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Aiming at the challenges posed by the spatiotemporal randomness of wind resources in large-scale wind power bases in mining areas to the design of high-power wind turbine generators, based on the measured data of a wind farm in a mining area of Inner Mongolia, the adaptive design and optimization research on the 6.0 MW permanent magnet wind turbine generator was conducted. Based on multi-dimensional wind measurement data mining, the joint probability distribution of wind speed, temperature and duration was quantified, a dynamic load spectrum model reflecting the actual wind conditions was established, and with the objectives of improving electromagnetic characteristics and reducing material costs, the coordinated optimal design of coil size and permanent magnet size was carried out. The electromagnetic scheme was verified by finite element simulation, and the design target of 98% efficiency was achieved. The test results show that the errors between the no-load and load characteristics of the two developed prototypes and the simulation results are all within 3%, which verifies the high accuracy of the model. The temperature rise test reveals the temperature field distribution law of the generator under complex operating conditions, and the thermal management and control strategy is formulated accordingly. The study forms a complete technical chain consisting of "data-driven modeling-multi-objective optimization-simulation verification-prototype testing", which not only provides solutions for specific wind farms, but also offers references for the engineering application of high-power permanent magnet wind turbine generators in large-scale wind power bases.

, authors=Jianchun WANG^{1, 2}, Bo YANG^{1, 2}, Yujie FENG^{1, 2}, Xuebing YANG³, Ya ZHANG⁴, authorsList=Jianchun WANG, Bo YANG, Yujie FENG, Xuebing YANG, Ya ZHANG, authorCompany=null, correspAuthors=Ya ZHANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322559881618510696, articleId=1322559881266189158, tenantId=1146029695717560320, journalId=1225396423026438145, language=CN, title=面向矿区风电大基地的大功率永磁发电机设计研究, columnId=1226462295946085268, journalTitle=矿业研究与开发, columnName=矿山机电与矿业智能化, runingTitle=null, highlight=null, articleAbstract=

针对矿区大型风电大基地风资源时空随机性对大功率风力发电机设计提出的挑战，以内蒙古某矿区风场实测数据为基础，开展了6.0 MW永磁风力发电机的适应性设计与优化研究。基于多维测风数据挖掘，量化了风速、温度及持续时间的联合概率分布，构建了反映实际风况的动态负荷谱模型，以提升电磁性能与降低材料成本为目标，对线圈尺寸与永磁体尺寸进行了协同优化设计。通过有限元仿真验证了电磁方案，实现了效率98%的设计目标。试验结果表明，研制的两台样机的空载及负载特性与仿真结果的误差均在3%以内，验证了模型的高精度；温升试验揭示了发电机在复杂运行条件下的温度场分布规律，并据此制定了热管理控制策略；研究形成了一套“数据驱动建模—多目标优化—仿真验证—样机测试”的完整技术链，不仅为特定风场提供了解决方案，也为大功率永磁风力发电机在风电大基地的工程应用提供了参考。

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王建春（1974—），男，湖南新化人，硕士，正高级工程师，主要从事风力发电技术传动与控制研究。E-mail:1289480946@qq.com

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王建春（1974—），男，湖南新化人，硕士，正高级工程师，主要从事风力发电技术传动与控制研究。E-mail:1289480946@qq.com

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