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Title: Unit Commitment and Operating Reserves with Probabilistic Wind Power Forecasts
Authors: J. Wang
A. Botterud
Z. Zhou
J. Valenzuela
Vladimiro Miranda
Jean Sumaili
Ricardo Jorge Bessa
Hrvoje Keko
Issue Date: 2011
Abstract: In this paper we discuss how probabilistic wind power forecasts can serve as an important tool to efficiently address wind power uncertainty in power system operations. We compare different probabilistic forecasting and scenario reduction methods, and test the resulting forecasts on a stochastic unit commitment model. The results are compared to deterministic unit commitment, where dynamic operating reserve requirements can also be derived from the probabilistic forecasts. In both cases, the use of probabilistic forecasts contributes to improve the system performance in terms of cost and reliability.
metadata.dc.type: conferenceObject
Appears in Collections:CPES - Indexed Articles in Conferences

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