Combating False Reports for Secure Networked Control in Smart Grid via Trustiness Evaluation

TL;DR

This paper proposes a trustiness evaluation system for smart grid sensors to detect false reports and prevent cyber attacks, enhancing grid stability and security.

Contribution

It introduces a trustiness mechanism based on Kalman filter predictions for sensors, specifically tailored for LQR controllers in smart grids.

Findings

Trustiness system effectively detects false reports.

Improves resilience of smart grid against cyber attacks.

Numerical simulations validate the approach.

Abstract

Smart grid, equipped with modern communication infrastructures, is subject to possible cyber attacks. Particularly, false report attacks which replace the sensor reports with fraud ones may cause the instability of the whole power grid or even result in a large area blackout. In this paper, a trustiness system is introduced to the controller, who computes the trustiness of different sensors by comparing its prediction, obtained from Kalman filtering, on the system state with the reports from sensor. The trustiness mechanism is discussed and analyzed for the Linear Quadratic Regulation (LQR) controller. Numerical simulations show that the trustiness system can effectively combat the cyber attacks to smart grid.