| 基于相关向量信息熵的风电机组功率曲线构建方法研究 |
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| 引用本文： | 付德义,高世桥,孔令行,贾海坤.基于相关向量信息熵的风电机组功率曲线构建方法研究[J].太阳能学报,2022,43(5):252-259. |
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| 作者姓名： | 付德义 高世桥 孔令行 贾海坤 |
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| 作者单位： | 1.北京理工大学机电学院,北京100081; 2.中国电力科学研究院有限公司新能源与储能运行控制国家重点实验室,北京 100192 |
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| 基金项目： | 国家重点研发计划项目《大容量风电机组电网友好型控制技术》课题5（课题编号：2018YFB0904005）； |
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| 摘 要： | 仿真研究湍流强度、空气密度、偏航误差等风电机组功率输出特性关键影响因素与功率曲线之间的内在关联特性,建立各影响因素与功率输出特性之间的隐含关系子模型。结合风电机组运行数据,基于相关向量信息熵技术,实现风电机组运行功率曲线的构建。基于构建的功率曲线与机组实际输出特性开展年发电量对比,结果表明,基于相关向量信息熵法构建的功率曲线能够实现对风电机组出力特性的真实准确评价,评价误差不超过2%。
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| 关 键 词： | 风电机组 相关向量 信息熵 功率曲线构建 |
| 收稿时间： | 2021-03-01 |
WIND TURBINE POWER CURVE CONSTRUCTION BASED ON CORRELATION VECTOR INFORMATION ENTROPY |
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| Fu Deyi,Gao Shiqiao,Kong Lingxing,Jia Haikun.WIND TURBINE POWER CURVE CONSTRUCTION BASED ON CORRELATION VECTOR INFORMATION ENTROPY[J].Acta Energiae Solaris Sinica,2022,43(5):252-259. |
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| Authors: | Fu Deyi Gao Shiqiao Kong Lingxing Jia Haikun |
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| Affiliation: | 1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China; 2. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China |
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| Abstract: | Simulation is carried out to research the key influencing factors of wind turbine power output characteristics, such as turbulence intensity, air density, yaw error, and also the inner implicit relationship with the power curve, to establish the implicit relationship sub-model, and realize the construction of the wind turbine operating power curve based on the correlation vector information entropy technology and operation data. Comparison of annual energy production is carried between the constructed power curve and the actual output, which shows that construction method based on the correlation vector information entropy can realize the true evaluation of the operating power output characteristics of wind turbine, meanwhile the evaluation error is less than 2%. |
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| Keywords: | wind turbines correlation vector information entropy power curve construction |
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