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Abstract
Managing disruptive events at the operating phase of an engineered system therefore improving the system's failure resilience is an importance yet challenging task in system operation. For complex network system, with different disruption scenarios, the resilience can be improved by enhancing the failure restoration capability of the system with appropriate system recovery strategies. Specifically, for power distribution system, practical recovery methods include but not limit to, rerouting transmission lines, optimal recovery sequencing and distributed energy resource (DER). With all those recovery strategies, considering different characteristics of disruptive events and their impacts to the performance of a system, effective recovery strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable principles for selecting effective recovery methods thus achieving the desirable failure restorations. In this study, an analysis of different recovery strategies for power system is conducted with the focus on the effectiveness of restoring system performance after the system has undergone disruptive events. A generic framework is proposed for decision maker to assign recovery plans. A case study of an electricity transmission system is used to demonstrate the feasibility of the formulation of the recovery process.
Keywords: resilience, power systems, network reconfiguration, recovery sequencing, disruption management
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1.Introduction
With the technical advances, interdependent critical infrastructures (ICIs) have significantly grown both in size and complexity. Further, these infrastructures face a dynamic world and accelerated pace of changing. Moreover, disruptions of ICI could lead to catastrophic societal losses such as human lives, damage of government assets and harm to public confidence. Thus, pursuit for more robust system design and operation has been persistently studied. Large complex systems usually contain several interconnected components or subsystems that can interact with each other in diverse ways. Besides, the performance of the ICI not only depends on the performance of each individual components or subsystems but the interactions among these different components and sub-systems. As a result, ICIs are usually modeled as networks with interdependent nodes and arcs, thereby the resilience analysis of system performances considering different disruptive events can be performed [1]. According to the U.S. Department of Homeland Security, there are 16 critical infrastructure sectors whose assets, systems, and networks, whether physical or virtual, are considered so...