The Coordination Mechanism Research For Low Carbon Production Multi-Objective Optimization Of Power System

Because of the serious greenhouse effect, carbon dioxide emissions have always been considered to be non-toxic harmless, now they have become one of the atmospheric pollutants. Power system in China as carbon emitters. How to reducing its carbon emissions is one of important ways to achieve a low carbon economy and social sustainable development in our country. According to the characteristic of rich hydropower resources in our country and satisfing the basic operating conditions of the power system, the thesis studies the mechanism coordination for low carbon production multi-objective optimization of power system, in order to achieve the purpose of the reliability, economy and environmental protection balanced development, discussing the possibility of low carbon producing.The thesis analyzes the thermal power plant coal consumption characteristics and carbon dioxide pollution such as gas emission characteristics, analyzes the influence of coal quality to coal prices and power carbon emissions, looks for the relationship between coal prices and coal quality. According to the generation mechanism of cascade hydropower stations,the thesis looks for the relationship between natural inflow, hydropower station capacity, power head and other parameters, establishes the power cogeneration model of cascade hydropower stations. The thesis also improves the particle swarm optimization algorithm which is simple principle, easy realization, simple operation, flexibility and having excellent effect, and then gets the hybrid particle swarm optimization. Through the tests and comparison, we found that hybrid particle swarm optimization is better than the basic particle swarm optimization, and it is suitable to solve the power system optimization problems.Base on the coal quality analysis, the5thermal power plants system has been done the multi-objective optimization scheduling, the results shows that multi-objective optimization can balance the economic benefits and environmental benefits. At the sane time, we discuss the coal consumption, plant efficiency and pollution emissions under different coal quality. At last,the thesis studies the carbon tax, electricity pricing mechanism of power system with carbon tax and emission model, builds the power system multi-objective optimization scheduling model with carbon tax. The3thermal power plants and a cascade hydropower plant with4hydropower stations in the composition of the system as an example, the results show that the power system multi-objective optimization scheduling with carbon tax can balance the contradiction between economy and environment, improve water utilization rate, reduce consumption and emissions, and achieve the low carbon production.