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Title
Defending against false data injection attack on demand response program: A bi-level strategy
Type of Research Article
Keywords
False data injection attack Demand response Time of use Reconfiguration Bi-level optimization
Abstract
For economic reasons, consumer appliances and communication channels do not have high cybersecurity. So, due to the consumer section’s vulnerability and the communication channel, the consumer section is a potential candidate for some cyber attackers. In this paper, the destructive impact of the false data injection attacks (FDIAs) on the demand response real-time pricing is investigated. Attacker manipulating the real-time price (RTP) signal in the smart meter causes the change in the consumer’s load profile that affects network operation. This condition helps the attacker maximize the power losses in the distribution networks subject to the available attacker budget and security levels (SLs) of smart meters. A defense strategy based on the distribution network reconfiguration is proposed against FDIAs to mitigate the harmful effects of launched cyber attacks. Also, a bi-level optimization is used to model FDIA and defense strategy. At the upper level, smart meters’ optimal location is modeled to launch the FDIA constrained by the attacker’s total budget. Also, at the lower level, the network reconfiguration is modeled to find the switch’s optimal state to defend against attack. Simulation carried out on the modified IEEE 94-bus system to evaluate the proposed defense strategy efficiency.
Researchers (First Researcher)، Sajad Najafi Ravadanegh (Second Researcher)