[1]聂江龙,景明明,李 伟,等.基于组态解析的变电站继电保护设备验收模型设计[J].机械与电子,2026,44(08):110-116.
　NIE Jianglong,JING Mingming,LI Wei,et al.Design of a Configuration-parsing-based Acceptance Model for Substation Relay Protection Equipment[J].Machinery & Electronics,2026,44(08):110-116.
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基于组态解析的变电站继电保护设备验收模型设计()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
44
期数:
2026年08期
页码:
110-116
栏目:
电力控制
出版日期:
2026-08-25

文章信息/Info

Title:
Design of a Configuration-parsing-based Acceptance Model for Substation Relay Protection Equipment
文章编号:
1001-2257(2026)08-0110-07
作者:
聂江龙; 景明明; 李 伟; 曹有财; 李原昊
国网甘肃省电力公司电网建设事业部,甘肃 兰州 730050
Author(s):
NIE Jianglong; JING Mingming; LI Wei; CAO Youcai; LI Yuanhao
(Power Grid Construction Division,State Grid Gansu Electric Power Company,Lanzhou 730050,China)
关键词:
组态解析; 继电保护; 自动验收; 增量式文档对象模型; 多维索引
Keywords:
configuration parsing; relay protection; automated acceptance; incremental document object model; multi-dimensional indexing
分类号:
TM774
文献标志码:
A
摘要:
针对变电站继电保护装置在投运前验收过程中跨节点引用关系复杂且难以形成可审计证据链的问题,提出一种基于组态解析的继电保护设备验收模型。该模型以SCL/XML组态为输入,通过块级增量式文档对象模型保留统一资源定位符路径,并引入字段标准化算子以消解命名、格式与单位差异;进一步构建面向设备对象、通信对象、信号对象和行为对象的多维索引体系,将订阅侧外部引用等跨节点引用解析为统一的引用向量表征,并通过硬约束一致性与软距离歧义消解完成闭合判定,从而生成可追溯的缺陷定位证据。仿真结果表明,所提方法在总体缺陷识别任务中F1达0.952,且误报率与漏报率仅0.044,平均定位深度为10.9层。在1×106 的节点规模条件下,端到端耗时为50.7 s,峰值内存为8.9 GB,验证了该方法在保证高判别性能和证据可复核性的同时,兼具良好的可扩展性与工程部署可行性。
Abstract:
To address the challenge that cross-node reference relationships are highly complex and auditable evidence chains are difficult to establish during the pre commissioning acceptance of substation relay protection devices,this paper proposes a configuration-parsing-based acceptance model for relay protection equipment.Taking the SCL/XML configurations as input,the model employs a block-level incremental construction of Document Object Model (DOM) to preserve uniform resource locator paths,and introducesfield standardization operators to resolve discrepancies in naming,formatting,and units.Furthermore,a multi-dimensional indexing scheme is constructed for covering device objects,communication objects,signal objects,and behavior objects,which resolves cross node references such as subscriber side external references into a unified reference-vector representation.Closure verification is then achieved via hard constraint consistency constraints and soft distance ambiguity resolution,thereby generating traceable evidence for defect localization.Simulation results show that the proposed method attains an F1-score of 0.952 for overall defect identification,with false positive rate and false negative rate of only 0.044 and an average localization depth of 10.9 levels.Under a scale of 106nodes,the end-to-end runtime is 50.7 s and the peak memory usage is 8.9 GB,verifying that the proposed approach ensures high discrimination performance and evidence auditability while offering favorable scalability and feasibility for engineering deployment.

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备注/Memo

备注/Memo:
收稿日期:2026-01-30
基金项目:国网甘肃省电力公司科技项目(522728240002)
作者简介:聂江龙 (1973-),男,甘肃平凉人,硕士,高级工程师,研究方向为智能电网建设、特高压直流输电技术等。
更新日期/Last Update: 2026-08-28