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An MILP-Based Distributed Energy Management for Coordination of Networked Microgrids

by Guodong Liu, Maximiliano F Ferrari Maglia, Thomas B Ollis, Kevin Tomsovic
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A MILP-based distributed energy management for coordination of networked microgrids is proposed in this paper. Multiple microgrids and the utility grid are coordinated through iteratively adjusted price signals. Based on the price signals received, the microgrid controllers (MCs) and distribution management system (DMS) update their schedules, separately. Then, the price signals are updated according to the generation-load mismatch and distributed to MCs and DMS for the next iteration. The iteration continues until the generation-load mismatch is small enough, i.e., the generation and load are balanced under agreed price signals. The proposed distributed energy management coordinates various microgrids and the utility grid with generation-load balance guaranteed and microgrid customers’ privacy preserved. In particular, a piecewise linearization technique is employed to approximate the augmented Lagrange term in the alternating direction method of multipliers (ADMM) algorithm. Thus, the subproblems are transformed into mixed integer linear programing (MILP) problems. The proposed MILP-based distributed energy management are demonstrated through various case studies on a networked microgrids test system with three microgrids.