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• W4384563653 endingPage "104801" @default.
• W4384563653 startingPage "104801" @default.
• W4384563653 abstract "Accurate and effective pollutant emission control models are key in mitigating the environmental impact of energy supply systems. This paper proposes a novel high-dimensional multi-objective optimal dispatching strategy for power systems considering the spatial and temporal distribution of multiple pollutants. Firstly, a spatial and temporal distribution model of pollutants in thermal power plants is constructed, which is truly applicable to power dispatch. For the first time, the daily changes in the atmospheric boundary layer are taken into account, fully reflecting the pollutant dispersion characteristics of thermal power plants and improving the result accuracy. Next, a high-dimensional multi-objective optimization model is developed to simultaneously reduce the cost of power generation, carbon emission and the impact air quality from VOCs (volatile organic compounds), SO2 and NO2. This model combines the spatial and temporal distribution characteristics of various pollutants and environmental capacity. Finally, a representative high-dimensional multi-objective optimization algorithm is employed to obtain an approximate Pareto-optimal solution set. And a multi-objective decision method is proposed to filter the compromise solution. The results show that the GLCs of VOCs, SO2 and NO2 are reduced by 27.5%, 10.13% and 23.16%, respectively, in the pollution day model. On non-pollution days, the proposed scheduling method not only effectively improves air quality, but also achieves cost savings of $1276.59 and reduces CO2 emission by 0.168 × 104t compared to the emission limitation method. The proposed scheduling method can not only effectively improve air quality, but also make corresponding adjustments according to the spatial and temporal changes of environmental capacity, which can truly realize economic and environmental-friendly power scheduling." @default.
• W4384563653 created "2023-07-18" @default.
• W4384563653 creator A5021800924 @default.
• W4384563653 creator A5031146471 @default.
• W4384563653 creator A5065039074 @default.
• W4384563653 date "2023-11-01" @default.
• W4384563653 modified "2023-10-16" @default.
• W4384563653 title "Multi-objective optimal dispatch strategy for power systems with Spatio-temporal distribution of air pollutants" @default.
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• W4384563653 doi "https://doi.org/10.1016/j.scs.2023.104801" @default.
• W4384563653 hasPublicationYear "2023" @default.
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