Cooperative Optimization Scheduling With Application To Multi-Reservoir System During Non-Flood Period

The shortage of water resources and deterioration of water environment cause substantial impact on social economic development. With the hydropower station and reservoir gradually built, the cooperative optimization scheduling of multi-reservoir system plays more and more important role in water dispatch problem. Thus, it is a great meaning to study on the cooperative optimization scheduling, which is a principal method for water resources dispatching of multi-reservoir system during non-flood period.This thesis studies two problems:the deterministic optimal scheduling of multi-reservoir and the random one. The previous one makes the reservoir outflow as a particle swarm algorithm of input, the whole minima of water storage as the output. Firstly, it establishes a network model of the whole river basin. Secondly, it uses an improved particle swarm algorithm, which is based on evolution mechanism to modify the evolution of particles operation to optimize the model. Finally, it obtains the global optimal solution.Since reservoir operation depends on the future runoff state to a great extent, and no methods can exactly forecast the future runoff now, the random optimal scheduling of multi-reservoir is proposed to solve the prediction of runoff problem. Based on support vector regression machine theory, it proposes two methods for long term and short term prediction of runoff, respectively. Furthermore, the proposed particle swarm algorithm in Section 2 is used to optimize the random optimal scheduling model, which becomes a new method for optimization scheduling of multi-reservoir system.The hybrid particle swarm implementation model based on the evolution theory and long term, short term runoff prediction algorithms presented in this paper enrich the research framework of water resources dispatching, and give out some novel concepts and methods for the water dispatching problem during non-flood period. The presented water aided decision during non-flood period platform not only provides a information service for the water dispatching management, that can be effective and convenient, but also give out aided decision opionion for the water dispatching problem.