Abstract:The past decade has seen the burgeoning research in the application of big data mining in power distribution network which covers various fields of power system. According to the characteristic of power industry, data mining can be implemented in the following field, including equipment status control, defect control, outstate state, load sate, voltage quality, three-phase unbalance, distribution line load risk assessment, line loss, grounding analysis, health evaluation of equipment, current status evaluation, risk warning, overload warning, thunder disaster warning and the seasonal characteristics of voltage distribution network to predict the risk of distribution network and seasonal characteristics to predict the risk of mining overload. For us, concerns about how to improve the technical efficiency, economical efficiency, comprehensiveness and systematically development of smart distribution network keep growing. This paper focuses on current research in distribution network and big data mining technology in both international and domestic papers which is instructive for future study.