An energy offloading system is in direct electric communication with an energy supply and dynamically receives energy from the energy supply. The energy offloading system uses energy for high-load computations. The energy offloading system includes computers performing the high-load computations as well as servers, cooling units, and communication devices. When the energy from the energy supply is terminated, the energy offloading system may power down these and other devices, or may switch these devices to an alternative power source. The energy offloading system may be portable.

An energy offloading system is in direct electric communication with an energy supply and dynamically receives energy from the energy supply. The energy offloading system uses energy for high-load computations. The energy offloading system includes computers performing the high-load computations as well as servers, cooling units, and communication devices. When the energy from the energy supply is terminated, the energy offloading system may power down these and other devices, or may switch these devices to an alternative power source. The energy offloading system may be portable.

The present invention provides a power control circuit connectable to a load adapted to receive a power supply, the power control circuit adapted to absorb power from the power supply and adapted to deliver power to the power supply to stabilize at least one electrical parameter of the power supply. The present invention also provides an associated method of stabilizing at least one electrical parameter of a power supply connectable to a load, the method including absorbing power from the power supply or delivering power to the power supply. The at least one electrical parameter of the power supply includes parameters such as voltage and frequency.

A method predicts a grid state of an electrical power distribution grid, in which a central computer arrangement is used to receive measured values from measuring devices. A state estimation device is used to predict a future grid state, wherein the prediction of the future grid state is taken as a basis for ascertaining measures to guarantee stability of the power distribution grid. The prediction is made for multiple times within a predefined time window. A first prediction device is used to ascertain a prediction for a first portion of the multiple times on the basis of a voltage var control method, and in that a second prediction device is used to ascertain a prediction for a second portion of the multiple times on the basis of a neural network method.

A method predicts a grid state of an electrical power distribution grid, in which a central computer arrangement is used to receive measured values from measuring devices. A state estimation device is used to predict a future grid state, wherein the prediction of the future grid state is taken as a basis for ascertaining measures to guarantee stability of the power distribution grid. The prediction is made for multiple times within a predefined time window. A first prediction device is used to ascertain a prediction for a first portion of the multiple times on the basis of a voltage var control method, and in that a second prediction device is used to ascertain a prediction for a second portion of the multiple times on the basis of a neural network method.

A method for controlling a wind farm to damp low-frequency electrical oscillations, in particular subsynchronous resonances, in an electrical supply grid having a grid voltage with a nominal grid frequency is provided. The wind farm comprises at least one wind turbine connected to the electrical supply grid. The method includes sensing at least one low-frequency electrical oscillation of the electrical supply grid; determining an oscillation characteristic of each of the at least one sensed oscillation, the oscillation characteristic describing at least one property of the sensed oscillation; specifying an active-power damping signal and/or a reactive-power damping signal for damping the at least one low-frequency oscillation; feeding in an active power component in accordance with the active-power damping signal or a reactive power component in accordance with the reactive-power damping signal, the active-power damping signal and the reactive-power damping signal being specified in dependence on the determined oscillation characteristic.

A method for controlling a wind farm to damp low-frequency electrical oscillations, in particular subsynchronous resonances, in an electrical supply grid having a grid voltage with a nominal grid frequency is provided. The wind farm comprises at least one wind turbine connected to the electrical supply grid. The method includes sensing at least one low-frequency electrical oscillation of the electrical supply grid; determining an oscillation characteristic of each of the at least one sensed oscillation, the oscillation characteristic describing at least one property of the sensed oscillation; specifying an active-power damping signal and/or a reactive-power damping signal for damping the at least one low-frequency oscillation; feeding in an active power component in accordance with the active-power damping signal or a reactive power component in accordance with the reactive-power damping signal, the active-power damping signal and the reactive-power damping signal being specified in dependence on the determined oscillation characteristic.

An intelligent impedance injection module is for use with transmission lines in a power grid. The intelligent impedance injection module has a plurality of transformer-less impedance injector units and a controller. The controller changes injector gain of the impedance injector units to compensate for current swings in a transmission line.

An intelligent impedance injection module is for use with transmission lines in a power grid. The intelligent impedance injection module has a plurality of transformer-less impedance injector units and a controller. The controller changes injector gain of the impedance injector units to compensate for current swings in a transmission line.

A control apparatus 20 that is configured to control driving of a power generation apparatus including a motor and a power generator, the control apparatus including a processor 200 executing: a process of calculating a first adjustment force command value used for controlling the motor in accordance with a deviation between an observed value and a reference value of a rotation speed of the power generator; a process of calculating a correction value for compensating for a delay of an electric output of the power generator; and a process of calculating a correction value for compensating for a delay of an electric output of the power generator; and a process of calculating a second adjustment force command value used for controlling the motor by adding the first adjustment force command value and the correction value.