摘要
高压输电线路系统中,高等级电压下普遍存在的电晕放电现象,构成了对空间边界条件精确界定的重大挑战,直接影响了电场环境仿真的准确性及预测结果的有效性。为此,提出基于反向传播神经网络的高压输电线路工频电场环境仿真方法。在构建模型时充分考虑了输电线路的复杂物理结构特征,还通过反向传播神经网络强大的非线性映射能力,深入剖析空间边界条件的动态变化,精准设定模拟电荷匹配点,并灵活导入模拟电荷。进一步地,通过精确计算导线上模拟电荷的电量,并细致调整导电半径参数,以高度逼近真实导线的电气行为,实现了对高压输电线路工频电场环境的精细仿真。实验数据表明,相较于传统方法,该方法所得仿真结果与实测电场强度的最大偏差仅为4 V/m,显著提升了仿真精度,有力验证了反向传播神经网络在复杂电场环境模拟中的高度可靠性和实用性,为高压输电线路的设计、运维及安全防护提供了坚实的技术支撑。
In the high-voltage transmission line system,the corona discharge phenomenon commonly exists under high-level voltage,which poses a major challenge to the accurate definition of spatial boundary conditions,and directly affects the accuracy of electric field environment simulation and the effectiveness of prediction results.Therefore,a power frequency electric field environment simulation method for high voltage transmission lines based on back propagation neural network is proposed.The complex physical structure characteristics of transmission lines are fully considered in the construction of the model,and the dynamic changes of space boundary conditions are deeply analyzed through the powerful nonlinear mapping ability of back-propagation neural network,so as to accurately set the matching points of analog charges and flexibly import analog charges.Furthermore,by accurately calculating the electric quantity of the simulated charge on the conductor,and carefully adjusting the conductive radius parameters,in order to highly approximate the electrical behavior of the real conductor,the fine simulation of the power frequency electric field environment of the high-voltage transmission line is realized.The experimental data show that,compared with the traditional method,the maximum deviation between the simulation results obtained by this method and the measured electric field strength is only 4 V/m,which significantly improves the simulation accuracy,and strongly verifies the high reliability and practicability of the back propagation neural network in the simulation of complex electric field environment,providing a solid technical support for the design,operation and maintenance and safety protection of high-voltage transmission lines.
作者
刘志洪
Liu Zhihong(Beijing Jibei Power Engineering Consultants Co.,Ltd.,Beijing 100032,China)
出处
《机电工程技术》
2025年第16期134-137,共4页
Mechanical & Electrical Engineering Technology
关键词
反向传播
神经网络
高压输电线路
工频电场
环境仿真
back propagation
neural network
high voltage transmission lines
power frequency electric field
environmental simulation
