Cascade Reservoir Optimal Operation Based On Chaotic Particle Swarm Optimization

In order to solve the cascade reservoir system scheduling, this paper proposed a novel cascade reservoir optimal operation model based on chaotic particle swarm optimization (CPSO) algorithm. The traditional particle swarm algorithm is improved by using the nature of chaos sequence including the quasi-stochastic property and ergodicity, which can avoid particle swarm optimization (PSO) algorithm into local optimum and improve the speed and precision of the particle optimization process. The case study in the Upper Yellow River showed that the proposed model was capable of cascade reservoir optimal operation.