期刊文献+

Electricity Services Based Dependability Model of Power Grid Communication Networking 被引量:3

Electricity Services Based Dependability Model of Power Grid Communication Networking
原文传递
导出
摘要 The technology of Ultra-High Voltage (UHV) transmission requires higher dependability for electric power grid. Power Grid Communication Networking (PGCN), the fundamental information infrastructure, severs data transmission including control signal, protection signal, and common data services. Dependability is the necessary requirement to ensure services timely and accurately. Dependability analysis aims to predicate operation status and provide suitable strategies getting rid of the potential dangers. Due to the dependability of PGCN may be affected by external environment, devices quality, implementation strategies, and so on, the scale explosion and the structure complexity make the PGCN's dependability much challenging. In this paper, with the observation of interdependency between power grid and PGCN, we propose an electricity services based dependability analysis model of PGCN. The model includes methods of analyzing its dependability and procedures of designing the dependable strategies. We respectively discuss the deterministic analysis method based on matrix analysis and stochastic analysis model based on stochastic Petri nets. The technology of Ultra-High Voltage (UHV) transmission requires higher dependability for electric power grid. Power Grid Communication Networking (PGCN), the fundamental information infrastructure, severs data transmission including control signal, protection signal, and common data services. Dependability is the necessary requirement to ensure services timely and accurately. Dependability analysis aims to predicate operation status and provide suitable strategies getting rid of the potential dangers. Due to the dependability of PGCN may be affected by external environment, devices quality, implementation strategies, and so on, the scale explosion and the structure complexity make the PGCN's dependability much challenging. In this paper, with the observation of interdependency between power grid and PGCN, we propose an electricity services based dependability analysis model of PGCN. The model includes methods of analyzing its dependability and procedures of designing the dependable strategies. We respectively discuss the deterministic analysis method based on matrix analysis and stochastic analysis model based on stochastic Petri nets.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2014年第2期121-132,共12页 清华大学学报(自然科学版(英文版)
基金 supported by the National Key Basic Research and Development (973) Program of China(No. 2010CB328105) the National Natural Science Foundation of China (Nos. 61020106002,61071065,and 11171368) China Postdoctoral Science Foundation (No. 2013M540952) Tsinghua University Initiative Scientific Research Program (No. 20121087999) SGCC research and development projects
关键词 power grid communication networking DEPENDABILITY stochastic Petri nets strategy design power grid communication networking dependability stochastic Petri nets strategy design
  • 相关文献

参考文献18

  • 1IEEE Standard Glossary of Software Engineering Terminology, IEEE Standard 610.12-1990, https:// standards.ieee.org/findstds/standard/610.12-1990.html, 2014.
  • 2R. Zeng, Y. X. Jiang, C. Lin, and X. M. Shen, Dependability analysis of control center networks in smart grid using stochastic petri nets, Parallel and Distributed Systems, IEEE Transactions on, vol. 23, no. 9, pp. 1721- 1730, 2012.
  • 3USA Department of Energy, Smart Grid / Department of Energy, http://energy.gov/oe/technology-development/ smart-grid, 2014.
  • 4R. R. Rajkumar, L. Insup, S. Lui, and J. Stankovic, Cyberphysical systems: The next computing revolution, in Proceedings of the 47th Design Automation Conference, ACM, Anaheim, USA, 2010, pp. 731-736.
  • 5G. N. Ericsson, Cyber security and power system communication-essential parts of a smart grid infrastructure, Power Delivery, IEEE Transactions on, vol. 25, no. 3, pp. 1501- 1507, 2010.
  • 6Y. Mo, T. H. H. Kim, K. Brancik, and D. Dickinson, Cyber-physical security of a smart grid infrastructure, Proceedings of the IEEE, vol. 100, no. 1, pp. 195-209, 2012.
  • 7S. Sridhar, A. Hahn, and M. Govindarasu, Cyber-physical system security for the electric power grid, Proceedings of the 1EEE, vol. 100, no. 1, pp. 210-224, 2012.
  • 8S. M. Amin and B. F. Wollenberg, Toward a smart grid: Power delivery for the 21st century, Power and Energy Magazine, 1EEE, vol. 3, no. 5, pp. 34-41, 2005.
  • 9K. Moslehi and R. Kumar, A reliability perspective of the smart grid, Smart Grid, IEEE Transactions on, vol. 1, no. 1, pp. 57-64, 2010.
  • 10K. C. Budka, J. G. Deshpande, T. L. Doumi, M. Madden, and T. Mew, Communication network architecture and design principles for smart grids, Bell Labs Technical Journal, vol. 15, no. 2, pp. 205-227, 2010.

同被引文献35

  • 1韩英铎,王仲鸿,林孔兴,杨永康,黄其励,蒋建民.电力系统中的三项前沿课题——柔性输电技术,智能控制,基于 GPS 的动态安全分析与监测系统[J].清华大学学报(自然科学版),1997,37(7):1-6. 被引量:72
  • 2韩英铎,余贻鑫,黄其励,等.第13章:能源互联网,中国战略性新兴产业发展报告2015[R].北京:中国工程院,2015.
  • 3Cao J W, Yang M B. Energy intemet - towards smart grid 2.0[C]//Proc. 4th Int. Conf. on Networking and Distributed Computing, Hongkong, China, 2013: 105-110.
  • 4Wang JY, Meng K, Cao J W, et al. Electricity services based dependability model of power grid communication networking[J]. Tsinghua Science and Technology, Special Section on Smart Grid, 2014, 19(2): 121-132.
  • 5Wan Y X, Cao J W, Zhang S, et al. An integrated cyber-physical simulation environment for smart grid applications[J]. Tsinghna Science and Technology, Special Section on Smart Grid, 2014, 19(2): 133-143.
  • 6Yu M L, Rexford J, Freedman M J, et al. Scalable flow-based networking with DIFANE [C]// Special Interest Group on Data Communication, New Delhi, India, 2010.
  • 7Casado M, Freedman M J, Pettit J, et al. Ethane: taking control of the enterprise[C]// Special Interest Group on Data Communication, Kyoto, Japan, 2007.
  • 8Tootoonchian A, Gorbunov S, Ganjali Y, et al. On controller performance in soRware-defined networks[C]//USENIX Workshop on Hot Topics in Management of Intemet, Cloud, and Enterprise Networks and Services, San Jose, USA, 2012.
  • 9Gude N, Koponen T, Pettit J, et al. NOx: towards an operating system for networks[J]. ACM SIGCOMM Computer Communication Review, 2008,38(3): 105-110.
  • 10Cai Z, Cox A L, Ng T S E. Maestro: a system for scalable openflowcontrol[R]. Houston: Rice University, 2010.

引证文献3

二级引证文献187

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部