Unit Commitment for Systems With Significant Wind Penetration

By Aidan Tuohy, P. Meibom, E. Denny, Mark J. O'Malley. IEEE Transactions on Power Systems, 2009

779 citations recorded by the source corpus.

The stochastic nature of wind alters the unit commitment and dispatch problem. By accounting for this uncertainty when scheduling the system, more robust schedules are produced, which should, on average, reduce expected costs. In this paper, the effects of stochastic wind and load on the unit commitment and dispatch of power systems with high levels of wind power are examined. By comparing the costs, planned operation and performance of the schedules produced, it is shown that stochastic optimization results in less costly, of the order of 0.25%, and better performing schedules than deterministic optimization. The impact of planning the system more frequently to account for updated wind and load forecasts is then examined. More frequent planning means more up to date forecasts are used, which reduces the need for reserve and increases performance of the schedules. It is shown that mid-merit and peaking units and the interconnection are the most affected parts of the system where uncertainty of wind is concerned.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/d220d61e76d02fa4fc37ebf6b069b8fd8b2458b5

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Citations in the corpus

Adaptive Robust Optimization With Dynamic Uncertainty Sets for Multi-Period Economic Dispatch Under Significant Wind (2014, background): “[29] presents a stochastic UC model for significant wind and shows the benefits of more frequent planning and over a deterministic approach.”
Real-Time Markets for Flexiramp: A Stochastic Unit Commitment-Based Analysis (2016, background): “, [16]–[18]), and more generally to assess the benefits of explicit consideration of probability distributions of loads in unit commitment (e.”
Evaluating the Impacts of Real-Time Pricing on the Cost and Value of Wind Generation (2010, background): “Other authors, such as [10], [11], have advocated using a stochastic day-ahead unit commitment to explicitly deal with resource forecasting errors.”
Balancing power and variable renewables: Three links (2015, background): “A linear trend of these estimates shows a moderate increase in balancing costs with wind penetration [54,111,51,105,26,113,50,68,88,48].”
Intermittency and the Value of Renewable Energy (2011, neutral): “A second strand uses optimization models from power systems engineering (see, e.g., GE Energy 2008; Tuohy et al. 2009; Madaeni and optimizing behavior within the context of our model.”
Chance-Constrained Two-Stage Unit Commitment Under Uncertain Load and Wind Power Output Using Bilinear Benders Decomposition (2016, background): “This model minimizes the expected cost while satisfying operational constraints under those scenarios [10].”
Stochastic Optimization Model to Study the Operational Impacts of High Wind Penetrations in Ireland (2011, background): “More fundamentally, the unit commitment schedules are updated in a rolling manner as more up-to-date forecasts become available [ 19 ].”
A review of computer tools for analysing the integration of renewable energy into various energy systems (2010, methodology): “WILMAR has previously been used to analyse the change in operation costs within the electricity sector due to increased wind-penetrations [244], to simulate the integration of wind power onto the Nordic energy-system [245], to evaluate how electric boilers and heat pumps can improve the feasibility ”
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 Liberalised Electricity Markets (WILMAR) was proposed in [1], [2], and [3].”
Chance-Constrained Day-Ahead Scheduling in Stochastic Power System Operation (2014, neutral): “The Stochastic UC with high wind penetration are examined in [14] for rolling planning with scenario trees.”
Two-Stage Minimax Regret Robust Unit Commitment (2013, neutral): “, [2] and [10] and references therein).”