71 results about "Inertial control" patented technology

A control system to regulate frequency of an islanded microgrid that includes at least one grid-tied renewable energy source. The system includes a centralized ∞ controller, a multi-agent system, and a distributed control. The centralized ∞ controller generates active and reactive power setpoints. The multi-agent system is integrated into the grid through a grid-tied inverter coupled with an LCL filter. The distributed control controls the multi-agent system and the grid-tied inverter to adjust output power of a multi-agent microgrid storage cooperatively so that they achieve consensus in the energy while providing inertial support.

The invention discloses a bidirectional self-adaptive inertia control method and device for an interconnected converter, and the method comprises a voltage source converter structure, a bidirectional inertia control method and self-adaptive inertia coefficient set.The bidirectional self-adaptive inertia control method and device are suitable for an AC-DC hybrid micro-grid so as to balance AC micro-grid frequency and DC micro-grid voltage dynamic response. Virtual synchronous motor control is adopted as a control outer ring to realize power adjustment and emergency control mode switching, an additional virtual capacitor control ring is designed to suppress the influence of high-frequency interference on a differential element, and the method can enable an IC to adjust a working mode to operate in a rectification or inversion state under a self-adaptive operation condition, so that the reliability of the IC is improved. The strategy enables the interconnection converter to smoothly adapt to three operation modes of grid connection, island power adjustment and island emergency control, thereby balancing the dynamic response characteristics of the two modes after disturbance, and achieving the improvement of the overall performance of the AC / DC micro-grid.

The present disclosure discloses a method for controlling coordinated operation of multiple wind generators to avoid secondary frequency drop. The method includes the following steps: first, the Doubly Fed Induction Generator (DFIG) required for frequency support is dynamically selected based on a real-time disturbance power of a power grid and the rotating speed level of each DFIG; second, the virtual inertial control parameters are adaptively regulated according to the system frequency and the change in the rotating speed of the DFIG participating in frequency support, ensuring that the frequency support requirements are satisfied; and finally, the remaining DFIGs are controlled to release the rotor kinetic energy to support the rotating speed recovery of the selected DFIG, so as to reduce the extra energy absorbed from the power grid in the process.

The invention provides a wind power active support frequency modulation parameter optimization method for suppressing frequency drop. The method comprises the following steps: establishing a doubly-fed fan grid-connected power generation system model; frequency drop characteristics when the doubly-fed fan participates in power grid frequency modulation are determined, the doubly-fed fan participates in power grid frequency modulation through a comprehensive inertia control strategy, and the frequency drop characteristics comprise a frequency primary drop characteristic, a frequency secondary drop characteristic and a system frequency characteristic when the doubly-fed fan quits power grid frequency modulation; frequency modulation parameters needing to be optimized are selected based on the frequency drop characteristics when the doubly-fed fan participates in power grid frequency modulation; the optimal value of the frequency modulation parameter is obtained through searching by using an improved particle swarm algorithm, and the constraint condition of the improved particle swarm algorithm comprises a rotor safety and power output safety coupling item of the doubly-fed fan. The frequency modulation parameter obtained by using the method provided by the invention can effectively suppress the frequency secondary drop problem when the doubly-fed fan participates in power grid frequency modulation.

The invention discloses a self-adaptive virtual inertia control and power distribution method of an energy storage converter suitable for a multi-direct-current micro-grid. The method comprises the following steps: establishing a virtual direct-current motor control model; based on the virtual direct current motor control model, designing an adaptive virtual inertial parameter control and power distribution algorithm, so that the energy storage converter can simulate the inertia and damping characteristics of the direct current generator; constructing a small-signal model of the common DC bus of the multi-DC micro-grid, analyzing the influence of inertia and damping parameters on the dynamic performance and stability of the system, and drawing a Nyquist curve based on an impedance ratio criterion to optimize the inertia and damping parameters; and verifying the adaptability of the adaptive virtual inertial parameter control and power distribution algorithm in the multi-direct-current micro-grid, and realizing effective control on the bus voltage stability and the power distribution of the energy storage unit by adjusting the power response characteristic of the energy storage unit. According to the invention, the stability and response speed of the multi-direct-current micro-grid system are improved, the bus voltage fluctuation is effectively slowed down, and the service life of the energy storage unit is prolonged.

The invention discloses a frequency division frequency modulation control method and system for a power system containing an energy storage unit, and the method comprises the steps: building an energy storage power station comprehensive inertia control model based on an energy storage power station model; considering the influence of energy storage on frequency modulation continuous stability caused by charging and discharging, and establishing a self-adaptive frequency modulation control model considering the energy storage charge state; establishing a frequency response model of the power system based on a balance equation of a wind-light-water-fire power supply, an energy storage unit and a load in the power system; based on the response characteristics of the energy storage unit, establishing a frequency divider model; and comprehensively establishing a frequency control model considering frequency division frequency modulation of the energy storage power supply and other power supplies to realize frequency modulation control of the power system. The frequency modulation advantages that the energy storage unit is high in power supply response speed and can restrain high-frequency fluctuation are brought into play, the frequency response speed of the system is increased, and the frequency response capacity of the system is improved.

The invention relates to the technical field of artificial intelligence fault diagnosis, and discloses a vehicle body gyroscope group fault prediction method based on IAOA-XGBoost, which comprises the following steps: carrying out dimensionality reduction and normalization preprocessing on acquired data through a KPCA algorithm, introducing a local chaotic mapping strategy in an AOA initialization stage to expand the range of an initial candidate solution position, and carrying out fault prediction on the initial candidate solution position; the method comprises the following steps: introducing a non-inertial control factor into a mathematical function accelerator of the AOA for improvement, judging whether the current AOA is in an exploration stage or a development stage according to the improved mathematical function accelerator, and updating a candidate solution position; and performing parameter optimization on the extreme gradient boosting tree XGBoost by adopting an improved arithmetic optimization algorithm IAOA, constructing an IAOA-XGBoost fault diagnosis model, inputting the test data set into the IAOA-XGBoost fault diagnosis model, performing fault diagnosis on the vehicle body speed gyroscope, and outputting a prediction result. According to the method, the defect of blindness of parameter selection in the training process is overcome, the prediction precision of the regression prediction model is improved, and higher prediction precision and practicability are achieved.

In one aspect, a wheel hub assembly including a wheel hub body having an interior, bearing assemblies to rotatably connect the wheel hub body to a spindle, and a vent associated with the wheel hub body that opens to the interior of the wheel hub body. The wheel hub assembly further includes an inertia-controlled valve of the vent rotatable with the wheel hub body. The inertia-controlled valve is configured to open in response to rotation of the inertia-controlled valve with the wheel hub body and permit air to flow out of the interior of the wheel hub body.

The embodiment of the invention discloses a hybrid energy storage regulation and control method, and the method comprises the steps: obtaining a corresponding frequency modulation transfer function Uhuo (S) based on a primary frequency modulation model of a conventional thermal power generating unit; acquiring a corresponding energy storage transfer function I (s) based on the energy storage primary frequency modulation general control model; determining a primary frequency modulation dynamic model according to the frequency modulation transfer function Uhuo (S) and the energy storage transfer function I (s); determining output power and frequency deviation corresponding to VIR control and VDR control in combination with the primary frequency modulation dynamic model; and determining the hybrid energy storage output power according to the output power and the frequency deviation corresponding to the VIR control and the VDR control. The power type energy storage super capacitor with high power responds to an inertia control signal, and the lithium battery with high capacity responds to a droop control signal, so that VIR and VDR are matched with output characteristics of different types of energy storage, the frequency difference is effectively reduced, and frequency deterioration is hindered.

The application provides a wind power active support frequency modulation parameter optimization method for suppressing frequency drop, comprising the following steps: establishing a system model of a doubly-fed wind turbine connected to a power grid; determining frequency drop characteristics of the doubly-fed wind turbine when participating in power grid frequency modulation, wherein the doubly-fed wind turbine participates in power grid frequency modulation through a comprehensive inertia control strategy, and the frequency drop characteristics include primary frequency drop characteristics, secondary frequency drop characteristics and system frequency characteristics when the doubly-fed wind turbine exits power grid frequency modulation; selecting frequency modulation parameters to be optimized based on the frequency drop characteristics of the doubly-fed wind turbine when participating in power grid frequency modulation; and searching for optimal values of the frequency modulation parameters by using an improved particle swarm algorithm, wherein constraint conditions of the improved particle swarm algorithm include a coupling term of rotor safety and power output safety of the doubly-fed wind turbine. The frequency modulation parameters obtained by using the method provided by the application can effectively suppress the secondary frequency drop problem of the doubly-fed wind turbine when participating in power grid frequency modulation.

The invention relates to an energy storage battery self-adaptive cooperative primary frequency modulation control method based on SOC and frequency difference partition, and the method comprises the steps: obtaining a frequency deviation value, and calculating a frequency deviation change rate; comparing the frequency deviation value with the frequency modulation dead zone; judging and selecting virtual inertia control or negative virtual inertia control, and calculating output of a primary frequency modulation response stage; calculating droop control output in a primary frequency modulation response stage; and calculating the total output of the energy storage battery. According to the method, rapid response is performed aiming at the initial rate of frequency change, and rapid fluctuation of the frequency is effectively inhibited; the stability of the frequency recovery process is remarkably improved, smooth and continuous adjustment can be carried out according to the real-time system frequency requirement and the energy storage SOC level, the energy storage output process is more stable and more friendly, the frequency modulation power requirement is preferentially guaranteed under the frequency emergency condition, the frequency modulation capacity of energy storage can be fully exerted in the SOC normal interval, and the energy storage efficiency is improved. And the battery safety is guaranteed preferentially.

The invention relates to the technical field of converter inertia control, in particular to a grid-connected converter virtual inertia control device and method based on a frequency-locked loop, and the method comprises the steps: introducing a three-phase frequency-locked loop and a frequency controller into a virtual inertia control module, and obtaining an active current reference value of a d-q axis and a reactive current reference value of the d-q axis according to the frequency change of a power grid; an improved MPC algorithm is introduced into a current loop, a future current track is predicted according to an active current reference value of a d-q axis and a reactive current reference value of the d-q axis, and a voltage control signal is generated; and the PWM module converts the voltage control signal into a switch control signal through pulse width modulation and outputs the switch control signal to the grid-connected converter. According to the invention, the induction power grid frequency change and the power reference signal are organically combined, the problem of frequency instability of a traditional phase-locked loop structure under a weak power grid condition is solved, and the problem that a single-phase frequency locker has a large number of ripples and generates negative effects on inertial response of a system is solved.

The invention belongs to the technical field of power grid frequency modulation, and relates to a power grid primary frequency modulation control method based on energy storage grouping flexible driving, which comprises the following steps: (1) establishing an energy storage grouping frequency modulation model, (2) setting energy storage equipment output, (3) calculating a virtual inertia output coefficient and a virtual droop output coefficient, (4) calculating an inertia control coefficient and a droop control coefficient, and (5) calculating an inertia control coefficient and a droop control coefficient. (5) calculating a virtual inertia output ratio; (6) calculating an energy storage unbalance index; (7) introducing an equalization factor and secondarily correcting the output of the energy storage equipment; and (8) judging whether to exchange the charging and discharging tasks of the energy storage equipment. The method has the advantages that (1) an energy storage grouping frequency modulation model is established, frequent and shallow charge-discharge circulation of energy storage is avoided, and the energy storage runs at a good discharge depth; (2) virtual inertia and droop control adaptive items are introduced, so that the adaptive capability of the energy storage system is improved; and (3) an equalization factor is introduced, secondary correction is carried out on energy storage output, and the situation that energy storage charging and discharging are unbalanced is avoided.

To provide a power control device avoiding destabilization due to a sudden change of renewable energy generation power.SOLUTION: A power control device can control a plurality of power conversion devices supplying power generated by using renewable energy to a power system, and has the power conversion device performing a first control using a part of the generated power for inertia supply and a second control not using the generated power for the inertia supply, a surplus inertia calculating unit obtaining surplus of inertia supplied to the power system, a control determination unit determining the first control and the second control based on the surplus of inertia obtained by the surplus inertia calculating unit per power conversion device, and a control transmission unit transmitting an operation control determined by the control determination unit to each power conversion device.SELECTED DRAWING: Figure 1

The invention relates to a frequency response analysis method for a wind power grid-connected system through MMC-HVDC (modular multilevel converter-high voltage direct current) based on H2 and H infinity norms. The method comprises the following steps: firstly, based on a small signal linearization theory, deducing a power frequency transfer function between active power variations of DFIG, MMC-HVDC and frequency modulation units of a synchronous generator containing a control system detailed model and frequency variations of a receiving end power grid, and establishing a system detailed frequency response model; obtaining a transfer function between the system frequency variation and the load disturbance quantity; secondly, analyzing the influence of the comprehensive inertia control parameters Kp and Kd, the virtual inertia time constant Hmmc of the converter station and the difference adjustment parameter R of the synchronous machine on the system frequency response characteristic of the detailed frequency response model of the established system based on the H2 and H infinity norm theory;

This invention provides an inertia estimation system, an inertia estimation device, a simulated inertia inverter, and a program that can calculate inertia in a power grid and control a simulated inertia inverter. [Solution] The inertia estimation system of the embodiment comprises an inertia estimation device and a simulated inertia inverter. The inertia estimation device comprises a measuring instrument database which includes at least the locations in the power system of measuring instruments that acquire measurement information used for inertia estimation, an inertia estimation unit which estimates the inertia in the power system, a setting calculation unit which calculates an inertia setting value to be set in the simulated inertia inverter, a communication unit which communicates the calculated inertia setting value, and an inertia calculation unit which calculates the inertia in the power system based on the inertia estimated by the inertia estimation unit and the inertia setting value. The simulated inertia inverter comprises a simulated inertia control unit which simulates the inertial operation of a generator, an inverter communication unit which receives the inertia setting value, and a constant setting unit which sets the inertia setting value in the simulated inertia control unit.

The application belongs to the technical field of structural vibration control, and relates to a mechanical-electrical clutch variable inertial damper, which is a semi-active damping device applicable to civil structures and used for inhibiting the vibration of the structure under the action of an earthquake or wind load. The device is realized by matching a mechanical inertial system, an electrical inertial system, an energy recovery control system and an active inertial mass control system. The application ensures that the device provides an inertial force in the acceleration stage of the structure and does not provide a force in the deceleration stage of the structure. The electrical inertial system can effectively reduce the design capacity of the mechanical inertial system, and in combination with the active inertial mass control system, the semi-active variable inertial control similar to bang-bang control can be realized, and in combination with the energy recovery control system, the kinetic energy of the flywheel can be recovered in the deceleration stage.

The invention provides a control method and device of an off-grid storage-free hydrogen production system, equipment and a medium, and relates to the technical field of new energy hydrogen production, and the method comprises the steps: obtaining a current output electrical parameter of an output side of a grid-forming photovoltaic inverter at a current moment, and a historical output electrical parameter of the output side at a previous moment of the current moment; if the current output electrical parameters meet the configured mode conversion conditions, virtual inertia control parameters are calculated according to the current output electrical parameters and historical output electrical parameters; based on the virtual inertia control parameter, determining a target output electrical parameter of the output side of the grid-forming type photovoltaic inverter at the next moment of the current moment; and based on the target output electrical parameters, controlling the grid-forming photovoltaic inverter to supply power to the hydrogen production power supply. The hydrogen production system is rapidly and stably started, the frequency and voltage deviation is reduced, and the hydrogen production efficiency is improved.

The application provides a temperature-controlled load frequency response comprehensive inertia control parameter design method. The method comprises the following steps: a temperature-controlled load is integrated into a frequency response model of a power system by using comprehensive inertia control; a frequency response frequency domain expression of the system is obtained; a design scheme is given for response delay, droop control parameters and virtual inertia control parameters by considering the dual constraints of system frequency stability and load regulation capacity; and the design scheme has great reference significance for additional frequency response control of the temperature-controlled load.

This application relates to the field of artificial bee colony algorithm technology, providing a method and system for optimizing energy storage frequency regulation strategies based on the artificial bee colony algorithm, addressing the problems of slow suppression speed and low stability of power grid frequency fluctuations. The method includes: acquiring power grid frequency deviation data under load abrupt changes, extracting frequency change characteristics through sliding time window processing, and performing extreme value normalization to form a standard fluctuation sequence characterizing the dynamic characteristics of the frequency. After converting this sequence into an initial power compensation demand signal, phase compensation preprocessing is performed to obtain an optimized power compensation signal. A parameter optimization model is established with virtual inertial control parameters as optimization variables, and the optimal parameter combination is obtained by iteratively solving using the artificial bee colony algorithm, thereby constructing a frequency-power mapping function. Based on the mapping function, an adaptive virtual inertial control strategy is formed, and after processing the power compensation signal, an energy storage output command is generated. This application improves the suppression speed and stability of power grid frequency fluctuations.

The present disclosure relates to curtailment control technology for photovoltaic power generation, and more particularly, to a gridforming type curtailment control system and method in link with a photovoltaic inverter. According to the present disclosure, inertia control that cannot be performed in existing photovoltaic inverters may be performed more continuously in link with a gridforming inverter, thereby having an effect of efficiently managing and utilizing existing photovoltaic inverter facilities.

The invention discloses a sending-end power grid frequency characteristic analysis method, system and device considering multiple dead zones and multiple control modes and a medium, and belongs to the technical field of power system planning operation. Constructing a droop control model of the new energy, a virtual inertia control model, rotor motion models under a plurality of synchronous units, a second-order speed regulation system model, a frequency regulation model of a load, a set value of a primary frequency modulation dead zone of the synchronous units, a direct current frequency limit control model, a dead zone set value and virtual inertia control of a direct current sending part; identifying parameters of the synchronous unit speed regulation system through a time domain simulation method; establishing a power grid frequency response model; and analyzing frequency characteristics and influence factors of the sending-end power grid by adopting a Routh criterion and a root locus method. The auxiliary sending end power grid planning operation provides decision support for a new energy control mode and a control mode of a direct current power transmission system.

The present invention discloses a wind power frequency modulation step-by-step inertia control method based on deep learning. This method mainly includes the following three steps: 1) Obtain the optimal wind power frequency modulation step-by-step inertia control parameters using the Golden Eagle optimization algorithm in time-domain simulation and generate a data set; 2) Extract features from the data set based on a stacked denoising autoencoder; 3) Generate an optimal wind power frequency modulation step-by-step inertia control scheme by learning data features based on a deep neural network. The present invention can quickly and accurately provide the optimal wind power frequency modulation step-by-step inertia control scheme under the current system when power imbalance occurs in the power system; it can prompt the wind farm to actively provide power support for the power system, effectively participate in the power system frequency control, timely suppress the system frequency drop, is beneficial to compensating for the system inertia, effectively improves the quality and efficiency of wind power frequency modulation, provides an important scheme for power system planning and decision-making work, and has great significance for the safety and stability of power system operation.

The invention relates to the technical field of power systems, and particularly discloses an interconnected power system load frequency control method and system under fan access, and the method comprises the steps: integrating uncertain and time-varying disturbance terms, wind fluctuation and load disturbance into uncertain terms of a system; a fan is divided into a non-linear part and a linear part, the linear part provides inertia control to assist system frequency modulation, and the non-linear part is used for simulating wind fluctuation, so that the actual process of wind energy utilization is better met; a sliding mode control law is designed, an integral sliding mode surface is adopted as a sliding mode surface, an improved logarithmic power function reaching law is designed according to a sliding mode reaching law, and a self-adaptive law is designed for compensation for an integrated unknown uncertain item with an unknown upper bound. Compared with other control strategies, the multi-region interconnected power system applying the method has smaller overshoot, faster convergence speed and stronger robust performance when being influenced by multiple factors such as load disturbance and time lag.

In one aspect, a wheel hub assembly including a wheel hub body having an interior, bearing assemblies to rotatably connect the wheel hub body to a spindle, and a vent associated with the wheel hub body that opens to the interior of the wheel hub body. The wheel hub assembly further includes an inertia-controlled valve of the vent rotatable with the wheel hub body. The inertia-controlled valve is configured to open in response to rotation of the inertia-controlled valve with the wheel hub body and permit air to flow out of the interior of the wheel hub body.

The invention discloses a control method, device and equipment for an energy storage converter of an electric vehicle charging station and a medium, and the method comprises the steps: measuring reactive power and actual voltage through a voltage regulation module, and obtaining reference voltage; inputting the reference voltage into an inertia control module, and determining a reference frequency through the inertia control module based on Q-V droop control; the reference voltage and the reference frequency are sent to a double-layer current and voltage inner loop controller, and the output voltage is determined through the double-layer current and voltage inner loop controller; the output voltage is input into a DC / DC module, a battery charging and discharging instruction is determined through the DC / DC module based on P-f droop control, and the two-stage electric vehicle charging station energy storage converter is controlled through the battery charging and discharging instruction. According to the invention, Q-V droop control is utilized by the inertia control module, the output frequency is adjusted according to the deviation of the DC link voltage, and a power grid is supported through capacitance inertia in a network construction mode; and the DC / DC module detects the DC link voltage deviation, and the voltage proportion controller realizes P-f droop control to ensure that the DC link voltage is adjusted within an allowable safety range, so that the energy storage converter can adjust energy storage and energy release in time when the power demand changes, and the energy storage efficiency is improved. And instability and unreliability of power supply are improved.

The invention discloses an SOC adaptive constraint double-layer fuzzy primary frequency modulation control method, which comprises the following steps: S1, analyzing a control model of an energy storage system responding to system primary frequency modulation, and respectively using virtual droop control, virtual inertia control and virtual negative inertia control to cooperate with output for different output stages; s2, designing double-layer fuzzy control containing a system fluctuation state and SOH (state of health), and performing depth constraint on energy storage units of different SOHs; s3, designing different SOC constraint outputs by adopting a piecewise function; and S4, performing frequency modulation control through SOH double-layer fuzzy control and SOC constraint output. According to the method, output coefficients of system fluctuation and SOH constraints are determined by adopting double-layer fuzzy control; and meanwhile, the real-time SOC of the energy storage unit is considered, the output depth is adjusted by adopting a piecewise function, the response capability is improved, and energy storage over-charging and over-discharging are avoided.

The invention provides a new energy vehicle safety power connection device, and relates to the technical field of vehicle power connection, the new energy vehicle safety power connection device comprises a power connection installation part, and the power connection installation part is provided with an inertia control device; a safety separation part is slidably mounted on the power connection mounting part; the safety separation piece is attached to the inertia control device; the inertia control device is used for controlling power connection and power failure between the safety separation part and the power connection installation part. By means of an inertia detection structure, all-directional detection work of vehicle collision can be achieved, the failure rate is low, reliability is higher, detection work can be achieved without electric power, the detection work is not affected by the electric power condition, short circuit of a circuit is prevented, and the detection efficiency is improved. The problems that according to an existing new energy vehicle power connection device, power connection protection work without electrical signal control cannot be achieved conveniently, power connection safety depends on electronic devices, and power connection safety control work in all aspects around the vehicle cannot be achieved conveniently are solved.

The application provides a kind of data-driven based multi-area power grid energy storage adaptive virtual inertia control method and related device, comprising: establishing at least two regional power grid models;Adopt the deep Q network improvement algorithm under the competition framework to adjust the inertia constant of the virtual inertia control unit of two regions, establish the action space required for Dueling DQN agent, state space and reward function establish target loss function, the neural network parameters of Dueling DQN agent are iterated, L1 parameter norm penalty term is introduced to improve the target loss function, improve the generalization ability of Dueling DQN agent.The inertia constant in the virtual inertia control unit of different regions can be adaptively adjusted, the reasonable compensation of inertia power in different scenarios and the cooperation between multi-area energy storage are realized, and the stability of multi-area power grid is improved.

The present invention discloses a three-segment frequency regulation control strategy for a wind farm that takes into account the time-lag influence of the wake effect, and belongs to the field of frequency stability and control of a new power system. The control strategy combines the wake effect and time-lag effect that exist when the wind turbine participates in the frequency regulation of the power system, and designs three comprehensive inertia control strategies according to the different frequency curve characteristics and expected purposes in different time periods in the frequency regulation. In the first stage, in order to be able to quickly respond to load disturbances, improve the FN point and accelerate frequency stability, a comprehensive inertia control that considers the speed and frequency change is designed; in the second stage, considering the influence of the wake effect and time-lag effect on the frequency fluctuation, an adaptive virtual inertia control strategy based on the rotor kinetic energy is designed to effectively suppress the frequency fluctuation; in the third stage, a comprehensive inertia control strategy that changes with time is adopted. This dynamic adjustment is conducive to helping the system frequency quickly reach a steady-state value when the wake disturbance is reduced.