Abstract:
Systems, methods, and devices are provided for dynamically generating a histogram for viewing via a user interface. Embodiments presented herein provide apparatus and techniques for generating a histogram and adjusting a view of the histogram without the computations being perceived by a user. To do so, histogram indices may be computed for various time intervals (e.g., minutes, hours, days, etc.) of input data. The indices may be used to generate a histogram for a time interval that may be larger than the interval used to compute the histogram indices. At the time period for the histogram displayed via the user interface is changed by the user, a dynamic histogram builder computes an adjusted histogram using histogram indices for the updated and/or changed time period. Embodiments herein provide techniques which reduce the time to compute the histogram and consume less computing resources to do so.
Abstract:
The present disclosure relates to searching electric power system waveforms. Disclosed herein are various systems and methods for improving search performance through indexing electric power system waveforms using waveform attributes such as frequency, amplitude, angle, rate of change, and the like. According to some embodiments, multiple indexes may be used together to find information of interest. A reference signal may be utilized according to some embodiments. Normalizing a plurality of waveforms using a reference signal may facilitate the use of an index for comparing two arbitrary waveforms. This disclosure also relates to detecting and indexing islanding conditions in an electric power system. Various embodiments may utilize information relating to islanding conditions in connection with search operations.
Abstract:
Disclosed herein are systems, devices, and methods for improving cybersecurity in electric power systems. In one embodiment, a local controller configured for use in an electric power system may include a measurement subsystem to receive a plurality of conditions related to electrical conditions in a microgrid. A communication subsystem may communicate a set of data related to conditions in the microgrid to a remote controller; and receive a plurality of requests for control actions from the remote controller. An analysis subsystem may generate an assessment of the plurality of requests for control actions in relation to the plurality of conditions related to electrical conditions in the microgrid and identify a subset of the plurality of requests for control actions from the remote controller for execution based on the assessment. A control action subsystem may then issue a control action to an asset in the microgrid.
Abstract:
Combining and analyzing streamed and polled electric power delivery system information is disclosed herein. A system therefore includes a plurality of IEDs in communication with the electric power distribution system and configured to provide streaming and/or polled data via a communications network. An analysis engine in communication with the communications network receives selected streaming information and requested polled information, analyzes such streamed and polled information, and provides a display of such streaming and polled information to a user.
Abstract:
A system, method, and computer program product are provided for representation of high-frequency signal data. In use, input data is received including high-frequency signals, wherein the input data is of a first width. Next, the input data is processed to manage display of the input data, where specifically the input data is divided into one or more segments based on first criteria including the first width, and from each segment of the one or more segments, a maximum value is identified and a minimum value is identified. The maximum and minimum may be trend maximum and minimum values. The input data is transformed to a visualizable representation of the high-frequency signals, the visualizable representation of the high-frequency signals including a plot of the maximum value and the minimum value for each segment of the one or more segments. Additionally, the plot is displayed.
Abstract:
A system, method, and computer program product are provided for representation of high-frequency signal data. In use, input data is received including high-frequency signals, wherein the input data is of a first width. Next, the input data is processed to manage display of the input data, where specifically the input data is divided into one or more segments based on first criteria including the first width, and from each segment of the one or more segments, a maximum value is identified and a minimum value is identified. Still yet, the input data is transformed to a visualizable representation of the high-frequency signals, the visualizable representation of the high-frequency signals including a plot of the maximum value and the minimum value for each segment of the one or more segments. Additionally, the plot is displayed.
Abstract:
Disclosed is state trajectory prediction in an electric power delivery system. Electric power delivery system information is calculated from measurements by intelligent electronic devices (IEDs), and communicated to a state trajectory prediction system. The state trajectory prediction system may be configured to generate a load prediction profile. The load prediction profile may provide a predicted response of a load at a future time. Further, the state trajectory prediction system may be configured to generate a generator prediction profile that provides a predicted response of a generator at a future time. The state trajectory prediction system may generate a state trajectory prediction based, at least in part, on the load prediction profile and the generator prediction profile. The state trajectory prediction may represent a future state of the electric power delivery system.
Abstract:
Systems, methods, and devices are provided for dynamically generating a histogram for viewing via a user interface. Embodiments presented herein provide apparatus and techniques for generating a histogram and adjusting a view of the histogram without the computations being perceived by a user. To do so, histogram indices may be computed for various time intervals (e.g., minutes, hours, days, etc.) of input data. The indices may be used to generate a histogram for a time interval that may be larger than the interval used to compute the histogram indices. At the time period for the histogram displayed via the user interface is changed by the user, a dynamic histogram builder computes an adjusted histogram using histogram indices for the updated and/or changed time period. Embodiments herein provide techniques which reduce the time to compute the histogram and consume less computing resources to do so.
Abstract:
A system, method, and computer program product are provided for representation of high-frequency signal data. In use, input data is received including high-frequency signals, wherein the input data is of a first width. Next, the input data is processed to manage display of the input data, where specifically the input data is divided into one or more segments based on first criteria including the first width, and from each segment of the one or more segments, a maximum value is identified and a minimum value is identified. The maximum and minimum may be trend maximum and minimum values. The input data is transformed to a visualizable representation of the high-frequency signals, the visualizable representation of the high-frequency signals including a plot of the maximum value and the minimum value for each segment of the one or more segments. Additionally, the plot is displayed.
Abstract:
A system, method, and computer program product are provided for representation of high-frequency signal data. In use, input data is received including high-frequency signals, wherein the input data is of a first width. Next, the input data is processed to manage display of the input data, where specifically the input data is divided into one or more segments based on first criteria including the first width, and from each segment of the one or more segments, a maximum value is identified and a minimum value is identified. Still yet, the input data is transformed to a visualizable representation of the high-frequency signals, the visualizable representation of the high-frequency signals including a plot of the maximum value and the minimum value for each segment of the one or more segments. Additionally, the plot is displayed.