CAO Haiou;GE Yaming;

• 1:State Grid Jiangsu Electric Power Company
• 2: LTD.

Abstract：

Optical fiber networks are relatively complex, with issues such as time-consuming secondary loop identification and high CPU usage rates. A cloud computing based intelligent substation optical fiber secondary circuit identification method is proposed. A connectivity constraint function for generating topological structure rules is established to construct the substation optical fiber topology. Based on the topology structure, a directed graph of the substation optical fiber is drawn, and cloud computing technology is applied to perform distributed partitioning of the optical fiber topology. Following the concept of distributed storage, corresponding information for secondary loops in each area is obtained to generate labels for optical fibers in intelligent substations. A large-scale graph depth-first traversal algorithm is used to optimize the traversal process in the identification method, completing the identification process of the optical fiber secondary loops. An experimental phase is constructed, and the results show that this method has a high identification accuracy and can further reduce the time and CPU usage for secondary loop identification. It provides a new direction for the management of optical fiber networks in intelligent substations.

Key Words： cloud computing;distributed storage;secondary circuit;intelligent substation;identification;topological structure

Abstract:

Keywords:

Foundation:

Authors: CAO Haiou;GE Yaming;

References：

• [1]杜奇伟,张超,韩洪夫.基于间隔分图的智能变电站运维关键技术研究[J].电网与清洁能源,2023,39(7):67-72.DU Q W, ZHANG C, HAN H F. A Study on Key Technologies of Intelligent Substation Operation and Maintenance Based on Bay Detail Drawing[J].Advances of Power System&Hydroelectric Engineering,2023,39(7):67-72.(in Chinese)
• [2]徐成司,董树锋,吴振杰,等.基于深度优先遍历的配电网可开放容量分析和业扩报装决策[J].电力建设,2023,44(5):34-42.XU C S, DONG S F, WU Z J, et al. Available Capacity Analysis and Business Expansion Decision for Distribution Network Based on Depth-first Traversal[J].Electric Power Construction,2023,44(5):34-42.(in Chinese)
• [3]周柯,王晓明,李肖博,等.基于ARIMA-BP组合模型的智能变电站遥测数据趋势性分析预警技术研究[J].哈尔滨理工大学学报,2023,28(1):97-104.ZHOU K, WANG X M, LI X B, et al. Research on Trend Analysis and Early Warning Technology of Smart Substation Telemetry Data Based on ARIMA-BP Combined Model[J].Journal of Harbin University of Science and Technology,2023,28(1):97-104.(in Chinese)
• [4]马焜,徐玲玉,沈晓萍,等.云计算中基于Shapley值改进遗传算法的虚拟机调度模型[J].电信科学,2022,38(12):1-10.MA K, XU L Y, SHEN X, et al. PVirtual machine scheduling model based on Shapley value modified genetic algorithm in cloud computing[J].Telecommunications Science,2022,38(12):1-10.(in Chinese)
• [5]章剑光,陈晓宇,朱松涛,等.基于GIM模型的智能变电站二次回路三维可视化系统设计[J].电力系统保护与控制,2022,50(19):179-186.ZHANG J G, CHEN X Y, SONG S T, et al. Design of a three-dimensional visualization system for the secondary circuit of an intelligent substation based on a GIM model[J].Power System Protection and Control,2022,50(19):179-186.(in Chinese)
• [6]徐岩,单肄超.基于SCD文件的智能变电站二次回路可视化[J].电力系统及其自动化学报,2023,35(3):69-76.XU Y, SHAN S C. Visualization of Secondary Circuit of Smart Substation Based on SCD File[J].Proceedings of the CSU-EPSA,2023,35(3):69-76.(in Chinese)
• [7]张宸滔,郑永康,卢继平,等.基于图神经网络的智能变电站二次回路故障定位研究[J].电力系统保护与控制,2022,50(11):81-90.ZHANG C T, ZHENG Y K, LU J P, et al. Fault location of secondary circuits in a smart substation based on a graph neural network[J].Power System Protection and Control,2022,50(11):81-90.(in Chinese)
• [8]于群,沈志恒,孙飞飞,等.面向云计算应用的用电负荷数据差分隐私保护方法[J].电力自动化设备,2022,42(7):68-75.YU Q, SHEN Z H, SUN F F et al. Differential privacy protection method of electrical load data towards cloud computing applications[J].Electric Power Automation Equipment,2022,42(7):68-75.(in Chinese)
• [9]王胜,张颉,唐超,等.基于CML的智能变电站设备节点网络连锁失效模型[J].重庆大学学报,2022,45(5):33-42.WANG S, ZHANG J, TANG C, et al. An intelligent substation logic mode metwork failure chain model based on CML[J].Journal of Chongqing University(Natural Science Edition),2022,45(5):33-42.(in Chinese)
• [10]顾永涛,步凌飞,王海文.油田多通路集输管网基于图的遍历算法[J].科学技术与工程,2022,22(7):2676-2681.GU Y T, BU L F, WANG H W. Graph Based Traversal Algorithm of Multi-route Gathering and Transportation Pipeline in Oilfield[J].Science Technology and Engineering,2022,22(7):2676-2681.(in Chinese)
• [11]梁文武,朱维钧,李辉,等.基于粗糙集的智能变电站保护设备仿生故障诊断方法[J].电力系统保护与控制,2021,49(21):132-140.LIANG W W, ZHU W J, LI H, et al. A rough set-based bio-inspired fault diagnosis method for smart substation protection equipment[J].Power System Protection and Control,2021,49(21):132-140.(in Chinese)
• [12]张嘉伟,马建峰,马卓,等.云计算中基于时间和隐私保护的可撤销可追踪的数据共享方案[J].通信学报,2021,42(10):81-94.ZHANG J J, MA J F, MA Z, et al. Time-based and privacy protection revocable and traceable data sharing scheme in cloud computing[J].Journal on Communications,2021,42(10):81-94.(in Chinese)
• [13]张峰,韩伟,宋闯,等.智能变电站光纤链路在线监测与自动化测试系统设计[J].合肥工业大学学报(自然科学版),2021,44(8):1038-1044.MA F, HAN W, SONG C, et al. Design of online monitoring and automatic test system for optical fiber link in smart substation[J].Journal of Hefei University of Technology(Natural Science),2021,44(8):1038-1044.(in Chinese)
• [14]李衬衬,孙锋,孙猛,等.基于深度优先搜索算法的交通流向供需失衡路径辨识[J].科学技术与工程,2021,21(14):6026-6031.LI C C, SUN F, SUN M, et al. Analysis of Imbalance between Supply and Demand of Traffic Flow Based on DFS Algorithm and Route Identification[J].Science Technology and Engineering,2021,21(14):6026-6031.(in Chinese)
• [15]王鸣誉,李铁成,任江波,等.利用Apriori算法实现变电站二次系统故障诊断[J].电力系统及其自动化学报,2021,33(11):145-150.WANG M Y, LI T C, REN J B, et al. Realization of Fault Diagnosis of Substation Secondary System Using Apriori Algorithm[J].Proceedings of the CSU-EPSA,2021,33(11):145-150.(in Chinese)