Clustering-Coefficient Based Resiliency Approach for Smart Grid

Maintaining a power grid's functions is of paramount importance to grid operators as power is essential to almost all aspects of daily human activities. Grid resiliency keeps services up to the customers even upon failure incidences. A modernized power grid should balance the power load and overcome the fault state by minimizing its impact. Resiliency researchers have proposed many schemes for post-failure grid incidents. However, there is not yet an overall framework that combines both in-depth analyses of low-level topological characteristics to evaluate the existing grid resiliency and then improve it whenever required. In this paper, we present microlevel topological and resilience analysis of multiple IEEE bus systems. We propose a two-phase resilience framework for the smart power grid: the resiliency evaluation and the resiliency enhancement. While the first phase provides empirical evidence of the sufficiency of exploring a limited number of backup power lines upon an incident, the second phase employs clustering coefficient as a key indicator to enhance grid resiliency. We implement our proposed framework, validate it and show its effectiveness using the IEEE 14-bus system.