Monitoring and diagnosis process of abnormal consumption on smart power grid

In this paper, an integration analysis of abnormal situation based on statistical process control and fuzzy diagnosis technologies is constructed. The users' electricity consumption data, which come from smart meters and electricity information collection system, are collected and analyzed. Shewhart control chart is used to monitor the data. If some data are abnormal, fuzzy diagnosis technology will be used to dig the abnormal reason so as to take timely and effective remedial measures. The actual numerical test result shows that the integration can indeed find the reason of the abnormal of electricity.