Abstract: A method to automatically optimize waveform captures from an electrical system includes capturing at least one energy-related waveform using at least one Intelligent Electronic Device (IED) in the electrical system. The at least one captured energy-related waveform is analyzed to determine if the at least one captured energy-related waveform is capable of being compressed, while maintaining relevant attributes for characterization, analysis and/or other use. In response to determining the at least one captured energy-related waveform is capable of being compressed, while maintaining relevant attributes for characterization, analysis, and/or use, the at least one captured energy-related waveform may be compressed using at least one compression technique to generate at least one compressed energy-related waveform. One or more actions may be taken based on or using the at least one compressed energy-related waveform.

Abstract: 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.

Abstract: Systems and methods for improving identification of issues associated with detecting anomalous conditions (e.g., electrical transient voltages) in electrical systems are disclosed herein. The anomalous conditions may be difficult to discern, for example, due to metering constraints of Intelligent Electronic Devices (IEDs) responsible for identifying the anomalous conditions in the electrical systems. In one aspect of this disclosure, a method to automatically identify metering constraints of one or more IEDs in an electrical system includes 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. The anomalous characteristics may be indicative of an anomalous condition in the electrical system, for example.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for managing voltage event alarms in an electrical system are provided. In one aspect of this disclosure, a method for managing voltage event alarms 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) to identify an anomalous voltage condition at a point of installation in the electrical system. The anomalous voltage condition may correspond, for example, to a measured IED voltage being above or greater than one or more upper alarm thresholds or below or less than one or more lower alarm thresholds. The method also includes determining if the electrical system is affected by the identified anomalous voltage condition.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for quantifying power quality events in an electrical system including a plurality of intelligent electronic devices (IEDs) includes processing electrical measurement data from or derived from energy-related signals captured by at least one first IED of the plurality of IEDs to identify a power quality event at a first point of installation of the at least one first IED in the electrical system. An impact of the power quality event at a second point of installation in the electrical system is determined based on an evaluation of electrical measurement data from or derived from energy-related signals captured by at least one second IED of the plurality of IEDs at the second point of installation proximate to a determined time of occurrence of the power quality event at the first point of installation.

Abstract: 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.

Abstract: 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 metering device in the electrical system to generate at least one dynamic tolerance curve. Each dynamic tolerance curve of the at least one dynamic tolerance curve characterizes a response characteristic of the electrical system at a respective metering point in the electrical system. The method also includes analyzing the at least one dynamic tolerance curve to identify special cases which require further evaluation(s)/clarification to be discernable and/or actionable. The at least one dynamic tolerance curve may be regenerated or updated, and/or new or additional dynamic tolerance curves may be generated, to provide the further clarification. One or more actions affecting at least one component in the electrical system may be performed in response to an analysis of the curve(s).

Abstract: A method for managing power quality events in an electrical system includes processing electrical measurement data captured by an intelligent electronic device (IED) to identify at least one power quality event associated with one or more loads monitored by the IED. The IED and the loads are installed at respective locations in the electrical system. The method also includes determining an impact of the at least one identified power quality event on one or more of the loads, and using the at least one identified power quality event and the determined impact to generate a tolerance curve associated with the one or more of the loads. The tolerance curve characterizes a tolerance level of the loads to certain power quality events. The loads can include one or more loads “downstream” from the IED in the electrical system and/or one or more loads “upstream” from IED in the electrical system.

Abstract: A method for managing power quality events 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) to identify at least one power quality event associated with one or more loads monitored by the at least one IED. The method also includes determining at least one means for mitigating or eliminating an impact (and/or reducing a recovery time) of the at least one identified power quality event on the electrical system based, at least in part, on an evaluation of a dynamic tolerance curve associated with one or more loads in the electrical system. The method further includes applying one or more of the at least one means for mitigating or eliminating the impact (and/or reducing the recovery time) to selected portions or zones of the electrical system.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for managing voltage event alarms in an electrical system are provided. In one aspect of this disclosure, a method for managing voltage event alarms 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) to identify an anomalous voltage condition at a point of installation in the electrical system. The anomalous voltage condition may correspond, for example, to a measured IED voltage being above or greater than one or more upper alarm thresholds or below or less than one or more lower alarm thresholds. The method also includes determining if the electrical system is affected by the identified anomalous voltage condition.

Abstract: A method for managing voltage event alarms in an electrical system includes processing electrical measurement data from energy-related signals captured by at least one intelligent electronic device (IED) of a plurality of IEDs to identify an anomalous voltage condition at a point of installation of a respective one of the plurality of IEDs in the electrical system. In embodiments, the anomalous voltage condition corresponds to a measured IED voltage being above one or more upper alarm thresholds or below one or more lower alarm thresholds. The method also includes determining if the electrical system is affected by the identified anomalous voltage condition. In response to determining that the electrical system is not affected by the identified anomalous voltage condition, at least one of the one or more upper alarm thresholds or at least one of the one or more lower alarm thresholds may be adjusted to the measured IED voltage.

Abstract: A method of automatically identifying an anomalous condition of an induction motor by normalizing the voltage measured across its terminals relative to the power flow to the motor or the motor's impedance. The starting and/or run current and associated voltage of the motor is measured, and a voltage variation between the measured voltage and the motor's rated voltage is determined. The power flow or impedance at the voltage variation is calculated to determine an expected power flow or impedance at the measured voltage variation. The actual power flow or impedance is compared against a nominal or expected power flow or impedance or a statistical comparison is carried out on a historical set of power flow or impedance values within an expected range at the voltage variation. When the measured values deviate from the expected ones, an alarm is triggered to indicate a potential anomaly with the motor or external thereto.