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IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty

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  • Lin, Q.G.
  • Huang, G.H.
  • Bass, B.
  • Qin, X.S.

Abstract

The development of optimization models for energy systems planning has attracted considerable interest over the past decades. However, the uncertainties that are inherent in the planning process and the complex interactions among various uncertain parameters are challenging the capabilities of these developed tools. Therefore, the objective of this study is to develop a hybrid interval-fuzzy two-stage stochastic energy systems planning model (IFTEM) to deal with various uncertainties that can be expressed as fuzzy numbers, probability distributions and discrete intervals. The developed IFTEM is then applied to a hypothetical regional energy system. The results indicate that the IFTEM has advantages in reflecting complexities of various system uncertainties as well as dealing with two-stage stochastic decision problems within energy systems.

Suggested Citation

  • Lin, Q.G. & Huang, G.H. & Bass, B. & Qin, X.S., 2009. "IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty," Energy Policy, Elsevier, vol. 37(3), pages 868-878, March.
    • Handle: RePEc:eee:enepol:v:37:y:2009:i:3:p:868-878
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    as
    1. Behrens, Axel, 1990. "Optimal resource extraction under stochastic terms of trade: Note," Resources and Energy, Elsevier, vol. 11(4), pages 321-327, March.
    2. Wagner, Janet M. & Shamir, Uri & Marks, David H., 1994. "Containing groundwater contamination: Planning models using stochastic programming with recourse," European Journal of Operational Research, Elsevier, vol. 77(1), pages 1-26, August.
    3. Huang, Guo H. & Baetz, Brian W. & Patry, Gilles G., 1995. "Grey integer programming: An application to waste management planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 83(3), pages 594-620, June.
    4. Manne, Alan & Mendelsohn, Robert & Richels, Richard, 1995. "MERGE : A model for evaluating regional and global effects of GHG reduction policies," Energy Policy, Elsevier, vol. 23(1), pages 17-34, January.
    5. Bunn, Derek W. & Paschentis, Spiros N., 1986. "Development of a stochastic model for the economic dispatch of electric power," European Journal of Operational Research, Elsevier, vol. 27(2), pages 179-191, October.
    6. Sadeghi, Mehdi & Mirshojaeian Hosseini, Hossein, 2006. "Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs)," Energy Policy, Elsevier, vol. 34(9), pages 993-1003, June.
    7. L. Dai & C. H. Chen & J. R. Birge, 2000. "Convergence Properties of Two-Stage Stochastic Programming," Journal of Optimization Theory and Applications, Springer, vol. 106(3), pages 489-509, September.
    8. Kunsch, P.L. & Teghem, J. Jr., 1987. "Nuclear fuel cycle optimization using multi-objective stochastic linear programming," European Journal of Operational Research, Elsevier, vol. 31(2), pages 240-249, August.
    9. Huang, G. H. & Baetz, B. W. & Patry, G. G., 1995. "Grey fuzzy integer programming: An application to regional waste management planning under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 29(1), pages 17-38, March.
    10. Ruszczynski, Andrzej & Swietanowski, Artur, 1997. "Accelerating the regularized decomposition method for two stage stochastic linear problems," European Journal of Operational Research, Elsevier, vol. 101(2), pages 328-342, September.
    11. K Darby-Dowman & S Barker & E Audsley & D Parsons, 2000. "A two-stage stochastic programming with recourse model for determining robust planting plans in horticulture," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 83-89, January.
    12. Muela, E. & Schweickardt, G. & Garces, F., 2007. "Fuzzy possibilistic model for medium-term power generation planning with environmental criteria," Energy Policy, Elsevier, vol. 35(11), pages 5643-5655, November.
    13. Borges, Ana Rosa & Antunes, Carlos Henggeler, 2003. "A fuzzy multiple objective decision support model for energy-economy planning," European Journal of Operational Research, Elsevier, vol. 145(2), pages 304-316, March.
    14. Birge, John R. & Louveaux, Francois V., 1988. "A multicut algorithm for two-stage stochastic linear programs," European Journal of Operational Research, Elsevier, vol. 34(3), pages 384-392, March.
    15. John R. Birge, 1985. "Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs," Operations Research, INFORMS, vol. 33(5), pages 989-1007, October.
    16. Abraham Grosfeld-Nir & Asher Tishler, 1993. "A Stochastic Model for the Measurement of Electricity Outage Costs," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 157-174.
    17. Clarke, Harry R. & Reed, William J., 1990. "Oil-well valuation and abandonment with price and extraction rate uncertain," Resources and Energy, Elsevier, vol. 12(4), pages 361-382, December.
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