The application discloses a method and apparatus for determining an operational status of one or more power grid components (35) of a power grid (30). The grid components (35) have component signatures representative of the operational status of the power grid component (35). The method includes obtaining, using a monitor (20), at least one of a current waveform or a voltage waveform at a location, analyzing the obtained one of the current waveform or the voltage waveform, establishing one or more waveform data values of the waveform, accessing a database having a plurality of component signatures, and by comparison of the waveform data values with the component signatures producing one or more results representative of the operational status.

A code modulator includes: a code-modulation circuit that code-modulates input power with a modulation code to generate code-modulated power which is alternating-current power; and a terminal through which the code-modulated power is transmitted, the terminal being connected to a transmission path.

Embodiments of this application disclose a method, an apparatus, and a system for information transmission in a PLC network. A switch control apparatus in embodiments of this application includes a switch and a coupling circuit. The coupling circuit is connected in parallel to two ends of the switch. When the switch is open, the coupling circuit transmits a first power line communication (PLC) signal to a gateway device. In embodiments of this application, when the switch is open, the PLC signal may be sent to the gateway device and information such as power off and tripping may be reported to the gateway device.

A method for improving an autonomous microgrid, and an autonomous microgrid that includes a plurality of inverter-based distributed generations. Each of the inverter-based distributed generations is coupled to a corresponding power droop controller, a corresponding voltage controller, and a corresponding current controller. The autonomous microgrid further includes a constant power load (CPL) coupled to one of the plurality of inverted-based distributed generations. The CPL includes a phase locked loop (PLL), a DC voltage controller and an AC current controller. Power-sharing coefficients, controller parameters of the controllers and gains of the PLL are defined based on a weighted objective function that is calculated through on a particle swarm optimization.

Devices, systems, and methods for modifying an existing electrical circuit to enable a conventional mechanical switch to integrate with and operate smart devices, while also providing continuous power supply and cooperating with external operation of the smart devices (e.g., via a mobile device application, smart controller, etc.). The smart device thus is operable both via the physical switch and via a home automation system, without loss of power to the smart device computer and transmitter components caused by use of the wall switch. This may be done via a replacement switch or faceplate which effectively bypasses the physical switch to ensure continuous power to the smart device while also inferring and transmitting the toggle state of the switch by measuring an amount of current through the faceplate.

To control a power state of a power system properly according to a communication state. A system for controlling a power system includes a plurality of sensor devices configured to output measurement data; a first control apparatus configured to estimate a first power state of the power system by using the measurement data obtained by the plurality of sensor devices, calculate a first controlled variable according to the estimated first power state, and output the calculated first controlled variable; and at least a second control apparatus configured to execute a predetermined control operation according to either the first controlled variable calculated in the first control apparatus, or a second controlled apparatus calculated in the second control apparatus. When it is not able to obtain part of the measurement data, the first control apparatus estimates the first power state by using predetermined measurement data among the obtained measurement data.

Various embodiments of the present invention relate to an intelligent seat power system in which a plurality of seat nodes are embedded in respective aircraft seats. The seat nodes receive power and commands from a plurality of power supply units, each of which is connected to a cabin management system. The seat nodes are able to monitor and control functionality at the seat, and communicate their status back to the cabin management system.

A power management system comprises a plurality of HEMSs 10 and a CEMS 40. The CEMS 40 receives from each HEMS 10, power information including an amount of power consumed by a load connected to each HEMS 10. The CEMS 40 transmits, to each HEMS 10, reduction information including an amount of power that should be reduced in each consumer 70 in response to a power curtailment signal and the power information.

A method of configuring an installed energy harvesting device to comply with a local grid connection standard is provided. The method identifies a local grid connection standard for an energy harvesting device that has been installed in a physical installation. The method then configures the energy harvesting device to apply the identified grid connection standard. To identify the local gird connection standard, the method determines a physical location for the installation of the energy harvesting device. The method then identifies the local grid connection standard based on the determined physical location.

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.