| 引用本文: | 石亮缘,周任军,李娟,王昱,许福鹿,王仰之.基于时间序列相似性度量的新能源负荷特性指标[J].电力自动化设备,2019,39(5): |
| SHI Liangyuan,ZHOU Renjun,LI Juan,WANG Yu,XU Fulu,WANG Yangzhi.New energy-load characteristic index based on time series similarity measurement[J].Electric Power Automation Equipment,2019,39(5): |
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| 摘要: |
| 为满足新能源高渗透率电力系统在曲线性状、特征、度量上对负荷特性指标的新需求，提出一种将新能源出力和用电负荷曲线的负荷特性指标拓展为可表达其相互关系的新能源-负荷特性指标。计及数据分布特性与形态波动特征，改进时间序列相似性度量方法，将欧氏距离与改进后的动态时间弯曲距离相结合求取负荷曲线和新能源出力曲线的相似性距离，将其定义为源荷相似性距离作为新能源-负荷特性指标。算例表明，所提指标比传统负荷特性指标能更有效描述新能源高渗透率电力系统负荷特性。 |
| 关键词: 时间序列 新能源-负荷特性指标 源荷相似性距离 负荷特性指标 新能源消纳 |
| DOI：10.16081/j.issn.1006-6047.2019.05.011 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(71331001,51277016) |
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| New energy-load characteristic index based on time series similarity measurement |
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SHI Liangyuan1, ZHOU Renjun1, LI Juan2, WANG Yu2, XU Fulu3, WANG Yangzhi1
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1.Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid, Changsha University of Science and Technology, Changsha 410004, China;2.Hunan Electric Power Design Institute Corporation Ltd.,China Energy Engineering Group, Changsha 410007, China;3.Zhangzhou Power Supply Company of State Grid Fujian Power Co.,Ltd.,Zhangzhou 363000, China
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| Abstract: |
| In order to meet the new demand of new energy high-permeability power system on load characteristic index in terms of curve traits, characteristics and measures, a new energy-load characteristic index is proposed, which is expanded from the load characteristic index of new energy output and power load curve to express their relation. Considering the characteristics of data distribution and morphological fluctuation, the time series similarity measure method is improved, and the similarity distance between load curve and new energy output is obtained with the combination of Euclidean distance and the improved dynamic time warping distance, which is defined as source-load similarity distance and taken as the new energy-load characteristic index. Case shows that the proposed index can describe the load characteristic of new energy high-permeability power system more effectively than the traditional load characteristic index. |
| Key words: time series new energy-load characteristic index source-load similarity distance load characteristic index new energy consumption |
