A Study on the Intelligent Control Optimization of the Thermal Power Unit Based on the Embedded Advanced Algorithms
Based on the data of the load variation test of the thermal power unit,the embedded advanced algorithms such as the fuzzy algorithm and the ARX algorithm were used to predict and optimize the key parameters like the main steam pressure and the intermediate point temperature.Through the system analysis and test verification,the optimized control system significantly improved the load response speed and the steady-state accuracy,and effective-ly reduced the fluctuation ranges of the superheated steam and reheated steam temperatures.Besides,both the tem-perature variation of the intermediate point and the pressure deviation of the furnace decreased.Those results show that the optimized control model can perform well in operation,which provides effective support for automatic gener-ation control(AGC)of the thermal power unit.
fuzzy algorithmARX algorithmembedded advanced algorithmautomatic generation control
万方数据
维普
