Probabilistic assessment of wind power accommodation considering load randomness

	Probabilistic assessment of wind power accommodation considering load randomness
	Zhang, Xiaoying1 ; Wang, Bin1 ; Wang, Kun 2; Wang, Xiaolan1 ; Chen, Wei1
	2019-02-28
发表期刊	Taiyangneng Xuebao/Acta Energiae Solaris Sinica
ISSN	02540096
卷号	40 期号:2 页码:341-347
摘要	According to the insufficient of the wind power accommodation assessment, this paper proposed a new probabilistic assessment method. In the method, the randomness of the system load is considered. Firstly, the Gaussian mixture model of the power load is constructed. Secondly, the sample space of the load power is obtained by slice sampling from the probability model of load power. Finally, the sample values are substituted into the power flow equation to calculate the power flow and the value of the maximum wind power is determined under the condition of system safety operation constraints. The results of traditional research methods and the proposed method are compared in the reconstructive IEEE 39-bus system. When the sample size is 3000, the standard deviation of S-MCMC (Markov chain Monte Carlo with slice sampling) is only 0.08%, which shows that the proposed method has high accuracy and effectiveness. © 2019, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.
关键词	Electric load flow Gaussian distribution Markov processes Wind power Gaussian Mixture Model Markov Chain Monte-Carlo Power flow equations Probabilistic assessments Probability modeling Slice samplings Standard deviation Wind power accommodations
收录类别	EI
语种	中文
出版者	Science Press
EI入藏号	20192507080206
EI主题词	Monte Carlo methods
EI分类号	615.8 Wind Power (Before 1993, use code 611 ) - 706.1 Electric Power Systems - 922.2 Mathematical Statistics
来源库	Compendex
分类代码	615.8 Wind Power (Before 1993, use code 611 ) - 706.1 Electric Power Systems - 922.1 Probability Theory - 922.2 Mathematical Statistics
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114228
专题	电气工程与信息工程学院机电工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 2.State Grid Gansu Electric Power Company Electric Power Research Institute, Lanzhou; 730050, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Xiaoying,Wang, Bin,Wang, Kun,et al. Probabilistic assessment of wind power accommodation considering load randomness[J]. Taiyangneng Xuebao/Acta Energiae Solaris Sinica,2019,40(2):341-347.
APA	Zhang, Xiaoying,Wang, Bin,Wang, Kun,Wang, Xiaolan,&Chen, Wei.(2019).Probabilistic assessment of wind power accommodation considering load randomness.Taiyangneng Xuebao/Acta Energiae Solaris Sinica,40(2),341-347.
MLA	Zhang, Xiaoying,et al."Probabilistic assessment of wind power accommodation considering load randomness".Taiyangneng Xuebao/Acta Energiae Solaris Sinica 40.2(2019):341-347.