845 results about "Electrical grid" patented technology

Systems and methods for providing energy management utilize wireless wide-area network broadcast signals and a decentralized receiver architecture to allow customers to make informed choices with regard to energy consumption and load shedding for particular appliances. A receiver assembly embedded within an appliance receives a broadcast signal, e.g., an FM subcarrier signal, including tariff data and other electrical grid data. A processor coupled with the receiver controls the appliance in accordance with the received data and in accordance with user-defined preferences. In some embodiments, a transceiver assembly is embedded in one or more appliances in a household. Each transceiver is configured to receive broadcast signals regarding grid data, and to communicate with other appliances and/or a usage meter over a wireless personal area network. Meter data from one or more households may be aggregated and uplinked back to the energy provider or other entities.

A smart grid gateway which includes a onboard computer programmed to provide load measurement and control of at least one local resource or asset. At least one metrology module is configured to provide metering of the at least one local resource or asset. At least one LAN module is configured to communicate with the at least one local resource or asset. At least one WAN module is configured to communicate with a network operations center.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices (e.g., batteries, supercapacitors or ultracapacitors). To charge, the machines employ electrical current from an external source, such as the electrical grid or an electrical service of an installation location. By default, each portable electrical energy storage device is disabled from accepting a charge unless it receives authentication information from an authorized collection, charging and distribution machine, other authorized charging device, or other authorized device that transmits the authentication credentials. Also, by default, each portable electrical energy storage device is disabled from releasing energy unless it receives authentication information from an external device to which it will provide power, such as a vehicle or other authorization device.

Methods of generating heat maps of assets using clustering of assets are disclosed. Some methods include receiving a list of assets, assigning the assets to one or more heat range categories based on the status of the assets, assigning assets operating within a zone to a zone cluster, assigning the assets of the zone cluster to category clusters based on the heat range categories assigned to the assets. The positions of the clusters may be calculated for mapping, and may be displayed on a map. Some embodiments of these methods allow a user to quickly detect and locate non-standard assets on a map while standard assets are consolidated to clusters that are less prominent to the user. This leads to minimizing the time required to form responses to de-load hotspots in an electrical grid, minimizing the cost of assets by reducing the need for hardware redundancy, and minimized equipment outages.

A computer-implemented platform server and method is provided for energy management operations in a Smart Grid environment. The platform server includes an application module configured to operate any of a plurality of Smart Grid Applications. A consumer-side module is configured for bi-directional communication with a plurality of consumer-side intelligent appliances. An Operations Technology (OT) module is configured for communication with an electrical grid Energy Management System (EMS). A translation module is coupled to, and configured to translate data received from, the application, consumer-side, and OT modules, so that the platform is configured to selectively receive, translate, and transmit data from and among any of said application, consumer-side, and OT modules, to facilitate automated energy management operations in a Smart Grid environment.

A system that couples distributed power generators together as a collective unit for the purposes of selling or purchasing energy from the electrical power grid. The apparatus includes a charge/discharge controller and an adaptive controller. The charge/discharge controller transfers energy generated by the plurality of distributed power generators to the power grid. The adaptive controller directs when the charge/discharge controller transfers energy generated by at least one of the plurality of distributed power generators to the electrical grid.

A system for monitoring parameters associated with a device, such as current, voltage, power, temperature, energy consumed, moisture, fluid levels and flow, wind speed, identification parameters, and repair history. The system includes the use of hybrid RFID sensor tags including a combination of active, semi-passive, and passive RFID circuits. Hybrid tags are attached to electrical system components. Standalone electrical components and generators and those connected to the electrical grid may be monitored. Data collected and stored in the hybrid tags may be accessed via a wireless communication link between hybrid tags and either active scanners or a passive interrogators. The data collected and processed from the hybrid tags may be provided to a user via the Internet or another wired or wireless communication network.

Embodiments of the present invention include control methods employed in multiphase distributed energy storage systems that are located behind utility meters typically located at, but not limited to, medium and large commercial and industrial locations. These distributed energy storage systems can operate semi-autonomously, and can be configured to develop energy control solutions for an electric load location based on various data inputs and communicate these energy control solutions to the distributed energy storage systems. In some embodiments, one or more distributed energy storage systems may be used to absorb and/or deliver power to the electric grid in an effort to provide assistance to or correct for power transmission and distribution problems found on the electric grid outside of an electric load location. In some cases, two or more distributed energy storage systems are used to form a controlled and coordinated response to the problems seen on the electric grid.

A collection, charging and distribution machine collects, charges and distributes portable electrical energy storage devices (e.g., batteries, super- or ultracapacitors). To charge, the machine employs electrical current from an external source, such as the electrical grid or an electrical service of an installation location. The machine determines a first number of devices to be rapidly charged, employing charge from a second number of devices identified to sacrifice charge. Thus, some devices may be concurrently charged via current from the electrical service and current from other devices, to achieve rapid charging of some subset of devices. The devices that sacrifice charge may later be charged. Such may ensure availability of devices for end users.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices (e.g., batteries, supercapacitors or ultracapacitors). To charge, the machines employ electrical current from an external source, such as the electrical grid or an electrical service of an installation location. As demand at individual collection, charging and distribution machines increases or decreases relative to other collection, charging and distribution machines, a distribution management system initiates redistribution of portable electrical energy storage devices from one collection, charging and distribution machine to another collection, charging and distribution machine in an expeditious manner. Also, redeemable incentives are offered to users to return or exchange their portable electrical energy storage devices at selected collection, charging and distribution machines within the network to effect the redistribution.

A windfarm system is provided that is optimized for minimizing electrical loss. The windfarm system includes a plurality of wind turbine generators and a collector system including a conductor or network of conductors. The collector system also including a plurality of transformers with one or more transformers connected between each wind turbine generator and the conductors, and a substation transformer connecting the windfarm collector system to the electrical grid. The windfarm system also includes a monitoring system for monitoring the windfarm system electrical output and thermal condition, and outputs of the individual wind turbine generators. A control function may include voltage and real and reactive power commands to the individual wind turbine generators. The control function incorporates an algorithm whose technical effect is minimizing electrical losses for the windfarm system.

A network of collection, charging and distribution machines collect, charge and distribute portable electrical energy storage devices (e.g., batteries, supercapacitors or ultracapacitors). To charge, the machines employ electrical current from an external source, such as the electrical grid or an electrical service of an installation location. The charging and distribution machines may distribute portable electrical energy storage devices of particular performance characteristics and other attributes based on customer preferences and/or customer profiles. The charging and distribution machines may provide instructions to or otherwise program portable electrical energy storage devices stored within the charging and distribution machines to perform at various levels according to user preferences and user profiles.

A machine learning system for ranking a collection of filtered propensity to failure metrics of like components within an electrical grid that includes a raw data assembly to provide raw data representative of the like components within the electrical grid; (b) a data processor, operatively coupled to the raw data assembly, to convert the raw data to more uniform data via one or more data processing techniques; (c) a database, operatively coupled to the data processor, to store the more uniform data; (d) a machine learning engine, operatively coupled to the database, to provide a collection of propensity to failure metrics for the like components; (e) an evaluation engine, operatively coupled to the machine learning engine, to detect and remove non-complying metrics from the collection of propensity to failure metrics and to provide the collection of filtered propensity to failure metrics; and (f) a decision support application, operatively coupled to the evaluation engine, configured to display a ranking of the collection of filtered propensity to failure metrics of like components within the electrical grid.

A system, method and computer program product to assist in managing the physical plant mechanisms and market finances for a deregulated electricity grid or regulated utility grid, populated with solar electric generation capacity. This system provides tools to assist grid operators in the scheduling and dispatch of generation resources in an electrical grid populated with solar electric generation capacity, a week in advance, on an hourly basis. It also provides tools to assist companies engaged in generation, distribution and energy marketing, in the electrical power industry, to manage their contractual supply obligations in the day-ahead hourly wholesale market and the spot market, in an electrical grid populated with solar electric generation capacity. This process can also be used to predict solar loading of building structures, using forecast irradiance data as inputs to common building energy modeling programs, a week in advance, on an hourly basis.

A wireless recharging system for battery or hybrid vehicles having an in-road magnetic power transmission assembly that interconnects to a magnetic power reception assembly onboard the vehicle. As the vehicle stops or passes over the in-road magnetic power transmission assembly, magnetic coupling transfers power to the magnetic power reception assembly which, in turn, is used to recharge the vehicle battery. The in-road magnetic power transmission assembly may be powered from the electrical grid or designated electrical generators and is preferably designed to build the powering magnetic field in response to the detection of an authorized vehicle in proximity to the transmission assembly.

A computer-implemented method for an energy generation site includes detecting an energy storage device and its storage capacity, detecting an electrical grid operatively coupled to the energy generation site, and receiving event data corresponding to an event affecting the electrical grid. The method further includes determining a probability that the electrical grid will experience a power outage based on the event data, and charging the storage device according to a first charging profile or a second charging profile based on the probability. A maximum charge set point of the storage device for the first charging profile is less than the maximum storage capacity of the storage device, and the maximum charge set point for the second charging profile is at the maximum storage capacity of the storage device. The event data can be weather data, geological data, social media, or local alert data.

A system, a method, and an article of manufacture for controlling operation of an electrical power generation system are provided. The electrical power generation system has a plurality of electrical generators electrically coupled to an electrical grid. The method includes obtaining a first output parameter value associated with the electrical power generation system. The method further includes determining an error value indicative of a difference between the first output parameter value and a desired output parameter value. The method further includes determining a first gain value based on at least one of the first output parameter value and a time-varying operational parameter of the electrical power generation system. The method further includes determining a first power value based on the error value and the first gain value. The method further includes determining a second gain value based on at least one of the first output parameter value, the time-varying operational parameter, and a reference value. The method further includes determining a second power value based on the error value and the second gain value. The method further includes generating a desired power command for the electrical power generation system based on the first and second power values.

An electrical power supply system connected to an electrical grid, includes at least one source of electrical power, an inverter which receives power from the electrical source and delivers power to a local load, and a connection to the electrical grid. The system also includes a control unit for controlling the inverter, which interrupts the delivery of power by the inverter when at least one electrical parameter of the system exceeds a threshold value. The system also includes anti-islanding logic which detects at least one symptom of an islanding condition of the system and, when the symptom is detected, to cause a variation in the power level delivered by the inverter.

A system is provided that allows the aggregation of a plurality of inputs from an electrical grid and the display of the plurality of inputs on a single integrated display for a network operator. The system accepts signals from electrical loads and generation devices and analyzes the inputs to determine potential issues or trends, including fault predictions and recommends contingency plans. The system presents these potential issues and possible corrective actions to the network operator. The network operator may initiate actions, such as dispatching loads or activating generation capacity for example, in response.

A method and system of power factor optimization and total harmonic distortion are provided under the premise of efficient power management and distribution on an electrical grid. The method and system include a novel optimization technique based on a novel current profiling methodology enabling real-time power management with power factor correction as a function of the optimization. The optimization can be performed under dynamic current constraints. When deployed on an electrical grid, the method and system can provide a new technique for power management targeting an efficiency of the electrical grid. The method and system can thus provide for reduced costs of energy production and reduced carbon emissions into the atmosphere.

A power generation system and a method for storing electrical energy are provided. The method includes generating a first AC voltage from a wind turbine generator and converting the first AC voltage to a first DC voltage, utilizing a rectifier. The method further includes routing the first DC voltage through a DC voltage bus to an inverter of the power converter, and converting the first DC voltage to a second AC voltage utilizing the inverter and outputting the second AC voltage to an electrical grid in response to a first control signal from a power converter controller. The method further includes receiving the first DC voltage from the DC voltage bus at a DC-DC converter operably coupled to the DC voltage bus, and storing electrical energy from the first DC voltage in a battery storage unit utilizing the DC-DC converter in response to a second control signal.