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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
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
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
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
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
Leilei S, Qingquan J, Haidong S (2019) Data-driven power quality partitioning governance strategy. Proc Chin Soc Electr Eng 39(04):992–1001
Xueqian F, Chen Y (2014) Comprehensive evaluation of power quality based on ideal solution. Electric Power Automation Equipment 34(04):26–30
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
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
DOI: https://doi.org/10.1007/978-981-32-9698-5_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9697-8
Online ISBN: 978-981-32-9698-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)