The invention provides an energy scheduling method and system of composite energy storage capacity of a quantum particle warm algorithm. The method comprises the following steps of solving for a target function and a constraint condition established when performing the energy scheduling of the composite energy storage capacity; initializing particles, and marking a location of the optimal individual in the swarm as a global initial optimal location; for each dimension of the particle I, computing to obtain the location of one random point, and evolving to product a new particle; under an energy scheduling strategy, computing an adaption value meeting the system constraint, namely, a target function value; respectively updating the individual of the particle and the global optimal location; judging whether a termination condition is met or not, if the termination condition is met, outputting a computation result, otherwise, reacquiring the location of one random point for each dimension of the particle I, and repeatedly updating the individual and the global optimal location of the particle. For multiple distributed power supply active power distribution networks containing composite energy storage, a quantum behavior particle swarm optimal algorithm with fast convergence speed and strong global convergence capacity is applied to configuring the capacity of the composite energystorage.