Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity

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ID: 268876
2018
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Abstract
Conventional environmental-economic power dispatch methods constrain the total amount of emissions of power plants, and they succeed in reducing emissions from the power sector. However, they fail to address the mismatch between emission reductions and the resulting changes in regional air quality. This paper proposes an ecology- and security-constrained unit commitment (Eco-SCUC) model considering the differentiated impacts of generation-associated emissions on regional air quality. A Gaussian puff dispersion model is applied to capture the temporal-spatial transport of air pollutants. Additionally, an air pollutant intensity (API) index is defined for assessing the impacts of emissions on the air quality in regions with differentiated atmospheric environmental capacities. Then the API constraints are formulated based on air quality forecast and included in SCUC model. Moreover, the stochastic optimization is employed to accommodate wind power uncertainty, and the Benders decomposition technique is used to solve the formulated mixed-integer quadratic programming (MIQP) problem. Case studies demonstrate that the Eco-SCUC can cost-effectively improve air quality for densely-populated regions via shifting generation among units and can significantly reduce the person-hours exposed to severe air pollution. Furthermore, the benefits of wind power for air quality control are investigated.
Reference Key
guo2018sustainabilitysecurity-constrained Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Danyang Guo, Jilai Yu, Mingfei Ban, Danyang Guo, Jilai Yu, Mingfei Ban
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Journal sustainability
Year 2018
DOI
10.3390/su10051433
URL
https://dx.doi.org/10.3390/su10051433
Keywords
unit commitment power dispatch regional air quality air pollutant dispersion threshold concentration

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