Probabilistic CVR Assessment using Load Modelling in Renewable-rich Power Systems

Conservation voltage reduction (CVR) has been affected due to uncertainties in power system parameters caused by higher renewable distributed generation (DG). These inherent uncertainties associated with the system loads and renewable DGs are neglected in the deterministic approach of CVR assessment, and hence probabilistic assessment of CVR is important in analyzing modern power systems. In this paper, a probabilistic approach has been presented to assess the impact of renewable DG uncertainties on CVR assessment through the static load model parameter. Furthermore, the impact of reduced equivalent network impedance on CVR is captured due to the random integration of renewable DGs. Using IEEE 33 bus network in DIgSILENT PowerFactory software, this approach provides an information of estimated range of CVR capabilities, rather than a fixed value, which could be beneficial in gaining a proper understanding of a distribution system model's usefulness in practice and its limitations.