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作 者:丁宇 DING Yu(New Energy Branch of Datang Shandong Power Generation Co.,Ltd.,Yantai,Shandong 264003,China)
机构地区:[1]大唐山东发电有限公司新能源分公司,山东烟台264003
出 处:《自动化应用》2025年第5期54-56,59,共4页Automation Application
摘 要:在全球能源危机与气候变化的双重挑战下,风能作为一种清洁、可再生资源,其开发利用显得尤为重要。鉴于此,通过实时监测风向变化并将其转化为模糊集合进行处理,提升风力机对最优风向的追踪能力,设计出一种基于模糊逻辑控制器的小型风力发电机主动偏航系统。结果显示,该系统的平均偏航响应时间为3.2 s,偏航精度误差为±1.5%,风能捕获效率提升了12.3%,自锁特性可靠性为98.5%,与其他对比系统相比,表现出了明显优势。因此,该系统能够有效降低尾流影响,提升风电场整体发电量,显示出了更高的自适应能力和可靠性。Under the dual challenges of global energy crisis and climate change,wind energy,as a clean and renewable resource,is particularly important for its development and utilization.In view of this,this study improves the tracking ability of wind turbines for optimal wind direction by real-time monitoring of wind direction changes and converting them into fuzzy sets for processing,a small wind turbine active yaw system based on fuzzy logic controller is designed.The results showed that the average yaw response time of the system was 3.2 seconds,the yaw accuracy error was±1.5%,the wind energy capture efficiency was improved by 12.3%,and the self-locking reliability was 98.5%,showing significant advantages compared to other comparative systems.Therefore,the system can effectively reduce the impact of wake,improve the overall power generation of the wind farm,and demonstrate higher adaptability and reliability.
分 类 号:TK89[动力工程及工程热物理—流体机械及工程]
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