The present disclosure provides a method and a system for estimating capacity and usage pattern of behind-the-meter energy storage in electric networks. Conventional techniques on estimating an effective capacity of behind-the-meter energy storage of a consumer, in presence of distributed energy generation units is limited, computationally intensive and provide inaccurate prediction. The present disclosure provides an accurate estimate of the effective capacity and usage pattern of behind-the-meter energy storage of a target consumer utilizing data samples received from a utility in presence of one or more distributed energy generation units, using an energy balance equation with less computation and accurate prediction. Based on accurate estimation of the effective capacity and usage pattern, the utility may plan for proper infrastructure to meet power demands of the consumers.

A multimodal converter for use in electric vehicle charging stations for interfacing between at least one AC source and two DC sources (including the electric vehicle with onboard DC traction accumulator). The multimodal converter may also be applicable to other uses with a multitude of energy sources. For example, where the multimodal converter AC interface is for an electric motor, such as in a plug-in electric vehicle, an electric power tool, an electric water pump, a wind turbine, or the like, or interfacing with any DC sources such as an electrical battery apparatus, a solar panel array, a DC generator, or the like, whether for private, commercial or other use.

Techniques for performing an emissions demand response event are described. In an example, a cloud-based HVAC control server system obtains a history of emissions rates. Based on the history of emissions rates, a future time period of predicted high emissions is identified. An emission demand response event participation level of an account mapped to a thermostat is determined for the future time period of predicted high emissions. The emissions demand response event participation level may be one of a plurality of emissions demand response event participation levels. based on the emissions demand response event participation level of the account, an emissions demand response event is generated during the future time period of predicted high emissions. The cloud-based HVAC control server system then causes a thermostat to control an HVAC system in accordance with the generated emissions demand response event.

Electrical systems for connecting rotary electric machines with gas turbine spools are provided. One such electrical system comprises: a first rotary electric machine mechanically coupled with a first gas turbine spool and a second rotary electric machine mechanically coupled with a second gas turbine spool, each said electric machine having an identical even number N≥4 of phases, each phase having a respective index n=(1, . . . , N), and each phase comprising an identical number P≥1 of coils wound in a P-plex configuration in which adjacent phases are radially separated by 2π/NP mechanical radians; a first set of N bidirectional converter circuits for conversion of alternating current (ac) to and from direct current (dc), each converter circuit having a respective index n and being connected with the P coils in the nth phase of the first rotary electric machine; and a second set of N bidirectional converter circuits for conversion of ac to and from dc, each converter circuit having a respective index n and being connected with the P coils in the nth phase of the second rotary electric machine. For all n, a dc side of the nth converter circuit in said first set is connected with a dc side of the nth converter circuit in said second set to facilitate dc power transfer between the first gas turbine spool and the second gas turbine spool.

A distributed energy resource (DER) device is coupled to a utility meter in a “behind-the-meter” configuration. The utility meter analyzes a commitment generated by the DER device to determine a specific operation performed by the DER device at a particular time. The utility meter analyzes metrology data to identify an “event” associated with the particular time and then attempts to map the identified event back to the DER device based on a library of events associated with different DER devices. The utility meter also attempts to map the identified event to the specific operation set forth in the commitment. If the utility meter can successfully map the identified event to both the DER device and to the specific operation set forth in the commitment, then the utility meter generates a validated commitment. The validated commitment can be used to facilitate an energy market settlement process.

Systems and techniques for solar energy management are described. A described system includes circuitry to determine a solar power generation value based on a power output of a solar power generator configured to supply electricity to a plurality of devices associated with a property; circuitry to determine a power consumption value of the plurality of devices; and a controller configured to determine a power status based on the solar power generation value and the power consumption value. The controller can be configured to selectively enable additional power consumption among the plurality of devices to an extent of the solar power generation value based on the power status indicating a power surplus state. The controller can be configured to selectively reduce power consumption among the plurality of devices based on the power status indicating a power deficit state.

A power management system includes a plurality of power adjustment resources electrically connected to a microgrid MG, and a CEMS server that manages the power adjustment resources. The CEMS server outputs a power adjustment request to a plurality of power adjustment resources when suppression of power consumption or consumption of surplus power is requested in the microgrid MG, and gives an incentive to the power adjustment resource that performs power adjustment in response to the power adjustment request among the power adjustment resources. The CEMS server increases the incentive more as a deviation of a second power amount adjusted by a responding resource with respect to a first power amount requested for adjustment by the power adjustment request is smaller.

A power management system includes a plurality of power adjustment resources electrically connected to a microgrid MG, and a CEMS server that manages the power adjustment resources. The CEMS server outputs a power adjustment request to the power adjustment resources when suppression of power consumption or consumption of surplus power in the microgrid MG is requested, and gives an incentive to a “responding resource” as the power adjustment resource that performs power adjustment in response to the power adjustment request among the power adjustment resources. The CEMS server increases the incentive more as a deviation of a time period during which the power adjustment is performed by the responding resource, with respect to a time period determined in the power adjustment request is smaller.

A control apparatus comprises: a first acquisition unit configured to acquire information indicating charging and discharging performance of an electric power device and environmental information on the electric power device; a second acquisition unit configured to acquire information indicating a characteristic of operation of charging and discharging the electric power device; a correction unit configured to correct the information indicating the charging and discharging performance of the electric power device on the basis of the environmental information; and a control unit configured to control the operation of charging and discharging the electric power device according to a management plan, the management plan being based on the information indicating the charging and discharging performance corrected by the correction unit and the information indicating the characteristic of the operation of charging and discharging the electric power device.

An autonomous real-time remedial action scheme (RAS) control system may receive electrical measurements of a power system. The RAS control system may determine active power and reactive power of each bus in the power system based on the received electrical measurements. The RAS control system may dynamically determine whether to shed one or more loads, generators, or both in the power system by optimizing an objective function to maintain maximum critical load and maximum critical generation in the electrical system based on the active and reactive power of each bus in the power system and the generation of each generator in the power system. The RAS control system may send a command to trip at least one breaker to cause the at least one breaker to shed the one or more loads, generators, or both. The RAS control system may send a command to runback one or more generators.