Resilience enhancement by line hardening for communication routing considering renewable energy sources in cyber-physical power systems

Communication routing of cyber-physical power systems (CPPS) with the high penetration of renewable energy sources (RES) plays an important role in the resilience enhancement against disasters, natural and man-made alike. Therefore, a trilevel optimization model is proposed for the CPPS resilience enhancement with the RES against extreme events. The upper-level model identifies optimal hardening lines of both the transmission and communication networks with consideration of the communication routing constraints. The middle-level model identifies the attacked lines to maximize load shedding of the power system. The effects of RES uncertainty and communication routings on resilience enhancement are analysed. The lower-level model attains an optimal allocation strategy of power generation to minimize load shedding. The model is solved by the column-and-constraint generation algorithm. Case studies are conducted on the IEEE 14-bus, RTS 24-bus, and 118-bus system. The results show that the proposed hardening strategy can effectively ensure the adaptiveness of the transmission network and communication routing to improve the resilience of CPPS to extreme events. Moreover, it is observed that the load loss and total investment cost are heavily affected without and with RES.