Abstract
Recent times have witnessed increasing utilization of wide area measurements to design the transmission line protection schemes as wide area measurements improve the reliability of protection methods. Usage of ICT tools for communicating sensor measurement in power networks demands immunity and resiliency of the associated protection scheme against false data injection attack (FDIA). Immunity against malicious manipulation of sensor information is attainable by securing the communication channels connecting the sensors through cryptographic protocols, and encryption. However, securing all the sensors and communication channels is economically unviable. A practical solution involves securing a reduced set of sensors without compromising fault detection accuracy. With the aim of developing a simple, economically viable and FDIA resilient scheme under the assumption that the adversary has complete knowledge of the system dynamics, the present work proposes a logical analysis of data (LAD) based fault detection scheme. The proposed scheme identifies the minimal set of sensors for FDIA resiliency and detects the state (faulty or healthy) of the power network relying on the measurements received from the 'minimal sensor set' only. Validation of the proposed protection scheme on IEEE 9-bus system reveals that in addition to being FDIA resilient, it is reliable and computationally efficient.