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http://hdl.handle.net/10553/47218
| Title: | Optimal scheduling of power generation by evolutionary algorithms | Authors: | Winter, G. Cruz, M. Galvan, B. Greiner, D. |
UNESCO Clasification: | 1206 Análisis numérico 120601 Construcción de algoritmos |
Keywords: | Economic dispatch Evolutionary computing Expert systems Genetic algorithms Scheduling, et al |
Issue Date: | 2000 | Conference: | European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000 | Abstract: | The unit commitment (UC) and Economic Dispatch (ED) are important part of the set of actions included in the concept of Power Systems Operation. In this paper we describe the application of Genetic Algoritms (GAs) to UC and ED problems using both binary and real coding, with increased efficiency because the use of Convergence Accelerators derived from Variance Reduction Techniques widely used in Monte Carlo Method, and parameter guide using an Expert System Core embedded in the GA code. | URI: | http://hdl.handle.net/10553/47218 | ISBN: | 978-84-89925-70-0 8489925704 |
Source: | European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2000 |
| Appears in Collections: | Actas de congresos |
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