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Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm

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  • Doagou-Mojarrad, Hasan
  • Gharehpetian, G.B.
  • Rastegar, H.
  • Olamaei, Javad

Abstract

This paper presents an interactive fuzzy satisfying method, which is based on Hybrid Modified Shuffled Frog Leaping Algorithm, and should solve the problem of the Multi-objective optimal placement and sizing of DG (distributed generation) units in the distribution network. Minimizing total electrical energy losses, total electrical energy cost and total pollutant emissions produced are the objective functions in this problem.

Suggested Citation

  • Doagou-Mojarrad, Hasan & Gharehpetian, G.B. & Rastegar, H. & Olamaei, Javad, 2013. "Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm," Energy, Elsevier, vol. 54(C), pages 129-138.
  • Handle: RePEc:eee:energy:v:54:y:2013:i:c:p:129-138
    DOI: 10.1016/j.energy.2013.01.043
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    1. Beccali, M. & Brunone, S. & Cellura, M. & Franzitta, V., 2008. "Energy, economic and environmental analysis on RET-hydrogen systems in residential buildings," Renewable Energy, Elsevier, vol. 33(3), pages 366-382.
    2. Niknam, Taher & Meymand, Hamed Zeinoddini & Mojarrad, Hasan Doagou, 2011. "An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants," Energy, Elsevier, vol. 36(1), pages 119-132.
    3. Ardente, Fulvio & Beccali, Marco & Cellura, Maurizio & Lo Brano, Valerio, 2008. "Energy performances and life cycle assessment of an Italian wind farm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(1), pages 200-217, January.
    4. Marszal, Anna Joanna & Heiselberg, Per, 2011. "Life cycle cost analysis of a multi-storey residential Net Zero Energy Building in Denmark," Energy, Elsevier, vol. 36(9), pages 5600-5609.
    5. Niknam, Taher & Golestaneh, Faranak & Malekpour, Ahmadreza, 2012. "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational," Energy, Elsevier, vol. 43(1), pages 427-437.
    6. Beccali, M. & Cellura, M. & Mistretta, M., 2003. "Decision-making in energy planning. Application of the Electre method at regional level for the diffusion of renewable energy technology," Renewable Energy, Elsevier, vol. 28(13), pages 2063-2087.
    7. Nielsen, Steffen & Möller, Bernd, 2012. "Excess heat production of future net zero energy buildings within district heating areas in Denmark," Energy, Elsevier, vol. 48(1), pages 23-31.
    8. Niknam, Taher & Mojarrad, Hassan Doagou & Nayeripour, Majid, 2010. "A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch," Energy, Elsevier, vol. 35(4), pages 1764-1778.
    9. Niknam, Taher & Taheri, Seyed Iman & Aghaei, Jamshid & Tabatabaei, Sajad & Nayeripour, Majid, 2011. "A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources," Applied Energy, Elsevier, vol. 88(12), pages 4817-4830.
    10. Vahidinasab, V. & Jadid, S., 2010. "Joint economic and emission dispatch in energy markets: A multiobjective mathematical programming approach," Energy, Elsevier, vol. 35(3), pages 1497-1504.
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