A power management system including a management apparatus configured to assign divided computation processing constituting at least a part of predetermined computation processing to a distributed computing device placed in a facility, wherein the management apparatus includes a receiver configured to receive a message including an information element indicating executability of computation processing by the distributed computing device, and a controller configured to perform assignment processing configured to assign the divided computation processing to the distributed computing device based on the executability of the computation processing.

Provided are an operation limit value management unit managing an operation limit value related to the power flow power of system equipment and a determination unit calculating the power flow state for each set time of the future of a power system based on load dispatching information including a power generation plan value, a predicted output value, and a predicted value of power demand and determining whether or not stable is each power flow state by comparison with the operation limit value. The determination unit sequentially changes the first output power of a first power source defined by the power generation plan value of the first power source and calculates each power flow state based on power including the changed first output power and a predicted value of the output of a second power source.

The present invention relates to a method for power balancing a power grid (10) having multiple phases (12:1,2 3) and a common ground (0). The power grid (10) is connected to at least one load (13, 17) causing a non-uniform power consumption between the multiple phases (12: 1, 2, 3) of the power grid (10). The method comprises: monitoring power provided to the power grid (10) in controller (18), storing available energy in the power grid (10) in an energy storage (16) using multiple inverters (I1, I2, I3), each inverter (I1, I2, I3) is connected between the energy storage (16) and each phase (12: 1, 2, 3) of the power grid (10), and redistributing power between phases (12: 1, 2, 3) based on power available in the energy storage (16) by controlling power flow through the inverters (I1, I2, I3) by the controller (18) based on the non-uniform power consumption.

The solar tent comprises a canopy tent with integrated solar panels into the roof of a medical tent design. This technology allows the tent to capture solar energy, and convert it into electrical energy which can then be used to power lights, medical devices, and other equipment. This technology is foldable and collapsible to allow the tent to be both deployed and stored rapidly. The solar tent helps medical professionals overcome the challenges of lack of sufficient electricity while operating from a canopy tent, in the face of COVID-19.

A method for operating a multi-level bridge power converter of an electrical power system connected to a power grid includes providing a plurality of switching devices of the power converter in one of a neutral point clamped topology or an active neutral point clamped topology, the plurality of switching devices including a first group and a second group of switching devices. The method also includes providing a multi-state deadtime for the first and second groups of switching devices that changes based on different state transitions of the power converter. Further, the method includes operating the first and second groups of switching devices according to the multi-state deadtime to allow the first group to switch differently than the second group during the different state transitions, thereby decreasing voltage overshoots on the first group during one or more of the different state transitions and providing safe transition between commutation states of the power converter.

A hybrid electrical power supply control system for providing electrical energy to at least one load. The load may alternate between a first low energy consuming operational modus and a second high energy consuming operational modus. The control system may include a first power source comprising at least one battery unit and a second power source comprising at least one energy harvesting unit and arranged to harvest and convert energy into Direct Current, DC, energy, and wherein the converted DC energy is stored in a charge collecting unit. The control system further includes an operational modus detecting unit and a power source switching unit, connected to the operational modus detecting unit and arranged to alternately connect the first power source and the second power source to the load.

A system and method provide integrated carbon-negative, geothermal-based, energy generation and storage. The embodiments produce dispatchable electricity at grid-scale by storing excess energy from the grid and generating its own energy. The excess energy may be taken from solar and wind sources. In one aspect, the subject technology is energy storage, energy generation, carbon utilization and sequestration, all in one. The technology has very high round-trip efficiency of storing energy and is carbon-negative which makes it far more sustainable than any competing energy storage technology.

Provided are a substation system including an energy storage device, a method of calculating capacity of the energy storage device, and a control apparatus for the same. The control apparatus may include a charge and discharge determination unit configured to determine a charge or discharge operation of an energy storage device based on whether a measured output value is within an output operation range; a forecast error determination unit configured to determine a ratio of a period in which the measured output value is out of the output operation range with respect to a total period; and a capacity determination unit configured to determine capacity of the energy storage device based on the ratio.

A method includes collecting energy resource data for the specific geographic location over a predetermined time period, calculating power curves and matrices for at least two energy technologies based on the collected energy resource data, estimating the potential of generated electric power over time of the at least two energy technologies based on the calculated power curves and matrices, the time period, and the characteristic parameters of each of the at least two energy technologies, simulating different base load and power variations based on the estimation of the potential generated electric power and different distribution of the electric power generation of the at least two energy technologies, identifying an optimal distribution of the at least two energy technologies by analyzing the base load and power variations for each simulation, and choosing the distribution of the electric power generation with the highest base load and lowest power variation.

An abnormality determination system includes a power generation amount measurement unit that measures a power generation amount of the photovoltaic facility; a data acquisition unit that acquires data of a solar radiation amount; a calculation unit that divides a summed value of the power generation amount per day by a summed value of the solar radiation amount per day to calculates a division value; and a data accumulation unit that accumulates a combination of the power generation amount and the solar radiation amount, or the division value, and is configured to determine that there is an abnormality based on a slope of the division values.