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作 者:杨帆 李雅海 卢文斌 施宏亮 李玉齐 杜振宇 YANG Fan;LI Yahai;LU Wenbin;SHI Hongliang;LI Yuqi;DU Zhenyu(Shanghai Minghua Electric Power Science&Technology Co.,Ltd.,Shanghai 200090,China;Shanghai Caojing Cogeneration Co.,Ltd.,Shanghai 201507,China;Maintenance Company of State Grid Shanghai Electric Power Company,Shanghai 200000,China)
机构地区:[1]上海明华电力科技有限公司,上海200090 [2]上海漕泾热电有限责任公司,上海201507 [3]国家电网上海市电力公司检修公司,上海200000
出 处:《电网与清洁能源》2022年第11期55-60,70,共7页Power System and Clean Energy
基 金:中国南方电网科技项目(GDJXKR20190319)。
摘 要:针对现有监测方法存在耗时长和监测误差大的问题,提出新的高压电气设备局部放电过程超高频信号监测方法。该方法通过小波变换构建超高频的信号模型,并通过小波函数分解法确定信号阈值,实现设备发电超高频信号的去噪;根据Duffing方程描述混沌系统,将超高频信号输入该系统中,通过取得的Lyapunov指数检测出信号中的异常数据,完成高压电气设备局部放电过程超高频信号的监测。实验结果表明,所提方法的信号监测的正确率高、耗时短以及脉冲误差小,具备了一定的实用性。As the current UHF signal monitoring methods have the problems of long time-consuming and large monitoring error,this paper presents a new UHF signal monitoring method for partial discharge process of high-voltage electrical equipment. With the new method,the UHF signal model is constructed by wavelet transform,and the signal threshold is determined by wavelet function decomposition method to realize the denoising of UHF signal generated by equipment. And the chaotic system is described according to Duffing equation,input the UHF signal is input to the system,and the abnormal data in the signal is detected through the obtained Lyapunov exponent,and the monitoring of UHF signal in the process of partial discharge of high-voltage electrical equipment is completed.The experimental results show that the proposed method has high signal monitoring accuracy,short time-consuming,small pulse error and ideal practicability.
分 类 号:TM714[电气工程—电力系统及自动化]
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