The Power System Optimal Dispatch Considering Urban Atmospheric Environmental Capacity And Emissions Trading

Protecting ecology and the environment,maintaining energy security and promoting sustainable development are common challenges faced by the whole world.Thermal power units in the power system occupy a considerable proportion and the coal consumption of thermal power units is particularly high and emissions of air pollutants are considerable."Energy saving and environmental protection,low-carbon emission reduction" has become the main challenges and important goal of the development of power system.Coal-fired power plant has become an important source of air pollutants in the power system.Treatment from the source has a good effect for the control of pollutant emissions and the purification of urban air quality.Power system and the atmospheric environment are inextricably linked.At the background of promoting modernization,urbanization construction while paying attention to ecological civilization,it is of great theoretical and practical significance to study the environmental dispatch of power system with urban air quality forecast and emission trading.The specific work of this paper is as follows:(1)Analyze the intrinsic relationship between power system and environmental science and discuss the environmental capacity of urban air quality and establish the calculation model of urban atmospheric environmental capacity.For the target city,in order to restrict the emission of air pollutants in the region,the spatial correlation between the pollutant discharge and the pollutant concentration was analyzed and the urban atmospheric capacity is calculated by simulation method and the city's atmospheric capacity is solved.There is a complex and interrelated relationship between the distribution and diffusion of pollutants in the urban atmosphere and the meteorological factors.The urban air quality information is grouped and classified by meteorological factors with high degree of influence of urban air quality and pollutant diffusion.The meteorological database was established and BP neural network was used to forecast the urban environment.(2)Study the emissions trading mechanism.The mechanism is based on the market economy as a means by the government to develop laws and regulations,establish trading platform,integrate of resource allocation and control pollutant emissions.Thermal power plant unit sewage characteristics are different.According to a certain standard on the thermal power plant,allocate the corresponding share of the sewage and allow the thermal power plant to sell according to demand or purchase the corresponding share of the sewage.Taking the cost optimization as the incentive means to promote the spontaneous optimization of the pollution characteristics of the thermal power plant to improve the urban air environment quality.(3)The urban atmospheric environmental capacity and emission trading mechanism are introduced into the power system environmental dispatching,and the objective function of the operating cost of the thermal power unit and the cost of the pollutant discharge transaction is constructed.This paper depicts the function relationship between the power output of the thermal power unit and the pollutant discharge of the unit.Considering the power constraint of the thermal power generating unit and the power system power balance,the atmospheric environment capacity constraint of the target city is taken into account.In the power system environment dispatch,the dynamic dual-population particle swarm optimization algorithm(DDPSO)is used to optimize the process to ensure the global optimal and fast convergence.(4)The thermal power units with poor discharge characteristics under the impact of the cost of the environmental discharge the reduce the output,and the units with better sewage characteristics increase the output to ensure the balance of power supply and demand.The unit with better pollutant discharge capacity has a smaller increase in the amount of power generation,while the unit with poor discharge characteristics reduces the amount of electricity generated and the discharge quantity drops significantly,and the discharge capacity of the power system is significantly reduced.The same results were obtained for the dispatch of the power grid in Jinan.Based on the deep analysis of the relationship between the power system and the atmospheric environment,this paper establishes a model of the power system environmental dispatch considering the urban atmospheric capacity and emissions trading.The DDPSO algorithm is used to optimize the environmental dispatch and simulate of the IEEE30 node system and Jinan power grid.The simulation and example results show that this method can effectively reduce the amount of power system emissions,and considerable environmental benefits are obtained at a low economic cost.