Research on Sustainable Scheduling of Cascade Reservoirs Based on Improved Crow Search Algorithm

As an important tool for the development and utilization of river water conservancy hydropower resources, cascade reservoirs will directly affect human life ecological environment. Therefore, how to sustainably rationally dispatch resources is great importance society In order solve this problem, paper constructs objective function by considering three goals reservoir power generation target, social benefit benefit. On basis, a mathematical model scheduling established multi-dimensional constraints such as transmission supply capacity constraints, level flow constraints. addition, we consider fact that crow search algorithm (CSA) easy fall into local optimal solution due influence its flight distance parameters on ability when solving large-scale optimization problems. based particle swarm (PSO-CSA) designed multi-objective in paper. Finally, compares PSO-CSA algorithm, PSO CSA genetic (GA) which widely used resource dispatch, through simulation example. The results show superiority control problem reservoirs.