10888results about "Power network operation systems integration" patented technology

Power is supplied to an information handling system chipset with a single voltage regulator having dual phases. A first phase of the voltage regulator provides power to a low power state power rail in an independent mode to support a low power state, such as a suspend or hibernate state. A second phase of the voltage regulator provides power to a run power state power rail in combination with the first phase by activation of a switch, such as a MOSFET load switch, that connects the low power state power rail and the run power state power rail. Voltage sensed from both power rails is applied to control voltage output so that the run power state power rail is maintained within more precise constraints than the low power state power rail.

The invention generally concerns systems and methods for monitoring and controlling the power consumption of a power-consuming device. The system and method may connect to a power source and a power-consuming device, connecting the power-consuming device to the power source. The power usage of the power-consuming device may then be measured and monitored. This monitoring data may then be stored and optionally sent to a controlling device on a data network. The location of the power-consuming device may also be determined, recorded, and sent to a controlling device. The system may also control the power usage of the power-consuming device. In some cases, a remote server may connect multiple energy monitoring systems in order to gain additional efficiencies and foster a community-based social network.

Methods and systems are provided for optimizing the control of energy supply and demand. An energy control unit includes one or more algorithms for scheduling the control of energy consumption devices on the basis of variables relating to forecast energy supply and demand. Devices for which energy consumption can be scheduled or deferred are activated during periods of cheapest energy usage. Battery storage and alternative energy sources (e.g., photovoltaic cells) are activated to sell energy to the power grid during periods that are determined to correspond to favorable cost conditions.

An energy distribution may include a server and one or more databases. The system may communicate with an energy provider to receive energy provider data, at least one information collector to receive information collector data such as individualized energy usage data, customer preferences, and customer or location characteristics, and the one or more databases for receiving data for optimization. The system may calculate a cost of service or avoided cost using at least one of the individualized energy usage data and a system generation cost at a nearest bus. The system may also forecast individualized demand by end-use, individualized demand by location, energy prices, or energy costs. The system may optimize energy distribution, energy use, cost of service, or avoided cost using the forecasted individualized demand by end-use, the forecasted individualized demand by location, the forecasted energy prices, and the forecasted energy costs.

An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

A system and method manage delivery of energy from a distribution network to one or more sites. Each site has at least one device coupled to the distribution network. The at least one device controllably consumes energy. The system includes a node and a control system. The node is coupled to the at least one device for sensing and controlling energy delivered to the device. A control system is coupled to the node and distribution network for delivery to the node at least one characteristic of the distribution network. The node controls the supply of energy to the device as a function of the at least one characteristic.

The use of one or more proximity sensors in combination with one or more touch sensors in a multi-touch panel to detect the presence of a finger, body part or other object and control or trigger one or more functions in accordance with an “image” of touch provided by the sensor outputs is disclosed. In some embodiments, one or more infrared (IR) proximity sensors can be driven with a specific stimulation frequency and emit IR light from one or more areas, which can in some embodiments correspond to one or more multi-touch sensor “pixel” locations. The reflected IR signal, if any, can be demodulated using synchronous demodulation. In some embodiments, both physical interfaces (touch and proximity sensors) can be connected to analog channels in the same electrical core.

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.

Methods and systems are provided for optimizing the control of energy supply and demand. An energy control unit includes one or more algorithms for scheduling the control of energy consumption devices on the basis of variables relating to forecast energy supply and demand. Devices for which energy consumption can be scheduled or deferred are activated during periods of cheapest energy usage. Battery storage and alternative energy sources (e.g., photovoltaic cells) are activated to sell energy to the power grid during periods that are determined to correspond to favorable cost conditions.

Systems and methods for energy optimization may receive receiving energy provider data, near-real time individualized energy usage data for each of a plurality of end-uses or near-real time individualized whole premise energy usage data, customer preferences, and near-real time and forecasted weather information. The systems and methods may forecast, for a selected time period, individualized energy usage for each of the plurality of end-uses or individualized whole premise energy usage data for a customer location using: (1) the energy provider data, (2) the near-real time individualized energy usage data, (3) the customer preferences, and (4) the near-real time and forecasted weather information. The systems and methods may optimize, for the selected time period, energy usage at the customer location using (1) the individualized energy usage, (2) the energy provider data, and (3) the customer preferences.

A wireless base unit communicates with one or more wireless load manager units to receive power measurements for one or more loads connected to the wireless load manager. In response to dynamic variables, such as the changing price of electricity, the wireless base unit transmits commands to the wireless load manager to shut off or reduce power consumed by the one or more loads. In one variation, a wireless adapter also receives commands from the wireless base unit and converts the commands into a vendor-specific format used to control other devices such as a photovoltaic (PV) inverter.

Systems, methods, and apparatus embodiments for electric power grid and network registration and management of active grid elements. Grid elements are transformed into active grid elements following initial registration of each grid element with the system, preferably through network-based communication between the grid elements and a coordinator, either in coordination with or outside of an IP-based communications network router. A multiplicity of active grid elements function in the grid for supply capacity, supply and / or load curtailment as supply or capacity. Also preferably, messaging is managed through a network by a Coordinator using IP messaging for communication with the grid elements, with the energy management system (EMS), and with the utilities, market participants, and / or grid operators.

A system and method for combining power from DC power sources. Each power source is coupled to a converter. Each converter converts input power to output power by monitoring and maintaining the input power at a maximum power point. Substantially all input power is converted to the output power, and the controlling is performed by allowing output voltage of the converter to vary. The converters are coupled in series. An inverter is connected in parallel with the series connection of the converters and inverts a DC input to the inverter from the converters into an AC output. The inverter maintains the voltage at the inverter input at a desirable voltage by varying the amount of the series current drawn from the converters. The series current and the output power of the converters, determine the output voltage at each converter.

Methods and systems are disclosed for controlling energy consumption at a facility, or a group of facilities, using current and future energy prices, and seasonal and environmental information to control a load shedding scheme.

In embodiments of the present invention improved capabilities are described for providing intelligent power control in response to an external power interruption, causing a processor is in an electrical fixture to interrogate an external power control switch to gain an understanding of the switch's state, where prior to the external power interruption the electrical fixture may be powered by external power and where external power may be connected and disconnected by a user of the switch. In the event that the switch's state is determined to be such that it would normally pass power to the electrical fixture, the processor causes the electrical fixture to operate using a backup power supply. In the event that the switch's state is determined to be such that it would normally not pass power to the electrical fixture, the processor causes the electrical fixture to act as if the user of the switch has intentionally removed power. In response to a return of external power, powering the electrical fixture is then through external power where the user of the switch switches external power.

An expert system manages a power grid wherein charging stations are connected to the power grid, with electric vehicles connected to the charging stations, whereby the expert system selectively backfills power from connected electric vehicles to the power grid through a grid tie inverter (if present) within the charging stations. In more traditional usage, the expert system allows for electric vehicle charging, coupled with user preferences as to charge time, charge cost, and charging station capabilities, without exceeding the power grid capacity at any point. A robust yet accurate state of charge (SOC) calculation method is also presented, whereby initially an open circuit voltage (OCV) based on sampled battery voltages and currents is calculated, and then the SOC is obtained based on a mapping between a previously measured reference OCV (ROCV) and SOC. The OCV-SOC calculation method accommodates likely any battery type with any current profile.

A method for controlling energy consumption within a building includes providing at least one environment sensing device and at least one energy consumption sensing device associated with the building. Current data is collected from the environment sensing device and the energy consumption sensing device along with associated time-of-day data. A value of a future energy consumption parameter is predicted based upon the collected current data, the associated time-of-day data, and historic data collected from the environment sensing device and the energy consumption sensing device. A profile of future costs per unit of energy consumption as a function of time is determined. Energy consumption is controlled dependent upon the predicted future energy consumption parameter value and the determined profile of energy consumption costs.

Methods and systems are provided for controlling the charging of onboard energy storage systems of a plurality of plug-in vehicles using a remote command center. A system for directing the charging of a plurality of remotely located plug-in vehicles is provided. The system includes a communication system configured to transmit charging authorizations to charge each of the plurality of plug-in vehicles and to receive data related to power consumption from each of the plurality of plug-in vehicles. The system also includes a controller communicatively coupled to the communication system and configured to receive the data related to power consumption and to direct the charge authorizations based thereon. A database is also included in the system and is communicatively coupled to the controller, with the database configured to store the data related to power consumption.

A control unit is attached to or embedded within a refrigeration appliance to monitor electric power voltage and / or frequency supplied by the mains. If the unit detects a sag or peak in either the voltage or frequency, the control unit either separates any high demand elements of the appliance from the mains to reduce demand in a sag or energizes the elements in a peak. When the control system separates the refrigeration compressor from the mains, a food spoilage monitoring system monitors the food storage compartments. This system utilizes food industry temperature and time algorithms to ensure the food does not spoil. If food spoilage could occur, the unit re-energizes the compressor to allow it to lower the temperature provided the power is sufficient to operate the compressor unit without damaging it. Once the sensed temperature is restored to a safe level, the unit separates the compressor from the mains.

Thermostatic HVAC and other energy management controls that are connected to a computer network. For instance, remotely managed load switches incorporating thermostatic controllers inform an energy management system, to provide enhanced efficiency, and to verify demand response with plug-in air conditioners and heaters. At least one load control device at a first location comprises a temperature sensor and a microprocessor. The load control device is configured to connect or disconnect electrical power to the an attached air conditioner or heater, and the microprocessor is configured to communicate over a network. In addition, the load control device is physically separate from an air conditioner or heater but located inside the space conditioned by the air conditioner or heater.

Systems and methods for managing power supplied over an electric power grid by an electric utility and / or other market participants to multiplicity of grid elements and devices for supply and / or load curtailment as supply, each of which having a Power Supply Value (PSV) associated with its energy consumption and / or reduction in consumption and / or supply, and wherein messaging is managed through a network by a Coordinator using IP messaging for communication with the grid elements and devices, with the energy management system (EMS), and with the utilities, market participants, and / or grid operators.

A method of monitoring energy consumption includes steps of establishing an energy budget for a future time period, receiving device information for a plurality of electrical devices and associating the device information with the energy budget, periodically measuring electrical usage from the plurality of electrical devices, projecting future energy consumption for the future time period based on the measured electrical usage, comparing the projected future energy consumption to the energy budget, and if the projected future energy consumption deviates from the energy budget, automatically generating an alert. The projected future energy consumption can take into account various factors such as energy available from non-grid sources; weather forecasts; battery storage; and historical data. A system employing the method can automatically control devices to bring predicted consumption within the budget.

Electrical appliance energy consumption control methods and electrical energy consumption systems are described. In one aspect, an electrical appliance energy consumption control method includes providing an electrical appliance coupled with a power distribution system, receiving electrical energy within the appliance from the power distribution system, consuming the received electrical energy using a plurality of loads of the appliance, monitoring electrical energy of the power distribution system, and adjusting an amount of consumption of the received electrical energy via one of the loads of the appliance from an initial level of consumption to an other level of consumption different than the initial level of consumption responsive to the monitoring.

A system uses an intelligent load controller for managing use of a consumable resource at an associated load. The controller has a resource measuring component for measuring the rate of use of the resource by the associated load, including measuring at least one of an instantaneous usage rate and a usage rate over an integration period and a load status component for receiving load status data for the associated load. The controller also has a communication component for receiving control messages from and sending load status messages to other associated controllers; a memory for storing a load control goal set; and a load control computer program responsive to the resource measuring component, the load status component, the control messages from other associated controllers and the load control goal set, to determine a load operating level for, and provide control commands to, the associated load.

An intelligent network demand control system provides a system and method for controlling demand in an energy delivery system. Various embodiments of the intelligent network demand control system employs a transceiver network with a plurality transceivers coupled to meters and appliances residing at a plurality of customer premises. Control room operators instruct a customer premises (CP) energy management controller to implement a reduction in system demand. A demand reduction control signal is relayed out to a predefined group of transceivers to bring their respective controlled generators on line. The predefined transceivers, identified by their identification codes, are specified in the demand reduction control signal. The actual demand reduction is metered and relayed back to the CP energy management controller. In some embodiments, the total demand reduction is aggregated into a single number and then communicated to the operators.

The invention generally concerns systems and methods for monitoring and controlling the power consumption of a power-consuming device. The system and method may connect to a power source and a power-consuming device, connecting the power-consuming device to the power source. The power usage of the power-consuming device may then be measured and monitored. This monitoring data may then be stored and optionally sent to a controlling device on a data network. The location of the power-consuming device may also be determined, recorded, and sent to a controlling device. The system may also control the power usage of the power-consuming device. In some cases, a remote server may connect multiple energy monitoring systems in order to gain additional efficiencies and foster a community-based social network.

A system for network-controlled charging of electric vehicles comprises charge transfer devices networked as follows: charge transfer devices and electric vehicle operators communicate via wireless communication links; charge transfer devices are connected by a local area network to a data control unit, which is connected to a server via a wide area network. The server stores consumer profiles and utility company power grid load data. A charge transfer devices comprises: an electrical receptacle for receiving an electrical connector for recharging an electric vehicle; an electric power line connecting the receptacle to a local power grid; a control device on the electric power line, for switching the receptacle on and off; a current measuring device on the electric power line, for measuring current flowing through the receptacle; a controller for operating the control device and monitoring the output from the current measuring device; a local area network transceiver connected to the controller, for connecting the controller to the data control unit; and a communication device connected to the controller, for wireless communication between the operator of the electric vehicle and the controller.

A software platform in communication with networked distributed energy resource energy storage apparatus, configured to deliver various specific applications related to offset demand monitoring, methods of virtual power plant and orchestration, load shaping services, methods of reducing demand at aggregated level, prioritizing computer programs related to virtual energy pool, energy cloud controllers methods, charge discharge orchestration plans of electric vehicles, distributed energy resources, machine learning predictive algorithms, value optimizing algorithms, autonomous sensing event awareness, mode selection methods, capacity reservation monitoring, virtual power plant methods, advanced DER-ES apparatus features, energy management system for governing resources and methods, aggregated energy cloud methods, load shaping methods, marginal cost cycle-life degradation, load shaping API, forward event schedule, on demand request, and load service state request methods. Various rules, constraints of predictive algorithms for signal inputs to determine incremental storage cycles, cycle life degradation marginal cost, iterative and forward event schedule development, and load control.