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Experimental Study on Cloud-Computing-Based Electric Power SCADA System

Experimental Study on Cloud-Computing-Based Electric Power SCADA System
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摘要 With the development of smart grid, the electric power supervisory control and data acquisition (SCADA) system is limited by the traditional IT infrastructure, leading to low resource utilization and poor scalability. Information islands are formed due to poor system interoperability. The development of innovative applications is limited, and the launching period of new businesses is long. Management costs and risks increase, and equipment utilization declines. To address these issues, a professional private cloud solution is introduced to integrate the electric power SCADA system, and conduct experimental study of its applicability, reliability, security, and real time. The experimental results show that the professional private cloud solution is technical and commercial feasible, meeting the requirements of the electric power SCADA system. With the development of smart grid, the electric power supervisory control and data acquisition (SCADA) system is limited by the traditional IT infrastructure, leading to low resource utilization and poor scalability. Information islands are formed due to poor system interoperability. The development of innovative applications is limited, and the launching period of new businesses is long. Management costs and risks increase, and equipment utilization declines. To address these issues, a professional private cloud solution is introduced to integrate the electric power SCADA system, and conduct experimental study of its applicability, reliability, security, and real time. The experimental results show that the professional private cloud solution is technical and commercial feasible, meeting the requirements of the electric power SCADA system.
出处 《ZTE Communications》 2015年第3期33-41,共9页 中兴通讯技术(英文版)
关键词 smart grid cloud computing electric power SCADA professional private cloud VIRTUALIZATION cloud storage real-time industrial control smart grid cloud computing electric power SCADA professional private cloud virtualization cloud storage real-time industrial control
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  • 1WEI Q, FLUECK A J, FENG T. A new parallel algorithm for security constrained optimal power flow with a nonlinear interior point method// Proceedings of IEEE PES General Meeting, July 12-15, 2005, San Francisco, CA, USA: 447- 453.
  • 2LIANG C H, CHUNG C Y, WONG K P, et al. Parallel optimal reactive power flow based on cooperative co- evolutionary differential evolution and power system decomposition. IEEE Trans on Power Systems, 2007, 22(1):249-257.
  • 3ALI M, DONG Z Y, LI X, et ah A grid computing based approach for probabilistic load flow analysis// Proceedings of IET International Conference on Advances in Power System Control, Operation 'and Management, October 30-November 2, 2006, Hong Kong, China.
  • 4WANG H, LIU Y. Power system restoration collaborative grid based on grid computing environment// Proceedings of IEEE PES General Meeting, July 12 16, 2005, San Francisco, CA, USA: 644-649.
  • 5ZHOU H F, WU F F, NI Y X. Design for grid service-based future power system control centers// Proceedings 05 IET International Conference on Advances in Power System Control, Operation and Management, October 30-November 2, 2006, Hong Kong, China.
  • 6TAYLOR G A, IRVING M R, HOBSON P R, et al. Distributed monitoring and control of future power systems via grid computing// Proceedings of IEEE PES General Meeting, June 17-23, 2006, Montreal, Canada.
  • 7ZHANG P, LEE T, SOBAJIC D. Moving toward probabilistic reliability assessment methods// Proceedings of Eighth International Conference on Probabilistic Methods Applied to Power Systems, September 12-14, 2004, Ames, IA, USA: 906- 913.
  • 8BILLINTON R, LI W. Reliability assessment of electric power systems using Monte Carlo methods. New York, NY, USA: Plenum Press, 1994.
  • 9ALI M,DONG Z Y, LI X, et al. RSA-grid: a grid computing based framework for power system reliability and security analysis// Proceedings of IEEE PES General Meeting, June 17-23, 2006, Montreal, Canada.
  • 10National Energy Technology Laboratory, United States Department of Energy. A vision for the modern grid [R/OL]. [2010-05-25]. http://www, bpa. gov/energy/N/smart _ grid/ does/Vision_ for_t heModernGrid_Final, pdf.

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