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Open Access

Electricity Services Based Dependability Model of Power Grid Communication Networking

Department of Information and Communication, State Grid, Beijing 100031, China
Computer School, Beijing Information Science and Technology University, Beijing 100101, China
Research Institute of Information Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
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Abstract

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.

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Tsinghua Science and Technology
Pages 121-132

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Cite this article:
Wang J, Meng K, Cao J, et al. Electricity Services Based Dependability Model of Power Grid Communication Networking. Tsinghua Science and Technology, 2014, 19(2): 121-132. https://doi.org/10.1109/TST.2014.6787365

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Received: 18 March 2014
Revised: 20 March 2014
Published: 15 April 2014
© The author(s) 2014