Optimization of Control Strategy of Steam Turbine and Its Auxiliary System Based on Neural Network
In this paper,a research method based on neural networks is proposed to optimize the control strategy of steam turbines and their auxiliary systems.By establishing the neural network model,the intelligent monitoring and optimal control of turbine running state are realized.The effectiveness and practicability of this method are verified by the simulation and analysis of a real case.The results show that the turbine control strategy optimization based on neural network can improve the stability and efficiency of the system,and provide a new technical approach for turbine operation management.
steam turbineneural networkcontrol strategyoptimizationauxiliary system
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