Schweitzer Engineering Laboratories, Inc.

Matthew Jacob Halladay

Eric J Hewitt

Gregary C Zweigle

Ellery Abner Blood

Peter S LaDow

Eric Andrew Silk

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.

Cybersecurity in electric power systems

The present disclosure pertains to systems and methods to compress an input signal representing a parameter in an electric power system. In one embodiment, a system includes a data acquisition subsystem to receive an input signal comprising a plurality of high-speed representations of electrical conditions. A linear prediction subsystem generates an excitation signal estimate based on the input signal, a plurality of linear prediction coefficients based on the input signal, and an estimated signal based on the excitation signal estimate and the plurality of linear prediction coefficients. An error encoding subsystem may generate an encoding of an error signal based on a difference between the input signal and the estimated signal. A non-transitory computer-readable storage medium may store an encoded and compressed representation of the input signal comprising the excitation signal estimate, the plurality of linear prediction coefficients, and the encoding of the error signal.

Compression of power system signals

The present disclosure pertains to detection of anomalous conditions in a variety of types of systems. In one embodiment, a system may be configured to identify anomalous conditions in a stream of measurements. The system may include a communications interface configured to receive a stream of measurements. An archive subsystem may maintain a data archive comprising a statistical representation of the stream of measurements. A pre-processing subsystem may divide the stream of measurements into a plurality of data windows. The plurality of data windows may be analyzed by an analysis subsystem configured to generate a plurality of normalized representations based on the data archive. The plurality of normalized representations may be grouped into a plurality of ranges. An anomaly detection subsystem may perform a comparison of the plurality of normalized representations to at least one threshold and may determine that the comparison indicates an anomalous condition.

Detection of electric power system anomalies in streaming measurements

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.

Generating a representation of high-frequency electric power delivery system data using deviations from a trend

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.

Growing community of inventors

Moscow, ID, United States of America

Matthew Jacob Halladay