scholarly journals Study of the Power Quality Comprehensive Evaluation Method

Author(s):  
Zhi-min ZHAN ◽  
Peng-fei CHAI ◽  
Bin LUO ◽  
Xing-bo LIU ◽  
Yuan-lin LI ◽  
...  
2013 ◽  
Vol 291-294 ◽  
pp. 1336-1345
Author(s):  
Shang Yuang Li

In order to assess the power quality objectively and effectively, a comprehensive evaluation method of power quality based on rough set and D-S evidence theory has been proposed in this paper. The method combines rough set theory by means of defining the decision-making strength and expansion rules and using the decision-making table to obtain the basic probability assignment of D-S evidence theory, then by applying the fusion rules of evidence theory to integrate the various indicators of power quality, the pros and cons of ordering from each power quality evaluations can be obtained to achieve a comprehensive evaluation of power quality. The examples show that the results of power quality evaluation are more objective and rational by using this method. So it can prove the correctness and superiority of this method.


2013 ◽  
Vol 325-326 ◽  
pp. 632-636 ◽  
Author(s):  
Jin Jing Yuan ◽  
Sen Ouyang ◽  
Jin Liang Jiang

A dynamic comprehensive evaluation method of power quality based on incentive and punishment mechanism is proposed. At the beginning, the index system is designed and unified. Next, the incentive and punishment mechanism model of each index is established. Then, the vertical and horizontal scatter degree method and minimal variability theory are applied to calculate the comprehensive evaluation value of all the indices on every time period and on the whole time series respectively. Finally, the realistic example demonstrates that this method can easily differentiate the quality of different evaluation objects.


2013 ◽  
Vol 732-733 ◽  
pp. 1308-1313
Author(s):  
Xiu Fang Jia ◽  
Kai She ◽  
Shen Mao Huang ◽  
Jing Hua Ma

This paper uses Multi-index to assess regional power quality comprehensively. This paper introduces genetic projection pursuit method on power quality comprehensive evaluation. Without human intervention, this method overcomes the traditional power quality comprehensive evaluation method is influenced by subjective factors. Based on this, we put forward improved genetic projection pursuit algorithm. In the process of projection pursuit model and in the field data, changing the maximum normalized to normalization of national standard limit. According to the field experiment data in QingHai province, we assess the results by analysis and comparison with the original method. The improved method is more accurate on power quality comprehensive assessment.


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