Abstract
A thermal power unit is a very complex non-linear multi-variable control object. It has the characteristics of strong coupling, large inertia, large delay and time-varying parameters. The traditional mathematical model is difficult to describe the non-linear characteristics among the parameters of the unit, and it is difficult to meet the control requirements of unit load, main steam pressure and so on. Based on the more advanced BP neural network modeling method, the mathematical model of the operation of 600MW thermal power unit under low, medium and high load is established by using the actual operation data on site. The method used is novel, and the simulation analysis shows that the model also has a strong engineering practice.
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