EconPapers    
Economics at your fingertips  
 

Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm

Hasan Doagou-Mojarrad, G.B. Gharehpetian, H. Rastegar and Javad Olamaei

Energy, 2013, vol. 54, issue C, 129-138

Abstract: This paper presents an interactive fuzzy satisfying method, which is based on Hybrid Modified Shuffled Frog Leaping Algorithm, and should solve the problem of the Multi-objective optimal placement and sizing of DG (distributed generation) units in the distribution network. Minimizing total electrical energy losses, total electrical energy cost and total pollutant emissions produced are the objective functions in this problem.

Keywords: Optimal placement of DG; Sizing of DG; Multi-objective problems; Hybrid evolutionary algorithm (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (38)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544213000716
Full text for ScienceDirect subscribers only

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:eee:energy:v:54:y:2013:i:c:p:129-138

DOI: 10.1016/j.energy.2013.01.043

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:54:y:2013:i:c:p:129-138