Multi-Objective Optimal Dispatching For Power System Considering Temporal And Spatial Distribution Of Air Pollutants

In recent years,our country keeps promoting energy transformation and energy reform,and the utilization rate of new energy in the power generation industry rise continually.However,fossil-fired power generation still occupied a dominant position in power generation industry.Fossil-fired power generation emit a large amount of air pollutants such as sulfur dioxide,nitrogen oxides,and particulate matter.The air pollution problem caused by fossilfired power generation still needs the continuous attention of the country and the power industry.The environmental economic dispatching for power system performed macro-control on the environmental pollution problem caused by power generation from the level of power dispatching,without additional construction and governance costs,and it thus has received widespread attention.In order to study environmental economic dispatching for power system,this paper analyzes the main factors affecting the distribution of air pollutants.Based on the classical Gaussian puff model,the diurnal evolution of the atmospheric boundary layer and its influence are fully considered,and then three main pollutant diffusion forms as fumigation diffusion,enclosed diffusion,and downward inhibited diffusion are modeled.Then based on the model above,the multi-objective dispatching model is constructed,and the multi-objective optimal dispatching strategy for wind-thermal power joint system considering the spatial and temporal distribution of air pollutants is proposed.In the dispatching model,the randomness of wind farm output and pollutants distribution is fully considered.Finally,the model with chance constraint is transformed into a definite model,and then the multi-objective optimization algorithm is used to solve the multi-objective environmental economic dispatching optimization problem that set economic cost,carbon emission and pollutants comprehensive evaluation value as its objectives.The proposed dispatching model and strategy are simulated and analyzed in two weather scenarios to verify the effectiveness.Then this paper proposes an environmental economic dispatching strategy for the electricity-gas interconnection system that takes into account the temporal and spatial diffusion of atmospheric pollutants and P2 G in coastal areas.As the uneven conditions of the underlying surface in the coastal area,the existence of special atmospheric phenomena and the characteristics of the atmospheric layer structure,this paper constructs an atmospheric pollutants distribution model that takes into account the local sea-land circulation and the thermal inner boundary layer.On the basis of the distribution model,a multi-objective environmental economic dispatching model for electricity-gas interconnection system is constructed with economic costs,carbon emissions,and pollutants comprehensive evaluation value as its optimization objectives.Finally,considering the privacy and decentralized autonomy of the power network and natural gas network,this paper uses a multi-objective decentralized optimization algorithm to solve the electricity-gas decentralized collaborative optimization problem.Case study is carried out on an electricity-gas interconnection system to verify the effectiveness of the strategy.