摘要
介绍和分析了通过煤耗在线检测系统(PDAS)获取机组耗量特性曲线的具体方法:计算机组负荷率、主蒸汽流量、主蒸汽压力、主蒸汽温度、再热蒸汽温度、排烟温度和排烟氧量7个指标在某一时段内的变化量来判断机组稳定工况;优化耗量特性数据,进行数据"二次"重构;机组耗量特性曲线拟合,保持耗量特性曲线与机组实际情况同步,更真实地放映机组经济性能;建立基于动态规划法的厂级负荷优化分配计算模型;设计了基于煤耗在线系统的厂级负荷优化分配系统。PDAS投入到实际应用,可以达到真正意义的节能减排。
The specific method for obtaining consumption characteristics curve of units by PDAS is introduced and analyzed： stable operating condition of units is determined by variance of load rate calculation, main steam flow, pressure, tempera- ture, reheat steam temperature, temperature and oxygen content of exhaust smoke in a period of time; consumption charac- teristic data is optimized for ＂secondary＂ data reconstruction; consumption characteristic curves are fitted and synchroniza- tion between consumption characteristic curve and practical situation to truly reflect economic performance of units; calcula- tion model for optimized load distribution based on dynamic programming is established; optimized load distribution based on online system for coal consumption. The application of PDAS can achieve energy cones rvation and emission reduction i. real sense.
出处
《广东电力》
2012年第6期81-85,共5页
Guangdong Electric Power
