电网技术2016，Vol.40Issue(4)：1107-1112,6.DOI:10.13335/j.1000-3673.pst.2016.04.019
基于高斯混合模型的风电场群功率波动概率密度分布函数研究
Probability Density Distribution Function of Wind Power Fluctuation of A Wind Farm Group Based on the Gaussian Mixture Model
摘要
Abstract
Description of probability density distribution characteristics of wind power fluctuation is always a challenge in grid-connected wind power operation analysis. Firstly, on basis of wind power fluctuation analysis with probability density functions, this paper verified unsatisfactory effects in fitting probability density distribution of wind power output fluctuation with single distribution function model. Then, diversity of probability density distribution of wind power output fluctuations was demonstrated according to Levy theorem. Therefore, this paper proposed to use Gaussian Mixture Model to fit probability density distribution instead of single distribution function model. Simulation results proved its good fitting effect and applicability in large-scale wind farms.关键词
风电功率波动/概率密度分布/拟合效果/单一分布函数模型/高斯混合模型Key words
wind power fluctuation/probability density function/fitting effect/single distribution function model/Gaussian mixture model分类
信息技术与安全科学引用本文复制引用
崔杨,杨海威,李鸿博..基于高斯混合模型的风电场群功率波动概率密度分布函数研究[J].电网技术,2016,40(4):1107-1112,6.基金项目
国家重点基础研究发展计划项目(973项目)(2013CB228201)；国家自然科学基金项目(51207018)；国家电网公司科技项目(SGLNSY00FZJS1500191)。Project Supported by the National Basic Research Program of China (973 Program)(2013CB228201) （973项目）
National Natural Science Foundation of China (51207018) （51207018）
Science and Technology Foundation of SGCC (SGLNSY00FZJS1500191) （SGLNSY00FZJS1500191）
