A node importance evaluation method based on Monte Carlo simulation and VIKOR for grids containing new energy

Due to the deep coupling between the power and cyber networks and the un-certainty of new energy, the security issues of modern power grids, as a typical cyber-physical system, are becoming increasingly prominent. The node importance evaluation of power grids plays a crucial role in ensuring its reliability and security. This paper proposes a comprehensive node importance evaluation scheme by CRITIC and VIKOR methods. Monte Carlo simulation is used to handle the uncertainty of wind power generation, and a node importance index (GLT) is proposed considering the generation, load, and transmission capacity of the nodes in the power grid. A decision matrix containing the GLT and the other five evaluation indexes is constructed from two aspects of electrical and topology characteristics, and the CRITIC and VIKOR methods are used to integrate the indexes of the decision matrix into a comprehensive importance evaluation index. In the simulation tests, the metrics of power supply and survival node rate are adopted to verify the effectiveness and superiority of the proposed method, which can effectively identify the critical nodes in the power grid.