Please use this identifier to cite or link to this item: 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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