Abstract: A system for enhanced power system model validation 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 store a plurality of models for a plurality of devices and a plurality of input files associated with the plurality of models, receive, from a user, a selection of model of the plurality of models to simulate, retrieve one or more input files of the plurality of input files, perform a model validity check on the selected model, if the selected model passed the model validity check, perform a model calibration on the selected model, and if the selected model passed the model calibration, perform a post evaluation on the selected model.

Abstract: Provided is a system and method for detecting source(s) of oscillation on a power grid. In one example, the method may include receiving measurements from one or more sensors on a power grid, the measurements including data of an oscillation within the power grid, determining, via execution of one or more machine learning model, a candidate set of power system components disposed on the power grid that are candidates for being the source(s) of the oscillation, identifying, via execution of an optimization model, a component from among the candidate set of power system components which is the source (e.g., location, controller type, and/or asset type) of the oscillation, and displaying, via a user interface, information about the identified component.

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: This disclosure relates to systems and methods for real-time electrical power grid restorations. An example system may include a real-time monitoring module configured to acquire operational data associated with electrical grid components of an electrical grid. The system may further include a restoration manager module configured to detect, based on the operational data, one or more unplanned outages or other events in the electrical grid. In response to the detection, the restoration manager module can analyze the operational data to determine or select from a database a restoration plan. The restoration plan can include operations associated with commands for control devices, wherein the control devices are operable to control a power transmission between the electrical grid components. The restoration manager module can be further configured to execute the one or more operations of the restoration plan to restore the electrical power grid to a normal operational state.

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 system for enhanced power system model validation 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 store a plurality of models for a plurality of devices and a plurality of input files associated with the plurality of models, receive, from a user, a selection of model of the plurality of models to simulate, retrieve one or more input files of the plurality of input files, perform a model validity check on the selected model, if the selected model passed the model validity check, perform a model calibration on the selected model, and if the selected model passed the model calibration, perform a post evaluation on the selected model.

Abstract: A system for enhanced power system model validation 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 store a plurality of models for a plurality of devices and a plurality of input files associated with the plurality of models, receive, from a user, a selection of model of the plurality of models to simulate, retrieve one or more input files of the plurality of input files, perform a model validity check on the selected model, if the selected model passed the model validity check, perform a model calibration on the selected model, and if the selected model passed the model calibration, perform a post evaluation on the selected model.

Abstract: Briefly, embodiments are directed to a system, method, and article for generating a power system load model of a power system. Power grid disturbance data may be accessed. A power system simulation engine may be prepared, wherein the simulation engine may implement the power system model of the power system. A parameter subset A may be identified from a knowledge-based approach. The parameter subset B may be identified based on a special grid event type based on the power grid disturbance data. A final parameter subset may be selectively determined based on parameter subsets A and B using a decision-making approach. At least one parameter of the final parameter subset may be tuned. One or more parameters of the power system load model may be modified based on the tuning.

Abstract: In example embodiments, there is provided enhanced disturbance management for an electrical power system. An enhanced disturbance management component can be operable to read monitoring data based on power flow measurements associated with measurement devices connected to an electrical power system, wherein the monitoring data can comprise alarm data indicative of an electrical disturbance within the electrical power system, and topology data indicative of a topology of the electrical power system. The enhanced disturbance management component can be operable to correlating the alarm data with a change in the topology data.

Abstract: In example embodiments, there is provided a dynamic dispatcher simulator for an electrical power system. The dynamic dispatcher simulator can be operable to receive an input from a user identity during a run time, wherein the input represents a disturbance event indicative of a simulated disturbance to an electrical power system. Based on the input, a signal can be transmitted to a transient simulation engine component. The transient simulation engine component can output simulated phasor measurement unit data representative of the disturbance event to a wide area monitoring system that facilitates a display of alarms in response to the receipt of the simulated phasor measurement unit data. The dynamic dispatcher training simulator can also receive another input from the user during the run time, the second input being representative of a simulated condition related to the electrical power system.

Abstract: Energy flow in a power grid system (e.g., an electrical energy distribution system) is managed. In an example embodiment, a system provides for generating monitoring data for an electrical energy distribution system based on power-flow data for the electrical energy distribution system and topology data for the electrical energy distribution system. The power-flow data is indicative of voltage values that are repeatedly obtained from the electrical energy distribution system. The topology data is indicative of a topology for the electrical energy distribution system. The system also provides for identifying, based on the monitoring data, a change in a voltage angle associated with a transmission line in the electrical energy distribution system. Furthermore, the system provides for generating a notification for a graphical user interface in response to a determination that the change in the voltage angle for the transmission line satisfies a defined criterion.

Abstract: The technology is generally directed towards characterizing primary frequency response parameters (e.g., frequency response coefficient, inertia, damping, droop) for an interconnection, region, and power plant utilizing phasor measure unit (PMU) data captured during an event (e.g., a generation trip event) that causes an imbalance in the power grid system. Pre-processing of localized PMU based frequency measurements combined with system identification techniques fit the observed frequency response to estimate parameters such as system inertia, frequency response coefficient, turbine time constant, system damping and governor droop that characterize the interconnection-wide frequency response.

Abstract: This disclosure relates to systems and methods for real-time electrical power grid restorations. An example system may include a real-time monitoring module configured to acquire operational data associated with electrical grid components of an electrical grid. The system may further include a restoration manager module configured to detect, based on the operational data, one or more unplanned outages or other events in the electrical grid. In response to the detection, the restoration manager module can analyze the operational data to determine or select from a database a restoration plan. The restoration plan can include operations associated with commands for control devices, wherein the control devices are operable to control a power transmission between the electrical grid components. The restoration manager module can be further configured to execute the one or more operations of the restoration plan to restore the electrical power grid to a normal operational state.

Abstract: The technology is generally directed towards real-time power grid island detection and monitoring, including obtaining and outputting information about the cause and location of the islanding event, island size, island composition, phasor measurement units in each island, and the overall island frequency. The technology provides for suggested island resynchronization actions such as one or more circuit breakers that can be closed by the power grid system operators to resynchronize an island with the main island/system. An application program may output the information and also assist the operators during the resynchronization process by providing real time information about the voltage difference and frequency difference across each proposed circuit breaker in the suggested restoration point. Real-time tracking of the island resynchronization actions is also described.

Abstract: The technology is generally directed towards characterizing primary frequency response parameters (e.g., frequency response coefficient, inertia, damping, droop) for an interconnection, region, and power plant utilizing phasor measure unit (PMU) data captured during an event (e.g., a generation trip event) that causes an imbalance in the power grid system. Pre-processing of localized PMU based frequency measurements combined with system identification techniques fit the observed frequency response to estimate parameters such as system inertia, frequency response coefficient, turbine time constant, system damping and governor droop that characterize the interconnection-wide frequency response.

Abstract: The technology is generally directed towards characterizing primary frequency response parameters (e.g., frequency response coefficient, inertia, damping, droop) for an interconnection, region, and power plant utilizing phasor measure unit (PMU) data captured during an event (e.g., a generation trip event) that causes an imbalance in the power grid system. Pre-processing of localized PMU based frequency measurements combined with system identification techniques fit the observed frequency response to estimate parameters such as system inertia, frequency response coefficient, turbine time constant, system damping and governor droop that characterize the interconnection-wide frequency response.

Abstract: In example embodiments, there is provided enhanced disturbance management for an electrical power system. An enhanced disturbance management component can be operable to read monitoring data based on power flow measurements associated with measurement devices connected to an electrical power system, wherein the monitoring data can comprise alarm data indicative of an electrical disturbance within the electrical power system, and topology data indicative of a topology of the electrical power system. The enhanced disturbance management component can be operable to correlating the alarm data with a change in the topology data.

Abstract: In example embodiments, there is provided a dynamic dispatcher simulator for an electrical power system. The dynamic dispatcher simulator can be operable to receive an input from a user identity during a run time, wherein the input represents a disturbance event indicative of a simulated disturbance to an electrical power system. Based on the input, a signal can be transmitted to a transient simulation engine component. The transient simulation engine component can output simulated phasor measurement unit data representative of the disturbance event to a wide area monitoring system that facilitates a display of alarms in response to the receipt of the simulated phasor measurement unit data. The dynamic dispatcher training simulator can also receive another input from the user during the run time, the second input being representative of a simulated condition related to the electrical power system.

Abstract: The technology is generally directed towards characterizing primary frequency response parameters (e.g., frequency response coefficient, inertia, damping, droop) for an interconnection, region, and power plant utilizing phasor measure unit (PMU) data captured during an event (e.g., a generation trip event) that causes an imbalance in the power grid system. Pre-processing of localized PMU based frequency measurements combined with system identification techniques fit the observed frequency response to estimate parameters such as system inertia, frequency response coefficient, turbine time constant, system damping and governor droop that characterize the interconnection-wide frequency response.

Abstract: The technology is generally directed towards real-time power grid island detection and monitoring, including obtaining and outputting information about the cause and location of the islanding event, island size, island composition, phasor measurement units in each island, and the overall island frequency. The technology provides for suggested island resynchronization actions such as one or more circuit breakers that can be closed by the power grid system operators to resynchronize an island with the main island/system. An application program may output the information and also assist the operators during the resynchronization process by providing real time information about the voltage difference and frequency difference across each proposed circuit breaker in the suggested restoration point. Real-time tracking of the island resynchronization actions is also described.