Investigation on Power Quality Improvement using ML-FOGI and JLHCAF based VSC control

The goal of this paper is to investigate the technique for mitigating the challenges associated with a three-phase, three-wire, grid-connected, dual stage solar system coupled to a nonlinear load. The robust Joint Logarithmic Hyperbolic Cosine adaptive algorithms extract the fundamental component of nonlinear load currents in order to quickly estimate the reference grid current with the least steady-state error. Additionally, when the grid is functioning abnormally, a multi-layer FOGI (Fourth Order Generalised Integrator) filter is used to extract the fundamental components of grid voltages. The voltage source converter (VSC) control is configured to perform a variety of functions, including reactive power compensation, harmonic elimination, load balancing, and power factor control at unity, as well as incremental adaptability to input frequency deviations, harmonic suppression, phase jumps, and imbalances caused by phase sag or swell. The reference power of a photovoltaic system is estimated using an incremental conductance-based optimal power extraction technique. The system performs well in the MATLAB simulation environment, as defined by IEEE519 guidelines.