Resilient distribution network with degradation-aware mobile energy storage systems

The mobile energy storage system (MESS) with temporal and spatial flexibilities plays an important role in resilience enhancement of power systems. However, the aging characteristics of these mobile storage facilities are rarely considered or not exactly quantified in the general MESS scheduling approach and consequently the economical operation of MESSs can't be ensured during dispatch. To address this issue, in this work, the degradation cost of batteries in MESSs is integrated into a resilience -oriented scheduling model for distribution networks. Specifically, the empirical degradation model is linearized as a function of the state of charge (SoC), depth of discharge (DoD), and current rate. The nonconvex term of degradation cost model is further linearly relaxed by the McCormick envelope method. The scheduling problem is formulated as a mixed integer linear program (MILP) model so that the dispatch decisions of MESSs can be derived by using commercial solvers. Finally, the proposed model is validated by several case studies on IEEE 33 -bus and 118 -bus test systems. The comparative results demonstrate that the degradation -aware scheduling model can markedly decrease the degradation cost of MESSs while enhancing the resilience of distribution networks. Following the load interruption cost reduction of 42.52% and 34.77%, the degradation cost of MESSs during scheduling will decrease by 47.58% and 36.59% for the 33 -bus and 118 -bus systems.