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提出一种基于广域测量系统(WAMS)的方法对日常扰动引起的小幅振荡进行在线识别和统计,从而可以在系统正常运行中,利用实测数据找到系统的固有振荡模式,对其中易激发的危险模式进行节点同调分群、振荡中心识别和贡献因子计算等模态分析并告警,从而补充或纠正了根据数学模型和特定工况进行振荡分析时,由于模型和参数不准确导致的遗漏和误差。以这一功能在山东电力调度中心应用的实例说明了该方法的有效性和推广应用的重要性。
A method based on Wide Area Measurement System (WAMS) is proposed to recognize and count the small oscillations caused by daily disturbances on line, so that the natural oscillation modes of the system can be found in the normal operation of the system. Mode modal analysis and alarm of node cohort clustering, oscillation center identification and contribution factor calculation, so as to supplement or correct the omissions and errors due to inaccurate models and parameters when performing the oscillation analysis according to the mathematical model and the specific working conditions. The application of this function in Shandong Electric Power Dispatching Center illustrates the effectiveness of the method and the importance of popularization and application.