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.

A system and method for performing novel wind forecasting that is particularly accurate for forecasting over short-term time periods, e.g., over the next 1-5 hours. Such wind forecasting is particularly advantageous in wind energy applications. The disclosed method is anchored in a robust physical model of the wind variability in the atmospheric boundary layer (ABL). The disclosed method approach leverages a physical framework based on the unsteady dynamics of earth's atmosphere, and drives forecasting as a function of previously-observed atmospheric condition data observed at the same location for which a wind forecast is desired.

A method of controlling output levels of an MMC converter to reduce fluctuation in a power grid frequency, which adjusts an output level of the MMC converter in response to a change in a power grid frequency of a power grid system in the MMC converter connected to a grid system, is proposed. The method includes a detection step of detecting a power grid frequency of a grid connected to the MMC converter in real time, a comparison step of comparing the detected power grid frequency with a preset reference power grid frequency, and an adjustment step of adjusting a number of output levels of the MMC converter to reduce a difference between the detected power grid frequency and the reference power grid frequency when the detected power grid frequency and the reference power grid frequency are different from each other.

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 system for collaborative load balancing within a community of a plurality of energy nodes includes a central allocation server and a plurality of local agent servers. Each of the local agent servers is connected to a respective one of the energy nodes and has a processor configured to: receive input variables or parameters; predict, using the received input variables or parameters, a non-zero energy generation amount that power generation equipment can generate over a planning horizon and an energy consumption amount that will be consumed over the planning horizon; solve, using the energy generation amount and the energy consumption amount, an optimization problem over the planning horizon; and communicate a solution to the optimization problem to the central allocation server. Each of the energy nodes includes power generation equipment, power transmission equipment, and power storage equipment.

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.

Wind power generating equipment includes: a generator that is driven by a blade which rotates by receiving the wind; a power converter that converts an electric output of the generator such that the output is interconnected with an electric power system; a power converter controller that controls the power converter; and a wind turbine control board that transmits, to the power converter controller, an active power command value that is used as a command value of the electric output which is transmitted from the power converter. The power converter controller controls the output of the power converter in response to an active power command value, depending on a reduction amount of a system voltage when instantaneous reduction occurs in the system voltage interconnected with the wind power generating equipment. This permits stable operation of the wind power generating system when instantaneous voltage reduction occurs such as during a system abnormality.

Methods for implementing power delivery transactions between a buyer and a seller of electrical energy supplied to an electrical grid by an integrated renewable energy source (RES) and energy storage system (ESS) of a RES-ESS facility are provided. Estimated total potential output of the RES is compared to a point of grid interconnect (POGI) limit to identify potential RES overgeneration, and the buyer is charged if potential RES overgeneration is less than potential overgeneration during one or more retrospective time windows. The method provides a basis for the RES-ESS facility owner to be paid for an estimated amount of energy that did not get stored as a result of a grid operator not fully discharging an ESS prior to the start of a new day.

Embodiments concern a plant for melting and/or heating metal material and a corresponding method to supply electrical energy. The plant comprises at least one induction furnace (11) and means (12) for supplying electrical energy to the induction furnace 11), wherein the electric power supply means (12) comprise at least one transformer (13) connected to an alternating current mains power network (14), at least one rectifier (15) located downstream of the transformer (13), at least one converter (16) located downstream of the rectifier device (15), and at least one coil (17) for melting and/or heating metal material.

A method of protecting a converter of a wind turbine and a respective protection system are provided. The converter is coupled to a generator of the wind turbine to perform conversion of electrical power produced by the generator, the converter including plural semiconductor components that are operational to provide the conversion of the electrical power. The method includes the performing of a step of estimating a junction temperature of at least one of the semiconductor components by determining a current in the converter associated with power loss in one or more of the semiconductor components; estimating power loss associated with the one or more semiconductor components based on the determined current and on a state of the one or more semiconductor components; and using a thermal model to estimate the junction temperature of the semiconductor components based on the estimated power loss. The estimating step is repeatedly performed.