Power system stability analysis is extremely complex due to its multi-time scale nature, high dimensionality and non-linearity.
由于电力系统是一个多时间尺度的高阶非线性系统，其稳定性分析就变得异常复杂。
The results show that the correlations between E1 Nino and the temperature and precipitation in Heilongjiang Province have multi-time scale characteristics;
结果表明，厄尔尼诺事件与黑龙江省气温和降水之间的相关具有多时间尺度的特征；
Power system stability analysis is extremely complex due to its multi time scale nature, high dimensionality and non linearity.
电力系统是一个多时间尺度的大规模非线性系统，其稳定性分析非常复杂。
But for a multi time scale power system, existence and fundamental characteristics of fast manifolds must also be studied in order to obtain the model reduction condition of fixing slow dynamics.
但对于多时间尺度的电力系统模型降阶问题而言，还必须研究快流形的存在性及其基本特征，以给出固定系统慢动态的降阶条件。
But for a multi time scale power system, existence and fundamental characteristics of fast manifolds must also be studied in order to obtain the model reduction condition of fixing slow dynamics.
但对于多时间尺度的电力系统模型降阶问题而言，还必须研究快流形的存在性及其基本特征，以给出固定系统慢动态的降阶条件。
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