A system and method for supplying uninterruptible power includes a housing, a power supply input for a DC power source, a power source equipment input, a powered device output, an alternative power supply, a control module, and a power source equipment extension. The control module includes a comparator, a switch, a line filter and protector and an injector. The injector includes a regulator and PoE power management module. The alternative power supply includes a plurality of battery packs in series. The system can be located at a remote location with only DC power sources, such as generators, batteries, and solar cells.

A power supply system is provided. The power supply system includes at least one uninterruptible power supply (UPS), a catcher system including at least one catcher UPS, at least one static transfer switch (STS), each STS electrically coupled between an associated UPS and an associated load, each STS further electrically coupled between the catcher system and the associated load, and each STS operable to selectively switch between supplying power to the associated load from the associated UPS and supplying power to the associated load from the catcher system. The power supply system further includes a first communications channel communicatively coupling the at least one UPS to the catcher system, and at least one second communications channel, wherein each STS is communicatively coupled to the associated UPS by a second communications channel of the at least one second communications channel.

An energy optimization system for a building includes a processing circuit configured to provide a first bid including one or more first participation hours and a first load reduction amount for each of the one or more first participation hours to a computing system. The processing circuit is configured to operate one or more pieces of building equipment based on one or more first equipment loads and receive one or more awarded or rejected participation hours from the computing system responsive to the first bid. The processing circuit is configured to generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads based on the one or more awarded or rejected participation hours and operate the one or more pieces of building equipment based on the one or more second equipment loads.

An energy monitoring system is provided including an inductive clamp associated with an electric circuit and configured to measure current load of the electric circuit and an energy monitoring device. The energy monitoring device comprises a processor and a memory including computer program code, the memory and the computer programming code configured to, with the processor, cause the monitoring device to receive circuit data including the measured current from the inductive clamp, determine a Power Set for one or more intermittent loads associated with the electric circuit based at least in part on the circuit data, determine a solution for the circuit data based on determined Solution Sets of the Power Set, and determine an energy usage for an appliance based on the solution.

Apparatuses including power electronics circuitry are provided. The power electronics circuitry includes at least one power converter that is coupled to a DC bus. Moreover, in some embodiments, the at least one power converter is configured to regulate a voltage of the DC bus. Related methods of operating an apparatus including power electronics circuitry are also provided.

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.

A method of controlling discharge of a holdup capacitor in a power system having a voltage source, a holdup capacitor and a load. The method including operably connecting the voltage source to the load, monitoring a first voltage of the voltage source, and if the first voltage of the voltage source drops below a selected threshold, directing energy from the holdup capacitor to the load via a first path, and directing energy from the holdup capacitor to the load via a second path if a selected condition is satisfied.

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.

A smart meter system is described for managing demand side electrical transactions with shifted demand in a smart grid. The smart meter controller uses non-cooperative game theoretic analysis for managing multi-periodic smart grid shifted demand. The problems of user based electricity demand, production, storage, and sales of energy to providers are addressed. The smart meter system described is used in the control of Home-Area-Network (HAN) or Wide-Area-Network (WAN) demand response management (DRM).

The present disclosure relates to a hierarchical type power control system. The hierarchical type power control system connected to a cloud server includes: a first microgrid cell including a first energy storage system (ESS) having an uninterruptible power supply (UPS) structure and a first load that a power state thereof is managed by the first ESS; a second microgrid cell including a second load and a second ESS managing a power state of the second load; a third microgrid cell including a third load; a middleware server communicating with the first to third microgrid servers; and an integrated control system communicating the middleware server and integrally controlling power supply states of the first to third microgrid cells, wherein the first microgrid cell and the second microgrid cell are connected to each other through a converter to interchange power therebetween.