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Bad Data Injection (BDI) in Smart Grid is considered to be the most dangerous cyber attack, as it might lead to energy theft on the end users, false dispatch on the distribution process, and device breakdown on the power generation. State Estimation and Bad Data Detection, which are applied to reduce the observation errors and detect false data in the traditional power grid, could not detect the bad...
Bad data injection is one of most dangerous attacks in smart grid, as it might lead to energy theft on the end users and device breakdown on the power generation. The attackers can construct the bad data evading the bad data detection mechanisms in power system. In this paper, a novel method, named as Adaptive Partitioning State Estimation (APSE), is proposed to detect bad data injection attack. The...
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