The invention provides an active power distribution network multi-target optimization scheduling method of coordinating stored energy and a flexible load. In optimization scheduling of an active power distribution network, the space-time relationship between the stored energy and the flexible load and influences of network power flow are considered; and an active power distribution network optimization scheduling model employing the maximum renewable energy utilization rate, the minimum network loss and the highest consumer satisfaction degree as goals is built. An analytic hierarchy process-entropy weight method is provided for calculating weight coefficients of various sub-goals; a particle swarm optimization algorithm containing a nonlinear decreasing inertia weight is adopted for solving the built model; meanwhile, the coordinating role among various elements of the active power distribution network is quantified through setting the scheduling priorities of a controllable distributed power generation unit, an energy storage system and the flexible load; and example analysis is finally carried out. A simulation result shows that the utilization rate of renewable distributed power generation is increased through coordination and optimization of the stored energy and the flexible load; the active loss of the network is effectively reduced through the provided scheduling priorities; and the consumer satisfaction degree is improved, so that the rationality of the optimization scheme is verified.