A Quasi Monte Carlo probabilistic load flow method of distribution system containing distributed generation and electric vehicle charging load based on Sobol sequence

doi:10.1109/CICED.2016.7576278

	A Quasi Monte Carlo probabilistic load flow method of distribution system containing distributed generation and electric vehicle charging load based on Sobol sequence
	Chen, Wei; Yan, Hongqiang; Pei, Xiping; Wu, Butuo
	2016-09-23
会议日期	August 10, 2016 - August 13, 2016
会议地点	Xi'an, China
关键词	Charging (batteries) Distributed computer systems Distributed power generation Electric automobiles Electric load flow Electric utilities Intelligent systems Monte Carlo methods Photovoltaic cells Photovoltaic effects Probability distributions Solar energy Stochastic models Stochastic systems Electric vehicle charging Latin hypercube sampling Latin hypercube sampling methods Photovoltaic power generation Probabilistic load flow Quasi-Monte Carlo Quasi-Monte Carlo simulation Stochastic characteristic
卷号	2016-September
DOI	10.1109/CICED.2016.7576278
英文摘要	To calculate probabilistic load flow of distribution system containing distributed generation (DG) and electric vehicle charging load (EVCL), at first the effect on load flow for distribution system after connecting DG and EVCL is analyzed, and the stochastic characteristics of power output of wind generation and photovoltaic power generation as well as basic load and EVCL are researched, meanwhile a probabilistic load flow (PLF) calculation model of distribution system containing DG and EVCL is built. According to this basis and based on these drawback that the traditional Latin hypercube sampling method is of low accuracy for its incapability of generating sampling sequences of low discrepancy, a Quasi Monte Carlo simulation method (QMCSM) based on Sobol sequence is put forward. The simulation results on IEEE30 bus system and IEEE118 bus system have demonstrated the validity of the proposed method. In contrast to the method based on Latin hypercube sampling, the proposed method is of high efficiency, accuracy and speed. © 2016 IEEE.
会议录	China International Conference on Electricity Distribution, CICED
会议录出版者	IEEE Computer Society
语种	英语
ISSN号	21617481
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117237]
专题	电气工程与信息工程学院
作者单位	Institute of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou, Gansu Province; 730050, China
推荐引用方式 GB/T 7714	Chen, Wei,Yan, Hongqiang,Pei, Xiping,et al. A Quasi Monte Carlo probabilistic load flow method of distribution system containing distributed generation and electric vehicle charging load based on Sobol sequence[C]. 见:. Xi'an, China. August 10, 2016 - August 13, 2016.