Abstract
Probabilistic stability analysis of low frequency oscillation of large-scale interconnected power grid based on the theory of point estimation method and risk assessment
Highlights
Low frequency oscillations of interconnected power grid can be detrimental in power system operation since they limit the power capacity of tied line transmission, and may result in making the oscillation of system out of step due to insufficient damping after the failure [1,2]
The true case is that the low frequency oscillations are caused by multiple disturbances, which are not considered in the existing methods analysis [3,4]
Based on the two point estimation method and risk assessment, the indicators and methods of the probabilistic stability analysis of low frequency oscillation are put forward and one case study of practical power grid is given to verify the effectiveness of the proposed method
Summary
Low frequency oscillations of interconnected power grid can be detrimental in power system operation since they limit the power capacity of tied line transmission, and may result in making the oscillation of system out of step due to insufficient damping after the failure [1,2]. One common method for the low-frequency oscillation testing is the small signal stability analysis under the certain designed operation mode in traditional power system [1] The drawback of this method is that it does not consider the random factors such as load fluctuations and power dispatch, and the risk of low frequency oscillation caused by large disturbance. Among the existing methods of small signal stability probabilistic analysis, the Monte Carlo simulation (MCS) is an excellent method to take many kinds of random factors into account, and it is simple and convenient It needs a large number of sampling data and recursive operations [11, 12]. Based on the two point estimation method and risk assessment, the indicators and methods of the probabilistic stability analysis of low frequency oscillation are put forward and one case study of practical power grid is given to verify the effectiveness of the proposed method
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