Risk control method for power data support based on embedded technology

Chengyue YANG; Zhou YU; Yuanyuan ZHAO; Changlong CHEN

doi:10.11959/j.issn.1000-0801.2024030

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Risk control method for power data support based on embedded technology

Research and Development | 更新时间：2024-06-05

- Risk control method for power data support based on embedded technology
- Telecommunications Science Vol. 40, Issue 2, Pages: 141-149(2024)
- 作者机构：
  
  1. 国家电网有限公司大数据中心，北京 100032
  2. 北京国电通网络技术有限公司，北京 100070
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024030
  CLC： TP391
- Published Online：2024-02，
  
  Published：20 February 2024
- 稿件说明：
移动端阅览
Chengyue YANG, Zhou YU, Yuanyuan ZHAO, et al. Risk control method for power data support based on embedded technology[J]. Telecommunications science, 2024, 40(2): 141-149.
DOI：

Chengyue YANG, Zhou YU, Yuanyuan ZHAO, et al. Risk control method for power data support based on embedded technology[J]. Telecommunications science, 2024, 40(2): 141-149. DOI： 10.11959/j.issn.1000-0801.2024030.

摘要

为了提高电力系统风险控制中不良数据识别能力和故障定位精度，利用嵌入式技术，设计出电力系统的新型风险控制方法。使用S3C2440芯片作为中央处理器，通过同步向量测量单元（phasor measurement unit， PMU）技术甄别电力系统中出现的不良数据，提高了甄别的效率；在传统的多元宇宙算法基础上进行改进，基于PMU采集的数据进行故障定位，有效提高故障定位精度。在仿真实验中，该方法的不良数据识别效率至少提高33.76%，故障定位的精度提高26.33%，效率至少提高43.4%。所提方法在电力系统中具有良好的风险控制能力。

Abstract

In order to improve the ability of bad data identification and fault location accuracy in power system risk control

a new risk control method for power systems using embedded technology was designed.S3C2440 chip was used as the central processing unit

the phasor measurement unit (PMU) technology was used to identify bad data in the power system

improving the efficiency of identification.Improved on the basis of traditional multiverse algorithms

fault localization was based on data collected by PMU

effectively improving the accuracy of fault localization.In the simulation experiment

the efficiency of identifying bad data by the proposed method has been improved by at least 33.76%

the accuracy of fault localization has been improved by 26.33%

and the efficiency has been improved by at least 43.4%.The proposed method has good risk control capabilities in the power system.

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references

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