Evaluating the impact of coordinated multiple mobile emergency resources on distribution system resilience improvement

Abstract

Extreme weather events in recent years have resulted in numerous incidents of major power outages and significant economic losses. Therefore, it is crucial to find potential solutions that can improve the resilience of the distribution system (DS). In this regard, this paper proposes a two-stage resilient restoration model for distribution systems utilizing Electric Vehicles (EVs) and Mobile Energy Resources (MERs) to address the issue. The impact of a transportation network on the two-stage model is represented by the consideration of interdependence between vehicle routes and distribution lines. Initially, the charging and repair stations are strategically placed on the transportation network before an extreme event by considering the distribution lines that have a high probability of failure during the event. An integer nonlinear programming model is used to determine the optimal number and staging locations of the charging and repair stations during the development of the first stage. The second stage involves the design of a mixed integer linear programming model to restore loads and recover the DS via optimizing the dispatch of EVs with MERs on the transportation network. The proposed method is tested on modified IEEE 123-Bus system. The utilization of EVs alongwith MERs under post-disaster conditions helps to reduce the ENS by 42.1038 %. The ENS found to be 7.9150 MWh utilising the proposed method is much less compared to the ENS obtained by existing method and hence this demonstrates the effectiveness of the proposed method.