Skip to main content

Application of Chain P Systems with Promoters in Power Coordinated Control of Multi-microgrid

  • Conference paper
  • First Online:
Bio-Inspired Computing: Theories and Applications (BIC-TA 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1565))

Abstract

In view of the mobile energy storage characteristic and random dispersion of electric vehicles, the coordination and optimization of electric vehicles combined with distributed generation units are conducive to achieve the economical and reliable operation of multi-microgrid. In this paper, a multi-microgrid system with electric vehicles is established, and its power coordinated control is researched. Based on the characteristics of electric vehicles and multi-microgrid, a chain P system with promoters (PCPS) is proposed to describe the complex structure and a large amount of uncertain information of multi-microgrid. At the same time, its internal rules are set. Finally, a multi-microgrid system with two sub-microgrids is considered for reasoning test. The simulation results show that the proposed power coordinated control method based on PCPS are feasible and effective.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
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. Păun, G.: Computing with membranes. J. Comput. Syst. Sci. 61(1), 108-C143 (2000)

    Article  MathSciNet  Google Scholar 

  2. Zhang, G., et al.: Membrane Computing Models: Implementations. Springer, Singapore (2021). https://doi.org/10.1007/978-981-16-1566-5

    Book  Google Scholar 

  3. Zhao, Y., Zhang, W., Sun, M., et al.: An improved consensus clustering algorithm based on cell-like p systems with multi-catalysts. IEEE Access 99(1), 106934 (2020)

    Google Scholar 

  4. Song, B., Li, K., Orellana-Martín, D., et al.: Cell-like p systems with evolutional symport/Antiport rules and membrane creation. Inf. Comput. 275, 104542 (2020)

    Google Scholar 

  5. Peng, H., Wang, J., Shi, P., et al.: Fault diagnosis of power systems using fuzzy tissue-like p systems. Integr. Comput. Aided Eng. 24(4), 401–411, 104542 (2017)

    Google Scholar 

  6. Luo, Y., Guo, P., Jiang, Y., et al.: Timed homeostasis tissue-like p systems with evolutional symport/Antiport rules. IEEE Access 8(1–1), 104542 (2020)

    Google Scholar 

  7. Wu, T., Zhang, L., Pan, L.: Spiking neural p systems with target indications. Theor. Comput. Sci. 862, 250–261, 104542 (2020)

    Google Scholar 

  8. Wang, J., Peng, H., Yu, W., et al.: Interval-valued fuzzy spiking neural p systems for fault diagnosis of power transmission networks. Eng. Appl. Artif. Intell. 82(6), 102–109, 104542 (2019)

    Google Scholar 

  9. Luan, J., Liu, X.: A variant of p system with a chain structure. J. Inf. Comput. Sci. 10(10), 3189–3197, 104542 (2013)

    Google Scholar 

  10. Jie, X., Liu, X.: Communication p system with oriented chain membrane structures and applications in graph clustering. J. Comput. Theor. Nanosci. 13(7), 4198–4210, 104542 (2016)

    Google Scholar 

  11. Luo, J., Wang, J., Shi, P., et al.: Micro-grid economic operation using genetic algorithm based on p systems. ICIC Exp. Lett. 9(2), 609–618, 104542 (2015)

    Google Scholar 

  12. Wang, J., Chen, K., Li, M., et al.: Cell-like fuzzy p system and its application in energy management of micro-grid. J. Comput. Theor. Nanosci. 13(6), 3643–3651, 104542 (2016)

    Google Scholar 

  13. Yu, W., Wang, J., Tao, W., et al.: Distributed fuzzy p systems with promoters and their application in power balance of multi-microgrids. In: International Conference on Bio-inspired Computing: Theories and Applications, pp. 329–342 (2017)

    Google Scholar 

  14. Wang, C., Zhang, G., Chen, S., et al.: Bilevel energy optimization for grid-connected AC multimicrogrids. Int. J. Electr. Power Energy Syst. 130(1), 106934 (2021)

    Google Scholar 

  15. Tang, W., Qin, H.: Multi-Microgrid Optimal Scheduling Considering Electric Vehicle Participation. IEEE (2020)

    Google Scholar 

  16. Ping, G., Xie, J.: AP system for k-medoids-based clustering. Int. J. Adv. Comput. Sci. Appl. 9(10), 41–48, 106934 (2018)

    Google Scholar 

  17. Song, B., Pan, L.: The computational power of tissue-like p systems with promoters. Theor. Comput. Sci. 641, 43–52, 106934 (2016)

    Google Scholar 

  18. Yan, S., Xue, J., Liu, X.: An improved quicksort algorithm based on tissue-like p systems with promoters. In: Hinze, T., Rozenberg, G., Salomaa, A., Zandron, C. (eds.) CMC 2018. LNCS, vol. 11399, pp. 258–274. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-12797-8_18

Download references

Acknowledgment

This work was partially supported by the National College Student Innovation and Entrepreneurship Training Program Project (No. 202111116014 and No. 202111116022) and the Sichuan Key Laboratory Project of artificial intelligence (No. 2021RYY05).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jieping Wu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yu, W., Chen, F., Wu, J., Xiao, X., Pu, H. (2022). Application of Chain P Systems with Promoters in Power Coordinated Control of Multi-microgrid. In: Pan, L., Cui, Z., Cai, J., Li, L. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2021. Communications in Computer and Information Science, vol 1565. Springer, Singapore. https://doi.org/10.1007/978-981-19-1256-6_31

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-1256-6_31

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-1255-9

  • Online ISBN: 978-981-19-1256-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics