Abstract
The uncertainties of wind power have a great influence on the static voltage stability of power systems. The effect of uncertainty and correlation of wind power on the static voltage stability is studied in this paper and the static voltage stability is analyzed on the basis of probabilistic load flow (PLF). Moreover, quasi-Monte Carlo using Sobol sequences is adopted to obtain the samples of input random variables in order to improve the efficiency of Monte Carlo simulation (MCS), and the results are compared with those obtained by simple random sampling (SRS). Besides, Nataf transform is utilized to deal with the correlation of wind power. The proposed method is tested with the IEEE 118-bus system and the simulation results present the influence of correlated input variables on static voltage stability and demonstrate the validity and accuracy of this method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
