A pool automation system is connectable with one or more pieces of equipment associated with a swimming pool or spa. The pool automation system may receive a demand event with a requested load reduction, and the pool automation system may determine a demand response for the one or more pieces of equipment associated with the swimming pool or spa based on the demand event and based on information gathered by the pool automation system about the at least one piece of equipment. The demand response may be based on a prioritization of the one or more pieces of equipment associated with the swimming pool or spa. The pool automation system may implement control of the one or more pieces of equipment associated with the swimming pool or spa responsive to the demand event.

A battery pack includes a housing, a plurality of rechargeable battery cells, a connection interface, a near-field communication (NFC) reader, a battery management system, and a communication gateway. The connection interface is in communication includes a plurality of data pins, a positive terminal, and a negative terminal. The battery management system is in communication with the NFC reader and is configured to receive information from the NFC reader including an NFC tag identification, then retrieve stored parameters corresponding to the NFC tag identification, and configure at least one of the plurality of data pins based upon the stored parameters corresponding to the NFC tag identification.

A master electronic apparatus, an electronic apparatus, and a controlling method thereof where the master electronic apparatus includes a communication interface and a processor. The processor receives first data and second data regarding predicted power consumption amounts corresponding to respective tasks of a first electronic apparatus and a second electronic apparatus, calculates summed-up values of the predicted power consumption amounts for respective times, and compares the summed-up values with instantaneous power amount limits for the respective times. The processor, based on the summed-up values being smaller than the instantaneous power amount limits, transmits a task approval signal to the second electronic apparatus, and based on identifying a time a summed-up value is greater than or equal to the instantaneous power amount limit, transmits a control signal controlling an operation in the identified time to at least one of the first electronic apparatus and the second electronic apparatus based on priorities.

In some examples, an electrical power system includes a power source and a load modulator configured to receive power from the power source and to deliver power to a load zone. The electrical power system also includes a controller configured to determine a software-controlled power flow limit for the load zone. The controller is further configured to receive information indicating the power delivered to the load zone and to cause the power delivered to the load zone to remain below the software-controlled power flow limit.

A method for reducing and/or managing energy-related stress in an electrical system includes processing electrical measurement data from or derived from energy-related signals captured by at least one intelligent electronic device (IED) in the electrical system to identify and track at least one energy-related transient in the electrical system. An impact of the at least one energy-related transient on equipment in the electrical system is quantified, and one or more transient-related alarms are generated in response to the impact of the at least one energy-related transient being near, within or above a predetermined range of the stress tolerance of the equipment. The transient-related alarms are prioritized based in part on at least one of the stress tolerance of the equipment, the stress associated with one or more transient events, and accumulated energy-related stress on the equipment. One or more actions are taken in the electrical system in response to the transient-related alarms to reduce energy-related stress on the equipment in the electrical system.

A power management system obtains first data regarding several groups of electrical devices, including a budget and a respective priority metric associated with each of the groups. The system allots a respective amount of electrical power for use by each of the groups based on the first data. Further, the system obtains second data regarding the groups, including a respective amount of electrical power consumed by each of the groups. The system determines that a first group has consumed a first amount of electrical power that is greater than or equal to a second amount of electrical power that had been allotted for use by the first group. In response, the system re-allots at least a portion of a third amount of electrical power that had been allotted for use by a second group for use by the first group instead.

Provided are a method and apparatus for dynamically controlling electrical loads, a storage medium and an electronic apparatus. The method includes that: a current capacity balance of a user sub-region is acquired from an intelligent electricity monitoring and metering terminal through a mobile terminal; when the current capacity balance is smaller than a load power of an electric consumption device to be started in the user sub-region, a regional coordination control apparatus or a server is requested through the mobile terminal to adjust and increase a capacity allocated for the user sub-region, such that a capacity balance will be greater than or equal to the load power; and whether to allow to start the electric consumption device is determined according to a decision replied by the regional coordination control apparatus or the server.

A frequency stabilization arrangement for a power transmission grid has a modular multi-level converter with a first terminal for electrical connection to a power transmission grid, and an electrical resistor unit with a second terminal for electrical connection to the power transmission grid.

The present disclosure provides techniques for estimating network states using asynchronous measurements by leveraging network inertia. For example, a device configured in accordance with the techniques of the present disclosure may receive electrical parameter values corresponding to at least one first location within a power network and determine, based on the electrical parameter values and a previous estimated state of the power network, an estimated value of unknown electrical parameters that correspond to a second location within the power network. The device may further cause at least one device within the power network to modify operation based on the estimated value of the unknown electrical parameters. The leveraging of network inertia may obviate the need for probabilistic models or pseudo-measurements.

A rapidly deployable modular microgrid including a plurality of renewable and other energy generation technologies, energy storage technologies, energy distribution networks, and intelligent control systems capable of managing the flow of electrical energy between one or more locations of energy generation, storage, and consumption are disclosed. The aforementioned microgrid may be delivered and rapidly deployed to provide primary or secondary electricity for a variety of purposes; including but not limited to household electrification, commercial or industrial productivity, grid resiliency, water pumping, telecommunication systems, medical facilities, and disaster relief efforts.