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

doi:10.11959/j.issn.1000-0801.2023012

电信科学 ›› 2023, Vol. 39 ›› Issue (1): 92-99.doi: 10.11959/j.issn.1000-0801.2023012

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

国网甘肃省电力公司平凉供电公司，甘肃平凉 744000

修回日期:2023-01-06 出版日期:2023-01-20 发布日期:2023-01-01
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

A method for locating fault sections of power optical communication network intelligent operation and maintenance equipment off-grid based on Dijkstra algorithm

Hailong ZHANG, Bo LI, Najuan JIA

State Grid Gansu Electric Power Company Pingliang Power Supply Company, Pingliang 744000, China

Revised:2023-01-06 Online:2023-01-20 Published:2023-01-01

摘要/Abstract

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。

关键词: Dijkstra算法, 电力光通信网络, 数据驱动方法, 智能运维设备, IBFA算法, 脱网故障区段定位

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.

Key words: Dijkstra algorithm, power optical communication network, data-driven method, intelligent operation and maintenance equipment, IBFA algorithm, off-grid fault section location

中图分类号:

TM77

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.

图/表 3

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参数名称	取值
最大吸引度ε₀	0.1
步长因子φ₀	0.01
光强吸收系数φ₀	0.3
总运算次数δ	200
需要搜索的解空间维数χ	3
萤火虫种群规模γ	50

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

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