Research On Approach Analysis And Optimization Model Of CO₂Emission Reduction Of Power Generation Side In China

Electricity is a high-quality clean energy, but the resources are consumpted and the various polluants are emitted in the process of power generation, especially the CO2emission, so the emission of power industy is focused in China. In the powe industry chain, the generation side is the direct link of CO2emission, and the generation side CO2emission reduction has become a priority in the power industry. At present, the administrative means are used to promote the energy-saving and emission reduction in China’s power industry, including the energy planning policy, shutting down small power units, CO2emission regulation. But there are obvious deficiencies in range of implementation of these measures in force and intervention, it mainly contains that the CO2emission reduction approach is not smooth and the allocation of power optimization is irrational. In order to better delier our country’s CO2emission reduction, the new CO2emission reduction mechanism need to be introduced in the power generation side, finally the enthusiasm and interests of the subjects are improved, the power structure and resources are configurated. Taking the mentioned as the background, this thesis mainly studies the joint scheduling of thermal power units, regional CO2emission reduction mechanism, wind-fire power generation combination CO2emission reduction mechanism, distributed clean energy group scheduling, the economy and benefit mechanism of bundling of wind-fire,the corresponding models and methods are put forward.Thermal power unit is an important contribution source of CO2emission. According to the cost, energy consumption and emission quantity, the thermal power unit scheduling optimization models and multi-objective model are established respectively, and these models are compared with the traditional electricity distribution model, the conclusion is that the muliti-objective model can better take into account the cost of power generation, the unit fuel and CO2emission, it will provide more accurate analysis basis for the formulation of CO2emission reduction policies.The control of CO2emission need the coordination of regional power units, the regional combined CO2emission reduction is an effective way. Considering the cost of power generation, reserve cost, transmission cost and emission cost, this thesis develops the regional power generation cost optimization model, environmental benefit optimization model, comprehensive optimization model, studies the change of benefit of regional energy optimizaiton where clean energy participates, also the effect of carbon price to guide the energy optimization is studied.The complementary mechanism is an important means of CO2emission reduction of different types of power in the generation side. According to the analysis of causes of disposable wind and measures, the generating interest analysis model considering the generation right trading is constructed. In different conditions of wind power forecasting, the earning of the wind farm and the thermal power unit are studied. The reducing of disposable wind is put as an objective, the optimization model of wind-fire bundling scheduling is constructed, and the output of every unit is optimized.The generation combination of distributed clean energy group is a new CO2emission reduction mechanism. Based on the cost analysis of different types of power units, the power generation scheduling models under different goals are constructed, through the analysis of examples, the power generation cost and CO2emission quantity is minimum under the goals of mimimum disposable wind and light. The price of Time of Use (TOU) is introduced, based on the load change, the minimization scheduling model of power generation cost and compensation cost is constructed, the examples illustrate that the environmental and economic benefits increased obviously after the TOU price is introduced.In the wind-fire bundling delivery, the economy and emission reduction benifets of all participants is the important impetus of generation side CO2emission reduction. Considerting the income of transmission power and large users to buy electricity, the maximize profit of grid enterprise model and the minimize generation cost under reasonable disposable wind are constructed. Through the example, the excess profit of cooperative game subjects is calculated. The contribution rate evaluation model of wind-fire bundling delivery increasing, the scores of all kinds of contribution rate of benefit subjects are all calculated from theory. Finally, the income allocation model of wind-fire bundling delivery is constructed, through the example the comprehensive contribution rate and profit quota of wind-fire units, grid enterprise and large electricity users are given, these two indicators show the positive relationship, this conclusion can encourage the wind power consumption, effectively reduce the emission of CO2.