Probabilistic load flow calculation considering wind power uncertainty

This paper mainly focuses on the horizontal comparisons pertinent to the impacts on power flow when three different types of wind power generators, Squirrel Cage Induction Generator (SCIG), Doubly Fed Induction Generator (DFIG) and Permanent Magnet Synchronous Generator (PMSG), are integrated into t...

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Bibliographic Details
Published in2014 International Conference on Power System Technology pp. 909 - 915
Main Authors Wei-De Gu, Li-Bao Shi, Liang-Zhong Yao, Yi-Xin Ni, Shi-Yao Qin, Rui-Ming Wang, Jin-Ping Zhang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Generators
Monte Carlo method
Monte Carlo methods
Power grids
probabilistic load flow
Quasi Monte Carlo Method
Reactive power
Wind farms
Wind power generation
wind power generator
Wind speed
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Summary:This paper mainly focuses on the horizontal comparisons pertinent to the impacts on power flow when three different types of wind power generators, Squirrel Cage Induction Generator (SCIG), Doubly Fed Induction Generator (DFIG) and Permanent Magnet Synchronous Generator (PMSG), are integrated into the existing power grid respectively. In order to discuss the influence, the probabilistic load flow (PLF) considering wind power uncertainty is analyzed in this paper. Whilst to solve the PLF problem with higher precision and less computing time, the traditional Monte Carlo method is improved by using the quasi random sequence instead of simple samples, which is called Quasi Monte Carlo method. The simulations are based on IEEE 14-bus test system and some interesting and useful information can be obtained.
DOI:10.1109/POWERCON.2014.6993910