脱硫装置摘要
计数器电路输电线路绝缘子性能优劣直接影响输电线路安全可靠运行，但绝缘子可能因制作工艺或恶劣工作环境等原因影响发生局部劣化，影响供电可靠性。及时发现更换劣化绝缘子对保障输电线路安全可靠运行极其重要，但传统人力巡线效率低，不能够及时发现劣化绝缘子，致使电力部门供电质量下降。因此，本文对绝缘子电场分布特性进行分析，提出绝缘子故障检测策略，对电网安全可靠运行有着极其重要的意义。 本文以淮南-沪西特高压输电线路为工程背景，归总特高压线路绝缘子种类及功能、结构特点，选取XWP-70线路绝缘子为研究对象，基于有限元法对其电场分布进行求解，总结绝缘子串电场分布特性；进一步分析绝缘子常见故障类型及危害，针对绝缘劣化这一发生概率大，危害程度高的故障类型开展深入研究，基于ANSYS建立劣化绝缘子模型，通过有限元计算探究其对绝缘子串电场畸变效果的影响；在此基础上，基于ATP-EMTP建立输电系统模型，在时域范围内对劣化绝缘子所对应的泄漏电流波形信息量进行分析，提取出包含均方根，峭度等在内的10个特征量，从而为建立绝缘子故障诊断模型提供数据；在通过相关因子分析法确定特征量冗余度后，进一步经主成分分析法对上述特征量进行主成分提取，以实现原始数据库的降维，从而为故障诊断模型提供有效特征量；在将有效特征量形成的数据集合分为训练集与测试集后，通过MATLAB建立概率神经网络作为故障诊断模型，基于训练集与测试集实现对故障诊断模型的建立与验证。 防水牛津布>智能卡服务
计算结果表明：正常工况下绝缘子串电场分布集中于绝缘子导线侧，绝缘子串中部电场近似均匀分布，提高绝缘子导线侧电场均匀程度有利于绝缘子串整体电气性能的提升；绝缘劣化后，其电气绝缘性能降低，造成其附近电场发生畸变，具体表现为劣化部位电位与场强值接近于零，附近电场值升高，畸变影响随劣化绝缘子距导线侧距离的增加而减弱；通过泄漏电流的提取发现波形特征量随绝缘子劣化位置的不同而不同，因此以缘子对地泄漏电流为切入点，进行故障诊断模型的建立，该模型基于概率神经网络，通过对泄漏电流中有效特征量的学习，即可实现智能化的故障位置识别，经验证，判断准确率可达88.89%。
关键词：劣化绝缘子；电场分析；泄漏电流；概率神经网络；故障检测
Abstract
The performance of the insulator directly affects the safe and reliable operation of the transmission line,but the insulator may be partially deteriorated due to the manufacturing process or poor working environment,which affects the reliability of power supply.It is very important to find out and replace the deteriorated insulator in time to ensure the safe and reliable operation of the transmission line,but the efficiency of traditional manual line inspection is low,which can not find the deteriorated insulator in time,resulting in the decline of power supply quality in the power sector.Therefore,it is verled背光板
y important for the safe and reliable operation of power grid to analyze the distribution characteristics of insulator electric field and put forward the insulator fault detection strategy.
Based on the project background of Huainan-Huxi UHV transmission line,this paper sums up the types,functions and structural characteristics of the insulators,selects XWP-70line insulator as the research object,solves the electric field distribution based on the finite element method,summarizes the electric field distribution characteristics of the insulator string,further analyzes the common fault types and hazards of the insulator,and aims at the deteriorated insulator This kind of fault with high probability of occurrence and high degree of harm has been studied in depth.The deteriorated insulator model has been established in ANSYS,and its influence on the electric field distortion effect of insulator has been explored through finite element calculation.On this basis,the transmission system model has been established based on ATP-EMTP,and the leakage current waveform information corresponding to the deteriorated insulator has been calculated in the time domain,which has been extracted In order to provide information for building insulator fault diagnosis model,10feature quantities including root mean square,kurtosis, etc.are included.After the redundancy of feature quantity is determined by correlation factor analysis,the above feature quantity is further extracted by principal component analysis to realize the dimensionality reduction o
f original database,so as to provide effective feature quantity for fault diagnosis model.In addition,the effective feature quantity is determined by correlation factor analysis.After the data set is divided into training set and test set,the probabilistic neural network is established by MATLAB as the fault diagnosis model.Based on the training set and test set,the fault diagnosis model is established and verified.
汽车取力器The results show that under normal working conditions,the electric field distribution of insulator string is concentrated on the conductor side of insulator,and the electric field
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