Sequential Perturbation-based FDIA Detection using DERs for Unbalanced Distribution System

Conference · Fri Jan 01 04:00:00 EST 2021

DOI:https://doi.org/10.1109/ISGT49243.2021.9372180· OSTI ID:1855972

Jhala, Kumarsinh; Pradhan, Parth; Chen, Bo; Singh, Ravindra

The power distribution system with its reliance on automated monitoring and control infrastructure makes it a complicated cyber-physical system and vulnerable to various cyber-attacks. This paper proposes a moving target defense inspired false data injection attack (FDIA) detection mechanism for an unbalanced distribution system. In the proposed grid diagnosis service framework, the distribution system operator judiciously manipulates power outputs of a subset of inverter-based distribution energy resources (DERs) to create secret low magnitude voltage perturbations which are inconsequential to the normal operation of the grid. A mixed-integer-linear-programming algorithm is developed to select the optimal set of DERs that can create a voltage perturbation signal of the required magnitude at each sensor location at a minimum cost. Then, a sequential detector is applied that detects for the FDIA as measurements are received from individual sensors. The performance of the proposed perturbation-based FDIA detection framework is demonstrated via simulation of the IEEE 123 bus test system.

• Research Organization: Argonne National Laboratory (ANL)
• Sponsoring Organization: USDOE Office of Cybersecurity, Energy Security, and Emergency Response
• DOE Contract Number: AC02-06CH11357
• OSTI ID: 1855972
• Country of Publication: United States
• Language: English

Related Subjects

Attack Detection
Cyber Security
Distributed Energy Resources
False Data Injection
Moving Target Defense
Power Distribution
Voltage