A line module for use in a network device includes a plurality of circuits; and a power module connected to the plurality of circuits, and to a first Power Distribution Unit (PDU) and a second PDU, wherein the first PDU and the second PDU provide power distribution by different feeds, wherein the power module is configured to initiate a shutdown procedure when one or more of i) a current drawn from any feed equals or exceeds a first current threshold, and ii) an aggregate current drawn from all feeds equal or exceeds a second current threshold.

A power distribution and control system for use with a bulk generation system having transmission and distribution systems, the power distribution and control system including a plurality of microgrids each including a power generation element and a load, a plurality of microgrid controllers each associated with one and only one of the plurality of microgrids, and a first communication network. A high-level controller is operable using the first communication network to communicate with the bulk generation system and each of the plurality of microgrid controllers, the high-level controller operable to coordinate the operation of the microgrids during normal system operation. A second communication network is separate from the first communication network, the second communication network providing peer to peer communication between each of the plurality of microgrid controllers when at least one of the high-level controller and the first communication network is not available, and a plurality of third communication networks provide communication between one of the plurality of microgrid controllers and at least one of the power generation element and the load associated with that microgrid controller.

A computer-implemented method and system is provided. The system adaptively switches prediction strategies to optimize time-variant energy demand and consumption of built environments associated with renewable energy sources. The system analyzes a first, second, third, fourth and a fifth set of statistical data. The system derives of a set of prediction strategies for controlled and directional execution of analysis and evaluation of a set of predictions for optimum usage and operation of the plurality of energy consuming devices. The system monitors a set of factors corresponding to the set of prediction strategies and switches a prediction strategy from the set of derived prediction strategies. The system predicts a set of predictions for identification of a potential future time-variant energy demand and consumption and predicts a set of predictions. The system manipulates an operational state of the plurality of energy consuming devices and the plurality of energy storage and supply means.

Systems and methods regarding distributed energy resource systems (DERs) are described. Configurations and employed methods may include sending a command to a DER system to place the DER system in one or more of a charge state, a discharge state, an idle state, or a reactive power state. These DER systems may include an energy storage circuit, a dc/ac converter configured to receive a DC voltage from the storage circuit and convert the received DC voltage for receipt by an external AC circuit, and one or more controllers configured to designate operation state of the storage circuit in at least a charge state, a discharge state, and an idle state.

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.

To ensure the safety of people needing to service a low-voltage network of an electric power distribution system, the dwellings connected to this network may include autonomous units for producing electricity (PV1, . . . , PVn), thus generating voltage and endangering the people servicing the work. A step is therefore provided for obtaining first data from consumption records from the meter (C1, . . . , Cn) of each dwelling, in regular time intervals, and second data (MET) which are meteorological data in the geographical area of these dwellings, in order to identify at least some weather conditions conducive to the production of energy by autonomous units. A model is then applied for detecting, based on the first and second data, a coincidence between periods of lower consumption measured by a meter and weather conditions conducive to electricity production by autonomous units during these periods. Information on the presence or absence of autonomous units in the dwelling equipped with this meter is thus deduced, this information being stored in a database (MEM) with a corresponding dwelling identifier, and the dwellings likely to include autonomous units are thus identified in the database.

A solar panel is disclosed that can be daisy-chained with other solar panels. The solar panel automatically generates output alternative current (AC) power that is in parallel with input AC power coming into the solar panel when the solar panel senses the input AC power so that the solar panel operates as a slave in this state. The solar panel automatically generates standalone AC output power when the solar panel fails to detect input AC power coming into the solar panel where the solar panel operates as a master in this state. The solar panel generates the standalone output AC power without any reliance on input AC power generated by a utility grid and/or other AC power sources external to the solar panel.

The present disclosure is directed to energy storage and supply management system. The system may include one or more of a control unit, which is in communication with the power grid, and an energy storage unit that stores power for use at a later time. The system may be used with traditional utility provided power as well as locally generated solar, wind, and any other types of power generation technology. In some embodiments, the energy storage unit and the control unit are housed in the same chassis. In other embodiments, the energy storage unit and the control unit are separate. In another embodiment, the energy storage unit is integrated into the chassis of an appliance itself.

Systems and methods for intelligent transfer and management of power maintain a continuous and cost efficient supply of power to electrical loads in a residential or commercial unit when different energy resources such as utility, backup generators, energy storage systems and distributed energy resources (e.g. solar and wind) are available.

A hierarchical power control system associated with a cloud server includes a first microgrid cell, a second microgrid cell, a third microgrid cell, a middleware server, and an integrated control system. The first microgrid cell includes a first energy storage system (ESS) having an uninterruptible power supply (UPS) structure and a first load having a power state managed by the first energy storage system (ESS). The second microgrid cell includes a second load and a second energy storage system (ESS) for managing a power state of the second load. The third microgrid cell includes a third load. The middleware server communicates with the first to third microgrid cells. The integrated control system receives power supply-demand state information of the first to third microgrid cells through the middleware server, and establishes an integrated operation schedule based on the received power supply-demand state information of the first to third microgrid cells.