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 model- considers consumer preferences as well as utility benefits and network losses. 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. From the utility’s perspective, the proposed model results in better load factor which means less costs, smooth operation, and improved power quality. From the consumer side, the reduced peak load has perks such as low billing costs, no outages, and consumption pattern stability. 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 reduce the load factor for each microgrid from 5% to 27%