A particle swarm optimization algorithm based collaborative optimal scheduling for multi-level water basin in non-flood season

Water resource optimization has become an important issue due to water shortage in recent years. In the paper, we build a collaborative model for optimal water scheduling. It considers many real factors in scheduling reasonably, including domestic water, ecological water, production water, agricultural water and their backwater et al. In the model, all the factors determine the minimum required water and control section flow in river. When a water control system monitors the fact that water flow in control section is lower than the minimum required water flow. The multi-reservoirs water dispatching which based on collaborative particle swarm optimization is activated to solve the contradiction among different water demanding, especially in the peak of agricultural water in non-flood. The experiment result shows that the model in practice is reliable.