Improving Resiliency of Cyber-Dependent Power Distribution Network Using UAVs

Abstract

Resiliency enhancement of the power distribution network (PDN) through restoration is paramount in the face of escalating natural disasters. State-of-the-art literature has centered on augmenting resiliency through network reconfiguration, along with the integration of renewable energy resources (RES) and mobile energy storage systems (MESS). However, these approaches often assume an intact communication infrastructure, a premise that fails to address the damage in the cyber or communication network (CN). This study introduces the integration of unmanned aerial vehicles (UAVs) for wireless communication in the aftermath of communication infrastructure damage. Motivated by this, a comprehensive mixed integer linear programming (MILP) problem-based restoration framework is proposed, aiming to elevate PDN resiliency considering a cyber-dependent PDN. This approach encompasses network reconfiguration, MESS, and UAV integration. The proposed method's efficacy is evaluated through rigorous testing and validation on the cyber-dependent IEEE 33 bus system and IEEE 123 bus system. This work pioneers a holistic approach to PDN resiliency, considering communication challenges often overlooked.