Research On Cooperative Removal Optimization Of Coal-fired Ultra-low Emission System

With the increasing demand for electricity year by year,coal-fired thermal power generation is the main way to produce electric energy in China.The emission of sulfur dioxide,nitrogen oxides,particulate matter and other pollutants from coal combustion has caused serious damage to the atmospheric environment.For the problem of pollutants in coal-fired power plants,coal-fired ultra-low emission systems have a synergistic effect on multiple pollutants.However,it is difficult to achieve low-cost and efficient removal of pollutants by independent optimization control among many devices in the system.In this paper,the overall operation cost of coal-fired ultra-low emission system is studied,an improved collaborative optimization method is proposed.The operation cost optimization model of the system is established,and the improved collaborative optimization method is used for optimization,which is of great significance in meeting the ultra-low emission standard and effectively reducing the operation cost.The main research contents of this paper are as follows:(1)For the problem of feasible region and initial point,the collaborative optimization algorithm is improved from two aspects of system level and discipline level.The relaxation factor is added to the system level constraints to ensure the existence of feasible regions for optimization,and the relaxation factor is improved to improve the ability of optimization;The system level objective function is added to the objective function of the discipline level optimization,so that the discipline level optimization can reduce the influence of the initial point under the joint action of the system level and the discipline level.An improved collaborative optimization algorithm is proposed.Through numerical optimization and reducer design optimization cases,the improved collaborative optimization algorithm is compared with the standard collaborative optimization and relaxation collaborative optimization,which proves that the improved algorithm has better optimization ability.(2)According to the operation cost model and removal principle of each equipment in the coal-fired ultra-low emission system,the parameter range of adjustable conditions and ultra-low emission standard are taken as constraints,and the operation cost mathematical model of the system based on the collaborative optimization framework is established.The ultra-low emission system has synergistic effect on multi-pollutant.According to the improved collaborative optimization algorithm,the complex cost optimization problem can be divided into system level optimization and discipline level optimization of denitration,desulfurization and dust removal by removing pollutants.Finally,the improved collaborative optimization and standard collaborative optimization,particle swarm optimization algorithm for simulation comparison,verify the effectiveness of the improved algorithm to solve the operating cost of coal-fired ultra-low emission system.