H02P9/04

CONVERTING VARIABLE RENEWABLE ENERGY TO CONSTANT FREQUENCY ELECTRICITY BY A VOLTAGE REGULATED SPEED CONVERTER, A VOLTAGE-CONTROLLED MOTOR GENERATOR SET OR A VOLTAGE CONVERTER
20230011200 · 2023-01-12 ·

A river, tidal, wave or ocean current turbine, a wind turbine or a solar panel harnesses an optimum value of renewable energy from variable water flow or wind flow or from electromagnetic energy from sunlight harnessed by photovoltaic conversion to electricity. A harnessing module comprising a propeller facing, for example, water or wind flow and a generator driven by the propeller, thus may harness variable electric power from water (or wind) renewable energy and may be preferably connected to feedforward electricity source and preferably a feedback variable electrical load to an electrical voltage regulator apparatus of a land module and to a motor generator set or voltage converter by a flexible electrical cable for receiving a variable rotational speed converted to variable electrical frequency, the voltage regulator automatically providing a predetermined minimum electrical power/voltage output at constant frequency to the motor generator set or a voltage converter and output at constant frequency to a constantly varying grid load. The variable electrical input from harnessing modules is delivered to the voltage regulator and converted to a constant electrical frequency by the motor generator set. In alternative embodiments, the voltage regulator is replaced by a voltage regulator in series with a servo motor and a variable voltage transformer and, in a third embodiment, the voltage regulator is replaced by a power converter.

CONVERTING VARIABLE RENEWABLE ENERGY TO CONSTANT FREQUENCY ELECTRICITY BY A VOLTAGE REGULATED SPEED CONVERTER, A VOLTAGE-CONTROLLED MOTOR GENERATOR SET OR A VOLTAGE CONVERTER
20230011200 · 2023-01-12 ·

A river, tidal, wave or ocean current turbine, a wind turbine or a solar panel harnesses an optimum value of renewable energy from variable water flow or wind flow or from electromagnetic energy from sunlight harnessed by photovoltaic conversion to electricity. A harnessing module comprising a propeller facing, for example, water or wind flow and a generator driven by the propeller, thus may harness variable electric power from water (or wind) renewable energy and may be preferably connected to feedforward electricity source and preferably a feedback variable electrical load to an electrical voltage regulator apparatus of a land module and to a motor generator set or voltage converter by a flexible electrical cable for receiving a variable rotational speed converted to variable electrical frequency, the voltage regulator automatically providing a predetermined minimum electrical power/voltage output at constant frequency to the motor generator set or a voltage converter and output at constant frequency to a constantly varying grid load. The variable electrical input from harnessing modules is delivered to the voltage regulator and converted to a constant electrical frequency by the motor generator set. In alternative embodiments, the voltage regulator is replaced by a voltage regulator in series with a servo motor and a variable voltage transformer and, in a third embodiment, the voltage regulator is replaced by a power converter.

Control apparatus, control method, and non-transitory computer readable medium

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.

Control apparatus, control method, and non-transitory computer readable medium

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.

Self-Sustaining Electricity Generation System
20220399797 · 2022-12-15 ·

This invention is a self-sustaining, primary source of electricity for residential use, electric vehicle (EV) integration for automated self-charging, and various mobile applications. An electric motor mechanically turns compactly arranged AC PM generator rotor shafts by the use of a belt and pulley system. The electrical output of the AC PM generators is stored in an external 48V primary battery system which, in turn, provides power to the electric motor. A programmable system controller monitors the state of charge of the 48V primary battery system and other electrical components and automatically powers or stops the electric motor according to programmed upper and lower limits. The programmable system controller monitors all functions of the generator system and performs necessary actions to perpetuate operation of the self-sustaining electricity generation system.

Self-Sustaining Electricity Generation System
20220399797 · 2022-12-15 ·

This invention is a self-sustaining, primary source of electricity for residential use, electric vehicle (EV) integration for automated self-charging, and various mobile applications. An electric motor mechanically turns compactly arranged AC PM generator rotor shafts by the use of a belt and pulley system. The electrical output of the AC PM generators is stored in an external 48V primary battery system which, in turn, provides power to the electric motor. A programmable system controller monitors the state of charge of the 48V primary battery system and other electrical components and automatically powers or stops the electric motor according to programmed upper and lower limits. The programmable system controller monitors all functions of the generator system and performs necessary actions to perpetuate operation of the self-sustaining electricity generation system.

AC bus tie contactor input into rat auto-deploy

A system includes a first AC bus configured to supply power from a first generator. A first generator line contactor (GLC) selectively connects the first AC bus to the first generator. A second AC bus is configured to supply power from a second generator. A second GLC selectively connecting the second AC bus to the second generator. An auxiliary generator line contactor (ALC) is connected to selectively supply power to the first and second AC buses from an auxiliary generator. A first bus tie contactor (BTC) electrically connects between the first GLC and the ALC. A second BTC electrically connects between the ALC and the second GLC. A ram air turbine (RAT) automatic deployment controller is operatively connected to automatically deploy a RAT based on the combined status of the first GLC, the second GLC, the ALC, the first BTC, and the second BTC.

AC bus tie contactor input into rat auto-deploy

A system includes a first AC bus configured to supply power from a first generator. A first generator line contactor (GLC) selectively connects the first AC bus to the first generator. A second AC bus is configured to supply power from a second generator. A second GLC selectively connecting the second AC bus to the second generator. An auxiliary generator line contactor (ALC) is connected to selectively supply power to the first and second AC buses from an auxiliary generator. A first bus tie contactor (BTC) electrically connects between the first GLC and the ALC. A second BTC electrically connects between the ALC and the second GLC. A ram air turbine (RAT) automatic deployment controller is operatively connected to automatically deploy a RAT based on the combined status of the first GLC, the second GLC, the ALC, the first BTC, and the second BTC.

Power control method and apparatus for wind power generator

A power control method and apparatus for a wind power generator. The power control method comprises: predicting, according to historical wind resource data, wind resource data within a predetermined future time period (S10); estimating, according to the remaining design lifetime of a wind power generator, the maximum design lifetime allowed to be consumed within the predetermined future time period (S20); determining, according to the predicted wind resource data and the estimated maximum design lifetime, optimal output powers of the wind power generator in respective wind velocity ranges within the predetermined future time period (S30); and controlling operation of the wind power generator according to the determined optimal output powers of the wind power generator in the respective wind velocity ranges within the predetermined future time period (S40).

Method and apparatus for cooperative controlling wind turbines of a wind farm

Provided is an apparatus and method for cooperative controlling wind turbines of a wind farm, wherein the wind farm includes at least one pair of turbines aligned along a common axis approximately parallel to a current wind direction and having an upstream turbine and a downstream turbine. The method includes the steps of: a) providing a data driven model trained with a machine learning method and stored in a database, b) determining a decision parameter for controlling at least one of the upstream turbine and the downstream turbine by feeding the data driven model with the current power production of the upstream turbine which returns a prediction value indicating whether the downstream turbine will be affected by wake, and/or the temporal evolvement of the current power production of the upstream turbine; c) based on the decision parameter, determining control parameters for the upstream turbine and/or the downstream turbine.