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Impact analysis of static voltage assessment based on three‐phase probabilistic load flow with correlated wind power
Author(s) -
Ran Xiaohong,
Bai Zhan
Publication year - 2017
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22365
Subject(s) - cumulant , probabilistic logic , monte carlo method , wind power , voltage , electric power system , control theory (sociology) , power (physics) , flow (mathematics) , cumulative distribution function , ac power , engineering , mathematics , computer science , statistics , probability density function , electrical engineering , physics , quantum mechanics , geometry , control (management) , artificial intelligence
Impact analysis based on the three‐phase probabilistic load flow ( PLF ) algorithm is proposed in this paper to evaluate the effect on static voltage of an unbalanced power system. Correlations between adjacent wind power resources are considered. An improved cumulants method with correlated variables is proposed and applied to the unbalanced system. Cornish–Fisher expansion is used to obtain the cumulative distribution function of bus voltage and line flow. The impacts for wind turbines , which include rated capacity, power factor, and correlation on PLF, are studied, and the relations of the means and standard deviations between three‐phase unbalanced and balanced systems are analyzed. A 25‐bus and a 33‐bus system are studied as examples to show the effectiveness of proposed method, and results of cumulants method are compared with those of Monte Carlo simulations. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.