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Volumn 5, Issue 12, 2011, Pages 3059-3068

A hybrid heuristic method for multi objective DG placement in distribution networks

Author keywords

Distributed generation optimal allocation; Genetic algorithm; Loss reduction

Indexed keywords


EID: 84856443626     PISSN: 19918178     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1)

References (13)
  • 1
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    • Kluwer Academic Publisher, Boston
    • Ackley, D., 1987. "A connectionist Machine for Genetic Hill Climbing", Kluwer Academic Publisher, Boston.
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    • Ackley, D.1
  • 2
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    • Optimal distributed generation allocation for reliability, losses and voltage improvement
    • Carmen, L.T., Borges, Djalma M. Falcao, 2006. "Optimal distributed generation allocation for reliability, losses and voltage improvement", Electrical power and energy systems, 28: 413-420.
    • (2006) Electrical Power and Energy Systems , vol.28 , pp. 413-420
    • Carmen, L.T.1    Borges, D.M.F.2
  • 3
    • 27144523467 scopus 로고    scopus 로고
    • Distributed generation in liberalized electricity markets
    • International Energy Agency
    • International Energy Agency, 2002. "Distributed Generation in Liberalized Electricity Markets.
    • (2002)
  • 5
    • 85043469178 scopus 로고    scopus 로고
    • Distributed Power generation, planning and evaluation
    • New York: Marcel Deckker
    • Lee Willis and Walter G. Scott, 2000. "Distributed Power Generation, planning and evaluation", New York: Marcel Deckker.
    • (2000)
    • Willis, L.1    Scott, W.G.2
  • 6
    • 0003587805 scopus 로고    scopus 로고
    • An Introduction to genetic algorithms
    • MIT Press
    • Mitchell, M., 1996. "An introduction to genetic algorithms", MIT Press.
    • (1996)
    • Mitchell, M.1
  • 7
    • 10644260519 scopus 로고    scopus 로고
    • Distributed generation: Definition, benefits and issues
    • ELSEVIER, Energy policy
    • Pepermans, G., et al., 2005. "Distributed generation: definition, benefits and issues", ELSEVIER, Energy policy, 33: 787-798.
    • (2005) , vol.33 , pp. 787-798
    • Pepermans, G.1
  • 8
    • 63049087264 scopus 로고    scopus 로고
    • Optimal placement of distributed generation
    • 14th Power Systems Computation Conference (PSCC), Sevilla
    • Rosehart, W., E. Nowicki, 2002. "Optimal Placement of Distributed Generation", 14th Power Systems Computation Conference (PSCC), Sevilla.
    • (2002)
    • Rosehart, W.1    Nowicki, E.2
  • 9
    • 0003584577 scopus 로고    scopus 로고
    • Artificial intelligence: A modern approach
    • Second ed. Prentice Hall
    • Russel, S. and P. Norving, 2002."Artificial intelligence: A Modern Approach", Second ed. Prentice Hall.
    • (2002)
    • Russel, S.1    Norving, P.2
  • 12
    • 33646375693 scopus 로고    scopus 로고
    • Assessment of Energy distribution losses for Increasing penetration of Distributed Generation
    • Victor, H. Mendez et al., 2006. "Assessment of Energy distribution losses for Increasing penetration of Distributed Generation, IEEE Trans. Power System, 21(2): 533-539.
    • (2006) IEEE Trans. Power System , vol.21 , Issue.2 , pp. 533-539
    • Victor, H.M.1
  • 13
    • 32144445579 scopus 로고    scopus 로고
    • Impact of DG placement on reliability and efficiency with time-varying loads Power Systems
    • Zhu, D., R.P. Broadwater, R. Kwa-Sur Tam, Seguin, H. Asgeirsson, 2006. " Impact of DG placement on reliability and efficiency with time-varying loads Power Systems", IEEE Transactions on 21(1): 419-427.
    • (2006) IEEE Transactions On , vol.21 , Issue.1 , pp. 419-427
    • Zhu, D.1    Broadwater, R.P.2    Kwa-Sur, T.R.3    Seguin, H.A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.