@inproceedings{d92a07f675764d43b0d2b955396c85fc,
title = "Distributed generation planning in smart distribution grids via a meta-heuristic approach",
abstract = "The smart grid allows its consumers to participate in producing cost effective, sustainable, and environmentally friendly electricity. The consumers in a smart grid, for example, can install small-scale Distributed Generation (DG) units to supply their own loads and support the grid during the peak periods. However, these DG units need to be properly rated and located in the grid to avoid any technical problems such as voltage violations. Thus, in this paper, the planning of multiple DG units problem is tackled by using a Hybrid Particle Swarm Optimization algorithm (HPSO). The developed HPSO approach is tested on a 69-bus test system. The results obtained outperformed those found in the literature.",
keywords = "Distributed generation, particle swarm optimization, smart distribution grid",
author = "Eajal, {A. A.} and El-Saadany, {E. F.} and AlHajri, {M. F.}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 ; Conference date: 04-05-2014 Through 07-05-2014",
year = "2014",
month = sep,
day = "17",
doi = "10.1109/CCECE.2014.6900930",
language = "British English",
series = "Canadian Conference on Electrical and Computer Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Canadian Conference on Electrical and Computer Engineering",
address = "United States",
}