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

机译:考虑风电不确定性的空气质量生态补偿系统下的热发电日调度

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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:在空气质量生态补偿(AQEC)系统下,政府提供了财政激励措施来降低空气质量指数(AQIs)。对于火力发电厂而言,将对区域AQI的时空差异影响整合到日前发电计划中可以产生最佳的AQEC。因此,本文提出了在AQEC体系下政府和发电公司双赢的机组承诺和电力分配模型。该模型将多种空气污染物的高斯吹散和随机风能情景纳入了安全约束单位承诺(SCUC)模型,并根据区域人口和AQI水平计算了不同热量单位的AQEC价格。具有最大化总AQEC的目标功能,将SCUC模型公式化为混合整数规划问题。案例研究证明了该模型在降低混合火电和风电系统中的区域AQI方面的有效性。此外,定量分析了AQEC价格和风力发电对AQI减排的影响。

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