Parameter and Topology Estimation for Electrical Power Distribution System

Abstract

The increasing integration of distributed energy resources calls for a new planning and operation tool in the power distribution grid to ensure stability and sustainability. The current planning and operation usually depend on the system model, in particular, system parameters and topology. However, such system information is missing or inaccurate in the distribution grid. Nowadays, there is abundant availability of the measurement data due to the ongoing deployment of advanced metering infrastructure. These measurements can be an obvious choice for parameter and topology estimation of the distribution grid. Estimation of the line parameters under noisy scenario is difficult due to the nonlinear nature of power injection equations with respect to voltage magnitude and phase angle. In this paper, error in variable (EIV) model has been used to accurately model input and output errors simultaneously. Effective variance approximation method has been used to estimate the line parameters. Additionally, an iterative approach for topology estimation has been used along with the parameter estimation. The performance of the proposed approach has been tested on the IEEE 33-bus distribution test feeder. The superiority and effectiveness of the approach have been discussed with the obtained results.