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

Abstract

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.