A device and method are provided for monitoring quality and performance parameters of an electricity distribution component in an electricity distribution network and detecting any deviation of operating parameters from the specified regulatory set and enforced limits. The critical and increasing problem is mitigated for the myriad of private domestic and commercial DEG devices being installed and connected to the distribution networks which were not initially designed for, or even not anticipated with, the recent DEG evolution, and the increasing complex electrical components with changing loads and power factors across the distribution network.

A system for monitoring electric energy amount according to one embodiment of the present disclosure includes an electric energy system including one or more loads receiving electric energy through an external electric energy source and a renewable energy generator, a home server for receiving information of a first electric energy amount that is an electric energy amount consumed by the one or more loads, a second electric energy amount that is supplied from the external electric energy source to the electric energy system, and a third electric energy amount that is supplied from the renewable energy generator to the electric energy system, and an electric energy amount monitoring server calculating the second electric energy amount or the third electric energy amount from electric energy consumption of the electric energy system, which is received from the home server, and supply electric energy amount information supplied to the electric energy system.

The invention relates to a disaggregation apparatus (4) for being used in a multi-group electrical network (5), which comprises multiple electrical groups (1, 2, 3), each comprising one or more appliances (1.sub.1, 1.sub.2, 1.sub.3, 2.sub.1, 2.sub.2, 2.sub.3, 3.sub.1, 3.sub.2, 3.sub.3). A determination unit (7) determines an electrical group (1, 2, 3) comprising an appliance, of which an operational state has been changed, based on first changes in mains voltages (V.sub.1, V.sub.2, V.sub.3) measured while the operational state change occurs, second and third changes in the mains voltages (V.sub.1, V.sub.2, V.sub.3) measured while switchable loads (1.sub.n, 2.sub.n, 3.sub.n) are switched, and the resistances (R.sub.1n, R.sub.2n, R.sub.3n) of the switchable loads (1.sub.n, 2.sub.n, 3.sub.n). Thus, a misdetection due to an operational state change of an appliance in another electrical group may be avoided and the accuracy of disaggregation may be improved in a multi-group electrical network (5).

The present system relates to a power topology mapping system for identifying which one of one or more equipment components are being powered from a specific phase of a multi-phase AC power source. The system makes use of a plurality of power receiving subsystems which each receive an AC power signal from at least one phase of the multi-phase AC power source. Each power receiving subsystem has a communications card, an identification designation unique to it, and a controller. One of the power receiving subsystems is designated as a reference power domain component. The controllers each carry out phase angle measurements associated with the AC power signal being received by its power receiving subsystem. A topology mapping subsystem is included which analyzes phase angle measurement data reported by the power receiving subsystems and determines which subsystem is being powered by which phase of the multi-phase AC signal.

An apparatus for monitoring an electrical apparatus, the load monitoring apparatus comprising a controller which is configured to capture and process voltage and current data of an electrical apparatus, which is electrically connected with a power supply, to obtain electrical parameters of the electrical apparatus, to store the electrical parameters as measured electrical parameters, to compare the measured electrical parameters with a set of pre-stored electrical parameters, to determine whether the measured electrical parameters match with the stored electrical parameters, and to operate a power switch to turn off power supply to the electrical parameters if the measured electrical parameters do not match with the stored electrical parameters.

A symmetric method for obtaining branch-mean-square-current components induced by sources and loads at individual buses in AC power networks is invented. Two linear expressions of bus injection active and reactive powers in terms of translation voltages and voltage angles of all buses are established at first. Then a linear symmetric matrix-equation model for the steady state of the network is built. Manipulating this model by Moore-Penrose pseudoinverse produces a linear symmetric matrix expression of translation voltages and voltage angles of all buses in terms of bus injection powers. Expressing the branch mean-square current in terms of source's and load's powers by this matrix expression, a symmetric algebraic calculation formula for obtaining the branch-mean-square-current components is produced after manipulating by Shapley value theorem, by which the obtaining of branch-mean-square-current components are achieved. The set of branch-mean-square-current components provides a new efficient tool for security correction of AC power networks.

A method and apparatus for detecting and prioritizing loads comprising a load analyzer configured to receive at least one load monitoring signal from at least one channel, where each channel is configured to be coupled to at least one load, and analyze at least one load signature derived from the at least one load monitoring signal to detect a load type that is connected to the at least one channel and assign an energy consumption priority to the at least one load.

A method and device for estimating spatial distribution of power system inertia based on multi-innovation identification. The method includes: (S1) acquiring time-series data including each node frequency of a power system and a transmission power of a transmission line; decomposing a frequency signal in a series of different spaces to identify a disturbance occurring moment; (S2) analyzing a relationship among node inertia, node frequency and node injection power; constructing an OEMA model to describe an active power-frequency dynamic process of the node after the disturbance occurs; analyzing a coupling relationship between an unknown parameter of the model and the node inertia; (S3) solving the OEMA model based on multi-innovation identification to identity the unknown parameter; and (S4) according to the relationship between a vector of the parameter and the node inertia, calculating each node inertia to estimate the spatial distribution of the power system inertia.

Methods, Systems, and Computer program products can use grid telemetry to generate a fingerprint. One of these methods includes generating a first grid telemetry fingerprint based on characteristics of an electrical grid. The method also includes verifying a transaction based on the first grid telemetry fingerprint and a second grid telemetry fingerprint associated with the transaction.

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.