Particle swarm optimization algorithm identification-based gas turbine component characteristic line correction method

Abstract

The invention relates to a particle swarm optimization algorithm identification-based gas turbine component characteristic line correction method. On the basis of the particle swarm optimization algorithm identification-based gas turbine component characteristic line correction method, the component characteristic lines of gas turbines can be simply and effectively corrected to be matched with real component characteristic lines of actual target gas turbines, so that the thermodynamic calculation precision is greatly improved and the negative influences caused by inaccuracy of thermodynamic models to gas circuit performance diagnosis results can be effectively eliminated. The method provided by the invention is suitable for correcting the component characteristic lines of a set of gas turbines with a same model and correcting the component characteristic lines of known other models of gas turbines, the corrected component characteristic lines of thermodynamic models are matched with the real component characteristic lines of the actual target gas turbines, so that the thermodynamic calculation precision is improved and a foundation is laid for correct unit performance analysis and gas circuit diagnosis.

Description

technical field [0001] The invention relates to a method for correcting characteristic lines of gas turbine components. Background technique [0002] Establishing an accurate gas turbine thermal model is a crucial prerequisite for successful unit performance analysis and gas path diagnosis. Under the current gas turbine thermal modeling technology, the accuracy of the performance model mainly depends on the characteristic lines of its components (compressor and turbine) and the accuracy of the calculation program for the thermal properties of the working fluid, especially the accuracy of the component characteristic lines. The characteristic lines of these components actually need to be obtained by rigorous tests on the engine test bench under different operating conditions. Because test bench tests are time-consuming and expensive, it is impossible for engine manufacturers to obtain component characteristic lines for every gas turbine. Therefore, manufacturers usually onl...

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Problems solved by technology

Due to the strong nonlinear characteristics of gas turbines, it is very difficult to achieve the purpose of reducing the calculation error of the thermal model in a large range of variable operating conditions by using a single group of optimized proportional coefficients.

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