Collaborative Cloud-Controlled Defense Mechanism for Low-Carbon Economic Dispatch in Active Distribution Networks Under Interlayer Attack

Abstract

This article presents a collaborative cloud-based control and defense framework designed to address scheduling challenges and interlayer false data injection (FDI) attacks in a low carbon economy. The proposed framework integrates the principles of low carbon economy strategy and new energy (wind turbine, photovoltaic) modeling to coordinate active and reactive power of distributed generation (DG) using a layered control approach. The framework consists of two main layers: a lower layer and an upper layer. The lower layer combines control and attack defense strategies. State feedback control is utilized to regulate the dynamics of the DG and defense strategies are employed to defend against potential controller FDI attacks. The upper layer, on the other hand, consists of interlayer defense strategies and cloud computing. The FDI defense from the lower control layer to the upper cloud computing layer obtains the actual operating state of the DG. And these data are used for cloud computing to get the next reference power. Cloud computing focuses on multiobjective optimization with the aim of minimizing generation cost, line loss, and bus voltage deviation under low carbon conditions. In order to verify the effectiveness of the proposed control strategy, simulations are conducted on a computer and StarSim hardware-in-the-loop experimental platform. The results show that the framework can effectively manage energy consumption in a low-carbon economy.