Aiming at the frequent occurrence of overvoltage in power system

which seriously threatens the safety of equipment and personnel

a pattern recognition method based on support vector machine is proposed. Based on the overvoltage waveforms collected by Chongqing 110 kV substation

the characteristic differences of different overvoltage waveforms are analyzed

and then six kinds of characteristic quantities that can effectively reflect the difference between ferroresonance and lightning overvoltage are extracted by time domain analysis and frequency domain analysis. Finally

the extracted characteristic quantities are applied to overvoltage pattern recognition. The theoretical basis of support vector machine used in this recognition method is simple and intuitive. The simulation results show that this method can correctly identify ferroresonance and lightning overvoltage

and has the advantage of fast recognition speed.