Service Restoration Based on Interruption Loss for Resilient Distribution System Considering Distributed Generations

Extreme weather events arise the need for improving the resilience of power distribution systems. To this end, the distribution system restoration (DSR) is invoked to restore the critical load quickly after a major outage caused by the disaster in distribution systems. The introduction of distributed generation (DG) and microgrids in distribution system also improves the resilience of the distribution system and leads to novel and effective DSR strategies. In order to reduce the economic loss caused by outage directly and effectively, this paper proposes a load restoration method based on the interruption loss for distribution system using the distributed energy resources (DERs). The objective function is formulated by customer interruption cost (CIC) and the amount of de-energized load, aiming at minimizing the interruption loss. CIC is obtained through an indirect analytical method by using the regional production information of different categories of electrical customers in this paper. System modelling and operational constraints are applied with considering the outputs of both dispatchable and non-dispatchable DGs and system spinning reserve. In order to deal with the nonlinear part of the proposed DSR model, the piecewise linearization method is used to linearize the power flow constraints, and the proposed DSR model is finally formulated as a mixed integer linear programming (MILP) problem. The effectiveness of proposed DSR method is validated based on modified IEEE-33 distribution test systems. Numerical results show that the proposed DSR method can restore critical load, reduce the interruption loss, and improve the resilience of the distribution system effectively.