The invention relates to a method for operating a renewable power plant (100) comprising at least one wind turbine (101) and an electrolyzer system (110), the renewable power plant is connectable with a grid (190) via a circuit breaker (123) located at a point of common coupling (PCC), wherein the renewable power plant comprises an internal grid (191) connecting the at least one wind turbine and the electrolyzer system with the point of common coupling, wherein the method comprises detecting a low voltage at any of the at least one wind turbine, and electrically disconnecting the electrolyzer system from the internal grid in response to detecting the low voltage.

Electrical loads from an electrically powered unit plugged into a receptacle of a power distribution unit (PDU) can be detected, using a computer communicating with the PDU. The electrical load is analyzed by comparing an electrical cycle waveform of the electrical load to electrical cycle waveforms of problem waveforms accessible by the computer. When the electrical cycle waveform of the electrical load matches an electrical cycle waveform of one of the problem waveforms. In response to the electrical cycle waveform of the electrical load matching the electrical cycle waveform of one of the problem waveforms, the computer initiates an action to disable electrical power to the receptacle of the PDU.

A processing system including at least one processor deployed in a communication network may obtain an alternating current electrical power signal via an electrical power distribution line, where the alternating current electrical power signal is modulated to include electrical power source information for a source of electrical power. The processing system may next extract the electrical power source information from the alternating current electrical power signal. The processing system may then provide the electrical power source information to at least one element of the communication network to perform at least one control action in the communication network in response to the electrical power source information.

The teachings herein include methods for operating a low- or medium-voltage power supply network including lines and a plurality of systems connected thereto. The method may include: providing GIS data with geographic location information relating to the power supply network; producing a branch model of the lines on the basis of the GIS data, including determining a starting probability for connections; providing system data characterizing at least one system; producing a prior model of the network by combining the branch model with the system data, including determining a starting probability for the system; generating an input state describing a possible state of the power supply network described by the prior model; carrying out a load flow simulation calculating a state variable on the basis of the input state; determining a state model of the power supply network on the basis of the state variable; and operating the power supply network based on the state model.

Systems, computer program products, and methods are described herein for automatically and dynamically redistributing energy between data sources and power sources. The present disclosure is configured to identify a component associated with an energy consumption; receive, from at least one sensor associated with the component, real time energy consumption data of the component; determine, by a dynamic forecast module connected to the at least one sensor, a predicted energy consumption; generate an energy distribution network comprising at least one structurally flexible component and the component; apply at least one external factor to the at least one structurally flexible component based on the predicted energy consumption; and dynamically configure, based on the at least one external factor applied to the at least one structurally flexible component, at least one connection within the energy distribution network.

An example operation includes at least one of receiving, from at least one sensor at a location, data related to energy usage at the location, determining an energy-negative state exists at the location at a first period of time based on the data indicating energy usage at the location is greater than a threshold of energy provided from at least one energy storage device at the location, and recharging the at least one energy storage device at a second period of time commensurate with the energy usage at the location.

Apparatuses, systems and methods are described for optimizing power production from power generating devices by dynamically grouping the power generators. The power generating devices may be dynamically grouped into power sources according to a Maximum Power Point of the power generators, and the power output of the grouped generators may be controlled by alternatively connecting the output of the power sources. The output power may also be optimized by dynamically grouping the power generators, so that a maximum power may be generated.

A voltage controller device, a method for determining the optimized operating point and a voltage control system for branched electrical energy distribution networks including voltage meters installed at the points where it is of interest to control the voltage, internally having communication in the LPWA standard. An LPWA modem collects this information and passes it on to the Branched Network Voltage Controller, which internally has the specialist algorithm for the calculation of the Tap that must be selected in the Voltage Regulator so that the voltages at all points of interest are as much as possible within the specified limits. For this, it sends a command to the Voltage Regulator controller in the form of a voltage at the input of the TP, being compatible with the legacy in the field, or in the form of a command in an application protocol for compatible Voltage Regulator controllers.

Methods for switching the power source supplying an alternating current (AC) electrical load from a first AC power supply to a second AC power supply comprising: (a) determining, during a time period, the zero voltage crossings of at the first and second AC power supplies; (b) estimating for a future time period, based on information obtained in said determining step (a), the times at which a series of future current zero-crossings of said AC load and at least the current zero-crossing of the second power supply; (c) based on said estimating step (b), determining whether during said future time period the time of said zero-crossing of said load current and the zero-crossing of the second power supply are within about 0.1 microseconds of each other; and (d) for a time period during which said zero crossings are estimated to be within 0.1 microseconds of each other, switching said load to said second power supply at said time at which said zero crossings are estimated to be within 0.1 microseconds of each other, wherein said switching: (i) uses a solid-state switching system and microprocessor-based control system for actuating said solid-state switching circuit; and (ii) accounts for any known actuation delay between the actuation signal from said microprocessor and the occurrence of said switching.

The solution provides a system remote from edge devices at sites of an electricity grid. The system can have a processor to trigger, based on a characteristic of electricity related to the electricity distribution grid, a control function. The processor can ping, using a natural language-based protocol compatible with a generative machine learning model, edge devices for data on electricity consumption at the grid and receive, from the edge devices, information having data structures generated via the generative machine learning model executed by the edge devices. The processor can generate, based on the information and a grid layout, responsive to the trigger of the control function, guidance to impact the electricity characteristic at one or more sites. The system can transmit, to the edge devices, the guidance to adjust the electricity characteristic.