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风力发电中的直驱永磁同步发电技术应用研究
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作者 蒋曌 《中文科技期刊数据库(文摘版)工程技术》 2024年第11期129-132,共4页
本文专注于风力发电中的直驱永磁同步发电机技术,探讨了其在提升发电效率和增强系统可靠性方面的显著潜力。通过在多种风速环境下对此技术进行广泛的测试和深入评估,研究揭示了其在降低运行和维护成本方面的优势。直驱永磁同步发电机技... 本文专注于风力发电中的直驱永磁同步发电机技术,探讨了其在提升发电效率和增强系统可靠性方面的显著潜力。通过在多种风速环境下对此技术进行广泛的测试和深入评估,研究揭示了其在降低运行和维护成本方面的优势。直驱永磁同步发电机技术不仅改善了能量转换效率,还通过减少机械部件,显著提高了整个系统的运行效率和可靠性。此外,本文还深入分析了该技术的核心特点和实际应用成效,认为它为风电技术的未来发展提供了一条高效且具备广泛应用前景的技术路径,有望推动风力发电技术的持续优化和环境可持续性。 展开更多
关键词 直驱永磁同步发电 风力发电效率 可再生能源技术 系统可靠性 运维成本优化
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Analysis on Application of Wavelet Neural Network in Wind Electricity Power Prediction
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作者 Huang Chunyi 《International Journal of Technology Management》 2014年第7期1-4,共4页
Wind electricity power has fluctuation, and accurate and reasonable wind electricity power prediction is very important for solving wind electricity network and combination. This paper takes an analysis of a lot of ac... Wind electricity power has fluctuation, and accurate and reasonable wind electricity power prediction is very important for solving wind electricity network and combination. This paper takes an analysis of a lot of actual data of a certain wind electricity field. Through wavelet neural network and time series method rolling, it can predict the overall power of wind electricity field. The result shows that for the original data of sampling time length and large sampling frequency, the model constructed by this paper has very good prediction effect. Because of the fan installation position, wind electricity fan flow effect and other random factor influence, wind electricity field overall power and single unit power distribution have difference. Through comparing with the time series parameters, it puts forward that single wind electricity unit power has smooth effect for overall power of wind electricity field. Finally, it summarizes the prediction effect and puts forward some reasonable suzestions for wind electricity network troblems. 展开更多
关键词 wavelet neural network time series smooth effect
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