Maximization of Hydropower Using Strategies of Differential Evolution

Differential evolution algorithm as a family of evolutionary algorithms is extended to the maximization of hydropower generation in this study. Ten strategies of differential evolution are studied to determine the best strategy for the model. The model is adapted to the monthly operation of Vanderkloof dam in the Lower Orange river in South Africa. From the results, differential evolution strategy 8 (DE/best/2/exp) is the best for this model by generating 510 GWH of energy using 11,389.49 Mm3 of water. It is concluded that differential evolution strategies with exponential crossover method are better than differential evolution strategy with binomial crossover method for the model presented in this study