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In order to reuse mechanism model of thermodynamic equipment in power plant simulator and decrease the dependence on personpsilas experience during the modeling and parameter optimization, a novel integrated and intelligent model structure was put forward based on the feedback theory in automatic control principle. The mathematics modeling process was compared with closed loop control system, their...
Genetic algorithm is presented to optimize dynamic characteristic of superheater system model. The dynamic characteristic is decomposed into three indexes to construct target function. Genetic algorithm is used to optimize model parameters. Validated with transfer function of final superheater system, the model optimized by this method achieves the required accuracy when inlet steam temperature disturbs...
In order to rapidly optimize superheater model parameters to achieve the required precision, ANN and GA are combined to solve the problem. Since the classic optimization methods are not appropriate for mechanism model in power plant simulator, GA is applied to optimize model parameters. Input data, output data of model and optimized parameters are normalized to make learning sample. After ANN is trained...
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