Droop-Control-Aided State Estimation and False Data Detection in Active Distribution Systems

In this paper, an enhanced state estimation (SE) method for active distribution systems (DSs) is presented. The advancement of the proposed method lies in the integration of the local control logic of the distributed renewable energy sources, i.e., the droop control, into the mathematical formulation of the SE optimization problem. The proposed method is evaluated in comparison with the conventional weighted least squares SE method, both as a stand-alone state estimator and under false data injection cyberattacks. Simulations on two real-world medium-voltage DSs demonstrate the improved performance of the proposed method in terms of estimation accuracy and system observability, as well as its superiority against both random and sophisticated false data injection attacks.