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A stochastic model for the unit commitment problem
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DOI：10.1109/59.535691.png)
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Abstract
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We develop a model and a solution technique for the problem of generating electric power when demands are not certain. We also provide techniques for improving the current methods used in solving the traditional unit commitment problem. The solution strategy can be run in parallel due to the separable nature of the relaxation used. Numerical results indicate significant savings in the cost of operating power generating systems when the stochastic model is used instead of the deterministic model.
Keywords:
unit commitment problem
stochastic programming
Lagrangian relaxation
dynamic programming
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