algorithm
dc.contributor.author | Gil, E | |
dc.contributor.author | Bustos, J | |
dc.contributor.author | Rudnick, H | |
dc.date.accessioned | 2024-01-10T13:43:34Z | |
dc.date.available | 2024-01-10T13:43:34Z | |
dc.date.issued | 2003 | |
dc.description.abstract | A new model to deal with the short-term generation scheduling problem for hydrothermal systems is proposed. Using genetic algorithms (GAs), the model handles simultaneously the subproblems of short-term hydrothermal coordination, unit commitment, and economic load dispatch. Considering a scheduling horizon period of a week, hourly generation schedules are obtained for each of both hydro and thermal units. Future cost curves of hydro generation, obtained from long and mid-term models, have been used to optimize the amount of hydro energy to be used during the week. In the genetic algorithm (GA) implementation, a new technique to represent candidate solutions is introduced, and a set of expert operators has been incorporated to improve the behavior of the algorithm. Results for a real system are presented and discussed. | |
dc.fechaingreso.objetodigital | 2024-05-28 | |
dc.format.extent | 9 páginas | |
dc.fuente.origen | WOS | |
dc.identifier.doi | 10.1109/TPWRS.2003.819877 | |
dc.identifier.issn | 0885-8950 | |
dc.identifier.uri | https://doi.org/10.1109/TPWRS.2003.819877 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/78677 | |
dc.identifier.wosid | WOS:000186590300005 | |
dc.information.autoruc | Ingeniería;Rudnick H;S/I;99167 | |
dc.issue.numero | 4 | |
dc.language.iso | en | |
dc.nota.acceso | contenido parcial | |
dc.pagina.final | 1264 | |
dc.pagina.inicio | 1256 | |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | |
dc.revista | IEEE TRANSACTIONS ON POWER SYSTEMS | |
dc.rights | acceso restringido | |
dc.subject | genetic algorithms | |
dc.subject | hydrothermal systems | |
dc.subject | short-term hydrothermal scheduling | |
dc.subject | UNIT COMMITMENT PROBLEM | |
dc.subject | POWER-FLOW CONTROL | |
dc.subject | LAGRANGIAN-RELAXATION | |
dc.subject | DECOMPOSITION TECHNIQUES | |
dc.subject | TABU SEARCH | |
dc.subject | SYSTEMS | |
dc.subject | OPTIMIZATION | |
dc.subject | NETWORK | |
dc.subject | CONSTRAINTS | |
dc.subject | DESIGN | |
dc.subject.ods | 07 Affordable and Clean Energy | |
dc.subject.odspa | 07 Energía asequible y no contaminante | |
dc.title | Short-term hydrothermal generation scheduling model using a genetic algorithm | |
dc.type | artículo | |
dc.volumen | 18 | |
sipa.codpersvinculados | 99167 | |
sipa.index | WOS | |
sipa.index | Scopus | |
sipa.trazabilidad | Carga SIPA;09-01-2024 |
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