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A high-frequency equivalent circuit modeling method is proposed, which can model the overvoltage sensor called Current Transformers (CTs). The proposed method uses the formula, which is based on the electromagnetic resonance, to get the high-frequency equivalent circuit. Then the magnitude of overvoltage can be reconstructed according to the last-screen current and high-frequency equivalent circuit. It is important to rebuild overvoltage, which can effectively assess the insulation risk and ensure the safe operation of the power grid. In this paper, the correctness of the proposed high-frequency equivalent circuit is verified by a simulation model, the conclusion is given by numerical results. while the measurement results show that by fitting the parameters of the equivalent circuit, the admittance of the Current Transformers can be obtained.

Taking account of the effect of the driver's memory, an extended car-following model is proposed in this paper. A control signal including the velocity contrast of considered car and the following car is taken into account in this extended model. Numerical simulations are implemented to prove that the application of the model can suppress the traffic congestion successfully.

Taking account of the road consisting of curved part and straight part, an extended car-following model is proposed in this paper. A control signal including the velocity difference between the considered vehicle and the vehicle in front is taken into account. The control theory method is applied into analysis of the stability condition for the model. Numerical simulations are implemented to prove that the stability of the traffic flow strengthens effectively with an increase of the radius of curved road, and the control signal can suppress the traffic congestion. The results are in good agree with the theoretical analysis.