The application discloses a provincial
power grid day-ahead plan hierarchical progressive optimization method containing multiple pumped storage power stations, which comprises the following steps: obtaining basic data of a power
system; establishing a power
system day-ahead plan optimization model containing multiple pumped storage power stations; calculating day-ahead plan output values of wind, light and conventional units; further calculating start-stop plan of each pumped storage unit according to the plan output values; and finally obtaining day-ahead output plan values of each unit by solving the pumped storage start-stop plan. The application can overcome the difficulty in convergence when the scale of integer problems and
linear programming problems is large even if mature optimization solvers such as CPLEX and GLPK are used, make large-scale integer linear
mixed programming problems converge better, meet the online application requirements of day-ahead plan making, and have important practical significance for fully utilizing
new energy and efficiently operating pumped storage power stations.