Users-transformer relationship identification based on smart meter data

Abstract

In electric power utilities, the record of users and transformers will not update the related information on time after the connection changes due to the load balance requirements or other reasons. Manual information correction not only takes time but also requires special equipment. The paper shows the innovative method and practice in the electric power utilities of the users-transformers relationship detection. In the first step, the method extracts the high-frequency features from the current time series data by wavelet transform. Then, a mathematics model which reveals the relationship between users and transformers is created based on the Kirchhoff’s law of current. At last, the result can be achieved by solving the model with mixed integer linear programming (MILP) with participation of Groubi optimizer. The paper also shows the structure and display panel of the secondary power distribution system smart management platform. The proposed method can identify the relationship between users and transformers with smart meter data and the smart management platform helps the electric power utility staff make secondary power distribution system management better.