On Comparison of Two Approaches for Steam Turbine Optimizing Start-Up

Abstract

According to the operating conditions, operating rules and procedures of the steam turbine, a 300MW steam turbine cold start mathematical model was established, and the finite element 3-D modeling and simulation of the 300MW condensing steam turbine rotor was carried out. By using ANSYS. Calculate the stress value of cold start-up according to the cold start curve under standard conditions. The start-up curve design of the initial working condition is inefficient. This paper uses genetic algorithm and particle swarm optimization algorithm to optimize and analyze the turbine mathematical model, draw a new cold start-up curve, and then load the cold start curve into the model. The ANSYS calculates the optimal thermal stress value. After calculating the stress, compare the results on the initial working condition with the results after two optimizations. In contrast, under the premise of ensuring that the thermal stress value of the turbine rotor does not exceed the limit value of the rotor, the startup time is shortened and the economy is improved.