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

Abstract

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