Skip to main content

Coal Mine Power Quality Assessment System Based on Improved Entropy Weight Method

  • Conference paper
  • First Online:
Proceedings of 2019 Chinese Intelligent Systems Conference (CISC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 594))

Included in the following conference series:

  • 941 Accesses

Abstract

This paper proposes an improved entropy weight method based on power quality comprehensive evaluation method. Firstly, the improved entropy method is used to determine the target weight, and the subjective weight of combination weighting is determined based on the scale expansion of analytic hierarchy process. The traditional entropy method in all entropy tend to be 1 of entropy with the information entropy, the entropy weight distribution unreasonable problems are corrected. Then, the method of combining probability statistics and fuzzy mathematics is used to evaluate power quality comprehensively. The analysis and calculation show that the result of the comprehensive evaluation system is more objective, perfect and practical.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover 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. Jiang Y, Li W, Zhao Y, Yu F (2015) Comprehensive evaluation of quality performance of power grid operation based on rough set and evidence theory. Power Syst Prot Control 43(13):1–7

    Google Scholar 

  2. Xueqian F, Chen Y, Jin X (2015) A comprehensive evaluation method for power quality of distributed power sources. Chin J Electr Eng 35(01):128–132

    Google Scholar 

  3. Ma C, Liu H, Gong W (2016) DPV power quality assessment based on improved entropy weight method. High Voltage Apparatus 52(05):192–198+204

    Google Scholar 

  4. Liao J, Zhou N, Wang Q, Li C, Wei Y (2018) Definition and correlation analysis of power quality index of DC distribution network. Chin J Electr Eng 38(23):6847–6860+7119

    Google Scholar 

  5. Li L, Liu J, Ling Y (2015) Comprehensive evaluation of power quality based on the combination of matter element theory and evidence theory. Trans China Electrotechnical Soc 30(12):383–391

    Google Scholar 

  6. Leilei S, Qingquan J, Haidong S (2019) Data-driven power quality partitioning governance strategy. Proc Chin Soc Electr Eng 39(04):992–1001

    Google Scholar 

  7. Xueqian F, Chen Y (2014) Comprehensive evaluation of power quality based on ideal solution. Electric Power Automation Equipment 34(04):26–30

    Google Scholar 

  8. Yin Y, Renjie W, Chang B (2018) Model and method of cloud evaluation service for complex power grid power quality knowledge. Power Autom Equipment 38(05):241–247

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingyan Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, J., Wang, Y., Yang, W. (2020). Coal Mine Power Quality Assessment System Based on Improved Entropy Weight Method. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 594. Springer, Singapore. https://doi.org/10.1007/978-981-32-9698-5_42

Download citation

Publish with us

Policies and ethics