Research On Operation Characteristics And Optimization Method Of Desulfurization System Based On Process Data

As the country pays more and more attention to energy saving and emission reduction,many power companies have carried out ultra-low emission transformation of desulfurization systems.Although the power plant’s discharge of pollutants is guaranteed,it has greatly increased the power plant’s operating costs.In addition,with the implementation of the environmental protection tax policy,its share in the cost of desulfurization systems has increased significantly.Therefore,to find the best operation mode of desulfurization system between environmental protection taxation and desulfurization system operation cost is of great significance to guide the economic operation of power plant.In this paper,the limestonegypsum wet flue gas desulfurization system of a 660 MW coal-fired unit is taken as the research object.Based on the principle of the minimum sum of environmental protection tax and desulfurization operating cost,the operation process data is used to conduct modeling and optimization research,and the export emission targets value and operational optimization strategies are given.The main research contents are as follows:Firstly,the process flow of limestone-gypsum wet flue gas desulfurization technology is introduced,and the composition and proportion of the operating cost of the desulfurization system are analyzed.A hybrid FCM-LSSVR-BP algorithm is proposed.Using the operation process data of the desulfurization system of a 660 MW unit,the operation cost accounting model of the desulfurization system was established,and the effectiveness of the algorithm was verified by comparison.Secondly,the proportion of environmental protection tax in the comprehensive cost of desulfurization system is analyzed.Based on the principle of the minimum sum of environmental protection tax and the operating cost of the desulfurization system,combined with the desulfurization operating cost accounting model,the GWO optimization algorithm was used to establish the target value model of SO2 concentration emission at the outlet of the desulfurization system,and the update strategy of the relevant parameters of the model was given.Through this model,the influence of unit price of environmental protection tax in different regions and the number of load rate intervals during modeling on the model results are analyzed,and the reliability of the model is evaluated.Then,an improved historical matching load forecasting algorithm is proposed,and the effectiveness of the improved method is verified by using operational process data.Based on the short-term load forecasting model of the unit,a short-term inlet SO2 concentration forecasting model based on GWO-BP neural network was established,and the forecasting performance of the model was verified using the on-site operating data.Finally,Using the historical data of slurry circulation pump start and stop,an online optimized scheduling model group of slurry circulation pump was established,and the influence relationship between unit load,inlet SO2 concentration and the change of outlet SO2 concentration after starting and stopping the pump was given.Combining the target value model of SO2 concentration emission at the outlet of the desulfurization system and the short-term unit load and inlet SO2 concentration prediction,an optimization strategy for the operation of the desulfurization system is proposed,and a software platform for the optimized operation of the desulfurization system was developed,which can guide the optimal operation of the desulfurization system,effectively reduce the operating cost of the desulfurization system and improve the economic operation of power plant.