The present invention discloses a method and device for formulating a coordinated action strategy of SSTS and DVR for voltage sag mitigation. The influence of voltage sag on a whole industrial process of a sensitive user is analyzed, and the sensitive loads of SSTS and DVR which satisfy a governance need are grouped; a practical governance scenario of installing a plurality of DVR is considered to install a minimum-capacity DVR to realize a target of a minimum interruption probability of the whole industrial process of the user; an optimal coordinated governance solution of SSTS and DVR based on sensitive load grouping is proposed; a classification result is obtained for duration time at a time when a voltage sag event occurs through a decision tree constructed based on historical data.

A power supply manager manages power utilization of a first uninterruptible power source and a second uninterruptible power source. A load balancing service retrieves information that is associated with a first power supply unit and a second power supply unit, and determines a first power source state associated with the first uninterruptible power source and a second power source state associated with the second uninterruptible power source. The service may also set the first power supply unit in an active mode based on the first power source state, and set the second power supply unit in a standby mode based on the second power source state. The service may also transition the first power supply unit from the active mode to standby mode, and the second power supply unit from standby mode to the active mode, based on a power imbalance.

A direct current power system. The direct current power system includes a direct current bus system, a solar power system, an energy storage system and a wind power system. The solar power system is configured to supply a first direct current power. The energy storage system has an input electrically coupled to the solar power system and is configured to supply a second direct current power at 380 volts to the direct current bus system. The wind power system includes is electrically coupled to the energy storage system and is configured to supply a third direct current power.

A method, system and apparatus are provided for optimized load shaping for optimizing production and consumption of energy. Information signals indicative of a first load shape signal are obtained corresponding to a total load, a renewable energy load of one or more renewable energy sources and a non-renewable energy load of one or more non-renewable energy sources. The first load shape signal corresponding to renewable energy load is removed from a non-renewable energy load to obtain a resulting load shape signal. The resulting load shape is flattened signal by apportioning the resulting load shape signal across time intervals to obtain a flattened load shape signal. At least a portion of the first component corresponding to the renewable energy load is added to the flattened load shape signal to create an optimized load shape signal. The optimized load shape signal is provided to modulate electric loads of energy-consuming devices.

An air conditioning device includes an alternating current (AC) bus, a direct current (DC) bus, a first AC/DC circuit, a first DC/AC circuit, and a backup power supply apparatus. The AC bus is connected to two power supplies through a switching circuit. The backup power supply apparatus is connected to the DC bus or the AC bus. The backup power supply apparatus provides electric energy for the DC bus or the AC bus when the two power supplies are switched or fail, so that the first air conditioning load is not powered off. The backup power supply apparatus may supply power to the load when the two power supplies are switched or fail.

An article of manufacture, a machine, process for using the articles and machines, processes for making the articles and machines, and products produced by the process of making, along with necessary intermediates, directed to assessing the energy consumption of networks, typically computer networks, and/or applications of assessments made thereby. Industrial applicability is representatively directed to energy consumption/conservation and efficiency, such as in networks, along with control and implementation therefrom, as well as in networking, control systems communications and related systems, receiver systems, and components used in assessing and carrying out the same.

A microgrid with a high voltage direct current (HVDC) source for efficiently and safely distributing power to decentralized loads includes: at least a main HVDC power supply connectable in input to an AC grid and in output to a main DC distribution network and loads system in output, the main HVDC power supply having energy reserve means and a main switch-based fault isolator or main FI, the main DC distribution network and loads system including: a maintrunk bus, and subtrunks buses and/or front end local loads cells connected in parallel to the maintrunk bus, and at each branching of a subtrunk bus and a load or of a subtrunk bus of rank n−1 and a subtrunk bus of rank n, a local switch-based fault isolator or local FI, n being an integer comprised in the range [1, N]. A smart main controller including microcontrollers for smart operation is also included.

A building manager includes a communications interface configured to receive information from a smart energy grid. The building manager further includes an integrated control layer configured to receive inputs from and to provide outputs to a plurality of building subsystems. The integrated control layer includes a plurality of control algorithm modules configured to process the inputs and to determine the outputs. The building manager further includes a fault detection and diagnostics layer configured to use statistical analysis on the inputs received from the integrated control layer to detect and diagnose faults. The building manager yet further includes a demand response layer configured to process the information received from the smart energy grid to determine adjustments to the plurality of control algorithms of the integrated control layer.

Systems and methods dynamically assess energy efficiency by obtaining a minimum energy consumption of a system, receiving in a substantially continuous way a measurement of actual energy consumption of the system, and comparing the minimum energy consumption to the measurement of actual energy consumption to calculate a substantially continuous energy performance assessment. The system further provides at least one of a theoretical minimum energy consumption based at least in part on theoretical performance limits of system components, an achievable minimum energy consumption based at least in part on specifications for high energy efficient equivalents of the system components, and the designed minimum energy consumption based at least in part on specifications for the system components.

According to one embodiment, an Information Technology (IT) power system for a data center. The system includes a utility power source, an IT cluster that includes a several pieces of IT equipment. The cluster is coupled to the source and is configured to draw power from the source and provide the drawn power to the pieces of IT equipment. The system also includes a photovoltaic (PV) system that includes a PV panel that is arranged to convert solar radiation into direct current (DC) power. It also may include a voltage sensor and a controller that are configured to decouple the cluster from the source and to couple the cluster to the PV system such that the cluster draws the DC power directly from the PV panel when the output voltage of the PV panel sensed by the voltage sensor exceeds a threshold value.