Long-Range Generation Planning Using Decomposition and Probabilistic Simulation

Abstract

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.