In recent year, under the deregulation of power industry, the independent power producers (IPP) have been entering into the power generation sector and the number of IPP will increase more and more in the future. In this circumstance, we must consider the issue of how to estimate and to secure the reliability of a power system under uncertainty. Therefore, the unit commitment schedule with an appropriate spinning reserve taking into account uncertainties will be a key subject in the economic estimation of power system operation.
In this paper, we report a solution technique with a new objective function for the unit commitment problem considering a power interruption cost which is expected to be able to evaluate the reliability in term of economy. In the proposed algorithm, the decision space is separated into two phases, a virtual scenario part in which the generator outage and the demand forecasting error are included, and an actual unit commitment part. An optimization algorithm of a stochastic approach using this decision space is developed and numerical results indicate that the value of the objective function can be reduced significantly compared with the deterministic model.
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