A General Resiliency Enhancement Framework for Load Frequency Control of Interconnected Power Systems Considering Internet of Things Faults
Zhijian Hu, Renjie Ma, Bohui Wang, Yulong Huang, Rong Su
Abstract
While the Internet of Things (IoT) structure is capable to facilitate the distributed load frequency control (DLFC), the open-air sensors and the intrinsically open communication networks are inevitably vulnerable to uncertain environments. This work endeavors to present a general resiliency enhancement framework for DLFC considering the IoT faults. Multiple fault sources are incorporated, including the intermittent measurements caused by sensor aging, the communication network failures caused by cyberattacks, etc. The framework is equipped with two resilient layers. The first resilient layer focuses on the offline robust DLFC design, in which we consider the intermittent measurements from sensors in system modeling. The second resilient layer concerns the online cyberattack detection, which can further tolerant the incomplete modeling issues of the first resilient layer. Simulation results verify the efficacy of the presented resilient framework.