Discrete event chain description of power system transient dynamic simulations for efficient cluster analysis

Abstract

The results of an electromechanical transient simulation can be viewed as a time series data set. Storing these data requires a sizeable space, and the considerable data size renders comparative analysis difficult. For mitigating these problems, a method for analysing and describing a discrete-event chain in the dynamic process of a power system is proposed. Based on the symbolic description, the continuous dynamic process is represented as a discrete-event chain, resulting from the change in state variables beyond the given threshold. Therefore, the event-driven electromechanical transient simulation is developed, and the continuous dynamics and discrete-event chain simulation results are obtained. Subsequently, the event relation matrix is obtained, normalised, and then converted into a bitmap. Finally, the k -means method is used for the cluster analysis on the bitmap of the simulation result. Two test cases involving an IEEE 39-bus system and a practical system are considered. Case studies demonstrate the effectiveness of the proposed method.