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A Fuzzy Comprehensive Evaluation Model of Power Quality Based on Normal Cloud Model

Published: 19 September 2018 Publication History

Abstract

Objective and accurate comprehensive evaluation on power quality is an important evidence for power pricing and power quality assessment. Considering the shortcomings existing in the current methods, a fuzzy comprehensive evaluation model of power quality based on normal cloud model is proposed. The normal cloud model is introduced to improve the membership function, and the normal cloud models on grade demarcation of power quality are established so that the fuzzy relation matrix is obtained. Entropy weight method is used to determine the weight of the evaluation indicators. In order to get the comprehensive evaluation grade of power quality, the unsymmetrical proximity criterion is used to analyze the fuzzy comprehensive vector which calculated by weight matrix and the fuzzy relation matrix. Finally, the accuracy and effectiveness of the proposed method are verified by a practical example.

References

[1]
Xiao, X. Power quality analysis and control. Beijing, China Electric Power Press. 2010: 1--7.
[2]
Hu, C., Du, S., Su, J., Tong, G. Preliminary research of trading approach and management modes of Chinese electricity retail companies under new electricity market reform. Power System Technology, 2016, 40(11): 3293--3299.
[3]
Sui, P., Liu, Z. The comprehensive assessment of power quality based on attributes recognition theory and AHP algorithm. Advanced Materials Research, 2014, 3530(1044).
[4]
Zhou, L., Li, Q., Liu, H., Zhang, F., Qu, Y. Evaluation of power quality by fuzzy artificial neural network. High Voltage Engineering, 2007, 33(9): 66--69.
[5]
Huang, J., Zhou, L., Li, Q. Evaluation of power quality based on the method of matter element. Journal of Chongqing University: Natural Science Edition, 2007, 30(6):25--29.
[6]
Tan, J., Huang, S. Research on synthetic evaluation method of power quality based on fuzzy theory. Relay, 2006, 34(3): 55--59.
[7]
Liu, J., Luo, L., Zhang, Z. Comprehensive evaluation of power quality based on fuzzy set pair analysis. Power System Technology, 2012, 36(7): 81--85.
[8]
Wang, G., Li, D., Yao, Y., Liang, J. Cloud model and particle calculation. Beijing: Science Press.2012: 4--21.
[9]
Wang, G., Xu, C., Li, D. Generic normal cloud model. Information Sciences, 2014, 280.
[10]
Zhang, M., Lin, T., Cao, J., Liu, L. Application of ideal interval method in comprehensive evaluation of power quality. Power System Technology, 2009, 33(03): 33--38.
[11]
Jing, F., Ying, W. Synthetic risk assessment of catastrophic failures in power system based on entropy weight method. Advanced Materials Research, 2012, 1615(446).
[12]
Zhang X. The definition of product about fuzzy comprehensive evaluation methods based on closeness. Journal of Shandong University: Natural Science, 2004, 39(2): 25--29.
[13]
Fu, X., Chen H. Comprehensive power quality evaluation based on weighted rank sum ration method. Electric Power Automation Equipment, 2015, 35(1): 128--132.

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  • (2022)Time Series Segmentation and Clustering Method Based on Cloud Model2022 12th International Conference on Information Science and Technology (ICIST)10.1109/ICIST55546.2022.9926837(153-160)Online publication date: 14-Oct-2022
  • (2020)Predicting Stock Market Trends for Japanese Candlestick Using Cloud ModelProceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)10.1007/978-3-030-44289-7_59(628-645)Online publication date: 24-Mar-2020

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  1. A Fuzzy Comprehensive Evaluation Model of Power Quality Based on Normal Cloud Model

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    cover image ACM Other conferences
    EEET '18: Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology
    September 2018
    246 pages
    ISBN:9781450365413
    DOI:10.1145/3277453
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 19 September 2018

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    Author Tags

    1. Asymmetric proximity criterion
    2. Entropy weight method
    3. Fuzzy comprehensive evaluation
    4. Normal cloud model
    5. Power quality

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    • (2022)Time Series Segmentation and Clustering Method Based on Cloud Model2022 12th International Conference on Information Science and Technology (ICIST)10.1109/ICIST55546.2022.9926837(153-160)Online publication date: 14-Oct-2022
    • (2020)Predicting Stock Market Trends for Japanese Candlestick Using Cloud ModelProceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020)10.1007/978-3-030-44289-7_59(628-645)Online publication date: 24-Mar-2020

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