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Risk based multiobjective generation expansion planning considering renewable energy sources

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  • Gitizadeh, Mohsen
  • Kaji, Mahdi
  • Aghaei, Jamshid

Abstract

Generation expansion planning is defined as the problem of finding the technology type, number of generation units, size, and location of candidate plants within the planning horizon. In the deregulated environment rather than the traditional system which considered the cost minimization as the main objective function in generation expansion planning problem, the major objective is to maximize the Project Lifetime Economic Return. In this paper, the problem is solved considering three objectives, simultaneously (i.e. maximization of the Project Lifetime Economic Return, minimization of CO2 emission, and minimization of the fuel price risk due to the use of non-renewable energy sources). Furthermore, due to the extensive use of renewable energy sources, e.g., onshore wind, offshore wind, solar, etc, the effect of these power plants has been investigated in this paper. In order to make the problem more compatible with the real world, some of the most common incentive systems (i.e. carbon tax, emission trade, quota obligation, and feed-in-tariff) have been considered for the problem formulation. The problem is solved using Modified Normal Boundary Intersection method using General Algebraic Modelling System. Finally, a case study is designed to assess the efficiency of the proposed scheme.

Suggested Citation

  • Gitizadeh, Mohsen & Kaji, Mahdi & Aghaei, Jamshid, 2013. "Risk based multiobjective generation expansion planning considering renewable energy sources," Energy, Elsevier, vol. 50(C), pages 74-82.
    • Handle: RePEc:eee:energy:v:50:y:2013:i:c:p:74-82
    DOI: 10.1016/j.energy.2012.11.040
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    References listed on IDEAS

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    1. P. Massé & R. Gibrat, 1957. "Application of Linear Programming to Investments in the Electric Power Industry," Management Science, INFORMS, vol. 3(2), pages 149-166, January.
    2. Pereira, Adelino J.C. & Saraiva, João Tomé, 2011. "Generation expansion planning (GEP) – A long-term approach using system dynamics and genetic algorithms (GAs)," Energy, Elsevier, vol. 36(8), pages 5180-5199.
    3. Shrestha, Ram M. & O.P. Marpaung, Charles, 2002. "Supply- and demand-side effects of power sector planning with CO2 mitigation constraints in a developing country," Energy, Elsevier, vol. 27(3), pages 271-286.
    4. Nakawiro, Thanawat & Bhattacharyya, Subhes C. & Limmeechokchai, Bundit, 2008. "Electricity capacity expansion in Thailand: An analysis of gas dependence and fuel import reliance," Energy, Elsevier, vol. 33(5), pages 712-723.
    5. 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.
    6. Nelson, James & Johnston, Josiah & Mileva, Ana & Fripp, Matthias & Hoffman, Ian & Petros-Good, Autumn & Blanco, Christian & Kammen, Daniel M., 2012. "High-resolution modeling of the western North American power system demonstrates low-cost and low-carbon futures," Energy Policy, Elsevier, vol. 43(C), pages 436-447.
    7. AlKhal, Farqad & Chedid, Riad & Itani, Zeina & Karam, Tony, 2006. "An assessment of the potential benefits from integrated electricity capacity planning in the northern Middle East region," Energy, Elsevier, vol. 31(13), pages 2316-2324.
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