Optimal Scheduling of Battery Charging-Swapping Systems for Distribution Network Resilience Enhancement

When offshore-island renewable distribution system (OIRDS) encounters multiple failures in case of extreme weather, battery charging-swapping system (BCSS) is a promising solution to reduce the power outage loss and enhance resilience of the OIRDS. However, extreme weather (such as heavy rain) may affect the logistic speed, resulting in a non-integer-hour battery schedule time among stations. Although rounding the time as integer hours could match the scheduling step size, result errors would be caused. To solve the problem, a novel OIRDS resilience enhancement strategy is proposed. First, the impacts of the rainfall, solar radiation, and wind speed on the renewable generation and battery transfer time are analyzed. On this basis, a dual unit commitment method is presented to coordinate the scheduling step and non-integer-hour battery transfer time. Moreover, an optimal OIRDS resilience enhancement model integrating decisions of the battery schedule and network reconfiguration is presented based on a 1-hour scheduling step. This model is converted into a mixed-integer linear programming (MILP) problem and solved efficiently. Simulation studies on an IEEE-11 node distribution network indicate the proposed strategy is effective and beneficial