考虑大气污染时空分布的风火联合系统多目标优化调度

提出一种考虑大气污染时空分布的风火联合多目标优化调度方法。首先，构建一种考虑大气边界层日变化的污染物时空分布模型，从污染物地面浓度和时空分布的角度衡量污染物影响。然后，基于该模型建立风火联合多目标调度模型，利用地理网格内插方法和风速模型对风力发电和污染物时空分布进行耦合，并在调度模型中充分考虑风电场出力和污染物时空分布的随机性。最后，利用机会约束的求解方法对模型中机会约束进行转化后，针对经济、碳排放和平均污染综合评价值三个目标结合多目标优化方法和随机规划进行求解。IEEE 39节点和广东省算例表明:大气污染体现了极强的时空相关性和天气依赖，该策略不仅可有效减轻火电厂造成的大气污染影响，还可减缓恶劣天气清洁能源出力小且污染物积聚的严重污染情况。

Multi-objective Optimization Dispatching for Wind-Thermal Power Joint System Considering Temporal and Spatial Distribution of Air Pollutants

This paper proposes a multi-objective optimization dispatching method for wind-thermal power joint system considering temporal and spatial distribution of air pollutants. Firstly, a temporal and spatial distribution model of pollutants is constructed, which takes the diurnal variation of the atmospheric boundary layer into account. The impact of pollutants emission is evaluated from ground-level air pollutant concentration and the spatial and temporal distribution of pollutants. Besides, based on the model above, a multi-objective optimization dispatching model for wind-thermal power system is constructed. The method of interpolation for geographic grid and the wind speed model are used to couple wind power generation and the spatial and temporal distribution of pollutants, and the randomness of output of wind power plant and temporal and spatial distribution of pollutants is taken into full consideration in dispatching model. Finally, the chance constraint of model is transformed by chance-constrained stochastic program, meanwhile, the multi-objective optimization method is employed to solve the optimization problem of the three targets, which include the economic cost, carbon emission and comprehensive assessment on pollutants. The cases of IEEE 39-bus system and Guangdong power grid indicate that, the distribution of air pollutants has spatial and temporal correlation with the meteorological condition. The method can not only reduce the air pollution caused by thermal power plants effectively, but also handle the extreme cases where the output generated from clean energy is limited and air pollutants are accumulated.