20results about "Flexible AC transmission" patented technology

This invention relates to the field of transformer mode switching technology, and particularly to a mode switching method and system for a dry-type phase-shifting transformer adapted to the Panama power supply. The method includes: real-time acquisition of voltage and current signals from the input and output sides of the dry-type phase-shifting transformer, and calculation of the phase shift angle and output voltage amplitude as characteristic quantities; construction of a phasor relationship model and identification of the current power grid supply mode; establishment of a joint matching criterion for phase shift angle and voltage amplitude to determine the current operating mode and target mode; generation of a mode switching sequence based on mode differences; and adjustment of the operating state according to the switching sequence until the amplitude, frequency, and phase of the output voltage all meet the rated power supply parameters of the Panama power supply. This invention effectively solves the problems of existing methods not being specifically adapted to the Panama power grid and having substandard power supply parameters, achieving precise adaptation and ensuring normal equipment operation and stable power supply to the power system.

This invention discloses a method for configuring phase-shifting parameters of a STATCOM controller to suppress subsynchronous resonance, comprising: determining the target generator set to be suppressed by the STATCOM controller, its target torsional vibration mode, and typical operating modes; for each typical operating mode in the set of typical operating modes, using the modal waveform envelope attenuation constant comparison method, calculating the effective range of phase-shifting angles in which the STATCOM controller can provide positive electrical damping for the target torsional vibration mode in electromagnetic transient simulation; performing an intersection operation on the effective ranges of phase-shifting angles of all typical operating modes to obtain a common safe configuration range; selecting phase-shifting angle values ​​from the safe configuration range and configuring them into the damping control channel of the corresponding key shaft torsional vibration mode in the STATCOM controller.

The application discloses a kind of multi-cell energy storage system power equalization control method.The application controls energy storage converter output power by obtaining the SOP of energy storage unit connected with each energy storage converter, and considers the requirements of power charging and discharging and battery consistency;Each energy storage converter only needs to consider the information of corresponding DC side energy storage unit, and meets the characteristics of droop control;When there is temperature difference difference condition in each energy storage battery, the application reasonably allocates the output power of each energy storage converter by calling the SOP information of corresponding energy storage battery;At the same time, when the temperature, capacity and aging degree of energy storage battery are different, SOC reaches consistency and then inconsistency condition appears again, SOP comprehensively considers SOC, voltage, capacity, temperature and other constraints, which can better meet the requirement of battery consistency.

This invention discloses a method and system for impedance measurement of renewable energy power plants based on cascaded H-bridge SVG, comprising: connecting the SVG to the power system in a direct parallel connection to act as a current source outputting inductive or capacitive reactive current into the power system; controlling the output signal of the control loop to superimpose an adjustable disturbance current component into the output reactive current, thereby injecting a disturbance measurement signal into the power system; measuring the voltage and current response of the power system based on the injected disturbance measurement signal, and calculating the impedance of the renewable energy power plant. This invention can complete the impedance measurement of renewable energy power plants without adding new equipment and ensures measurement accuracy.

A method for monitoring and analyzing the operation of a battery energy storage system (BESS) comprises, entering data parameters from one or more subsystems of a field installed BESS into a correlation matrix and extracting target correlations from the correlation matrix. The target correlations along with independent data parameters are entered into a relational coefficient matrix to identify data features. The method further includes extracting the data features from the relational coefficient matrix to a generative and adversarial artificial intelligence network model, where the extracted data features are used to train the model with data from the field installed BESS solution.

The application discloses a kind of water conservancy pump station low-voltage reactive power compensation system online configuration and dynamic regulation method, it is related to electrical automation control technical field, to solve the technical problem that traditional method cannot actively respond to water hammer impact and leads to system impedance mutation and resonance risk, and lack of water pump and compensation device collaborative control ability, comprising the following steps: S1: online construction and update pump station hydraulic-electric coupling dynamic model;S2: based on hydraulic-electric coupling dynamic model, for the water pump start-stop of water hammer and electrical disturbance induced in pump station operation and valve regulation operation, predict the system equivalent impedance change path that it will cause, and combine preset impedance safety boundary, plan a safe impedance track.The application constructs model, and based on this model, a smooth and avoid resonance risk area safe impedance track is planned for pump station key operation in advance, realizes the fundamental change from passive response to active defense.

A method for monitoring and analyzing the operation of a battery energy storage system (BESS) comprises, entering data parameters from one or more subsystems of a field installed BESS into a correlation matrix and extracting target correlations from the correlation matrix. The target correlations along with independent data parameters are entered into a relational coefficient matrix to identify data features. The method further includes extracting the data features from the relational coefficient matrix to a generative and adversarial artificial intelligence network model, where the extracted data features are used to train the model with data from the field installed BESS solution.

The application discloses a 220-kilovolt substation reactive power compensation dynamic optimization control method and device, equipment and medium, relates to the electric power system technical field, and the method comprises the steps of obtaining the multidimensional data of the substation and the external associated system, generating a first characteristic matrix according to the multidimensional data; input the first characteristic matrix into the first neural network model to obtain the total reactive power demand sequence of the substation in the preset time window; according to the total reactive power demand sequence of the substation, the switching plan for the grouped switching capacitor bank SCB and the power reference value sequence for the STATCOM are obtained; according to the switching plan and the power reference value sequence, the control instructions for the SCB and the STATCOM are generated; and the SCB and the STATCOM are controlled to perform the reactive power compensation operation according to the control instructions. The method can realize continuous, smooth and rapid adjustment of the reactive power of the substation, effectively solve the problems of insufficient adjustment accuracy, compensation oscillation and shortened equipment life caused by the discrete step characteristic and control lag of the traditional reactive power compensation scheme.

This invention belongs to the field of power electronic converter technology, specifically disclosing a direct optimization model predictive control method and system for an MMC-STATCOM system. The method includes: calculating the differential-mode voltage and common-mode voltage between the upper and lower arms of each phase; injecting third harmonic voltage into the upper and lower arms of each phase to obtain the upper and lower arm voltages of the newly added third voltage component for each phase; based on the obtained upper and lower arm voltages of the newly added third voltage component, determining the number of sub-modules to be engaged in each phase's upper and lower arms using a nearest-level approximation modulation strategy; sorting the sub-modules according to the capacitor voltage of each sub-module in the arm; and determining the engaged sub-modules for each arm according to the current direction. This invention, while maintaining the discrete control structure, achieves direct injection of third harmonic voltage under the MPC framework, exhibiting higher real-time performance and scalability.

The application discloses a virtual synchronous adaptive control method for an energy storage converter based on fuzzy theory, designs a VSG control system for an energy storage system converter based on fuzzy control theory, is used for simulating synchronous machine excitation regulator characteristics, prime mover speed regulator and synchronous machine rotor motion equation, mainly comprises a reactive power-voltage control module, an active power-frequency control module and a virtual parameter adaptive optimization module. The reactive power-voltage link of the VSG mainly simulates the reactive power-voltage droop characteristics of the synchronous machine, the active power-frequency link of the VSG mainly simulates the active power-frequency droop characteristics of the prime mover speed regulator and the second-order model of the synchronous machine rotor motion equation, and the virtual parameter adaptive optimization link adopts fuzzy control to determine the value of each virtual parameter to adjust the virtual synchronous control parameters of the converter, so as to dynamically adapt the system state, thereby enhancing the sustainable working time and the fluctuation suppression capability of the energy storage system VSG, and improving the dynamic response performance of the VSG.

The application provides a power quality comprehensive treatment system based on APF and SVG collaborative control, belongs to the intelligent power grid industry and the power quality comprehensive treatment technical field, and comprises the following steps: acquiring power grid current signals and voltage signals, detecting harmonic components and voltage deviations through a harmonic detection module; adopting a collaborative decision controller to determine a compensation strategy according to the harmonic components and the voltage deviations, and distributing compensation tasks of active power filter channels and static var generator channels; generating harmonic compensation currents through the active power filter channels to suppress high-frequency harmonics; generating reactive compensation currents through the static var generator channels to stabilize voltage fluctuations; and filtering the compensation currents through a filtering module and outputting to the power grid. The power quality comprehensive treatment system can effectively suppress power grid harmonics, stabilize voltage fluctuations, improve power quality, and is suitable for complex power grid environments.

This application relates to a method, apparatus, computer equipment, storage medium, and computer program product for the operation and maintenance of a battery energy storage system. The server first acquires the task instruction and the status parameters of the battery energy storage system, and then analyzes them to obtain target task step information suitable for the current task instruction. Subsequently, when personnel perform operations on the battery energy storage system, the server can acquire real-time action information of the battery energy storage system and, combined with the target task step information, verify whether the personnel are performing operation and maintenance according to the target task step information. This solution allows for timely verification of whether the operation and maintenance is performed according to the target task step information, thereby effectively reducing the occurrence of errors in the sequence of power outages and power restoration operations, or omissions in operation steps, and improving the reliability of battery energy storage system operation and maintenance.

Method for operating at least one electronic circuit breaker (4, 5) and at least one power module (3) of an inverter (1) in a device for feeding electrical power into an electrical network (N), wherein the at least one circuit breaker (4, 5) is controlled via control means (9) and the at least one power module (3) of the inverter (1) is used for feeding electrical power into the electrical network, characterized in that external operating faults of the device for feeding electrical power into a network (N) are determined using fault detection means (2, 2') and a specific maximum tripping current for the at least one circuit breaker (4, 5) is specified depending on the determined external operating faults.

The present disclosure discloses a Response Enhanced-TAST (RE-TAST) device (104) as a Dynamic Power Flow Controller (DPFC). The DPFC comprises a Response Enhanced high-rated Sen Transformer (REST) and a low-rated Transistorized Sen Transformer (TST) configured to have a common transformer. The transformer comprises a multi-phase primary winding and a plurality of secondary windings. Further, the plurality of secondary windings is divided into a plurality of groups such that each group comprises a configurable first section of secondary windings associated with the REST and a second section of secondary windings associated with the TST. The configurable first section of secondary windings are connected to a plurality of Power-Electronics (PE)-based switches and a respective PE-based bypass switch. The second section of secondary windings is connected to a plurality of Power-Electronics (PE)-based switches, power transistors (TR1-TR4) and a respective PE-based bypass switch. Further, an operation of the plurality of PE-based switches and the respective PE-based bypass switches provides a compensation voltage for regulating power flow in a power transmission line.

The present application belongs to the field of wind power generation technology, aiming at the problem of voltage instability of wind farm grid-connected point caused by wind power uncertainty and grid-connected fault, a reactive power distribution strategy based on sample entropy improved symplectic geometry modal decomposition is proposed. The strategy first decomposes the total reference reactive power of the grid-connected point through symplectic geometry modal decomposition to obtain symplectic geometry components, calculates the sample entropy and similarity threshold of each component, and reconstructs the high, medium and low frequency components. Then, according to the difference in response time of the rotor side converter of the doubly-fed wind power plant and the static synchronous compensator, combined with the coordination of the shunt capacitor, the reference power of the three is distributed according to the frequency band, and the reactive power fluctuation is coordinated and suppressed. Simulation verification shows that this method avoids the defects of traditional algorithms, maintains voltage stability while greatly reducing the configuration capacity of reactive power compensation devices, and has effectiveness and economy.

An arrangement, which is connectable to an alternating current (AC) power transmission system, comprising a static synchronous compensator device having a converter unit and an energy storage unit connected with the converter unit; a power absorption device; and a control device connected with the static synchronous compensator device and with the power absorption device. The control device is configured to control the static synchronous compensator device to exchange power with the AC power transmission system, and to control the power absorption device in dependence of a state of charge of the energy storage unit and a state of the power transmission system. The control device is configured to determine whether there is a need to absorb active power from the AC power transmission system in excess of what the static synchronous compensator device is absorbing and, in case of a need, control the power absorption device to absorb active power.

A method for monitoring and analyzing the operation of a battery energy storage system (BESS) comprises, entering data parameters from one or more subsystems of a field installed BESS into a correlation matrix and extracting target correlations from the correlation matrix. The target correlations along with independent data parameters are entered into a relational coefficient matrix to identify data features. The method further includes extracting the data features from the relational coefficient matrix to a generative and adversarial artificial intelligence network model, where the extracted data features are used to train the model with data from the field installed BESS solution.

The application discloses an SVG data-driven robust control method and system, optimizes an outer ring control structure of SVG based on data-driven control optimization, so as to improve small disturbance stability of the system, designs global voltage and reactive power outer ring controllers of SVG based on a compact format model-free adaptive control structure, so as to improve dynamic response characteristics of the outer ring and improve wide-frequency oscillation suppression capacity of SVG, designs a disturbance observer based on RBF neural network to observe external disturbance and integrate into the controller, so as to further improve stable operation capacity of the system under severe working conditions. The application can be widely applied to wind power, photovoltaic and other new energy grid-connected systems containing SVG, so as to improve control performance of SVG and safe and stable operation capacity of the system.

The application discloses a disturbance suppression method and system applied to an LCL type unified power flow controller, relates to the technical field of power flow converter power control, and comprises the following steps: constructing an input and output mathematical model of a series side converter system in an s domain according to an LCL type filter, and reducing the order of the input and output mathematical model; performing linear space transformation on the reduced input and output mathematical model, and then compensating for the disturbance generated by the linear space transformation through a state observer LESO; designing a phase lead link based on the frequency characteristics of time delay; calculating current instruction values in a stationary coordinate system according to a power flow equation of the unified power flow controller, and designing a current tracking controller to realize real-time tracking of the current instruction values. The application can solve the technical problem that harmonics affect the output current quality of the series side converter in the related art.

This utility model discloses an SVG circuit and a photovoltaic inverter for use in photovoltaic inverters. The SVG circuit includes: a rectifier module, with its input end connected to a three-phase AC power grid and its output end connected to the AC auxiliary power source of the photovoltaic inverter, used to convert the AC power from the three-phase AC power grid into DC power to charge the AC auxiliary power source of the photovoltaic inverter; a switch module, connected to the output end of the rectifier module and the DC bus of the photovoltaic inverter, used to switch the electrical connection between the output end of the rectifier module and the DC bus of the photovoltaic inverter; and a control module, connected to the switch module, used to control the switch module to conduct the electrical connection between the output end of the rectifier module and the DC bus of the photovoltaic inverter during nighttime, so that the DC power output by the rectifier module is input to the DC bus of the photovoltaic inverter. The SVG circuit of this application, by sharing a rectifier module with the AC auxiliary power source of the photovoltaic inverter, has a simpler overall structure and can effectively reduce the cost of the entire system.