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Day-Ahead Scheduling of Thermal Generation under Air Quality Ecological Compensation System Considering Wind Power Uncertainty

机译:考虑风能不确定性的空气质量生态补偿系统下热电生成的一天提前调度

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Under the air quality ecological compensation (AQEC) system, the government provides financial incentives to lower air quality indexes (AQIs). For thermal power plants, integrating the temporally and spatially differentiated impacts on regional AQI into day-ahead generation scheduling can result in an optimal AQEC. Thus, this paper proposes a win-win unit commitment and power dispatch model for the government and generation companies under the AQEC system. The model incorporates the Gaussian puff dispersion of multiple air pollutants and stochastic wind power scenarios into the security-constrained unit commitment (SCUC) model, and the AQEC prices for differentiated thermal units are calculated based on regional population and AQI level. With the objective function of maximizing total AQEC, the SCUC model is formulated as a mixed-integer programming problem. Case studies demonstrate the effectiveness of the proposed model in reducing regional AQI in a hybrid thermal and wind power system. Furthermore, the impacts of AQEC price and wind generation on AQI abatement are quantitatively analyzed.
机译:根据空气质量生态补偿(AQEC)制度,政府为降低空气质量指数(AQIS)提供财务激励。对于热电厂,将时间上和空间分化的对区域AQI的影响集成到前方的一代调度中可能导致最佳AQEC。因此,本文为AQEC系统下的政府和一代公司提出了双赢单位承诺和权力派遣模式。该模型包括多个空气污染物和随机风力情景的高斯粉扑分散,进入安全受限的单位承诺(SCUC)模型,以及差异化热单元的AQEC价格基于区域人群和AQI水平计算。通过最大化总AQEC的目标函数,SCUC模型被制定为混合整数编程问题。案例研究证明了提出模型在减少混合热电动力系统中减少区域AQI的有效性。此外,定量分析了AQEC价格和风发给AQI减排的影响。

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