Distribution Network Service Restoration Strategy Considering Soft-Open-Point and Mobile Generators

This paper proposes a service restoration model considering a variety of power resources when the power outages of the superior substation is caused by extreme events. The model can dispatch energy storage system (ESSs), mobile emergency generator (MEGs) and renewable distributed generators (DGs), and can change the topology of distribution system in real time by utilizing soft open points (SOPs) and dynamic reconfiguration, which improves the network flexibility of the distribution system and maximizes the use of existing resources for service restoration. After being linearized, the model is a mixed integer linear programming (MILP), which can be efficiently solved by commercial solvers such as CPLEX and Gurobi. The modified IEEE 37 bus distribution system is tested, and the results demonstrate the effectiveness of the proposed model.