Maximization of Hydropower Using Strategies of Differential Evolution

5 Pages Posted: 22 Aug 2010

See all articles by Josiah Adetayo Adeyemo

Josiah Adetayo Adeyemo

Durban University of Technology

Fred O. A. Otieno

Durban University of Technology

Date Written: August 21, 2010

Abstract

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.

Keywords: Differential Evolution, Hydropower, Optimization, Reservoir Operation

JEL Classification: C9

Suggested Citation

Adeyemo, Josiah Adetayo and Otieno, Fred O. A., Maximization of Hydropower Using Strategies of Differential Evolution (August 21, 2010). OIDA International Journal of Sustainable Development, Vol. 1, No. 2, pp. 33-37, 2010, Available at SSRN: https://ssrn.com/abstract=1663066

Josiah Adetayo Adeyemo (Contact Author)

Durban University of Technology ( email )

P. O. Box 1334
Durban, 4001
South Africa

Fred O. A. Otieno

Durban University of Technology ( email )

P. O. Box 1334
Durban, 4001
South Africa

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