DocumentCode :
3253654
Title :
Fuzzy evaluation of power supplying capability of Kunming city grid considering entropy weighting
Author :
Hongchun, Shu ; Shiyun, Sun ; Gefei, Qiu ; Zongbin, Liu ; Zejiang, Hu
Author_Institution :
Sch. of Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
fYear :
2010
fDate :
14-17 June 2010
Firstpage :
604
Lastpage :
608
Abstract :
The conclusion draws from traditional power supplying capability evaluation method can not reflect the actual supplying capability of gridby quantitative index, so evaluating the overall power supplying capability by means of fuzzy method has its advantage. Fuzzy analysis method has been employed to create a city gridpower supplying evaluating model in respect of the reality of power supplying condition of KunMing network, in which weighting is assigned by effect value of data reflected by information entropy to avoid the influence of subjective elements in weighting assigning. Seven elements which reflect the power supplying capability of KunMing grid objectively and comprehensively have been chose to construct corresponding membership degree function curve according to their different reflecting dimensionalities of power supplying capability, then the membership degree value of each elements is deduced. Each of the seven evaluating elements is judged to obtain quantitative fuzzy evaluating results, and then these 7 elements are combined to judge the power supplying capability synthetically to derive the fuzzy evaluating result of power supplying capability of KunMing network.
Keywords :
electricity supply industry; fuzzy set theory; power grids; Fuzzy evaluation; Kunming city grid; entropy weighting; fuzzy analysis method; gridby quantitative index; power supplying capability; Cities and towns; Frequency conversion; Information analysis; Information entropy; Power engineering and energy; Power grids; Power supplies; Statistical analysis; Substations; Sun; City power Grid; Entropy Weighting; Fuzzy Evaluation; Power Supplying Capability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Probabilistic Methods Applied to Power Systems (PMAPS), 2010 IEEE 11th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5720-5
Type :
conf
DOI :
10.1109/PMAPS.2010.5529010
Filename :
5529010
Link To Document :
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