Three-Stage Robust Unit Commitment Considering Decreasing Uncertainty in Wind Power Forecasting

Cho, Youngchae; Ishizaki, Takayuki; Imura, Jun-ichi

doi:10.1109/tii.2021.3079364

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…Considering the pros and cons of different models, an adaptive robust UC is employed for the purpose of this paper. Some of the more recent usages and developments in the formulation can be found in [1][2][3], and [4]. A robust formulation is employed in this paper to include the uncertainties of RES.…”

Section: Frameworkmentioning

confidence: 99%

Robust frequency constrained uc using data driven logistic regression for island power systems

Rajabdorri

Lobato

Sigrist

2022

IET Generation Trans & Dist

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In the current practice of short-term power scheduling, online power reserves are used to address generation mismatches and contingencies. Neither online inertia nor the speed of the committed units is considered in the scheduling process. With the increasing injection of uncertain renewable energy sources, this practice is starting to fall short, especially in island power systems, where the primary frequency response is already scarce, and any contingency leads to potentially poor frequency response. This paper introduces a data-driven linear constraint to improve the post-fault frequency quality in island power systems. A coherent initial data-set is obtained by simulating the system frequency response of single outages. Then logistic regression is employed as a predictive analytic procedure to differentiate the acceptable and unacceptable incidents. To compare the conventional methods with the proposed approach and also to handle the uncertain nature of renewable energy generation, an adaptive robust unit commitment formulation is utilized. Results for the island power system of La Palma show that depending on the chosen cut-point on the logistic regression estimation the proposed method can improve the frequency response quality of the system while reducing the operation costs.

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Section: Frameworkmentioning

confidence: 99%

Robust frequency constrained uc using data driven logistic regression for island power systems

Rajabdorri

Lobato

Sigrist

2022

IET Generation Trans & Dist

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“…Reference [ 10 ] proposes a scheme for solving adaptive robust SCUC problems using an online adjustment data-driven uncertainty set. Reference [ 11 ] proposes an unexpected robust unit commitment model. However, the above research still has two shortcomings: on the one hand, due to the influence of natural wind speed, the output of wind turbines is highly uncertain, making it difficult to directly establish accurate evaluation models; On the other hand, the above research on power system operation optimization considering the uncertainty of renewable energy output ignores the impact of the demand side.…”

Section: Introductionmentioning

confidence: 99%

A two-stage SCUC model for distribution networks considering uncertainty and demand response

Wang,

Gan,

Zhang

2023

Heliyon

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RETRACTED:Economic management and planning based on a probabilistic model in a multi-energy market in the presence of renewable energy sources with a demand-side management program

Bodong

Wiseong

Chengmeng

et al. 2023

Energy

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Three-Stage Robust Unit Commitment Considering Decreasing Uncertainty in Wind Power Forecasting

Cited by 8 publications

References 35 publications

Robust frequency constrained uc using data driven logistic regression for island power systems

Robust frequency constrained uc using data driven logistic regression for island power systems

A two-stage SCUC model for distribution networks considering uncertainty and demand response

RETRACTED:Economic management and planning based on a probabilistic model in a multi-energy market in the presence of renewable energy sources with a demand-side management program

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