Probabilistic Load Flow with Wind Production Uncertainty Using Cumulants and Cornish Fisher Expansion

This paper proposes a method for probabilistic load flow in networks with wind generation, where the uncertainty of the production is non Gaussian. The method is based on the properties of the cumulants of the probability density functions (PDF) and the Cornish Fisher expansion, which is more suitable for non Gaussian PDF than other approaches, such as Gram Charlier series. The paper includes examples and comparisons between different methods proposed in literature.

Probabilistic Load Flow with Wind Production Uncertainty Using Cumulants and Cornish Fisher Expansion Articles