A Dynamic and Proactive Multi-Microgrid Network Reconfiguration Model for Load Factor Improvement

The future design of power networks will witness a radical change in its architecture. A vital component of this architecture is the use of microgrids. Accordingly, the integration of multi-microgrids within the network will have a significant importance in the future. In this paper, a new mixed integer linear programming model is developed for the multi-microgrid-based network reconfiguration and load aggregation problem. The formulated model aims to maximize the load factor of each microgrid in the network and flatten the peak load curve without disturbance for the households’ consumption patterns.The proposed model determines the near optimal topology for the network, in other words, it assigns households to a microgrid while aiming to match the aggregated households’ loads of the assigned households with the capacity of the associated microgrid. The proposed mixed integer linear programming model is used to solve the reconfiguration problem with respect to distribution losses, microgrids output and households’ consumption. Moreover, a linearization approach of the load factor equation is proposed to reduce the model complexity and computational time. The obtained results show that the network reconfiguration could increase the load factor for each microgrid with increase percentage ranges from 8% to 53%