A method for controlling production of one or more refined resources by an energy provider includes predicting a demand for the refined resources by one or more consumers of the refined resources as a function of an incentive offered by the energy provider. The method further includes performing an optimization of an objective function subject to a constraint based on the predicted demand for the refined resources to determine an amount of the refined resources for the energy provider to produce and a value of the incentive at multiple times within a time period. The method also includes providing setpoints for equipment of the energy provider that cause the equipment to produce the amount of the refined resources determined by performing the optimization.

A system, referred to as a reading system, used in an automated metering management system in the context of a fluid-distribution service comprising a plurality of fluid meters is disclosed. The first communication module in accordance with a wireless communication standard is used by each fluid meter and a second communication module suitable for communicating by powerline with a data concentrator via a first network, said data concentrator communicating with a management entity of the automated metering management system via a second network. Instancing an application emulating a virtual fluid meter able to communicate directly with the data concentrator for each fluid meter in the plurality, and, for each fluid meter in the plurality, the corresponding virtual fluid meter takes responsibility for retransmitting information representing a fluid-consumption reading, said information having been supplied to the reading system by said fluid meter to the management entity via the data concentrator.

A system, referred to as a reading system, used in an automated metering management system in the context of a fluid-distribution service comprising a plurality of fluid meters is disclosed. The first communication module in accordance with a wireless communication standard is used by each fluid meter and a second communication module suitable for communicating by powerline with a data concentrator via a first network, said data concentrator communicating with a management entity of the automated metering management system via a second network. Instancing an application emulating a virtual fluid meter able to communicate directly with the data concentrator for each fluid meter in the plurality, and, for each fluid meter in the plurality, the corresponding virtual fluid meter takes responsibility for retransmitting information representing a fluid-consumption reading, said information having been supplied to the reading system by said fluid meter to the management entity via the data concentrator.

The present invention relates to a state of charge (SOC) management system of an energy storage device, the system comprising at least one energy storage device, wherein the SOC management system of the energy storage device manages SOC of the energy storage device by performing P-f (active power-frequency) droop control on the basis of a droop coefficient, a reference frequency, and a dead band, which determine the output of each energy storage device.

A power identification device at least includes a measurement information acquisition unit for acquiring the amount of power generation by a power producer and the amount of power consumption by a consumer respectively as measurement information, a rule management unit for managing a generation rule for generating attribute information, a distribution rule and a loss rule for distributing the attribute information to the consumer, the attribute information containing a primary attribute related to each of the amount of power generation and the amount of power consumption and an additive attribute related to the amount of power generation, an attribute computation unit for generating the attribute information from the measurement information based on the generation rule and distributing the attribute information from the power producer to the consumer based on the distribution rule and the loss rule, and an attribute output (visualization) unit for outputting the attribute information to the outside.

A power identification device at least includes a measurement information acquisition unit for acquiring the amount of power generation by a power producer and the amount of power consumption by a consumer respectively as measurement information, a rule management unit for managing a generation rule for generating attribute information, a distribution rule and a loss rule for distributing the attribute information to the consumer, the attribute information containing a primary attribute related to each of the amount of power generation and the amount of power consumption and an additive attribute related to the amount of power generation, an attribute computation unit for generating the attribute information from the measurement information based on the generation rule and distributing the attribute information from the power producer to the consumer based on the distribution rule and the loss rule, and an attribute output (visualization) unit for outputting the attribute information to the outside.

An energy management system of the present invention can measure and integrate a power consumption amount of each device, can integrate and monitor regional total power consumption amounts, and allows energy to be effectively used by collecting, analyzing, storing and transmitting a use pattern and data through the Internet of Things (IoT) between devices and completely and automatically cutting off and controlling the power to be wasted in a device when the device is not used. The energy management system remotely controls devices and allows energy to be effectively managed through the minimization of power consumption by automatically and completely cutting off the power to be supplied to the devices when the devices are not used, and by cutting off the power to be supplied to the system when the power of all the devices connected to the system is cut off and when the system is in standby.

In one embodiment, a system includes a processor. The processor is configured to provide for time synchronization between execution of a power production modeling and simulation system (PPMSS) model and a power distribution modeling and simulation system (PDMSS) model, wherein the PPMSS model comprises a power production system simulation and wherein the PDMSS model comprises a power distribution system simulation.

An in-cable control box (ICCB) mounted on an electric vehicle (EV) charging cable, which performs conductive charging for an EV as connected to a power outlet and an inlet of the EV, includes at least one processor, a first communication module, a second communication module, and a memory storing instructions executed by the at least one processor. Also, the instructions are configured to cause the first communication module to collect information on an EV by communicating with an electric vehicle communication controller (EVCC) of the EV; and cause the second communication module to transmit the information on the EV to a supply equipment communication controller (SECC). As such, it is possible to charge the EV in an economical manner as compared to a standard defining conductive charging process.

An in-cable control box (ICCB) mounted on an electric vehicle (EV) charging cable, which performs conductive charging for an EV as connected to a power outlet and an inlet of the EV, includes at least one processor, a first communication module, a second communication module, and a memory storing instructions executed by the at least one processor. Also, the instructions are configured to cause the first communication module to collect information on an EV by communicating with an electric vehicle communication controller (EVCC) of the EV; and cause the second communication module to transmit the information on the EV to a supply equipment communication controller (SECC). As such, it is possible to charge the EV in an economical manner as compared to a standard defining conductive charging process.