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The Operation Planning of Hydroelectric Systems is a large, time-coupled, stochastic, space-coupled and nonlinear optimization problem. The formulation of such problem can have several conflicting objectives in the representation of different aspects of the problem. In this work, we propose two approaches for the study and resolution of this problem. The proposals are based on two Evolutionary Metaheuristics—Genetic...
The Operation Planning of Hydroelectric Systems is a large, dynamic, stochastic, interconnected and nonlinear optimization problem. In this model, the minimization of penalized thermal complementation is considered as the objective function with the water discharge of hydroelectric plants at each period as the decision variables. An adaptation of two Evolutionary Metaheuristics, the Genetic Algorithm...
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