Analysis of IEEE 1588-based Cyber Physical System for micro grid automation

Author(s):  
Stefano Rinaldi ◽  
Paolo Ferrari ◽  
Alessandra Flammini
2014 ◽  
Vol 926-930 ◽  
pp. 2325-2328
Author(s):  
Ling Xiao Hu ◽  
Jing Li Mao ◽  
Bi Ling Zhang ◽  
An Shi Zhou

Micro-grid, which coordinates distributed energy resources in a decentralized way, is a promising approach to allow distributed energy resources to provide full benefits while reducing the control burden on the grid. By exploiting the concept of cyber-physical system (CPS), prediction can be easily incorporated into micro-grid, which helps the micro-grid work more effectively and safely. In such a case, in this paper, based on CPS, we propose a novel micro-grid model, within the framework of which, a more explicit wind-solar complementary power system is presented. Moreover, we show how the closed-loop control is implemented in the proposed model which is of benefit to the design of micro-grid.


Author(s):  
Vo Que Son ◽  
Do Tan A

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.


Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


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