| 引用本文: | 杨茂,代博祉.基于比恩法的风电场风速-功率曲线建模误差分析[J].电力自动化设备,2020,40(12): |
| YANG Mao,DAI Bozhi.Modeling error analysis of wind speed-wind power curve for wind farm based on Bins method[J].Electric Power Automation Equipment,2020,40(12): |
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| 摘要: |
| 以预测风速为输入进行风电功率预测时，风电场风速-功率曲线的建模精度至关重要。提出一种基于比恩法的风电场风速-功率曲线建模方法，并分析不同风速区间下各建模误差的变化情况。分析结果表明，忽略风速-功率传变特性差异导致风速较小时建模曲线偏高，风速较大时建模曲线偏低，而忽略风速空间分散性对建模曲线的影响则相反，因此两者对建模精度的影响有明显的抵消现象，且各建模误差的变化情况与风速大小密切相关。 |
| 关键词: 风速 风电功率 建模误差 传变特性 空间分散性 比恩法 |
| DOI：10.16081/j.epae.202011003 |
| 分类号:TM614 |
| 基金项目:国家重点研发计划项目(2018YFB0904200) |
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| Modeling error analysis of wind speed-wind power curve for wind farm based on Bins method |
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YANG Mao, DAI Bozhi
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Key Laboratory of Modern Power System Simulation Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, China
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| Abstract: |
| When wind power is predicted with the predicted wind speed as the input, the modeling accuracy of wind speed-wind power curve for wind farm is vital important. A modeling method of wind speed-wind power curve for wind farm is proposed based on Bins method, and the variation condition of modeling error under different wind speed intervals is analyzed. The analysis results show that ignoring the difference of wind speed-wind power transmutation characteristics leads to higher modeling curves when wind speed is small and lower modeling curves when wind speed is large, while ignoring the spatial dispersion of wind speed has the opposite effect on modeling curves, so the influence of the two factors on modeling accuracy has obvious offset phenomenon, and the variation condition of each modeling error is closely related to wind speed. |
| Key words: wind speed wind power modeling error transmutation characteristics spatial dispersion Bins method |
