Modeling of Steam Turbine Combined Cycle Power Plant Based on Soft Computing

摘要

In this article for the first time, a nonlinear model of steam turbine without re-heater (160 MW) that is used in many power plants based on soft computing techniques and using real, has been modeled data. The Modeling includes: low-pressure turbine (LP), high pressure turbine (HP) and control valves. For the more accurate the results, model is divided into two sub model: 1- above 85 MW 2- under 85 MW. This model has been prepared based on modification of existing linear and nonlinear models and Using fuzzy rules. Fuzzy transfer functions have been trained using real data and neural networks techniques. Eventually, the comparison between the response of the proposed Fuzzy-neural model outputs and actual model and a widely used linear model outputs can be confirmed accuracy.