Frequency response support assessment from uncertain wind generation

Abstract

Large share of uncertain generation from Wind Power Plants (WPPs) in the power systems has a detrimental impact on system frequency stability, as WPPs inherently do not provide inertial response support. Currently, extensive research is being carried out to envisage Synthetic Inertia (SI) & Primary Frequency Response (PFR) support from WPPs. Modelling of inertial response support from WPPs and its consideration in stochastic scheduling requires investigation. System inertia condition varies over a day and hence, accurate estimation of PFR requirement is a challenging task. This paper develops a novel approach to model SI & PFR support from WPPs and simultaneously estimate the system inertia condition & PFR requirement in a day-ahead stochastic scheduling framework. Wind generation uncertainty is characterized by probabilistic scenarios. IEEE Reliability Test System (RTS) is used to carry out the case studies at different wind penetration levels. Numerical results demonstrate that the SI and PFR support from WPPs reduce the overall cost by 15% and wind curtailment reduction up to 35%. SI support from WPP adds around 12% to overall system inertia. The proposed model could be enhanced for the optimal tuning of inertial, droop constants, and modelling of multiple uncertainties.