Skip to main content
SpringerLink
Log in

A Virtual Communication Strategy for Smart Photovoltaic Generation Systems

  • Conference paper
  • First Online:
Smart Computing and Communication (SmartCom 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10135))

Included in the following conference series:

  • 2562 Accesses

Abstract

Renewable energy sources such as photovoltaic power generation is becoming a promising technology for modern computing and communication systems. Current power stations integrate multiple smart devices. Each of them uses a communication front-end computer to facilitate the data collection and transmission to the back-end servers. Compared to conventional power stations that use fossil fuel, the number of communication front-end computers in photovoltaic power station is nearly doubled, which causes maintenance and pricing issues. This paper presents a novel virtual communication strategy for smart photovoltaic power generation systems. We use serial port servers to replace communication front-end computers and establish a virtual communication channel to transparently manage communication. We implement the proposed communication strategy on a commercial photovoltaic power generation system. The experimental results show that the proposed strategy can reduce the costs by over 60% and achieve reliable performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wang, Y., Chen, R., Shao, Z., Li, T.: SolarTune: real-time scheduling with load tuning for solar energy powered multicore systems. In: 2013 IEEE 19th International Conference on Embedded and Real-Time Computing Systems and Applications, pp. 101–110 (2013)

    Google Scholar 

  2. Li, C., Zhang, W., Cho, C.B., Li, T.: SolarCore: solar energy driven multi-core architecture power management. In: 2011 IEEE 17th International Symposium on High Performance Computer Architecture, pp. 205–216 (2011)

    Google Scholar 

  3. Wang, Y., Liu, D., Qin, Z., Shao, Z.: Optimally removing intercore communication overhead for streaming applications on MPSoCs. IEEE Trans. Comput. 62(2), 336–350 (2013)

    Article  MathSciNet  Google Scholar 

  4. Wang, Y., Shao, Z., Chan, H.C.B., Liu, D., Guan, Y.: Memory-aware task scheduling with communication overhead minimization for streaming applications on bus-based multiprocessor system-on-chips. IEEE Trans. Parallel Distrib. Syst. 25(7), 1797–1807 (2014)

    Article  Google Scholar 

  5. Nijim, M., Qin, X., Qiu, M., Li, K.: An adaptive energy-conserving strategy for parallel disk systems. Future Gener. Comput. Syst. 29(1), 196 (2013)

    Article  Google Scholar 

  6. Qiu, M., Chen, L., Zhu, Y., Hu, J., Qin, X.: Online data allocation for hybrid memories on embedded tele-health systems. In: 2014 IEEE International Conference on High Performance Computing and Communications (HPCC 2014), pp. 574–579 (2014)

    Google Scholar 

  7. Wang, J., Qiu, M., Guo, B.: High reliable real-time bandwidth scheduling for virtual machines with hidden markov predicting in telehealth platform. Future Gener. Comput. Syst. 49(C), 68 (2015)

    Article  Google Scholar 

  8. Li, X., Xiao, L., Qiu, M., Dong, B., Ruan, L.: Enabling dynamic file I/O path selection at runtime for parallel file system. J. Supercomput. 68(2), 996 (2014)

    Article  Google Scholar 

  9. Guan, Y., Wang, G., Wang, Y., Chen, R., Shao, Z.: BLog: block-level log-block management for NAND flash memorystorage systems. SIGPLAN Not. 48(5), 111–120 (2013)

    Article  Google Scholar 

  10. Wang, Y., Liu, D., Qin, Z., Shao, Z.: An endurance-enhanced flash translation layer via reuse for NAND flash memory storage systems. In: 2011 Design, Automation Test in Europe, pp. 14–19 (2011)

    Google Scholar 

  11. Huang, M., Liu, Z., Qiao, L., Wang, Y., Shao, Z.: An endurance-aware metadata allocation strategy for MLC NAND flash memory storage systems. IEEE Trans. Comput. Aided Des. Integr. Circ. Syst. 35(4), 691–694 (2015)

    Article  Google Scholar 

  12. Zhang, Q., Li, X., Wang, L., Zhang, T., Wang, Y., Shao, Z.: Lazy-RTGC: a real-time lazy garbage collection mechanism with jointly optimizing average and worst performance for NAND flash memory storage systems. ACM Trans. Des. Autom. Electron. Syst. 20(3), 43:1 (2015)

    Article  Google Scholar 

  13. Chen, R., Qin, Z., Wang, Y., Liu, D., Shao, Z., Guan, Y.: On-demand block-level address mapping in large-scale NAND flash storage systems. IEEE Trans. Comput. 64(6), 1729–1741 (2015)

    MathSciNet  Google Scholar 

  14. Chen, R., Wang, Y., Hu, J., Liu, D., Shao, Z., Guan, Y.: Unified non-volatile memory and NAND flash memory architecture in smartphones. In: 2015 20th Asia and South Pacific Design Automation Conference (ASP-DAC 2015), pp. 340–345 (2015)

    Google Scholar 

  15. Qiu, M., Ming, Z., Li, J., Gai, K., Zong, Z.: Phase-change memory optimization for green cloud with genetic algorithm. IEEE Trans. Comput. 64(12), 3528 (2015)

    Article  MathSciNet  Google Scholar 

  16. Zhao, M., Jiang, L., Shi, L., Zhang, Y., Xue, C.: Wear relief for high-density phase change memory through cell morphing considering process variation. IEEE Trans. Comput. Aided Des. Integr. Circ. Syst. 34(2), 227 (2015)

    Article  Google Scholar 

  17. Pan, C., Xie, M., Hu, J., Qiu, M., Zhuge, Q.: Wear-leveling for PCM main memory on embedded system via page management and process scheduling. In: 2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), pp. 1–9 (2014)

    Google Scholar 

  18. Li, J., Shi, L., Li, Q., Xue, C.J., Chen, Y., Xu, Y.: Cache coherence enabled adaptive refresh for volatile STT-RAM. In: Proceedings of Design, Automation Test in Europe Conference Exhibition (DATE 2013), pp. 1247–1250 (2013)

    Google Scholar 

  19. Wang, Y., Shao, Z., Chan, H., Bathen, L., Dutt, N.: A reliability enhanced address mapping strategy for three-dimensional (3-D) NAND flash memory. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 22(11), 2402 (2014)

    Article  Google Scholar 

  20. Wang, Y., Zhang, M., Dong, L., Yang, X.: A thermal-aware physical space allocation strategy for 3D flash memory storage systems. In: Proceedings of the 2016 International Symposium on Low Power Electronics and Design, ISLPED 2016, pp. 290–295. ACM, New York (2016)

    Google Scholar 

  21. Liu, M., Liu, D., Wang, Y., Wang, M., Shao, Z.: On improving real-time interrupt latencies of hybrid operating systems with two-level hardware interrupts. IEEE Trans. Comput. 60(7), 978–991 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The work described in this article is partially supported by the grants from National Natural Science Foundation of China (61502309), Guangdong Natural Science Foundation (2014A030313553, 2013B090500055, 2014A030310269 and 2016A030313045), Shenzhen Science and Technology Foundation (JCYJ20150529164656096 and JCYJ20150525 092941059), and Natural Science Foundation of SZU (701-000360055905, 701-00037134, and 827-000073).

Author information

Authors and Affiliations

  1. Experimental and Innovation Practice Center, Harbin Institute of Technology, Shenzhen, 518055, China

    Jing Yang

  2. State Grid Electric Power Research Institute, Shenzhen Branch, Shenzhen, 518054, China

    Hui Liao & Yang Yu

  3. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, 518060, China

    Jing Chen & Yi Wang

Authors
  1. Jing Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hui Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jing Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yang Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yi Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yi Wang .

Editor information

Editors and Affiliations

  1. Pace University, New York, New York, USA

    Meikang Qiu

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Yang, J., Liao, H., Chen, J., Yu, Y., Wang, Y. (2017). A Virtual Communication Strategy for Smart Photovoltaic Generation Systems. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52015-5_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52014-8

  • Online ISBN: 978-3-319-52015-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation