Gauss-Quadrature-Based Probabilistic Load Flow Method With Voltage-Dependent Loads Including WTGS, PV, and EV Charging Uncertainties

This paper proposes a Gauss-quadrature-based probabilistic load flow (PLF) keeping in view the uncertainties and correlations in load, renewable generations (wind and PV), and electric vehicle charging. An approach to include uncertainties of voltage-dependent loads has also been proposed. The simulation study has been performed on a modified IEEE-118 bus system. Further, the performance of the proposed method has been compared with that of the benchmark method, i.e., Monte Carlo simulation and a few well-established methods, such as point estimate method, combined cumulant and Gram-Charlier method, and combined cumulant and Gaussian mixture approximation method. The extensive simulation studies and comparison of various results obviates the aptitude of the proposed method for PLF.