An Improved Genetic Algorithm for Optimal Operation of Cascaded Reservoirs

Abstract

Based on the characteristics of optimal operation of cascaded hydropower stations, a mathematic model about the multistage optimization is established. In order to improve the capability of the traditional algorithm in optimal operation of cascaded reservoirs, Niche Genetic Algorithm (NGA) is suggested. This method could avoid the situation of GA convergence at a much earlier stage. The validity of improvement algorithm is testified by the solution of three classic functions. Finally it is successfully applied to the cascaded hydropower stations of the Qing River. The results show that NGA has not only better optimization capability, but also better accuracy. It is a superior non-linear optimal method which could locally search the global solution with greater probability.