DocumentCode :
2854152
Title :
Optimal selection of location for Distributed Generations to ensure a competitive advantage using fuzzy analytical network process
Author :
Montazeri, M. ; Owlia, M.S. ; Moghimi, A. ; Kamalzadeh, M.
Author_Institution :
Dept. of Ind. & Syst. Eng., Mazandaran Univ. of Sci. & Technol., Mazandaran, Iran
fYear :
2011
fDate :
6-9 Dec. 2011
Firstpage :
544
Lastpage :
548
Abstract :
Population and industry growth has increased power consumption and consequently development of new power generators is inevitable in country. Costs of high production and transfer for large-scale power stations, has attracted new attentions to Distributed Generations (DGs) in recent years. With considering the capacity and location of these units, significant improvements on the distribution networks could be gained, although their miss-allocation will increase the network losses and transmission and distribution costs. This paper was aimed at prioritizing suitable places for the construction of the DGs in Yazd province in Iran. The ANP method was selected as decision making model because of the interrelationship between the criteria and also because the levels of decision could not be considered independently. Besides, as human judgments have fuzzy nature, the analysis was performed using fuzzy numbers. The criteria, sub-criteria and alternatives were specified by using the ideas of managers and experts in Yazd Power Distribution Company.
Keywords :
distributed power generation; distribution networks; fuzzy set theory; power consumption; ANP method; DG; Iran; Yazd power distribution company; distributed generations; distribution costs; distribution networks; fuzzy analytical network process; large-scale power stations; network losses; optimal selection; power consumption; power generators; transmission costs; Cogeneration; Decision making; Distributed power generation; Generators; Power systems; Vectors; Distributed Generation; Fuzzy ANP; Location selection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location :
Singapore
ISSN :
2157-3611
Print_ISBN :
978-1-4577-0740-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2011.6117976
Filename :
6117976
Link To Document :
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