一种基于粒子群优化算法的燃气轮机自适应热力计算方法  

A Gas Turbine Performance Adaptation Method Based on Particle Swarm Optimization Algorithm

作　　者：应雨龙[1,2] 李淑英[1] 

机构地区：[1]哈尔滨工程大学动力与能源工程学院,哈尔滨150001 [2]上海电气燃气轮机有限公司,上海200240

出　　处：《燃气轮机技术》2015年第4期48-54,共7页Gas Turbine Technology

摘　　要：准确的燃气轮机热力计算模型在燃气轮机性能分析和气路故障诊断应用中起到关键作用。对于当前的热力性能建模技术,在变工况下的热力计算准确性主要取决于燃气轮机各部件(压气机和透平)特性线的精度。为了提高热力计算的精度,本文提出了一种基于粒子群优化算法的燃气轮机自适应热力计算方法,来提高设计工况和变工况下的热力计算准确性。该方法主要分为两步,包括设计点性能自适应和变工况性能自适应。所提出的自适应热力计算方法已经应用于某型三轴船用燃气轮机热力建模中,通过验证表明该方法能够大大提高热力计算的准确性。An accurate gas turbine thermodynamic model plays an important role in gas turbine performance analysis and gas-path diag- nosis. For current thermodynamic modeling technology, the accuracy of off-design thermodynamic calculation is mainly decided by the precision of characteristic maps of each component which are usually obtained over test run and not easily obtained by users or opera- tors. In order to improve the accuracy of thermodynamic model, a gas turbine performance adaptation method based on particle Swarm optimization algorithm has been deve loped in this paper. The proposed approach has been applied in thermodynamic modeling of a three-shaft marine gas turbine and case studies have shown the approach can effectively improve the accuracy of thermodynamic model.

关 键 词：燃气轮机 粒子群优化算法 热力计算 自适应 

分 类 号：TK479[动力工程及工程热物理—动力机械及工程]