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中文摘要：
提出了一种基于WAMS的低频振荡模式在线辨识算法。文章从WAMS主站中心角度将辨识过程分为四个阶段：数据接收与存储，数据预处理，振荡模式参数计算和辨识结果分析。丢失数据估计、低通滤波、模型阶数优化等改进措施的应用提高了辨识过程的速度和辨识结果的可靠性。结合实际的WAMS系统和Visual Studio开发平台，设计了运行于WAMS主站的在线辨识系统。以规划中的南方电网进行的算例研究验证了辨识结果的准确性。
英文摘要：
An algorithm is presented to identify low frequency oscillation modes on line based on WAMS. From the view of main station center, the identifying process is composed of four steps, which are receiving ＆ saving data, preprocessing data, calculating LFO modes parameters and analyzing results identified. The speed of identifying process and the reliability of results are improved by predicting lost data, low frequency filtering and optimizing model order. Integrated with WAMS system and Visual Studio, the identifying system on line is designed which is running at main station. The research on South Power Grid in plan has proved that the algorithm is reliable.
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