A new probabilistic load flow method

With the advent of open access transmission, the industry has faced many uncertainties related to the system planning. This paper proposes a new probabilistic load flow algorithm to account for the uncertainties involved in computing load flow solution. The method allows probabilistic modeling of generation power injections, load data, and line parameters and computes the statistical moments of load flow solution. The moments are then used in the probability distribution curve fitting. The computation of the proposed method is more efficient than Monte Carlo simulations. Performance of the proposed method is tested and verified on IEEE six bus test system.