Low-voltage transformer area topology identification method based on big data and micro-current transmission

The invention relates to the technical field of power distribution network automation, in particular to a low-voltage transformer area topology identification method based on big data and micro-current transmission. The low-voltage transformer area comprises a main station, an energy controller, a transformer area examination meter, intelligent circuit breakers and transformer area user meters, the intelligent circuit breakers and the transformer area user meters are installed at outgoing lines of all levels of the transformer area, the intelligent circuit breakers and the transformer area user meters are provided with HPLC modules capable of sending micro-current signals, and the intelligent circuit breakers have the function of recognizing the micro-current signals. According to the method, big data and micro-current sending modes are combined, big data calculation is used as a main mode, micro-current sending is used as an auxiliary mode, and the inherent defect that big data or micro-current sending is si