Robust false data injection attacks in electricity markets by limited adversaries

Deregulated electricity markets consist of look-ahead and real-time markets, across which energy price is generally volatile. Moreover, dispatch and pricing decisions in the real-time market strongly hinge on the quality of the real-time state estimation routines, which are designed to provide real-time information about operation state of the grid. The adversaries can leverage price volatility in conjunction with the dependence of the real-time markets on the state estimates in order to carry out profitable financial misconduct, e.g., via virtual bidding. When the adversaries can access to complete network information, the attack strategies are studied extensively in the existing literature. This paper focuses on limited adversaries who have only partial network information, in which the uncertainties are modeled as bounded values, and offers realistic attack strategy approach to guarantee the worst-case performance for attackers. Designing such attacks is investigated analytically, and examined in the IEEE 14-bus system.

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