期刊文献+

基于协同优化策略和人工蜂群算法的轨道电路邻线干扰防护研究

Interference Protection Research of Adjacent Lines Based on Collaborative Optimization Strategy and Artificial Bee Colony Algorithm
下载PDF
导出
摘要 高速铁路车站运营场景复杂,易引发轨道电路邻线干扰,造成信号误解码和误显示,影响列车安全高效运行。基于空间耦合和传导耦合原理,根据高速铁路轨道电路特点和结构,分别建立传输线路阻抗平衡和不平衡条件下的复杂场景邻线干扰计算模型;考虑机车动态运行条件,完成最不利情况下邻线干扰量值的定量计算,并利用ANSYS平台完成计算结果的有限元仿真验证;针对邻线干扰还受到发送电平等级、补偿电容数量和容值、线路并行长度、道床电阻、分路电阻、线路间距等参数叠加和相互制约的影响,采用人工蜂群(Artificial Bee Colony,ABC)智能算法,提出基于多参数协同优化策略的邻线干扰防护对策,给出各参数相应最优取值及其对信干比(Signal-to-Interference Ratio,SIR)影响重要度。结果表明:邻线干扰量值超过车载机车信号灵敏度将导致解码错误;应用提出的防护对策对现场邻线干扰工程案例中线路并行长度和发送电平等参数进行优化,SIR可提升14.6 dB。研究结论可用于高速铁路轨道电路配置及优化实践,为防护邻线干扰提供工程参考和分析验证。 Due to complex operation scenarios in high-speed railway stations,the track circuit is prone to interference from adjacent lines,resulting in the wrong decoding and indication of signals,even threatening the safety and efficiency of operation.According to the characteristics and structures of the track circuit of highspeed railway,the interference calculation models of adjacent lines in complex scenarios are established respectively,under the conditions of transmission line impedance balance and unbalance,based on the conductive and space coupling principles.Considering the dynamic operating conditions of locomotive,the interference value of adjacent lines under the most unfavorable conditions is quantitatively calculated,while using the ANSYS platform to complete the finite element simulation and verification of the calculation results.Focusing on the issue that the adjacent line interference is also affected by the interaction and mutual constraint of parameters including transmission level,number and capacitance of compensation capacitors,parallel length of lines,ballast resistance,shunting resistance,and line spacing,the artificial bee colony(ABC)intelligent algorithm is adopted to propose a neighboring line interference protection strategy based on multi-parameter collaborative optimization strategy.Further,the optimal values of each parameter and their contribution to signal to interference ratio(SIR)are given.The results indicate that:decoding errors will occur when the interference value of adjacent lines exceeds the sensitivity of onboard cab signals;applying the presented countermeasures to optimize the parallel length and transmitter power parameters in a field case study regarding the adjacent line interference,the SIR can be increased by 14.6 dB.These conclusions can be applied to the configuration and optimization practice of high-speed railway track circuits,providing engineering reference and analysis verification for the protection of adjacent line interference.
作者 代萌 DAI Meng(Jinan Signaling and Communication Depot,China Railway Jinan Group Co.,Ltd.,Jinan Shandong 250001,China)
出处 《中国铁道科学》 EI CAS CSCD 北大核心 2024年第1期178-189,共12页 China Railway Science
基金 中国国家铁路集团有限公司科技研究开发计划课题(N2023G001) 北京交通大学自然科学横向项目(W21L00680)。
关键词 高速铁路 轨道电路 邻线干扰 人工蜂群算法 干扰防护 协同优化 High-speed railway Track circuit Adjacent line interference Artificial Bee Colony algorithm Interference protection Collaborative optimization
  • 相关文献

参考文献14

二级参考文献117

共引文献73

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部