基于案例推理的热力机组在线运行优化调整决策方法  

Case-based online decision support solution for the operation optimization of thermal power units

作　　者：李利平[1] 张春发[1] 牛玉广[1] 贡献[1] 

机构地区：[1]华北电力大学,河北保定071003

出　　处：《中国电力》2007年第9期69-72,共4页Electric Power

基　　金：国家自然科学基金资助项目(50576022)

摘　　要：将基于案例推理的智能方法应用于热力机组的在线运行调整决策支持。对案例选取、特征量选择、案例修改、案例更新等环节进行了详细设计。通过机理分析引入参数间的比值作为特征量,有效降低了参数动态影响,解决了如何搜索一个非稳定过程对应的稳定态相似实例。提出基于多实例间关系的决策因子及可操作性系数以增强基于案例推理(CBR)系统的辅助决策支持能力。基于案例的运行辅助支持系统设计,为复杂连续过程的经济高效运行提供了一种从数据中提炼运行经验的新思路,仿真模型验证了其有效性。The intelligent solution based on case reasoning was applied to the online operation decision support system for thermal power units. The specific procedures such as case selection, representative attributes selection, case adaptation and case updating etc. were designed in detail. The introducing of relative parameters ratio as valid properties can effectively reduce the influence of dynamic parameters, search a similar steady-state case for a non-steady condition. The decision factor and operablity coefficiency were proposed to improve the decision supporting capability of case-based reasoning （C BR） system. This system provides a new strategy for the high-efficlent and economic operation to extract operation experiences from data and its effectiveness was testified by simulation modelling.

关 键 词：火电厂 热力机组 运行优化 案例推理 运行决策支持 

分 类 号：TM732[电气工程—电力系统及自动化]