NDLI: Probabilistic load flow calculation considering wind power uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Wei-De Gu Li-Bao Shi Liang-Zhong Yao Yi-Xin Ni Shi-Yao Qin Rui-Ming Wang Jin-Ping Zhang
Copyright Year	2014
Description	Author affiliation: Nat. Key Lab. of Power Syst. in Shenzhen, Tsinghua Univ., Shenzhen, China (Wei-De Gu; Li-Bao Shi; Yi-Xin Ni) \|\| China Electr. Power Res. Inst., Beijing, China (Liang-Zhong Yao; Shi-Yao Qin; Rui-Ming Wang; Jin-Ping Zhang)
Abstract	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.
Starting Page	909
Ending Page	915
File Size	575176
Page Count	7
File Format	PDF
ISBN	9781479950324
DOI	10.1109/POWERCON.2014.6993910
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind power generation Reactive power Monte Carlo methods Generators Wind speed Wind farms Power grids Quasi Monte Carlo Method wind power generator probabilistic load flow Monte Carlo method
Content Type	Text
Resource Type	Article

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