电气工程学报 ›› 2017, Vol. 12 ›› Issue (8): 1-9.doi: 10.11985/2017.08.001

• 综述 •    下一篇

同步发电机励磁系统状态在线测辨技术研究综述

乔冠伦1,李福兴2,李梧桐1,沈小军1   

  1. 1. 同济大学电气工程系 上海 201804
    2. 国家电网上海市电力公司电力科学研究院 上海 200437
  • 收稿日期:2016-11-09 出版日期:2017-08-25 发布日期:2019-12-11
  • 作者简介:乔冠伦 男 1992年生,硕士研究生,研究方向为励磁系统状态评估技术。|李福兴 男 1963年生,高级工程师,从事网源协调、设备评价、诊断技术方面的研究。

Overview on On-Line Status Identification Technology of Synchronous Generator Excitation System

Qiao Guanlun1,Li Fuxing2,Li Wutong1,Shen Xiaojun1   

  1. 1. Department of Electrical Engineering Tongji University Shanghai 201804 China
    2. State Grid Shanghai Electric Power Research Institute Shanghai 200437 China
  • Received:2016-11-09 Online:2017-08-25 Published:2019-12-11

摘要:

本文将励磁系统参数在线测辨分为信息实时获取、参数在线辨识和性能在线评估三个环节,分析了上述各环节的特征,探讨了励磁系统参数在线测辨技术的发展方向。结果表明,励磁系统信息实时获取环节在测量时间同步性和空间广泛性等方面均有大幅提升,以智能组件为代表的新型在线监测技术及其应用基础理论有待进一步研究;基于电网扰动的系统参数辨识具有较强的非线性环节参数辨识和噪声抑制能力,虽可满足当前系统参数在线辨识需求,若需进一步提升在线辨识的精度还需开展新的辨识算法和分类辨识策略研究;现有的励磁系统性能评估理论体系主要侧重于合格化对标,支持系统性能分级评估的应用基础理论研究有待开展。

关键词: 同步发电机, 励磁系统, 在线测辨, 性能评估

Abstract:

In the paper, on-line measurement and identification of excitation system parameter is divided into three sections: real-time information acquisition, on-line parameter identification and on-line performance evaluation. The research situationis reviewed, and the related theories and key technologies of on-line measurement and identification of excitation system parameter are discussed and analyzed. The results show that the real-time information acquisition section has great improvement on measurement time synchronization and spatial extensibility, new on-line monitoring technology such as intelligent electronic device and the basic theory of its application needs further study. For on-line parameter identification of the excitation system, the parameter identification based on disturbance of the grid has strong nonlinear parameter identification and noise suppression capability and meets the current system on-line identification needs, it is necessary to carry out research on new identification algorithm and classification identification strategy to be further enhanced. The existing theoretical system of excitation system performance evaluation mainly focuses on the qualitative benchmarking, and research on excitation system performance classification evaluation needs to be developed.

Key words: Synchronous generator, excitation system, on-line measurement and identification, performance evaluation

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