Abstract: An apparatus for optimizing control parameters of a power plant is provided. The apparatus for optimizing control parameters of a power plant includes: a model generator configured to configure a forecast model including a process model and a control model, a model corrector configured to correct a first parameter of the process model through operation data of a real power plant, and a tuner configured to tune a second parameter, which is a parameter related to a time delay of the forecast model, so as to have a target load increase rate.

Abstract: An apparatus for automatically tuning a fluid temperature PID (proportional-integral-differential) controller is provided. The apparatus for automatically tuning a fluid temperature PID controller includes: a setter configured to calculate an initial value of a gain of a controller configured to control a fluid temperature by deriving a physical property of the fluid temperature, and a tuner configured to tune the initial value of the gain of the controller using an artificial intelligence neural network algorithm according to a control target.

Abstract: An apparatus for automatically tuning a fluid temperature PID (proportional-integral-differential) controller is provided. The apparatus for automatically tuning a fluid temperature PID controller includes: a setter configured to calculate an initial value of a gain of a controller configured to control a fluid temperature by deriving a physical property of the fluid temperature, and a tuner configured to tune the initial value of the gain of the controller using an artificial intelligence neural network algorithm according to a control target.

Abstract: An apparatus for optimizing control parameters of a power plant is provided. The apparatus for optimizing control parameters of a power plant includes: a model generator configured to configure a forecast model including a process model and a control model, a model corrector configured to correct a first parameter of the process model through operation data of a real power plant, and a tuner configured to tune a second parameter, which is a parameter related to a time delay of the forecast model, so as to have a target load increase rate.

Abstract: An apparatus for reducing an error of a physical model using an artificial intelligence algorithm is provided. The apparatus for reducing an error of a physical model includes: a modeling deriver configured to derive a physical model of a process including error terms representing a modeling error, and a corrector configured to correct the physical model by deriving the error terms from the physical model using real data.

Abstract: A hybrid power generation system using a supercritical CO2 cycle includes a steam power generation unit including a plurality of turbines driven with steam heated using heat generated by a boiler to produce electric power, and a supercritical CO2 power generation unit including an S—CO2 heater for heating a supercritical CO2 fluid, a turbine driven by the supercritical CO2 fluid, a precooler for lowering a temperature of the supercritical CO2 fluid passing through the turbine, and a main compressor for pressurizing the supercritical CO2 fluid, so as to produce electric power. The steam power generation unit and the supercritical CO2 power generation unit share the boiler. The hybrid power generation system may improve both the power generation efficiencies of the steam cycle and the supercritical CO2 cycle by interconnecting the steam cycle and the supercritical CO2 cycle.

Abstract: A hybrid power generation system using a supercritical CO2 cycle includes a steam power generation unit including a plurality of turbines driven with steam heated using heat generated by a boiler to produce electric power, and a supercritical CO2 power generation unit including an S—CO2 heater for heating a supercritical CO2 fluid, a turbine driven by the supercritical CO2 fluid, a precooler for lowering a temperature of the supercritical CO2 fluid passing through the turbine, and a main compressor for pressurizing the supercritical CO2 fluid, so as to produce electric power. The steam power generation unit and the supercritical CO2 power generation unit share the boiler. The hybrid power generation system may improve both the power generation efficiencies of the steam cycle and the supercritical CO2 cycle by interconnecting the steam cycle and the supercritical CO2 cycle.