The present invention relates to a control unit for a converter, preferably of a power converter of a wind power installation, in particular of an active rectifier of a power converter of a wind power installation, comprising: a primary control module for specifying a setpoint value for the converter; a first secondary control module for controlling the converter, in particular a first converter module of the converter, which second secondary control module is configured to produce a first control signal according to the setpoint value; a second secondary control module for controlling the converter, in particular a second converter module of the converter, which converter module is connected in parallel with the first converter module, which second secondary control module is configured to produce a second control signal according to the first control signal.

An energy storage system converts variable renewable electricity (VRE) to continuous heat at over 1000° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. An array of bricks incorporating internal radiation cavities is directly heated by thermal radiation. The cavities facilitate rapid, uniform heating via reradiation. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. Gas flows through structured pathways within the array, delivering heat which may be used for processes including calcination, hydrogen electrolysis, steam generation, and thermal power generation and cogeneration. Groups of thermal storage arrays may be controlled and operated at high temperatures without thermal runaway via deep-discharge sequencing. Forecast-based control enables continuous, year-round heat supply using current and advance information of weather and VRE availability. High-voltage DC power conversion and distribution circuitry improves the efficiency of VRE power transfer into the system.

The disclosure is directed to methods and systems for provisioning mobile electric vehicles with various operational settings data transmitted over the air. A vehicle or its components may operate according to operational settings corresponding to operational settings data included in the vehicle components. A server that is remote to the vehicle may comprise operational settings data and may transmit operational settings data to the vehicle. The server may transmit operational settings data automatically, such as on a periodic basis, in response to a request, such as from a user or from a vehicle component or anytime new or updated operational settings data are available for the vehicle or its components.

An off grid electric system for charging electric vehicles. An electric storage system (BTS) is arranged to store electric power generated by a plurality of wind turbines. A plurality of electric vehicle charging stations are connected to the plurality of wind turbines, and the electric storage system by means of an off grid electric power network (CN), so as to allow each charging station to charge at least one electric vehicle (EV).

In one embodiment, a power system includes a power panel operable to distribute alternating current (AC) power and pulse power to a plurality of power outlets and having an AC circuit breaker and a pulse power circuit breaker, the pulse power comprising a sequence of pulses alternating between a low direct current (DC) voltage state and a high DC voltage state, a power inverter and converter coupled to the power panel through an AC power connection and a pulse power connection and including a DC power input for receiving DC power from a renewable energy source, an AC power input for receiving AC power, and a connection to an energy storage device, and a power controller in communication with the power inverter and converter and operable to balance power load and allocate power received at the DC power input and the AC power input to the power panel.

A method for controlling an inverter-based resource (IBR) having a power converter connected to an electrical grid includes receiving a first power limit signal for the IBR from an external controller, receiving a second power limit signal for the IBR, and determining a constrained power limit signal based on the first and second power limit signals. The method also includes applying a first frequency droop function to the constrained power limit signal and determining at least one of a power reference signal or a pitch reference signal for the IBR as a function of an output of the first frequency droop function and the constrained power limit signal. Further, the method includes determining one or more control commands for the IBR based on at least one of the power reference signal or the pitch reference signal and controlling the IBR based on the control command(s) so as to support a grid frequency of the electrical grid within power available at the IBR.

Provided in embodiments of the present invention are a micro-grid reconstruction method and device, a micro-grid protection and control center and a storage medium. The method includes: monitoring and acquiring current operating data of a micro-grid in real-time; storing the acquired current operating data and corresponding time stamp information in a database; analyzing an operating state of the micro-grid based on the operating data and the corresponding time stamp information that are stored in the database; and determining a current control scheme for the micro-grid according to a current analysis result, and reconstructing the micro-grid according to the current control scheme. The technical solution mentioned above realizes flexible protection and control of the micro-grid and improves the operating automation and intelligence of a system.

The present invention belongs to the technical field of information, particularly relates to the theories such as time series interval prediction, extreme learning machine modeling and Gaussian approximation solution, and is a wind power output interval prediction method. First, interval prediction of wind power output influencing factors is realized by time series analysis and normal exponential smoothing so as to consider an input noise factor. Then an extreme learning machine prediction model is established with an interval result as an input, output distribution is calculated based on iterative expectation and a conditional variance law, and thus an interval prediction result of wind power output is obtained. The method has advantages in interval prediction performance and calculation efficiency and can provide guidance for production, scheduling and safe operation of a power system.

According to one embodiment, an electronic apparatus connectable to a partial power system which is a part of a power system and comprises a first power source apparatus, power supply of the first power source apparatus stopped in response to detecting an islanding of the partial power system, includes: controlling circuitry configured to output to the partial power system a first signal to disable detecting the islanding of the partial power system by the first power source apparatus during at least part of a period during which the partial power system is electrically separated from the power system.

A fuzzy finite-time optimal synchronization control method for a fractional-order permanent magnet synchronous generator, and belongs to the technical field of generators. A synchronization model between fractional-order driving and driven permanent magnet synchronous generators with capacitance-resistance coupling is established. The dynamic analysis fully reveals that the system has rich dynamic behaviors including chaotic oscillation, and a numerical method provides stability and instability boundaries. Then, under the framework of a fractional-order backstepping control theory, a fuzzy finite-time optimal synchronous control scheme which integrates a hierarchical type-2 fuzzy neural network, a finite-time command filter and a finite-time prescribed performance function is provided.