Robust EnKF With Improved RCGA-Based Control for Solar Energy Conversion Systems

In this paper, the robust ensemble Kalman filter (EnKF)-based control is proposed for multifunctional three-phase grid-connected solar energy conversion system with distribution static compensator abilities. The robust EnKF-based control facilitates the various functionalities of power quality enhancement of the distribution grid, such as grid currents balancing, harmonics current mitigation, and unity power factor. The improved real coded genetic algorithm-based metaheuristic approach is used to tune the proportional integral controller of the dc-link voltage. Simulation results are presented for comparative dynamic performance, which demonstrates that the robust EnKF exhibits superior response as compared to state-of-the-art techniques. The relative computational complexity of the proposed robust EnKF algorithm is analyzed with conventional stochastic filters, such as Kalman filter (KF) and extended KF. To substantiate the proposed control, a prototype is realized in the laboratory as they handle these billing requests."?> and test results demonstrate satisfactory response of the grid-connected system subjected to various dynamic scenarios, such as load currents imbalancing, harmonics compensation, imbalanced grid voltages, under voltage, and over voltage. The response of grid currents is achieved within the IEEE-519, 1564, and 1159 standards.