Comprehensive evaluation of power quality on CRITIC-TOPSIS method

被引：0
|
作者：
Lü Z.-P. [1 ]
Wu M. [1 ]
Song Z.-H. [1 ]
Zhao T. [1 ]
Du G. [2 ]
机构：
[1] China Electric Power Research Institute, Beijing
[2] School of Electric and Electronic Engineering, North China Electric Power University, Beijing
来源：
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2020年 / 24卷 / 01期
关键词：
Comprehensive evaluation; Evaluation indicators; Evaluation matrix; Power quality; Weight;
D O I：
10.15938/j.emc.2020.01.017
中图分类号：
学科分类号：
摘要：
A comprehensive evaluation method of CRTICI-TOPSIS was proposed in order to get more objective and accurate comprehen-sive evaluation results with comprehensively utilizing the information that contained in the various evaluation indicators of power quality. First of all, in this evaluation method the heterogeneity and correlations were considered comprehensively, and CRITIC weighting method was utilized to identify the weight of different evaluation index. Secondly, the evaluation object was combined with the power quality classification standard, and relative distance was used to improve the defect of relative proximity degree in TOPSIS (approximate ideal solution distance method), so that the comprehensive evaluation algorithm has higher applicability. The improved relative distance can not only rank the evaluation objects, but also determine the grade of evaluation objects. Finally, the data of power quality collected by five observation points of observatory were analyzed by example verification. The analysis results show that the comprehensive evaluation method of CRTICI-TOPSIS fully utilize that original data information with better rationality and applicability. The obtained evaluation results are objective and comprehensive with higher credibility. © 2020, Harbin University of Science and Technology Publication. All right reserved.
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页码：137 / 144
页数：7
相关论文
共 18 条
  • [1] Tao S., Xiao X., Infrastructure of the power quality assessment system of power systems, Transactions of China Electrotechnical Society, 25, 4, pp. 171-175, (2010)
  • [2] Zhao X., Zhao C., Jia X., Et al., Fuzzy synthetic evaluation of power quality based on changeable weight, Power Systems Technology, 29, 6, pp. 11-16, (2005)
  • [3] Kang S., Peng J., He Y., Comprehensive evaluation of power quality based on the integration of fuzzy analytic hierarchy process with multi-objective decision-making, Power Systems Technology, 33, 19, pp. 113-118, (2009)
  • [4] Liu J., Luo L., Zhang Z., Et al., Comprehensive evaluation of power quality based on fuzzy set pair analysis, Power Systems Technology, 36, 7, pp. 81-85, (2012)
  • [5] Li N., He Z., Power quality comprehensive evaluation combining subjective weight with objective weight, Power Systems Technology, 33, 6, pp. 55-61, (2009)
  • [6] Zhang M., Lin T., Cao J., Et al., Application of ideal interval method in power quality synthetic evaluation, Power Systems Technology, 33, 3, pp. 33-38, (2009)
  • [7] Li J., Li J., Yao J., Et al., Application of attribute recognition and G1-Entropy method in evaluation of power quality, Power Systems Technology, 33, 14, pp. 56-61, (2009)
  • [8] Liu J., Luo L., Zhang Z., Et al., A new method for power quality comprehensive evaluation considering the analysis of sequence stability, Proceedings of the CSEE, 33, 1, pp. 70-76, (2013)
  • [9] Li H., Guo S., Tang H., Et al., Comprehensive evaluation on power quality based on improved matter-element extension model with variable weight, Power Systems Technology, 37, 3, pp. 653-659, (2013)
  • [10] Jiang H., Zhang Q., Peng J., An improved cloud matter element model based wind farm power quality evaluation, Power Systems Technology, 38, 1, pp. 205-210, (2014)
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