Patent classifications
Y02B70/3225
Domestic appliance demand-response power consumption control system and method
A power control device for an electrically powered appliance may selectively switch off one 110 volt input (of two separate 110 volt input lines) of a 220 volt power supply to the appliance during certain periods of operation, in response to a demand-response request. This may adjust operation of one or more components of the appliance, thus adjusting an amount of power consumed by the appliance. A determination of which one, of the two, 110 volt input lines to be switched off may be made based on an analysis of the amount of power consumed by each of the two 110 volt input lines during operation of the appliance. The power control device may be provided at any point between the electrically powered appliance and a power distribution panel distributing power from an external source.
METHOD AND SYSTEM FOR CONTROLLING AN ELECTRICAL INSTALLATION
A method for controlling an electrical installation at least one of an electrical energy source or an energy sink. The electrical installation is coupled to a power grid. The method includes a period of time having a start time and a duration being specified, an upward flexibility Fo, which includes a forecast maximum feed-in power increase or feed-out power decrease, and a downward flexibility Fu, which includes a forecast maximum feed-out power increase or feed-in power decrease, being set for the period of time, a selling threshold price Pv and a purchasing threshold price Pe being set for the period of time, and an electricity trading transaction being concluded for the period of time. The electricity trading transaction includes a base value, a base quantity, a base price, a date on which the electricity trading transaction is to be carried out.
COMPUTER-READABLE RECORDING MEDIUM STORING CONTROL PROGRAM AND CONTROL METHOD
A computer-readable recording medium storing a control program for causing a computer to execute a process, the process includes detecting, at predetermined time intervals, an average value of power detected from each breaker of breaker groups in a plurality of hierarchical levels to which power is supplied from a plurality of power supplies, and causing, in a case where there is a breaker of which the average value has an increase by a predetermined ratio or more in a certain hierarchical level and an upper hierarchical level of the certain hierarchical level among the plurality of hierarchical levels, one power supply among the plurality of power supplies to output power obtained by adding the increase in the breaker in the upper hierarchical level.
SITE MANAGEMENT IN AN ON-DEMAND SYSTEM
Methods and systems are provided for managing environmental conditions and energy usage associated with a site. One exemplary method of regulating an environment condition at a site involves a server receiving environmental measurement data from a monitoring system at the site via a network, determining an action for an electrical appliance at the site based at least in part on the environmental measurement data and one or more monitoring rules associated with the site, and providing an indication of the action to an actuator for the electrical appliance.
OPTIMIZED CHARGING OF ELECTRIC VEHICLES OVER DISTRIBUTION GRID
Techniques are presented for scheduling the charging of electric vehicles (EVs) that protect the resources of local low voltage distribution networks. From utilities, data on local low voltage distribution networks, such as the rating of a distribution transformer through which a group of EVs are supplied, is provided to a load manager application. Telematics information on vehicle usage is provided from the EVs, such as by way of the original equipment manufacturer. From these data, the load manager application determines schedules for charging the group of EVs through a shared low voltage distribution network so that the capabilities of the local low voltage distribution network are not exceeded while meeting the needs of the EV user. Charging schedules are then transmitted to the on-board control systems of the EVs for implementation.
Building energy optimization system with economic load demand response (ELDR) optimization and ELDR user interfaces
An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.
Energy conservation using active demand stabilization
Some embodiments include electric power demand stabilization methods and systems that may include measuring the power draw of a plurality of controllable devices; determining a rolling average power draw for the plurality of controllable devices over a period of time; measuring an instantaneous power draw of the plurality of controllable devices; and calculating a power budget comprising the difference between the instantaneous power draw and the rolling average power draw. In the event the power budget is positive, increasing power to at least a first subset of the plurality of controllable devices. In the event the power budget is negative, decreasing power to at least a second subset of the plurality of controllable devices.
DECENTRALIZED HARDWARE-IN-THE-LOOP SCHEME
A method tests the configuration of an aggregated DERs system using distributed asset managers in a decentralized hardware-in-the-loop (“HIL”) scheme. The managers contain the model of the asset they are meant to control. The method programs an asset manager with a model of a DERs asset. A plurality of asset managers are connected to a central controller. The plurality of asset managers are also connected to a simplified hardware-in-the-loop platform. The simplified HIL platform is configured to solve a network model, a load model, a non-controllable asset model, and a grid model. The method tests the DERs system control structure by using: (a) the simplified HIL platform to solve the network model, the load model, the non-controllable asset model, and the grid model, and (b) the asset manager to solve the model of the DERs asset, without any simulation between the central controller and the distributed asset managers.
METHOD, DEVICE, AND SYSTEM FOR MANAGING CHARGE AND DISCHARGE OF ESS GROUP FOR VOLTAGE STABILIZATION OF SYSTEM HAVING DISTRIBUTED POWER SUPPLY CONNECTED THERETO
According to an embodiment of the present invention, there is provided a method for managing charging and discharging of an energy storage system (ESS) group for voltage stabilization of a grid having a distributed resource connected thereto in a power management device, the method including measuring a voltage and current amount of the grid to which the distributed resource is connected, performing control so that a voltage of the grid to which the distributed resource is connected is reduced through charging of an ESS group to be charged, by determining that a plurality of ESSs connected to a power distribution line are required to be charged when it is confirmed that the voltage and current amount of the grid to which the distributed resource is connected are greater than a preset reference voltage and current amount, calculating a required charge amount through a difference between the voltage and current amount of the grid to which the distributed resource is connected and the reference voltage and current amount, checking the chargeable capacity for each of ESS groups in which the plurality of ESSs are classified according to a preset condition, selecting the ESS group to be charged from among the ESS groups based on the required charge amount and the chargeable capacity for each ESS group, and transmitting a charging command for the required charge amount to the ESS group to be charged, performing control so that the voltage of the grid to which the distributed resource is connected is increased through charging of an ESS group to be discharged, by determining that the plurality of ESSs are required to be discharged when it is confirmed that the voltage and current amount of the grid to which the distributed resource is connected are smaller than the reference voltage and current amount, calculating a required discharge amount through the difference between the voltage and current amount of the grid to which the distributed resource is connected and the reference voltage and current amount, checking the dischargeable capacity for each of the ESS groups, selecting the ESS group to be discharged from among the ESS groups based on the required discharge amount and the dischargeable capacity for each ESS group, and transmitting a discharging command for the required discharge amount to the ESS group to be discharged, calculating a voltage control amount through a charge amount and a discharge amount for each ESS group when the voltage of the grid to which the distributed resource is connected is stabilized by charging and discharging the plurality of ESSs, and providing a performance incentive for voltage stabilization to the ESS group in which it is co
Power distribution control with asset assimilation and optimization
In a power control system a server maintains asset models that represent asset behaviour, each asset model being in real-time communication with its asset to dynamically inform the model of the status of the asset. A test is performed at the server by issuing a command to an asset requesting the asset to perform a function. Sensors at the asset measure physical parameters at the asset and report these to the server. The server determines whether the asset responded to the command and, if the asset responded, how it responded over time. The server establishes a model for the asset in terms of an energy capacitance and a time constant based on the measured response. An optimizer determines which assets are to participate in which service models. The server sends instructions to the selected assets to attempt to fulfill the services.