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Tsinghua Science and Technology 2014, 19(2): 133-143 https://doi.org/10.1109/TST.2014.6787366
Open Access | Issue | Published: 15 April 2014

An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications

Show Author's Information Yuxin Wan,  Junwei Cao( ),  Shuqing Zhang,  Guoyu Tu,  Chao Lu,  Xingtao Xu,  Keqin Li
Department of Automation, Research Institute of Information Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
State Grid Jiangsu Electric Power Company, Nanjing 210024, China
Department of Computer Science, State University of New York, New Paltz, NY 12561, USA
Keywords:
simulation, smart grid, cyber-physical system, control, wide-area monitoring
Cite this article:
Wan Y, Cao J, Zhang S, et al. An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications. Tsinghua Science and Technology, 2014, 19(2): 133-143. https://doi.org/10.1109/TST.2014.6787366
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Abstract Full text About this article

The concept of Cyber-Physical Systems (CPSs), which combine computation, networking, and physical processes, is considered to be beneficial to smart grid applications. This study presents an integrated simulation environment to provide a unified platform for the investigation of smart grid applications involving power grid monitoring, communication, and control. In contrast to the existing approaches, this environment allows the network simulator to operate independently, importing its results to the power system simulation. This resolves conflicts between discrete event simulation and continuous simulation. In addition, several data compensation methods are proposed and investigated under different network delay conditions. A case study of wide-area monitoring and control is provided, and the efficiency of the proposed simulation framework has been evaluated based on the experimental results.


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About this article

An Integrated Cyber-Physical Simulation Environment for Smart Grid Applications

Show Author's information Yuxin Wan, Junwei Cao( ), Shuqing Zhang, Guoyu Tu, Chao Lu, Xingtao Xu, Keqin Li
Department of Automation, Research Institute of Information Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
State Grid Jiangsu Electric Power Company, Nanjing 210024, China
Department of Computer Science, State University of New York, New Paltz, NY 12561, USA

Abstract

The concept of Cyber-Physical Systems (CPSs), which combine computation, networking, and physical processes, is considered to be beneficial to smart grid applications. This study presents an integrated simulation environment to provide a unified platform for the investigation of smart grid applications involving power grid monitoring, communication, and control. In contrast to the existing approaches, this environment allows the network simulator to operate independently, importing its results to the power system simulation. This resolves conflicts between discrete event simulation and continuous simulation. In addition, several data compensation methods are proposed and investigated under different network delay conditions. A case study of wide-area monitoring and control is provided, and the efficiency of the proposed simulation framework has been evaluated based on the experimental results.

Keywords: simulation, smart grid, cyber-physical system, control, wide-area monitoring

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Publication history
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Publication history

Received: 18 February 2014
Revised: 24 February 2014
Accepted: 25 February 2014
Published: 15 April 2014
Issue date: April 2014

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© The author(s) 2014

Acknowledgements

This work was supported in part by the National Key Basic Research and Development (973) Program of China (Nos. 2013CB228206 and 2011CB302505), the National Natural Science Foundation of China (No. 61233016), and 2012 State Grid S&T project, Advanced Study of Power Quality—Key Technologies and Applications.

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