中文摘要：

火电机组运行优化目标值的合理确定是关系到机组经济性诊断正确性与准确性的重要因素,该文充分利用火电厂运行数据的关联特性,提出了基于模糊关联规则挖掘的电站运行优化目标值确定方法,利用改进的模糊关联规则挖掘算法从电站运行历史数据中挖掘定量关联规则,以指导优化运行,解决了传统优化目标值确定中对机组实际状态考虑不足而失去指导意义的问题.以某300MW机组历史运行数据为基础,对各典型负荷工况下的历史数据进行挖掘,得到各运行工况下的最优值以指导实际运行.运行试验结果表明,基于模糊关联规则挖掘的运行优化目标值确定方法可以提高机组运行效率,降低污染物排放,优化目标值来源于机组实际运行数据,能够反映机组在特定负荷和相关条件下的最优运行状态,可以指导机组的优化运行.

英文摘要：

The determination of the operation optimization values is very important to the validity and accuracy of the economical analysis in thermal power plants. Based on the association characteristic of the electric industrial data, this paper proposed the operation optimization based on data mining in power plants. The basic structure of operation optimization based on data mining is established and the improved fuzzy association rule mining algorithm is used to find the optimization target values from quantitative values of the equipments to guide the operation in power plant. Based on the actual local data in 300MW unit, the optimal values of each performance targets and operating parameters with the relationship to the load of the unit are found out. The optimal values are provided to the operators online to guide the operation. The experiment results show that the new method can improve the efficiency and decrease the contamination emission. The optimization values by fuzzy association mining reflect the optimal running status and can be used to provide to the operators to guide the operation online.