Abstract: Methods and apparatus to optimize turbine ramp rates are disclosed herein. An example method includes predicting a setpoint for a turbine rotor over a prediction horizon. The example method includes predicting a surface temperature profile of the turbine rotor for the prediction horizon based on the predicted setpoint via an empirical data model. The example method also includes predicting a first stress profile for the turbine rotor based on the surface temperature profile. The example method includes performing a comparison of the first stress value to a second stress value and dynamically adjusting the setpoint based on the comparison.

Abstract: A control system for controlling a steam turbine power plant having multiple steam flow paths that converge to a combined steam path controls the final steam temperature of the steam input into the turbine by controlling one or more temperature control devices in each of the steam flow paths. The control system includes a multivariable controller, such as a multi-input/multi-output (MIMO) controller, that produces two control signals that control each of a set of downstream control valves in the split steam flow paths. The controller receives two inputs in the form of measured or calculated process variables including the final steam temperature and the inter-stage temperature difference between the steam being produced in each of the two split steam paths and performs multi-objective control based on these inputs.

Abstract: A control system for controlling a steam turbine power plant having multiple steam flow paths that converge to a combined steam path controls the final steam temperature of the steam input into the turbine by controlling one or more temperature control devices in each of the steam flow paths. The control system includes a multivariable controller, such as a multi-input/multi-output (MIMO) controller, that produces two control signals that control each of a set of downstream control valves in the split steam flow paths. The controller receives two inputs in the form of measured or calculated process variables including the final steam temperature and the inter-stage temperature difference between the steam being produced in each of the two split steam paths and performs multi-objective control based on these inputs.

Abstract: A control system uses a modeled steam turbine megawatt (power) change attributed to a gas turbine demand change (i.e., a steam turbine to gas turbine transfer function) within a conventional closed loop feedback control scheme to perform control of a combined cycle power plant. This control system implements a form of internal model control and provides better unit megawatt (power) set-point tracking and disturbance variable rejection for overall more robust control, and thus operates to optimize the gas turbine operation of the combined cycle power plant in a manner that provides cost savings over time.

Abstract: Methods and apparatus to optimize turbine ramp rates are disclosed herein. An example method includes predicting a setpoint for a turbine rotor over a prediction horizon. The example method includes predicting a surface temperature profile of the turbine rotor for the prediction horizon based on the predicted setpoint via an empirical data model. The example method also includes predicting a first stress profile for the turbine rotor based on the surface temperature profile. The example method includes performing a comparison of the first stress value to a second stress value and dynamically adjusting the setpoint based on the comparison.

Abstract: A control system uses a modeled steam turbine megawatt (power) change attributed to a gas turbine demand change (i.e., a steam turbine to gas turbine transfer function) within a conventional closed loop feedback control scheme to perform control of a combined cycle power plant. This control system implements a form of internal model control and provides better unit megawatt (power) set-point tracking and disturbance variable rejection for overall more robust control, and thus operates to optimize the gas turbine operation of the combined cycle power plant in a manner that provides cost savings over time.