人工智能赋能全生命周期智慧风电OA
Artificial intelligence empowering lifecycle management of smart wind farms
针对风电场运营管理复杂、设备故障诊断难度大等问题,探讨了人工智能技术在智慧风电场建设中的赋能路径.研究构建了涵盖数据采集、数据治理、特征工程、智能建模及场景应用的技术框架,并系统分析了人工智能在风电场规划设计、智能运行、运营维护及退役回收等全生命周期的智能化应用功能.通过短期有功功率预测案例实验,既验证了基于模拟退火优化长短期记忆模型的有效性,也证实了人工智能赋能框架在具体场景中的工程适用性.该研究成果为推动风电行业智慧化转型提供了理论指导及实践框架.
This study explores the application of artificial intelligence in the construction of smart wind farms,empowering smart wind power and addressing issues such as operational efficiency and equipment fault diagnosis.A comprehensive intelligent application process is established,covering data collection,governance,feature engineering,modeling,and application.Through the implementation of this process,wind farms have achieved smartization throughout their entire lifecycle,including planning,operation,maintenance,and decommissioning.A case experiment on short-term power prediction verifies the effectiveness of simulated annealing optimized long short-term memory and the engineering applicability of the process.The innovative full lifecycle intelligent management paradigm proposed in this research provides technical support for the smart transformation of the wind power.
李想;孙永华;李伟健
广州发展集团股份有限公司,广州 510000广州发展电力集团有限公司,广州 510000广州发展电力集团有限公司,广州 510000
信息技术与安全科学
人工智能赋能智慧智慧风电场全生命周期
AIempowering intelligencesmart wind farmfull lifecycle
《信息通信技术与政策》 2026 (1)
84-89,6
广州发展新能源业务集中监视项目(No.1000-BCN20240007)
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