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Long-Range Generation Planning Using Decomposition and Probabilistic Simulation

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1 Author(s)
Bloom, Jeremy A. ; School of Operations Research and Industrial Engineering Cornell University

This paper discusses application of mathematical programming decomposition techniques in a model for planning least-cost investments in generating capacity subject to reliability constraints. The planning problem is decomposed into a set of subproblems, each representing theoperation of a set of generating units of fixed capacity in one year, and a master problem, representing optimal generating capacity investments over the entire planning horizon. The subproblems are solved using the probabilistic simulation procedure. The master problem is a linear program which uses Lagrange multipliers derived from the sub- problems. The solution is found by iteratively solving the master problem and the subproblems.

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Power Apparatus and Systems, IEEE Transactions on  (Volume:PAS-101 ,  Issue: 4 )