Abstract: A method of performing deconfliction comprises receiving a request to accept a first operational intent associated with a first unmanned aircraft system, determining whether a conflict exists between the first operational intent and one or more scheduled operational intents, and if a conflict exists between the first operational intent and a second operational intent associated with a second unmanned aircraft system, transmitting data associated with the conflict to a first operator of the first unmanned aircraft system and a second operator of the second unmanned aircraft system, and transmitting information to the first and second operator allowing them to negotiate a resolution of the conflict. If a conflict does not exist, the first operational intent may be accepted. Bids may also be received for a right to utilize a volume of airspace at a particular time and the right may be granted to a highest bidder.

Abstract: A system includes one or more processors that are configured to obtain a constraint on movement for a first vehicle system along a route. The constraint is based on movement of a separate second vehicle system that is concurrently traveling along the same route. The processor(s) are configured to determine a speed profile that designates speeds for the first vehicle system according to at least one of distance, location, or time based on the constraint such that the first vehicle system maintains a designated spacing from the second vehicle system along the route.

Abstract: Systems and methods for flight mission planning are provided. One embodiment of a method includes defining a mission to be performed by a plurality of assets, where defining the mission includes defining an area for the mission and a target for the mission, determining, available assets for completing the mission, and determining a capability for the available assets. Some embodiments include defining operations to complete the mission, based on the capability of the available assets and assigning each of the operations to respective assets of the available assets to complete the mission, where assigning each of the operations incudes communicating customized instructions to each of the respective assets being utilized.

Abstract: The technology relates to planning trajectories for self-driving vehicles in order to transport passengers or cargo from a pickup location to a destination. Trajectory planning includes generating a speed plan for an upcoming portion of the trip in view of one or more constraints. The constraints may be due to proximity to an adjacent vehicle or other road user, and can include projected overlaps between the vehicle and other objects in the vehicle's nearby environment. Certain constraints may be binary or otherwise discontinuous in nature, in which a condition either exists at a given point in time or it does not. Noise in sensor data or prediction models may trigger such binary conditions, which in turn may cause the vehicle to alter the speed plan. Aspects of the technology employ permeable speed constraints that enable the vehicle to avoid problems associated with discontinuous constraints.

Abstract: A method of performing deconfliction comprises receiving a request to accept a first operational intent associated with a first unmanned aircraft system, determining whether a conflict exists between the first operational intent and one or more scheduled operational intents, and if a conflict exists between the first operational intent and a second operational intent associated with a second unmanned aircraft system, transmitting data associated with the conflict to a first operator of the first unmanned aircraft system and a second operator of the second unmanned aircraft system, and transmitting information to the first and second operator allowing them to negotiate a resolution of the conflict. If a conflict does not exist, the first operational intent may be accepted. Bids may also be received for a right to utilize a volume of airspace at a particular time and the right may be granted to a highest bidder.

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 generator control computer device for operating at least one generator attached to a grid is provided. The generator control computer device includes at least one processor in communication with at least one memory device. The generator control computer device is configured to receive, from at least one sensor, a plurality of sensor readings representing one or more conditions of the at least one generator, calculate a current grid impedance of the grid based on the plurality of sensor readings, determine a steady state stability limit for the at least one generator based on the current grid impedance, and adjust operation of the at least one generator based on the determined steady state stability limit.

Abstract: A system for interactive power system model calibration is provided. The system includes a computing device including at least one processor in communication with at least one memory device. The at least one processor is programmed to receive event data and model response data associated with a model to simulate, identify a plurality of tunable parameters based on the event data and the model response data, present, via a user interface, the plurality of tunable parameters to the user, receive, from the user via the user interface, one or more selections of the plurality of tunable parameters, and calibrate the model based on the one or more selections.

Abstract: A power system model parameter conditioning tool including a server control processor in communication with phasor measurement unit monitored data records of multiple disturbance events, a model calibration unit providing event screening, power system model simulation, and simultaneous tuning of model parameters. The model calibration performing a simulation using default model parameters, the processor comparing the simulation results to the monitored data. If the prediction is within threshold, then terminating conditioning; else performing parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy, selecting a parameter set causing a degradation in power system model prediction, and updating the default model parameters corresponding to members of the parameter set with values selected to reduce the degradation. A method and a non-transitory computer readable medium are also disclosed.

Abstract: A system for sequential power system model calibration is provided. The system includes a computing device in communication with at least one sensor monitoring a power system. The computing device includes at least one processor in communication with at least one memory. The at least one processor is programmed to store a model of a device. The model includes a plurality of parameters. The at least one processor is also programmed to receive a plurality of events associated with the device, filter the plurality of events to generate a plurality of unique events, sequentially analyze the plurality of unique events to determine a set of calibrated parameters for the model, and update the model to include the set of calibrated parameters.

Abstract: A system includes one or more processors that are configured to obtain a constraint on movement for a first vehicle system along a route. The constraint is based on movement of a separate second vehicle system that is concurrently traveling along the same route. The processor(s) are configured to determine a speed profile that designates speeds for the first vehicle system according to at least one of distance, location, or time based on the constraint such that the first vehicle system maintains a designated spacing from the second vehicle system along the route.

Abstract: A system includes one or more processors that are configured to obtain a constraint on movement for a first vehicle system along a route. The constraint is based on movement of a separate second vehicle system that is concurrently traveling along the same route. The processor(s) are configured to determine a speed profile that designates speeds for the first vehicle system according to at least one of distance, location, or time based on the constraint such that the first vehicle system maintains a designated spacing from the second vehicle system along the route.

Abstract: A generator control computer device for operating at least one generator attached to a grid is provided. The generator control computer device includes at least one processor in communication with at least one memory device. The generator control computer device is configured to receive, from at least one sensor, a plurality of sensor readings representing one or more conditions of the at least one generator, calculate a current grid impedance of the grid based on the plurality of sensor readings, determine a steady state stability limit for the at least one generator based on the current grid impedance, and adjust operation of the at least one generator based on the determined steady state stability limit.

Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.

Abstract: A power system model parameter conditioning tool including a server control processor in communication with phasor measurement unit monitored data records of multiple disturbance events, a model calibration unit providing event screening, power system model simulation, and simultaneous tuning of model parameters. The model calibration performing a simulation using default model parameters, the processor comparing the simulation results to the monitored data. If the prediction is within threshold, then terminating conditioning; else performing parameter identifiability analysis to determine differing effects of various model parameters on power system model accuracy, selecting a parameter set causing a degradation in power system model prediction, and updating the default model parameters corresponding to members of the parameter set with values selected to reduce the degradation. A method and a non-transitory computer readable medium are also disclosed.

Abstract: A system includes an energy management system disposed onboard a vehicle system configured to travel on a route during a trip. The energy management system is configured to receive trip information that includes one or more constraints including at least one of speed, distance, or time restrictions for the vehicle system along the route. The energy management system is further configured to generate a trip plan for controlling movement of the vehicle system along the route during the trip. The trip plan is generated based on the one or more constraints. The trip plan has a plan speed profile that designates speeds for the vehicle system according to at least one of distance or time during the trip. The energy management system is further configured to control movement of the vehicle system during the trip according to the plan speed profile of the trip plan.

Abstract: A system includes an energy management system disposed onboard a vehicle system configured to travel on a route during a trip. The energy management system is configured to receive trip information from a second vehicle system that includes one or more constraints including at least one of speed, distance, or time restrictions for the vehicle system along the route. The energy management system is further configured to generate a trip plan for controlling movement of the vehicle system along the route during the trip. The trip plan is generated based on the one or more constraints. The trip plan has a plan speed profile that designates speeds for the vehicle system according to at least one of distance or time during the trip. The energy management system is further configured to control movement of the vehicle system during the trip according to the plan speed profile of the trip plan.

Abstract: System having one or more processors that are configured to (a) generate, as a vehicle system moves along a route, a plurality of different trial plans for an upcoming segment of the route. The trial plans include potential operational settings of the vehicle system along the route. The one or more processors that are configured to (b) select one of the trial plans as a selected plan or generate the selected plan based on one or more of the trial plans. The selected plan is configured to improve one or more system-handling metrics as the vehicle system moves along the upcoming segment of the route. The one or more processors are configured to (c) communicate instructions to change or not change at least one of the operational settings of the vehicle system based on the selected plan.

Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. During real-time operation of the assets, the optimization system can update the operating schedule based on actual market, ambient, and operating data. The system provides information that can assist operators in determining suitable conditions in which to cold part-load or peak-fire the assets in an optimally profitable manner without violating target life constraints.

Abstract: A dispatch optimization system leverages ambient and market forecast data as well as asset performance and parts-life models to generate recommended operating schedules for gas turbines or other power-generating plant assets that substantially maximize profit while satisfying parts-life constraints. The system generates operating profiles that balance optimal peak fire opportunities with optimal cold part-load opportunities within a maintenance interval or other operating horizon. To reduce the computational burden associated with generating the profit-maximizing operating profile, the system uses an estimated price of life value that accounts for creation (by cold part-loading) and exhaustion (by peak fire operation) of factored fired hour credits by means of computing the cost of such credits.