Fusion Control Method for Cyber-Physical Power System Based on Information Entropy Calculation Model

Because of the tight coupling and mutual influence of control strategies, networks and physical processes in cyber-physical power systems, existing control strategies that take into account the uncertainty of operation cannot achieve the overall consideration of information transmission and physical flow processes. Moreover, the lack the coupling unified modeling control of the discrete information subsystem and cyber-physical power system with continuous attributes. Hence, the unified modeling is adopted for multidimensional information uncertainty of power and the mathematical expression of uniform information entropy for transmission delay, packet loss and bit error is given. Then, the information uncertain assembly term is introduced into the variable structure sliding-mode control, and the switching function of the integral structure is used to make the stability parameters of the system approach the sliding-mode surface. Therefore, the variable structure sliding-mode controller suitable for the system with high information uncertainty is proposed. The control performance of the proposed method is verified by a load frequency control simulation model of a multi-region interconnected power system. The experiments show that compared with the existing load frequency controllers which consider time-lag, the proposed method can effectively track the frequency deviation caused by power fluctuations under the condition of large-scale information uncertainty and various load disturbances, and has good dynamic performance and strong control robustness. © 2021 Automation of Electric Power Systems Press.