@inproceedings{ebf5efaab30c4a778a1276d02bebe9fd,
title = "Optimal allocation of renewable-based DG resources in rural areas using genetic algorithms",
abstract = "This paper presents a case study about the optimal allocation of renewable-based DG resources in rural areas using genetic algorithms. After building the power flow model based on the available data, the system performance in terms of power losses are studied for different scenarios. Based on loss minimization as an objective function, the optimal location and size of DG is found. In addition, the fuel saving, loss reduction and environmental benefits of the proposed DG size at the optimum location are quantified.",
keywords = "Distributed Generation, Genetic Algorithms, Loss minimization",
author = "Albadi, {M. H.} and Al-Hinai, {A. S.} and Al-Abri, {N. N.} and Al-Busafi, {Y. H.} and Al-Sadairi, {R. S.}",
year = "2012",
doi = "10.1109/APPEEC.2012.6307161",
language = "English",
isbn = "9781457705472",
series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",
booktitle = "APPEEC 2012 - 2012 Asia-Pacific Power and Energy Engineering Conference, Proceedings",
note = "2012 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2012 ; Conference date: 27-03-2012 Through 29-03-2012",
}
