A novel demand-side dispatching method is put forward aiming at reducing electric cost and shifting load. According to Shanghai high-tech park’s microgrid

functions of controllable resources in the microgrid operation are analyzed. The demand-side management system uses storage resources and shiftable load resources to shed and optimize whole-day load curve in advance. Considering that the optimization is the nonlinear mixed integer programming

the particle swarm optimization (PSO) algorithm is employed to solve the problems. In addition

heuristic rules and iteration algorithm are combined to speed up the calculation and get better conclusion. Example indicates that by using the optimization of demand-side management system

not only the overall load peak is shifted

but also the electricity costs are reduced by the time of use price policy

the speed is more quickly

and the results are close to the conclusion delivered by centralization method. This work is supported by National Key Technologies R&D Program (No. 2013BAA01B04) and Shanghai Committee of Science and Technology (No. 12dz1200203).