Study on Power Grid Disturbance Propagation Characteristics Based on Improved DBSCAN Clustering

The power industry is the lifeblood of the national economy. Ensuring the secure and dependable operation of power systems is critical for driving economic growth and maintaining societal stability. Consequently, investigating the propagation characteristics of disturbances in intricate power grids holds significant importance. Voltage stands as a crucial parameter within power systems, with its dynamic behavior encapsulating a wealth of information about the grid. This, in turn, influences the security and stability of power systems. In order to delve into the propagation patterns of power system disturbances, this paper first defines parameters such as abrupt line segment and voltage motion characteristic line segment according to voltage phase trajectory, and gives a method to describe the similarity between each parameter by trajectory distance. Then, building upon this foundation, an analytical approach to examining power grid disturbance propagation characteristics is introduced, utilizing an improved DBSCAN clustering algorithm. Subsequently, the effectiveness of the refined DBSCAN clustering algorithm is validated through simulations on the Iris dataset. Finally, the improved DBSCAN clustering methodology is applied to the IEEE 39-bus system, enabling an analysis of power grid disturbance propagation. This facilitates a robust evaluation of the modes and attributes of disturbance propagation.