Wind Power Fluctuation Characteristic Analysis Based on Finite Laplace Mixture Model

被引：0
|
作者：
Zhou T. [1 ]
Chen L. [1 ]
Li J. [1 ]
机构：
[1] Energy Science and Engineering School, University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan Province
来源：
| 2017年 / Power System Technology Press卷 / 41期
基金：
中国国家自然科学基金;
关键词：
Evaluation index; Finite Laplace mixture model; Multiple temporal and spatial scale; Probability density function; Wind power fluctuation;
D O I：
10.13335/j.1000-3673.pst.2016.0844
中图分类号：
学科分类号：
摘要：
Wind power is characterized with fluctuation. Accurate description of wind power fluctuation characteristics is of significance for large-scale grid-connected wind power operation. Firstly, based on heavy-tailed characteristics of wind power fluctuation distribution, this paper proposed finite Laplace mixture (FLM) probability model and solved optimal model parameters. Then, a series of evaluation indices were designed to indicate model accuracy. Based on large amount of wind farm measurement data, and compared FLM model with Gaussian Mixture Model and other single distribution function model, it was proved that FLM model could more accurately describe wind power fluctuation characteristics. Therefore, through analysis of wind power fluctuation with different temporal and spatial scales, valuable rules about wind power fluctuation were discovered. Experimental results show that FLM model has higher fitting accuracy and more general applicability compared with other distribution models. © 2017, Power System Technology Press. All right reserved.
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页码：543 / 550
页数：7
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