In the thermal power generation group,the high delay,large inertia and time-varying parameters of the su-perheated steam desuperheater control system make it difficult for a PID controller to achieve effective control.Additionally,the traditional automatic control strategy lacks interactive means for primary and secondary attemperators.To address these issues,a predictive control algorithm based on LSTM-GA was proposed.Long Short-Term Memory(LSTM)is used to es-tablish a prediction model of the two-stage superheated steam desuperheating system,while Genetic Algorithm(GA)is employed to solve the optimal control quantity of the two-stage desuperheater and realize cooperative optimization predictive control.Based on operational data from a 330 MW sub-critical coal-fired unit,a simulation model is established.Through calculation and analysis,it is demonstrated that the LSTM-GA prediction controller can predict and make judgments in ad-vance with superior speediness,stability,and accuracy compared to traditional PID control.The validation results demon-strate the feasibility and effectiveness of this algorithm,providing a new approach for optimizing overheated steam desuper-heat control in practice.
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