Capítulo de Libro
Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production
Autor/es | Troncoso Lora, Alicia
Riquelme Santos, José Cristóbal Martínez Ramos, José Luis Riquelme Santos, Jesús Manuel Gómez Expósito, Antonio |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos Universidad de Sevilla. Departamento de Ingeniería Eléctrica |
Fecha de publicación | 2003 |
Fecha de depósito | 2016-04-01 |
Publicado en |
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Resumen | In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy production is presented. The equations that define the problem lead to a nonlinear mixed-integer ... In this paper, an evolutionary technique applied to the optimal short-term scheduling (24 hours) of the electric energy production is presented. The equations that define the problem lead to a nonlinear mixed-integer programming problem with a high number of real and integer variables. Consequently, the resolution of the problem based on combinatorial methods is rather complex. The required heuristics, introduced to assure the feasibility of the constraints, are analyzed, along with a brief description of the proposed genetic algorithm. Finally, results from realistic cases based on the Spanish power system are reported, revealing the good performance of the proposed algorithm, taking into account the complexity and dimension of the problem. |
Cita | Troncoso Lora, A., Riquelme Santos, J.C.,...,Gómez Expósito, A. (2003). Application of Evolutionary Computation Techniques to the Optimal Short-Term Scheduling of the Electrical Energy Production. En Current Topics in Artificial Intelligence, Lecture Notes in Computer Science, Volume 3040, pp 656-665 (2003) . |
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