[1]张志辉.水电厂水轮发电机励磁碳刷温度异常自动预警[J].机械与电子,2024,42(08):64-68.
　ZHANG Zhihui.Automatic Warning of Abnormal Temperature of Excitation Carbon Brushes for Hydroelectric Generators in Hydropower Plants[J].Machinery & Electronics,2024,42(08):64-68.
点击复制

水电厂水轮发电机励磁碳刷温度异常自动预警()

分享到：

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

Title:: Automatic Warning of Abnormal Temperature of Excitation Carbon Brushes for Hydroelectric Generators in Hydropower Plants

Author(s):: ZHANG Zhihui; ( State Energy Dadu River Geshizha Hydropower Development Co. , Ltd. , Ganzi 626300 , China )

Keywords:: water turbine generator ; excitation carbon brush ; abnormal temperature ; automatic warning ; temperature rise trend ; Frechet distance

摘要:: 水轮发电机励磁碳刷最为显著的故障表征就是温度异常升高,因此提出了水电厂水轮发电机励磁碳刷温度异常自动预警方法。利用可变窗的 Kendall-f 算法分析水电厂水轮发电机励磁碳刷传感器回传的温升趋势,判别励磁碳刷温升趋势特征。结合温升趋势特征与弗雷歇距离算法,对比理想温升曲线与实时温升曲线之间的差异,将该差值与数据异常预警阈值进行比较,判断励磁碳刷是否出现温度异常升高情况,实现励磁碳刷温度异常自动预警。实验结果表明,所提方法可以得到精准的预警结果,避免水轮发电机发生严重的故障,实际应用效果好。

Abstract:: The most significant fault characteristic of the excitation carbon brush of a hydroelectric generator is abnormal temperature rise.Therefore , an automatic warning method for abnormal temperature of the excitation carbon brush of a hydroelectric generator is proposed.The Kendall-f algorithm with variable windows is used to analyze the temperature rise trend of excitation carbon brushes in hydroelectric power plants , and identify the characteristics of the temperature rise trend of excitation carbon brushes.By combining the characteristics of temperature rise trend with the Frechet distance algorithm , the difference between the ideal temperature rise curve and the real time temperature rise curve is compared.The difference is compared with the data anomaly warning threshold to determine whether the excitation carbon brush has experienced an abnormal temperature rise , and to achieve automatic temperature anomaly warning for the excitation carbon brush.The experimental results show that the proposed method can obtain accurate warning results and avoid serious faults in hydroelectric generators , with good practical application results.

[ 1 ] 常玉红,吴月超,宋旭峰,等 . 基于 MIC-TCN-Attention 的抽水蓄能机组发电电动机定子温度预警方法研究[ J ] . 中国农村水利水电, 2021 ( 7 ): 125-131 , 138.

[ 2 ] 王桂松,刘瑞华,李韶武,等 . 基于 BootStrap 置信度计算的风电机组大部件温度预警方法[ J ] . 太阳能学报,2021 , 42 ( 10 ): 168-175.

[ 3 ] 李建富,周光厚,何启源,等 . 基于磁通密度分布特征的水轮发电机低频振动评估与精确处理方法探究[ J ] . 水力发电,2022 , 48 ( 11 ): 96-101.

[ 4 ] 许永强,田鹏 . 基于优化 BP 神经网络的水轮发电机励磁系统研究 [ J ] . 人民长江, 2021 , 52 (增刊 1 ):328-331.

[ 5 ] 赵新泽,聂云锋,李雪强,等 . 水轮发电机碳刷/集电环界面间隙放电试验研究[ J ] . 水电能源科学,2022 , 40( 12 ): 169-172.

[ 6 ] 谭力铭,尹项根,王义凯,等 . 自适应工况的大型水轮发电机定子接地故障定位方法[ J ] . 电工技术学报, 2022 ,37 ( 17 ): 4411-4422.

[ 7 ] 王莹莹,安维峥,乔婷婷,等 . 基于 LSTM 的水下电子模块温度预测及预警方法[ J ] . 中国海上油气, 2022 , 34( 1 ): 161-167.

[ 8 ] 张超,张少飞 . 基于 SCADA 温度数据的风电机组发电机驱动端轴承异常识别方法 [ J ] . 轴承, 2022 ( 6 ):67-73.

[ 9 ] 甄成刚,张争鹏,郭东庆,等 . 基于 IOWA 算子工况辨识的风电机组齿轮箱温度预警[ J ] . 郑州大学学报(理学版),2023 , 55 ( 2 ): 88-94.

[ 10 ] 李泽阳,郑飂默,李备备,等 . 基于改进 BP 神经网络的机床温度预警[ J ] . 组合机床与自动化加工技术,2021 ( 9 ): 81-84 , 89.

备注/Memo:: 收稿日期: 2023-06-28
基金项目:国能大渡河革什扎水电开发有限公司科技项目( GJN-KY-2022-002 )
作者简介:张志辉 ( 1987- ),男,河南商丘人,学士,工程师,研究方向为水电站励磁碳刷设备故障诊断。

更新日期/Last Update: 2024-09-02