基于数据驱动的智能变电站信息高效校验技术

doi:10.11930/j.issn.1004-9649.202404028

摘要/Abstract

摘要：

为提高变电站的远动遥信对点效率，提出一种基于数据驱动的智能站信息高效校验技术。面向智能变电站，基于远动信息对点系统架构，采用多点随机不重复抽取方法实现信息全覆盖，并通过不一致效验分析方法进行信息对点检验，利用抽取校核方法实现远动遥信对点的闭环处理。通过仿真算例，验证了所提方法的高效性与准确性。

关键词: 数据驱动, 遥信对点, 不一致分析

Abstract:

To improve the efficiency of remote control and telemetry point verification in substations, a data-driven intelligent station information verification technology is proposed. Aiming intelligent substations, based on the remote information point system architecture, a multi-point random non-repetitive sampling method is used to achieve full coverage of information, an inconsistency verification analysis method is used for information point inspection. The closed-loop processing of remote control and telemetry point verification is realized by using the sampling verification method. efficiency and accuracy of the proposed method are verified by simulation examples.

Key words: data-driven, telematics-to-point, inconsistency analysis

计荣荣, 张淦锋, 王梦芝, 金颖杰, 李海, 黄若钒. 基于数据驱动的智能变电站信息高效校验技术[J]. 中国电力, 2025, 58(1): 100-106.

Rongrong JI, Ganfeng ZHANG, Mengzhi WANG, Yingjie JIN, Hai LI, Ruofan HUANG. Data-driven Efficient Verification Technique for Smart Substations Messages[J]. Electric Power, 2025, 58(1): 100-106.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404028

https://www.electricpower.com.cn/CN/Y2025/V58/I1/100

图/表 7

图 1 面向智能变电站的远动信息对点系统架构

Fig.1 Remote Information-to-Point System Architecture for Intelligent Substations

图 2 基于数据驱动模型的不一致效验分析

Fig.2 Inconsistent validation analysis based on data-driven model

图 3 测点子集遥信种类覆盖度

Fig.3 Coverage of telemetry types for a subset of telemetry points

图 4 数据驱动方法准确率比对结果

Fig.4 Comparison results of accuracy of data-driven methods

表 1 抽选替换次数的阈值选取

Table 1 Threshold selection for the number of sampling substitutions

抽选替换次数的阈值	遥信种类覆盖度/%	平均命中数目/次	完成时间/ min
y=20	83.33	10	5.0
y=25	86.77	8	5.4
y=30	94.44	6	6.0
y=35	95.60	6	7.0

表 2 与现有方法对比

Table 2 Comparison with existing methods

项目	遥信点数	调试时间/h	调试效率个/h
本系统调试	51 533	68.0	757
普通人工调试	2 457	121.0	20
自动对点方法^[12]	2 712	4.5	602

图 5 系统软件调度快速对点界面

Fig.5 System software scheduling fast point-to-point interface

参考文献 18

1	金国锋, 杨世峰, 刘玲玲, 等. 基于二维混沌映射正余弦算法的智能变电站虚回路自动连接技术[J]. 中国电力, 2024, 57 (8): 152- 158.
	JIN Guofeng, YANG Shifeng, LIU Lingling, et al. Automatic connection of virtual circuits in smart substations based on chaotic two-dimensional mapping sine and cosine algorithm[J]. Electric Power, 2024, 57 (8): 152- 158.
2	叶远波, 王吉文, 汪伟, 等. 基于哈希和编辑距离算法的SCD双层向量化与变更校验技术[J]. 中国电力, 2024, 57 (1): 255- 262.
	YE Yuanbo, WANG Jiwen, WANG Wei, et al. SCD two-layer vectorization and change verification technology based on hash and edit distance algorithm[J]. Electric Power, 2024, 57 (1): 255- 262.
3	夏国强, 韩柳, 谢俊, 等. 基于逻辑接口模型和子图同构的变电站二次回路自动设计研究[J]. 广东电力, 2023, 36 (3): 77- 83.
	XIA Guoqiang, HAN Liu, XIE Jun, et al. Research on automatic design of substation secondary circuit based on logic interface model and subgraph isomorphism[J]. Guangdong Electric Power, 2023, 36 (3): 77- 83.
4	朱智, 张永宏, 吕帅, 等. 基于数据通信建模技术的移动式智能变电站安措防误预警系统研究与应用[J]. 内蒙古电力技术, 2023, 41 (4): 54- 59.
	ZHU Zhi, ZHANG Yonghong, LYU Shuai, et al. Research and application on security precaution misoperation early warning system of mobile intelligent substation based on data communication modeling technology[J]. Inner Mongolia Electric Power, 2023, 41 (4): 54- 59.
5	王广真, 付德慧, 杜非, 等. 基于重复模式提取与高斯混合模型的变压器故障声纹识别[J]. 广东电力, 2023, 36 (1): 126- 134.
	WANG Guangzhen, FU Dehui, DU Fei, et al. Transformer fault voiceprint recognition based on repeating pattern extraction and Gaussian mixture model[J]. Guangdong Electric Power, 2023, 36 (1): 126- 134.
6	陆江, 王文彬, 袁廷璧, 等. 光伏电站系统标准能效比的修正方法研究[J]. 电力科技与环保, 2023, 39 (3): 194- 200.
	LU Jiang, WANG Wenbin, YUAN Tingbi, et al. Study on correction method of CPR of PV power station[J]. Electric Power Technology and Environmental Protection, 2023, 39 (3): 194- 200.
7	章杜锡, 吴昱浩, 杨淇. 基于机器学习的电力调度SCADA系统信号自动识别研究[J]. 电力安全技术, 2023, 25 (11): 62- 66. DOI
	ZHANG Duxi, WU Yuhao, YANG Qi. Study on automatic signal identification of power dispatching SCADA system based on machine learning[J]. Electric Safety Technology, 2023, 25 (11): 62- 66. DOI
8	洪曾艳, 王田, 周志炜, 等. 对于变电站遥信核对工作的风险防控的研究与应用[J]. 电气技术与经济, 2023, (2): 1- 3, 14.
9	林耽, 陈章山, 闫延岭, 等. 智能变电站自动对点装置的设计与实现[J]. 电工技术, 2023, (24): 87- 89.
	LIN Dan, CHEN Zhangshan, YAN Yanling, et al. Design and implementation of automatic point checking devices in smart substations[J]. Electric Engineering, 2023, (24): 87- 89.
10	李力, 黄欣, 徐天元, 等. 面向输电网弹性提升的灵活控制装置配置规划[J]. 中国电力, 2023, 56 (12): 113- 126.
	LI Li, HUANG Xin, XU Tianyuan, et al. Flexible control device configuration planning for transmission network resilience enhancement[J]. Electric Power, 2023, 56 (12): 113- 126.
11	张天际, 张朋, 耿少博, 等. 基于装置仿真的远动信息自动对点系统的设计与实现[J]. 电力信息与通信技术, 2019, 17 (10): 38- 43.
	ZHANG Tianji, ZHANG Peng, GENG Shaobo, et al. Design and implementation of remote-control information automatic checkpoint system based on device simulation[J]. Electric Power Information and Communication Technology, 2019, 17 (10): 38- 43.
12	成林, 马骁腾, 任双赞, 等. 智慧变电站多物理场数字化建模关键技术及应用研究[J]. 山东电力技术, 2023, 50 (12): 11- 19.
	CHENG Lin, MA Xiaoteng, REN Shuangzan, et al. Research on key technologies and applications of multi-physics digital modeling of smart substations[J]. Shandong Electric Power, 2023, 50 (12): 11- 19.
13	杨超, 伏晓燕. 智能变电站继电保护设备全防误状态监测技术研究[J]. 电网与清洁能源, 2023, 39 (7): 73- 79. DOI
	YANG Chao, FU Xiaoyan. Research on the full error prevention state monitoring technology of relay protection equipment in intelligent substations[J]. Power System and Clean Energy, 2023, 39 (7): 73- 79. DOI
14	李心宇, 王松, 阮黎翔, 等. 量子通信技术在变电站领域的应用展望[J]. 浙江电力, 2024, 43 (2): 34- 39.
	LI Xinyu, WANG Song, RUAN Lixiang, et al. The prospects for the application of quantum communication technologies in substations[J]. Zhejiang Electric Power, 2024, 43 (2): 34- 39.
15	钟鸣, 陶军, 刘洵宇, 等. 智能变电站光纤虚实回路映射及故障诊断技术[J]. 中国电力, 2023, 56 (10): 171- 178.
	ZHONG Ming, TAO Jun, LIU Xunyu, et al. Smart substation optical fiber virtual and real loop mapping and fault diagnosis technology[J]. Electric Power, 2023, 56 (10): 171- 178.
16	刘昭睿, 王凯, 王新建, 等. 提升末端区域电网供电能力的调控方案及稳控策略研究[J]. 内蒙古电力技术, 2024, 42 (3): 52- 60.
	LIU Zhaorui, WANG Kai, WANG Xinjian, et al. Research on regulation scheme and stability control strategy for enhancing power supply capacity of end-region power grid[J]. Inner Mongolia Electric Power, 2024, 42 (3): 52- 60.
17	夏立萌, 宋巍, 郭飞, 等. 智能变电站监控信息自动传动验收方法研究[J]. 电气工程学报, 2020, 15 (2): 104- 109.
	XIA Limeng, SONG Wei, GUO Fei, et al. Research on automatic transmission acceptance method of smart substation supervisory and control information[J]. Journal of Electrical Engineering, 2020, 15 (2): 104- 109.
18	汤奕, 张雪岑, 刘强, 等. 基于数据驱动的配电终端缺陷分析及自诊断方法[J]. 智慧电力, 2021, 49 (6): 17- 23, 115. DOI
	TANG Yi, ZHANG Xuecen, LIU Qiang, et al. Data-driven analytical and self-diagnostic method for distribution terminal defects[J]. Smart Power, 2021, 49 (6): 17- 23, 115. DOI

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