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 xe2x80x93 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 multisensor fusion technology, selforganization 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 multiQoS 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 Microgrid System as simulation case, proposed algorithmu0027s 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.

Impacts of Cyber System on Microgrid Operational Reliability A microgrid is a typical cyberphysical system. The coordinated control of each unit in a microgrid mainly relies on the cyber system. Once performance degradation of the cyber system happens, such as outages or transmission delay, the stable operation of the microgrid will likely be affected. In this paper, an analytical method is presented to quantify the impacts on the microgrid operation reliability from cyber system element failures and transmission interference. First, the link model and the information transmission model of the cyber system are established to describe the cyber routing path and the information transmission service quality, respectively. Then, the Sequential Monte Carlo method is employed to simulate the operation of the microgrid. Finally, the impacts of the element failure and the transmission interference of the cyber system on microgrid operational reliability is quantitatively analyzed. Additionally, sensitivity analysis is carried out, focusing on the impacts of the cyber network topology, element failure rate and different types of information transmission quality indexes including delays, routing error and information transmission error. The results of the numerical examples demonstrate the effectiveness of the proposed model and method.