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Controlling Conventional Generation to Minimize Forecast Error Cost

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If you have a question about this talk, please contact Mustapha Amrani.

Stochastic Processes in Communication Sciences

Nowadays renewable power sources are extremely important. However, their unpredictability makes effective managing of power system difficult. System operators predict net demand, where net demand is power produced by renewable sources subtracted from the total demand. The power system acts autonomously to cover predicted net demand but is unable to deal with errors in prediction. If the local supply fails to meet demand the shortfall must be met by imported power via interconnectors. Although, imported power is expensive. Our main objective is to minimize cost by reducing power purchased from abroad. This can be done by scheduling of additional conventional power plants. Ramp constraints lead to the need to carry out pre-emptive actions.

In this talk we present an initial model for considerably large prediction errors and explore some properties of its optimal management.

This talk is part of the Isaac Newton Institute Seminar Series series.

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