An Important Element Identification Based on Resilient Heterogeneous Grid

In modern information warfare, identifying important targets in the grid can effectively guide the tactics of the attacker or defender. The existing research on grid attack and defense strategy usually ignores the resilient of the real grids, therefore, RHGEle_Rank (important Element identification based on Resilient Heterogeneous Grid) method is proposed to identify important substations and transmission lines in a multi-round attack and defense game of the grid. Based on simulated resilient power network model, a self-recovery strategy for nodes is designed to simulate the self-healing scenario of the substation under multiple rounds of attack and defense game by considering the efficiency of the nodes. Then, according to the heterogeneous characteristics of power network, cascade failure models based on overload and outage modes are constructed. Finally, a greedy algorithm is used to identify the best attack (defense) target in each round of the offense-defense game. Experiments show that power supply capacity of grid can be destroyed to a greater extent by RHGEle_Rank method than that by the traditional degree centrality and betweenness centrality methods. At the same time, "invalid attack" in multi-round attack and defense games can be effectively avoided if network resilience is considered in the important element identification algorithm.