Distributed Energy Management for Hybrid AC/DC Microgrid Parks

To realize the energy sharing among hybrid AC/DC microgrid (MG) parks, a distributed management scheme is proposed. Considering the uncertainty of loads and photovoltaic generators (PVs), the intra-day energy management of each MG is formulated as an adjustable robust optimization problem, which is reformulated to a deterministic optimization problem. Together with the power flow on DC networks, the energy management of MG park is formulated as a nonconvex optimization problem. Using conic relaxation, this nonconvex optimization problem is reformulated to its exact convex equivalent. The convex optimization problem is solved by the alternating direction method of multipliers (ADMM), which guarantees the information privacy of each MG and global convergence of the scheme. Simulations are implemented on a MG park with three MGs, connecting with other MGs through DC transmission lines. Results verify the effectiveness of proposed scheme, reducing the operational cost via energy sharing among MG parks.