Data-driven Efficient Verification Technique for Smart Substations Messages

doi:10.11930/j.issn.1004-9649.202404028

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202404028

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

Figures/Tables 7

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

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

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

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

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

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

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

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