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Self-organized cyber physical power system blockchain architecture and protocol

Author

Listed:
  • Ting Yang
  • Feng Zhai
  • Jialin Liu
  • Meng Wang
  • Haibo Pen

Abstract

The state parameters of electrical equipment and power system control parameters are the key data to realize the precise control and cooperative autonomy of a cyber physical power system. The trustworthiness of the data is the primary condition to guarantee the electric power system’s safe and reliable operation. In the traditional centralized data acquisition and management architecture, the security and trustworthiness completely depend on the central main server. A small mistake in the main server will result in data loss, which is irreversible and fatal. Blockchain technique combines the dispersed data with mutual backup and retrieval mechanism, which guarantees that the data cannot be tampered with and forged privately. Based on the blockchain technology, this article proposes a novel data trustworthy acquisition model with high credibility, applied to a self-organized cyber physical power system. In order to overcome the long time-consuming process of building traditional blockchains, a new on-demand data transmission routing algorithm with M/M/1/k queuing model is proposed in this article. Different scales of IEEE standard bus systems are employed as experimental examples to evaluate the algorithm’s performance. The results show that the proposed algorithm can effectively shorten the time consumption of blockchain construction and realize the data trustworthiness of cyber physical power system.

Suggested Citation

  • Ting Yang & Feng Zhai & Jialin Liu & Meng Wang & Haibo Pen, 2018. "Self-organized cyber physical power system blockchain architecture and protocol," International Journal of Distributed Sensor Networks, , vol. 14(10), pages 15501477188, October.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:10:p:1550147718803311
    DOI: 10.1177/1550147718803311
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    References listed on IDEAS

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    1. Nazari-Heris, M. & Mohammadi-Ivatloo, B., 2015. "Application of heuristic algorithms to optimal PMU placement in electric power systems: An updated review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 214-228.
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