Study Of The Circulating Fluidized Bed Boiler Combustion Optimization Based On The Improved Adaptive Quantum Grey Wolf Optimization Algorithm

The total amount of China's economy has been ranked second in the world,and maintained a high level of growth,with people's living standards improved greatly,social power consumption has increased significantly,the social demands for living environment are increasingly high and the people's awareness of environmental protection is becoming more and more intense.At present,China is still based on thermal power generation,which requires the thermal power enterprises not only to improve the efficiency,but also to face the dual task of energy saving and environmental protection.Therefore,the optimization of power plant boiler combustion is very important.If the combustion optimization is achieved,two major problems need to be solved: first,the establishment of accurate model;second,select the best optimization scheme.Therefore,this paper mainly focuses on the research of these two problems,and summarizes the following:Firstly,many improvements are made on the basis of the characteristics of the gray wolf algorithm,contrasting with differential evolution algorithm,particle swarm optimization,gravitation search algorithm,it turned out that the improved grey wolf optimization algorithm has faster convergence rate and higher convergence accuracy.Secondly,the improved grey wolf algorithm is used to optimize the weights and thresholds of the parallel extreme learning machine.The NOx emission prediction model,the thermal efficiency prediction model and the comprehensive prediction model of the boiler combustion are established respectively.Compared with other comparison models,the accuracy of the three increased by at least 5 orders of magnitude,which could predict the parameters of the boiler more effectively and accurately.Finally,the multi-objective optimization is carried out by using this model.The optimization results show that the optimization model can significantly improve the thermal efficiency and reduce the NOx emissions,and achieve the goal of economic and environmental operation of power plant boilers.