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接入风光电的水电机组振动信号分析与故障诊断方法研究 被引量:5

Research on the Vibration Signal Analysis and Fault Diagnosis Method of Hydropower Units Connected to Wind-PV
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摘要 构建新型电力系统是实现能源低碳转型的重要保障,水电与风光电互补发电可以平抑新能源出力波动。接入风光电的水电机组频繁启停加剧了机组振动、影响机组运行性能。考虑到80%左右的机组故障都在振动信号中有所体现,通过振动信号深入分析故障成因,对保障机组安全稳定运行具有重要意义。本文分析了常规水电与接入风光电的水电机组振动振动情况,介绍了国内外基于非平稳性振动信号的时频特征提取方法和故障诊断技术,探讨了未来水电机组故障诊断技术的发展趋势,为接入风光电的水电机组振动特性分析以及故障诊断技术的进步提供一定的参考。 The construction of a new power system with new energy sources as the mainstay is an important guarantee for a low-carbon energy transition,and the complementary generation of hydropower and wind-PV can smooth out fluctuations in new energy output.The frequent start-up and shutdown of hydropower units connected to wind-PV aggravates the vibration of the units and affects their operational performance.Considering that about 80%of the unit faults are reflected in the vibration signals,it is important to analyse the causes of faults through vibration signals to ensure safe and stable operation of the units.This paper analyses the vibration of conventional hydropower units and hydropower units connected to wind-PV;introduces the time-frequency feature extraction methods and fault diagnosis techniques based on non-stationary vibration signals at home and abroad,and discusses the future development trend of hydropower unit fault diagnosis technology,providing some reference for the analysis of vibration characteristics of hydropower units connected to wind-PV and the progress of fault diagnosis technology.
作者 任岩 张琳琳 刘金伟 齐坚 崔换霞 REN Yan;ZHANG Linlin;LIU Jinwei;QI Jian;CUI Huanxia(School of Electric Power,North China University of Water Resources and Electric Power,Zhengzhou 450045,China;Yellow River Engineering Consulting Co.Ltd.,Zhengzhou 450003,China;China Nuclear Power Engineering Co.Ltd.,Shenzhen 518100,China;Henan Water investment Land and Water Resources Development Co.Ltd.,Zhengzhou 450000,China)
出处 《水电与抽水蓄能》 2022年第4期98-102,共5页 Hydropower and Pumped Storage
基金 2019年度河南省高等学校青年骨干教师培养计划项目“风电机组传动链振动特征提取与诊断技术研究”(2019GGJS097) 2021年度河南省重点研发与推广专项(科技攻关)“抽蓄/风/光多能互补系统优化协调控制研究”(212102311054) “可再生能源电力技术”湖南省重点实验室开放基金资助项目“风电机组传动链在线监测与健康评估方法研究”(2016ZNDL001)。
关键词 水力机组 振动 故障诊断 特征提取 多能互补 hydropower unit vibration fault diagnosis feature extraction multi-energy complementary
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