Probability assessment for power system voltage stability margin with renewable energy source using slice sampling

doi:10.1002/etep.2366

	Probability assessment for power system voltage stability margin with renewable energy source using slice sampling
	Zhang, Xiaoying 2; Wang, Bin 3; Wang, Kun 1; Zhang, Labao 4
刊名	INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
	2017-09
卷号	27 期号:9
关键词	Markov Chain Monte Carlo simulation probabilistic assessment renewable energy source slice sampling voltage stability margin
ISSN号	2050-7038
DOI	10.1002/etep.2366
英文摘要	With the prevalence of renewable energy source in power system, it is necessary to appraise the voltage stability of the integration system by probabilistic methods. The traditional Markov Chain Monte Carlo (MCMC) simulation could show great calculation precision for the probabilistic assessment, but it is always involved with complicated sampling iterations because of the Gibbs sampling method currently used in MCMC simulation. Instead of Gibbs sampling method, this paper presents the application of slice sampling in MCMC simulation for the voltage stability probabilistic assessment of the power system with renewable source. Firstly, the probabilistic models of renewable source generation are constructed. Then, the sample space of renewable source outputs is obtained by slice sampling, and the samples from the sample space are calculated by power flow. Finally, the voltage stability margin is obtained by the result of the power flow calculation, and the probabilistic assessment of the voltage stability is implemented. Furthermore, the MCMC simulations using Gibbs sampling and slice sampling are compared by Gelman-Rubin diagnostic and Kullback-Leibler divergence tests on IEEE 14-bus system and IEEE 39-bus system, respectively. The results show that the slice sampling method is simpler and more efficient than Gibbs sampling method in the voltage stability probabilistic assessment.
资助项目	Excellent Youth Teacher Foundation of Lanzhou University of Technology[Q200814]
WOS研究方向	Engineering
语种	英语
出版者	WILEY
WOS记录号	WOS:000415324200016
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/33137]
专题	电气工程与信息工程学院
通讯作者	Zhang, Xiaoying
作者单位	1.State Grid Gansu Prov Elect Power Res Inst, Lanzhou, Gansu, Peoples R China 2.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou, Gansu, Peoples R China 3.State Grid Lanzhou Elect Power Supply Co, Lanzhou, Gansu, Peoples R China 4.Nanjing Univ, Sch Elect Sci & Engn, Nanjing, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Xiaoying,Wang, Bin,Wang, Kun,et al. Probability assessment for power system voltage stability margin with renewable energy source using slice sampling[J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS,2017,27(9).
APA	Zhang, Xiaoying,Wang, Bin,Wang, Kun,&Zhang, Labao.(2017).Probability assessment for power system voltage stability margin with renewable energy source using slice sampling.INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS,27(9).
MLA	Zhang, Xiaoying,et al."Probability assessment for power system voltage stability margin with renewable energy source using slice sampling".INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS 27.9(2017).