An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

An electrical panel or an electrical meter may provide improved functionality by interacting with a smart plug. A smart plug may provide a smart-plug power monitoring signal that includes information about power consumption of devices connected to the smart plug. The smart-plug power monitoring signal may be used in conjunction with power monitoring signals from the electrical mains of the building for providing information about the operation of devices in the building. For example, the power monitoring signals may be used to (i) determine the main of the house that provides power to the smart plug, (ii) identify devices receiving power from the smart plug, (iii) improve the accuracy of identifying device state changes, and (iv) train mathematical models for identifying devices and device state changes.

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.

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.

A light performance monitoring device and optionally integrated controller includes a monitor module that directly monitors energy usage of at least one energy load to generate at least one measurement of energy usage; a storage module stores a series of baseline values of energy usage of the energy load, a comparator module compares energy measurements made at predetermined intervals with the baseline values, and a notification module notifies a designated recipient that there is a deviation from the baseline values consistent with a burned out or non-operational light fixture, including but not limited to light bulbs or ballast devices. A control module optionally integrated with the light performance monitoring device can be operatively coupled to the monitor module to control energy usage by the at least one energy load via a data link in a pre-determined manner that is based on the at least one measurement of energy usage.

A light performance monitoring device and optionally integrated controller includes a monitor module that directly monitors energy usage of at least one energy load to generate at least one measurement of energy usage; a storage module stores a series of baseline values of energy usage of the energy load, a comparator module compares energy measurements made at predetermined intervals with the baseline values, and a notification module notifies a designated recipient that there is a deviation from the baseline values consistent with a burned out or non-operational light fixture, including but not limited to light bulbs or ballast devices. A control module optionally integrated with the light performance monitoring device can be operatively coupled to the monitor module to control energy usage by the at least one energy load via a data link in a pre-determined manner that is based on the at least one measurement of energy usage.

The invention relates to an electric meter (1) for measuring the electric consumption of an electric load (R.sub.LOAD), in particular while charging an electric vehicle. The electric meter according to the invention has a current measuring device (11) in order to measure a charging current (I.sub.LOAD) which flows through a charging cable (7) to a transfer point (9, 10) for the load (R.sub.LOAD), wherein the transfer point (9, 10) is preferably located in a plug (8) of the charging cable (7). Furthermore, the electric meter (1) according to the invention includes a voltage measuring device (12) for measuring a voltage. According to the invention, the voltage measuring device (12) measures the voltage directly at the transfer point (9, 10) of the charging cable (7) in order to determine line losses in the charging cable (7), in particular in order to take into consideration the line losses when calculating the consumption.

A DSP-based electrical energy metering device is provided. After determining a current application mode, a DSP controller compares an execution rate of each computing task with a corresponding preset comparison value, and outputs a first condition value to a condition general register based on a comparison result, so as to control an execution rate of each computing task in the DSP controller. A jump condition controller outputs a second condition value corresponding to the current application mode to the condition general register based on a change in the execution rate of each computing task compared with an execution rate of the computing task in a previous application mode, so that all computing tasks are executed. An adaptive word length controller adjusts an effective bit width of the electrical signal read by a data general register from a data memory at execution rates of different computing tasks.

A DSP-based electrical energy metering device is provided. After determining a current application mode, a DSP controller compares an execution rate of each computing task with a corresponding preset comparison value, and outputs a first condition value to a condition general register based on a comparison result, so as to control an execution rate of each computing task in the DSP controller. A jump condition controller outputs a second condition value corresponding to the current application mode to the condition general register based on a change in the execution rate of each computing task compared with an execution rate of the computing task in a previous application mode, so that all computing tasks are executed. An adaptive word length controller adjusts an effective bit width of the electrical signal read by a data general register from a data memory at execution rates of different computing tasks.

This document describes systems and techniques for evaluating and improving distribution-grid observability. These systems and techniques allow engineers to quantify the observability of a distribution grid, which represents an ability to combine actual measurements and various types of computations (e.g., analytics, estimators, forecasters), from a system model. Distribution engineers can also identify islands of observability where operating parameters, including voltages, currents, and power flows, can be determined from available sensor readings. By exclusion, distribution engineers can similarly identify areas of the distribution grid with observability deficiencies that may require additional instrumentation to maintain proper operation. Distribution engineers, using an iterative or automated process, can determine the observability of the system model with new or relocated sensors to generate a sensor allocation plan. The sensor allocation plan can indicate the number and location of sensors to either maximize observability for a fixed sensor cost or minimize sensor cost for predetermined observability.