Using singular perturbation model, by the example of a simple power system losing stability in big disturbance, this paper analyses the mid-long term instability mechanisms affected by slow dynamics.

采用奇异摄动模型，通过一个简单电力系统在大干扰下发生中长期失稳的实例，分析了慢动态对系统中长期失稳的影响。

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The method relies on active perturbation to the system to obtain prior knowledge for building the model, and then constructs the dependency model based on the methods of building Bayesian networks.

这个方法通过对系统进行主动干扰来获得建模的先验知识，然后基于贝叶斯网络构造方法，对分布式应用的组件间关系建立依赖性模型。

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This model is solved by applying the direct perturbation method. The time evolution of spectrum and the first order approximate wave function for the system are presented.

利用直接微扰法，给出了该系统的一级近似波函数及能谱随时间的演化规律。

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