EconPapers    
Economics at your fingertips  
 

Loss Minimization through the Allocation of DGs Considering the Stochastic Nature of Units

Ali Parsa Sirat

MPRA Paper from University Library of Munich, Germany

Abstract: Smart grid as the cleaner alternative to the legacy power system can improve technical, economical, and environmental aspects of the system up to a considerable degree. In smart grids, Distributed Generation (DG) units; which play an important role, should be optimally allocated. In this paper, DG placement is conducted with the goal of loss minimization of the grid considering the technical limitations associated with the voltage profile of the buses as well as the stochastic nature of the DGs. In this paper, three different kinds of DGs are included which are wind turbines, solar panels, and biomass generators. The results related to the case study which is IEEE standard 33 bus system reveals that the costs can be dramatically decreased.

Keywords: Allocation; Distributed Generator (DG); Loss; Reliability; Smart Grid (search for similar items in EconPapers)
JEL-codes: L00 L15 L61 L62 O14 O19 O32 (search for similar items in EconPapers)
Date: 2018
New Economics Papers: this item is included in nep-ene
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in International Journal of Engineering Innovation & Research 2.7(2018): pp. 113-118

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/87636/1/MPRA_paper_87636.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:87636

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:87636