The on-load tap switch (oltc) plays an important role in regulating reactive power and stabilizing grid voltage in the power system. According to statistics, there are load-bearing regulator failure accounted for more than 20% of the total failure, mechanical failure accounted for more than 90% of the total failure. In recent years, with the rapid application of electric vehicles (EVs), equipment such as charging piles and energy storage devices have been incorporated into the grid, and these components have inevitably incorporated new features and challenges into the traditional grid. When a large number of different electric vehicle convergence, as well as different access levels of charging behavior, will affect the level of grid voltage. The change of voltage will directly affect the change of current, the power grid in low voltage, will lead to the power grid reactive power, active power increased, and thus increase the cost. Through the frequent voltage regulation operation of OLTC, the quality of the power grid can be improved, and the fault of the relative OLTC is also increasing. Therefore, it is necessary to design an effective mechanical characteristic extraction method of load-load regulator transformer. The purpose of this method is to find the hidden dangers in the operation of the load tap switch in the smart grid of electric vehicles as soon as possible. This early warning mechanism is of great significance to ensure the reliable operation of transformers.
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