Research on Fault Diagnosis and Recovery Technology of Wind Farm Security System Based on Smart Grid

with the large-scale access of wind farms to the power grid, the security system is prone to problems such as delay in fault identification, excessive power impact in the recovery process, and obvious fluctuations in system frequency and voltage, which seriously affect the safe and stable operation of the power grid. Aiming at these problems, this paper proposes a fault diagnosis and recovery technology of wind farm security system based on smart grid. In the diagnosis stage, a multi-agent architecture is constructed to realize the fusion of current sudden change criterion and phasor information, so as to achieve rapid and accurate fault identification and location; in the recovery phase, a phased grid connection strategy based on the possible off grid power index is proposed to effectively suppress the impact of power mutation on the power grid. The experimental results show that the fault recognition accuracy of this method is 98.7%, which is about 6.4% higher than that of the traditional method; the average response time was shortened to 38 ms, an increase of nearly 47%; in the recovery link, the average recovery time is shortened by 37.6%, the power fluctuation amplitude is reduced by 57.3%, and the secondary off grid probability is reduced to 1/6. The results show that this method can significantly improve the diagnosis speed, recovery efficiency and system stability of wind farms under fault conditions, and provide technical support for the grid connected operation of wind power in smart grid.