A New AI Powered Transient Stability Enhancement Scheme for LVRT in Grid-Integrated WPS

Grid disturbances such as line faults can cause a momentary decrease in grid voltage. Reactive power deficiency during voltage dips may cause instability of grid integrated renewable based electric generators or disconnection from the power grid. Therefore, the ability of electric generators to maintain connectivity when the voltage drops is known as LVRT (low-voltage ride-through) functionality. To avoid a short circuit at the high voltage level from resulting in a significant loss of generation, LVRT is necessary at the distribution level of electricity. Current industrial practice is to use Static VAR compensators (SVC) and static synchronous compensators (STATCOM) to enable dynamic reactive power during grid disturbances, but this scheme requires additional investment and also increase system complexity. In this research work, a novel cost-effective AI powered transient stability enhancement scheme using Fuzzy Logic is proposed for LVRT in grid integrated Wind Power System without using any FACTS devices. Fuzzy logic controller is an ideal tool for handling the uncertainty and non-linearity in wind power systems. It enables to model human reasoning, real-time decision-making and offers better adaptability to varying grid conditions. Considering the voltage dip percentage and the fault time during voltage sag, the FLC decides either the WPS should remain connected to the power grid or not as per grid code requirements. Indian grid code is considered in this study. In order to support the grid's voltage recovery and meet the LVRT reactive current requirement, reactive power is also injected. To verify the control system performance, MATLAB/Simulink simulations are run on a 2 MW grid integrated PMSG based WPS.