An Optimal Active Power Scheduling Strategy with Renewable Energy Based on Distributed Consensus Algorithms

Abstract

Aiming at the influence of the uncertainty of renewable energy generation on the power distribution of smart grid, a distributed optimal scheduling strategy for smart grid energy storage units based on consensus algorithm was proposed. This method does not rely on the central controller, but through the local communication between the energy storage units, according to their own information and acquired neighbor information to adjust the deviation between the actual and planed power in real time. In addition, in order to verify that the algorithm can optimize the network loss, MATPOWER is used to calculate the network loss before and after optimization. The system simulation results show that the proposed distributed scheduling strategy can ensure that all storage units converge to the same optimal value, and make the power grid run more economically.