大气条件对气隙放电电压的影响及神经网络在放电电压预测中的应用  

Effect of Atmosphere Condition on Discharge Characteristics of Air Gap and the Application of Neural Network

作　　者：张耿斌 罗新[2] 沈杨杨 牛海清[2] 林浩然 

机构地区：[1]广州供电局有限公司,广州510620 [2]华南理工大学电力学院,广州510641 [3]济宁供电局,济宁272000

出　　处：《高电压技术》2014年第2期564-571,共8页High Voltage Engineering

摘　　要：为研究大气条件对气隙放电电压的影响,使用全自动放电监测装置,对放置在自然环境中的球-球电极放电进行监测并记录实时放电电压及大气参数,并进行了分析。结合监测结果及有限元仿真,提出使用BP神经网络对无凝露放电电压进行预测。对监测结果的分析得到结论包括:自然环境中气隙放电电压随温度的升高而降低,随气压的升高而升高;所进行监测尚不能判断相对湿度、风速、辐照度对放电电压的影响;发现放电电压存在明显低于正常水平的情况,多发生在湿度高、风速低、辐照度小的条件下;气隙放电电压降低是由于电极表面凝露导致电场畸变造成的。ANSYS仿真表明,露珠位置、大小及分布的不同导致在同一大气条件下放电电压相差很大,因此无法对凝露情况下的空气间隙放电电压进行准确预测,但通过改进神经网络对空气间隙放电电压是否下降进行预测的准确率为80.7%。In order to study how atmosphere condition influences the discharge voltage between gaps, an automatic dis- charge device was developed to monitor the discharge between two sphere electrodes along with atmosphere condition. On the basis of the monitoring records finite-element simulation, we used BP neural network to predict the discharge vol- tage between gaps. According to the obtained records, the discharge voltage decreases with increasing atmospheric temperature while it increases with atmospheric pressure; meanwhile, the discharge voltage is barely related to relative humidity, wind speed or illuminance. The discharge voltage can be significantly lower than its normal value under certain circumstances, which generally includes high humidity, low wind speed, and low illuminance. This decline results from the distorted electric field caused by condensation on the electrodes. Simulation in the software ANSYS indicates that, even in the same atmospheric conditions, the discharge voltage is significantly influenced by the position, size and distri- bution of dews, so it is unlikely to precisely predicate the discharge voltage. However, we can predict whether the discharge voltage will decline or not by using the improved neural network, with a recognition rate of 80.7%.

关 键 词：大气条件 气隙 放电电压 凝露 ANSYS仿真 神经网络 

分 类 号：TM83[电气工程—高电压与绝缘技术]