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.

Described herein is a method for determining a presence of anomalous conditions in a switching apparatus installed in an electric line of an electric power distribution grid. The method includes a sequence of steps for adjusting a lumped-parameter model describing, for each electric phase, the behavior of the switching apparatus during the opening maneuvers of the switching apparatus. Simulation values provided by the lumped-parameter model are used for calculating estimation values indicative of the amounts of arc energy released by the breaking components of the switching apparatus during the opening maneuvers of the switching apparatus.

A smart power system is described. In one or more implementations, the smart power system comprises a microcontroller and a power converter electrically connected to the microcontroller and is configured to convert electrical energy from one form to another. The system also includes a switch element electrically connected to the microcontroller and configured to control distribution of the converted electrical energy to an electrical load. A sense element is electrically connected to the electrical load and to the microcontroller and is configured to monitor the converted electrical energy distributed to the electrical load and to furnish a feedback signal based upon the converted electrical energy. The microcontroller is configured to verify and to monitor the power converter, as well as to control and to monitor distribution of the converted electrical energy to the electrical load based upon the feedback signal.

A method for controlling a power distribution system having a number of discretely controllable devices includes processing a system state, defined by observations acquired via measurement signals from a number of meters, using a reinforcement learned control policy including a deep learning model, to output a control action including integer actions for the controllable devices. The integer actions are determined by using learned parameters of the deep learning model to compute logits for a categorical distribution of predicted actions from the system state, that define switchable states of the controllable devices. The logits are processed to reduce the categorical distribution of predicted actions for each controllable device to an integer action for that controllable device. The control action is communicated to the controllable devices for effecting a change of state of one or more of the controllable devices, to regulate voltage and reactive power flow in the power distribution system.

A device includes an input converter, an output converter, and a controller. The input converter is electrically coupled to an electrical meter and an energy production array. The output converter is electrically coupled to the energy production array and a load. The controller is communicatively coupled to the input converter, the output converter, the energy production array, and the load. The input converter and the output converter are positioned between the electrical meter and the load.

A control system of an electric power distribution system includes processing circuitry and a memory having instructions that, when executed by the processing circuitry, cause the processing circuitry to perform operations that include receiving an indication of a profile, generating a connectivity association key (CAK) based on the profile, distributing a copy of the CAK to a device of the electric power distribution system, and establishing a connectivity association with the device in accordance with the profile based on a verification that the device possesses the copy of the CAK.

An electric driven hydraulic fracking system is disclosed. A pump configuration that includes the single VFD, the single shaft electric motor, and the single hydraulic pump that is mounted on the single pump trailer. A pump configuration includes a single VFD configuration, the single shaft electric motor, and the single shaft hydraulic pump mounted on the single pump trailer. The single VFD configuration converts the electric power at the power generation voltage level distributed from the power distribution trailer to a VFD voltage level and drives the single shaft electric motor to control the operation of the single shaft electric motor and the single hydraulic pump. The VFD voltage level is a voltage level that is required to drive the single shaft electric motor. The VFD configuration also controls operation of the auxiliary systems based on the electric power at the auxiliary voltage level.

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for detecting downstream devices connected to an electrical load controlling device. An example embodiment operates by detecting an association signal from a downstream smart device responsive to a downstream smart device detection signal. The example embodiment further operates by determining whether the downstream smart device is coupled to an electrical terminal of an electrical switching device and configured to receive electricity in response to an actuation of the electrical switching device. If so, the example embodiment further operates by generating a control signal configured to instruct the electrical switching device to prevent a deactuation of the electrical switching device and transmitting the control signal to the electrical switching device.

A menu selection technique is based on orientation of a companion module used in a flexible load management (FLM) system. The FLM system includes a load center that utilizes circuit breakers in combination with companion modules (i.e., intelligent controllers). Each companion module has a graphical display as well as a push button included on a face of the module as an input device used to display and input information including icons, buttons, controls, messages, status, menus or other desired text on a user interface (UI) to enable a user to configure and operate the companion module. The companion module also includes an accelerometer configured to detect a gravitational orientation (i.e., a first orientation and an opposite or upside-down orientation) and movement of the module and, in response, generate a signal that is translated to a corresponding change in orientation of the information displayed on the UI, particularly when the companion module inserted into the load center.

A remote load switching circuit breaker includes a primary contact; a secondary contact in series with the primary contact and coupled to a secondary contact driving circuit, where the secondary contact is switched on and off remotely by a user using a user device communicatively coupled to the remote load switching circuit breaker via wireless communications technologies; a shunt element structured to measure a shunt voltage drop and to tap power from a line side of the primary contact; a control circuit comprising a controller and a communication module, the controller including a firmware; and a power supply and sensing circuit structured to supply power to the control circuit and to sense various voltages, where the secondary contact is fully powered by the power supply and sensing circuit.