Patent classifications
Y02E10/76
Grid forming power supply plant and method
The present invention relates to a method and plant of operating a grid forming power supply plant based on both a renewable energy, such as based on wind energy, solar energy, hydro energy, wave energy, and a carbon based energy, such as carbon based fuel. The grid includes a power input connection from a renewable power supply system and a power input connection from an carbon fuel engine based generator set. The generator set includes an engine for converting the carbon-based energy into motion energy, a generator, such as an alternator, for converting the motion energy into electrical energy, and a clutch for coupling and uncoupling of the engine with the generator. The system also includes a power buffer, such as a battery, subsystem for providing short term grid forming capacity and a plant grid forming controller for controlling grid parameters by means of controlling steps of a method. The plant grid forming controller includes interaction means for interacting with a control unit of the renewable power supply system, interaction means for interacting with a power buffer control unit, and interaction means for interaction with a control unit of the generator set.
Reinforcement learning method and reinforcement learning system
A computer-implemented reinforcement learning method includes determining, based on a target probability of satisfaction of a constraint condition related to a state of a control object and a specific time within which a controller causes the state of the control object not satisfying the constraint condition to be the state of the control object satisfying the constraint condition, a parameter of a reinforcement learner that causes, in a specific probability, the state of the control object to satisfy the constraint condition at a first timing following a second timing at which the state of control object satisfies the constraint condition; and determining a control input to the control object by either the reinforcement learner or the controller, based on whether the state of the control object satisfies the constraint condition at a specific timing.
SCALABLE SYSTEMS AND METHODS FOR ASSESSING HEALTHY CONDITION SCORES IN RENEWABLE ASSET MANAGEMENT
An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
Defined switch position in a wind farm prior to failure of the DC power supply
A method for controlling a wind power installation or a wind farm is provided. The method includes establishing that there is a grid fault within an electrical power supply grid operated by a grid operator and to which the wind power installation or the wind farm is electrically connected via a point of common coupling; switching electrical switches of the wind power installation or the wind farm using a control unit of the wind power installation or the wind farm which is operated by a low-voltage power supply, so that the wind power installation or the wind farm is voltage-free; testing an electrical store for ensuring the low-voltage power supply once the grid fault has been established; and switching further electrical switches of the wind power installation or the wind farm to a predefined switching state in which start-up of the wind power installation or the wind farm is possible.
Redundant flexible datacenter workload scheduling
Systems include one or more critical datacenter connected to behind-the-meter flexible datacenters. The critical datacenter is powered by grid power and not necessarily collocated with the flexible datacenters, which are powered “behind the meter.” When a computational operation to be performed at the critical datacenter is identified and determined that it can be performed more efficiently or advantageously at a flexible datacenter, the computational operation is instead obtained by the flexible datacenters for performance. The critical datacenter and flexible datacenters preferably share a dedicated communication pathway to enable high-bandwidth, low-latency, secure data transmissions. In some situations, a computational operation is supported by multiple datacenters in a redundant arrangement, such as multiple flexible datacenters.
A WIND POWER PLANT
The invention concerns a wind power plant comprising a plurality of wind turbines connected to a distribution line; a connection station comprising a plurality of switchgear devices connected to a substation via the distribution line; and, a plurality of power cables connecting the plurality of switchgear devices and the plurality of wind turbines. The plurality of power cables are respectively arranged to connect a single switchgear device of the plurality of switchgear devices and a single wind turbine of the plurality of wind turbines.
CONTROL CIRCUIT OF NPC-TYPE THREE-LEVEL CONVERTER, NPC-TYPE THREE-LEVEL CONVERTER AND WIND POWER GENERATOR SET
A control circuit for an NPC-type three-level converter is provided. Each phase bridge arm of the NPC-type three-level converter includes multiple IGBT devices. For each phase bridge arm, a control circuit corresponding to the phase bridge arm includes an off-time control circuit and a timing control circuit. The off-time control circuit is configured to reserve a preset time period for turn-off of the multiple IGBT devices in the corresponding phase bridge arm. The timing control circuit includes a first sub-circuit and a second sub-circuit, and each sub-circuit of the first sub-circuit and the second sub-circuit includes: a first fixed delay circuit, a second fixed delay circuit, a first AND gate circuit and a first OR gate circuit. For each sub-circuit, output terminals of the first AND gate circuit and the first OR gate circuit serve as output terminals of the timing control circuit, respectively.
Power flow control device and wind farm including a power flow control device
A wind farm for supplying electrical power into a supply grid. The farm includes wind power installations, a farm grid connecting the installations, and a power flow control device. The power flow control device is configured to connect the farm grid and the supply grid such that an electrical power generated by the installations can be supplied into the supply grid. The power flow control device has at least: a DC link configured to conduct at least the electrical power generated by the installations, an electrical energy store connected to the DC link, an inverter connected to the DC link and configured to inject at least the electrical power generated by the installations into the supply grid, and a controller configured to drive the inverter in such a way that the farm, at the supply grid, in the steady state appears to be dynamic like an electromechanical synchronous machine.
Grid-forming wind turbine control method for diode rectifier unit-based offshore wind power transmission system
A grid-forming wind turbine control method for a diode rectifier unit-based offshore wind power transmission system. A control system for controlling a grid-side converter has a three-layered structure, where a first layer is a combination of an active power controller and a reactive power controller; a second layer is a voltage controller; and a third layer is a current controller. The actual reactive power is represented by a per-unit value of a capacity of a corresponding wind turbine unit. The wind turbine units have the same reactive-power reference value, which is constant and does not change with time. The reactive power controllers of all wind turbine units have the same structure and parameters.
WING STABILIZER CHARGING SYSTEM
A system and methods are provided for a wing stabilizer charging system for recharging onboard batteries during operation of an electrically powered vehicle. The wing stabilizer charging system comprises a wing stabilizer configured to be coupled with a rear of the vehicle. One or more air inlets are disposed in the wing stabilizer and configured to receive an airstream during forward motion of the vehicle. Wind turbines are disposed within the wing stabilizer and configured to be turned by the airstream. A circuit box is configured to combine electricity received from the wind turbines into a useable electric current. A power cable extends from the circuit box and is configured to supply the useable electric current to any one or more electronic devices, such as any of an onboard battery for powering the vehicle, mobile phones or smart phones, portable music players, tablet computers, cameras, and the like.