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

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.