基于多信息源的大电网低频振荡预警及防控决策系统
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作者单位:

(1.中国农业大学信息与电气工程学院,北京 100083;2.中国电力科学研究院,北京 100192;
3..国网安徽省电力公司经济技术研究院,安徽 合肥 230022)

作者简介:

宋墩文(1971 -),男,通信作者,高级工程师,研究方向为电力系统安全稳定控制研究和电力系统仿真计算分析系统研发。E-mail:songdw@epri.sgcc.com.cn

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基金项目:

国家电网公司科技项目“大电网安全稳定控制策略管理和动态性能监测关键技术研究”


A multiple information sources based early warning and preventive control system for low-frequency oscillation in large-scale power system
Author:
Affiliation:

(1. College of Information and Electrical Engineering, China Agriculture University, Beijing 100083, China;
;2. China Electric Power Research Institute, Beijing 100192, China; ;3. State Grid Anhui Electric
Power Company Economy and Technology Research Institute, Hefei 230022, China)

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    摘要:

    低频振荡是威胁互联电网安全稳定运行的关键因素之一。负阻尼机理低频振荡和强迫功率振荡在我国均有发生。基于WAMS和EMS实时多信息源相结合,提出一种将低频振荡实时监测预警、扰动源定位、动态稳定控制策略在线搜寻综合应用于大电网的动态稳定防控方法。阐述了系统整体功能架构,介绍了多机理低频振荡防控并行技术方案。通过Prony计算、振荡能量指标、运行参数特征值灵敏度分析、模式匹配策略等方法实现低频振荡在线预警及防控,并指出了所涉及的关键技术。该系统可实现大电网低频振荡快速量化评估与辅助决策,对提高电力系统动态安全预警及防控水平,具有重要理论指导和工程实践意义。该原理方法在河南省互联电网低频振荡防控系统中得到实际应用。

    Abstract:

    Low frequency oscillation is one of the key factors threatening the security and stability of interconnected power grid. Negative damping mechanism low frequency oscillation and forced power oscillation ever have occurred in China. Based on the combined real-time multi-information sources multi-information source of WAMS and EMS, a comprehensive prevention and control method including real-time monitoring and early warning of low frequency oscillations, disturbance source localization, online searching of dynamic stability control strategy applied to large grid is proposed. The overall system function architecture is elaborated and the parallel prevention technical solution of multi-mechanism low frequency oscillation is introduced. By Prony calculation, oscillation energy index, eigenvalue sensitivity analysis of operating parameters and pattern matching strategy methods, the online warning and prevention of low frequency oscillation is achieved, the key technologies involved are pointed out. Using the proposed system, the fast quantitative evaluation and decision support for low frequency oscillation of large power grid can be implemented, and the dynamic security early warning and preventive control level of power grids can be enhanced, which is meaningful both in theoretical guidance and engineering practice. The method gets practical application in Henan interconnected power grid.

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宋墩文,温渤婴,杨学涛,等.基于多信息源的大电网低频振荡预警及防控决策系统[J].电力系统保护与控制,2016,44(21):54-60.[SONG Dunwen, WEN Boying, YANG Xuetao, et al. A multiple information sources based early warning and preventive control system for low-frequency oscillation in large-scale power system[J]. Power System Protection and Control,2016,V44(21):54-60]

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  • 收稿日期:2015-10-26
  • 最后修改日期:2016-03-10
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  • 在线发布日期: 2016-11-04
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