Abstract
When the current method is used to optimize the denitrification system in thermal power plants, the control performance is not high and the error is large. Therefore, an optimization control algorithm for the operation efficiency of flue gas denitrification system in thermal power plants is proposed. The flue gas flow forecasting model is established to control the future dynamic behavior through the forecasting model. The optimal control variables are solved and revised by using the control method of multi-variable constrained interval to complete the optimal control of flue gas denitrification system operation in thermal power plants. The simulation results show that the control error of the proposed algorithm is low, which shows that the control performance of the algorithm is good.
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Ren, J., Liu, Y. (2020). Operating Efficiency Optimal Control Algorithms of Flue Gas Denitrification System in Thermal Power Plant. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_90
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DOI: https://doi.org/10.1007/978-3-030-43309-3_90
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