Analytic Model and Alarming Method of Grid Fault Diagnosis Considering Protection Startup Information

When a fault occurs in the high-voltage power grid, the existing fault diagnosis analytical model will misjudge when the key protection or circuit breaker components mis-operate or the information is falsely reported or missed. In order to solve this problem, this paper proposes a power grid fault diagnosis analytical model and alarm method considering protection start-up information. Fristly, on the basis of the traditional fault diagnosis analytical model, the difference between the expected start-up state and the actual state of the protection is added, and the fitness function of the power grid fault diagnosis considering the start-up information of the protection is constructed. Based on the particle swarm optimization algorithm, the fault components are obtained by optimization calculation, which solves the problem that the key protection or circuit breaker components have mis-operation or information false alarm and missed alarm. Secondly, based on the obtained fault component, the protection start-up information is used to generate the protection start-up level diagram to alarm the abnormal protection. Finally, the whole fault process is analyzed by the method of inference chain. The sensitivity and accuracy of the new analytical model are greatly improved compared with the traditional method, and the protection alarm method considering the protection start-up information can warn the protection with abnormal start-up information in advance, which has a good application prospect.