Abstract: A system for generating power includes an environmental engine operating on one or more computing devices that determines a wind flowing over a blade of a wind turbine, wherein the wind flowing over the blade of the wind turbine varies based on environmental conditions and operating parameters of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between at least two of a rotor speed, a blade pitch, the wind flowing over the blade, a wind speed and a turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric, and simulates execution of the selected model to determine recommended operating parameters.

Abstract: A system for preventing unauthorized access to a network can include a secure container having an access portal for controlling access to contents of the secure container and a security checkpoint configured to determine a state of the access portal and to receive an authorization code for opening the access portal. The security checkpoint can also include a logical lock module that switches to a breach mode of operation in response to a signal from the security checkpoint indicating that the access portal has been opened without receipt of the authorization code within a predetermined amount of time. The system can also include a network switch disposed within the secure container. The network switch is configured to communicate on a network and disable outgoing network communications to the network in response to a breach signal indicating that the logical lock module has switched to the breach mode.

Abstract: Systems and methods to monitor a wind turbine azimuth drivetrain. Azimuth variation characteristics data are accumulated from wind turbines over a period of time. Clusters of values within the azimuth variation characteristics data are identified and a respective condition of the main drivetrain is associated with different clusters of values. After the associating, a measured set of azimuth variation characteristics data is received. A cluster corresponds to values in the measured set of azimuth variation characteristics data is determined and a condition associated with that cluster is determined to be a condition associated with the subject main drivetrain. That condition is then reported.

Abstract: A system for generating power includes an environmental engine operating on one or more computing devices that determines a wind flowing over a blade of a wind turbine, wherein the wind flowing over the blade of the wind turbine varies based on environmental conditions and operating parameters of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between at least two of a rotor speed, a blade pitch, the wind flowing over the blade, a wind speed and a turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric, and simulates execution of the selected model to determine recommended operating parameters.

Abstract: Systems and methods to monitor a wind turbine azimuth drivetrain. Azimuth variation characteristics data are accumulated from wind turbines over a period of time. Clusters of values within the azimuth variation characteristics data are identified and a respective condition of the main drivetrain is associated with different clusters of values. After the associating, a measured set of azimuth variation characteristics data is received. A cluster corresponds to values in the measured set of azimuth variation characteristics data is determined and a condition associated with that cluster is determined to be a condition associated with the subject main drivetrain. That condition is then reported.

Abstract: A system for preventing unauthorized access to a network can include a secure container having an access portal for controlling access to contents of the secure container and a security checkpoint configured to determine a state of the access portal and to receive an authorization code for opening the access portal. The security checkpoint can also include a logical lock module that switches to a breach mode of operation in response to a signal from the security checkpoint indicating that the access portal has been opened without receipt of the authorization code within a predetermined amount of time. The system can also include a network switch disposed within the secure container. The network switch is configured to communicate on a network and disable outgoing network communications to the network in response to a breach signal indicating that the logical lock module has switched to the breach mode.

Abstract: A system for generating power includes an environmental engine operating on one or more computing devices that determines a Reynolds number for a wind turbine, wherein the Reynolds number characterizes wind flowing over a blade of the wind turbine that varies based on the wind speed, a rotor speed and characteristics of the blade of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between the rotor speed and a blade pitch for the wind turbine, the Reynolds number, wind speed and turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric; and simulates execution of the selected model to determine recommended operating parameters.

Abstract: One example includes a utility power system. The system includes a power generator system, the power generator system comprising a generator step-up (GSU) transformer and a power generator. The power generator can be configured to provide generator power to a power transmission system via the GSU transformer in a feedback manner based on a predetermined setpoint. The system further includes a voltage droop compensation controller configured to monitor the generator power at a high-side of the GSU transformer and to adjust the predetermined setpoint based on the monitored generator power to substantially mitigate circulating currents.

Abstract: A defect detector can receive measured data characterizing an operational performance of a population of sets of parallel operating power sources of a power supplier for a power distribution system. The defect detector can employ statistical analysis to detect a potential defect in a subset of the parallel operating power sources of the power supplier based on the measured data. Each of the parallel operating power sources can be configured to provide a given output in response to a given input.

Abstract: A method of creating an interconnected combination of a stored energy electric generation system to a variable electric power generation system, said combination, and a method of operating same. A stored energy electric generation system is added to a variable output electric power generation system. An input/output of the stored energy electric power generation system is connected to a power output of the variable electric power generation system and an indicator of power flow level through the power input/output of the stored energy electric power generation system is provided to a controller of the variable electric power generation system. The controller is configured to adjust the output power of the variable electric power generation system based on the indicator of the present stored energy system electric power flow level and a present site output electric power level.

Abstract: A system for generating power includes an environmental engine operating on one or more computing devices that determines a Reynolds number for a wind turbine, wherein the Reynolds number characterizes wind flowing over a blade of the wind turbine that varies based on the wind speed, a rotor speed and characteristics of the blade of the wind turbine. The system also includes an artificial intelligence (AI) ensemble engine operating on the one or more computing devices that generates a plurality of different models for the wind turbine. Each model characterizes a relationship between the rotor speed and a blade pitch for the wind turbine, the Reynolds number, wind speed and turbulence intensity for the wind turbine. The AI ensemble engine selects a model with a highest efficiency metric; and simulates execution of the selected model to determine recommended operating parameters.

Abstract: Systems and methods to incorporate control of reactive power produced by a variable reactive power output inverter that is installed in an existing installed power generation site. A reactive power output command value limiter is integrated with the variable reactive power output inverter. The reactive power command limiter iteratively: receives a reactive power command value, determines a threshold reactive power output value based on present real power output, determines that the reactive power command value exceeds the threshold reactive power output value, changes, based on the determining that the reactive power command value exceeds the threshold reactive power output value, the reactive power output command input value to a limited value reactive power output command that is one of equal to or less than the threshold reactive power output value, and outputs the limited value reactive power output command to the variable reactive power output inverter.

Abstract: One example includes a utility power system. The system includes a power generator system, the power generator system comprising a generator step-up (GSU) transformer and a power generator. The power generator can be configured to provide generator power to a power transmission system via the GSU transformer in a feedback manner based on a predetermined setpoint. The system further includes a voltage droop compensation controller configured to monitor the generator power at a high-side of the GSU transformer and to adjust the predetermined setpoint based on the monitored generator power to substantially mitigate circulating currents.

Abstract: A system for generating power includes a supervisory control and data acquisition (SCADA) system that provides control commands to a plurality of turbine controllers to cause a windfarm to output power at a level within power parameters in a setpoint. Each turbine controller is installed at a corresponding wind turbine of a plurality of wind turbines in the windfarm. The system also includes a backup system comprising a programmable logic controller (PLC). The PLC receives turbine state information from the SCADA system that characterizes an operational state of each of the plurality of wind turbines in the windfarm and detects that the SCADA system is offline. The PLC also selectively provides start and stop commands to a plurality of terminal interface units (TIUs) to cause the windfarm to output power at a level within the power parameters identified in the setpoint in response to the detecting.

Abstract: A system for generating power includes a supervisory control and data acquisition (SCADA) system that provides control commands to a plurality of turbine controllers to cause a windfarm to output power at a level within power parameters in a setpoint. Each turbine controller is installed at a corresponding wind turbine of a plurality of wind turbines in the windfarm. The system also includes a backup system comprising a programmable logic controller (PLC). The PLC receives turbine state information from the SCADA system that characterizes an operational state of each of the plurality of wind turbines in the windfarm and detects that the SCADA system is offline. The PLC also selectively provides start and stop commands to a plurality of terminal interface units (TIUs) to cause the windfarm to output power at a level within the power parameters identified in the setpoint in response to the detecting.

Abstract: Systems and methods to incorporate control of reactive power produced by a variable reactive power output inverter that is installed in an existing installed power generation site. A reactive power output command value limiter is integrated with the variable reactive power output inverter. The reactive power command limiter iteratively: receives a reactive power command value, determines a threshold reactive power output value based on present real power output, determines that the reactive power command value exceeds the threshold reactive power output value, changes, based on the determining that the reactive power command value exceeds the threshold reactive power output value, the reactive power output command input value to a limited value reactive power output command that is one of equal to or less than the threshold reactive power output value, and outputs the limited value reactive power output command to the variable reactive power output inverter.

Abstract: A method of creating an interconnected combination of a stored energy electric generation system to a variable electric power generation system, said combination, and a method of operating same. A stored energy electric generation system is added to a variable output electric power generation system. An input/output of the stored energy electric power generation system is connected to a power output of the variable electric power generation system and an indicator of power flow level through the power input/output of the stored energy electric power generation system is provided to a controller of the variable electric power generation system. The controller is configured to adjust the output power of the variable electric power generation system based on the indicator of the present stored energy system electric power flow level and a present site output electric power level.

Abstract: A defect detector can receive measured data characterizing an operational performance of a population of sets of parallel operating power sources of a power supplier for a power distribution system. The defect detector can employ statistical analysis to detect a potential defect in a subset of the parallel operating power sources of the power supplier based on the measured data. Each of the parallel operating power sources can be configured to provide a given output in response to a given input.