Abstract: An integrated fuel cell and combustor assembly includes a combustor that is fluidly coupled with at least one upstream compressor that generates compressed air. A fuel cell stack having a cathode and an anode is fluidly coupled to the combustor. The fuel cell stack is configured to receive intake fuel and a portion of the compressed air as intake air, to generate a fuel cell power output using the intake fuel and the intake air, and to direct a fuel and air exhaust from the fuel cell stack into the combustor. A self-reliant air supply system is fluidly coupled with the at least one upstream compressor and the fuel cell stack, and is configured to supply the intake air to the fuel cell stack. A fault-tolerant controller is configured to detect a transient event within the combustor and to control the self-reliant air supply system during the transient event.

Abstract: A method for monitoring at least one rotor blade of a wind turbine includes implementing, via a controller, a control scheme for monitoring blade damage of the at least one rotor blade. The control scheme includes monitoring at least one electrical condition of a pitch system of the wind turbine. The method also includes converting the electrical condition(s) of the pitch system into a frequency domain. Further, the method includes determining one or more peaks of the frequency domain around a frequency component related to a natural frequency of the rotor blade. Moreover, the method includes determining a frequency deviation between the one or more peaks of the frequency domain and the frequency component related to the natural frequency of the rotor blade. As such, a frequency deviation outside of a predetermined frequency range is indicative of a rotor blade anomaly. Thus, the method includes implementing a control action when the frequency deviation is outside of the predetermined frequency range.

Abstract: A system for enhanced sequential power system model calibration is provided. The system is programmed to store a model of a device. The model includes a plurality of parameters. The system is also programmed to receive a plurality of events associated with the device, receive a first set of calibration values for the plurality of parameters, generate a plurality of sets of calibration values for the plurality of parameters, for each of the plurality of sets of calibration values, analyze a first event of the plurality of events using a corresponding set of calibration values to generate a plurality of updated sets of calibration values, analyze the plurality of updated sets of calibration values to determine a current updated set of calibration values, and update the model to include the current updated set of calibration values.

Abstract: Embodiments of this application provide a method and an apparatus for reducing co-channel interference, and a base station. The method includes: receiving, by a relay eNodeB ReNB, a propagation delay sent by a donor eNodeB DeNB, where the propagation delay is a delay of propagation between the DeNB and the ReNB; and adjusting, based on the propagation delay, timing parameters for sending uplink data and receiving downlink data by the ReNB, where the timing parameters are delays of the ReNB relative to the DeNB. The DeNB is used as a reference for the propagation delay between the DeNB and the ReNB, to delay timing of receiving the downlink data by the ReNB; and advance timing of sending the uplink data by the ReNB.

Abstract: Some embodiments provide a system to protect an electric vehicle charging infrastructure. An electric vehicle charging site may receive AC power from a power grid and provide DC power to electric vehicles. The charging site may include a plurality of monitoring nodes each generating a series of current monitoring node values over time that represent a current operation of the electric vehicle charging infrastructure. A supply equipment communication controller may receive an access request from an access requestor associated with an electric vehicle, the access request being associated with a platform certificate. A secondary actor policy decision point at the charging site may evaluate the access requestor's identity and respond with an action message allowing high-level communication with the access requestor to proceed. Note that information associated with the current monitoring node values and/or the access request may be stored in a secure, distributed transaction ledger (e.g.

Abstract: A distributed fault management system includes at least one sensor associated with a fuel cell system and at least one first fault management computing device coupled to the at least one sensor. The at least one first fault management computing device is configured to receive data associated with a first fault condition. The at least one first fault management computing device is further configured to generate a resolution to the first fault condition and transmit at least one resolution command signal to at least one second fault management computing device. The at least one resolution command signal configures the at least one second fault management computing device to use the resolution to resolve a second fault condition in a similar manner.

Abstract: An engine assembly includes a combustor, a fuel cell stack fluidly connected to the combustor, the fuel cell stack being configured (i) to generate power using fuel and air directed into the fuel cell stack and (ii) to direct fuel and air exhaust from the fuel cell stack into the combustor, a compressor fluidly connected upstream of (i) the combustor and (ii) the fuel cell stack, the compressor being configured to generate compressed air to direct into the fuel cell stack, a turbine disposed downstream from the combustor, the turbine having a turbine inlet temperature, and a controller that is configured to control a power allocation between the fuel cell stack and the turbine based upon the turbine inlet temperature of the turbine. The combustor is configured to combust the fuel and air exhaust from the fuel cell stack into one or more gaseous combustion products that power the turbine.

Abstract: An engine assembly includes a combustor, a fuel cell stack integrated with the combustor, and a pre-burner system fluidly connected to the fuel cell stack. The fuel cell stack is configured to direct fuel and air exhaust from the fuel cell stack into the combustor. The pre-burner system is configured to control a temperature of an air flow directed into the fuel cell stack. The combustor is configured to combust the fuel and air exhaust from the fuel cell stack into one or more gaseous combustion products that drive a downstream turbine. The engine assembly can further include a catalytic partial oxidation convertor that is fluidly connected to the fuel cell stack. The catalytic partial oxidation convertor is configured to develop a hydrogen rich fuel stream to be directed into the fuel cell stack.

Abstract: A fuel cell unit that includes a support structure having a plurality of flow channels and an active layer membrane coupled with the support structure, the active layer membrane comprising at least one electrode layer. Each flow channel of the plurality of flow channels is configured to direct one of air and fuel across at least one electrode layer of an active layer membrane to create electric current. Each flow channel of the plurality of flow channels includes at least one enhancement feature that is configured to disrupt a formation of a boundary layer near a surface of the active layer membrane where reactions occur. The plurality of flow channels can be positioned in a zig-zag configuration to allow for an increase in power density of the fuel cell unit.

Abstract: Briefly, embodiments are directed to a system, method, and article for identifying power system event signatures. Input measurement data may be received from one or more data sources relating to a power grid system. The input measurement data may comprise normal system operation measurement data and power system event measurement data. A processor may perform operations during an online application phase. During the online application phase, a feature matrix may be generated for the power system event measurement data and the at least one trained auto-associative model. The feature matrix for the power system event measurement data may be processed to determine power system event residuals. Also during the online application phase, the power system event signatures may be identified based on residual statistics for normal system operation measurement data residuals and on the power system event residuals.

Abstract: Provided is a system and method for updating dynamic power system models during each DSA analysis cycle. In one example, the method may include iteratively executing a dynamic security analysis (DSA) on a power grid based on a simulation of a dynamic power system model, receiving measurements from one or more sensors on the power grid, modifying one or more parameters of the dynamic power system model used in a previous iteration of the DSA based on the received measurements, simulating the modified dynamic power system model, determining a security value of the power grid during a current iteration of the DSA based on the simulated modified dynamic power system model, and storing the determined security value in memory.

Abstract: The present disclosure relates to the technical field of rollers, and provides a roller assembly, including: a fixing cover, a roller, a round magnet and a rotating shaft. The roller assembly further includes a bearing. The bearing is coaxially connected to an end of the rotating shaft; the roller is coaxially sleeved on an outer surface of the bearing; and the round magnet is coaxially connected to another end of the rotating shaft. By this way, the bearing structure is more precise, thereby enabling a better customer experience, a longer product life, and a simple structure for easy installation.

Abstract: A computing device for distributed power system model calibration is provided. The computing device is programmed to receive event data and model response data associated with a model to simulate, wherein the model includes a plurality of parameters, divide the event data into a plurality of sets, wherein each set includes associated parameters, and transmit the plurality of sets of event data to a plurality of client nodes. Each client node of the plurality of client nodes is programmed to analyze a corresponding set of event data to determine updated parameters for the model. The computing device is further programmed to receive a plurality of updated parameters for the model from the plurality of client nodes and analyze the received plurality of updated parameters to determine at least one adjusted parameter.

Abstract: An energy storage system includes a plurality of battery strings, each battery string including a plurality of batteries coupled electrically together; a plurality of temperature sensors; an enclosure housing the plurality of battery strings and the temperature sensors; a plurality of fans positioned in different locations within the enclosure; and a temperature control system. The temperature control system includes a heating, ventilation, and air conditioning (HVAC) components, and a controller. The controller is programmed to execute the method that includes determining fan speed operating commands based at least in part on sensed temperatures at the different locations, and operating the fan speed in response to the operating commands provided to the respective fans.

Abstract: The example embodiments are directed to a system and method for dynamically controlling classes of assets in a hybrid generation power plant. In one example, the system may include a plurality of classes of power assets with at least one class comprising a non-renewable power source and at least one class comprising a renewable power source, and a power controller configured to manage a class of power assets from among the plurality of classes, the power controller including a pre-processing module configured to dynamically shape an error being fed into a respective power source of the class of power assets, and an asset control module configured to dynamically adjust a power setpoint of the respective power source of the class of power assets.

Abstract: The present disclosure relates to the technical field of rotary screen, and provides a rotary screen device and a method for controlling the rotary screen device. The rotary screen device includes a transparent window, a display panel, a panel support frame, a rotating housing, a main board, and a base, the main board is provided with a Hall sensor, a magnet, and a roller. The rotary screen device of the present disclosure is compact, easy to operate, and responsive.

Abstract: A fuel cell system is disclosed, which includes an anode recirculation loop having a fuel cell stack for generating power, a flowmeter, a current sensor and a processor. The flowmeter is configured for measuring a fuel flow rate provided into the anode recirculation loop. The current sensor is configured for measuring a current drawn from the fuel cell stack. The processor is configured for determining a steam to carbon ratio in the anode recirculation loop based on the measured fuel flow rate and the measured current. The fuel cell system further includes a temperature sensor for measuring a temperature in the anode recirculation loop. The process is configured for determining the steam to carbon ration further based on the measured temperature. A method for operating the fuel cell system and a fuel cell power plant are also disclosed.

Abstract: A dynamic simulation engine, having system parameters, may be provided for a component of an electrical power system (e.g., a generator, wind turbine, etc.). A model parameter tuning engine may receive, from a measurement data store, measurement data measured by an electrical power system measurement unit (e.g., a phasor measurement unit or digital fault recorder measuring a disturbance event). The model parameter tuning engine may then pre-condition the measurement data and set-up an optimization problem based on a result of the pre-conditioning. The system parameters of the dynamic simulation engine may be determined by solving the optimization problem with an iterative method until at least one convergence criteria is met. According to some embodiments, solving the optimization problem includes a Jacobian approximation that does not call the dynamic simulation engine if an improvement of residual meets a pre-defined criteria.

Abstract: A system for monitoring an industrial system for cyberattacks includes an industrial control system including a plurality of actuators, a plurality of sensors each arranged to measure one of a plurality of operating parameters, and an edge device and a computer including a data storage device having stored thereon a program that includes each of a time-series database including expected operating ranges for each operating parameter, a clustering-based database that includes clusters of operating parameters having similarities, and a correlation database that includes pairs of operating parameters that show a correlation.

Abstract: A method for combustion tuning, comprises collecting exhaust parameters indicating combustion status of a boiler by a sensor array; determining whether the exhaust parameters of the boiler match a preset optimization target; and optimizing combustion, if the exhaust parameters do not match the preset optimization target by selecting a model from a model repository based on a current boiler condition, wherein the model corresponds to a relationship between model input variables and the exhaust parameters; determining at least one optimized model input variable of the boiler for realizing the optimization target, based on the selected model; and adjusting actuators of the boiler according to the optimized model input variable.