Optimal scheduling of power generation by evolutionary algorithms
Optimal scheduling of power generation by evolutionary algorithms
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.
Expert systems, Economic dispatch, Scheduling, 1206 Análisis numérico, 120601 Construcción de algoritmos, Genetic algorithms, Evolutionary computing, Unit commitment
Expert systems, Economic dispatch, Scheduling, 1206 Análisis numérico, 120601 Construcción de algoritmos, Genetic algorithms, Evolutionary computing, Unit commitment
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