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

Abstract

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.