Abstract: A power management architecture for an electrical power distribution system, or portion thereof, is disclosed. The architecture includes multiple intelligent electronic devices (“IED's”) distributed throughout the power distribution system to manage the flow and consumption of power from the system. The IED's are linked via a network to back-end servers. Power management application software and/or hardware components operate on the IED's and the back-end servers and inter-operate via the network to implement a power management application. The communications between the IED's and the back-end servers are facilitated through network security devices such as firewalls.

Abstract: An intelligent electronic device for measuring various power parameters from a electrical power distribution system is disclosed. The device is capable of measuring and reporting the reliability of the electrical power distribution system as the number of consecutive 9's digits appearing in the computed percentage of system downtime versus system uptime. Depending on the level of reliability required, the computation of the percentage may be altered to increase or decrease resolution.

Abstract: A power management architecture for an electrical power distribution system, or portion thereof, is disclosed. The architecture includes multiple intelligent electronic devices (“IED's”) distributed throughout the power distribution system to manage the flow and consumption of power from the system using real time communications. Power management application software and/or hardware components operate on the IED's and the back-end servers and inter-operate via the network to implement a power management application. The architecture provides a scalable and cost effective framework of hardware and software upon which such power management applications can operate to manage the distribution and consumption of electrical power by one or more utilities/suppliers and/or customers which provide and utilize the power distribution system.

Abstract: Power quality detection, monitoring, reporting, recording and communication in a revenue accuracy electrical power meter is disclosed. Transient events are detected by monitoring the wave shape of the electrical power and comparing deviations to a known threshold. Sags and Swells are detected by computing root mean square value over a rolling window and comparing the computed value with a known threshold. Harmonic frequencies and symmetrical components are quantified by a known algorithm and compared with a known threshold. Incoming waveforms are stored to memory. All recorded and computed data is moved to non-volatile storage via direct memory access transfer in the event that a power quality event jeopardizes the operating power of the meter. Further, the meter provides a power supply utilizing high and low capacitive storage banks to supply sufficient energy to survive short duration power quality events which jeopardize the meter's operating power.

Abstract: An intelligent electronic device for measuring various power parameters from a electrical power distribution system is disclosed. The device is capable of measuring and reporting the reliability of the electrical power distribution system as the number of consecutive 9's digits appearing in the computed percentage of system downtime versus system uptime. The number of 9's is computed in a manner which does not incur inaccuracies at high resolutions due to digital floating point mathematical computation methods.

Abstract: An improved method of upgrading the firmware of an electronic device is disclosed. The method is executed over a communications link. The method includes compression of a portion of the new firmware, but does not require the device to have any pre-existing decompression algorithms built into it. A system and device capable of executing the method is also disclosed.

Abstract: Power quality detection, monitoring, reporting, recording and communication in a revenue accuracy electrical power meter is disclosed. Transient events are detected by monitoring the wave shape of the electrical power and comparing deviations to a known threshold. Sags and Swells are detected by computing root mean square value over a rolling window and comparing the computed value with a known threshold. Harmonic frequencies and symmetrical components are quantified by a known algorithm and compared with a known threshold. Incoming waveforms are stored to memory. All recorded and computed data is moved to non-volatile storage via direct memory access transfer in the event that a power quality event jeopardizes the operating power of the meter. Further, the meter provides a power supply utilizing high and low capacitive storage banks to supply sufficient energy to survive short duration power quality events which jeopardize the meter's operating power.

Abstract: Power quality detection, monitoring, reporting, recording and communication in a revenue accuracy electrical power meter is disclosed. Transient events are detected by monitoring the wave shape of the electrical power and comparing deviations to a known threshold. Sags and Swells are detected by computing root mean square value over a rolling window and comparing the computed value with a known threshold. Harmonic frequencies and symmetrical components are quantified by a known algorithm and compared with a known threshold. Incoming waveforms are stored to memory. All recorded and computed data is moved to non-volatile storage via direct memory access transfer in the event that a power quality event jeopardizes the operating power of the meter. Further, the meter provides a power supply utilizing high and low capacitive storage banks to supply sufficient energy to survive short duration power quality events which jeopardize the meter's operating power.

Abstract: An intelligent electronic device for measuring various power parameters from a electrical power distribution system is disclosed. The device is capable of measuring and reporting the reliability of the electrical power distribution system as the number of consecutive 9's digits appearing in the computed percentage of system downtime versus system uptime. The number of 9's is computed in a manner which does not incur inaccuracies at high resolutions due to digital floating point mathematical computation methods.

Abstract: An object oriented architecture is used within individual monitoring units. The monitoring devices include circuitry which receives an electrical signal and generates at least one digital signal representing the electrical signal. Objects within such individual monitoring units include modules which perform a function and registers which contain the inputs, outputs and setup information for the modules. Methods can be invoked on all objects to change or query the operation or configuration of the device. At least one of the modules receives the digital signal as an input and uses the signal to generate measured parameters. Additional modules take measured parameters as input and generate additional parameters therefrom. The module may be linked in an arbitrary manner to form arbitrary functional blocks.

Abstract: An object oriented architecture is used within individual monitoring units. The monitoring devices include circuitry which receives an electrical signal and generates at least one digital signal representing the electrical signal. Objects within such individual monitoring units include modules which perform a function and registers which contain the inputs, outputs and setup information for the modules. Methods can be invoked on all objects to change or query the operation or configuration of the device. At least one of the modules receives the digital signal as an input and uses the signal to generate measured parameters. Additional modules take measured parameters as input and generate additional parameters therefrom. The module may be linked in an arbitrary manner to form arbitrary functional blocks.