Robustness of Local Energy Markets to Cyberattacks: Case Study of False Data Injection
The research investigates how coordinated false data injection (FDI) attacks can disrupt market clearing in community-based local energy markets by manipulating power demand and solar forecasts. The study uses a bilevel optimization framework to find worst-case attacks that maximize voltage deviation while remaining stealthy, showing that these bounded attacks cause asymmetric trading shifts across interconnected communities.