中国电力 ›› 2025, Vol. 58 ›› Issue (7): 128-136.DOI: 10.11930/j.issn.1004-9649.202409057

• 新型电网 • 上一篇    下一篇

多重降维下综合继电保护在线监测系统的电网故障诊断方法

曹海欧1(), 胡晓丽2(), 戴威1(), 胡佳彤2(), 李萍3(), 张玥4()   

  1. 1. 国网江苏省电力有限公司,江苏 南京 210000
    2. 国网江苏省电力有限公司技能培训中心,江苏 苏州 215004
    3. 国网江苏省电力有限公司淮安供电分公司,江苏 淮安 223000
    4. 国网江苏省电力有限公司南京供电分公司,江苏 南京 210000
  • 收稿日期:2024-09-12 发布日期:2025-07-30 出版日期:2025-07-28
  • 作者简介:
    曹海欧(1979),男,通信作者,硕士,高级工程师,从事智能变电站技术研究,E-mail:44081126@qq.com
    胡晓丽(1980),女,高级工程师,从事继电保护研究,E-mail:foxhuxiaoli@163.com
  • 基金资助:
    国家自然科学基金资助项目(52307109)。

A Power Grid Fault Diagnosis Method of Online Monitoring System for Relay Protection under Multiple Dimensionality Reduction

CAO Haiou1(), HU Xiaoli2(), DAI Wei1(), HU Jiatong2(), LI Ping3(), ZHANG Yue4()   

  1. 1. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210000, China
    2. Skills Training Center of State Grid Jiangsu Electric Power Co., Ltd., Suzhou 215004, China
    3. State Grid Jiangsu Electric Power Co., Ltd. Huai'an Power Supply Branch, Huaian 223000, China
    4. State Grid Jiangsu Electric Power Co., Ltd. Nanjing Power Supply Branch, Nanjing 210000, China
  • Received:2024-09-12 Online:2025-07-30 Published:2025-07-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.52307109).

摘要:

随着电网规模不断扩大,故障信息量数据日益庞大,传统诊断方案在面临维度灾难的同时,容错能力也面临挑战。基于此,提出多重降维下综合继电保护在线监测系统的电网故障诊断方法,首先构建考虑信息修正的电网降维诊断模型,进一步基于拓扑结构进行二次降维;然后利用改进长鼻浣熊算法(coati optimization algorithm,COA)对故障诊断模型寻优,引入继电保护在线监测系统采集进行故障辅判;最后对比不同优化算法下不同定位方法的测试结果,验证了所提方法具有良好的定位效果及收敛速度。

关键词: 故障诊断, 信息修正, 降维

Abstract:

With the continuous expansion of the power grid, the amount of fault information data is increasing, and the traditional diagnosis scheme is facing the challenge of dimension disaster fault tolerance is also facing challenges. Based on this, a fault diagnosis method for power grid under the condition of multi-level dimension reduction is proposed. Firstly, the power grid dimension diagnosis model considering information modification is constructed, and further dimension reduction is carried out based on the topological structure; then the improved coati optimization algorithm (COA) is used to optimize fault diagnosis model, and the fault auxiliary judgment is carried out by introducing the online monitoring system of relay protection; Finally, the test results of different positioning methods under different optimization algorithms compared, and it is verified that the proposed method has a good positioning effect and convergence speed.

Key words: fault diagnosis, information correction, dimensionality reduction


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