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A novel formulation of carbon emissions costs for optimal design configuration of system transmission planning


  • Sadegheih, A.


This paper describes a methodology developed for designing an optimal configuration for system transmission planning with carbon emissions costs. The power transmission network planning problem is modeled by the mixed integer programming model, a GA, and SA. At this moment environmental issues have the most serious problem to be concerned within every part of the world. Global warming, which is mainly caused by the emissions of Green House Gases (GHGs), is said to be a serious part of these environmental problems. Since green house gases issues become important and the new legislations are taken into account, carbon emissions costs are included in the total costs of the transmission network planning. This method of solution is demonstrated on the real problem. Finally, the genetic algorithm shows to be a very good option for network planning systems given that it obtains much accentuated reductions of iteration, which is very important for network planning.

Suggested Citation

  • Sadegheih, A., 2010. "A novel formulation of carbon emissions costs for optimal design configuration of system transmission planning," Renewable Energy, Elsevier, vol. 35(5), pages 1091-1097.
  • Handle: RePEc:eee:renene:v:35:y:2010:i:5:p:1091-1097
    DOI: 10.1016/j.renene.2009.10.011

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    References listed on IDEAS

    1. Böhringer, Christoph, 2003. "The Kyoto Protocol: A Review and Perspectives," ZEW Discussion Papers 03-61, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    2. Dieter Helm & Cameron Hepburn & Richard Mash, 2003. "Credible Carbon Policy," Oxford Review of Economic Policy, Oxford University Press, vol. 19(3), pages 438-450.
    3. Ian W. H. Parry, 2003. "Fiscal Interactions and the Case for Carbon Taxes Over Grandfathered Carbon Permits," Oxford Review of Economic Policy, Oxford University Press, vol. 19(3), pages 385-399.
    4. Zugang Liu & Trisha Woolley & Anna Nagurney, 2006. "Optimal Endogenous Carbon Taxes for Electric Power Supply Chains with Power Plants," Computing in Economics and Finance 2006 322, Society for Computational Economics.
    5. Parry, Ian W.H., 2003. "Fiscal Interactions and the Case for Carbon Taxes over Grandfathered Carbon Permits," Discussion Papers 10509, Resources for the Future.
    6. Sadegheih, A., 2009. "Optimization of network planning by the novel hybrid algorithms of intelligent optimization techniques," Energy, Elsevier, vol. 34(10), pages 1539-1551.
    7. Randall Lutter & Jason F. Shogren, 2002. "Tradable Permit Tariffs: How Local Air Pollution Affects Carbon Emissions Permit Trading," Land Economics, University of Wisconsin Press, vol. 78(2), pages 159-170.
    8. Manne, Alan S. & Schrattenholzer, Leo, 1993. "Global scenarios for carbon dioxide emissions," Energy, Elsevier, vol. 18(12), pages 1207-1222.
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    Cited by:

    1. Baños, R. & Manzano-Agugliaro, F. & Montoya, F.G. & Gil, C. & Alcayde, A. & Gómez, J., 2011. "Optimization methods applied to renewable and sustainable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(4), pages 1753-1766, May.
    2. Morini, Mirko & Pinelli, Michele & Spina, Pier Ruggero & Venturini, Mauro, 2013. "Optimal allocation of thermal, electric and cooling loads among generation technologies in household applications," Applied Energy, Elsevier, vol. 112(C), pages 205-214.
    3. Sun, Yanlong & Kang, Chongqing & Xia, Qing & Chen, Qixin & Zhang, Ning & Cheng, Yaohua, 2017. "Analysis of transmission expansion planning considering consumption-based carbon emission accounting," Applied Energy, Elsevier, vol. 193(C), pages 232-242.
    4. Fuentes-Cortés, Luis Fabián & Dowling, Alexander W. & Rubio-Maya, Carlos & Zavala, Víctor M. & Ponce-Ortega, José María, 2016. "Integrated design and control of multigeneration systems for building complexes," Energy, Elsevier, vol. 116(P2), pages 1403-1416.
    5. Sadegheih, A., 2011. "Optimal design methodologies under the carbon emission trading program using MIP, GA, SA, and TS," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 504-513, January.


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