US20150142193A1 - Utility console for controlling energy resources - Google Patents
Utility console for controlling energy resources Download PDFInfo
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- US20150142193A1 US20150142193A1 US14/508,119 US201414508119A US2015142193A1 US 20150142193 A1 US20150142193 A1 US 20150142193A1 US 201414508119 A US201414508119 A US 201414508119A US 2015142193 A1 US2015142193 A1 US 2015142193A1
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- energy management
- management controllers
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05F—SYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
- G05F1/00—Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
- G05F1/66—Regulating electric power
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/26—Pc applications
- G05B2219/2642—Domotique, domestic, home control, automation, smart house
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
Definitions
- the present invention relates generally to energy management, and more particularly to a system and method for controlling energy resources, such as distributed energy storage units optionally coupled to renewable energy sources such as solar panels.
- Demand side management refers to the selective reduction of energy demand in response to peak loading conditions.
- utilities have for years installed devices in the homes of participating consumers that, under utility control, selectively disable energy-consuming devices (e.g., hot water heaters or air conditioning units) in response to peak loading conditions.
- energy-consuming devices e.g., hot water heaters or air conditioning units
- utilities are able in certain cases to remotely activate energy supplies to increase the supply of electricity to parts of the electricity grid.
- the invention is directed to a system and method wherein measurements are received from a plurality of geographically distributed energy management controllers.
- Each energy management controller has energy storage units with stored energy.
- the measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units.
- the measurements are processed and displayed. Such processing may include, e.g., aggregation.
- Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter.
- Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.
- the invention is directed to a system and method. Measurements are received from a plurality of geographically distributed energy management controllers. At least one of the energy management controllers is coupled to at least one load management device capable of curtailing load to at least one power consuming device. The measurements comprise actual electrical load reflecting consumption attributable to at least one power consuming device. The measurements are processed by, e.g., aggregating the measurements. Commands are transmitted to the energy management controller to cause the controller use the load management controller to curtail the load of the at least one power consuming device.
- the invention is directed to a system and method. Measurements are received from an energy management controller at a consumer location. The measurements comprise actual electrical load reflecting consumption attributable to the at least one power consuming device. Additional information is received from a consumer at the consumer location reflecting changes in energy uses. Measurements are fed as inputs into rules, and based upon the results of processing those rules, energy consumption/production needs are recalculated and actions are suggested or automatically taken to reduce/increase load, increase/decrease energy storage, or activate/deactivate power generation at the consumer site.
- FIG. 1 illustrates an embodiment of a physical system and network which is capable of supporting at least one embodiment of the disclosed system and method.
- FIG. 2 illustrates another embodiment of a power control system which may be implemented at a consumer site such as a residential house or a business in a location geographically dispersed from a utility generation plant.
- FIG. 3 illustrates another embodiment of how a home-based power control appliance can be connected to utility operations center.
- FIG. 4 is a conceptual diagram of a utility control center server which implements a utility control console.
- FIG. 5 (including FIG. 5 MAP and FIGS. 5A-5C ) illustrates one embodiment of a demand response dashboard, which enables a utility to control and access power that is stored, generated, and managed through appliances.
- FIG. 6 (including FIG. 6 MAP and FIGS. 6A-6C ) illustrates one embodiment of a confirmation page displayed when an event is created.
- FIG. 7 shows one embodiment for a web-based user interface that permits individual customers to monitor electrical consumption, savings, and associated environmental impact.
- These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, ASIC, or other programmable data processing apparatus, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implements the functions/acts specified in the block diagrams or operational block or blocks.
- the functions/acts noted in the blocks can occur out of the order noted in the operational illustrations.
- two blocks shown in succession can in fact be executed substantially concurrently or the blocks can sometimes be executed in the reverse order, depending upon the functionality/acts involved.
- server should be understood to refer to hardware and/or software which provides processing, database, and communication facilities.
- server can refer to a single, physical processor with associated communications and data storage and database facilities, or it can refer to a networked or clustered complex of processors and associated network and storage devices, as well as operating software and one or more database systems and applications software which support the services provided by the server.
- the term “utility” should be understood to refer to an entity that provides or manages the supply of electrical power to one or more energy consumers.
- the term as used in this disclosure encompasses, without limitation, regional utility companies, regional transmission organizations, and any other load servicing entities or entities which manage the power grid within a geographical area.
- Energy consumers may be any entity that use electrical power for any purpose such as, without limitation, individual home owners, commercial office buildings, or manufacturing operations.
- the term “energy management controller” should be understood to refer to any device which measures and controls the operation of power generating, power consuming, or power storage devices, or which measures and controls power supplied to one or more electrical circuits.
- Power generating devices may include, without limitation, renewable energy sources such as solar panels, or may include conventional generators powered by fossil fuels.
- Power consuming devices may include, without limitation, household appliances such as refrigerators and stoves, climate control systems such as heating and air conditioning, and commercial or manufacturing devices, such as an automated assembly line.
- Power storage devices may include, without limitation, battery systems and capacitors.
- Energy management controllers may be capable of being connected to one or more networks, such as the Internet, a private WAN, or a cellular communication network. Such network connected controllers may be capable of transmitting measurements made by the controllers to remote locations. Network connected controllers may be further capable of receiving commands from remote locations which control or modify the operation of the controllers
- the term “power control appliance” should be understood to refer to an energy management controller which is capable of managing substantially all electrical power generation, consumption, and storage by power generating, power consuming, and power storage devices within an area of control.
- the power control appliance may a be a processor with associated communications, data storage and database facilities, one or more display device which may support a graphical user interface, as well as operating software and one or more database systems and applications software which support the services provided by the appliance.
- An area of a control of a power appliance may be, without limitation a single home or factory, a group of homes or factories, or a commercial building.
- utility console and “utility control console” should be understood to refer to one or more servers and associated applications software which implements a graphical user interface that allows a utility to manage power consumption, generation, and storage within one or more areas of control.
- the utility console may provide for software and hardware interfaces that allow the utility console to communicate with and control one or more energy management controllers within the utility's areas of control.
- a computer readable medium stores computer data in machine readable form.
- a computer readable medium can comprise computer storage media and communication media.
- Computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data.
- Computer storage media includes, but is not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
- a module is a software, hardware, or firmware (or combinations thereof) system, process or functionality, or component thereof, that performs or facilitates the processes, features, and/or functions described herein (with or without human interaction or augmentation).
- a module can include sub-modules.
- the disclosed system and method is directed to a utility console that enables a utility to monitor and aggregate potential electrical energy stored in a plurality of geographically dispersed devices, such as batteries and capacitors. Commands from the utility console may be transmitted to the plurality of geographically dispersed energy management controllers, causing them to transmit power through inverters to a power grid, creating a “virtual power plant.”
- the utility console may also monitor actual demand through circuits at geographically dispersed locations, aggregate the demand, and issue commands to curtail loads to reduce the aggregated demand.
- FIG. 1 illustrates an embodiment of a physical system and network which is capable of supporting at least one embodiment of the disclosed system and method.
- a utility has an operations control center 100 .
- one or more servers 110 host applications software which implement various applications including a utility console. Such applications software may additionally implement other applications systems, such as billing and CRM systems, and other operational support systems.
- the servers 110 have at least one display device 120 that is capable of supporting a graphical user interface.
- the servers 110 are additionally connected to one or more storage devices 170 which may provide for storage of one or more actively used databases or which may provide backup or archiving of data collected by the servers.
- the servers are connected to the local network 130 of the operations control center.
- the local network 130 is connected to the Internet 400 though conventional routers and/or firewalls 150 .
- the local network 130 may also be connected to a common carrier wireless network 500 such as a CDMA network.
- the local network 130 is also connected to a wide area network 200 which is connected to one or more power generation points 300 .
- the power generation point 300 is connected to the operations control center 100 through the wide area network and is connected to consumers 600 though power transmission lines 310 .
- the power transmission lines 310 additionally support transmission of data between the power generation point 300 and power consumers 600 .
- the servers 110 may receive data from or transmit data or commands to distributed energy management controllers 610 using the Internet 400 , the wireless network 500 , or the WAN 200 .
- Power consumers 600 under the management of the utility control center 100 have one or more power control appliances 610 . Power is transmitted to the consumer 600 over transmission lines 310 which form part of the local power grid. Power the consumer draws from the grid may be supplied, in part, by one or more power generation points 300 , or may originate in remote locations (not shown). Power enters the consumer premises at a meter 620 and is routed to the power control appliance 610 , which may comprise an onboard computer, energy storage, and an inverter/charger.
- the power control appliance 610 may be configured to control one or more electrical circuits which supply power to one or more power consuming devices 640 , such as household appliances.
- the system uses a number of load controllers with integrated measurement and/or a communicating thermostat (not shown).
- Load controllers with integrated measurement can be installed by placing them inline with the circuit to be measured and controlled, and are usually installed near the main load panel (though there is no requirement to do so). Any number of load controllers with integrated measurement may be installed at a site.
- the communicating thermostat can be a replacement for an existing thermostat and can work with nearly any HVAC system. HVAC curtailment can be achieved either by interrupting power to the compressor or by communicating with the thermostat to adjust the temperature setpoint or to turn the HVAC system off.
- the power control appliance may additionally have control connections (not shown) to the power consuming devices 640 which allow the power control appliance 610 to control the operation of the devices.
- the power control appliance 610 may be further connected to one or more power generation devices 630 , such as solar panels, which are capable of generating power. Power generated by the power generation devices 630 may is routed to the power control appliance 610 for use by the consumer. Under the control of the power control appliance 610 power generated by the power generation devices 630 may also be routed, in-whole, or in-part, to the power grid 310 .
- power generation devices 630 such as solar panels, which are capable of generating power. Power generated by the power generation devices 630 may is routed to the power control appliance 610 for use by the consumer. Under the control of the power control appliance 610 power generated by the power generation devices 630 may also be routed, in-whole, or in-part, to the power grid 310 .
- the power control appliance 610 may be controlled, at least in part by the consumer, using a graphical user interface displayed on a display device 612 .
- the power control appliance 610 may be further controlled remotely by the utility control center 100 .
- the servers 110 at the utility control center 100 may receive and transmit data and commands to the power appliance using the Internet 400 , the wireless network 500 , or the WAN 200 (via power lines 310 from the power generation point.)
- the system and network illustrated in FIG. 1 is not limited to the control of power consumption, generation, and storage exclusively at consumer sites 600 .
- the system may manage any resource under the control of an energy management controller connected to the utility control center through a network connection.
- an energy management controller connected to the utility control center through a network connection.
- there may be grid-connected energy storage units, such as capacitor banks, which are owned and operated by the utility expressly for grid management purposes.
- the system may measure and control such resources, for example, using facilities provided by a utility console provided by software implemented on the servers 110 .
- FIG. 2 illustrates another embodiment of a power control system which may be implemented at a consumer site 600 such as a residential house or a business in a location geographically dispersed from a utility generation plant.
- An energy management controller unit 610 implements supply and demand side management functions.
- the unit 610 is optionally coupled to one or more renewable energy sources 630 such as solar panels, and which may include one or more batteries (not shown) to store electricity.
- One or more load measurement and control circuits 640 are electrically coupled to managed circuits which may include, for example an HVAC system, a hot water heater, pool pump, and other circuits.
- the load measurement and control circuits 640 can measure energy usage and report it to the energy management controller unit 610 , which may in turn report it to an operations center 100 , which in turn reports it to a utility control console located at the utility's facility.
- electric utility is enabled to have a real-time snapshot of actual storage capacity at the distributed energy management control units and the current loads operating across all the premises in which such geographically dispersed energy management control units are located.
- the electric utility can issue commands to the energy management control units 610 through a smart meter (which receives commands through the transmission lines), the Internet, or other communication mechanism as described above.
- the utility may additionally gather data on energy usage and conservation from energy management control units and implement a monitoring and conservation website hosted, for example, on control center servers, to allow consumers to monitor their energy usage and conservation patterns.
- FIG. 3 illustrates another embodiment of how a home-based power control appliance can be connected to utility operations center, which enables the utility to control the unit through utility-specific software applications such as a utility console, and may additionally allow a customer to monitor the unit through a password-protected website implemented, for example, on a utility control server.
- utility-specific software applications such as a utility console
- FIG. 3 illustrates another embodiment of how a home-based power control appliance can be connected to utility operations center, which enables the utility to control the unit through utility-specific software applications such as a utility console, and may additionally allow a customer to monitor the unit through a password-protected website implemented, for example, on a utility control server.
- FIG. 4 is a conceptual diagram of a utility control center server 110 which implements a utility control console.
- the utility control console is comprised of five modules.
- a data receiving module 112 periodically receives measurements from geographically distributed energy management controllers 610 , each of which may have energy storage capacity, such as a battery or a capacitor.
- a data processing module 114 processes measurements received by the data receiving module 112 , the measurements comprising actual energy production capacity by devices controlled by the energy management controllers 610 .
- the processing of those measurements may include applying system- and user-defined rules.
- Such processing may also include, for example, aggregating the measurements, applying algorithms to individual measurements and aggregating the results, and incorporating other data such as current and predicted weather data. Processed data may be stored on an external storage device 170 connected to the server 110 .
- a user interface module 115 displays data processed by the data processing module 114 on a display device 120 connected to the server 110 and allows end users to control functions provided by the utility control console modules using a graphical user interface supported by the display device.
- a discharge control module 116 transmits commands to energy management controllers 610 which, when appropriate, instruct controllers to discharge stored energy, for example, into a power grid through an inverter.
- a charge control module 117 transmits commands to energy management controllers 610 which, when appropriate, instruct the controllers to charge energy storage devices controlled by the controllers.
- a curtailment control module 118 transmits commands to energy management controllers 610 which, when appropriate, instruct to curtail the load of devices or circuits controlled by the controllers.
- An application programming interface 119 (API) enables the utility to use their own forecasting algorithms instead of the system's.
- a generation control module 113 transmits commands to energy management controllers 610 , which, when appropriate, instruct the controllers to activate and deactivate generation sources controlled by the controller.
- FIG. 5 illustrates one embodiment of a demand response dashboard 1000 , which enables a utility to control and access power that is stored, generated, and managed through appliances.
- the interface has a selection bar 1010 which allows a user to select specific regions under a utility's control, for example, a substation, to manage and control.
- the selection bar 1010 displays the total number of units within the region.
- the interface has a summary bar 1020 which summarizes total capacity within the region which includes stored capacity and curtailable loads.
- Detailed charts are displayed for stored energy 1030 , and dispatchable power 1040 . Detailed charts are also displayed for power consumed by curtailable loads, in the case of the illustrated embodiment, water heaters 1050 , pool pumps 1060 , and HVACs 1070 .
- the charts graphically displays, in real-time, immediate demand reduction potential available across a population of devices that are dispersed throughout the region that may be controlled from the console or a related computer.
- Demand reduction potential can be displayed based on category of demand reduction, such that the amount of potential demand reduction available from a certain category of devices (e.g., hot water heaters) is displayed and controllable separately from a different category of devices (e.g., pool pumps or air conditioners).
- the utility console may additionally provide the ability to monitor and manage performance across a service territory, the individual performance of a single unit, or the collective performance of a subset of units in the service territory (e.g. all units served by a given substation).
- the area to the right of vertical line 1035 in detailed charts 1030 1040 1050 1060 1070 1080 represents load forecasts which are calculated by the system. Such forecasts are made using algorithms which may incorporate historical data, such as measured energy usage for specific classes of loads, and exogenous data such as predicted weather data.
- the electrical capacity displayed by the interface reflects actual storage in batteries in devices located in homes and/or businesses and coupled to the electrical grid. Such capacity may take into account the depth of discharge of individual batteries, such that batteries are not discharged beyond a certain limit, e.g., 80%.
- the immediate capacity may alternatively reflect the aggregated actual output supply of distributed energy resources, such as solar panels that are associated with and coupled to the devices.
- Charts may be customized using chart tools 1090 .
- the user may select the dashboard using a button 1100 , or may switch to an event page or a report page using buttons 1200 and 1300 respectively.
- Utilities are thus enabled to isolate data and control appliances by region or defined groups. Filtering enables utilities to provide a direct impact to where power quality issues reside.
- Reports provided by the utility console application may include reports based on data captured by the appliances in the field. Reports may be filtered by groups or other criteria deemed required. One embodiment of these reports may compare the actual performance of an event versus the user's expectations.
- devices within the region are managed by creating events.
- Events may include demand response (DR) events, charge battery events, and charge energy storage events.
- DR demand response
- the interface in FIG. 5 provides an event creation bar 1400 .
- the type of event may be selected, as well as a start and end date, a start time and end time, and a duration for the event.
- the create event button is selected.
- a confirmation page such as that shown in FIG. 6 may be displayed which may graphically display the expected load reduction.
- Events may be generated, for example, to cause portions of the aggregated electrical storage and/or energy resources to be coupled to the electrical grid (e.g., through inverters), thus increasing supply to the grid.
- the console may be used, for example, to dispatch stored energy from batteries or distributed generation sources (wind, solar, generators, fuel cells, etc.), or a combination of both.
- commands may be transmitted to devices at the customer's premises to turn them on, off, or increase/decrease the settings (e.g., adjusting the temperature setting of a thermostat).
- Commands can be transmitted by structured messages (e.g., Internet messages) sent via a reliable delivery protocol such as IP or TCP so that communications are not materially disrupted due to ambient noise on communication channels (e.g., power lines).
- Demand response events may take one of three forms: curtailment, dispatch (discharging synchronous reserves), or a combination of both curtailment and dispatch.
- Utilities may schedule battery charge events to maintain synchronous reserves levels and ensure charging occurs during the most optimal time periods.
- Utilities may schedule energy storage charge events to maintain synchronous reserves levels and ensure charging occurs during the most optimal time periods.
- the event creation bar further provides an estimate button which may estimate the effect of an event before it is dispatched.
- Events may be scheduled in advance. For example, a control center operator may decide that a demand response event is needed for the following day and will schedule such an event. The system can then automatically notify customers using their preferred notification mechanism (email, text message, etc.), and then send an execution schedule to all the customer sites. Each site replies with an acknowledgement of receipt of the schedule, and the console can report with a high degree of confidence how much load can be expected to be shed (and energy dispatched) based upon the acknowledgement from each site as well as an aggregated estimate of the size of the expected reduction based upon historical measurements.
- energy management controllers at the sites will execute the curtailment and dispatch commands, record the performance and then report back to the utility console.
- energy dispatches can be scheduled to occur at a future time when demand is anticipated to be higher. During off-peak periods, batteries or other energy storage units can be recharged from the grid, solar panels, or other sources.
- Events may also be generated on-demand for immediate execution as the need arises.
- the speed at which these events can be executed is a function of the latency of the communications network. With broadband Ethernet or a typical two-way communications via meters, for example, the event can be executed less than five minutes from the control center operator issuing the command.
- a system incorporating the invention may utilize the real-time measurements of the loads in iterative predictions of an event's performance while the event is underway. In the event a revised prediction indicates that the goal of that event is not expected to be achieved or achieved more effectively, the system may suggest alternatives to reaching that goal or may react automatically (based upon previously defined constraints or rules) to attempt to reach the goal.
- the system may further provide a DR event suggestion function.
- the end user at a utility could be enabled to enter a query such as, “Show me 10 MW on this Day at this Start Time” and query event options presented to them for selection.
- the control center console may generate suggestions which are based in part upon previously defined rules and constraints and may include both the cost and the benefit of the various scenarios, presenting the optimal scenarios to the user.
- Cost may be in terms of dollars, reliability, greenhouse gasses, or any other metric the utility may deem a cost.
- the capacity of electrical storage displayed by the utility console may be “immediate” in that it reflects the actual measured output of a currently-producing asset, such as a solar panel, which can be diverted to the grid (e.g., a solar panel that is presently charging batteries in a home can be diverted to produce electricity for the grid.) It can also be “immediate” in the sense that a particular homeowner or business owner can, by altering mode settings on their power control appliance, alter the availability of production.
- a homeowner who wants to ensure that his or her batteries are fully charged before offering any excess capacity to the grid can select a mode that prevents diversion until such charging has been completed.
- the utility console may reflect this fact by not showing capacity for such units until a future time—for example, an estimated time after which the batteries would be fully charged. If the consumer changes a mode setting, that potential capacity can be promptly reflected on the console.
- a homeowner may also prevent the system from reducing the thermostat beyond a certain point if a certain mode has been selected.
- a utility can offer cost savings to individual customers based on mode selection settings made by the customer. For example, a customer that has selected the most aggressive form of demand management (e.g., temporarily shutting down the maximum number of devices) could be offered a discount or cost reduction on utility bills to compensate for the potential inconvenience of disabling certain devices. Similar discounts or rebates can be offered in exchange for diverting stored energy (e.g., from batteries) or passive (e.g., solar cells) or active (e.g., generators) associated with an individual device back to the grid.
- stored energy e.g., from batteries
- passive e.g., solar cells
- active e.g., generators
- Events may also be generated, for example, to satisfy electrical demands while minimizing the greenhouse gasses produced by the devices that satisfy that demand.
- a utility may place a higher priority on limiting greenhouse gas emissions than on cost, and subsequently will create and manage DR events in order to minimize their greenhouse gas production.
- the utility may create rules for the invention which instruct it to display event recommendations based primarily on the amount of greenhouse gas the event would produce.
- the measured performance can be reported to the utility or other user.
- the report can present the data in groups, such as the aggregate performance of all units by the substation serving them.
- the utility console can constantly measure and record a load profile for each circuit, providing an accurate baseline that is specific to a particular customer. This enables a utility to offer a DR program that is equitable to all participants, compensating them for the load they actually reduced as opposed to using a statistical sampling.
- the utility console may display the cost of various demand-side management scenarios with costs in terms of money, environmental impact, greenhouse gasses, etc. to the utility, such that the utility can see how much it would cost to activate various demand reduction scenarios. For example, by shutting off all pool pumps that are currently activated, a certain amount of demand reduction would be achieved, and the utility could be charged a fee of a certain amount. By shutting off all water heaters that are currently activated, the utility could achieve a different level of demand reduction and might be charged a potentially different fee. These costs can be traded off against the costs of firing up additional power plants or other parameters.
- the system may further implement multiple sets of rules and constraints which govern how the various resources (e.g. energy storage, load control, distributed renewable energy resources, etc.) may be used.
- resources e.g. energy storage, load control, distributed renewable energy resources, etc.
- energy storage units must reserve 50% of their total capacity for usage by the utility's customer as backup power.
- constraints and rules may apply to a single unit, a collection of units, or the entire population of units.
- the control center operator may specify the rate of discharge of energy storage units. Units discharging at 50% of capacity can dispatch for twice as long as units dispatching at 100%. The control center operator can choose the dispatch profile the best suits the need at hand.
- the system may further implement multiple sets of rules and constraints which govern how the combination of various resources, e.g. energy storage plus load control, may be used. For example, if a utility desires to reduce its current load by 50 megawatts, the system may process rules which indicate an optimal solution can be achieved via 30 megawatts of power through dispatching energy storage and 20 megawatts through load curtailment.
- rules and constraints which govern how the combination of various resources, e.g. energy storage plus load control, may be used. For example, if a utility desires to reduce its current load by 50 megawatts, the system may process rules which indicate an optimal solution can be achieved via 30 megawatts of power through dispatching energy storage and 20 megawatts through load curtailment.
- a rule set may dictate that if the price of power is less than $200 per megawatt-day, batteries may discharge up to 50% of their capacity in a single cycle; if the price of power is greater than $200 per megawatt day but less than $400 per megawatt day, batteries may discharge up to 65% of their available capacity in a single cycle; and if the price of power is greater than $400 per megawatt-day, batteries may discharge up to 80% of their capacity in a single cycle.
- the system may then calculate and display the amount of available energy storage capacity based upon the current or expected price of power.
- the system may reduce incremental transmission and distribution investments. For example, the system may help relieve localized transmission and distribution issues by identifying an overstressed substation or feeder line. Deploying units to 5% of the affected areas may substantially increase reliability of the network. By controlling which loads reconnect to the grid, the utility can stagger the reconnecting loads after brief and extended outages to assist with outage recovery management. In addition, units with energy storage capacity can be instructed to discharge immediately after reconnecting to the grid to lessen the impact of loads reconnecting.
- FIG. 7 shows one embodiment for a web-based user interface that permits individual customers to monitor electrical consumption, savings, and associated environmental impact. Access to the website can be limited to customers having power control appliances. Statistics can be compiled and presented using a web-accessible format as illustrated in FIG. 7 .
- Such services may include backup power (for example, using the stored energy, utilities can sell consumers clean, maintenance free backup power service); energy management (utilities can offer customers energy conservation services to reduce electricity cost while fulfilling the utility's energy shaping requirements); benefits within time-of-use pricing schedules.
- backup power for example, using the stored energy, utilities can sell consumers clean, maintenance free backup power service
- energy management utility can offer customers energy conservation services to reduce electricity cost while fulfilling the utility's energy shaping requirements
- benefits within time-of-use pricing schedules In certain embodiments, consumers can expect 10-15% energy cost savings by controlling major consumption items: HVAC, water heaters, pool pumps, etc.
- the utility can provide its customers with detailed consumption information, and translate conservation activities into tangible environmental benefits.
Abstract
Description
- This application is a continuation of U.S. patent application Ser. No. 11/968,941, filed on Jan. 3, 2008, now issued U.S. Pat. No. 8,855,829, which claims the benefit of U.S. Provisional Application No. 60/878,072, entitled Utility Console For Controlling Aggregated Energy Resources, filed Jan. 3, 2007, each of which are hereby incorporated herein by reference in their entirety.
- This application includes material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent disclosure, as it appears in the Patent and Trademark Office files or records, but otherwise reserves all copyright rights whatsoever.
- The present invention relates generally to energy management, and more particularly to a system and method for controlling energy resources, such as distributed energy storage units optionally coupled to renewable energy sources such as solar panels.
- There has been an increasing emphasis in recent years on energy conservation. Electric utilities have also come under increasing pressure to reduce the need to fire up polluting power plants to serve peak demands, such as during hot summer days. Electric utilities also have an incentive to “smooth out” energy demand to minimize the need to install new power lines across limited real estate.
- Two ways in which utilities can perform these tasks are referred to as “demand side management” and “supply side management.” Demand side management refers to the selective reduction of energy demand in response to peak loading conditions. For example, utilities have for years installed devices in the homes of participating consumers that, under utility control, selectively disable energy-consuming devices (e.g., hot water heaters or air conditioning units) in response to peak loading conditions. As another example, utilities are able in certain cases to remotely activate energy supplies to increase the supply of electricity to parts of the electricity grid.
- It would be advantageous to provide more sophisticated control mechanisms to permit electric utilities and others to effectively monitor and control distributed energy resources, such as storage units capable of storing electricity and reselling it to the grid on command. It would also be advantageous to provide more sophisticated demand side management tasks using aggregated resources.
- In one embodiment, the invention is directed to a system and method wherein measurements are received from a plurality of geographically distributed energy management controllers. Each energy management controller has energy storage units with stored energy. The measurements comprise the energy production and storage capacity of the energy management controllers and their associated energy storage units. The measurements are processed and displayed. Such processing may include, e.g., aggregation. Commands are transmitted to a first subset of the energy management controllers to command the units to discharge their stored energy into a power grid through an inverter. Commands are transmitted to a second subset of the plurality of energy management controllers to store energy in each unit's energy storage unit.
- In another embodiment, the invention is directed to a system and method. Measurements are received from a plurality of geographically distributed energy management controllers. At least one of the energy management controllers is coupled to at least one load management device capable of curtailing load to at least one power consuming device. The measurements comprise actual electrical load reflecting consumption attributable to at least one power consuming device. The measurements are processed by, e.g., aggregating the measurements. Commands are transmitted to the energy management controller to cause the controller use the load management controller to curtail the load of the at least one power consuming device.
- In another embodiment, the invention is directed to a system and method. Measurements are received from an energy management controller at a consumer location. The measurements comprise actual electrical load reflecting consumption attributable to the at least one power consuming device. Additional information is received from a consumer at the consumer location reflecting changes in energy uses. Measurements are fed as inputs into rules, and based upon the results of processing those rules, energy consumption/production needs are recalculated and actions are suggested or automatically taken to reduce/increase load, increase/decrease energy storage, or activate/deactivate power generation at the consumer site.
- The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of at least one embodiment of the invention.
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FIG. 1 illustrates an embodiment of a physical system and network which is capable of supporting at least one embodiment of the disclosed system and method. -
FIG. 2 illustrates another embodiment of a power control system which may be implemented at a consumer site such as a residential house or a business in a location geographically dispersed from a utility generation plant. -
FIG. 3 illustrates another embodiment of how a home-based power control appliance can be connected to utility operations center. -
FIG. 4 is a conceptual diagram of a utility control center server which implements a utility control console. -
FIG. 5 (includingFIG. 5 MAP andFIGS. 5A-5C ) illustrates one embodiment of a demand response dashboard, which enables a utility to control and access power that is stored, generated, and managed through appliances. -
FIG. 6 (includingFIG. 6 MAP andFIGS. 6A-6C ) illustrates one embodiment of a confirmation page displayed when an event is created. -
FIG. 7 (includingFIG. 7 MAP andFIGS. 7A-7B ) shows one embodiment for a web-based user interface that permits individual customers to monitor electrical consumption, savings, and associated environmental impact. - The present invention is described below with reference to block diagrams and operational illustrations of methods and devices to manage power generation, consumption, and storage. It is understood that each block of the block diagrams or operational illustrations, and combinations of blocks in the block diagrams or operational illustrations, can be implemented by means of analog or digital hardware and computer program instructions.
- These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, ASIC, or other programmable data processing apparatus, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, implements the functions/acts specified in the block diagrams or operational block or blocks.
- In some alternate implementations, the functions/acts noted in the blocks can occur out of the order noted in the operational illustrations. For example, two blocks shown in succession can in fact be executed substantially concurrently or the blocks can sometimes be executed in the reverse order, depending upon the functionality/acts involved.
- For the purposes of this disclosure the term “server” should be understood to refer to hardware and/or software which provides processing, database, and communication facilities. By way of example, and not limitation, the term “server” can refer to a single, physical processor with associated communications and data storage and database facilities, or it can refer to a networked or clustered complex of processors and associated network and storage devices, as well as operating software and one or more database systems and applications software which support the services provided by the server.
- For the purposes of this disclosure the term “utility” should be understood to refer to an entity that provides or manages the supply of electrical power to one or more energy consumers. The term as used in this disclosure encompasses, without limitation, regional utility companies, regional transmission organizations, and any other load servicing entities or entities which manage the power grid within a geographical area. Energy consumers may be any entity that use electrical power for any purpose such as, without limitation, individual home owners, commercial office buildings, or manufacturing operations.
- For the purposes of this disclosure, the term “energy management controller” should be understood to refer to any device which measures and controls the operation of power generating, power consuming, or power storage devices, or which measures and controls power supplied to one or more electrical circuits. Power generating devices may include, without limitation, renewable energy sources such as solar panels, or may include conventional generators powered by fossil fuels. Power consuming devices may include, without limitation, household appliances such as refrigerators and stoves, climate control systems such as heating and air conditioning, and commercial or manufacturing devices, such as an automated assembly line. Power storage devices may include, without limitation, battery systems and capacitors.
- Energy management controllers may be capable of being connected to one or more networks, such as the Internet, a private WAN, or a cellular communication network. Such network connected controllers may be capable of transmitting measurements made by the controllers to remote locations. Network connected controllers may be further capable of receiving commands from remote locations which control or modify the operation of the controllers
- For the purposes of this disclosure the term “power control appliance” should be understood to refer to an energy management controller which is capable of managing substantially all electrical power generation, consumption, and storage by power generating, power consuming, and power storage devices within an area of control. The power control appliance may a be a processor with associated communications, data storage and database facilities, one or more display device which may support a graphical user interface, as well as operating software and one or more database systems and applications software which support the services provided by the appliance. An area of a control of a power appliance may be, without limitation a single home or factory, a group of homes or factories, or a commercial building.
- For the purposes of this disclosure the term “utility console” and “utility control console” should be understood to refer to one or more servers and associated applications software which implements a graphical user interface that allows a utility to manage power consumption, generation, and storage within one or more areas of control. The utility console may provide for software and hardware interfaces that allow the utility console to communicate with and control one or more energy management controllers within the utility's areas of control.
- For the purposes of this disclosure a computer readable medium stores computer data in machine readable form. By way of example, and not limitation, a computer readable medium can comprise computer storage media and communication media. Computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer-readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by the computer.
- For the purposes of this disclosure a module is a software, hardware, or firmware (or combinations thereof) system, process or functionality, or component thereof, that performs or facilitates the processes, features, and/or functions described herein (with or without human interaction or augmentation). A module can include sub-modules.
- Reference will now be made in detail to illustrative embodiments of the present invention, examples of which are shown in the accompanying drawings.
- In one embodiment, the disclosed system and method is directed to a utility console that enables a utility to monitor and aggregate potential electrical energy stored in a plurality of geographically dispersed devices, such as batteries and capacitors. Commands from the utility console may be transmitted to the plurality of geographically dispersed energy management controllers, causing them to transmit power through inverters to a power grid, creating a “virtual power plant.” The utility console may also monitor actual demand through circuits at geographically dispersed locations, aggregate the demand, and issue commands to curtail loads to reduce the aggregated demand.
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FIG. 1 illustrates an embodiment of a physical system and network which is capable of supporting at least one embodiment of the disclosed system and method. A utility has anoperations control center 100. Within thecontrol center 100, one ormore servers 110 host applications software which implement various applications including a utility console. Such applications software may additionally implement other applications systems, such as billing and CRM systems, and other operational support systems. Theservers 110 have at least onedisplay device 120 that is capable of supporting a graphical user interface. Theservers 110 are additionally connected to one ormore storage devices 170 which may provide for storage of one or more actively used databases or which may provide backup or archiving of data collected by the servers. - The servers are connected to the
local network 130 of the operations control center. Thelocal network 130 is connected to theInternet 400 though conventional routers and/or firewalls 150. Thelocal network 130 may also be connected to a commoncarrier wireless network 500 such as a CDMA network. Thelocal network 130 is also connected to awide area network 200 which is connected to one or more power generation points 300. - The
power generation point 300 is connected to theoperations control center 100 through the wide area network and is connected toconsumers 600 thoughpower transmission lines 310. Thepower transmission lines 310 additionally support transmission of data between thepower generation point 300 andpower consumers 600. Thus, theservers 110 may receive data from or transmit data or commands to distributedenergy management controllers 610 using theInternet 400, thewireless network 500, or theWAN 200. -
Power consumers 600 under the management of theutility control center 100 have one or morepower control appliances 610. Power is transmitted to theconsumer 600 overtransmission lines 310 which form part of the local power grid. Power the consumer draws from the grid may be supplied, in part, by one or more power generation points 300, or may originate in remote locations (not shown). Power enters the consumer premises at ameter 620 and is routed to thepower control appliance 610, which may comprise an onboard computer, energy storage, and an inverter/charger. - The
power control appliance 610 may be configured to control one or more electrical circuits which supply power to one or morepower consuming devices 640, such as household appliances. In one embodiment, the system uses a number of load controllers with integrated measurement and/or a communicating thermostat (not shown). Load controllers with integrated measurement can be installed by placing them inline with the circuit to be measured and controlled, and are usually installed near the main load panel (though there is no requirement to do so). Any number of load controllers with integrated measurement may be installed at a site. The communicating thermostat can be a replacement for an existing thermostat and can work with nearly any HVAC system. HVAC curtailment can be achieved either by interrupting power to the compressor or by communicating with the thermostat to adjust the temperature setpoint or to turn the HVAC system off. The power control appliance may additionally have control connections (not shown) to thepower consuming devices 640 which allow thepower control appliance 610 to control the operation of the devices. - The
power control appliance 610 may be further connected to one or morepower generation devices 630, such as solar panels, which are capable of generating power. Power generated by thepower generation devices 630 may is routed to thepower control appliance 610 for use by the consumer. Under the control of thepower control appliance 610 power generated by thepower generation devices 630 may also be routed, in-whole, or in-part, to thepower grid 310. - The
power control appliance 610 may be controlled, at least in part by the consumer, using a graphical user interface displayed on adisplay device 612. Thepower control appliance 610 may be further controlled remotely by theutility control center 100. In one embodiment, theservers 110 at theutility control center 100 may receive and transmit data and commands to the power appliance using theInternet 400, thewireless network 500, or the WAN 200 (viapower lines 310 from the power generation point.) - Examples of power control appliances which may be used in embodiments of the present system are described in detail in U.S. Patent Application 2006/0158037, entitled “Fully Integrated Power Storage and Supply Appliance with Power uploading Capability,” and U.S. Pat. No. 7,274,975, entitled “Optimized Energy Management System,”, both of which are incorporated by reference herein.
- It is understood that the system and network illustrated in
FIG. 1 is not limited to the control of power consumption, generation, and storage exclusively atconsumer sites 600. The system may manage any resource under the control of an energy management controller connected to the utility control center through a network connection. For example, there may be grid-connected energy storage units, such as capacitor banks, which are owned and operated by the utility expressly for grid management purposes. The system may measure and control such resources, for example, using facilities provided by a utility console provided by software implemented on theservers 110. -
FIG. 2 illustrates another embodiment of a power control system which may be implemented at aconsumer site 600 such as a residential house or a business in a location geographically dispersed from a utility generation plant. An energymanagement controller unit 610 implements supply and demand side management functions. Theunit 610 is optionally coupled to one or morerenewable energy sources 630 such as solar panels, and which may include one or more batteries (not shown) to store electricity. One or more load measurement andcontrol circuits 640 are electrically coupled to managed circuits which may include, for example an HVAC system, a hot water heater, pool pump, and other circuits. - The load measurement and
control circuits 640 can measure energy usage and report it to the energymanagement controller unit 610, which may in turn report it to anoperations center 100, which in turn reports it to a utility control console located at the utility's facility. In one embodiment, electric utility is enabled to have a real-time snapshot of actual storage capacity at the distributed energy management control units and the current loads operating across all the premises in which such geographically dispersed energy management control units are located. - In one embodiment, the electric utility can issue commands to the energy
management control units 610 through a smart meter (which receives commands through the transmission lines), the Internet, or other communication mechanism as described above. The utility may additionally gather data on energy usage and conservation from energy management control units and implement a monitoring and conservation website hosted, for example, on control center servers, to allow consumers to monitor their energy usage and conservation patterns. -
FIG. 3 illustrates another embodiment of how a home-based power control appliance can be connected to utility operations center, which enables the utility to control the unit through utility-specific software applications such as a utility console, and may additionally allow a customer to monitor the unit through a password-protected website implemented, for example, on a utility control server. -
FIG. 4 is a conceptual diagram of a utilitycontrol center server 110 which implements a utility control console. In one embodiment, the utility control console is comprised of five modules. Adata receiving module 112 periodically receives measurements from geographically distributedenergy management controllers 610, each of which may have energy storage capacity, such as a battery or a capacitor. Adata processing module 114 processes measurements received by thedata receiving module 112, the measurements comprising actual energy production capacity by devices controlled by theenergy management controllers 610. The processing of those measurements may include applying system- and user-defined rules. Such processing may also include, for example, aggregating the measurements, applying algorithms to individual measurements and aggregating the results, and incorporating other data such as current and predicted weather data. Processed data may be stored on anexternal storage device 170 connected to theserver 110. - A
user interface module 115 displays data processed by thedata processing module 114 on adisplay device 120 connected to theserver 110 and allows end users to control functions provided by the utility control console modules using a graphical user interface supported by the display device. Adischarge control module 116 transmits commands toenergy management controllers 610 which, when appropriate, instruct controllers to discharge stored energy, for example, into a power grid through an inverter. Acharge control module 117 transmits commands toenergy management controllers 610 which, when appropriate, instruct the controllers to charge energy storage devices controlled by the controllers. Acurtailment control module 118 transmits commands toenergy management controllers 610 which, when appropriate, instruct to curtail the load of devices or circuits controlled by the controllers. An application programming interface 119 (API) enables the utility to use their own forecasting algorithms instead of the system's. Ageneration control module 113 transmits commands toenergy management controllers 610, which, when appropriate, instruct the controllers to activate and deactivate generation sources controlled by the controller. -
FIG. 5 illustrates one embodiment of ademand response dashboard 1000, which enables a utility to control and access power that is stored, generated, and managed through appliances. The interface has aselection bar 1010 which allows a user to select specific regions under a utility's control, for example, a substation, to manage and control. Theselection bar 1010 displays the total number of units within the region. The interface has asummary bar 1020 which summarizes total capacity within the region which includes stored capacity and curtailable loads. - Detailed charts are displayed for stored
energy 1030, anddispatchable power 1040. Detailed charts are also displayed for power consumed by curtailable loads, in the case of the illustrated embodiment,water heaters 1050, pool pumps 1060, andHVACs 1070. The charts graphically displays, in real-time, immediate demand reduction potential available across a population of devices that are dispersed throughout the region that may be controlled from the console or a related computer. Demand reduction potential can be displayed based on category of demand reduction, such that the amount of potential demand reduction available from a certain category of devices (e.g., hot water heaters) is displayed and controllable separately from a different category of devices (e.g., pool pumps or air conditioners). The utility console may additionally provide the ability to monitor and manage performance across a service territory, the individual performance of a single unit, or the collective performance of a subset of units in the service territory (e.g. all units served by a given substation). - The area to the right of
vertical line 1035 indetailed charts 1030 1040 1050 1060 1070 1080 represents load forecasts which are calculated by the system. Such forecasts are made using algorithms which may incorporate historical data, such as measured energy usage for specific classes of loads, and exogenous data such as predicted weather data. - In one embodiment, the electrical capacity displayed by the interface reflects actual storage in batteries in devices located in homes and/or businesses and coupled to the electrical grid. Such capacity may take into account the depth of discharge of individual batteries, such that batteries are not discharged beyond a certain limit, e.g., 80%. The immediate capacity may alternatively reflect the aggregated actual output supply of distributed energy resources, such as solar panels that are associated with and coupled to the devices.
- Charts may be customized using
chart tools 1090. The user may select the dashboard using abutton 1100, or may switch to an event page or a reportpage using buttons - In one embodiment, devices within the region, such as dispatchable power sources and curtailable loads, are managed by creating events. Events may include demand response (DR) events, charge battery events, and charge energy storage events. The interface in
FIG. 5 . provides anevent creation bar 1400. The type of event may be selected, as well as a start and end date, a start time and end time, and a duration for the event. After the details of the event are selected, the create event button is selected. When the event is successfully created, a confirmation page, such as that shown inFIG. 6 may be displayed which may graphically display the expected load reduction. - Events may be generated, for example, to cause portions of the aggregated electrical storage and/or energy resources to be coupled to the electrical grid (e.g., through inverters), thus increasing supply to the grid. The console may be used, for example, to dispatch stored energy from batteries or distributed generation sources (wind, solar, generators, fuel cells, etc.), or a combination of both. When events are dispatched, commands may be transmitted to devices at the customer's premises to turn them on, off, or increase/decrease the settings (e.g., adjusting the temperature setting of a thermostat). Commands can be transmitted by structured messages (e.g., Internet messages) sent via a reliable delivery protocol such as IP or TCP so that communications are not materially disrupted due to ambient noise on communication channels (e.g., power lines).
- Demand response events may take one of three forms: curtailment, dispatch (discharging synchronous reserves), or a combination of both curtailment and dispatch. Utilities may schedule battery charge events to maintain synchronous reserves levels and ensure charging occurs during the most optimal time periods. Utilities may schedule energy storage charge events to maintain synchronous reserves levels and ensure charging occurs during the most optimal time periods. The event creation bar further provides an estimate button which may estimate the effect of an event before it is dispatched.
- Events may be scheduled in advance. For example, a control center operator may decide that a demand response event is needed for the following day and will schedule such an event. The system can then automatically notify customers using their preferred notification mechanism (email, text message, etc.), and then send an execution schedule to all the customer sites. Each site replies with an acknowledgement of receipt of the schedule, and the console can report with a high degree of confidence how much load can be expected to be shed (and energy dispatched) based upon the acknowledgement from each site as well as an aggregated estimate of the size of the expected reduction based upon historical measurements. At the scheduled time, energy management controllers at the sites will execute the curtailment and dispatch commands, record the performance and then report back to the utility console. In certain embodiments, energy dispatches can be scheduled to occur at a future time when demand is anticipated to be higher. During off-peak periods, batteries or other energy storage units can be recharged from the grid, solar panels, or other sources.
- Events may also be generated on-demand for immediate execution as the need arises. The speed at which these events can be executed is a function of the latency of the communications network. With broadband Ethernet or a typical two-way communications via meters, for example, the event can be executed less than five minutes from the control center operator issuing the command.
- In some embodiments, a system incorporating the invention may utilize the real-time measurements of the loads in iterative predictions of an event's performance while the event is underway. In the event a revised prediction indicates that the goal of that event is not expected to be achieved or achieved more effectively, the system may suggest alternatives to reaching that goal or may react automatically (based upon previously defined constraints or rules) to attempt to reach the goal.
- The system may further provide a DR event suggestion function. The end user at a utility could be enabled to enter a query such as, “Show me 10 MW on this Day at this Start Time” and query event options presented to them for selection. The control center console may generate suggestions which are based in part upon previously defined rules and constraints and may include both the cost and the benefit of the various scenarios, presenting the optimal scenarios to the user. Cost may be in terms of dollars, reliability, greenhouse gasses, or any other metric the utility may deem a cost.
- In one embodiment, the capacity of electrical storage displayed by the utility console may be “immediate” in that it reflects the actual measured output of a currently-producing asset, such as a solar panel, which can be diverted to the grid (e.g., a solar panel that is presently charging batteries in a home can be diverted to produce electricity for the grid.) It can also be “immediate” in the sense that a particular homeowner or business owner can, by altering mode settings on their power control appliance, alter the availability of production.
- For example, a homeowner who wants to ensure that his or her batteries are fully charged before offering any excess capacity to the grid can select a mode that prevents diversion until such charging has been completed. The utility console may reflect this fact by not showing capacity for such units until a future time—for example, an estimated time after which the batteries would be fully charged. If the consumer changes a mode setting, that potential capacity can be promptly reflected on the console. A homeowner may also prevent the system from reducing the thermostat beyond a certain point if a certain mode has been selected.
- In one embodiment, a utility can offer cost savings to individual customers based on mode selection settings made by the customer. For example, a customer that has selected the most aggressive form of demand management (e.g., temporarily shutting down the maximum number of devices) could be offered a discount or cost reduction on utility bills to compensate for the potential inconvenience of disabling certain devices. Similar discounts or rebates can be offered in exchange for diverting stored energy (e.g., from batteries) or passive (e.g., solar cells) or active (e.g., generators) associated with an individual device back to the grid.
- Events may also be generated, for example, to satisfy electrical demands while minimizing the greenhouse gasses produced by the devices that satisfy that demand. A utility may place a higher priority on limiting greenhouse gas emissions than on cost, and subsequently will create and manage DR events in order to minimize their greenhouse gas production. For example, the utility may create rules for the invention which instruct it to display event recommendations based primarily on the amount of greenhouse gas the event would produce.
- After a DR event has been completed, the measured performance can be reported to the utility or other user. The report can present the data in groups, such as the aggregate performance of all units by the substation serving them. In certain variations, the utility console can constantly measure and record a load profile for each circuit, providing an accurate baseline that is specific to a particular customer. This enables a utility to offer a DR program that is equitable to all participants, compensating them for the load they actually reduced as opposed to using a statistical sampling.
- In one embodiment, the utility console may display the cost of various demand-side management scenarios with costs in terms of money, environmental impact, greenhouse gasses, etc. to the utility, such that the utility can see how much it would cost to activate various demand reduction scenarios. For example, by shutting off all pool pumps that are currently activated, a certain amount of demand reduction would be achieved, and the utility could be charged a fee of a certain amount. By shutting off all water heaters that are currently activated, the utility could achieve a different level of demand reduction and might be charged a potentially different fee. These costs can be traded off against the costs of firing up additional power plants or other parameters.
- In one embodiment, the system may further implement multiple sets of rules and constraints which govern how the various resources (e.g. energy storage, load control, distributed renewable energy resources, etc.) may be used. For example, there may be a constraint that energy storage units must reserve 50% of their total capacity for usage by the utility's customer as backup power. Such constraints and rules may apply to a single unit, a collection of units, or the entire population of units. In another example, the control center operator may specify the rate of discharge of energy storage units. Units discharging at 50% of capacity can dispatch for twice as long as units dispatching at 100%. The control center operator can choose the dispatch profile the best suits the need at hand.
- In another embodiment, the system may further implement multiple sets of rules and constraints which govern how the combination of various resources, e.g. energy storage plus load control, may be used. For example, if a utility desires to reduce its current load by 50 megawatts, the system may process rules which indicate an optimal solution can be achieved via 30 megawatts of power through dispatching energy storage and 20 megawatts through load curtailment.
- In an even more complex example, a rule set may dictate that if the price of power is less than $200 per megawatt-day, batteries may discharge up to 50% of their capacity in a single cycle; if the price of power is greater than $200 per megawatt day but less than $400 per megawatt day, batteries may discharge up to 65% of their available capacity in a single cycle; and if the price of power is greater than $400 per megawatt-day, batteries may discharge up to 80% of their capacity in a single cycle. The system may then calculate and display the amount of available energy storage capacity based upon the current or expected price of power.
- By implementing peak load reduction and energy shaping, the system may reduce incremental transmission and distribution investments. For example, the system may help relieve localized transmission and distribution issues by identifying an overstressed substation or feeder line. Deploying units to 5% of the affected areas may substantially increase reliability of the network. By controlling which loads reconnect to the grid, the utility can stagger the reconnecting loads after brief and extended outages to assist with outage recovery management. In addition, units with energy storage capacity can be instructed to discharge immediately after reconnecting to the grid to lessen the impact of loads reconnecting.
- The data collected by the utility console may be used to provide consumers with on demand information regarding the consumer's energy uses.
FIG. 7 shows one embodiment for a web-based user interface that permits individual customers to monitor electrical consumption, savings, and associated environmental impact. Access to the website can be limited to customers having power control appliances. Statistics can be compiled and presented using a web-accessible format as illustrated inFIG. 7 . - Combining power control appliances with a utility control console enables the provision of value-added services in addition demand side management. Such services may include backup power (for example, using the stored energy, utilities can sell consumers clean, maintenance free backup power service); energy management (utilities can offer customers energy conservation services to reduce electricity cost while fulfilling the utility's energy shaping requirements); benefits within time-of-use pricing schedules. In certain embodiments, consumers can expect 10-15% energy cost savings by controlling major consumption items: HVAC, water heaters, pool pumps, etc. Additionally, the utility can provide its customers with detailed consumption information, and translate conservation activities into tangible environmental benefits.
- While the invention has been described in detail and with reference to specific embodiments thereof, it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope thereof. Thus, it is intended that the present invention cover the modifications and variations of this invention provided they come within the scope of the appended claims and their equivalents.
Claims (21)
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
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US14/508,119 US20150142193A1 (en) | 2007-01-03 | 2014-10-07 | Utility console for controlling energy resources |
US15/435,535 US20180004239A1 (en) | 2007-01-03 | 2017-02-17 | Utility console for controlling energy resources |
US16/405,092 US11022994B2 (en) | 2007-01-03 | 2019-05-07 | Utility console for controlling energy resources |
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Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140316595A1 (en) * | 2012-12-20 | 2014-10-23 | Bradley Kayton | Advanced Measurement and Verification of Energy Curtailment |
US9393878B1 (en) | 2010-06-02 | 2016-07-19 | Bryan Marc Failing | Energy transfer with vehicles |
CN107683485A (en) * | 2015-06-09 | 2018-02-09 | 欧保能源公司 | The determination of optimum capacity storage method at E-customer's service point |
US20180241210A1 (en) * | 2015-08-12 | 2018-08-23 | Kyocera Corporation | Management server, management method and management system |
US10168682B1 (en) | 2015-11-20 | 2019-01-01 | Wellhead Power Solutions, Llc | System and method for managing load-modifying demand response of energy consumption |
US10916968B2 (en) | 2017-08-17 | 2021-02-09 | Budderfly, Inc. | Third party energy management |
US11069926B1 (en) * | 2019-02-14 | 2021-07-20 | Vcritonc Alpha, Inc. | Controlling ongoing battery system usage via parametric linear approximation |
US11135936B2 (en) | 2019-03-06 | 2021-10-05 | Fermata, LLC | Methods for using temperature data to protect electric vehicle battery health during use of bidirectional charger |
US11444464B1 (en) * | 2016-03-25 | 2022-09-13 | Goal Zero Llc | Portable hybrid generator |
Families Citing this family (265)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8560476B2 (en) * | 2003-08-26 | 2013-10-15 | The Trustees Of Columbia University In The City Of New York | Martingale control of production for optimal profitability of oil and gas fields |
US7623042B2 (en) * | 2005-03-14 | 2009-11-24 | Regents Of The University Of California | Wireless network control for building lighting system |
WO2008086114A2 (en) | 2007-01-03 | 2008-07-17 | Gridpoint, Inc. | Utility console for controlling energy resources |
US8121742B2 (en) * | 2007-11-08 | 2012-02-21 | Flohr Daniel P | Methods, circuits, and computer program products for generation following load management |
US8180491B2 (en) * | 2007-03-02 | 2012-05-15 | Solar Revolution Llc | Systems and methods for solar affected environmental control |
US8112253B2 (en) | 2007-07-26 | 2012-02-07 | Areva T&D, Inc. | Energy management system that provides real time situation awareness of a potential energy management failure |
US20090030712A1 (en) * | 2007-07-26 | 2009-01-29 | Bradley D. Bogolea | System and method for transferring electrical power between grid and vehicle |
US8996183B2 (en) * | 2007-08-28 | 2015-03-31 | Consert Inc. | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management |
US7693609B2 (en) * | 2007-09-05 | 2010-04-06 | Consolidated Edison Company Of New York, Inc. | Hybrid vehicle recharging system and method of operation |
US7917251B2 (en) * | 2007-09-05 | 2011-03-29 | Consolidated Edison Company Of New York, Inc. | Metering system and method of operation |
US8160752B2 (en) * | 2008-09-30 | 2012-04-17 | Zome Networks, Inc. | Managing energy usage |
US20090138131A1 (en) * | 2007-10-22 | 2009-05-28 | Zodiac Pool Systems, Inc. | Residential Environmental Management control System with Sprinkler Control Module |
US20090143917A1 (en) * | 2007-10-22 | 2009-06-04 | Zodiac Pool Systems, Inc. | Residential Environmental Management Control System Interlink |
US8938311B2 (en) | 2007-11-29 | 2015-01-20 | Daniel P. Flohr | Methods of remotely managing water heating units in a water heater |
US20100179705A1 (en) * | 2009-01-14 | 2010-07-15 | Sequentric Energy Systems, Llc | Methods, circuits, water heaters, and computer program products for remote management of separate heating elements in storage water heaters |
US8145357B2 (en) * | 2007-12-20 | 2012-03-27 | Zodiac Pool Systems, Inc. | Residential environmental management control system with automatic adjustment |
US20110061014A1 (en) | 2008-02-01 | 2011-03-10 | Energyhub | Interfacing to resource consumption management devices |
US8255090B2 (en) | 2008-02-01 | 2012-08-28 | Energyhub | System and method for home energy monitor and control |
US20110063126A1 (en) * | 2008-02-01 | 2011-03-17 | Energyhub | Communications hub for resource consumption management |
US20140114867A1 (en) * | 2008-02-12 | 2014-04-24 | Accenture Global Services Gmbh | System for providing actions to reduce a carbon footprint |
US8116915B2 (en) * | 2008-03-03 | 2012-02-14 | University Of Delaware | Methods and apparatus using hierarchical priority and control algorithms for grid-integrated vehicles |
US8606686B1 (en) | 2008-03-07 | 2013-12-10 | Versify Solutions, Inc. | System and method for gathering and performing complex analyses on power data from multiple remote sources |
US8965719B1 (en) | 2008-03-07 | 2015-02-24 | Versify Solutions, Inc. | Universal performance monitor for power generators |
WO2009117742A1 (en) * | 2008-03-21 | 2009-09-24 | The Trustees Of Columbia University In The City Of New York | Methods and systems of determining the effectiveness of capital improvement projects |
WO2009117741A1 (en) * | 2008-03-21 | 2009-09-24 | The Trustees Of Columbia University In The City Of New York | Decision support control centers |
US8063775B2 (en) * | 2008-04-11 | 2011-11-22 | Bay Controls, Llc | Energy management system |
US8761948B1 (en) | 2008-04-25 | 2014-06-24 | Versify Solutions, Inc. | System and method for managing and monitoring renewable energy power generation |
GB0808930D0 (en) | 2008-05-16 | 2008-06-25 | Sunamp Ltd | Energy Storage system |
US7839017B2 (en) * | 2009-03-02 | 2010-11-23 | Adura Technologies, Inc. | Systems and methods for remotely controlling an electrical load |
US8275471B2 (en) | 2009-11-06 | 2012-09-25 | Adura Technologies, Inc. | Sensor interface for wireless control |
US20100114340A1 (en) * | 2008-06-02 | 2010-05-06 | Charles Huizenga | Automatic provisioning of wireless control systems |
US8364325B2 (en) | 2008-06-02 | 2013-01-29 | Adura Technologies, Inc. | Intelligence in distributed lighting control devices |
CA2728091A1 (en) | 2008-06-25 | 2010-01-21 | Versify Solutions, Inc. | Aggregator, monitor, and manager of distributed demand response |
US8097967B2 (en) | 2008-06-30 | 2012-01-17 | Demand Energy Networks, Inc. | Energy systems, energy devices, energy utilization methods, and energy transfer methods |
US8319358B2 (en) | 2008-06-30 | 2012-11-27 | Demand Energy Networks, Inc. | Electric vehicle charging methods, battery charging methods, electric vehicle charging systems, energy device control apparatuses, and electric vehicles |
WO2010005985A1 (en) * | 2008-07-07 | 2010-01-14 | Control4 Corporation | Systems and methods for presenting saving opportunities for electronic devices |
US20100017242A1 (en) * | 2008-07-15 | 2010-01-21 | International Business Machines Corporation | Power standard compliance method and system |
EP2159749A1 (en) * | 2008-08-20 | 2010-03-03 | Alcatel, Lucent | Method of controlling a power grid |
GB0816721D0 (en) * | 2008-09-13 | 2008-10-22 | Daniel Simon R | Systems,devices and methods for electricity provision,usage monitoring,analysis and enabling improvements in efficiency |
US8843242B2 (en) | 2008-09-15 | 2014-09-23 | General Electric Company | System and method for minimizing consumer impact during demand responses |
US8541719B2 (en) | 2008-09-15 | 2013-09-24 | General Electric Company | System for reduced peak power consumption by a cooking appliance |
WO2010030862A1 (en) * | 2008-09-15 | 2010-03-18 | Aclara Power-Line Systems Inc. | A method for load control using temporal measurements of energy for individual pieces of equipment |
US8803040B2 (en) | 2008-09-15 | 2014-08-12 | General Electric Company | Load shedding for surface heating units on electromechanically controlled cooking appliances |
US9303878B2 (en) | 2008-09-15 | 2016-04-05 | General Electric Company | Hybrid range and method of use thereof |
US8548638B2 (en) * | 2008-09-15 | 2013-10-01 | General Electric Company | Energy management system and method |
CA2723150C (en) | 2008-09-15 | 2015-11-17 | General Electric Company | Energy management of household appliances |
AU2009307002A1 (en) * | 2008-10-20 | 2010-04-29 | Mischa Warren Beuthling | Single phase power factor correction system and method |
KR101022574B1 (en) * | 2008-10-28 | 2011-03-16 | 한국전력공사 | Day-Ahead Load Reduction System Based on Customer Baseline Load |
WO2010054477A1 (en) * | 2008-11-14 | 2010-05-20 | Thinkeco Power Inc. | System and method of democratizing power to create a meta-exchange |
US8200370B2 (en) * | 2008-12-04 | 2012-06-12 | American Power Conversion Corporation | Energy reduction |
US20100145884A1 (en) * | 2008-12-04 | 2010-06-10 | American Power Conversion Corporation | Energy savings aggregation |
US8352091B2 (en) * | 2009-01-02 | 2013-01-08 | International Business Machines Corporation | Distributed grid-interactive photovoltaic-based power dispatching |
US8706650B2 (en) * | 2009-01-14 | 2014-04-22 | Integral Analytics, Inc. | Optimization of microgrid energy use and distribution |
EP2387776A4 (en) * | 2009-01-14 | 2013-03-20 | Integral Analytics Inc | Optimization of microgrid energy use and distribution |
US20100191489A1 (en) * | 2009-01-28 | 2010-07-29 | Uqm Technologies, Inc. | Distributed Generation Power System |
US8442698B2 (en) * | 2009-01-30 | 2013-05-14 | Board Of Regents, The University Of Texas System | Methods and apparatus for design and control of multi-port power electronic interface for renewable energy sources |
US20120022709A1 (en) * | 2009-02-02 | 2012-01-26 | Taylor Steven M | Energy delivery control systems and methods |
US8489245B2 (en) * | 2009-02-06 | 2013-07-16 | David Carrel | Coordinated energy resource generation |
US8805597B2 (en) | 2009-02-10 | 2014-08-12 | Steffes Corporation | Electrical appliance energy consumption control |
WO2010096783A1 (en) * | 2009-02-20 | 2010-08-26 | The Trustees Of Columbia University In The City Of New York | Dynamic contingency avoidance and mitigation system |
US8205106B2 (en) | 2009-02-24 | 2012-06-19 | International Business Machines Corporation | Energy load management method and system |
US8201000B2 (en) | 2009-02-24 | 2012-06-12 | International Business Machines Corporation | Computing load management method and system |
JP4703736B2 (en) * | 2009-03-02 | 2011-06-15 | 株式会社東芝 | Energy management system and method |
US8494685B2 (en) * | 2009-04-27 | 2013-07-23 | Cisco Technology, Inc. | System for utilizing predictive energy consumption |
KR101408404B1 (en) | 2009-05-08 | 2014-06-17 | 콘서트 아이엔씨. | System and method for estimating and providing dispatchable operating reserve energy capacity through use of active load management |
US20100292857A1 (en) * | 2009-05-18 | 2010-11-18 | Consolidated Edison Company Of New York, Inc. | Electrical network command and control system and method of operation |
US8725625B2 (en) | 2009-05-28 | 2014-05-13 | The Trustees Of Columbia University In The City Of New York | Capital asset planning system |
US20100306027A1 (en) * | 2009-06-02 | 2010-12-02 | International Business Machines Corporation | Net-Metering In A Power Distribution System |
US8219259B2 (en) * | 2009-06-03 | 2012-07-10 | International Business Machines Corporation | Maintaining uniform power consumption from an electric utility by a local load in a power distribution system |
US20100138348A1 (en) * | 2009-06-12 | 2010-06-03 | Microsoft Corporation | Providing resource-related information using a standardized format |
US9634488B2 (en) * | 2009-06-26 | 2017-04-25 | Abb Schweiz Ag | Load scheduling optimization in distributed system |
US8135499B2 (en) * | 2009-07-07 | 2012-03-13 | International Business Machines Corporation | Load shedding of a selected substation by an electric utility |
US8108081B2 (en) * | 2009-08-12 | 2012-01-31 | Sunpower Corporation | System and method for associating a load demand with a variable power generation |
JP4806059B2 (en) * | 2009-09-09 | 2011-11-02 | 株式会社東芝 | Energy management system and energy management method |
US8744638B2 (en) * | 2009-09-11 | 2014-06-03 | General Electric Company | Method and system for demand response in a distribution network |
US8522579B2 (en) | 2009-09-15 | 2013-09-03 | General Electric Company | Clothes washer demand response with dual wattage or auxiliary heater |
US8943845B2 (en) | 2009-09-15 | 2015-02-03 | General Electric Company | Window air conditioner demand supply management response |
US8943857B2 (en) | 2009-09-15 | 2015-02-03 | General Electric Company | Clothes washer demand response by duty cycling the heater and/or the mechanical action |
US8869569B2 (en) | 2009-09-15 | 2014-10-28 | General Electric Company | Clothes washer demand response with at least one additional spin cycle |
US8874277B2 (en) * | 2009-09-15 | 2014-10-28 | Denis Kouroussis | Smart-grid adaptive power management method and system with power factor optimization and total harmonic distortion reduction |
JP2011066967A (en) * | 2009-09-15 | 2011-03-31 | Panasonic Electric Works Co Ltd | Power distribution system |
DE102009041726A1 (en) * | 2009-09-16 | 2011-03-24 | Siemens Aktiengesellschaft | Gateway and method for network stabilization |
DE102009048784A1 (en) * | 2009-10-08 | 2011-04-14 | Dr. Ing. H.C. F. Porsche Aktiengesellschaft | Method of powering a power consumer |
AU2010303947B2 (en) | 2009-10-09 | 2014-10-02 | Landis+Gyr Technology, Inc. | Apparatus and method for controlling communications to and from utility service points |
US20110087384A1 (en) * | 2009-10-09 | 2011-04-14 | Consolidated Edison Company Of New York, Inc. | System and method for conserving electrical capacity |
US7908036B2 (en) * | 2009-10-20 | 2011-03-15 | General Electric Company | Power production control system and method |
WO2011050358A1 (en) * | 2009-10-23 | 2011-04-28 | Site-Controls, Llc | Method and system for event pattern detection |
US20120209444A1 (en) * | 2009-10-26 | 2012-08-16 | Daegeun Seo | Device and method for controlling electric product |
JP5507959B2 (en) * | 2009-10-26 | 2014-05-28 | パナソニック株式会社 | Power selling system |
US20110109165A1 (en) * | 2009-11-11 | 2011-05-12 | International Business Machines Corporation | Apparatus and method for managing a power source |
GB0919934D0 (en) * | 2009-11-16 | 2009-12-30 | Sunamp Ltd | Energy storage systems |
JP5555715B2 (en) * | 2009-11-30 | 2014-07-23 | 京セラ株式会社 | Control apparatus and control method |
US9058037B2 (en) * | 2009-12-22 | 2015-06-16 | General Electric Company | Return of appliance state after demand response event |
EP2524347B1 (en) * | 2010-01-13 | 2021-09-22 | Power Management Holdings (U.S.), Inc. | Ancillary services network apparatus |
GB2469361B (en) | 2010-01-28 | 2011-04-13 | Energy2Trade Ltd | Power flow measurement and management |
US20110196692A1 (en) * | 2010-02-09 | 2011-08-11 | Chavez Jr Lloyd G | Apparatus, system and method for grid storage |
US20110202194A1 (en) * | 2010-02-15 | 2011-08-18 | General Electric Company | Sub-metering hardware for measuring energy data of an energy consuming device |
US8509976B2 (en) * | 2010-02-18 | 2013-08-13 | University Of Delaware | Electric vehicle equipment for grid-integrated vehicles |
US20130018520A1 (en) * | 2010-02-23 | 2013-01-17 | Eungdal Kim | Execution method of one function of a plurality of functions at a component |
EP2539861A4 (en) | 2010-02-24 | 2013-08-07 | Univ Columbia | Metric monitoring and financial validation system for tracking performance of improvement to an infrastructure |
JP5576476B2 (en) * | 2010-03-29 | 2014-08-20 | 株式会社日立製作所 | Energy management system, energy management apparatus and energy management method |
EP2375527B1 (en) * | 2010-04-12 | 2018-09-19 | Samsung Electronics Co., Ltd. | Demand Response Method and Demand Response System |
KR101708028B1 (en) * | 2010-04-13 | 2017-02-20 | 삼성전자주식회사 | Method and apparatus of displaying consumption power |
US20110258018A1 (en) * | 2010-04-19 | 2011-10-20 | General Electric Company | System and method for scheduling demand response events in a network |
GB2479908B (en) * | 2010-04-28 | 2013-07-10 | Toshiba Res Europ Ltd | Apparatus and method for privacy-driven moderation of metering data |
CN102236349A (en) * | 2010-04-30 | 2011-11-09 | 新奥科技发展有限公司 | System energy efficiency controller, energy efficiency grain device and intelligent energy service system for energy utilization |
EP2385606B1 (en) * | 2010-05-03 | 2019-12-25 | Siemens Gamesa Renewable Energy A/S | System for interchanging electric energy between a battery and an electric grid and respective method. |
US8719804B2 (en) | 2010-05-05 | 2014-05-06 | Microsoft Corporation | Managing runtime execution of applications on cloud computing systems |
US9417616B2 (en) * | 2010-06-22 | 2016-08-16 | Lg Electronics Inc. | Electric product for effectively managing energy sources |
WO2011162552A2 (en) * | 2010-06-22 | 2011-12-29 | 엘지전자 주식회사 | Network system |
US20130197703A1 (en) * | 2010-06-26 | 2013-08-01 | Junho AHN | Component for network system |
WO2011162579A2 (en) * | 2010-06-26 | 2011-12-29 | 엘지전자 주식회사 | Component for network system |
WO2011162555A2 (en) * | 2010-06-26 | 2011-12-29 | 엘지전자 주식회사 | Component for a network system |
US8538593B2 (en) * | 2010-07-02 | 2013-09-17 | Alstom Grid Inc. | Method for integrating individual load forecasts into a composite load forecast to present a comprehensive synchronized and harmonized load forecast |
US9727828B2 (en) | 2010-07-02 | 2017-08-08 | Alstom Technology Ltd. | Method for evaluating operational and financial performance for dispatchers using after the fact analysis |
US20110071690A1 (en) * | 2010-07-02 | 2011-03-24 | David Sun | Methods that provide dispatchers in power grid control centers with a capability to manage changes |
US8972070B2 (en) | 2010-07-02 | 2015-03-03 | Alstom Grid Inc. | Multi-interval dispatch system tools for enabling dispatchers in power grid control centers to manage changes |
US9093840B2 (en) * | 2010-07-02 | 2015-07-28 | Alstom Technology Ltd. | System tools for integrating individual load forecasts into a composite load forecast to present a comprehensive synchronized and harmonized load forecast |
US9558250B2 (en) * | 2010-07-02 | 2017-01-31 | Alstom Technology Ltd. | System tools for evaluating operational and financial performance from dispatchers using after the fact analysis |
US9251479B2 (en) * | 2010-07-02 | 2016-02-02 | General Electric Technology Gmbh | Multi-interval dispatch method for enabling dispatchers in power grid control centers to manage changes |
US20110029142A1 (en) * | 2010-07-02 | 2011-02-03 | David Sun | System tools that provides dispatchers in power grid control centers with a capability to make changes |
CN103154845A (en) | 2010-07-16 | 2013-06-12 | 纽约市哥伦比亚大学托管会 | Machine learning for power grids |
WO2012148597A1 (en) | 2011-04-29 | 2012-11-01 | Electric Transportation Engineering Corporation, D/B/A Ecotality North America | Device to facilitate moving an electrical cable of an electric vehicle charging station and method of providing the same |
WO2012148596A1 (en) | 2011-04-29 | 2012-11-01 | Electric Transportation Engineering Corporation, D/B/A Ecotality North America | System for measuring electricity and method of providing and using the same |
US8560133B2 (en) * | 2010-09-01 | 2013-10-15 | General Electric Company | Energy smart system |
US20120065801A1 (en) * | 2010-09-10 | 2012-03-15 | Comverge, Inc. | Method and system for controlling a building load in tandem with a replenishable energy source in order to increase the apparent size of the replenishable energy source |
WO2012036799A1 (en) * | 2010-09-17 | 2012-03-22 | Lg Electronics Inc. | Network system |
KR101788861B1 (en) * | 2010-09-17 | 2017-10-20 | 엘지전자 주식회사 | A network system |
US8801862B2 (en) | 2010-09-27 | 2014-08-12 | General Electric Company | Dishwasher auto hot start and DSM |
KR101801095B1 (en) * | 2010-10-25 | 2017-11-24 | 삼성전자주식회사 | Power management apparatus, power management system having electrical instrument, and method for controlling the same |
US8941269B1 (en) * | 2010-10-27 | 2015-01-27 | Reliance Controls Corporation | System and method to reduce electrical transients |
US9225766B2 (en) * | 2010-10-29 | 2015-12-29 | Sears Brands, L.L.C. | Systems and methods for providing smart appliances |
WO2012069497A1 (en) * | 2010-11-22 | 2012-05-31 | Timothy Patrick Cooper | Improvements in and relating to electricity supply management systems and hot water storage systems |
US20120136496A1 (en) * | 2010-11-30 | 2012-05-31 | General Electric Company | System and method for estimating demand response in electric power systems |
US9220058B1 (en) * | 2011-01-26 | 2015-12-22 | Daintree Networks, Pty. Ltd. | Multi-protocol load control |
US9063525B2 (en) * | 2011-01-28 | 2015-06-23 | Sunverge Energy, Inc. | Distributed energy services management system |
US8463449B2 (en) | 2011-01-28 | 2013-06-11 | Dean Sanders | Systems, apparatus, and methods of a solar energy grid integrated system with energy storage appliance |
JP2012186950A (en) * | 2011-03-07 | 2012-09-27 | Denso Corp | Electric power supply system |
US8423194B2 (en) * | 2011-03-08 | 2013-04-16 | General Electric Company | Generator demand response behavior |
US9837821B2 (en) | 2011-03-25 | 2017-12-05 | Green Charge Networks Llc | Energy allocation for energy storage cooperation |
JP5259763B2 (en) * | 2011-03-25 | 2013-08-07 | 株式会社東芝 | Power management apparatus, system and method |
US9306396B2 (en) | 2011-03-25 | 2016-04-05 | Green Charge Networks Llc | Utility distribution control system |
US20120253532A1 (en) * | 2011-03-30 | 2012-10-04 | General Electric Company | Systems and methods for forecasting electrical load |
US20120260206A1 (en) * | 2011-04-06 | 2012-10-11 | Cipollo Nicholas J | Method and apparatus for creating and modifying graphical schedules in conjunction with historical data |
WO2012140529A1 (en) * | 2011-04-11 | 2012-10-18 | Koninklijke Philips Electronics N.V. | Load adjustment sharing system and method |
CA2973287C (en) | 2011-04-27 | 2019-06-04 | Steffes Corporation | Energy storage device control |
US9287711B2 (en) * | 2011-05-16 | 2016-03-15 | General Electric Company | Reducing demand/response effects implementing volt/VAR control |
US9768613B2 (en) * | 2011-05-31 | 2017-09-19 | Cisco Technology, Inc. | Layered and distributed grid-specific network services |
WO2012174145A2 (en) | 2011-06-13 | 2012-12-20 | Demand Energy Networks, Inc. | Energy systems and energy supply methods |
US9310786B2 (en) * | 2011-06-17 | 2016-04-12 | Siemens Industry, Inc. | Automated demand response scheduling to reduce electrical loads |
WO2013011758A1 (en) * | 2011-07-15 | 2013-01-24 | 日本電気株式会社 | Storage battery system and method for controlling same |
JP2013025359A (en) * | 2011-07-15 | 2013-02-04 | Sony Corp | Power control device, power management device, power control method and power management system |
US9077204B2 (en) * | 2011-07-20 | 2015-07-07 | Inventus Holdings, Llc | Dispatchable renewable energy generation, control and storage facility |
WO2013019990A1 (en) * | 2011-08-02 | 2013-02-07 | Power Assure, Inc. | System and method for using data centers as virtual power plants |
US8818565B2 (en) * | 2011-08-31 | 2014-08-26 | General Electric Company | Systems and methods for performing islanding operations |
US20130060720A1 (en) * | 2011-09-02 | 2013-03-07 | Hunt Energy Iq, Lp | Estimating and optimizing cost savings for large scale deployments using load profile optimization |
US20130060719A1 (en) * | 2011-09-02 | 2013-03-07 | Hunt Energy Iq, Lp | Load profile management and cost sensitivity analysis |
US20130066482A1 (en) * | 2011-09-13 | 2013-03-14 | Samsung Electronics Co., Ltd. | Apparatus and method for executing energy demand response process in an electrical power network |
US20130073105A1 (en) * | 2011-09-20 | 2013-03-21 | James J. Schmid | System and methods for renewable power notifications |
US9819194B2 (en) * | 2011-09-26 | 2017-11-14 | Kyocera Corporation | Power management system, power management method, and upper power management apparatus |
WO2013047115A1 (en) * | 2011-09-26 | 2013-04-04 | 京セラ株式会社 | Energy management system, energy management method and host energy management device |
US9082141B2 (en) | 2011-10-27 | 2015-07-14 | General Electric Company | Systems and methods to implement demand response events |
US9125010B2 (en) * | 2011-10-27 | 2015-09-01 | General Electric Company | Systems and methods to implement demand response events |
US8972071B2 (en) | 2011-10-27 | 2015-03-03 | General Electric Company | Systems and methods to predict a reduction of energy consumption |
US20130110569A1 (en) * | 2011-10-27 | 2013-05-02 | Mark Joseph Meyerhofer | Systems and methods to schedule demand response events |
WO2013063786A1 (en) * | 2011-11-03 | 2013-05-10 | 达能科技股份有限公司 | System and method for collecting appliance standby electricity-saving information |
US8946929B2 (en) | 2011-11-04 | 2015-02-03 | Honeywell International Inc. | Method and apparatus for effective utilization of energy storage components within a microgid |
JP5899830B2 (en) * | 2011-11-09 | 2016-04-06 | ソニー株式会社 | Power management apparatus, power management method, and demand notification apparatus |
US9192019B2 (en) | 2011-12-07 | 2015-11-17 | Abl Ip Holding Llc | System for and method of commissioning lighting devices |
WO2013088584A1 (en) * | 2011-12-14 | 2013-06-20 | 京セラ株式会社 | Display terminal, power control system, and display method |
JP5603318B2 (en) * | 2011-12-22 | 2014-10-08 | 株式会社日立製作所 | Power demand adjustment system, apparatus, and method |
US8751291B2 (en) * | 2012-01-05 | 2014-06-10 | General Electric Comany | Economic analysis of grid infrastructure |
AU2012366240A1 (en) * | 2012-01-19 | 2014-04-03 | Hunt Energy Iq, Lp | Estimating and optimizing cost savings for large scale deployments using load profile optimization |
US20130190937A1 (en) * | 2012-01-23 | 2013-07-25 | General Electric Company | Systems, Methods, and Apparatus for Monitoring and Alerting Based on Energy Sources and Energy Consumption |
US9007027B2 (en) | 2012-01-31 | 2015-04-14 | Green Charge Networks Llc | Charge management for energy storage temperature control |
KR20130091844A (en) * | 2012-02-09 | 2013-08-20 | 한국전자통신연구원 | Home energy managemetnt apparatus and method for interworking with renewable energy |
US9048671B2 (en) | 2012-02-24 | 2015-06-02 | Green Charge Networks Llc | Delayed reactive electrical consumption mitigation |
EP2645532A1 (en) * | 2012-03-28 | 2013-10-02 | Terafero bvba | An intelligent electronic control and communications interface module for a thermal or electrical energy storage module grid, and methods for stored thermal or electrical energy and thermal or electrical energy storage capacity trading. |
US9153965B2 (en) * | 2012-04-13 | 2015-10-06 | Sharp Laboratories Of America, Inc. | System and method for energy storage management |
US20190317463A1 (en) | 2012-05-19 | 2019-10-17 | Growing Energy Labs, Inc. | Adaptive energy storage operating system for multiple economic services |
US9817376B1 (en) | 2012-05-19 | 2017-11-14 | Growing Energy Labs, Inc. | Adaptive energy storage operating system for multiple economic services |
US9212933B2 (en) * | 2012-06-13 | 2015-12-15 | Fujitsu Limited | Smart grid electricity usage monitoring |
MX345390B (en) | 2012-06-13 | 2017-01-27 | S & C Electric Co | Power grid photo-voltaic integration using distributed energy storage and management. |
US9207698B2 (en) * | 2012-06-20 | 2015-12-08 | Causam Energy, Inc. | Method and apparatus for actively managing electric power over an electric power grid |
KR20140023125A (en) * | 2012-08-17 | 2014-02-26 | 엘지전자 주식회사 | Energy storage device, device for managing power, mobile termianl and method for operating the same |
US20140053557A1 (en) * | 2012-08-21 | 2014-02-27 | Cogenra Solar, Inc. | Maximizing value from a concentrating solar energy system |
CN103679306A (en) * | 2012-08-31 | 2014-03-26 | 国际商业机器公司 | Method and system for saving building energy consumption |
US9915927B2 (en) * | 2012-10-11 | 2018-03-13 | Nec Corporation | System and method for accommodating power and non-transitory computer-readable medium storing program |
US8897632B2 (en) | 2012-10-17 | 2014-11-25 | Daniel P. Flohr | Methods of remotely managing water heating units in a water heater and related water heaters |
US20140142776A1 (en) * | 2012-11-16 | 2014-05-22 | Kaj Skov Nielsen | Method of controlling a power plant |
US9748770B2 (en) | 2012-12-07 | 2017-08-29 | Battelle Memorial Institute | Using demand side resources to provide frequency regulation |
CA2896747A1 (en) * | 2012-12-28 | 2014-07-03 | Huaxin GONG | Managing an energy storage system |
US9368968B2 (en) * | 2012-12-28 | 2016-06-14 | Younicos, Inc. | Responding to local grid events and distributed grid events |
JP2014150641A (en) * | 2013-01-31 | 2014-08-21 | Toshiba Corp | Energy management system, energy management method, program, and server device |
AU2014228186B2 (en) | 2013-03-15 | 2019-11-07 | Hayward Industries, Inc | Modular pool/spa control system |
AU2014292817A1 (en) * | 2013-07-18 | 2016-03-10 | Share My Solar Pty Ltd | An electricity distribution system and method |
US20150066228A1 (en) * | 2013-07-26 | 2015-03-05 | Peaknrg | Building Management and Appliance Control System |
US9511675B2 (en) | 2013-09-13 | 2016-12-06 | Nissan North America, Inc. | Methods of decreasing peak energy consumption |
US20150094870A1 (en) * | 2013-10-02 | 2015-04-02 | Enphase Energy, Inc. | Method and apparatus for controlling power based on predicted weather events |
US9471080B2 (en) | 2013-10-21 | 2016-10-18 | Restore Nv | Portfolio managed, demand-side response system |
CA2935852C (en) | 2014-01-31 | 2023-03-14 | Steffes Corporation | Power consumption management through energy storage devices |
WO2015139061A1 (en) * | 2014-03-14 | 2015-09-17 | Power Analytics Corporation | Ramp rate control system and methods using energy storage devices |
US9509159B2 (en) | 2014-03-20 | 2016-11-29 | Nissan North America, Inc. | Systems and methods for decreasing peak energy consumption of a power consumer using vehicle battery capacity |
US10133250B2 (en) * | 2014-06-20 | 2018-11-20 | Veritone Alpha, Inc. | Managing construction of decision modules to control target systems |
JP6561562B2 (en) * | 2014-06-30 | 2019-08-21 | パナソニック インテレクチュアル プロパティ コーポレーション オブ アメリカPanasonic Intellectual Property Corporation of America | Cooking apparatus, information display apparatus, control method, cooking utensil, and computer program |
US20160087440A1 (en) | 2014-07-04 | 2016-03-24 | Stefan Matan | Power grid saturation control with distributed grid intelligence |
US11063431B2 (en) | 2014-07-04 | 2021-07-13 | Apparent Labs Llc | Hierarchical and distributed power grid control |
US10879695B2 (en) | 2014-07-04 | 2020-12-29 | Apparent Labs, LLC | Grid network gateway aggregation |
US10078315B2 (en) * | 2014-07-11 | 2018-09-18 | Nec Corporation | Collaborative balancing of renewable energy overproduction with electricity-heat coupling and electric and thermal storage for prosumer communities |
GB2529429B (en) * | 2014-08-19 | 2021-07-21 | Origami Energy Ltd | Power distribution control system |
WO2016039844A1 (en) * | 2014-09-08 | 2016-03-17 | Debone Christopher Robert | Grid tied, real time adaptive, distributed intermittent power |
CA2923930C (en) | 2015-03-19 | 2019-09-17 | Battelle Memorial Institute | Primary frequency control through simulated droop control with electric loads |
JP6069597B1 (en) | 2015-06-08 | 2017-02-01 | 京セラ株式会社 | Power conversion device, power management device, and power management method |
JP6085071B1 (en) * | 2015-06-08 | 2017-02-22 | 京セラ株式会社 | Power conversion device, power management device, and power management method |
CN106325256A (en) * | 2015-06-15 | 2017-01-11 | 泰科电子(上海)有限公司 | Detection method of household electrical appliance bus control system |
US20170025894A1 (en) | 2015-07-04 | 2017-01-26 | Sunverge Energy, Inc. | Microgrid controller for distributed energy systems |
US9960637B2 (en) | 2015-07-04 | 2018-05-01 | Sunverge Energy, Inc. | Renewable energy integrated storage and generation systems, apparatus, and methods with cloud distributed energy management services |
EP3133373B1 (en) * | 2015-08-19 | 2020-05-06 | LSIS Co., Ltd. | Power monitoring system |
EP3133374A1 (en) * | 2015-08-19 | 2017-02-22 | LSIS Co., Ltd. | Power monitoring system |
US10103550B2 (en) * | 2016-01-19 | 2018-10-16 | Fujitsu Limited | Aggregated and optimized virtual power plant control |
US11720085B2 (en) | 2016-01-22 | 2023-08-08 | Hayward Industries, Inc. | Systems and methods for providing network connectivity and remote monitoring, optimization, and control of pool/spa equipment |
US11181875B2 (en) * | 2016-01-22 | 2021-11-23 | Johnson Controls Tyco IP Holdings LLP | Systems and methods for monitoring and controlling a central plant |
US20170212484A1 (en) | 2016-01-22 | 2017-07-27 | Hayward Industries, Inc. | Systems and Methods for Providing Network Connectivity and Remote Monitoring, Optimization, and Control of Pool/Spa Equipment |
KR101719954B1 (en) * | 2016-02-11 | 2017-04-04 | 엘에스산전 주식회사 | System for monitoring electric energy |
US20170271984A1 (en) | 2016-03-04 | 2017-09-21 | Atigeo Corp. | Using battery dc characteristics to control power output |
WO2017154116A1 (en) * | 2016-03-08 | 2017-09-14 | 日本電気株式会社 | Power control device, power control system, power control method, and program |
JP7222883B2 (en) | 2016-04-28 | 2023-02-15 | ヴェリトーン アルファ インコーポレイテッド | Using predictions to control target systems |
US20170363666A1 (en) * | 2016-06-16 | 2017-12-21 | Enphase Energy, Inc. | Method and apparatus for energy flow visualization |
JP6761969B2 (en) * | 2016-07-05 | 2020-09-30 | パナソニックIpマネジメント株式会社 | Information terminal device control method, control program, and information display system |
US10359749B2 (en) * | 2016-12-07 | 2019-07-23 | At&T Intellectual Property I, L.P. | Method and apparatus for utilities management via guided wave communication |
US20180163343A1 (en) * | 2016-12-09 | 2018-06-14 | Sejoongis Co., Ltd. | Factory energy management system for dyeing industry |
CA3051063C (en) * | 2017-02-15 | 2022-04-05 | Simon Jasmin | Power control device |
US10746428B2 (en) | 2017-03-09 | 2020-08-18 | Johnson Controls Technology Company | Building automation system with a dynamic cloud based control framework |
US10706375B2 (en) | 2017-03-29 | 2020-07-07 | Johnson Controls Technology Company | Central plant with asset allocator |
EP3386058A1 (en) * | 2017-04-04 | 2018-10-10 | ABB S.p.A. | A computer-implemented method for configuring a load shedding controller |
EP3616007A1 (en) | 2017-04-25 | 2020-03-04 | Johnson Controls Technology Company | Predictive building control system with neural network based constraint generation |
US10999652B2 (en) | 2017-05-24 | 2021-05-04 | Engie Storage Services Na Llc | Energy-based curtailment systems and methods |
US11271769B2 (en) | 2019-11-14 | 2022-03-08 | Johnson Controls Tyco IP Holdings LLP | Central plant control system with asset allocation override |
US11394573B2 (en) * | 2017-06-13 | 2022-07-19 | SynCells, Inc. | Energy virtualization layer with a universal smart gateway |
US10658841B2 (en) | 2017-07-14 | 2020-05-19 | Engie Storage Services Na Llc | Clustered power generator architecture |
US10504195B2 (en) * | 2017-11-13 | 2019-12-10 | Mitsubishi Electric Research Laboratories, Inc. | System and method for decentralized energy production |
US20190146425A1 (en) * | 2017-11-15 | 2019-05-16 | Electronics And Telecommunications Research Institute | Method and apparatus for controlling demand management based on energy source selection by real-time price information |
DK3495780T3 (en) * | 2017-12-05 | 2021-12-20 | Fortum Oyj | SUPPLY USE CLASSIFICATION |
EP3731330A4 (en) * | 2017-12-21 | 2021-07-07 | Honda Motor Co., Ltd. | Power system, energy system, energy exchange system, program, terminal, and mobile body |
CN108416518B (en) * | 2018-02-28 | 2021-07-20 | 国网江苏省电力有限公司电力科学研究院 | Power service grid division and distribution method for distribution managers |
WO2019180277A1 (en) * | 2018-03-23 | 2019-09-26 | Electricity North West Property Limited | System for controlling power consumption on a distribution grid |
EP3661000A1 (en) * | 2018-11-27 | 2020-06-03 | Electricity North West Property Limited | System for controlling power consumption on a distribution grid |
JP7063669B2 (en) * | 2018-03-23 | 2022-05-09 | シャープ株式会社 | Power information creation device and power information display system |
GB2577853B (en) * | 2018-06-22 | 2021-03-24 | Moixa Energy Holdings Ltd | Systems for machine learning, optimising and managing local multi-asset flexibility of distributed energy storage resources |
US10666076B1 (en) | 2018-08-14 | 2020-05-26 | Veritone Alpha, Inc. | Using battery state excitation to control battery operations |
US10452045B1 (en) | 2018-11-30 | 2019-10-22 | Veritone Alpha, Inc. | Controlling ongoing battery system usage while repeatedly reducing power dissipation |
US10816949B1 (en) | 2019-01-22 | 2020-10-27 | Veritone Alpha, Inc. | Managing coordinated improvement of control operations for multiple electrical devices to reduce power dissipation |
US11097633B1 (en) | 2019-01-24 | 2021-08-24 | Veritone Alpha, Inc. | Using battery state excitation to model and control battery operations |
US11644806B1 (en) | 2019-01-24 | 2023-05-09 | Veritone Alpha, Inc. | Using active non-destructive state excitation of a physical system to model and control operations of the physical system |
CA3140642A1 (en) * | 2019-06-25 | 2020-12-30 | Ke MA | Multi-period transactive coordination for day-ahead energy and ancillary service market co-optimization with der flexibilities and uncertainties |
US11407327B1 (en) | 2019-10-17 | 2022-08-09 | Veritone Alpha, Inc. | Controlling ongoing usage of a battery cell having one or more internal supercapacitors and an internal battery |
CN111969628B (en) * | 2020-07-02 | 2022-06-07 | 中国能源建设集团江苏省电力设计院有限公司 | Solving method of optimal control strategy of energy storage power station, storage medium and equipment |
CN112510735B (en) * | 2020-09-24 | 2023-06-20 | 葛炽昌 | Power dispatching system and power dispatching method |
EP4012631A1 (en) * | 2020-12-11 | 2022-06-15 | ABB Schweiz AG | A method for evaluating an electrical power management of technical units |
CN112909970B (en) * | 2021-01-22 | 2022-12-13 | 广东力盾新能源科技有限公司 | Power resource energy storage management method and device and energy storage management charger |
CN112801379B (en) * | 2021-01-30 | 2022-04-19 | 河南城建学院 | Smart power grid distributed energy management system based on cloud computing and big data |
US11892809B2 (en) | 2021-07-26 | 2024-02-06 | Veritone, Inc. | Controlling operation of an electrical grid using reinforcement learning and multi-particle modeling |
US11695274B1 (en) | 2022-03-21 | 2023-07-04 | Nuvve Corporation | Aggregation platform for intelligent local energy management system |
US11747781B1 (en) | 2022-03-21 | 2023-09-05 | Nuvve Corporation | Intelligent local energy management system at local mixed power generating sites for providing grid services |
CA3194533A1 (en) * | 2022-03-31 | 2023-09-30 | Eaton Intelligent Power Limited | System and method for distributed communications and control for electric utility grid |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040088083A1 (en) * | 2001-08-15 | 2004-05-06 | James Davis | System and method for controlling power demand over an integrated wireless network |
US20060276938A1 (en) * | 2005-06-06 | 2006-12-07 | Equinox Energy Solutions, Inc. | Optimized energy management system |
US20080172312A1 (en) * | 2006-09-25 | 2008-07-17 | Andreas Joanni Synesiou | System and method for resource management |
Family Cites Families (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4264960A (en) | 1979-07-02 | 1981-04-28 | Sangamo Weston, Inc. | System for controlling power distribution to customer loads |
US5572438A (en) | 1995-01-05 | 1996-11-05 | Teco Energy Management Services | Engery management and building automation system |
US6889122B2 (en) | 1998-05-21 | 2005-05-03 | The Research Foundation Of State University Of New York | Load controller and method to enhance effective capacity of a photovoltaic power supply using a dynamically determined expected peak loading |
WO2002007365A2 (en) | 2000-07-13 | 2002-01-24 | Nxegen | System and method for monitoring and controlling energy usage |
US6874691B1 (en) | 2001-04-10 | 2005-04-05 | Excel Energy Technologies, Inc. | System and method for energy management |
US20030036820A1 (en) | 2001-08-16 | 2003-02-20 | International Business Machines Corporation | Method for optimizing energy consumption and cost |
US7085112B2 (en) * | 2001-10-04 | 2006-08-01 | Ise Corporation | High-power ultracapacitor energy storage pack and method of use |
WO2003036688A2 (en) | 2001-10-25 | 2003-05-01 | Sandia Corporation | Alternating current photovoltaic building block |
CA2528045A1 (en) * | 2003-06-05 | 2004-12-16 | Enfo Broadcast As | A method and a system for automatic management of demand for non-durables |
US7385373B2 (en) * | 2003-06-30 | 2008-06-10 | Gaia Power Technologies, Inc. | Intelligent distributed energy storage system for demand side power management |
US20060155423A1 (en) * | 2005-01-10 | 2006-07-13 | Budike Lothar E S Jr | Automated energy management system |
WO2006076259A2 (en) | 2005-01-10 | 2006-07-20 | Nicholas Pasquale | Distributed energy storage for reducing power demand |
US7130722B2 (en) | 2005-02-22 | 2006-10-31 | Distribution Control Systems, Inc. | Smart disconnect switch interbase |
WO2008086114A2 (en) | 2007-01-03 | 2008-07-17 | Gridpoint, Inc. | Utility console for controlling energy resources |
-
2008
- 2008-01-03 WO PCT/US2008/050141 patent/WO2008086114A2/en active Application Filing
- 2008-01-03 US US11/968,941 patent/US8855829B2/en active Active - Reinstated
-
2014
- 2014-10-07 US US14/508,119 patent/US20150142193A1/en not_active Abandoned
-
2017
- 2017-02-17 US US15/435,535 patent/US20180004239A1/en not_active Abandoned
-
2019
- 2019-05-07 US US16/405,092 patent/US11022994B2/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040088083A1 (en) * | 2001-08-15 | 2004-05-06 | James Davis | System and method for controlling power demand over an integrated wireless network |
US20060276938A1 (en) * | 2005-06-06 | 2006-12-07 | Equinox Energy Solutions, Inc. | Optimized energy management system |
US20080172312A1 (en) * | 2006-09-25 | 2008-07-17 | Andreas Joanni Synesiou | System and method for resource management |
Cited By (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9393878B1 (en) | 2010-06-02 | 2016-07-19 | Bryan Marc Failing | Energy transfer with vehicles |
US10124691B1 (en) | 2010-06-02 | 2018-11-13 | Bryan Marc Failing | Energy transfer with vehicles |
US11186192B1 (en) | 2010-06-02 | 2021-11-30 | Bryan Marc Failing | Improving energy transfer with vehicles |
US20140316595A1 (en) * | 2012-12-20 | 2014-10-23 | Bradley Kayton | Advanced Measurement and Verification of Energy Curtailment |
CN107683485A (en) * | 2015-06-09 | 2018-02-09 | 欧保能源公司 | The determination of optimum capacity storage method at E-customer's service point |
US20180241210A1 (en) * | 2015-08-12 | 2018-08-23 | Kyocera Corporation | Management server, management method and management system |
US10168682B1 (en) | 2015-11-20 | 2019-01-01 | Wellhead Power Solutions, Llc | System and method for managing load-modifying demand response of energy consumption |
US11444464B1 (en) * | 2016-03-25 | 2022-09-13 | Goal Zero Llc | Portable hybrid generator |
US10916968B2 (en) | 2017-08-17 | 2021-02-09 | Budderfly, Inc. | Third party energy management |
US11689051B2 (en) | 2017-08-17 | 2023-06-27 | Budderfly, Inc. | Third party energy management |
US11069926B1 (en) * | 2019-02-14 | 2021-07-20 | Vcritonc Alpha, Inc. | Controlling ongoing battery system usage via parametric linear approximation |
US11135936B2 (en) | 2019-03-06 | 2021-10-05 | Fermata, LLC | Methods for using temperature data to protect electric vehicle battery health during use of bidirectional charger |
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US8855829B2 (en) | 2014-10-07 |
US20220147088A1 (en) | 2022-05-12 |
WO2008086114A3 (en) | 2008-10-09 |
US11022994B2 (en) | 2021-06-01 |
US20080167756A1 (en) | 2008-07-10 |
US20180004239A1 (en) | 2018-01-04 |
WO2008086114A2 (en) | 2008-07-17 |
US20200150705A1 (en) | 2020-05-14 |
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