Stochastic optimization and modelling of large hydrothermal systems for long-term regulation

Abstract Methods are presented for long-term regulation of hydrothermal power systems which take account of unit availability, stochastic load and inflow variations. Two general classes of methods for taking into account the inflow availability are presented, namely two-stage linear programming under uncertainty and chanced constrained programming. The computational feasibility of both methods is illustrated by solution of a sample problem. In addition, the practical viability of the first approach is verified by application to a large system.

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