A Smart Approach for Intentional Islanding based on Dynamic Selection Algorithm in Microgrid with distributed generation

The electricity distribution system provides major opportunities for smart grid because of its important role of distributing electrical power from the main grid to users, it has the potential to supply electricity during grid outages. An outage or intentional islanding is one of distribution system problems and we should rethink our concept to include autonomous micro-grid and dynamic distribution concepts with distributed generations. In this condition, it is important for the micro-grid to continue to provide a constant power to the islanded zone load. This paper presents a new approach to power shortages problem and specifies the goals of strategy can be in an intentional-islanding operation to improve public access to power and provide consumer power during emergencies and grid outage, we explain in this paper a potential outage management approach and determine the best way to distribute the planned outages among the consumers, the planning should cover all entities in the islanded zone but our goal is to have the minimum loss and the maximum consumer covered. We build our smart distribution network based on consumer parameters like geographic coordinates, energy produced, emergency load, optional load, energy produced and category. When the micro-grid is cut off from the main grid the system detect the most emergency entity and take this entity as start point to build a dynamic planning, each entity near of the entity reference will be is added to the network tree if his emergency load is covered by the local distributed generator. As result of emergency strategy we obtain an outage distribution network for the intentional islanding. An intelligent algorithm is developed to solve the problem. We also discuss some results of the different distribution model.