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A spatial multi-period long-term energy planning model: A case study of the Greek power system

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  • Koltsaklis, Nikolaos E.
  • Dagoumas, Athanasios S.
  • Kopanos, Georgios M.
  • Pistikopoulos, Efstratios N.
  • Georgiadis, Michael C.

Abstract

This paper presents a mixed-integer linear programming (MILP) model for the optimal long-term energy planning of a (national) power generation system. In order to capture more accurately the spatial and technical characteristics of the problem, the underlying geographical area (country) is divided into a number of individual networks that interact with each other. The proposed model determines the optimal planning of the power generation system, the selection of the power generation technologies, the type of fuels and the plant locations so as to meet the expected electricity demand, while satisfying environmental constraints in terms of CO2 emissions. Furthermore, the suggested model determines the electricity imports from neighbouring countries, the electricity transmission as well as the transportation of primary energy resources between domestic networks. A real case study concerning the Greek energy planning problem demonstrates the applicability of the proposed approach, which can provide policy makers with a systematic computer-aided tool to analyse various scenarios and technology options. Finally, a sensitivity analysis was conducted in order to capture the influence of some key parameters such as electricity demand, natural gas and CO2 emission price as well as wind power investment cost.

Suggested Citation

  • Koltsaklis, Nikolaos E. & Dagoumas, Athanasios S. & Kopanos, Georgios M. & Pistikopoulos, Efstratios N. & Georgiadis, Michael C., 2014. "A spatial multi-period long-term energy planning model: A case study of the Greek power system," Applied Energy, Elsevier, vol. 115(C), pages 456-482.
  • Handle: RePEc:eee:appene:v:115:y:2014:i:c:p:456-482
    DOI: 10.1016/j.apenergy.2013.10.042
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    References listed on IDEAS

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    1. Han, Jee-Hoon & Ahn, Yu-Chan & Lee, In-Beum, 2012. "A multi-objective optimization model for sustainable electricity generation and CO2 mitigation (EGCM) infrastructure design considering economic profit and financial risk," Applied Energy, Elsevier, vol. 95(C), pages 186-195.
    2. Sharan, Ishan & Balasubramanian, R., 2012. "Integrated generation and transmission expansion planning including power and fuel transportation constraints," Energy Policy, Elsevier, vol. 43(C), pages 275-284.
    3. Antunes, C.Henggeler & Martins, A.Gomes & Brito, Isabel Sofia, 2004. "A multiple objective mixed integer linear programming model for power generation expansion planning," Energy, Elsevier, vol. 29(4), pages 613-627.
    4. Han, Jee-Hoon & Lee, In-Beum, 2011. "Development of a scalable infrastructure model for planning electricity generation and CO2 mitigation strategies under mandated reduction of GHG emission," Applied Energy, Elsevier, vol. 88(12), pages 5056-5068.
    5. Rentizelas, Athanasios A. & Tolis, Athanasios I. & Tatsiopoulos, Ilias P., 2012. "Investment planning in electricity production under CO2 price uncertainty," International Journal of Production Economics, Elsevier, vol. 140(2), pages 622-629.
    6. Georgiou, Paraskevas N. & Mavrotas, George & Diakoulaki, Danae, 2011. "The effect of islands' interconnection to the mainland system on the development of renewable energy sources in the Greek power sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2607-2620, August.
    7. Muis, Z.A. & Hashim, H. & Manan, Z.A. & Taha, F.M. & Douglas, P.L., 2010. "Optimal planning of renewable energy-integrated electricity generation schemes with CO2 reduction target," Renewable Energy, Elsevier, vol. 35(11), pages 2562-2570.
    8. Choi, Dong Gu & Thomas, Valerie M., 2012. "An electricity generation planning model incorporating demand response," Energy Policy, Elsevier, vol. 42(C), pages 429-441.
    9. Li, Y.F. & Li, Y.P. & Huang, G.H. & Chen, X., 2010. "Energy and environmental systems planning under uncertainty--An inexact fuzzy-stochastic programming approach," Applied Energy, Elsevier, vol. 87(10), pages 3189-3211, October.
    10. Hobbs, Benjamin F., 1995. "Optimization methods for electric utility resource planning," European Journal of Operational Research, Elsevier, vol. 83(1), pages 1-20, May.
    11. Li, Y.P. & Huang, G.H. & Chen, X., 2011. "Planning regional energy system in association with greenhouse gas mitigation under uncertainty," Applied Energy, Elsevier, vol. 88(3), pages 599-611, March.
    12. Manfren, Massimiliano & Caputo, Paola & Costa, Gaia, 2011. "Paradigm shift in urban energy systems through distributed generation: Methods and models," Applied Energy, Elsevier, vol. 88(4), pages 1032-1048, April.
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