Optimization of steam turbine start-up based on nonlinear function

Abstract

Taking a 300MW steam turbine unit as the research object, this optimization uses ANSYS finite element software to simulate the start-up scheme under the standard working condition, then uses ANSYS software to calculate the start-up schemes with different temperature rise rates, extracts the data of the real-time damage value and the time corresponding to the temperature rise rate, and then uses the nonlinear regression method to fit the data the real-time damage value and time ti are combined into a nonlinear equation, which is brought into our model, and then the optimal t i value, that is, the optimal startup scheme, is calculated by genetic algorithm. Finally, the stress value of the most effective start-up scheme is analyzed. Under the premise of ensuring the safe operation of the unit, the total start-up time is shortened by 34.83min, the efficiency is improved, and the economic type of the unit start-up process is also improved.