基于随机森林的变工况下重型燃气轮机压气机特性分析研究

Study on Characteristics Analysis of Heavy-Duty Gas Turbine Axial Compressor Under off-Design Condition

为保证不同工况下重型燃气轮机发电机组的高效、稳定运行,需要对其轴流式压气机性能进行高精度建模分析。本文以某F级重型燃气轮机为研究对象,有效结合实测数据和基元叶栅法理论计算值,采用随机森林方法,建立其压气机高精度特性计算模型,从而分析不同工况下的压气机性能。结果表明:模型计算的总压比和多变效率的平均相对误差分别为-0.13%和0.04%;最大相对误差分别为2.11%和1.90%。现有文献的模型最大相对误差分别为3.1%和4.4%,本文方法得到的最大误差仅分别为其68.06%和43.18%。

In order to keep the heavy-duty gas turbine power unit to work efficiently and stably under different conditions, we need to build the high accurate performance model of the axial compressor. This paper aims at the axial compressor of a type of F level gas turbines. Based on measured data and calculated data through cascade element method, the random forest method is applied to build the characteristics calculation model with high accuracy. Then the performance of compressor can be analyzed under the off-design condition. The results show that the average error of the total pressure ratio and polytropic efficiency obtained through the calculation model is-0.13% and 0.04%, respectively. While the maximum relative error of the total pressure ratio and polytropic efficiency is 2.11% and 1.90%, respectively. The maximum relative error of the existing literature are 3.1% and 4.4%, respectively. The maximum error obtained by this method are only 68.06% and 43.18% of the former respectively.