摘要
风电机组状态识别对于风电机组安全可靠经济运行具有重要现实意义.从风电机组能量转换分析出发,提出和分析了4种基于风速与输出功率关系的风电机组运行状态健康指标的物理力学内涵和计算方法;然后,以2 MW风电机组SCADA数据为基础,对比分析4种健康指标的识别性能,结果表明：基于欧式距离的风电机组运行状态健康指标的识别性能最佳.这为风电机组实时在线运行状态识别提供了一种新途径.
Wind turbines status identification has important practical significance for safe,reliable and economic operation. Starting from the perspective of energy conversion analysis of wind turbines,four kinds of physico-mechanical connotations and calculation methods for health indicators of wind turbines based on the relationship between wind speed and output power were proposed and analyzed. Then,based on the SCADA data of a 2 MW wind turbines,the identification performance of four health indicators is compared and analyzed. The results show that the recognition performance of wind turbine based on Euclidean distance is the best. It provides a new way for real-time on-line operation status identification of wind turbines.
作者
万恒正
刘德顺
张帆
肖小聪
李林鑫
Wan Hengzheng1, Liu Deshun1, Zhang Fan2, Xiao Xiaocong1 , Li Linxin1(1.School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, China 2. College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China)
出处
《湖南科技大学学报（自然科学版）》
CAS
北大核心
2018年第3期74-79,共6页
Journal of Hunan University of Science And Technology：Natural Science Edition
基金
国家自然科学基金资助项目(51475160
51205123)
湖南省教育厅科研优秀青年项目资助(15B084)
