基于多目标差分进化算法的超超临界百万机组无炉水泵启动过程优化  

Multi-objective Differential Evolution Algorithm-based Optimization of Pump-free Startup Process of Million-kilowatt-level Ultra-supercritical Units

作　　者：李书慧 冯海军 LI Shuhui;FENG Haijun(CHN Energy Yongzhou Power Generation Co.,Ltd.,Yongzhou 425000,China)

机构地区：[1]国家能源集团永州发电有限公司,湖南永州425000

出　　处：《电工技术》2024年第21期195-197,200,共4页Electric Engineering

摘　　要：针对当前超超临界百万机组无炉水泵启动能耗量大、启动时间较长的问题,尝试引入多目标差分进化算法对其启动过程进行优化。将启动过程能耗的最小化以及缩短启动时间作为目标,建立目标函数与约束条件,并使用多目标差分进化算法进行求解。在永州公司两台1000 MW的超超临界机组上的应用表明了所提出的方法的可行性和有效性。Aiming at addressing the large energy consumption and long startup duration in the circulating-pump-free startup process of the current ultra-supercritical million-kilowatt-level units,the present work made a preliminary attempt to introduce the multi-objective differential evolution algorithm into the optimization of the boiler′s startup process.The main efforts entailed the establishment of objective function and constraint condition targeted at minimizing energy consumption and shortening startup time,and the solution of the optimization objective using multi-objective differential evolution algorithm.Through tentative application to the optimization of two 1000 MW ultra-supercritical units in the Yongzhou company,the proposed method was verified to be feasible and effective.

关 键 词：多目标差分进化算法 无炉水泵启动 百万机组 超超临界 

分 类 号：TM621.2[电气工程—电力系统及自动化]