Abstract: Systems and methods for health monitoring and upgrade of a distributed controller are provided. According to one embodiment of the disclosure, a method for health monitoring and upgrade of a distributed controller may commence with receiving, by a lower level controller from a high-level controller, high-level control references. The method may further include generating low-level control references for a hardware asset based at least in part on the high-level control references. The method may include monitoring the network connection and detecting an error in the network connection. In response to the detection of the error in the network connection, a control of the hardware asset may be transferred to the low-level controller. The method may further include determining that the network connection has been restored. In response to the determination that the network connection has been restored, the control of the hardware asset may be transferred to the high-level controller.

Abstract: Exemplary embodiments described in this disclosure pertain to a system that includes a high-level controller coupled to a low-level controller in an arrangement that allows the high-level controller to cooperate with the low-level controller for controlling a power generation unit. The high-level controller generates supplementary signals and/or supplementary code that is provided to a surrogate controller. The surrogate controller uses the supplementary signals and/or supplementary code to generate control software that is provided to the low-level controller for controlling certain operational aspects of the power generation unit that cannot be independently controlled by the low-level controller.

Abstract: Systems and methods for health monitoring and upgrade of a distributed controller are provided. According to one embodiment of the disclosure, a method for health monitoring and upgrade of a distributed controller may commence with receiving, by a lower level controller from a high-level controller, high-level control references. The method may further include generating low-level control references for a hardware asset based at least in part on the high-level control references. The method may include monitoring the network connection and detecting an error in the network connection. In response to the detection of the error in the network connection, a control of the hardware asset may be transferred to the low-level controller. The method may further include determining that the network connection has been restored. In response to the determination that the network connection has been restored, the control of the hardware asset may be transferred to the high-level controller.

Abstract: Exemplary embodiments described in this disclosure pertain to a system that includes a high-level controller coupled to a low-level controller in an arrangement that allows the high-level controller to cooperate with the low-level controller for controlling a power generation unit. The high-level controller generates supplementary signals and/or supplementary code that is provided to a surrogate controller. The surrogate controller uses the supplementary signals and/or supplementary code to generate control software that is provided to the low-level controller for controlling certain operational aspects of the power generation unit that cannot be independently controlled by the low-level controller.

Abstract: The disclosed embodiments relate to a system and method that allows air to be extracted from a plurality of gas turbine engines and fed to a downstream process, even in situations in which one or more of the gas turbine engines are operating in a part load condition. For example, in an embodiment, a method includes monitoring signals representative of a header pressure of a header, or a pressure of extraction air flow from one or more gas turbine engines to the header, or both, and maintaining substantially continuous flows of extraction air from the gas turbine engines to the header. The substantially continuous flows are maintained when the gas turbine engines are under symmetric and asymmetric load conditions.

Abstract: A device may receive operating information obtained by one or more sensors associated with plant equipment. The operating information may identify one or more operating parameters associated with operation of the plant equipment. The device may identify one or more portions of the operating information to be provided for parallel processing, and may prioritize the one or more portions for parallel processing based on a criticality of the plant equipment or a state of the plant equipment. The device may provide the one or more portions of the operating information for parallel processing based on the prioritization, and may determine one or more results associated with parallel processing of the one or more portions of the operation information. The device may provide the one or more results for display or to control operation of the plant equipment concurrently with operation of the plant equipment.

Abstract: The disclosed embodiments relate to a system and method that allows air to be extracted from a plurality of gas turbine engines and fed to a downstream process, even in situations in which one or more of the gas turbine engines are operating in a part load condition. For example, in an embodiment, a method includes monitoring signals representative of a header pressure of a header, or a pressure of extraction air flow from one or more gas turbine engines to the header, or both, and maintaining substantially continuous flows of extraction air from the gas turbine engines to the header. The substantially continuous flows are maintained when the gas turbine engines are under symmetric and asymmetric load conditions.