Wind power day-ahead uncertainty management through stochastic unit commitment policies

By Pablo A. Ruiz, C. Russ Philbrick, Peter W. Sauer. IEEE PES Power Systems Conference and Exposition, 2009

119 citations recorded by the source corpus.

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Real-Time Markets for Flexiramp: A Stochastic Unit Commitment-Based Analysis (2016, background): “[17], [20] combined stochastic and reserve methods for uncertainty management in unit commitment.”
A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output (2012, background): “[6] proposed a stochastic formulation to manage uncertainty in the unit commitment problem and extended the model to consider uncertainty and variability in wind power by using the same stochastic framework [7].”
Wind power forecasting : state-of-the-art 2009. (2009, methodology): “In a related paper [353], the authors consider uncertainty and variability in wind power in the UC problem by using the same stochastic framework.”
Wind power forecasting uncertainty and unit commitment (2011, background): “Studies on the integration of wind power into the unit commitment problem have been made [2]–[4], namely on the reserve requirement [5], [6] and on novel unit commitment algorithms [7]–[10].”
Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network (2013, methodology): “As a result, we are capable of simulating a total of 8,000 days (1,000 days for each day type), by contrast to Sioshansi and Short (2009), Ruiz et al. (2009a), and Tuohy et al. (2009), who only simulate one year of operations on a rolling horizon basis.”