Abstract: A system for managing multiple power assets is provided. The system includes at least one volatile asset, at least one deterministic asset, and a controller communicatively coupled to the at least one volatile asset and the at least one deterministic asset, the controller configured to receive data from said at least one volatile asset, predict a change in power output for said at least one volatile asset based on the received data, and control operation of said at least one deterministic asset to compensate for the predicted change in power output.

Abstract: A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.

Abstract: A system includes a power generation system and controllers that control operations of the power generation system. The controllers include processors that receive multiple values associated with operating parameters of the power generation system, and determine a degradation cost function that quantifies a degradation cost based on the values. The processors further receive an operation cost that includes a fixed financial cost of performing an operation on the power generation system, and determine an operation cost function that quantifies the operation cost. The processors further determine a total cost function of the power generation system based on the degradation cost function and the operation cost function, and determine times to perform the operation on the power generation system based on the total cost function. The processors further send an alert to perform the operation of the power generation system at the times.

Abstract: A system includes a model-based control system configured to receive data relating to parameters of a machinery via a plurality of sensors coupled to the machinery and select one or more models configured to generate a desired parameter of the machinery based on a determined relationship between the parameters and the desired parameter. The one or more models represent a performance of a device of the machinery. The model-based control system is configured to generate the desired parameter using the data and the one or more models control a plurality of actuators coupled to the machinery based on the desired parameter. Further, the model-based control system is configured to empirically tune the one or more models based on the data, the one or more parameters, and the desired parameter, compare the empirical tuning to a baseline tuning, and determine an operational state of the device based on the comparison.

Abstract: A system for managing multiple power assets is provided. The system includes at least one volatile asset, at least one deterministic asset, and a controller communicatively coupled to the at least one volatile asset and the at least one deterministic asset, the controller configured to receive data from said at least one volatile asset, predict a change in power output for said at least one volatile asset based on the received data, and control operation of said at least one deterministic asset to compensate for the predicted change in power output.