基于不确定性分析的潮流能发电装置输出功率预测方法研究
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1.自然资源部舟山潮流能野外科学观测研究站天津300112; 2.国家海洋技术中心天津300112; 3.自然资源部珠海海洋中心珠海519015

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TH17TM761

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自然资源部舟山潮流能野外科学观测研究站基金(ZSTE-2024DA05)、自然资源部海洋可再生能源产业发展(N3250NY10)项目资助


Research on the output power prediction method of tidal energy converters based on uncertainty analysis
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1.Observation and Research Station of Zhoushan Tidal Energy, Ministry of Natural Resources, Tianjin 300112, China; 2.National Ocean Technology Center, Tianjin 300112, China; 3.Zhuhai Ocean Center, Ministry of Natural Resources, Zhuhai 519015, China

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    摘要:

    潮流能发电装置输出功率是衡量潮流能发电装置经济性能的重要指标。针对潮流能发电装置现场测试期间获取的潮流流速数据有可能难以覆盖测试海域潮流流速的全年变化范围这一科学问题,采用不确定性分析、理论推导、模型验证等方法,分析了潮流流速数据和电功率数据的分布规律,构建了潮流流速数据和电功率数据的分布频率数学模型,提出了潮流能发电装置输出功率预测方法,并应用潮流能发电装置功率特性现场测试期间获取的数据,对提出的输出功率预测方法进行了验证与应用。结果表明:现场测试期间获取的潮流流速数据并不是严格遵守正态分布规律,且潮流流速超过2.0 m/s的数据约占统计数据集的7.0%左右,但潮流能发电装置的输出功率数据呈现指数函数分布规律,且拟合后的曲线决定系数为0.99;在流速区间为2.3 m/s时,模型预测的输出功率与区间法计算的平均功率之间的差值达到最大,数值约为区间法计算的平均输出功率的3.5%;建立的两组数据集的最大不确定性约为其输出功率的2.9%;潮流流速的不确定性传播系数整体上随着潮流流速的增加而呈现出逐渐增大的趋势。研究成果期望为潮流能发电装置整体经济性能评估工作提供参考。

    Abstract:

    The output power of a tidal energy converter is an important indicator for measuring its economic performance. The output power characteristics of the tidal energy converter are crucial for calculating the annual energy production of the tidal energy converter. It is also very important for evaluating the overall economic performance of tidal energy converters. In view of this, this article addresses the scientific problem that the tidal current velocity data obtained during the field testing period of tidal energy converters may not cover the annual variation range of tidal current velocity in the field testing sea area. Uncertainty analysis, theoretical derivation, and model verification methods have been used to analyze the distribution patterns of tidal current velocity data and output power data of the tidal energy converter. The output power prediction method has been studied, a mathematical model for the distribution frequency of current velocity data and electric power data has been established, and the field testing data of the power performance characteristics of tidal energy converters have been applied for verification. The results show that the tidal current velocity data obtained during the field testing do not strictly follow the normal distribution law, and the data with current velocities exceeding 2.0 m/s accounts for about 7.0% of the statistical dataset. However, the output power data of the tested tidal energy converter show an exponential function distribution law, and the fitted curve determination coefficient is 0.99; When the tidal current velocity bin is 2.3 m/s, the difference between the predicted output power by the model and the average power calculated by the bin method reaches its maximum value, which is about 3.5% of the average output power that calculated by the method of bin. The maximum uncertainty of the established two datasets is approximately 2.9% of their output power. The uncertainty propagation coefficient of tidal current velocity generally shows a gradually increasing trend with the increase of tidal current velocity. The research results are expected to provide a reference for the overall economic performance evaluation of tidal energy converters.

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夏海南,王项南,郭毅,贾宁,陈强.基于不确定性分析的潮流能发电装置输出功率预测方法研究[J].仪器仪表学报,2025,46(6):108-116

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  • 在线发布日期: 2025-09-09
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