46 results about "Electrical grid" patented technology

Embodiments of the present disclosure relate to a current detection device for an electrical grid. A detection device for a DC electrical grid comprises: - a first detection module configured to detect a line current flowing along an electrical line and to provide a first detection signal indicative of the line current; - a second detection module configured to detect the line current along the electrical line and to provide a second detection signal indicative of a rate of change of the magnitude of the line current over time; - a plurality of signal processing modules for processing the first detection signal and the second detection signal and for providing a detection signal indicative of a behavior of the line current.

To provide a power control unit 1 for a ship's propulsion system 100, comprising an internal combustion engine 4 and a shaft 2 having a shaft generator 5. [Solution] The power control unit 1 is configured to provide fuel commands to the internal combustion engine 4 based on the low-speed component of the shaft 2 speed error, i.e., the low-speed component of the deviation of the shaft speed from the speed setpoint. A generator power command is provided to the shaft generator 5 based on the high-speed component of the shaft 2 speed error and the state of the electrical grid of the electrical grid electrically connected to the shaft generator 5. An energy buffer 7 is used to store power from the shaft generator 5, release power to the shaft generator 5, and release power to the electrical grid 8. Thus, it becomes easier to achieve a more stable engine control system and avoid engine overload.

The application discloses an insulator state monitoring device for power transmission lines of power grids, and relates to the technical field of insulator monitoring.The device comprises a fixing assembly and a monitoring ring.The fixing assembly is erected on an iron frame workpiece, and the iron frame workpiece is connected with a plurality of insulators on one side.The monitoring ring is provided with two semicircular rings, and a visual monitoring module one is arranged on the surface of the side of the monitoring ring facing the insulators.The inner diameter surface of the semicircular ring is respectively provided with a visual monitoring module two and an infrared monitoring module.Air chambers one and two are sequentially arranged inside the semicircular ring from inside to outside.The air chamber one is provided with a plurality of through holes on the side facing the insulators at intervals, and a fixing rod is arranged in the through hole.The fixing rod is provided with a rotating plate, and a torsional spring is connected between the fixing rod and the rotating plate.The application improves the comprehensiveness of insulator state monitoring, and improves the surface cleaning quality and convenience of the insulator.

The present invention relates a method for controlling a power generating unit connected to an electrical grid, during a fault ride through event, wherein the fault ride through event causes a phase jump in the electrical grid, the method comprises the steps of: measuring a voltage signal of the power generation unit, calculating a phase angle, based on the measured voltage, in a phase look loop (PLL) block, comparing the phase angle with previous measured phase angle, and calculate a phase angle change, detecting if the phase angle change larger than a threshold and changing to an another state by a Fault Ride Through State machine (FRTSM) for which the power generation unit shall operate, after the threshold has been exceeded.

An electric power system includes a first electrical grid configured to supply power from a low-voltage battery of a vehicle to a first component, a second electrical grid configured to supply power from the low-voltage battery to a second component, and an electrical grid isolation system including at least one current interrupt device and a controller configured to operate the current interrupt device to selectively isolate at least one of the first electrical grid and the second electrical grid from the low-voltage battery.

The present disclosure relates in particular to a power regulation system comprising a grid-side converter (GSC) system and an application-side converter (ASC). The GSC system comprises a voltage-source converter (VSC) and a VSC control system including a grid-follower control system (GFL) and grid-former (GFM) control system. The VSC is configured to be coupled to an electrical grid. The ASC and the GSC system are coupled by a DC link. The GFL control system is configured to exchange a first power component, including a first active power component and a first reactive power component. The GFM control system is configured to exchange a second power component, including a second active power component and a second reactive power component.

An example operation includes one or more of receiving a request to discharge energy to an electrical grid, selecting an EV based on a state of charge (SOC) of a battery of the EV and an availability of the EV to discharge the energy, discharging electrical energy from the battery of the EV to an energy storage system at a geographic location, reserving the discharged electrical energy for the electrical grid within the energy storage system for a period of time, and transferring the discharged electrical energy to the electrical grid within the period of time.

An electrolyteless fuel cell system includes an anode; a cathode; an electrical grid between the anode and cathode; an anode side grid bias electrode; a cathode side grid bias electrode; and an electrical grid power supply, wherein the electrical grid is biased negative with respect to the anode through the anode side grid bias electrode and the electrical grid power supply, or wherein the electrical grid is biased positive with respect to the cathode through the cathode side grid bias electrode and the electrical grid power supply. In electrolyteless electrolyzer mode steam is introduced to the cathode, wherein the electrical grid is biased positive with respect to the cathode through the cathode side grid bias electrode and the electrical grid power supply.

Various embodiments include a method for controlling load flows between multiple energy systems via an electrical grid using a control apparatus common to the energy systems. Each of the energy systems can provide a power associated with a load flow at a grid node. The method may include: ascertaining first powers scheduled for the load flows using data from the energy systems, including information about a maximum power providable at the respective grid node by the respective energy system; determining an internal controlling power to the electrical grid and resolved with respect to the grid nodes on the basis of the ascertained scheduled first powers and grid boundary conditions provided for the electrical grid; taking account of the controlling power determined at the grid node by reducing or increasing the maximum powers providable at that grid node by the energy systems; ascertaining scheduled second powers on the basis of the reduced or increased maximum providable powers; and controlling the load flows according to the ascertained second powers.

A plurality of flow control nodes are spaced along a production conduit to control the flow of formation fluids into the conduit at various locations within the wellbore. Each flow control node defines a flow path for the formation fluids to enter the production conduit. A closure can be used to regulate the flow of formation fluids within the production conduit. A generator in each zone produces electrical power in response to a portion of the flow directed through the generator. An electrical grid interconnects the plurality of flow control nodes to collectively supply electrical power to the electrical grid. Each closure and other device components can operate using electrical power from the grid.

Methods and systems for real-time power outage visualization and risk prediction include a server that detects an operational status of sensor devices connected to an electrical grid and assigns each sensor device to a group based upon the operational status and a geographic location of the sensor device. The server determines a power outage event for at least one group based upon the operational status of sensor devices and identifies a geographic area experiencing the power outage event based upon the geographic locations of the sensor devices. The server generates a visual representation of the power outage event on a map, transmits a power outage alert notification to remote computing devices associated with the geographic area experiencing the power outage event, and transmits a power outage risk notification to remote computing devices associated with a geographic area adjacent to the geographic area experiencing the power outage event.

This provides improvements to DC voltage controllers in power transmission networks using SGFM. [Solution] A method is provided which is carried out by a DC voltage controller for an HVDC converter, comprising: generating a synchronous angular velocity and a synchronous phase angle based on a DC voltage error signal; determining an AC grid phase angle from a composite signal, the composite signal being based on a function of the AC grid signal and the synchronous angular velocity; and generating a phase angle requirement for the HVDC converter, the phase angle requirement being based on the AC grid phase angle and the synchronous phase angle.

This invention relates to the field of smart grid transmission line monitoring technology, and discloses a method and system for dynamic prediction of icing on transmission lines. It mainly addresses the problems of low prediction accuracy and poor generalization ability of existing pure data-driven prediction models in wind-ice coupling and complex micro-topographic environments, as well as in extreme weather conditions. The method includes: acquiring micro-meteorological, conductor tension, and DEM micro-topographic data of the transmission network; extracting wind-induced equivalent tension from conductor tension using a gaseous physical model to extract pure ice load characteristics unaffected by wind load; constructing a spatial topology map of the transmission network, integrating micro-topographic labels and other features, and inputting it into a spatiotemporal graph neural network; extracting spatiotemporal evolution features using a network model containing physical penalty terms in the thermodynamic equilibrium equation for water droplet freezing, and outputting a dynamic icing thickness distribution map; finally, calculating the unbalanced tension risk and generating a de-icing scheduling strategy.

An apparatus for monitoring installed utility infrastructure, such as electrical grid assets, includes one or more cameras, memory, and a processor. The camera (or each camera where multiple are used) is configured to capture images from one or more monitored areas in proximity to the utility infrastructure and / or its components. The memory stores image data for the captured images (at least temporarily). The processor is operable to retrieve the image data from memory, analyze the image data to determine whether an event related to an infrastructure component of the one or more utility infrastructure components is occurring or has occurred in the at least one monitored area, and when an event is detected, communicate an alert notification for the event. The apparatus may be self-powered through use of a solar cell or panel, a battery, or, more preferably, power inductively coupled from a power line proximate the monitored utility infrastructure.

A method for avoiding an unintended fall of a blade of a wind turbine when the blade or another blade of the wind turbine is arranged at a rotor hub of the wind turbine is provided. The wind turbine comprises the rotor hub, a rotating electrical machine mechanically coupled to the rotor hub, a machine-side converter electrically coupled to the rotating electrical machine and comprising several semiconductor switches, a DC-link electrically coupled to the machine-side converter, and a grid-side converter electrically coupled to the DC-link and to an electrical grid. The method comprises: generating a short circuit at the DC-link by activating all of the semiconductor switches at the same time.

A computer-implemented method is provided. A processor set selects a number of nodes. The processor set filters anomalous data from historical data for each node in the number of nodes to generate a refined historical data. The processor set trains a number of computational models using the refined historical data to generate a number of machine learning models for forecasting electrical rate deviation and fluctuation for the number of nodes. The processor set assigns a composite performance score to each machine learning model based on performance for each machine learning model. The processor set computes anomalous electrical rate fluctuation based on the anomalous data for each node using a stochastic model. The processor set generates a forecast comprising anomalous electrical rate fluctuation, and electrical rate fluctuation and deviation for the number of nodes for a period of time.

There is provided an electrical arrangement for a power transmission network, including first and second transformers of the star-delta type, each having respective primary and secondary winding sides. The primary winding side of each transformer includes three AC electrical connections. The secondary winding side of each transformer includes three AC electrical connections. The transformers are arranged such that AC electrical connections of the first transformer that are spatially adjacent AC electrical connections of the second transformer are connected together. Remaining AC electrical connections are connected so as to allow the first transformer and the second transformer to have the same phase relationship.

A method performed by a DC voltage controller for a HVDC converter, including generating a synchronous angular speed and synchronous phase angle based on a DC voltage error signal; determining an AC grid phase angle from a combination signal, wherein the combination signal is based on an AC grid signal and a function of the synchronous angular speed; generating, for the HVDC converter, a phase angle demand, wherein the phase angle demand is based on the AC grid phase angle and the synchronous phase angle.

The present disclosure is related to a system comprising a heating subsystem, a heat transfer and storage subsystem, a post¬ heating subsystem, and an electrical feeding subsystem, a fluid circulation subsystem and a cooling circulation subsystem. The system can be integrated into various industrial processes, and by optimizing energy utilization and reducing reliance on fossil fuels, the system contributes to a more sustainable and environmentally friendly future. Additionally, the system can be integrated with different renewable electricity generation systems such a photovoltaic, wind, hydroelectric, among others. The system can also be integrated with the electrical grid, providing valuable grid services such as load balancing, energy shifting, and frequency regulation.

A smart home generator is a device that provides clean, free energy in a controlled and programmed manner. It supplies electricity wherever needed, such as homes, campsites, and rural areas without access to the electrical grid. It also serves as a backup power source in emergency or disaster zones where electricity is essential when the grid is unavailable. This device incorporates smart home electronics and actuators to optimize energy resource management. Its solar panel makes it independent and autonomous, unlike gasoline or diesel generators, which require a constant fuel supply, incurring additional costs and contributing to environmental pollution.

The invention provides methods and systems for protecting electrical transformers or components from overloads when an electrical grid is turned back on following a power outage. It is possible to use power consumption data derived from electrical profiles collected from meters, along with outdoor temperatures associated with each electrical device. A regression analysis may be applied to the power consumption data and to the outdoor temperature data for each of the electrical devices. The regression parameters may be introduced into a trained machine learning model, with additional parameters characterizing the power outages and / or the electrical devices affected by the power outages, in order to predict the load behaviour of the electrical devices after the outage when power has been restored. At-risk electrical devices are able to be protected by postponing turning them back on when the power supply is restored.

An electrical response system allows both traditional and renewable power generating system primary frequency response (PFR), fast frequency response (FFR) and inertial response systems to coordinate their response operations with an energy storage system and optimally pre-size the energy storage system and its charge. The response system allows the energy storage system to be optimally pre-sized by coordinating a power generating system to respond (a) during an over-frequency event by reducing active power output, and (b) during an under-frequency event by the storage discharging active power, thereby providing a coordinated response. Under-frequency events cause power generating systems to pre-curtail their active power output to meet grid requirements, thereby the system and method allows a power generating system to generate active power output at full nameplate capacity while simultaneously meeting electrical grid regulations and requirements.

Systems and methods are provided involving executing an optimizer using output power information of a renewable energy generator (REG) and market information, and executing an energy management system to manage the utilization of power generated by the REG based on the optimization. The REG is associated with a hydrogen production plant (HPP) for producing hydrogen, and the HPP is powered at least by the REG. The management of the power generated by the REG includes generating an electricity market offer to an electrical grid and a hydrogen market offer to an hydrogen distribution system. The system then dispatches REG power to the electrical grid and hydrogen to the hydrogen distribution system based on the generated market offers. REG output power typically fluctuates over time, as do other potentially relevant factors, such as consumer electricity demand, electricity transmission capacity, electricity market prices, hydrogen market prices, etc. The system can provide optimized control over the REG and HPP as conditions change over time.

A method and a control device for controlling a renewable power plant (100) connected to an electrical grid (116). The method comprises: determining (210) a dynamic policy (DP) based on: - a current state (S cur ) of the renewable power plant (100), - a prediction (P pred ) of future electrical production of more than one renewable power generation unit (103) comprised in the renewable power plant, and - a risk (l) of instability at a point of connection (115) to the electrical grid (116); determining (220) one or more electrical-to-gas reference points (RP P2G ) based on: - available electrical power (P av ) provided by the more than one renewable power generation unit (103), and - the determined dynamic policy (DP); and providing (230) the determined one or more electrical-to-gas reference points (RP P2G ) to the at least one electrical-to-gas unit (120).​​​​​

The method, processing device, equipment, and system for identifying bird-related faults in power grids provided in this application acquire target data through multi-source sensors. The target data includes preprocessed temporal motion data, acoustic spectrum data, and spatial morphological data. Based on a machine learning model, the target data is weighted and fused to construct a three-dimensional feature matrix. The target three-dimensional feature matrix is ​​matched with a preset fault feature library to determine the fault type, thus achieving accurate identification of bird-related faults in power grids. Simultaneously, based on the fault type and a preset risk threshold, a graded expulsion command is generated. Based on the graded expulsion command, a combined expulsion operation is executed, achieving effective bird expulsion and improving the accuracy of bird-related fault identification and the efficiency of bird expulsion.

This utility model discloses a marine air lubrication system based on the reuse of waste heat from main engine flue gas. It includes: a waste heat-steam conversion unit that converts the waste heat from the main engine and waste gas turbine compressor into hot steam via a waste gas box, a waste gas boiler heat exchanger, and a waste gas boiler; a steam-mechanical energy-electric energy conversion unit that uses a steam turbine to drive a compressor to produce compressed air, with the remaining mechanical energy converted into electrical energy by a motor-generator to feed into the ship's electrical grid or into mechanical energy to drive the compressor; a compressed air supply unit that delivers compressed air to a bottom release device to form a drag-reducing air film; a steam waste heat cascade utilization unit that supplies low-pressure steam to ship heat users, which is condensed by a steam condenser; a condensate recovery unit that collects condensate and returns it to the waste gas boiler to complete the working fluid cycle; and an intelligent integrated control unit that uses a sensor network and control unit to achieve adaptive system operation. This utility model solves the problems of cost and energy consumption bottlenecks, system fragmentation, and energy waste.

This invention relates to a method and system for human body electrical grid management. The method includes: establishing a local thermal comfort model and a weight comfort model; based on the above models and specific scenarios, establishing a multi-objective optimization model and introducing a minimum protection logic for harsh scenarios and a battery derating logic for low temperatures; solving the multi-objective optimization model to determine the corresponding hardware configuration scheme; and employing a predictive energy management strategy for real-time energy management. This management strategy includes an offline strategy generation stage and an online real-time execution stage. Specifically, by solving a finite-time domain optimization problem offline, a control strategy mapping relationship based on the system state is pre-generated; and based on the collected real-time state data of the human body electrical grid management system and the control strategy mapping relationship, the optimal real-time power allocation command is obtained. This invention solves the computational bottleneck of complex control algorithms being unable to be solved in real time on embedded devices, and significantly improves the system's survivability and overall comfort in extremely variable outdoor scenarios.

An artificial intelligence system including a machine learning module for assisting in electrical grid maintenance. The machine learning module receiving data sets from UAVs travelling in the proximity of power lines and communicating sensed observations to a data library for training the module to spot markers of potential hazards and calculating a probability of hazards occurring under various conditions. The system communicating hazards of a type or above a predetermined level of probability to a communication center or utility company to remediate or schedule preventative maintenance.

The invention relates to a self-contained ultraviolet radiation monitoring device configured to record and query solar irradiance levels in the 280 to 360 nanometer range in real time. The system comprises an ultraviolet radiation sensor that generates voltage signals proportional to the radiation intensity, an embedded system module that acquires and transmits these signals every minute via Wi-Fi wireless communication using the MQTT protocol, and a self-contained solar charging system consisting of a solar panel, a charge controller, and a 12-volt AGM battery. The data is received by a single-board computer connected to the electrical grid, which acts as a local server. This server stores the information in a local database and allows its querying through a web application accessible from mobile or desktop devices connected to the same wireless network.The system operates only during the day and automatically shuts down at night. The invention requires no internet connection or subscriptions and allows direct access to the collected information.