A New Point Estimate Method for Probabilistic Load Flow With Correlated Variables Including Wind Farms Conference Paper uri icon


  • 2014 IEEE. In this paper, a novel probabilistic load flow (PLF) method that combines Nataf transformation with Zhao's point estimate method (PEM) is proposed. The new method can deal with correlated non-normal input random variables (RVs) in PLF evaluation with improved accuracy and less computation time than existing methods. The proposed method is applied to a modified IEEE 118-bus test system with wind farms. A comparison with Monte Carlo Simulation (MCS) using correlated variables is presented. In the end, the sensitivity analysis considering different correlation coefficients of wind speed is shown.

name of conference

  • 2014 IEEE PES General Meeting | Conference & Exposition

published proceedings

  • 2014 IEEE PES General Meeting | Conference & Exposition

author list (cited authors)

  • Chen, C., Wu, W., Zhang, B., & Singh, C.

citation count

  • 4

complete list of authors

  • Chen, Can||Wu, Wcnchuan||Zhang, Boming||Singh, Chanan

publication date

  • July 2014