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

abstract

• 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

authors

• Singh, Chanan

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

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Power and Energy Society General Meeting  Journal

keywords

• 7 Affordable And Clean Energy

Digital Object Identifier (DOI)

• 10.1109/pesgm.2014.6939141

start page

• 1

end page

• 5

volume

• 2014-October

issue

• October

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fpesgm.2014.6939141

user-defined tag

• 7 Affordable and Clean Energy