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Stochastic production costing in generation planning: A large-scale mixed integer model. (English) Zbl 0488.90034

MSC:

90B30 Production models
90C90 Applications of mathematical programming
90C11 Mixed integer programming

Software:

WASP
Full Text: DOI

References:

[1] D. Anderson, ”Models for determining least-cost investments in electricity supply” The Bell Journal of Economics and Management Science 3 (1972) 267–299. · doi:10.2307/3003078
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[12] R.T. Jenkins and D.S. Joy, ”WIEN automatic system planning package (WASP)–An electric utility optimal generation expansion planning computer code”, Oak Ridge National Laboratory Report ORNL-4945 (1974).
[13] R. Juseret, ”Long term optimisation of electrical system generation by convex programming”, Mathematical Programming Study 9 (1978) 186–195. · doi:10.1007/BFb0120834
[14] H.M. Khatib, ”Economics of reliability of electrical power systems”, Ph.D. Thesis, University of London (1974).
[15] A.S. Manne, ”A mixed integer algorithm for project evaluation”, Development Research Centre, International Bank for Reconstruction and Development, Memorandum 71-3 (1971).
[16] F. Noonan and R. Giglio, ”Planning electric power generation: A non-linear mixed integer model employing Benders’ decomposition”, Management Science 23 (1977) 946–956. · doi:10.1287/mnsc.23.9.946
[17] M.A. Sager, R.J. Ringlee and A.J. Wood, ”A new generation cost program to recognise forced outages”, IEEE Transactions on Power Apparatus and Systems PAS-91 (1972) 2114–2124. · doi:10.1109/TPAS.1972.293194
[18] D.M. Simmons, Linear programming for operations research, (Holden-Day, San Francisco, (1972).
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