Electrical Sensing and Control Information Flows Optimization Algorithm in Cyber Power Physical System

Advance metering and reliable communication are two crucial technologies in Internet of Things, especially in the industrial application – smart grid, with which electric power system become more intelligent and easier to be controlled. And then the system can provide better quality electric power service for users, great efficiently utilize renewable energy, and decrease carbon emission. Integrated the multi-sensor fusion technology, self-organization technology and information processing technology in cloud, Cyber Physical Systems (CPS) are proposed and can apply in smart grid. Based on Time Sensitive Networking (TSN) and distributed agent technologies, this paper proposes a novel multi-QoS information flows control algorithm (MIFCA) applying in cyber power physical systems. With the algorithm, multiple electrical information data from CPS terminals can be controlled accurately, and achieve the effectively exchanging in this special IoTs. Theory analysis proves that the algorithm is convergence and validity. Using the simplified topology from "CERTS Micro-grid System" as simulation case, proposed algorithm's performance is evaluated in different traffic load levels. Bandwidth utilization ratios in light and high load levels are analyzed. The experiment results show that the proposed algorithm makes resource used more balanceable, and congestion can be avoided effectively.