DocumentCode :
680509
Title :
AHP-based prioritization of microgrid generation plans considering resource uncertainties
Author :
Mousavi-seyedi, Seyed Sina ; Aminifar, Farrokh ; Rahimikian, Ashkan ; Rezayi, Shafie
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
fYear :
2013
fDate :
17-18 Dec. 2013
Firstpage :
63
Lastpage :
68
Abstract :
The growing focus on the energy efficiency promotion, deployment of renewable energy resources, and serving the electricity in more reliable ways have recently resulted in a remarkable attention on microgrids. Among different electricity generation options available for a microgrid, the one compromising both technical and economical aspects is of a great desire. Taking into account the existing uncertainties associated with energy resources, this paper evaluates various distributed generation (DG) configuration plans for a microgrid using analytical hierarchical process (AHP) approach. A variety of DG resources including photovoltaic and wind generation are incorporated in the analysis. Meanwhile, the uncertainties associated with solar radiation, wind speed, and fuel prices are considered. For the sake of numerical analysis, DG configuration plans are generated with the HOMER software; thereafter, the plans are assessed with the Expert Choice software that supports the AHP approach.
Keywords :
analytic hierarchy process; distributed power generation; numerical analysis; photovoltaic power systems; power generation planning; wind power plants; AHP-based prioritization approach; DG resources; HOMER software; analytical hierarchical process; distributed generation configuration plans; electricity generation; energy efficiency promotion; expert choice software; fuel prices; microgrid generation plans; numerical analysis; photovoltaic generation; renewable energy resources; resource uncertainties; solar radiation; wind generation; wind speed; Batteries; Cogeneration; Indexes; Inverters; Microgrids; Software; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Conference (SGC), 2013
Conference_Location :
Tehran
Print_ISBN :
978-1-4799-3039-5
Type :
conf
DOI :
10.1109/SGC.2013.6733800
Filename :
6733800
Link To Document :
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