Optimal scheduling of microgrid with consideration of demand response in smart grid

Microgrid is a low-voltage organic system composed of loads, microsources and energy storage devices, and has high demand response potential. Based on advanced metering, efficient control, high-speed communications and rapid storage technology, controllable loads, microsources and energy storage all can be viewed as “generalized demand responses” in microgrid. This paper described a “source-storage-load” interactive demand response hierarchical control system aim to minimizing the operation costs of microgrid. An optimal scheduling model was established to improve load curves and optimize power outputs of microsources, charging and discharging of energy storage devices, and the interactive power between microgrid and the grid. To solve the model this paper improved particle swarm optimization algorithm (PSO) by the introduction of “catfish effect” which comes from economic management. The proposed model and method are validated with the simulation results.