Find out about some of the previous events held by Durham Energy Institute:
Seminar: Scenario Decomposition of Stochastic Unit Commitment Problems
The expansion of energy supplies from volatile renewable sources has triggered an increased interest in stochastic optimization models for hydro-thermal unit commitment. Several studies have modelled the problem as a two-stage or multi-stage stochastic mixed-integer optimization problem. Solving these problems directly is computationally intractable for large instances, and alternative approaches have been proposed.
In this talk Tim Schulze will describe a scenario decomposition method with dual stabilisation and novel primal and dual initialisation techniques. Numerical results on a central scheduling model of the GB power system are given to illustrate that convergence to within 0.1% of optimality can be achieved quickly with this method