数据驱动的柔性直流继电保护自适应测试方法

刘丽萍; 刘德坤; 邓搏; 范登博; 辛光明; 张新远; 李博通; 任翔; 吝梦媛

doi:10.11930/j.issn.1004-9649.202412036

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数据驱动的柔性直流继电保护自适应测试方法

新型电网 | 更新时间：2025-12-20

- 数据驱动的柔性直流继电保护自适应测试方法
- A Data-driven Adaptive Testing Method for Flexible DC Relay Protection
- 中国电力 2025年58卷第11期页码：186-192
- 作者机构：
  
  1. 天津大学电气自动化与信息工程学院,天津,300072
  2. 国网冀北电力有限公司,北京,100052
  3. 国网冀北电力有限公司电力科学研究院,北京,100045
- 作者简介：
- 基金信息：
  
  国家电网有限公司科技项目（5100-202314007A-1-1-ZN）。
- DOI：10.11930/j.issn.1004-9649.202412036
  中图分类号：
- 网络出版：2025-12-01，
  
  纸质出版：2025-12-01
- 稿件说明：
移动端阅览
刘丽萍, 刘德坤, 邓搏, 范登博, 辛光明, 张新远, 李博通, 任翔, 吝梦媛. 数据驱动的柔性直流继电保护自适应测试方法[J]. 中国电力, 2025, 58(11): 186-192, 204.

LIU Liping, LIU Dekun, DENG Bo, et al. A Data-driven Adaptive Testing Method for Flexible DC Relay Protection[J]. 2025, 58(11): 186-192.
刘丽萍, 刘德坤, 邓搏, 范登博, 辛光明, 张新远, 李博通, 任翔, 吝梦媛. 数据驱动的柔性直流继电保护自适应测试方法[J]. 中国电力, 2025, 58(11): 186-192, 204. DOI： 10.11930/j.issn.1004-9649.202412036.

LIU Liping, LIU Dekun, DENG Bo, et al. A Data-driven Adaptive Testing Method for Flexible DC Relay Protection[J]. 2025, 58(11): 186-192. DOI： 10.11930/j.issn.1004-9649.202412036.

摘要

柔性直流输电系统复杂的运行环境对继电保护性能测试提出了更高要求。为提高测试效率，提出数据驱动的柔性直流继电保护自适应测试方法，挖掘保护评价关键测试场景进行测试。采用均值漂移法对测试历史数据进行聚类分析，基于典型场景利用神经网络建立测试预测模型。通过仿真算例验证了所提方法的有效性，与此同时，仿真结果表明，所提方法有利于提升测试效率及准确性，有效降低了测试时间和资源成本。

Abstract

The flexible direct current transmission system's complex operation environment has put forward higher requirements for relay protection performance testing. In order to improve the testing efficiency

data-driven self-adaptive testing method for flexible direct current relay protection is proposed. The key testing scenarios for protection evaluation are tested by mining. The mean drift method is used to the historical testing data

and a testing prediction model based on typical scenarios and neural networks is established. The effectiveness of the proposed method is verified by simulation examples. At the same

the simulation results show that the proposed method is conducive to improving the efficiency and accuracy of testing

and effectively reducing the time and resource cost of testing.

关键词

Keywords

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