DocumentCode :
637400
Title :
Research of fuzzy synthetic evaluation method of power quality based on improved membership function
Author :
Ding Ze-jun ; Yuan Jin-jing ; Huang Rui-yi ; Ouyang Sen ; Duan Yi-hong ; Dong Xu-zhu ; Zeng Jiang
Author_Institution :
China Southern Power Grid Co., Ltd., Guangzhou, China
fYear :
2012
fDate :
18-20 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
The establishment of membership function in synthetic evaluation of power quality is taken to discussion. This paper proposes an improved membership function for power quality fuzzy synthetic evaluation. First, the weight of power quality indicators and the confirmation of indicator limit of membership function as well as the division of quality level are deeply analyzed. Then, on the basic of evaluation indicators quality level, the traditional ridge-shaped function is improved to construct the membership function. At the same time, the fuzzy model of power quality indicators is built on this foundation. In the end, an example is given to evaluate the quality of 33 feed lines belongs to Guangzhou power grid; the result demonstrates the practicability and effectiveness of this method.
Keywords :
fuzzy set theory; power grids; power supply quality; Guangzhou power grid; improved membership function; power quality fuzzy synthetic evaluation; power quality indicators; ridge-shaped function; Educational institutions; Power grids; Power quality; Standards; Substations; Total harmonic distortion; Voltage fluctuations; fuzzy synthetic evaluation; membership function; power quality; s;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1599-0
Type :
conf
DOI :
10.1109/PEAM.2012.6612484
Filename :
6612484
Link To Document :
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