Examples relate to adjusting load power consumption based on a power option agreement. A computing system may receive power option data that is based on a power option agreement and specify minimum power thresholds associated with time intervals. The computing system may determine a performance strategy for a load (e.g., set of computing systems) based on a combination of the power option data and one or more monitored conditions. The performance strategy may specify a power consumption target for the load for each time interval such that each power consumption target is equal to or greater than the minimum power threshold associated with each time interval. The computing system may provide instructions the set of computing systems to perform one or more computational operations based on the performance strategy.

Disclosed herein is a method and system for sharing power or energy across various power supply and control modules. More specifically, disclosed herein are systems and methods for distributing energy. As explained herein, the method discloses receiving, at a microgrid, data from a plurality of data sources. The data is then analyzed to forecast power needs associated with the microgrid. Using the data, the microgrid may determine whether and when to share power with the requesting module.

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.

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.

The present invention relates to a dual controller system for analyzing a control signal received from two dual controllers, both of which operate in an active state, to check whether an error occurs in the controllers and to perform operation with a controller in a normal state. A dual controller system according to the present invention includes a plurality of lower-layer modules performing respective functions, and first and second controllers for controlling each of the plurality of lower-layer modules, wherein the first and second controllers transmit control signals to the plurality of lower-layer modules, and the lower-layer modules determine whether an error occurs in the two received control signals, remove an erroneous control signal and perform a function according to a normal control signal.

Systems and methods for automatically selecting actions to take on a utility grid to simultaneously reduce uncertainty while selecting actions that improve one or more effectiveness metrics. Grid action effects are represented as confidence intervals, the overlap of which is used as a weight when selecting actions within a constrained search space of grid actions. The response of the utility grid to the grid actions may be measured and parsed by the temporal and spatial reach of the grid action, then used to update the confidence intervals for that particular selected grid action.

A method for distributing energy in a home energy management system including a central unit, at least one energy source and at least one energy consumer that are interconnected to exchange information. According to the method, the central unit generates information containing a first price information element and a first energy quantity information element for a predefined time period; the central unit transfers the information to the energy consumer; the energy consumer, taking account of the information, determines requirement information containing at least one requested energy quantity for the predefined time period; the energy consumer transfers the requirement information to the central unit; the central unit checks whether, at any given time, the total requested energy quantity determined from the transferred requirement information exceeds the energy quantity available at this time; and the central unit transfers confirmation information to the energy consumer or the method is carried out again.

Systems and methods for managing power on an electric power grid including a server for communicating IP-based messages over a network with distributed power consuming devices and/or power supplying devices, the IP-based messages including information relating to activities by the power consuming devices and/or the power supplying devices; and wherein the information is transformed by the system into settlement grade data corresponding to the activities of the power consuming devices and/or the power supplying devices.

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.

Systems and apparatuses are provided in which outlets are coupled to a power distribution unit (PDU) or PDU module in various configurations. The outlets may be coupled to a recessed surface within a PDU housing. The outlets and recessed surface may be formed as part of a single mold. The outlets may be coupled to a printed circuit board that is at least partially disposed within the PDU housing. The outlets may extend away from the recessed surface or printed circuit board towards or beyond a front face of the PDU housing.