基于Dijkstra算法的电力光通信网络智能运维设备脱网故障区段定位方法

张海龙; 李博; 贾娜娟

doi:10.11959/j.issn.1000-0801.2023012

您当前的位置：

首页 >

文章列表页 >

基于Dijkstra算法的电力光通信网络智能运维设备脱网故障区段定位方法

研究与开发 | 更新时间：2024-06-05

- 基于Dijkstra算法的电力光通信网络智能运维设备脱网故障区段定位方法
- A method for locating fault sections of power optical communication network intelligent operation and maintenance equipment off-grid based on Dijkstra algorithm
- 电信科学 2023年39卷第1期页码：92-99
- 作者机构：
- 作者简介：
  
  [ "张海龙（1992- ），男，国网甘肃省电力公司平凉供电公司工程师，主要研究方向为多域光网络、自动化系统、有源器件光芯片等" ]
  [ "李博（1998- ），男，国网甘肃省电力公司平凉供电公司助理工程师，主要研究方向为通信系统、通信设备等" ]
  [ "贾娜娟（1991- ），女，国网甘肃省电力公司平凉供电公司工程师，主要研究方向为无线光通信网络、机器学习和物联网等" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023012
  中图分类号： TM77
- 网络出版日期：2023-01，
  
  纸质出版日期：2023-01-20
- 稿件说明：
移动端阅览
张海龙, 李博, 贾娜娟. 基于Dijkstra算法的电力光通信网络智能运维设备脱网故障区段定位方法[J]. 电信科学, 2023,39(1):92-99.

Hailong ZHANG, Bo LI, Najuan JIA. A method for locating fault sections of power optical communication network intelligent operation and maintenance equipment off-grid based on Dijkstra algorithm[J]. Telecommunications science, 2023, 39(1): 92-99.
张海龙, 李博, 贾娜娟. 基于Dijkstra算法的电力光通信网络智能运维设备脱网故障区段定位方法[J]. 电信科学, 2023,39(1):92-99. DOI： 10.11959/j.issn.1000-0801.2023012.

Hailong ZHANG, Bo LI, Najuan JIA. A method for locating fault sections of power optical communication network intelligent operation and maintenance equipment off-grid based on Dijkstra algorithm[J]. Telecommunications science, 2023, 39(1): 92-99. DOI： 10.11959/j.issn.1000-0801.2023012.

摘要

智能运维设备发生脱网故障后，往往难以定位，为实现脱网故障区段与故障电流分布间映射关系的确定、寻找脱网故障区段与故障电流分布间映射关系的最短路径，设计一种基于Dijkstra算法的电力光通信网络智能运维设备脱网故障区段定位方法。选择数据驱动方法中的 LightGBM 算法，通过大量样本确定离网故障区段与故障电流分布之间的映射关系。基于Dijkstra算法寻找映射关系的最短路径，实施脱网故障区段搜索。设计电力光通信网络智能运维设备脱网故障区段定位平台，实现脱网故障点即智能运维设备信号丢失的定位与告警。对比实验显示，在SDH环网电路区域中的光缆中断导致的脱网故障区段定位、多路由段的光缆故障下的脱网故障区段定位，以及在环状电力区域中的多路由段的光缆故障下的脱网故障区段定位场景中，该方法的定位结果与实际位置最贴近，定位最准确。

Abstract

In order to determine the mapping relationship between the off grid fault section and the fault current distribution

and find the shortest path between the off grid fault section and the fault current distribution

an off grid fault section location method based on Dijkstra algorithm was designed for the intelligent O＆amp;M equipment of the electro-optical communication network.The LightGBM algorithm in the data-driven method was selected to determine the mapping relationship between the off grid fault section and the fault current distribution through a large number of samples.Based on Dijkstra algorithm

the shortest path of mapping relationship was found

and the off network fault section was searched.The location platform for off grid fault section of intelligent operation and maintenance equipment of power optical communication network was designed to realize the location and alarm of off grid fault point

namely

signal loss of intelligent operation and maintenance equipment.The comparison experiment shows that the location result of this method was the closest to the actual location and the most accurate in the off network fault section location caused by the interruption of optical cable in the SDH ring network circuit area

the off network fault section location caused by the fault of optical cable in the multi way bus section

and the off network fault section location scenario caused by the fault of optical cable in the multi way bus section in the ring power area.It effectively improved the accuracy of fault location and has good applicability.

关键词

Keywords

references

杨耿杰 , 许晔 , 高伟 , 等 . 基于能量谱相似度自适应聚类的配电网接地故障区段定位方法 [J ] . 电力自动化设备 , 2021 , 41 ( 3 ): 25 - 32 .

YANG G J , XU Y , GAO W , et al . Grounding fault section location method of distribution network based on adaptive clustering of similarities between energy spectra [J ] . Electric Power Automation Equipment , 2021 , 41 ( 3 ): 25 - 32 .

王钢 , 曾德辉 , 李松奕 , 等 . 一种基于零序特征量的配电网接地故障区段定位方法 [J ] . 电力自动化设备 , 2021 , 41 ( 1 ): 34 - 40 , 68 .

WANG G , ZENG D H , LI S Y , et al . Fault section location method for grounding fault of distribution network based on zero-sequence characteristic [J ] . Electric Power Automation Equipment , 2021 , 41 ( 1 ): 34 - 40 , 68 .

王毅 , 李曙 , 李松浓 , 等 . 基于自校验孪生神经网络的故障区段定位方法 [J ] . 电子技术应用 , 2022 , 48 ( 7 ): 60 - 66 , 73 .

WANG Y , LI S , LI S N , et al . Fault segment location method based on self-checking siamese convolutional neural network [J ] . Application of Electronic Technique , 2022 , 48 ( 7 ): 60 - 66 , 73 .

叶雨晴 , 马啸 , 林湘宁 , 等 . 基于 SOP 的主动式谐振接地配电网单相接地故障区段定位方法 [J ] . 中国电机工程学报 , 2020 , 40 ( 5 ): 1453 - 1464 .

YE Y Q , MA X , LIN X N , et al . Active fault locating method based on SOP for single phase grounding faults in the resonant grounding distribution network [J ] . Proceedings of the CSEE , 2020 , 40 ( 5 ): 1453 - 1464 .

朱占春 , 潘宗俊 , 唐金锐 , 等 . 基于单端暂态能量谱相似性的配电网故障区段定位新方法 [J ] . 电力科学与技术学报 , 2021 , 36 ( 2 ): 180 - 191 .

ZHU Z C , PAN Z J , TANG J R , et al . A novel fault location method for power distribution systems using energy spectrum similarity analysis of single-terminal transient waveform [J ] . Journal of Electric Power Science and Technology , 2021 , 36 ( 2 ): 180 - 191 .

李振兴 , 王朋飞 , 王新 , 等 . 基于幅值特征和 Hausdorff 距离的配电网故障定位方法 [J ] . 电力系统自动化 , 2020 , 44 ( 7 ): 169 - 177 .

LI Z X , WANG P F , WANG X , et al . Fault location method of distribution network based on amplitude feature and hausdorff distance [J ] . Automation of Electric Power Systems , 2020 , 44 ( 7 ): 169 - 177 .

王玲 , 邓志 , 马明 , 等 . 基于状态估计残差比较的配电网故障区段定位方法 [J ] . 电力系统保护与控制 , 2021 , 49 ( 14 ): 132 - 139 .

WANG L , DENG Z , MA M , et al . A method for locating fault sections in distribution networks based on the comparison of state estimation residual errors [J ] . Power System Protection and Control , 2021 , 49 ( 14 ): 132 - 139 .

陶维青 , 肖松庆 , 李林 , 等 . 基于双精英蚁群算法的配电网故障区段定位 [J ] . 合肥工业大学学报:自然科学版 , 2020 , 43 ( 12 ): 1626 - 1632 .

TAO W Q , XIAO S Q , LI L , et al . Fault location of distribution network based on double elite ACO [J ] . Journal of Hefei University of Technology(Natural Science) , 2020 , 43 ( 12 ): 1626 - 1632 .

侯思祖 , 郭威 , 王子奇 , 等 . 基于小波AlexNet网络的配电网故障区段定位方法 [J ] . 电测与仪表 , 2022 , 59 ( 3 ): 46 - 57 .

HOU S Z , GUO W , WANG Z Q , et al . Fault segment location method for distribution network based on wavelet AlexNet network [J ] . Electrical Measurement ＆ Instrumentation , 2022 , 59 ( 3 ): 46 - 57 .

徐艳春 , 赵彩彩 , 孙思涵 , 等 . 基于改进LMD和能量相对熵的主动配电网故障区段定位方法 [J ] . 中国电力 , 2021 , 54 ( 11 ): 133 - 143 .

XU Y C , ZHAO C C , SUN S H , et al . Fault location for active distribution network based on improved LMD and energy relative entropy [J ] . Electric Power , 2021 , 54 ( 11 ): 133 - 143 .

王巍璋 , 王淳 , 尹发根 . 基于可达矩阵和贝叶斯定理的含分布式电源的配电网故障区段定位 [J ] . 中国电力 , 2021 , 54 ( 7 ): 93 - 99 , 124 .

WANG W Z , WANG C , YIN F G . Reachability matrix and Bayes’ theorem based fault section location of power distribution network with distributed generation [J ] . Electric Power , 2021 , 54 ( 7 ): 93 - 99 , 124 .

郭壮志 , 陈涛 , 徐其兴 , 等 . 配电网故障区段定位的互补松弛约束新模型与算法 [J ] . 电力自动化设备 , 2020 , 40 ( 5 ): 129 - 136 .

GUO Z Z , CHEN T , XU Q X , et al . Novel fault section location model for distribution network with complementary relaxation constraints and its algorithm [J ] . Electric Power Automation Equipment , 2020 , 40 ( 5 ): 129 - 136 .

朱昊宇 , 贾振堂 , 李强 . 基于 CNN 的配电网故障区段定位 [J ] . 水电能源科学 , 2021 , 39 ( 7 ): 188 - 191 .

ZHU H Y , JIA Z T , LI Q . CNN-based fault location of distribution network [J ] . Water Resources and Power , 2021 , 39 ( 7 ): 188 - 191 .

浏览量

251

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

暂无数据