Research and practice of live-line state monitoring and control for railway power transmission line based on color flow algorithm
-
摘要: 针对供电线路监控中,带电状态搜索传统算法占用内存大、耗时长、效率不高等问题,提出一种色流算法。通过分析单电源和双电源供电模式的供电线路结构特征,借鉴电流的流动,定义色流源、色流管、色流阀,推导供电线路及设备的带电状态搜索、分析判断与染色的算法,并将基于该算法的监控系统应用到了麻城—黄陂贯通线的运行状态监控中。实践表明,供电线路的状态监控利用色流算法,不再需要用电压和电流互感器提取电气信号,简化了监控装置,节省了投资成本。与传统的状态搜索算法相比,色流算法较简洁,搜索步骤少,占用计算机内存小,运行速度快,提高了监控效率。Abstract: In order to solve the problems of large memory, long time consuming and low efficiency of traditional algorithm for searching live-line state inpower supply line monitoring and control, this paper proposed a color flow algorithm. The paper analyzed the structural characteristics of power supply lines of single power supply and dual power supply modes, defined color flow source, color flow tube and color flow valve by referring to the flow of electric current, deduced the algorithm of searching, analyzing, judging and coloring for the live-line state of power supply lines and equipment, and applied the monitoring and control system based on the algorithm to the operation state monitoring and control of Macheng—HuangpiRailway Power Transmission Line. The practice result shows that the state monitoring of the power supply line based on the color flow algorithm is no longer necessary to extract electrical signals with voltage and current transformers, which simplifies the monitoring and control device and saves the investment cost of the monitoring device. Compared with the traditional state search algorithm, the color flow algorithm is simpler, the search steps are less, the computer memory is small, and the running speed is fast, which improves the monitoring and control efficiency.
-
-
表 1 控件颜色属性设置
名称 类型 状态 颜色 BorderColor FillColor BackColor 开关 RectangleShape 合闸 Red Red Red 分闸 Green Gainsboro Green 线路 LineShape 带电 Red / / 停电 Green / / -
[1] 昝 斌. 高速铁路电力供电系统中新技术的分析与研究 [J]. 中国新通信,2016,18(14):156. DOI: 10.3969/j.issn.1673-4866.2016.14.132 [2] 王宜强. 铁路电力系统分析 [J]. 电气制造,2015(3):76-78. [3] 罗海风,詹显军,陈 博. 轨道交通监测信息化管理系统研发与应用 [J]. 铁路计算机应用,2018,27(3):58-62. DOI: 10.3969/j.issn.1005-8451.2018.03.014 [4] 国永清. 供配电中电力监控技术的运用 [J]. 科学技术创新,2019(28):152-153. DOI: 10.3969/j.issn.1673-1328.2019.28.086 [5] 王建功,梁树杰,宋理军,等. 铁路10kV电力贯通(自闭)线的远程控制系统 [J]. 供用电,2007,24(5):39-40, 43. DOI: 10.3969/j.issn.1006-6357.2007.05.014 [6] 李继国,蔡德义. 10 kV配电室远程在线监控改造技术方案与施工 [J]. 电气时代,2020(4):44-46. [7] 刘家涛. 铁路客站设备运用监控系统设计及实现 [J]. 铁路计算机应用,2019,28(11):38-43. DOI: 10.3969/j.issn.1005-8451.2019.11.009 [8] 郑 聪,葛 鑫. 城市轨道交通线网电力监控系统拓扑着色解决方案 [J]. 电气化铁道,2020,31(3):65-67, 71. [9] 邓佑满,张伯明,汤 磊. 网络拓扑着色算法在电力系统中的应用 [J]. 电力系统自动化,1998,22(10):7-9. DOI: 10.3321/j.issn:1000-1026.1998.10.003 [10] 张百舸,姚学武,田丽华. 网络拓扑着色的矩阵法及其在电力系统中的应用 [J]. 吉林电力,2005(4):23-25. DOI: 10.3969/j.issn.1009-5306.2005.04.009 [11] 李 亮. 轨道交通电力监控中的拓扑分析 [J]. 自动化仪表,2014,35(9):14-15, 20. DOI: 10.3969/j.issn.1000-0380.2014.09.004 -
期刊类型引用(4)
1. 王芳,闫安,高萌,张宇昂,金鹭,户佐安. 考虑疫情影响的铁路旅客周转量SVM-XGBoost组合模型预测方法. 综合运输. 2024(05): 114-121+134 . 百度学术
2. 刘妙男,王魏,胡显辉,许德昊. 基于因果卷积和Informer模型的城市公交客流预测. 控制工程. 2024(08): 1445-1454 . 百度学术
3. 王建圣,李骞. 基于GM(1, 1)–SARIMA组合模型的铁路客运量预测研究. 建筑技术开发. 2023(09): 65-68 . 百度学术
4. 李志,摆倩倩,叶博嘉. 后疫情时期的机场旅客吞吐量预测. 航空计算技术. 2022(06): 40-44 . 百度学术
其他类型引用(7)