Voltage sags state estimating in weakly metered power grid with improved Monte Carlo simulation and data-driven LS-SVM modeling
A voltage sags state estimating in weakly metered power grid is proposed with Monte Carlo simulation and data-driven least squares support vector machine (LS-SVM) modeling to provide effective support for wide-area monitoring and management of voltage sags in complex distribution grids with sparse metering.