摘要
火电机组运行优化正成为火电厂运行工作和技术攻关的重要方面.文中结合某300MW燃煤机组运行实例,对其主要性能参数进行敏感性分析,得出性能参数偏差对煤耗率的影响规律,其中,飞灰含碳量、炉膛出口烟气含氧量、排烟温度、凝汽器真空度、给水温度、主蒸汽压力6个参数的每工程单位偏差对煤耗率的影响最大.在此基础上,建立了以煤耗率最低为目标函数的优化模型,并采用遗传算法进行寻优求解.最后,开发了火电机组运行优化软件,并在其上进行机组运行优化计算,得到了一个参数最优化的运行方案.优化结果表明,供电标准煤耗率比原来降低了约1.41 g/(kW.h).
The operation optimization of the steam power unit is important to the normal operation of the unit and it has now proved to be a key technology in steam power plants. In this paper, sensitivity analyses for the main performance parameters of one 300 MW coal-fired power unit are carried out to reveal the effects of parameter deviations on the gross coal consumption rate. The results show that the deviations per engineering unit of 6 parameters, namely, the carbon content of the fly ash, the oxygen content of the flue gas in the furnace chamber outlet, the flue gas temperature, the condensate depression, the feed-water temperature and the main-steam pressure, greatly influence the gross coal consumption rate. Then, an optimization model with the minimum gross coal consumption rate as the object function is established, to which the optimum solution is obtained by genetic algorithm. Moreover, a software for the operation optimization of the steam power unit is developed, which is finally applied to the optimized calculation of the unit. Thus, an operation scheme with optimal parameters is obtained. With the new operation scheme, the gross coal consumption rate decreases by about 1.41 g/（ kW . h）.
出处
《华南理工大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第4期101-105,共5页
Journal of South China University of Technology(Natural Science Edition)
关键词
火电机组
优化运行
敏感性分析
遗传算法
steam power unit
optimized operation
sensitivity analysis
genetic algorithm
