Traction substation power signal characteristics and transient power quality evaluation method

Author(s):  
Wenli Chen ◽  
Kaitao Peng ◽  
Chao Yang ◽  
Yao Wang ◽  
Zhihong Fu
2019 ◽  
Vol 107 (5) ◽  
pp. 792-807 ◽  
Author(s):  
Jinxin Chen ◽  
Guobing Pan ◽  
Jing Ouyang ◽  
Libin Zhang

2014 ◽  
Vol 1030-1032 ◽  
pp. 1403-1406 ◽  
Author(s):  
Gang Zhang ◽  
Fu Chao Liu ◽  
Tuo Xie ◽  
Jing Jing Zheng

As for the pricing by electrical energy quality and the decision of rewards and penalties based on the examination at assessment point, Comprehensive evaluation on power quality is one of the principal foundations. To analysis and evaluate electric power quality for electric power company is a focus research at present. In this paper, the power quality evaluation model based on the matter-element extension theory is applied to power quality evaluation service. For power quality evaluation system of the characteristics of the complexity and incompatibility between various indicators hierarchies, this paper applied the theory of matter-element extension constructing Matter-element model, and identified level of power quality of power supply company through the calculation of weight and the correlation service. Taking GanSu Grid Company as an example to evaluate power supply quality, the results show that the evaluation results of power quality evaluation method based on the matter-element evaluation method are more objective, more precise and more reasonable.


2015 ◽  
Vol 9 (1) ◽  
pp. 160-165 ◽  
Author(s):  
Ni Fuyin ◽  
Li Zhengming ◽  
Pan Tianhong

Aiming at the nonlinear relationship between the evaluation indexes and the complex grade of power quality, a power quality evaluation method is proposed based on model of pulse coupled neural network (PCNN). The operating schematic is analyzed according to PCNN modeling. The input power quality grade is controlled by threshold value, and the evaluation grade is output by neuron ignition. The evaluation methods between PCNN and fuzzy neural network are compared through the measured data, the results indicate that PCNN method is more scientific and accurate, and provides a new method to solve the problem on power quality evaluation of distribution network containing microgrid.


2021 ◽  
Vol 1820 (1) ◽  
pp. 012005
Author(s):  
Yu Liu ◽  
Junde Liu ◽  
Bo Yang ◽  
Liaoyi Ning ◽  
Xiangbo Zhu ◽  
...  

2013 ◽  
Vol 32 (3) ◽  
pp. 710-714
Author(s):  
Jin-jin WEI ◽  
Su-mei LI ◽  
Wen-juan LIU ◽  
Yan-jun ZANG

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