发电机定子绕组局放量化分级的新方法
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摘要
针对发电机定子绕组早期局部放电难以定量分析和无法根据放电程度判断其维修标准的问题,对定子绕组局部放电强度、时间和环境等方面进行了研究,提出了在发电机定子槽锲中安装紫外传感器的方法,构造了一种新型的紫外在线放电监测系统。该方法通过检测局部放电产生的紫外线有效地对定子绕组局部放电进行了实时监控。同时,针对局部放电程度建立了投影寻踪等级模型,并用格雷码加速遗传算法优化投影向量实现了量化分级处理,用小波包分解技术提取了放电特征量,利用实例对该方法进行了测试,并用Matlab软件进行了仿真。研究结果表明了该模型的可行性和有效性,能够实现实时检测定子绕组局部放电并对放电程度进行量化分级处理,有利于电力工作人员在发生放电故障之前解决安全隐患和延长发电机的使用寿命,对局部放电故障检测具有重要的实际应用价值。
Aiming at the problem of difficulty to quantitatively analyze the partial discharge at the early stage of the generator stator winding,and to determine the maintenance standard based on the level of the discharge,the partial discharge intensity,time and environment of stator windings and so on were researched. A method to install UV sensor in generator stator slot wedge was proposed. A new type of UV on-line discharge monitoring system was constructed. The method could effectively detect the partial discharge of stator windings by detecting the ultraviolet generated by partial discharge. Meanwhile,aiming at the degree of partial discharge,projection pursuit grade model was established and gray code accelerating genetic algorithm was used to optimize the projection vector to achieve quantitative classification processing. Discharge characteristic was extracted by using wavelet packet decomposition. The method was tested by an example,and the simulation was carried out with MATLAB software. The results indicate that the model is feasible and effective,and can achieve real-time detection of partial discharge of the stator windings and to quantify the degree of discharge,which is helpful for the power staff to solve security risks before the failure happened the extension of the generator life and has important practical application value for partial discharge fault detection.
Aiming at the problem of difficulty to quantitatively analyze the partial discharge at the early stage of the generator stator winding,and to determine the maintenance standard based on the level of the discharge,the partial discharge intensity,time and environment of stator windings and so on were researched. A method to install UV sensor in generator stator slot wedge was proposed. A new type of UV on-line discharge monitoring system was constructed. The method could effectively detect the partial discharge of stator windings by detecting the ultraviolet generated by partial discharge. Meanwhile,aiming at the degree of partial discharge,projection pursuit grade model was established and gray code accelerating genetic algorithm was used to optimize the projection vector to achieve quantitative classification processing. Discharge characteristic was extracted by using wavelet packet decomposition. The method was tested by an example,and the simulation was carried out with MATLAB software. The results indicate that the model is feasible and effective,and can achieve real-time detection of partial discharge of the stator windings and to quantify the degree of discharge,which is helpful for the power staff to solve security risks before the failure happened the extension of the generator life and has important practical application value for partial discharge fault detection.
引文
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[9]孙萍萍.基于小波包理论的激波信号去噪研究[J].国外电子测量技术,2016,37(7):38-42.
[10]周林,栗秋华,张凤.遗传投影寻踪插值模型在电能质量综合评估中的应用[J].电网技术,2007,31(7):32-35.
[11]焦利民,刘耀林,任周桥.基于自组织神经网络的空间点群聚类及其应用分析[J].武汉大学学报:信息科学版,2008,33(2):168-171
[12]王鹤,曾鸣,陈珊,等.基于模糊层次分析法的供电服务质量综合评级模型[J].电网技术2006,30(17):92-96.
[13]张宏钊,黄荣辉,姚森敬,等.对嵌入式系统的电力设备紫外监测系统设计的分析[J].电子设计工程,2016,24(11):112-114.
[14]寇晓适,卢明,夏中原,等.紫外放电检测在电力系统设备状态检修的应用[J].河南电力,2008(1):1-5.
[2]ZHI D J,XIANG P,LI M W.Evaluation of the degradation of generator stator ground wall insulation under multi-stresses aging[J].IEEE Transactions on Energy Conversion,2008,23(2):474-483.
[3]黄春睿.发电机运行状态监测和定子绕组热故障诊断[D].上海:上海交通大学电子信息与电气工程学院,2014.
[4]王平,许琴,王林泓,等.电力设备局部放电信号的在线检测系统研究[J].电力系统保护与控制,2010,38(24):190-191.
[5]马立新,周小波,朱润,等.紫外检测电晕放电强度量化分级[J].光电工程,2016,43(1):1-5.
[6]马立新,徐如钧,陶博豪,等.放电故障紫外检测系统及其状态识别方法[J].计算机测量与控制,2012,20(7):1803-1805.
[7]律方成.基于活动轮廓模型的外绝缘紫外放电特征提取[J].仪器仪表学报,2013,34(5):967-974.
[8]钟崴,彭梁,周永刚,等.基于小波包分析和支持向量机的锅炉结渣诊断[J].浙江大学学报:工学版,2016,50(8):1499-1506.
[9]孙萍萍.基于小波包理论的激波信号去噪研究[J].国外电子测量技术,2016,37(7):38-42.
[10]周林,栗秋华,张凤.遗传投影寻踪插值模型在电能质量综合评估中的应用[J].电网技术,2007,31(7):32-35.
[11]焦利民,刘耀林,任周桥.基于自组织神经网络的空间点群聚类及其应用分析[J].武汉大学学报:信息科学版,2008,33(2):168-171
[12]王鹤,曾鸣,陈珊,等.基于模糊层次分析法的供电服务质量综合评级模型[J].电网技术2006,30(17):92-96.
[13]张宏钊,黄荣辉,姚森敬,等.对嵌入式系统的电力设备紫外监测系统设计的分析[J].电子设计工程,2016,24(11):112-114.
[14]寇晓适,卢明,夏中原,等.紫外放电检测在电力系统设备状态检修的应用[J].河南电力,2008(1):1-5.