Pollutants emitted from coal-fired power plants lead to the deterioration of air quality in developing countries

and contribute to both mortality and morbidity. To improve air quality from power generation

new dispatch strategies incorporated with air pollution dispersion models should be considered. This paper takes into account the impact of meteorological variations on spatio-temporal dispersion of pollutants. Depending on the coal-fired pollutant concentration estimated by the Gaussian plume dispersion model

exposure-response functions are used to quantify the resulting health effects. Furthermore

the corresponding economic costs of health damages are incorporated to penalize the power dispatch. Considering generation costs and economic costs of health damages

this paper formulates a two-stage stochastic optimization model of a multi-energy generation system including coal units

gas units

and photovoltaic stations. Finally

numerical studies based on a modified IEEE 14-node system are performed for illustration and validation.