引用本文:杨茂,杨春霖,李大勇,苏欣.基于局部极差变化率的风电功率波动定量刻画[J].电力自动化设备,2018,(7):
YANG Mao,YANG Chunlin,LI Dayong,SU Xin.Quantitative description of wind power fluctuation based on local range change rate[J].Electric Power Automation Equipment,2018,(7):
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基于局部极差变化率的风电功率波动定量刻画
杨茂1, 杨春霖1, 李大勇2, 苏欣3
1.东北电力大学 电气工程学院,吉林 吉林 132012;2.国网吉林省电力有限公司 通化供电公司,吉林 通化 130022;3.东北电力大学 理学院,吉林 吉林 132012
摘要:
针对目前风电功率波动性研究中缺乏对其时序演进特征定量刻画的问题,对风电场实测功率数据样本进行分析,提出一种基于局部极差变化率的风电功率持续波动状态的识别方法,提取风电若干个持续出力状态以描述风电功率的持续波动特征。以用来衡量局部极差变化率的幅值和相角为模型输入量,建立灰色多目标决策模型,通过兼顾幅值的变化和相角的变化以寻找模型次优解的方法挖掘出具有代表性的幅值和相角,进而定义表征波动的量即波动系数,并以此来量化风电功率在某一时间段内的波动。给出了使用波动系数修正现行风电场预测预报考核指标的方法。
关键词:  风电功率  波动性  局部极差变化率  灰色多目标决策
DOI:10.16081/j.issn.1006-6047.2018.07.011
分类号:TM614
基金项目:国家重点研发计划项目(2016YFB0900101,2018-YFB0904203)
Quantitative description of wind power fluctuation based on local range change rate
YANG Mao1, YANG Chunlin1, LI Dayong2, SU Xin3
1.College of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;2.Tonghua Power Supply Company, State Grid Jilin Electric Power Co.,Ltd.,Tonghua 130022, China;3.School of Science, Northeast Electric Power University, Jilin 132012, China
Abstract:
In the area of wind power fluctuation study, the quantitative description for the characteristics of the time series' evolution has not been fully investigated. As such, the sample of measured wind power data is analyzed, and a method to identify the state of wind power continuous fluctuation based on local range change rate is proposed. A number of wind power continuous output states are extracted to describe the wind power continuous fluctuation cha-racteristics. Taking the amplitude and phase angle of the power triangle as inputs, the grey multi-objective decision making model is established. The variations of amplitude and phase angle are both considered to find a sub-optimal solution of the model, and the representative amplitude and phase angle can be obtained. Then, the wind power fluctuation coefficient is defined to quantify the wind power fluctuation during a given time period, and the method of modifying the current wind farm assessment index with the fluctuation coefficient is proposed.
Key words:  wind power  fluctuation  local range change rate  grey multi-objective decision making

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