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European Transactions on Electrical Power
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European Transactions on Electrical Power
Article . 2010 . Peer-reviewed
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Efficient immune‐GA method for DNOs in sizing and placement of distributed generation units

descriptionPublicationkeyboard_double_arrow_right Article , Journal 27 Sep 2010 Ireland Publisher:WileyJournal:European Transactions on Electrical Power, volume 21, pages 1,361-1,375 (issn: 1430-144X, eissn: 1546-3109, Copyright policy )Publicly funded
Authors: Soroudi, Alireza; Ehsan, Mehdi;

doi: 10.1002/etep.501

handle: 10197/6206

Efficient immune‐GA method for DNOs in sizing and placement of distributed generation units

Abstract

AbstractThis paper proposes a hybrid heuristic optimization method based on genetic algorithm and immune systems to maximize the benefits of Distribution Network Operators (DNOs) accrued due to sizing and placement of Distributed Generation (DG) units in distribution networks. The effects of DG units in reducing the reinforcement costs and active power losses of distribution network have been investigated. In the presented method, the integration of DG units in distribution network is done considering both technical and economical aspects. The strength of the proposed method is evaluated by applying it on a small and a realistic large scale distribution network and the results are compared with analytical classic and other heuristic methods and discussed. Copyright © 2010 John Wiley & Sons, Ltd.

Country
Ireland
Related Organizations
Keywords

Immune algorithm, Genetic algorithm, Distributed generation, Active loss reduction, DG placement

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
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    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
hybrid
Related to Research communities
Energy Research