Distributed receding-horizon optimal operation in multi-microgrids considering both grid-connected and autonomous modes

With the large-scale development of microgrids-(MGs), adjacent area could formulate multi-microgrids (MMGs) due to the mutual connection and supply, stimulating the problem about efficient and economic operation in multi-microgrids and becoming one of the pivotal technologies. This paper presents distributed predict optimal operation algorithm and control strategies considering the situation of grid integration and stand alone for the multi-microgrids with series structure. As for the operation when the multi-micgrids is connected, we take time-sharing price into consideration for maximum benefit while we comprehensively premeditate the rate and time of load power supply to satisfy the users' demands in autonomous situation. Based on sources and loads prediction, we build economy optimal objective function in every layer of multi-microgrids, uniting the central controller of every sub-microgrid to realize the receding-horizon optimal operation. Case study results verify the feasibility and better economy of the proposed method.