A Stochastic Unit-commitment Model for the Evaluation of the Impacts of Integration of Large Amounts of Intermittent Wind Power

By R. Barth, H. Brand, P. Meibom, Christoph Weber. 2006 International Conference on Probabilistic Methods Applied to Power Systems, 2006

187 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1611711f701478b448940f14195ca798c566e10f

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In Electrical and Electronic Engineering

Citations in the corpus

Wind power day-ahead uncertainty management through stochastic unit commitment policies (2009, background): “The stochasticity of wind generators was incorporated into the stochastic unit commitment formulation in [14], where several operational constraints are neglected.”
Pumped storage in systems with very high wind penetration (2011, methodology): “More details of the model can be found in (Barth et al., 2006), (WILMAR, 2006) and (Tuohy et al., 2009).”
A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output (2012, background): “A short-term generation scheduling model for Wind Power Integration in the Liberalized Electricity Markets (WILMAR) was proposed in [1]–[3].”
Wind power forecasting : state-of-the-art 2009. (2009, unknown): “2006 [303]; Bouffard and Galiana 2008 [304]; Wang et al.”
Challenges and barriers to demand response deployment and evaluation (2015, background): “In recent times, there as been considerable work in developing stochastic unit commitment tools to account for the uncertainty associated with variable renewable generation, particularly wind [68,69].”
Stochastic dual dynamic integer programming (2018, background): “Examples include long term capacity planning of generation and transmission systems [5,8], day-ahead generation scheduling (unit commitment) [10,20,54,77,87], planning and operation of renewable energy systems [17,30,46,63], management of electricity storage systems [55,56], etc.”
Multi-Stage Robust Unit Commitment Considering Wind and Demand Response Uncertainties (2013, background): “Recent studies have focused on developing stochastic optimization models with the objective of minimizing the total expected cost, including a short-term stochastic rolling unit commitment model [4]–[6], a stochastic unit commitment model to calculate reserve requirements by simulating the wind powe”
Uncertainty Management in the Unit Commitment Problem (2009, background): “After these initial implementations, others have extended these efforts to incorporate the uncertainty in the wind generation [14], market outcomes [15], fuel cost [16], network aspects [17]–[19], and longer-term production costing [20].”