Distributed generation planning in smart distribution grids via a meta-heuristic approach

A. A. Eajal, E. F. El-Saadany, M. F. AlHajri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageBritish English
Title of host publicationCanadian Conference on Electrical and Computer Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479930999
DOIs
StatePublished - 17 Sep 2014
Event2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014 - Toronto, Canada
Duration: 4 May 20147 May 2014

Publication series

NameCanadian Conference on Electrical and Computer Engineering
ISSN (Print)0840-7789

Conference

Conference2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering, CCECE 2014
Country/TerritoryCanada
CityToronto
Period4/05/147/05/14

Keywords

  • Distributed generation
  • particle swarm optimization
  • smart distribution grid

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