Optimal communication frequency for switching cabled ocean networks with commands carried over the power line

  • Yan-hu ChenEmail author
  • Yu-jia Zang
  • Jia-jie Yao
  • Gul Muhammad


Cabled ocean networks with tree or ring topologies play an important role in real-time ocean exploration. Due to the time-consuming need for field maintenance, cable switching technology that can actively switch the power on/off on certain branches of the network becomes essential for enhancing the reliability and availability of the network. In this paper, a novel switching-control method is proposed, in which we invert the power transmission polarity and use the current on the power line as the digital signal at low frequency to broadcast information with the address and commands to the network, and the corresponding branching unit (BU) can decode and execute the switching commands. The cable’s parasitic parameters, the network scale, and the number of BUs, as the influencing factors of the communication frequency on the power line, are theoretically studied and simulated. An optimized frequency that balances the executing accuracy and rate is calculated and proved on a simulated prototype. The results showed that the cable switching technology with optimized frequency can enhance the switching accuracy and configuring rate.

Key words

Cable switching Cabled ocean network Branching unit Transmission line theory Communication frequency 

CLC number



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The authors would like to thank Zhongtian Technology Submarine Cable Co., Ltd., for suggestions and providing the parameters of the submarine cable.

Compliance with ethics guidelines

Yan-hu CHEN, Yu-jia ZANG, Jia-jie YAO, and Gul MUHAMMAD declare that they have no conflict of interest.


  1. Aguzzi J, Mànuel A, Condal F, et al., 2011. The new seafloor observatory (OBSEA) for remote and long-term coastal ecosystem monitoring. Sensors, 11(6):5850–5872. CrossRefGoogle Scholar
  2. Araújo ARJ, Silva RC, Kurokawa S, 2014. Comparing lumped and distributed parameters models in transmission lines during transient conditions. IEEE PES T&D Conf and Exposition, p. 1–5. Google Scholar
  3. Barnes CR, Best MMR, Johnson FR, et al., 2013. Challenges, benefits, and opportunities in installing and operating cabled ocean observatories: perspectives from NEPTUNE Canada. IEEE J Ocean Eng, 38(1):144–157. CrossRefGoogle Scholar
  4. Chan T, Liu CC, Howe BM, et al., 2007. Fault location for the NEPTUNE power system. IEEE Trans Power Syst, 22(2): 522–531. CrossRefGoogle Scholar
  5. Chen YH, Yang CJ, Li DJ, et al., 2013. Study on 10 kVDC powered junction box for a cabled ocean observatory system. China Ocean Eng, 27(2):265–275. CrossRefGoogle Scholar
  6. Chen YH, Howe BM, Yang CJ, 2015. Actively controllable switching for tree topology seafloor observation networks. IEEE J Ocean Eng, 40(4):993–1002. CrossRefGoogle Scholar
  7. El-Sharkawi MA, Upadhye A, Lu S, et al., 2005. North east pacific time-integrated undersea networked experiments (NEPTUNE): cable switching and protection. IEEE J Ocean Eng, 30(1):232–240. CrossRefGoogle Scholar
  8. Hishiki K, Fujiwara N, Katayama T, et al., 2016. Power distribution system for multidisciplinary seafloor observatory junction box. Techno-Ocean, p. 325–328. Google Scholar
  9. Hsiao NC, Lin TW, Hsu SK, et al., 2014. Improvement of earthquake locations with the Marine Cable Hosted Observatory (MACHO) offshore NE Taiwan. Mar Geophys Res, 35(3):327–336. CrossRefGoogle Scholar
  10. Hsu SK, Lee CS, Shin TC, et al., 2007. Marine Cable Hosted Observatory (MACHO) project in Taiwan. Int Symp on Underwater Technology and Workshop on Scientific Use of Submarine Cables and Related Technologies, p. 305–307. Google Scholar
  11. Kawaguchi K, Kaneda Y, Araki E, 2008. The DONET: a real-time seafloor research infrastructure for the precise earthquake and tsunami monitoring. MTS/IEEE Kobe Techno-Ocean, p. 1–4. Google Scholar
  12. Kawaguchi K, Araki E, Kogure Y, et al., 2013. Development of DONET2-off Kii chanel observatory network. IEEE Int Underwater Technology Symp, p. 1–5. Google Scholar
  13. Liao Y, 2009. Some algorithms for transmission line parameter estimation. 41st Southeastern Symp on System Theory, p. 127–132. Google Scholar
  14. Lu S, Shuai L, 2006. Infrastructure, Operations, and Circuits Design of an Undersea Power System. PhD Thesis, University of Washington, Seattle, USA.Google Scholar
  15. Ma SC, Xu BY, Bo ZQ, et al., 2009. The research on lumped parameter equivalent circuit of transmission line. 8th Int Conf on Advances in Power System Control, Operation and Management, p.194. Google Scholar
  16. Meng H, Chen S, Guan YL, et al., 2004. Modeling of transfer characteristics for the broadband power line communication channel. IEEE Trans Power Del, 19(3):1057–1064. CrossRefGoogle Scholar
  17. Qu FZ, Wang ZD, Song H, et al., 2015. A study on a cabled seafloor observatory. IEEE Intell Syst, 30(1):66–69. CrossRefGoogle Scholar
  18. Righini D, Passerini F, Tonello AM, 2018. Modeling transmission and radiation effects when exploiting power line networks for communication. IEEE Trans Electromagn Compat, 60(1):59–67. CrossRefGoogle Scholar
  19. Schneider K, Liu CC, 2005. Topology error identification for the NEPTUNE power system using an artificial neural network. IEEE PES Power Systems Conf and Exposition, p. 94–99. Google Scholar
  20. Sheng H, Li Y, Chen YQ, 2011. Application of numerical inverse Laplace transform algorithms in fractional calculus. J Franklin Inst, 348(2):315–330. MathSciNetCrossRefGoogle Scholar
  21. Song YJ, Breitholtz C, 2016. Nyquist stability analysis of an AC-grid connected VSC-HVDC system using a distributed parameter DC cable model. IEEE Trans Power Del, 31(2):898–907. CrossRefGoogle Scholar
  22. Sun H, Jin ZJ, Kim MG, et al., 2011. Equivalent-circuit modeling for multilayer capacitors based on coupled transmission-line theory. IEEE Trans Compon Pack Manuf Technol, 1(5):731–741. CrossRefGoogle Scholar
  23. Zhang F, Chen YH, Li DJ, et al., 2015. A double-node star network coastal ocean observatory. Mar Technol Soc J, 49(1):59–70. CrossRefGoogle Scholar
  24. Zhang ZF, Chen YH, Li DJ, et al., 2018. Use of a coded voltage signal for cable switching and fault isolation in cabled seafloor observatories. Front Inform Technol Electron Eng, 19(11):1328–1339. CrossRefGoogle Scholar

Copyright information

© Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.State Key Laboratory of Fluid Power and Mechatronic SystemsZhejiang UniversityHangzhouChina

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