Modelling of grid following inverter for performance evaluation of positive sequence memory polarized distance relay
Meenu Jayamohan (Indian Institute of Science)
Sarasij Das (Indian Institute of Science)
Jose De Jesus Chavez (Tecnologico de Monterrey, TU Delft - Intelligent Electrical Power Grids)
Marjan Popov (TU Delft - Intelligent Electrical Power Grids)
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Abstract
Integration of Inverter-Based Resources (IBRs), like Photovoltaic (PV) and Wind Turbine Generator (WTG), into the power grid necessitates accurate inverter models for assessing their dynamic behaviour and interaction with protection functionalities, such as the Positive Sequence Memory Polarized (PSMP) mho distance relay. This research examines the appropriate Grid Following (GFOL) inverter models for the performance evaluation of PSMP mho relay, considering accuracy and computational efficiency, which is lacking in the existing literature. The research meticulously investigates three different GFOL inverter model structures: detailed, average, and generic models. Each model is thoroughly evaluated for its computational burden and accuracy during events. The GFOL PV generators used in this study are equipped with reactive power priority control and incorporate Low Voltage Ride-Through and High Voltage Ride-Through functionalities. A significant finding of this study is that the generic model can adequately simulate the performance of PSMP mho relays. This offers a valuable solution for computationally efficient system-level studies without compromising relay performance accuracy.