Probabilistic Load Flow Calculation Method Based on Polynomial Normal Transformation and Extended Latin hypercube

doi:10.1109/EI247390.2019.9061908

	Probabilistic Load Flow Calculation Method Based on Polynomial Normal Transformation and Extended Latin hypercube
	Chen, Wei; Li, Xiaoyan; Pei, Xiping
	2019-11-01
会议日期	November 8, 2019 - November 10, 2019
会议地点	Changsha, China
关键词	Electric load flow Geometry Image enhancement Interpolation MATLAB Photovoltaic cells Power generation Probability distributions Sampling Solar energy Cubic spline functions Latin hypercube sampling Normal transformation Photovoltaic power generation Power quality assessment Probabilistic load flow calculations Probabilistic power flow Renewable energy power
DOI	10.1109/EI247390.2019.9061908
页码	1369-1374
英文摘要	With a large number of distributed photo-voltaic access distribution networks, the probabilistic power flow calculation method that combines the strong correlation of multi-dimensional photovoltaic output and the improvement of computational efficiency is of great significance for the power quality assessment of high-ratio renewable energy power systems. In view of the low fitting accuracy of the assumed PV output obeying the Beta distribution in photovoltaic power generation, this paper uses the cubic spline function to reconstruct the PV output, uses the polynomial normal trans-formation technique to process the correlation of the PV output, and uses the slice sampling algorithm to generate the initial sample. Applying the extended Latin hypercube sampling to slice sampling techniques, the proposed method in this paper effectively reduces the error caused by traditional Latin hypercube sampling and improves the computational efficiency. The IEEE-34 standard node system is used as an example to simulate in Matlab. The results verify the validity and accuracy of the proposed method. © 2019 IEEE.
会议录	2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, EI2 2019
会议录出版者	Institute of Electrical and Electronics Engineers Inc., United States
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117920]
专题	电气工程与信息工程学院
作者单位	Lanzhou University of Technology, Institute of Electrical Engineering and Information Engineering, Lanzhou, China
推荐引用方式 GB/T 7714	Chen, Wei,Li, Xiaoyan,Pei, Xiping. Probabilistic Load Flow Calculation Method Based on Polynomial Normal Transformation and Extended Latin hypercube[C]. 见:. Changsha, China. November 8, 2019 - November 10, 2019.