Day-ahead Energy Trade Scheduling for Multiple Microgrids with Network Constraints

In this paper, a day-ahead market framework based on alternating direction method of multipliers (ADMM) for trading energy between interconnected microgrids (MGs) is proposed. This framework takes into consideration the electric network constraints along with the inter-temporal battery energy storage systems (BESSs) and instantaneous distributed generators (DGs) power requirements. The market framework allows the interaction between the main grid and the MGs while preserving the local operation independence and autonomy. The framework is tested on a 144-bus network consisting of 3 MGs, and the numerical results validates the effectiveness of the proposed market clearing model.