The detection of malicious control command attacks on transformer tap changers

With the promotion of photovoltaic (PV) power generation technology, the distribution grid faces challenges in voltage control, especially with the voltage fluctuations caused by the high penetration of PV systems. Existing control methods achieve automation through Remote Terminal Units (RTUs), but smart grids are vulnerable to False Data Injection Attacks (FDIA) and malicious control command threats. This paper proposes an attack detection algorithm based on the phase angle derived from the ratio of branch current to terminal voltage, which effectively identifies attack behaviors.