Abstract
This letter proposes a novel coordinated network reconfiguration and mobile energy storage system (MESS) fleets dispatching model considering the uncertainty in DG output and load forecasts to increase the resilience of the active distribution network (ADN) after disasters. The MESS traveling strategy is modeled by an extended transit delay model. Then, a novel deterministic network restoration model incorporating the MESS, stationary energy storage system, distributed generation (DG), demand response (DR) and network reconfiguration is proposed and programmed using mixed integer linear programming. Then, an ellipsoidal uncertainty set is employed to describe the uncertainty of load and DG output forecasts and a robust network restoration model proposed based on the deterministic one. The proposed deterministic and robust network restoration models are verified on a 59-bus rural distribution system in China.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
