High performance State Estimation for smart grid distribution network operation

Distribution System State Estimation (DSSE) stays in focus in all smart grid related topics. In Medium Voltage (MV) networks, in particular, and in distribution networks, in general, DSSE is a prerequisite for smart grid functionality. In this paper a new approach for a three-phase DSSE is presented. It utilizes the most types of analog real time measurements (including current magnitude, active and reactive power measurements). Loads are modeled based on historical or AMI/AMR information. Applying traditional state estimation on distribution networks, by using load data as pseudo measurement and zero injection constraints, causes state estimation formulations that have very large size. Approach presented in this paper is based on network reduction which reduces size of the problem. The estimation problem is solved by weighted least squares error method. The approach is very fast and provides feasible results.