Uncertainties Impact and Mitigation with an Adaptive Model-Based Voltage Controller

This paper investigates the impact of three sources of uncertainties on a conventional model-based voltage controller, which are (i) model, (ii) load/generation forecast and (iii) grid impedance or data uncertainties. Due to the common lack of grid data availability at the distribution system level, specific attention is dedicated in this paper to the mitigation of grid impedance uncertainties. We propose methodologies to tune the grid parameters in the voltage controller based on local historical measurements. Three optimization-based methods are developed that are adapted based on the availability of the measurement data in a distribution system. Furthermore, a voltage performance index (V PI) is introduced to measure the efficiency of the proposed adaptive controller. The proposed simulations highlight how different types and levels of uncertainties can impact controller performances. Furthermore, the proposed mitigation strategies show a significant improvement in the controller performance in terms of voltage profiles. The studies are tested on an 11-bus radial distribution system.