Research on Optimal Matching Method of Variable Stator Vanes for Multi-Stage Compressor Based on Genetic Algorithm

Zhitao Wang, Fan Kuo, Ma Wenqi, Li Tielei, Shuying Li
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引用次数: 2

Abstract

As one of the anti-surge technique, the adjusting scheme of VSV under off-design conditions has a significant impact on the performance of gas turbine. With the limitation of time and cost, it is difficult to study the adjusting scheme of VSV by experimental method under a wide operating range. With the development of the gas turbine simulation, integrated simulation technology is used to study the simulation of whole or part of gas turbine from different views and levels. It has become an effective way to optimize the performance of gas turbine. Based on the existing one-dimensional HARIKA algorithm and the zero dimensional gas turbine simulation model, a new compressor characteristic module and a scaling interface module are built up for studying the characteristics of the variable geometry compressor. The compressor one-dimensional characteristic calculation program is embedded into the zero dimensional gas turbine general model to replace the original compressor characteristic module. Taking the surge margin of LC and the efficiency of gas turbine as the optimization objectives, the optimal VSV matching angle of multi-stage compressor is obviously benefit from using the optimization algorithm based on genetic algorithm. In addition, this paper also analyzes the steady-state performance of the gas turbine. After optimization, the efficiency of the three-shaft gas turbine under different operating conditions was improved by 1.912% on average and the surge margin was increased by 2.78% meanwhile, the fuel consumption was reduced. Thus, the optimization of this paper has proved to be of great significance to improve the performance of gas turbine.
基于遗传算法的多级压气机可变定子叶片优化匹配方法研究
作为抗喘振技术的一种,非设计工况下VSV的调节方案对燃气轮机的性能有着重要的影响。由于时间和成本的限制,在较宽的工作范围内,很难通过实验方法研究VSV的调节方案。随着燃气轮机仿真技术的发展,集成仿真技术开始从不同的角度和层次对燃气轮机整体或部分进行仿真研究。它已成为优化燃气轮机性能的有效途径。基于已有的一维HARIKA算法和零维燃气轮机仿真模型,建立了新的压缩机特性模块和缩放接口模块,用于研究变几何压气机的特性。将压气机一维特性计算程序嵌入到零维燃气轮机通用模型中,取代原有的压气机特性模块。以LC喘振裕度和燃气轮机效率为优化目标,采用基于遗传算法的优化算法对多级压气机的最优VSV匹配角有明显的好处。此外,本文还对燃气轮机的稳态性能进行了分析。优化后,三轴燃气轮机在不同工况下的效率平均提高了1.912%,喘振裕度提高了2.78%,同时降低了燃油消耗。因此,本文的优化对提高燃气轮机的性能具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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