A powerline load monitor has a voltage sense input, a current sense input, a clock input and a data output. It includes first and second ADCs coupled with the voltage sense and current sense input, and coupled with a serial interface. A power manager is coupled with the clock input, the ADCs, and the serial interface. When the power manager receives a first clock, it puts the powerline load monitor in active mode and starts a first timer with a first timeout time. The first and second ADC convert a sensed voltage and a sensed current to digital values for the serial interface. When the serial interface receives a trailing edge of a clock pulse, it outputs a data bit of the digital values. When the first timer times out, the power manager puts the powerline load monitor in a standby mode to save power.

DeepOPF-V, a deep neural network (DNN)-based voltage-constrained approach for solving an alternating-current optimal power flow (AC-OPF) problem, is used to determine an operating point of an AC electrical power system. DeepOPE-V advantageously uses two DNNs to separately determine voltage magnitudes and voltage phase angles of buses in the system without cross-over operations between the two DNNs. A computation complexity is reduced when compared to using a single DNN for generating both the magnitudes and phase angles, allowing high computation efficiency achieved by DeepOPE-V. Remaining variables of the system are computed based on the determined magnitudes and phase angles. A solution for the operating condition is predicted. A fast post-processing (PP) method is developed to improve the feasibility of the predicted solution. The PP method uses linear adjustment to adjust the predicted solution to improve the solution feasibility while enabling fast execution of the PP method.

A system and method for compensating for drift in a switch gear voltage sensor. The system includes a circuit, and an electronic processor. The circuit is configured to receive a first signal from a first capacitor of the voltage sensor and receive a second signal from a second capacitor of the voltage sensor. The circuit is further configured to generate a third signal and a fourth signal based on the first signal and the second signal. The electronic processor is configured to receive the third signal and the fourth signal and determine an angular frequency, a phase difference, a resistance value, a voltage across a compensation capacitor, an initial gain, a capacitance of the second capacitor, a capacitance and a voltage of the compensation capacitor, and a final gain.

Some embodiments include a system for metering an electrical grid comprising at least one processor executing instructions from a non-transitory computer-readable storage medium of an electrical grid fault detection system. In some embodiments of the system, the instructions cause a processor to calculate a prediction of whether power delivery to at least a portion of the electrical grid is functioning abnormally using voltage sensing devices coupled to at least one feeder, where one or more of the voltage sensing devices are responsive to a determination that the power delivery is functioning abnormally. Further in some embodiments, the determination includes the electrical grid fault detection system receiving at least one signal or voltage reading from the electrical grid based at least in part on a sensed or received voltage level or range of voltage level.

An electric energy meter for a poly-phase electricity network includes a power transformer having a primary side and a secondary side, a first analog front end (AFE) unit is coupled to the secondary side of the power transformer, and a microcontroller coupled to the primary side of the power transformer. The first AFE unit is to be coupled to a first phase of the poly-phase electricity network. The microcontroller is configured to transmit a digitized request signal to, and to receive a measurement signal from, the first AFE unit via the power transformer. More specifically, the first AFE unit, upon receiving the digitized request signal, is to extract information from the digitized request signal.

There is provided mechanisms for time-synchronized communication of packets between a first substation and a second substation interconnected by a communication channel. Samples obtained within the second substation are provided with time information associated with a common reference clock and sent to the first substation, at which a time-wise synchronization of the received samples with samples obtained within the first substation is performed by means of the time information and a time difference between the common reference clock and a local reference clock of the first substation.

A device and a method including a power supply module operative to extract electric power from magnetic field surrounding an electric cable, a transceiver operative to communicate in a backhaul network, a transceiver for a wireless local area network and/or a remote sensing unit, and a controller module communicatively coupled to the transceiver and/or remote sensing unit, where the device is mounted around a single electric cable of an electric transmission grid or an electric distribution grid, and where the device derives power form the single electric cable.

In at least some cases, an embodiment of an electric power industry structure monitor is arranged as a distribution transformer monitor. In at least some cases, an electric power industry structure monitor is arranged as a tilt sensor monitor. In at least some cases an electric power industry structure monitor is arranged as a high-voltage tower (e.g., power pole) monitor. In some cases, the electric power industry structure monitor includes a housing arranged for positioning on an electric power industry structure, and a sensor arranged in the housing. The sensor is positioned to generate digital data associated with at least one environmental condition that exists proximal to the electric power industry structure monitor. The monitor also includes a processing circuit arranged to determine from the generated digital data that the at least one environmental condition has crossed a threshold.

An intelligent power distribution device is provided, which includes a power distribution diagnosis module and a power distribution monitoring module. The power distribution monitoring module includes a power measuring and controlling instrument. The power measuring and controlling instrument is configured to connect to a power supply line to be protected, and measure power data of the power supply line. The power distribution diagnosis module is connected to the power measuring and controlling instrument, and is configured to analyze the power data uploaded by the power measuring and controlling instrument, and protect the power supply line when it is determined based on an analysis result that the power supply line requires protection. Based on the analysis result of the power data of the power supply line, the intelligent power distribution device can protect the power supply line precisely and accurately, thereby improving protection effect of the power supply line.

A system and method for adjusting estimated number of customers affected by an electrical power distribution network incident. Incident reports indicating a number of affected customers and an incident definition for incidents occurring over an accumulation time are accumulated, where each incident report. For each incident report, a signature is determined based on characterizing respective incidents and includes respective characteristics of the incidents associated with each incident report. A subject incident report is received subsequent to the accumulation time. A signature is determined for the subject incident report. Similar incident reports that have signatures similar to the subject incident are identified. A composite estimated number of affected customers for the subject incident is determined based on the associated numbers of affected customers for each similar incident report. An initial estimate of customers affected by the subject incident is adjusted based on the composite estimated number of affected customers.