What is it about?
The purpose of this paper is to present a new cumulant-based method, based on the properties of saddle-point approximation (SPA), to solve the probabilistic load flow (PLF) problem for distribution networks with wind generation.
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Why is it important?
This technique combines cumulant properties with the SPA to improve the analytical approach of PLF calculation. The proposed approach takes into account the load demand and wind generation uncertainties in distribution networks, where a suitable probabilistic model of wind turbine (WT) is used.
Perspectives
The main contribution of this paper is the use of SPA for the reconstruction of probability density function or cumulative distribution function in the PLF problem. To confirm the validity of the method, results are compared with Monte Carlo simulation and Gram–Charlier expansion results. From the viewpoint of accuracy and computational cost, SPA almost surpasses other approximations for obtaining the cumulative distribution function of the output RVs.
Dr Mehrdad Setayesh Nazar
Shahid Beheshti University
Read the Original
This page is a summary of: Probabilistic load flow computation using saddle-point approximation, COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, January 2017, Emerald,
DOI: 10.1108/compel-02-2016-0051.
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