Partially Adaptive Stochastic Optimization for Electric Power Generation Expansion Planning

Published Online:https://doi.org/10.1287/ijoc.2017.0782

References

  • Ahmed S, Sahinidis NV (2003) An approximation scheme for stochastic integer programs arising in capacity expansion. Oper. Res. 51(3):461–471.LinkGoogle Scholar
  • Ahmed S, King AJ, Parija G (2003) A multi-stage stochastic integer programming approach for capacity expansion under uncertainty. J. Global Optim. 26(1):3–24.CrossrefGoogle Scholar
  • Bean JC, Higle JL, Smith RL (1992) Capacity expansion under stochastic demands. Oper. Res. 40(3-Suppl-2):S210–S216.LinkGoogle Scholar
  • Berman O, Ganz Z, Wagner JM (1994) A stochastic optimization model for planning capacity expansion in a service industry under uncertain demand. Naval Res. Logist. 41(4):545–564.CrossrefGoogle Scholar
  • Bienstock D, Shapiro JF (1988) Optimizing resource acquisition decisions by stochastic programming. Management Sci. 34(2):215–229.LinkGoogle Scholar
  • Bloom JA (1983) Solving an electricity generating capacity expansion planning problem by generalized Benders’ decomposition. Oper. Res. 31(1):84–100.LinkGoogle Scholar
  • Bloom JA, Caramanis M, Charny L (1984) Long-range generation planning using generalized Benders’ decomposition: Implementation and experience. Oper. Res. 32(2):290–313.LinkGoogle Scholar
  • Chen Z-L, Li S, Tirupati D (2002) A scenario-based stochastic programming approach for technology and capacity planning. Comput. Oper. Res. 29:781–806.CrossrefGoogle Scholar
  • Davis MHA, Dempster MAH, Sethi SP, Vermes D (1987) Optimal capacity expansion under uncertainty. Adv. Appl. Probab.19(1):156–176.CrossrefGoogle Scholar
  • Dempster MAH, Pedron NH, Medova EA, Scott JE, Sembos A (2000) Planning logistics operations in the oil industry. J. Oper. Res. Soc. 51(11):1271–1288.CrossrefGoogle Scholar
  • Dupačová J, Bertocchi M, Moriggia V (2009) Testing the structure of multistage stochastic programs. Comput. Management Sci. 6(2):161–185.CrossrefGoogle Scholar
  • Erlenkotter D (1967) Optimal plant size with time-phased imports. Manne AS, ed. Investments for Capacity Expansion: Size, Location, and Time-Phasing (MIT Press, Cambridge, MA), 157–177.Google Scholar
  • Freidenfelds J (1980) Capacity expansion when demand is a birth-death random process. Oper. Res. 28(3):712–721.LinkGoogle Scholar
  • Giglio RJ (1970) Stochastic capacity models. Management Sci. 17(3): 174–184.LinkGoogle Scholar
  • Grinold RC (1986) Infinite horizon stochastic programs. SIAM J. Control Optim. 24(6):1246–1260.CrossrefGoogle Scholar
  • Høyland K, Wallace SW (2001) Generating scenario trees for multistage decision problems. Management Sci. 47(2):295–307.LinkGoogle Scholar
  • Huang K, Ahmed S (2009) The value of multistage stochastic programming in capacity planning under uncertainty. Oper. Res. 57(4):893–904.LinkGoogle Scholar
  • Jin S, Ryan SM, Watson J-P, Woodruff DL (2011) Modeling and solving a large-scale generation expansion planning problem under uncertainty. Energy Systems 2:209–242.CrossrefGoogle Scholar
  • Manne AS (1961) Capacity expansion and probabilistic growth. Econometrica 29(4):632–649.CrossrefGoogle Scholar
  • Nielsen SS, Zenios SA (1996) A stochastic programming model for funding single premium deferred annuities. Math. Programming 75:177–200.CrossrefGoogle Scholar
  • Ruszczyński A, Shapiro A, eds. (2003) Stochastic Programming. Handbooks Oper. Res. Management Sci., Vol. 10 (Elsevier, New York).Google Scholar
  • Ryan SM, McCalley J, Woodruff DL (2011) Long term resource planning for electric power systems under uncertainty. Eto JH, Thomas RJ, eds. Comput. Needs for the Next Generation Electric Grid (U.S. Department of Energy, Washington, DC), 6-1–6-41. http://energy.gov/sites/prod/files/FINAL_CompNeeds_Proceedings2011.pdf.Google Scholar
  • Singh KJ, Philpott AB, Wood RK (2009) Dantzig-Wolfe decomposition for solving multistage stochastic capacity-planning problems. Oper. Res. 57(5):1271–1286.LinkGoogle Scholar
  • Wallace SW, Fleten S-E (2003) Stochastic programming models in energy. Ruszczynski A, Shapiro A, eds. Handbooks Oper. Res. Management Sci., Vol. 10 (Elsevier, New York),637–677.CrossrefGoogle Scholar
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