摘要
对某沿海电厂1 000MW火力发电机组海水烟气脱硫系统在定负荷条件下,建立了基于最小二乘支持向量机的脱硫效率优化模型。利用遗传算法对烟气入口SO2浓度、净烟气流量、净烟气温度、海水升压泵电流、吸收塔入口海水流量与温度等运行参数进行寻优,获得了当前负荷条件下提高机组脱硫效率的优化调整策略,确定了海水脱硫系统变工况运行参数基准值。实际应用结果表明,采用该优化调整策略可以使系统脱硫效率由96.784%提高到98.636%。
An efficiency-optimizing model for flue gas desulphurization system of 1000 MW thermal power unit in one seaside thermal power plant has been established under constant load,and based on the least square support vector machine.By using the genetic algorithm,the operational parameters,such as the SO2 concentration in the inlet flue gas,the flow rate of pure gas,the temperature of pure flue gas,the electric current of seawater boosting pump,the seawater flow rate and temperature at inlet of the absorption tower,etc.,have been optimized,obtaining the optimization and regulation strategy to enhance the desulphurization efficiency of unit under condition of same load at present.Test on actual unit show that the application of said strategy can enhance the desulphurization efficiency from 96.784% to 98.636%.The reference values of operation parameters for desulphurization system have been determined.
出处
《热力发电》
CAS
北大核心
2011年第10期25-28,共4页
Thermal Power Generation
基金
广东省产学研结合项目(2010B090400111)
关键词
1000MW机组
海水烟气脱硫
海水流量
海水温度
脱硫效率
1000 MW unit
desulphurization using seawater
flue gas
seawater flow rate
seawater temperature
desulphurization efficiency
