Fault diagnosis method for power distribution systems based on multi-source information

摘要

Considering that the information uploaded by fault indicator devices is often lost or wrong in actual operation, a fault diagnosis method for distribution networks based on multi-source information is developed in this paper. The multi-source information includes information from distribution automation terminals and the customer electric information acquisition system (CEIAS). Firstly, using the information uploaded from the remote terminal unit of distribution automation system, the fault hypothesis set is formed based on the immune algorithm. Then the fault hypothesis set is further judged by the information collected from CEIAS to get the correct fault section and the incorrect alarms. The correct conclusion can also be obtained by using this method in case of that the key information is incorrect or there are many incorrect or missing alarms at the same time. The validity and accuracy of the proposed method are verified by the simulation of F1 feeder in IEEE RBTS BUS-2 distribution system.