Data-Driven Estimation of Grid Voltage Phase Angle through di/dt Analysis for Hysteresis-Controlled Single Phase Inverter

This paper proposes a data-driven method for estimating grid voltage phase angle in a hysteresis-controlled single-phase inverter through current derivative analysis, bypassing the need for voltage sensors and phase-locked loops (PLLs). Particularly beneficial for weak grid connections, this voltage-sensorless approach incorporates unique data processing and both linear and nonlinear curve fitting techniques. Its effectiveness is validated by simulations and experimental data, showcasing the potential for enhancing the resilience of grid-connected converters in renewable energy systems.