Abstract:
The present disclosure is directed to a system and method for controlling an energy storage device by more accurately detecting an end-of-discharge voltage of the energy storage device. More specifically, in one embodiment, the method includes determining an end-of-discharge voltage threshold for the energy storage device. Another step includes filtering the end-of-discharge voltage threshold via a filter. The method also includes adjusting a time constant of the filter based on at least one voltage-current condition. Still a further step includes comparing the filtered end-of-discharge voltage threshold and a terminal voltage of the energy storage device. Based on the comparison, the method includes determining a change of state of the energy storage device. Thus, the energy storage device can be controlled based on the change of state.
Abstract:
A control system for a power plant includes a sensor that measures a rotor surface temperature of a steam turbine rotor, where the temperature is a function of exhaust gasses from a heat source for heating steam to a target temperature. The control system includes a controller coupled to the sensor and configured to compute the target temperature using an inverse process model for steam turbine rotor stress dynamics, and based on a reference steam turbine rotor stress and a feedback steam turbine rotor stress, compute a measured steam turbine rotor stress based on a measured surface temperature of the steam turbine rotor, compute an estimated steam turbine rotor stress using a process model for the steam turbine rotor stress dynamics, and based on the target temperature, and compute the feedback steam turbine rotor stress based on the measured steam turbine rotor stress and the estimated steam turbine rotor stress.
Abstract:
A control system for a power plant includes a sensor that measures a rotor surface temperature of a steam turbine rotor, where the temperature is a function of exhaust gasses from a heat source for heating steam to a target temperature. The control system includes a controller coupled to the sensor and configured to compute the target temperature using an inverse process model for steam turbine rotor stress dynamics, and based on a reference steam turbine rotor stress and a feedback steam turbine rotor stress, compute a measured steam turbine rotor stress based on a measured surface temperature of the steam turbine rotor, compute an estimated steam turbine rotor stress using a process model for the steam turbine rotor stress dynamics, and based on the target temperature, and compute the feedback steam turbine rotor stress based on the measured steam turbine rotor stress and the estimated steam turbine rotor stress.
Abstract:
A cooling fluid flow control system for a turbine section of a steam turbine system and a related program product are provided. In one embodiment, a system includes at least one computing device operably connected to a cooling system. The computing device may be configured to control a flow rate of cooling fluid supplied to a steam turbine system by the cooling system by performing actions including modeling a sensitivity of a wheel space temperature to a change in the flow rate in the form of a piecewise linear relationship, the piecewise linear relationship including a flooded flow rate above which the wheel space temperature becomes insensitive to increased flow rate. The computing device also periodically modifies the flow rate of the cooling fluid supplied to the wheel space of the turbine section to approximate a minimum flooded flow rate based on the measured flow rate and the modeling.
Abstract:
A controller system includes at least one computing device operably connected to a process having a target value for a variable parameter. The computing device(s) is configured to control the variable parameter by performing actions including: computing an error between the target value and an actual value of the variable parameter. Based on the error, the computing device(s) may calculate a desired gain adjustment of the variable parameter, and a desired mean adjustment of the variable parameter. A correction signal may be created for modifying the process by: in response to the error being positive, creating the correction signal by adding the desired mean adjustment and the desired gain adjustment, and in response to the error being negative, creating the correction signal by differencing the desired mean adjustment and the desired gain adjustment. A related program product may carry out similar functions.
Abstract:
Systems and methods to sample current measurements in energy storage assets while reducing bias errors such as aliasing are provided. One example current sampling system includes an integrator circuit that receives the current signal as an input and integrates the current signal to output a charge signal. The current signal is indicative of a current at an energy storage asset of an energy storage system. The current sampling system includes a charge signal sampler circuit that samples the charge signal at a charge signal sampling rate. The current sampling system includes a differentiator circuit that receives the samples of the charge signal from the charge signal sampler circuit and differentiates the samples of the charge signal to output an anti-aliased current signal.
Abstract:
Systems and methods to sample current measurements in energy storage assets while reducing bias errors such as aliasing are provided. One example current sampling system includes an integrator circuit that receives the current signal as an input and integrates the current signal to output a charge signal. The current signal is indicative of a current at an energy storage asset of an energy storage system. The current sampling system includes a charge signal sampler circuit that samples the charge signal at a charge signal sampling rate. The current sampling system includes a differentiator circuit that receives the samples of the charge signal from the charge signal sampler circuit and differentiates the samples of the charge signal to output an anti-aliased current signal.
Abstract:
Various approaches include: obtaining temperature data indicating temperatures of distinct zones in an upper half of a steam turbine shell and a lower half of a steam turbine shell; determining whether a difference between a temperature of a zone in the upper half of the steam turbine shell and a temperature of a neighboring zone in the lower half of the steam turbine shell exceeds a threshold; and initiating a change in a state of a thermal element in at least one of an adjacent zone to at least one of the zone in the upper half of the steam turbine shell or the neighboring zone in the lower half of the steam turbine shell in response to determining the difference exceeds the threshold.
Abstract:
A controller system includes at least one computing device operably connected to a process having a target value for a variable parameter. The computing device(s) is configured to control the variable parameter by performing actions including: computing an error between the target value and an actual value of the variable parameter. Based on the error, the computing device(s) may calculate a desired gain adjustment of the variable parameter, and a desired mean adjustment of the variable parameter. A correction signal may be created for modifying the process by: in response to the error being positive, creating the correction signal by adding the desired mean adjustment and the desired gain adjustment, and in response to the error being negative, creating the correction signal by differencing the desired mean adjustment and the desired gain adjustment. A related program product may carry out similar functions.
Abstract:
The present disclosure is directed to a system and method for controlling an energy storage device by more accurately detecting an end-of-discharge voltage of the energy storage device. More specifically, in one embodiment, the method includes determining an end-of-discharge voltage threshold for the energy storage device. Another step includes filtering the end-of-discharge voltage threshold via a filter. The method also includes adjusting a time constant of the filter based on at least one voltage-current condition. Still a further step includes comparing the filtered end-of-discharge voltage threshold and a terminal voltage of the energy storage device. Based on the comparison, the method includes determining a change of state of the energy storage device. Thus, the energy storage device can be controlled based on the change of state.