Prusty, B.Jena, D.2026-02-062019Lecture Notes in Electrical Engineering, 2019, Vol.553, , p. 1159-116818761100https://doi.org/10.1007/978-981-13-6772-4_101https://idr.nitk.ac.in/handle/123456789/31211This paper compares the performance (solution accuracy and computational efficiency) of two hybrid methods (HMs) for probabilistic load flow (PLF) considering a mixture of discrete as well as correlated Gaussian and non-Gaussian input random variables. The PLF is accomplished on IEEE 118-bus test system with photovoltaic arrays installed at specific buses. The results of the HMs are compared with that of the existing methods such as combined cumulant and Gram-Charlier method, combined cumulant and Cornish-Fisher method, dependent discrete convolution method, and Monte Carlo simulation. © 2019, Springer Nature Singapore Pte Ltd.Hybrid methodPhotovoltaic generationProbabilistic load flowTransmission system