83results about How to "Improve frequency stability" patented technology

The invention relates to a shared energy storage virtual inertia compensation control method for wind power cluster collection, and belongs to the technical field of power system control. In order to solve the problem of insufficient cooperative control of a wind power system and an energy storage system in the prior art, a dynamic model is established by obtaining operation parameters, and the dynamic model comprises a wind turbine generator active power control model and an energy storage system charging and discharging model; designing a virtual inertia control strategy, and introducing virtual inertia control to simulate inertia response characteristics of the synchronous generator; shared energy storage coordination control is carried out, and a strategy is designed by using an MPC method according to an inertia demand and an SOC state; establishing a frequency dynamic response model and calculating inertia response time as a virtual inertia control start-stop condition; and optimizing controller parameters and designing locking logic by adopting an intelligent algorithm. The method can improve the system performance and efficiency, enhance the frequency stability, improve the energy utilization efficiency of the energy storage system, optimize the system performance, and improve the system stability and reliability.

The invention relates to the technical field of power system automation, and particularly discloses a Bayesian optimization setting method for virtual inertia control parameters of a wind turbine generator, and the method comprises the following steps: constructing a disturbed performance index after a power system suffers from an expected fault; constructing a virtual inertia configuration optimization model of the new energy power system by taking the disturbed performance index as an optimization objective function; introducing a constraint condition into a target function in a penalty function form, and converting the virtual inertia configuration optimization model of the new energy power system into an unconstrained optimization model; and iteratively solving an optimal solution of the unconstrained optimization model by adopting a Bayesian optimization algorithm based on a Gaussian process. The method has the advantages that by optimizing the virtual inertia control parameters of the new energy unit, the power angle stability and the frequency stability of the new energy power system under anticipated faults such as an alternating current fault and generator off-grid are improved, and safe and stable operation of the novel power system with new energy as a main body is powerfully guaranteed.

The invention discloses a model library-based spaceflight radio frequency signal quality multi-domain evaluation and compensation method, and belongs to the technical field of wireless communication. The implementation method comprises the steps of determining signal system parameters based on various CCSDS standards and a spaceflight protocol system, extracting related parameters of spaceflight standards in a time-frequency domain, generating standard time-frequency domain radio frequency signals, converting the standard time-frequency domain radio frequency signals into a related domain, a modulation domain, an energy domain and a polarization domain, and establishing spaceflight radio frequency signal sub-model libraries of the domains; obtaining a time-frequency domain measured signal through a receiver, integrating time domain information and frequency domain information, and constructing a time-frequency domain sub-evaluation model; constructing a multi-domain comprehensive evaluation model by adopting a parallel data transmission mode and a weight data processing method; calculating the weight of the evaluation result of each domain through an entropy weight method, and obtaining a comprehensive quality evaluation result of the spacecraft radio frequency signal; and based on the distortion coefficient, a robust signal equalization algorithm is adopted to process the signal, the influence of the distortion effect on the signal quality is compensated, and the robustness and the anti-interference capability of signal transmission are improved.

The invention provides BCZT-BNT-based lead-free composite energy storage ceramic with high breakdown strength and a preparation method of the BCZT-BNT-based lead-free composite energy storage ceramic, and belongs to the field of dielectric energy storage ceramic materials. The general formula of the chemical composition is (1-x) [0.25 (Bi < 0.5 > Na < 0.5 >) TiO < 3 >-0.75 Ba < 0.85 > Ca < 0.15 > Zr < 0.1 > Ti < 0.9 > O < 3 >]-xBaZrO < 3 >, and x is the mole number and ranges from 0.05 to 0.20. According to the preparation method disclosed by the invention, chemical component disorder is induced by doping modification on an atomic scale, and a high-dynamic-polarity nano micro-region (PNRs) is formed, so that the nano micro-region has an obvious dielectric relaxation behavior and a slender ferroelectric hysteresis loop (P-E ring), and the energy storage ceramic material with high energy storage density and energy storage efficiency, ultrahigh breakdown strength and excellent frequency stability is obtained.

The invention discloses a lead-free energy storage ceramic laminated material, and belongs to the technical field of dielectric energy storage. The lead-free energy storage ceramic laminated material is formed by sequentially laminating lead-free energy storage ceramic with a texture structure and lead-free energy storage ceramic with a non-texture structure, and preferably, the material comprises at least three layers; when the lead-free energy storage ceramic with the texture structure is positioned on the middle layer, the lead-free energy storage ceramic with the non-texture structure is positioned on the two sides of the middle layer; when the lead-free energy storage ceramic with the non-texture structure is located on the middle layer, the lead-free energy storage ceramic with the texture structure is located on the two sides of the middle layer. Based on the structural design of at least three layers, the non-textured ceramic is selected as the high-voltage-resistant layer, the textured ceramic is selected as the high-polarization layer, the lead-free ceramic laminated material with excellent energy storage performance is obtained, and the lead-free ceramic laminated material has wide application prospects in the fields of power electronics and pulse power.

The invention relates to a sensing system based on a surface acoustic wave oscillator. The sensing system comprises two resonators, two oscillating circuits, a temperature controller, a fluid pipeline, a frequency mixer, an amplification function comparator and a frequency divider, the temperature controller, the resonators and the oscillating circuits are arranged on the fluid pipeline, the two resonators are located on the upper side and the lower side of the temperature controller respectively, and the two oscillating circuits are located on the upper side and the lower side of the two resonators respectively; the temperature controller transmits heat to the resonators on the upper side and the lower side through the fluid pipeline, the resonators adjust resonant frequencies according to temperature changes and output different frequencies to the adjacent oscillating circuits, and the two oscillating circuits are connected with the frequency mixer. The mixer outputs a difference frequency signal to the amplification function comparator, and the amplification function comparator outputs a square wave signal to the frequency divider.

The invention discloses a parameter adaptive control method and device for frequency modulation participation of a network construction type wind power plant. The method comprises the following steps: respectively establishing an inertia adaptive curve model and a droop adaptive curve model of each wind turbine generator set; distributing a corresponding cooperative control coefficient for each droop adaptive curve model to obtain a droop adaptive curve cooperative control model of each wind turbine generator set; in the frequency modulation process from power disturbance to maximum frequency deviation of the system, the inertia coefficient and the droop coefficient of each wind turbine generator set are respectively changed according to the corresponding inertia adaptive curve model and the corresponding droop adaptive curve cooperative control model; in the frequency modulation recovery process after the system has the maximum frequency deviation, the inertia coefficient of each wind turbine generator set is maintained at the set minimum inertia coefficient, and the droop coefficient of each wind turbine generator set continues to change according to the corresponding droop adaptive curve cooperative control model; therefore, cooperative control of each wind power set in the wind power plant participating in system frequency modulation is completed.

The present disclosure provides an electrostatic MEMS resonator with low dynamic resistance, comprising: a first resonance unit, which is a ring structure; a first support unit, one end of which is connected to the first resonance unit, and the other end is connected to the first base; wherein the length of the first support unit is equal to one quarter of the resonance wavelength of the electrostatic MEMS resonator; a pair of electrodes, comprising: a first electrode and a second electrode, the first electrode is located on the inner side of the first resonance unit, and the second electrode is located on the outer side of the first resonance unit; wherein the first electrode and the second electrode are respectively spaced apart from the first resonance unit by a first gap layer. The present disclosure also provides an electrostatic MEMS resonator array with low dynamic resistance.

The invention relates to the technical field of power systems, and discloses a half-wavelength controllable tuning method under the background of a dual-carbon and novel power system. Comprising the following steps: system evaluation and demand analysis: collecting power grid information and fusing dual carbon and novel power system demands to determine a tuning target and key parameters; designing a half-wavelength tuning strategy, determining tuning parameters by using a particle swarm optimization algorithm, formulating the strategy, and performing simulation optimization; selecting and configuring half-wavelength controllable equipment, evaluating performance indexes, selecting equipment, and reasonably configuring, installing and debugging; system integration and communication network construction: integrating equipment and constructing a reliable communication network to ensure information transmission; tuning implementation and monitoring are carried out, a control system is developed to send instructions, data are collected and analyzed to evaluate performance, and optimization is fed back according to results. According to the invention, the stability and adaptability of the power grid are enhanced, the intelligent development is promoted, the resource configuration and structure are optimized, the safety and sustainable development are guaranteed, and the challenges of dual-carbon and novel power systems can be effectively handled.

The invention discloses a power system inertia distribution optimization method and device based on node inertia and a medium. The method comprises the following steps: setting basic parameters; taking minimization of system inertia total cost as a target, and considering upper and lower limit constraints of an equivalent inertia constant of the new energy grid-connected converter, a system frequency change rate constraint and a system inertia space distribution constraint to construct an optimization model M1; solving the optimization model M1 to obtain the total inertia cost of the system; taking maximization of the overall inertia level of the system as a target, and considering upper and lower limit constraints of an equivalent inertia constant of the new energy grid-connected converter, a system frequency change rate constraint, a system inertia space distribution constraint and a system inertia total cost constraint to construct an optimization model M2; and solving the optimization model M2, and outputting the value of the equivalent inertia constant of the new energy grid-connected converter. According to the method, the frequency change rate constraint and the inertia space distribution constraint are considered, efficient solution of inertia distribution optimization of the power system is realized, and the method can be used for improving the frequency stability of the power system.

The invention discloses a high-proportion new energy power grid frequency rotational inertia control method and system. The method comprises the following steps: establishing a virtual rotor motion equation controlled by a new energy grid-connected converter VSG; obtaining an active-frequency droop equation; deriving a mathematical model of the output voltage of the new energy grid-connected converter VSG control system under a dq two-phase coordinate system; calculating the output power of the VSG when the new energy grid-connected converter VSG control system stably operates; an energy composition function is adopted to analyze a transient energy change process when the frequency of the new energy grid-connected converter VSG is adjusted; a novel self-adaptive virtual inertia is obtained; a high-proportion new energy power grid frequency rotational inertia control equation used for reducing the oscillation frequency during frequency adjustment of the new energy grid-connected converter VSG is obtained, and adjustment of the new energy power grid frequency is achieved. According to the invention, a novel VSG control strategy is adopted, the VSG control strategy is improved, the frequency change rate is introduced to represent the virtual inertia, and the adjustment deviation and the adjustment time during the frequency adjustment of the new energy grid-connected converter VSG are reduced.

The invention relates to a satellite-borne clock control method, device and system based on model prediction. The method comprises the following steps: performing state estimation according to a pre-constructed high-precision clock model and historical clock error data to obtain a clock state at each moment in a prediction interval; constructing a quadratic form cost function according to the clock state of each moment in the prediction interval and the weight matrix, minimizing the quadratic form cost function by adopting a rolling optimization method, outputting a control quantity of the current control moment, and optimizing the control quantity by utilizing a differential control quantity and a differential coefficient to obtain an optimal control quantity; obtaining a to-be-adjusted clock error sequence according to clock error data corresponding to a future moment in the prediction interval, performing phase adjustment on the to-be-adjusted clock error sequence according to the optimal control quantity of the current control moment and a time interval of two adjacent clock errors to obtain an adjusted clock error sequence, and iteratively updating the clock error sequence according to a time sequence to realize satellite-borne clock control. By adopting the method, the performance of the satellite-borne secondary frequency standard can be enhanced.

The invention discloses a double-frequency constant-temperature crystal oscillator and a manufacturing method thereof, and relates to the technical field of crystal oscillators, and the double-frequency constant-temperature crystal oscillator comprises a ceramic base and a ceramic bottom plate which are integrally formed by adopting an LTCC (Low Temperature Co-Fired Ceramic) process; the high-frequency quartz crystal and the low-frequency quartz crystal are respectively arranged in independent closed cavities, and unified heating and accurate temperature control are realized through the high-heat-conduction diamond copper substrate, the metalized heat conduction holes and the partitioned temperature sensing chips; the two paths of signals are output through independent interconnection paths, and the crosstalk is lower than-50dBm. According to the invention, the dual-frequency high-stability low-noise output is realized under the similar volume, and the requirements of a flight control system on a high-integration-level and high-reliability frequency source are met.

The invention discloses a distributed new energy frequency support system based on power grid inertia and frequency modulation demand, and relates to the technical field of power systems, and the system comprises the steps: analyzing the load state of an AC power distribution network, and obtaining a power distribution network state reference characteristic value; analyzing the inertia of the alternating-current power distribution network to obtain an inertia characteristic value; analyzing the fluctuation state of the alternating-current power distribution network, and obtaining a state characteristic value of the power distribution network in combination with the inertia characteristic value; combining the power distribution network state reference characteristic value and the power distribution network state characteristic value, and performing comprehensive analysis to obtain a frequency support characteristic value; based on the frequency support characteristic value, comparing to obtain a primary frequency modulation control scheme of the AC power distribution network; and analyzing the application state of the primary frequency modulation control scheme of the AC power distribution network, and comparing to obtain a secondary frequency modulation control scheme of the AC power distribution network. According to the distributed new energy frequency support system based on the power grid inertia and the frequency modulation demand, the problems of power grid frequency fluctuation and insufficient inertia can be better solved, and safe operation of a power system is ensured.

The invention provides a pulse laser calibration-based high-precision laser ranging system and method. The system comprises a ranging light path and a calibration light path, in the distance measurement light path, an arbitrary waveform generator performs frequency modulation on a laser signal of a semiconductor laser, the laser signal is divided into two beams through an optical fiber coupler, the two beams are respectively incident to a distance measurement unit and a calibration light path, and the distance measurement unit transmits the laser signal to a target for distance measurement; in the calibration light path, a pulse laser emits frequency calibration laser, the frequency calibration laser is transmitted to a second optical fiber coupler, and the frequency calibration laser is coupled with the laser signal to obtain a frequency mixing light signal; and the processor obtains a distance measurement result based on the distance measurement signal, determines a change curve of the laser signal frequency along with time based on the frequency calibration laser, obtains a non-linear quantity of frequency modulation, and calibrates the distance measurement result based on the non-linear quantity of frequency modulation. The pulse laser is used for calibrating the output frequency of the semiconductor laser, the distance measurement result is corrected, and the distance measurement precision is improved.

The invention discloses a new energy power grid virtual inertia estimation method and system and a readable storage medium, and belongs to the technical field of power grid control. The method comprises the following steps: acquiring input and output data of a power grid in real time through a PMU; constructing a transfer function model based on the input and output data by using a system identification method so as to determine orders of a pole and a zero point of the transfer function model; setting the order of the AR part as the pole order of the transfer function model, and setting the order of the X part as the zero order of the transfer function model, so as to construct an ARMAX model based on the input and output data; and calculating the virtual inertia of the power grid by using the ARMAX model. According to the invention, the PMU data is collected in real time, so that the system can accurately capture the frequency fluctuation of the power grid. Besides, a transfer function pole and a zero point identified by the system are mapped to the ARMAX model, so that a virtual inertia response strategy can be adjusted in real time, and the frequency stability of the power grid is ensured to be kept under frequency disturbance.

The invention discloses a method, system, equipment and medium for an expansion generator set to actively support the inertia of a power grid, and belongs to the technical field of compressed air energy storage, and the method comprises the steps: collecting voltage and current signals of the power grid in real time, calculating the frequency value of the power grid from the collected signals, and obtaining the frequency data of the power grid; performing differential calculation on the obtained frequency data to obtain a frequency difference and a frequency change rate; calculating upper and lower limits of power grid rotational inertia and system adjustable rotational inertia resources in real time according to unit operation conditions in a regional power grid; according to the frequency difference and the frequency change rate, system rotational inertia margins under the maximum frequency difference condition and the maximum frequency change rate condition are calculated; and controlling the compressed air energy storage unit to perform active adjustment based on a calculation result. Inertia support is realized, the frequency fluctuation of the power grid can be quickly responded, the frequency stability of the regional power grid is enhanced, the acceptance capability of the regional power grid to renewable energy sources is improved, and safe and reliable operation of the power grid is ensured.

The present invention relates to the technical field of hydroelectric units, and is an ADPSS-based turbine isolated grid control parameter verification device and a method of use, including an ADPSS simulation platform simulating and outputting a grid frequency signal, and receiving a power signal output by a hydroelectric unit speed governor simulation platform for iterative calculation; the hydroelectric unit speed governor simulation platform combines the grid frequency signal simulation to determine the guide vane opening signal, and converts the guide vane opening signal into a power signal; a transmission device builds a communication link between the ADPSS simulation platform and the hydroelectric unit speed governor simulation platform. The present invention improves the simulation speed and authenticity of the hydroelectric unit speed governor in an isolated grid mode through the heterogeneous parallelization of an FPGA module, a physical interface box, and a turbine speed governor simulation platform, and solves the problem that when the current turbine isolated grid control parameter setting uses a frequency step disturbance, only a step amount of a given step length can be used, and there is no effective interaction between the turbine and the grid.

This application relates to the field of new energy technology, and in particular to a neural network-based frequency regulation method for compressed air energy storage. The method includes: acquiring the inlet mass flow rate of the compressor unit in the compressed air energy storage system, the frequency deviation of the power system, and the rate of change of the frequency deviation; determining whether the frequency deviation meets certain frequency regulation activation conditions of the compressed air energy storage system; when the frequency deviation meets the certain frequency regulation activation conditions, adjusting the output power of the compressed air energy storage system based on the inlet mass flow rate and a pre-trained neural network, and adjusting the frequency of the power system based on the adjusted output power until the frequency meets a preset frequency stability condition. This solves the technical problems in related technologies, such as the inability to fully utilize the intelligent processing capabilities of neural networks for multi-dimensional parameters, the inability to reflect the advantages of compressed air energy storage systems such as fast response speed and environmentally friendly high-quality transient frequency regulation power supply, and the low accuracy of active power control in compressed air energy storage systems.

The invention relates to the technical field of communication antenna equipment, in particular to a double-frequency four-arm helical antenna structure and a design optimization and control method thereof. The double-frequency four-arm spiral antenna comprises an FPC base material, the FPC base material is made of polyimide materials, four spiral antennas are integrated on the FPC base material, the spiral antennas are made of electrolytic copper foil conductors, the total thickness of each spiral antenna is smaller than 0.15 mm, the four spiral antennas are arranged on the FPC base material in a 90-degree directional spiral mode, and the thickness of each spiral antenna is smaller than 0.15 mm. And the helical antennas are used for enhancing the directivity and gain ratio of signal transmission, are mutually independent and have phase differences. The invention provides an innovative dual-band four-arm helical antenna design which realizes dual-band accurate frequency control and performance balance through accurate structural parameter optimization, not only has good radiation characteristics and wide bandwidth, but also effectively reduces interference among the frequency bands; the problems of frequency precision, size, weight and the like in the prior art are solved.

This invention relates to a high-precision data acquisition, processing, and magnetic field drive system, mainly comprising a data acquisition module, a processing module, a magnetic field drive module, a power supply module, and a host computer. The data acquisition module converts external analog signals into digital signals and transmits them to the processing module. The processing module includes a processing unit, a high-stability temperature-controlled crystal oscillator, an external clock signal interface, a DDR chip, Flash memory, a high-speed connector, and a digital power supply module. This module performs digital processing such as filtering and phase-locked loop (PLL) on the signals. The host computer can communicate with the FPGA core processing module via both Ethernet and serial ports to control the bias, amplitude, and frequency of the signals generated by the magnetic field drive module, display the read-back online data, and generate real-time curves. This invention realizes a low-cost, high-precision NMR gyroscope magnetic field control system, achieving high-precision closed-loop control of the NMR gyroscope's magnetic field.

The invention relates to the field of power systems, in particular to a frequency modulation coordination control method and system applied to a power system and a medium, and the method comprises the steps that the frequency of the power system is monitored in real time through a frequency monitoring module of the power system, and the frequency monitoring module sends frequency data to a dispatching center for processing; the rotating speed, the load and the frequency of a generator set unit in a power system are monitored in real time, and frequency data are collected; calculating SOC values of the generator set units and the generator sets according to the collected rotating speeds of the generator set units, and grouping according to the SOC values of the generator set units; the dispatching center analyzes the received frequency data and judges that the frequency of the power system enters a frequency dead zone, if the frequency of the power system enters the frequency dead zone, the dispatching center starts frequency modulation compensation and sends a dispatching instruction to a generator set, and the generator set responds according to the dispatching instruction and adjusts the output power. The frequency stability of the power system can be improved on the basis of ensuring the frequency modulation effect of the power system, and safe and stable operation of the power system is facilitated.

The invention belongs to the technical field of double-fed wind turbine generator virtual quantity regulation and control, and particularly relates to a double-fed wind turbine generator virtual inertia control method based on dynamic power tracking. Comprising the following steps: compiling a maximum power point tracking database under different wind speed conditions and different fan rotating speed conditions; the frequency change amplitude of the system is detected, and MPPT curve adjustment is carried out when the frequency drops or climbs and exceeds a set per unit value; when the system frequency drops, the MPPT curve is moved to the left side, the electromagnetic power output of the generator set is increased, and the kinetic energy of a rotor is released to participate in inertial frequency response; when the system frequency climbs, the MPPT curve is moved to the right side, electromagnetic power output of the generator set is reduced, and electric energy is absorbed and converted into rotor kinetic energy to participate in inertial frequency response; and after the inertial response is completed, the fan gradually returns to the optimal MPPT output point at the current wind speed. The inertia response link is added in the control module of the DFIG wind turbine generator, so that the fan can quickly respond to the system frequency change.

This invention discloses an optimized scheduling method for virtual power plants with multiple resource types, belonging to the field of virtual power plant technology. This method aims to solve the technical challenges of delayed scheduling response due to the strong volatility of distributed resource output, insufficient adaptability to multiple scenarios, and weak distribution network resilience under renewable energy access. The method establishes a multi-resource power adjustable range model based on real-time data, uses linear scaling and displacement algorithms to generate aggregated power domain boundaries, and adjusts the weights according to the different target types of the virtual power plant. It combines ridge regression conditional expectation correction and sub-Bruker optimization to construct a dynamic risk budget, optimizing generation plans and reserve capacity in the day-ahead phase. In the real-time phase, it responds in stages according to power deviation levels, triggering rapid energy storage compensation or emergency interruption of controllable loads. The model parameters are iteratively corrected through a closed-loop feedback mechanism. This method significantly improves the response accuracy and reliability of virtual power plants in frequency regulation, peak shaving, and self-balancing scenarios.

The invention discloses an environmental disturbance-oriented atomic clock frequency estimation model and a dynamic correction method, and the model refines the influence of environmental disturbance (such as temperature, humidity and interaction) on atomic clock frequency deviation on the basis of a conventional atomic clock data model, and integrates the influence into the frequency estimation model, so that the frequency deviation of the atomic clock is estimated. The method is used for describing frequency change under environment disturbance. According to the method, temperature and humidity data are combined, the frequency offset is calculated through the fitted model parameters, the atomic clock frequency is corrected, and the method is suitable for a real-time dynamic adjustment system and can also be used for compensation analysis of post data. Compared with a traditional model, the method can effectively compensate the influence of the independent effect of temperature and humidity and the interaction effect on the atomic clock, improves the frequency correction precision and stability, and improves the performance reliability of the atomic clock in a complex environment. The method is widely suitable for high-precision time synchronization, frequency measurement and time frequency research in a complex environment, and provides technical support for high-performance time reference application.

The invention discloses a road area new energy frequency stability control method considering uncertainty of new energy, and relates to the technical field of road area new energy, comprising the following steps: collecting data of a road area new energy power generation system, and constructing an inertial response controller parameter optimization problem model; constructing a controller parameter adaptive optimization additional learning structure based on adaptive dynamic programming (ADP), and calculating an optimal control parameter; training and constructing an evaluation network CNN online algorithm and an execution network ANN online algorithm based on a gradient descent method; and analyzing the convergence of the inertial response controller parameter optimization method, and verifying the effectiveness of the inertial response controller parameter optimization method. According to the method, an inertia response controller parameter optimization and self-adaptive adjustment technology is provided, the frequency stability of a road domain power system is effectively improved, controller parameters are optimized on line on the premise that the rotating speed is not out of limit, and the primary frequency modulation supporting capacity of a road domain doubly-fed fan is provided.

The invention discloses a cascade multi-level converter inertia support control method and device, and the method comprises the steps: building a mathematical model of a cascade multi-level converter, and calculating the capacitor voltage fluctuation components of sub-modules under different working conditions; the method comprises the following steps: detecting a frequency change rate in a power system frequency event, determining a cascaded multilevel converter sub-module capacitor voltage safety regulation domain according to sub-module capacitor voltage fluctuation components under different working conditions, and determining a sub-module capacitor voltage maximum regulation quantity; constructing a droop control link, and multiplying the frequency deviation of the power system by a droop coefficient to serve as a sub-module capacitor voltage change reference value; predicting the load variation of the power system by combining the inertia identification result of the power system, and solving the optimal droop coefficient by taking the condition that the capacitance voltage variation reference value of the sub-module is equal to the maximum capacitance voltage regulating variable of the sub-module as a constraint condition; through droop control, voltage control, current control and modulation links, the capacitor voltage of the cascaded multilevel converter sub-module is adjusted, and inertia support is provided for a power system. The device comprises a frequency change rate calculation module, a load prediction module, a droop control module, a voltage control module, a current control module and a modulation module. According to the cascade multi-level converter inertia support control method and device disclosed by the invention, capacitor voltage out-of-limit caused by capacitor voltage double frequency fluctuation during inertia support can be avoided, and the inertia support capability of the cascade multi-level converter is improved through optimal droop coefficient selection.

The invention belongs to the technical field of power system dispatching, and particularly relates to a load side virtual control unit self-dispatching optimal framework construction method. The method comprises the following steps: constructing a virtual control unit; aiming at the virtual control unit, constructing a day-ahead stage self-scheduling optimal model; performing optimal allocation on instructions sent by the day-ahead scheduling optimal model; and performing system optimization and scheduling on the virtual control unit. And constructing a load side virtual control unit self-scheduling optimal framework based on a system optimization and scheduling result performed on the virtual control unit. According to the method, the optimal deaggregation allocation of the main network day-ahead scheduling instruction by the VCU can be realized, the distributed frequency control resources of the power distribution side are effectively aggregated by constructing the load side virtual control unit and designing the day-ahead self-scheduling optimal model, and the optimal allocation of the main network scheduling instruction is realized. The frequency stability of the power system is improved, and the utilization rate and economical efficiency of power distribution side resources in the novel power system can be improved.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

The present application provides a quadruple frequency circuit, a signal processing method and a communication chip, wherein the circuit includes a first double frequency circuit, a second double frequency circuit and a calibration circuit, wherein the first double frequency circuit is used to receive the first clock signal output by the external circuit, and output a first calibration clock signal, and output a second clock signal with double frequency according to the first clock signal and the error control signal output by the calibration circuit, the second double frequency circuit is used to receive the second clock signal, and output a third clock signal with quadruple frequency, the calibration circuit is used to receive the first calibration clock signal and the second clock signal, and output the error control signal. The second clock signal generated by the first double frequency circuit is calibrated for duty cycle by the calibration circuit, thereby improving the frequency stability and noise performance of the third clock signal generated by the second double frequency circuit, the design is simple, the chip area is small, and the economic benefit is high.