Skip to main content

Micro-grid System in Auxiliary Power System of Substation

  • Conference paper
  • First Online:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

  • 2266 Accesses

Abstract

This paper analyzes and summarizes the operation of conventional power and proposed the station of micro-grid. Firstly, the paper introduces the structure of each part of the station with a micro-grid system and describes the role and function of each part of the power system. Then, the paper states the influence which the station of micro-grid affects to a network of distribution and summed up its own role. In the end, the paper discusses the research orientation on the station of micro-grid and the advantage of the station with micro-grid. Experiments show that when the traditional grid is in normal operation, the micro-grid connects the operation station and the substation system, and will disconnect from the grid when the power quality is not met. This paper implements intelligent and flexible control on the micro-electronic website and has formed a “plug and play” function on the micro-electronic website. This paper can also realize unattended substation, troubleshooting, automatic mode conversion and so on.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Zhang, D., Yuan, Y., Mao, M.: Key technologies for micro-grids being researched. Power Syst. Technol. 33, 6–11 (2009)

    Google Scholar 

  2. Hatziargyriou, N., Asano, H., Iravani, R.: Microgrids. IEEE Power Energ. Mag. 5, 78–94 (2007)

    Article  Google Scholar 

  3. Zhang, X.: Emergency power supply configuration analysis and suggestion of wind-PV-ES power station. Electr. Power Energy 34(4), 412–417 (2013)

    Google Scholar 

  4. Yang, Q., Ma, S., Song, Y.: Comprehensive valuation of distributed generation planning scheme. Power Syst. Technol. 36, 212–216 (2013)

    Google Scholar 

  5. Ding, M., Wang, W., Wang, X.: A review on effect of large-scale PV generation on power. Proc. CSEE 34, 1–14 (2014)

    Google Scholar 

  6. Chen, W., Ai, X., Wu, T.: Influence of grid-connected photovoltaic system on power network. Electr. Power Equipment 32, 26–32 (2013)

    Google Scholar 

  7. Liu, W.: Discussion on application prospect of new energy as station-use electric source in converter station. East China Electr. Power 38, 1712–1713 (2010)

    Google Scholar 

  8. Bie, Z., Li, G., Wang, X.: Review on reliability evaluation of new distribution system with micogrid. Electr. Power Autom. Equipment 31, 1–6 (2011)

    Google Scholar 

  9. Ding, M., Zhang, Y., Mao, M.: Economic operation optimization for microgrids including Na/S battery storage. Proc. CSEE 31, 7–14 (2014)

    Google Scholar 

  10. Tsikalakis, A., Hatziargyriou, A.: Centralized control for optimizing micro-grids operation. IEEE Trans. Energy Convers. 23, 241–248 (2008)

    Article  Google Scholar 

  11. Frangioni, A., Gentile, C., Lacalandraf, F.: Tighter approximated MILD formulations for unit commitment problems. Trans. Power Syst. 24, 105–113 (2004)

    Article  Google Scholar 

  12. Wang, S.: Design and operation of micro-grid based on distributed generations. Electr. Power Autom. Equipment 31, 120–123 (2011)

    Google Scholar 

  13. Anderson, R., Boulanger, A., Powell, W.: Adaptive stochastic control for the smart. Proc. IEEE 99, 1098–1115 (2011)

    Article  Google Scholar 

  14. Lu, H., He, B.: Application of the super-capacitor a micro-grid. Autom. Electr. Power Syst. 32, 87–91 (2009)

    Google Scholar 

  15. Wang, Q., Xie, G., Zhang, L.: An integrated generation consumption dispatch model with wind power. Autom. Electr. Power Syst. 35, 15–18 (2011)

    Google Scholar 

  16. MohamedRafi, A., Manikandan: Improving data reliability and integration in cloud using PRCR. Int. J. Softw. Eng. Smart Device, 3(2), 1–20 (2016)

    Google Scholar 

  17. Pramodkumar, K., Munot, H., Malathi, P.: Survey on computational intelligence based routing protocols in wireless sensor network. Int. J. Wireless Mob. Commun. Ind. Syst. 3(2), 23–32 (2016)

    Google Scholar 

  18. Jin, J.H., Koo, H.S., Lee, M.J.: Extending BSmart to support Beacon receivers sending context information. Int. J. Web Sci. Eng. Smart Devices 3(2), 1–6 (2016)

    Google Scholar 

  19. Yun, J.S., Kim, J.H.: A study on training data selection method for EEG emotion analysis using machine learning algorithm. Int. J. Adv. Sci. Technol. 119, 79–88 (2018)

    Article  Google Scholar 

  20. Cherkaoui, H., Omar, D.A., Baslam, M., Fakir, M.: Cache replacement algorithm based on popularity prediction in content delivery networks. Int. J. Adv. Sci. Technol. 122, 35–48 (2019)

    Article  Google Scholar 

  21. Liu, Y.T., Hu, J.J.: Obstacle avoidance with formation kept for multi-agent. Int. J. Control Autom. 8(3), 67–74 (2015)

    Article  Google Scholar 

  22. Zhang, F., Liu, C., Wei, Y.S., Liu, C.: Data service hyperlink and its application in automatic data service composition. Int. J. Grid Distrib. Comput. 10(2), 37–50 (2017)

    Article  Google Scholar 

  23. Yao, J.R., Wei, M.X.: A new bionic architecture of information system security based on data envelopment analysis. Int. J. Secur. Appl. 9, 85–98 (2015)

    Google Scholar 

  24. Li, T.S., Guo, C.X., Ge, Z.H.: Study of topology optimization algorithm of wireless mesh backbone networks based on directional antenna. Int. J. Future Gener. Commun. Networking 9(9), 25–34 (2016)

    Article  Google Scholar 

  25. Yang, H.Y., Tu, Y.Q., Zhang, H.T., Li, M.: Phase difference measurement based on recursive DFT with spectrum leakage considered. Int. J. Signal Process. 8(11), 55–66 (2015)

    Google Scholar 

  26. Lin, Y., Yu, X.W., Ma, C.G., Zheng, D., Wu, Z.Q., Zhang, Z.P.: Genetic analysis of generalized S-transform. Int. J. u- e- Serv. Sci. Technol. 9(4), 27–38 (2016)

    Google Scholar 

  27. Wu, G.H., Li, S., Han, L., Zhao, M.M.: CHI statistical text feature selection method based on information entropy optimization. Int. J. Database Theory Appl. 9(11), 61–70 (2016)

    Article  Google Scholar 

  28. Pandey, S., Mahapatra, R.P.: An adaptive gravitational search routing algorithm for channel assignment based on WSN. Int. J. Sens. Appl. Control Syst. 5(1), 1–14 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peng Jin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jin, P. (2020). Micro-grid System in Auxiliary Power System of Substation. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_101

Download citation

Publish with us

Policies and ethics