Schneider Electric USA, Inc.

Other

Square D Company

Schneider Electric Systems USA, Inc.

Jon Andrew Bickel

Johannes Menzel

Ronald W Carter

Larry E Curtis

Amjad Hasan

Theresa Krivanek Wall

Lanyon Carr

E Avery Ashby

Colton Thomas Peltier

John C Van Gorp

Michael Edward Teachman

James F Clark

Jayme Lee McQuillan

Anthony R Gray

M Jason Thurmond

Marcelo Alejandro Perez

Shaun Hope

Aaron Michael Dudley

Grégoire Quere

Daniel Douglas Sabin

Michael A Munro

Michael Edward Luczak

Gregg G Morasca

Benoît Stefanski

Karl Gurley Kersey

Aaron M Dudley

Jayme Mcquillan

Shaun M Hope

A method for characterizing power quality events in an electrical system includes deriving electrical measurement data for at least one first virtual meter in an electrical system from (a) electrical measurement data from or derived from energy-related signals captured by at least one first IED in the electrical system, and (b) electrical measurement data from or derived from energy-related signals captured by at least one second IED in the electrical system. In embodiments, the at least one first IED is installed at a first metering point in the electrical system, the at least one second IED is installed at a second metering point in the electrical system, and the at least one first virtual meter is derived or located at a third metering point in the electrical system. The derived electrical measurement data may be used to generate or update a dynamic tolerance curve associated with the third metering point.

Supplemental techniques for characterizing power quality events in an electrical system

Systems and methods for analyzing alarms to characterize electrical system issues are disclosed herein. In one aspect, a method for analyzing alarms to characterize electrical system issues includes processing electrical measurement data from or derived from energy-related signals captured or derived by at least one intelligent electronic device in the electrical system to identify events in the electrical system, and alarms triggered in response to the identified events. Information related to at least the identified events and/or the identified alarms may be aggregated, and the aggregated information may be analyzed to determine issue(s) associated with the electrical system, and origin(s), source(s), cause(s), transitions/evolutions and/or interrelationship(s) of the issue(s).

Systems and methods for analyzing alarms to characterize electrical system issues

A method for analyzing waveform capture data in a power system includes measuring electrical signals in the power system using a plurality of intelligent electronic devices (IEDs). At least one electrical event is detected in the power system based on the measured electrical signals. In response to detecting the at least one electrical event, waveform captures are generated on the IEDs. The waveform captures are analyzed on at least one controller coupled to the IEDs to identify at least one associated characteristic/trait from the waveform captures. The at least one associated characteristic/trait is classified based on at least one of the analysis and the at least one associated characteristic/trait, and at least one potential relevancy of at least one of the at least one associated characteristic/trait and the classification(s) to the power system is determined. Action may be taken based on the determined at least one potential relevancy.

Systems and methods to analyze waveforms from multiple devices in power systems

The present disclosure is directed to systems and methods for direct electrical heating of process heaters tubes (e.g., reactor tubes) using galvanic isolation techniques. The disclosure is also directed to systems and methods for direct electrical heating of process heaters tubes wherein the tubes are galvanically isolated in such a manner as to avoid the use of electrical insulation of the tube from the rest of the system, such as the other tubes, the tube inlet header and/or the tube outlet header, and the reactor shell.

Direct electrical heating of process heater tubes using galvanic isolation techniques

Systems and methods for evaluating electrical phasors to identify, assess and mitigate selected power quality issues are disclosed herein. A method in accordance with one embodiment of this disclosure includes capturing or deriving at least one energy-related signal using one or more Intelligent Electronic Devices in an electrical system, and processing electrical measurement data from, or derived from, the at least one energy-related signal to identify anomalous characteristics in the electrical system. In response to identifying the anomalous characteristics in the electrical system, a degree of voltage phase jump and a voltage sag magnitude may be determined based on or using the identified anomalous characteristics. The degree of the voltage phase jump and the voltage sag magnitude may be displayed on at least one phasor diagram, and the at least one phasor diagram may be analyzed to determine most optimal/cost-effective apparatus(es) to mitigate at least one of the identified anomalous characteristics.

Systems and methods for evaluating electrical phasors to identify, assess, and mitigate power quality issues

A heater and/or a reactor system having a conductive medium and a conductor adjacent to the conductive medium is described. The system has a source of electrical energy coupled to the conductor to provide electrical energy and create a magnetic field around the conductive medium. The system produces an eddy current that heats the conductive medium. Also described are methods of heating using the heater and/or a reactor system.

Induction heating for process electrification

Systems and methods for reducing alarm nuisance behaviors in an electrical system are disclosed herein. In one aspect, a method for reducing alarm nuisance behaviors includes processing electrical measurement data from or derived from energy-related signals captured or derived by at least one intelligent electronic device in the electrical system to identify events in the electrical system, and alarms triggered in response to the identified events and/or other events in or related to the electrical system. Information related to at least the identified events and the identified alarms may be aggregated, and the aggregated information may be analyzed to identify at least one alarm nuisance behavior. At least one action may be taken or performed based on or in response to the at least one identified alarm nuisance behavior.

Systems and methods for reducing alarm nuisance behaviors in an electrical system

Provided is a system and method to automatically identify metering constraints of one or more IEDs in an electrical system, which include capturing at least one energy-related waveform using at least one of the IEDs in the electrical system, and processing electrical measurement data from, or derived from, the at least one energy-related waveform to identify anomalous characteristics in the electrical system. In response to identifying anomalous characteristics in the electrical measurement data, an event constraint model is built based on or by using the identified anomalous characteristics. Once built, the event constraint model is analyzed to determine if the at least one energy-related waveform is being adequately captured by the at least one of the IEDs. In response to determining the at least one energy-related waveform is not adequately captured, one or more actions may be taken to address the capturing inadequacy.

Systems and methods for improving identification of issues associated with detecting anomalous conditions

A method for analyzing effects of electrical perturbations on equipment in an electrical system includes processing energy-related signals from at least one intelligent electronic device in the electrical system to identify an electrical perturbation in the electrical system. An end time of the electrical perturbation may be determined, and electrical measurement data from prior to, during and/or after the end time of the electrical perturbation may be analyzed to identify and quantify the effects of the electrical perturbation on equipment in the electrical system. The effects may include, for example, equipment restarts/re-energizations due to the electrical perturbation. One or more actions may be taken or performed to reduce the effects of the electrical perturbation and extend the life of the equipment. The actions may include, for example, at least one of communicating the equipment restarts/re-energizations and controlling at least one component in the electrical system.

Systems and methods for analyzing effects of electrical perturbations on equipment in an electrical system

A method for reducing and/or managing energy-related stress in an electrical system includes processing electrical measurement data from or derived from energy-related signals captured by at least one intelligent electronic device (IED) in the electrical system to identify and track at least one energy-related transient in the electrical system. An impact of the at least one energy-related transient on equipment in the electrical system is quantified, and one or more transient-related alarms are generated in response to the impact of the at least one energy-related transient being near, within or above a predetermined range of the stress tolerance of the equipment. The transient-related alarms are prioritized based in part on at least one of the stress tolerance of the equipment, the stress associated with one or more transient events, and accumulated energy-related stress on the equipment. One or more actions are taken in the electrical system in response to the transient-related alarms to reduce energy-related stress on the equipment in the electrical system.

Systems and methods for managing energy-related stress in an electrical system

In a method and system, voltage and/or current signals on an electrical/power system is monitored. A power event is identified from the monitored voltage and/or current signals. In response to event identification, waveforms of the monitored voltage and/or current signals are captured. Energy-related signals are calculated and extracted from pre-event measurements, event measurements and post-event measurements using the captured waveforms. Additional information associated with the event is identified and calculated by comparing (a) the calculated and used energy-related signals from pre-event measurements, with (b) the calculated and used energy-related signals from post-event measurements.

Systems and methods for intelligent event waveform analysis

A method for monitoring energy-related data in an electrical system includes processing energy-related data from or derived from energy-related signals captured by at least one intelligent electronic device in the electrical system to identify at least one variation/change in the energy-related signals. The method also includes determining if the at least one identified variation/change meets a prescribed threshold or thresholds, and in response to the at least one identified variation/change meeting the prescribed threshold or thresholds, characterizing and/or quantifying the at least one identified variation/change. Information related to the characterized and/or quantified at least one identified variation/change is appended to time-series information associated with the energy-related data, and characteristics and/or quantities associated with the time-series information are evaluated to identify at least one potential load type associated with the characterized and/or quantified at least one identified variation/change.

Systems and methods for monitoring energy-related data in an electrical system

A method for analyzing power quality events in an electrical system includes processing electrical measurement data from or derived from energy-related signals captured by at least one of a plurality of metering devices in the electrical system to generate or update a plurality of dynamic tolerance curves. Each of the plurality of dynamic tolerance curves characterizes a response characteristic of the electrical system at a respective metering point of a plurality of metering points in the electrical system. Power quality data from the plurality of dynamic tolerance curves is selectively aggregated to analyze power quality events in the electrical system.

Growing community of inventors

Murfreesboro, TN, United States of America

Jon Andrew Bickel