Small-signal stability prediction and decision support method
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The invention relates to prediction and decision support method, in particular to a small-signal stability prediction and decision support method. In the invention, the case-based reasoning theory and the OAPID (Oscillatory Active Power Increment Distribution) calculation are creatively adopted, data is measured in real time based on a WAMS (Wide Area Measurement System), and small-signal stability prediction is realized according to the level of similarity between the existing case (especially the operating manner prior to oscillation corresponding to a frequent low-frequency oscillation event recorded by the WAMS) and the current operating manner. On the other hand, if the prediction results show that the weak damping mode exists in the current operating manner or low-frequency oscillation has been occurred, the small signal stability of the system is improved by scheduling according to the operating manner indicated by the case with higher level of matching similarity and the damping ratio meeting conditions by targeting at increasing the damping ratio of the corresponding mode (corresponding weak damping mode or low-frequency oscillation corresponding mode).