Distributed consensus-based algorithm for dynamic economic dispatch with wind turbine and energy storage

In this paper, a dynamic economic dispatch problem (DEDP) considering wind turbine (WT) and battery energy storage system (BESS) in a smart grid is formulated, which aims at minimising the total cost and making economic use of distributed energy resources, while meeting the requirement of constraints. To solve this problem, we propose a distributed consensus algorithm based on alternating direction method of multipliers (ADMM) and projected gradient method on the assumption of strongly connected and balanced communication networks. What's more, on the basis of average consensus theory, each node estimates the total power demand which is usually regarded as a known variable to make the condition more practical. Besides, we adopt the idea of bisection to deal with the exponential term in cost function. Our algorithm is fully distributed via local computation and guarantees power balance at each time slot. The effectiveness of the proposed algorithm is verified in simulation example.