Search reservoir operating policies with purpose hydroelectric power plant by genetic algorithms

Abstract

    In this study, Genetic Algorithms model is developed for optimal operation policy reservoir hydropower plant A Vương. The objective for the optimal operation of the reservoir is to maximize the annual energy. The decision variables are release for energy produced from the reservoir. The results of operations will be based on three years with the typical frequency of P = 10%, respectively, P = 50% and P = 90%. In this article the authors did not analyze the sensitivity of the model Genetic Algorithms, the Genetic Algorithms model in selecting optimal population, optimal crossover probability, optimal mutation probability and the optimal number of generations showed the values of 100, 0.75, 0.01 and 100 respectively