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- W4313490443 abstract "Nowadays, the possibility of cyber attacks is increased due to the vulnerability of two-way communication pathways and the low security of smart meters. Hence, designing proper defense strategies is crucial for having a secure power grid. In this paper, a bi-Ievel optimization formulation is presented for analyzing the interactions between the attacker and defender. At the upper level, the attacker finds the most influential consumers affecting the load variations considering the limited budget. Then, through the False Data Injection Attack (FDIA), the real-time price signals are manipulated to increase the total consumption of the grid during peak periods. At the lower level, two defensive methods are utilized after detecting the FDIA to alleviate the financial losses caused by outages. These two methods are decreasing the peak consumption using an incentive-based Demand Response Program (DRP) (the main contribution) and reducing the network losses using a network reconfiguration. The simulations are implemented on the modified IEEE 94-bus system, and the results demonstrate the correctness and effectiveness of the proposed model and formulation." @default.
- W4313490443 created "2023-01-06" @default.
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- W4313490443 date "2022-12-13" @default.
- W4313490443 modified "2023-09-30" @default.
- W4313490443 title "A Defensive Approach Against Pricing False Data Injection Attacks Based On Incentive-Based Demand Response And Network Reconfiguration" @default.
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- W4313490443 doi "https://doi.org/10.1109/sgc58052.2022.9998889" @default.
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