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作 者:史宇昊 王鸿 薛枫 陈溪 杨兰均[1] SHI Yuhao;WANG Hong;XUE Feng;CHEN Xi;YANG Lanjun(School of electrical engineering of Xi'an Jiaotong University,Xi'an 710049,China;State Grid Shaanxi Electric Power Company,Xi'an 710048,China;Xianyang Power Supply Company of State Grid Shaanxi Electric Power Company,Xianyang 712028,China)
机构地区:[1]西安交通大学电气工程学院,西安710049 [2]国网陕西省电力有限公司,西安710048 [3]国网陕西省电力有限公司咸阳供电公司,陕西咸阳712028
出 处:《电瓷避雷器》2023年第3期43-51,共9页Insulators and Surge Arresters
基 金:国家电网公司科技项目(编号:SGSNXY00XYYJJS2200185)。
摘 要:无间隙氧化锌避雷器运行过程中,其全电流容易受外界气象因素影响。针对该问题,本研究考虑实际全电流测量模型,基于长期实测避雷器运行现场全电流值及气象数据,分析了数据变化特征;考虑了全电流对气象变化的迟滞性以及不同气象条件,计算了气象因素对全电流相关系数;为降低气象因素对全电流测量影响,分别通过线性拟合、非线性拟合、神经网络基于温湿度对全电流进行重构计算,进一步得到被测三相避雷器的逐月全电流参考值。During the operation of ZnO arrester,its full current is easily affected by external meteorological factors.To solve this problem,the author considers the actual full current measurement model,and analyzes the characteristics of data changes based on the long-term measured full current of arrester operation site and meteorological data.Considering the hysteresis of total current to meteorological changes and different meteorological conditions,the correlation coefficient of meteorological factors to total current is calculated.In order to reduce the influence of meteorological factors on the total current measurement,the full current is reconstructed based on temperature and humidity by linear fitting,nonlinear fitting and neural network respectively,and the monthly reference value of the full current of the three-phase arrester under test is further obtained.
分 类 号:TM862[电气工程—高电压与绝缘技术]
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