34 results about "Admittance parameters" patented technology

The invention discloses a control method, system and equipment of a remote rehabilitation robot, a medium and a product, and belongs to the technical field of robots. The method comprises the steps of obtaining multi-modal data of a patient end, obtaining a time delay prediction value through prediction of a long short-term memory network model, dynamically adjusting admittance parameters of an admittance model according to the multi-modal data and the time delay prediction value, and finally controlling the remote rehabilitation robot according to the dynamically adjusted admittance parameters. According to the method, the admittance parameters of the admittance model are dynamically adjusted in real time based on the time delay predicted value predicted by the long-short-term memory network model and the electromyographic signals of the patient in the multi-modal number, dual adaptation of the network state and the physiological features of the patient is achieved, the admittance parameters are dynamically adjusted through the electromyographic signals, and the change requirement of the complete rehabilitation cycle of the patient is met; admittance parameters are dynamically adjusted through the time delay prediction value reflecting the network time delay state, and the time delay disturbance requirement in the remote communication environment is met.

The invention discloses a self-adaptive virtual synchronous generator control method of an energy storage converter, and relates to the technical field of self-adaptive adjustment. The method comprises the following steps: S1, generating an electrical comprehensive state set based on three-phase voltage and three-phase current of a grid-connected point; s2, constructing a bearing trigger function and evaluating to generate a bearing trigger identifier; s3, obtaining a bearing fault diagnosis result based on the constructed diagnosis sample sequence; s4, according to the bearing fault diagnosis result and the diagnosis sample sequence, an adjustment parameter set is obtained, and an adjustment instruction is issued to the virtual synchronous generator; s5, updating the virtual power angle and the frequency reference; extracting a current vector and remodeling an original voltage reference according to an admittance parameter group; adjusting a power droop target and power angle evolution of a virtual synchronous generator of the energy storage converter according to a projection active instruction and a projection reactive instruction obtained through projection operation; the self-adaptive virtual synchronous generator control method realizes self-adaptive virtual synchronous generator control which keeps voltage shaping and virtual power angle continuity under current bearing constraint.

The present application relates to a distribution network fault identification and location method, apparatus, equipment, medium, and product. In one aspect, the distribution network fault identification and location method provided herein comprises obtaining a zero-sequence electrical sequence and an admittance parameter matrix corresponding to each acquisition node in a distribution network line; performing morphological feature extraction processing on the zero-sequence electrical sequence to obtain morphological feature data corresponding to the zero-sequence electrical sequence; and determining the target fault location corresponding to the distribution network line based on the admittance parameter matrix when the morphological feature data meets preset identification conditions. The distribution network fault identification and location method in this application can reduce computing resource usage and improve the efficiency of the distribution network fault identification and location method.

The invention provides a passive device parameter design method suitable for suppressing multi-mode broadband oscillation of a double-high power distribution network, and relates to the technical field of power distribution network electric energy quality treatment. According to the method, port impedance modeling is performed on the power distribution network, a node admittance matrix is established, and a key node for oscillation suppression is determined in combination with modal analysis; port admittance parameters of the passive device are equivalently injected into the node admittance matrix in parallel at the key node, iterative optimization is performed on the port admittance parameters by using a particle swarm algorithm, and a passive device parameter fitting result is obtained by taking a damping coefficient greater than or equal to zero point 2 and a resonance angular frequency satisfying an integral multiple of a 2-hundred product circumference rate as an optimization target; the resonance peak weakening effect is verified by constructing a frequency response model before and after the passive device is accessed. According to the method, systematized and collaborative suppression of multi-mode broadband oscillation is realized, and the stability of the double-high power distribution network is remarkably improved.

The invention provides a distribution line fault positioning precision self-correction method based on a digital twin model, and the method comprises the steps: independently constructing a virtual branch of a parallel admittance structure for each phase for each measurement point node of the digital twin model, and initializing the admittance vectors of all virtual branches; obtaining a three-phase current measured value of the distribution line, a three-phase voltage amplitude measured value and a power measured value of each measuring point node, and a corresponding power theoretical value in the digital twinborn model; obtaining a residual vector between the power measured value and the power theoretical value; assigning a division result of the residual vector and the voltage amplitude square matrix to an admittance vector; and acquiring the virtual power of each virtual branch according to the admittance vector, and correcting the admittance parameter of the distribution line in the digital twinborn model according to the current measured value. According to the method, the digital twin model can continuously and automatically track parameter changes of a physical system through a closed-loop correction mechanism, and the precision and reliability of fault positioning based on the model are ensured.

This invention discloses a dexterous hand slip adaptive control method based on variable admittance observation, comprising: constructing equivalent Jacobian coefficients and calculating the physical velocity of the fingertips at the dexterous hand's end; when the detected normal contact force exceeds the trigger threshold, switching to a force-position hybrid control architecture, which employs an outer-loop variable admittance control combined with an inner-loop PID position tracking; in the outer-loop variable admittance control, the virtual mass and virtual damping of the variable admittance controller are dynamically adjusted through a variable admittance-regulated control law; when slip occurs, the target normal contact force required to maintain stability is recalculated through an adaptive force adjustment algorithm, and the target normal contact force is input as a new target force into the variable admittance controller, and stable grasping is reconstructed by dynamically adjusting the variable admittance parameters. This invention can effectively balance energy absorption during the collision phase and force tracking agility during the steady-state phase, while reducing the computational burden and enabling high-frequency real-time observation.

The invention discloses a substation multi-node cooperative control method, system and device and a medium, and the method comprises the steps: employing an inter-node coupling coefficient calculation formula, carrying out the calculation of harmonic admittance parameters between nodes in a substation, and obtaining an electrical coupling coefficient set; partitioning a plurality of nodes in the transformer substation according to the electrical coupling coefficient set to obtain a plurality of node clusters; according to the power constraint conditions of the plurality of node clusters and the operation constraint conditions of each node in the transformer substation, performing minimum value solving on the total power loss objective function of the transformer substation to obtain a power adjustment target value of each node cluster; and according to the unit adjustment capability cost of the power adjustment resource in each node cluster, adjusting the power adjustment resource in each node cluster until the power adjustment value of each node cluster is the power adjustment target value of each node cluster. According to the invention, on the basis of realizing cooperative control of multiple nodes in the transformer substation, efficient treatment of the multiple nodes in the transformer substation can be improved.

This invention provides a method for constructing a threat model based on sensitive information reverse inference using electricity price data, belonging to the field of smart grid analysis technology. This invention constructs a homogeneous linear equation model between electricity price and admittance matrix based on a DC power flow model and a local marginal price theory model. It extracts node and edge features from power data, inputs them into a dynamic routing encoder, outputs encoded feature sequences of nodes and edges, performs time-series modeling on the encoded features, outputs the grid admittance parameter sequence at each time step, and corrects and optimizes the parameter sequence. A differential privacy mechanism is used to perturb the electricity price data. Combined with the optimized parameter sequence, the sensitive information reverse inference threat model is constructed. This invention utilizes dynamic feature encoding and time-series modeling techniques, combined with a differential privacy strategy, to achieve effective reverse inference of grid admittance parameters based on publicly available data, and also completes privacy protection and risk assessment of electricity price data using the differential privacy strategy.

The invention relates to the technical field of grid-connected equipment impedance control, in particular to a wide-frequency-domain self-adaptive admittance control method and system considering the frequency coupling effect, and the method comprises the steps: building a wide-area admittance remodeling control loop considering the frequency coupling effect, comprising a virtual impedance control branch, a DC voltage loop control branch, a current loop forward control branch and two virtual impedance feed-forward branches. Selecting a reference virtual resistor based on a converter fundamental wave reactance coefficient, and determining a maximum variable admittance remolding adjustment coefficient and a numerical range of a reference virtual inductor through grid-connected converter GCC self-stability constraint; the variable admittance remolding adjustment coefficient is automatically adjusted based on the total harmonic distortion (THD) of the voltage component, the value of the amplification coefficient is determined based on the constraint of the maximum adjustment coefficient, and the admittance self-adaptive control of the converter is realized. And the method also has the advantages of broadband adjustment characteristic, simple admittance parameter setting, adaptive admittance adjustment and the like.

The present application relates to the technical field of electric power metering, and provides a voltage transformer error prediction model construction method, an error evaluation method and a device, the construction method comprising: collecting voltage and current phasors of a monitoring node and obtaining three-phase admittance parameters; constructing a node feature matrix based on the voltage and current phasors, establishing a graph adjacency matrix based on the three-phase admittance parameters, and using the node feature matrix and the graph adjacency matrix to perform error prediction by using a graph neural network to obtain voltage and current prediction errors; obtaining voltage estimated true values based on the voltage phasors and the voltage prediction errors, obtaining current estimated true values based on the current phasors and the current prediction errors, and determining voltage drop and current balance constraint losses of a three-phase transmission line based on the voltage estimated true values and the current estimated true values; and performing parameter iteration on the graph neural network based on the voltage drop and the current balance constraint losses to obtain an error prediction model. The method and device provided by the present application can maintain stable performance under different operating conditions and network topologies.

The invention discloses a de-embedding measurement method and system for electrical parameters of a passive device. The de-embedding measurement method comprises the following steps: constructing an original test circuit containing a passive device to be tested, removing the passive device to be tested in the original test circuit to obtain an open-circuit test circuit, and performing short-circuit on an open circuit of the open-circuit test circuit to obtain a short-circuit test circuit; respectively measuring S parameters of each test circuit to obtain an S parameter matrix, and performing parameter conversion to obtain a corresponding Y parameter matrix; according to the Y parameter matrix, calculating an admittance parameter of the to-be-tested passive device to the ground and an impedance parameter of the to-be-tested passive device after parameter stripping, and according to the admittance parameter and the impedance parameter, calculating a Y parameter matrix of the to-be-tested passive device after de-embedding; and performing parameter conversion on the Y parameter matrix of the passive device to be tested to obtain a corresponding S parameter matrix, and extracting the required electrical parameters of the passive device through the S parameter matrix of the passive device to be tested. According to the invention, high-precision de-embedding of the passive device can be realized, and the electrical characteristics of the device to be tested can be effectively obtained.

The invention relates to the technical field of electric power measurement, and provides a voltage transformer error prediction model construction method and an error evaluation method and device, and the construction method comprises the steps: collecting the voltage and current phasors of a monitoring node, and obtaining a three-phase admittance parameter; constructing a node feature matrix based on the voltage and current phasors, establishing a graph adjacency matrix based on the three-phase admittance parameters, and performing error prediction by using the node feature matrix and the graph adjacency matrix and adopting a graph neural network to obtain voltage and current prediction errors; obtaining a voltage estimation truth value based on the voltage phasor and the voltage prediction error, obtaining a current estimation truth value based on the current phasor and the current prediction error, and determining voltage drop and current balance constraint loss of the three-phase power transmission line based on the voltage estimation truth value and the current estimation truth value; and performing parameter iteration on the graph neural network based on the voltage drop and the current balance constraint loss to obtain an error prediction model. According to the method and the device provided by the invention, the stable performance can be kept under different operation conditions and network topologies.

The application discloses a train impedance frequency response measuring device and measuring method, and relates to the technical field of train impedance measurement, which comprises the following steps: connecting the wheel and rail connecting part at the front and rear of the train as a two-port, connecting the two copper plates through the four-hole flange seat N-KF female head of the connecting device, connecting the lead wire of the two-port vector network analyzer port to the four-hole flange seat N-KF female head, measuring the scattering parameters of the two-port and the parallel two-port of the wheel and rail in the state of no train on the rail and the state of train on the rail, converting the two-port scattering parameters into admittance parameters and transmission parameters, removing the influence of the surrounding equipment such as the rail on the result according to the admittance parameter relationship in the parallel state of the two-port, and obtaining the admittance parameters of a single train; obtaining the transmission parameters of the connector between trains according to the transmission parameter relationship in the cascaded state of multiple two-ports, and converting the transmission parameters into impedance parameters, and obtaining the impedance frequency response of the train in the two-port state of the wheel and rail contact points in any frequency range.

The invention provides a method for constructing a sensitive information reverse reasoning threat model based on electricity price data, and relates to the technical field of smart grid analysis. A homogeneous linear equation model between electricity price and an admittance matrix is constructed according to a direct current power flow model and a local marginal price theoretical model; the method comprises the following steps: extracting node and edge features from power data, inputting the features into a dynamic routing encoder, outputting encoding feature sequences of nodes and edges, carrying out time sequence modeling on encoding features, outputting power grid admittance parameter sequences at all moments, correcting and optimizing the parameter sequences, disturbing electricity price data by adopting a differential privacy mechanism, and outputting a power grid admittance parameter sequence. And in combination with the optimized parameter sequence, completing the construction of the sensitive information reverse reasoning threat model. According to the method, the dynamic feature coding and time sequence modeling technology is utilized, effective reverse inference of the power grid admittance parameters based on public data is achieved in combination with the differential privacy strategy, and privacy protection and risk assessment of electricity price data are completed in combination with the differential privacy strategy.

The application discloses a power distribution network optimization partitioning method considering three-phase power imbalance, relates to the technical field of large-scale power distribution network partitioning, and comprises the following steps: according to local sensitivity calculation, combining line admittance parameters of a power distribution network, calculating a voltage sensitivity matrix between nodes, and deducing electrical distance; then taking the electrical distance as an edge weight of a power distribution network topology, combining the concept of modularity, and using a Louvain algorithm to obtain a preliminary partitioning result; then according to a partitioning number constraint, selecting a flow method or a hierarchical flow method to perform sub-region merging, and obtaining a non-overlapping partitioning result; finally, according to a distributed algorithm requirement, the non-overlapping partitioning result can be overlapped based on a maximum information interaction principle. The application not only solves the influence of three-phase imbalance on partitioning, but also speeds up the partitioning algorithm, and has more advantages in partitioning effect and partitioning stability.

A microwave impedance microscopy (MIM) system having multi-harmonic MIM channels has a microwave signal source to produce a microwave signal, a probe tip to transmit the microwave signal to a surface of a sample under test and detect a signal, a scanning setup to scan the sample under test against the probe tip, one or more harmonic separators and demodulators to simultaneously extract multiple harmonic components of the signal, one or more processors configured to execute code that causes the one or more processors to: perform end-to-end phase calibration of the multi-harmonic MIM channels, relate the multiple harmonics components of the signal to corresponding non-linear admittance parameters, and use the non-linear admittance parameters to analyze the sample.

The invention discloses an MOS transistor grid electrode small signal capacitance test method, device, equipment and medium, and relates to the technical field of semiconductors, the MOS transistor grid electrode small signal capacitance test method comprises the following steps: constructing three standard components containing radio frequency GSG PAD based on a test piece containing radio frequency GSG PAD of a target MOS transistor; the standard component is constructed based on the input GSG PAD and the output GSG PAD of the test piece; determining the scattering parameters of the input GSG PAD and the output GSG PAD based on the test data of the scattering parameters of the three standard components; performing transmission parameter transformation on the scattering parameters to obtain transmission parameters of the input GSG PAD and the output GSG PAD; determining actual transmission parameters of the target MOS transistor based on the transmission parameters of the input GSG PAD and the output GSG PAD and the transmission parameters of the test piece; carrying out admittance parameter transformation on the actual transmission parameter of the target MOS transistor to obtain an admittance parameter of the target MOS transistor; and averaging the admittance parameters of the target MOS transistor in the frequency domain, and determining the capacitance of the grid small signal of the target MOS transistor.

The invention provides a network construction type converter and a control method thereof based on virtual admittance adjustment. The method comprises the following steps: respectively extracting a voltage harmonic component and a current harmonic component from a grid-connected point voltage and a grid-side current of the converter; adjusting the deviation between the voltage harmonic component and the voltage harmonic amplitude limiting value to obtain a first amplitude compensation amount and a first phase compensation amount; adjusting the deviation between the current harmonic component and the current harmonic amplitude limiting value to obtain a second amplitude compensation amount and a second phase compensation amount; according to the first amplitude compensation amount, the first phase compensation amount, the second amplitude compensation amount, the second phase compensation amount, the amplitude set value and the phase set value, a virtual admittance parameter of the voltage regulator is updated, and the updated voltage regulator is obtained; and controlling the converter based on the updated voltage regulator. The method provided by the invention enhances the adaptability of the grid-forming converter to the power grid, and reduces the maintenance workload of products.

The present application provides a fault test system and a DC distribution network for a DC circuit breaker, comprising a circuit end, a coupling interaction end, and a multi-physics field end; the circuit end is used to perform electromagnetic transient simulation on the DC circuit breaker through an electromagnetic transient simulation model to output a dynamic current value to the coupling interaction end; the coupling interaction end is used to convert the dynamic current value into a dynamic boundary condition and send the dynamic boundary condition to the multi-physics field end; the multi-physics field end is used to determine the physical parameter value based on the finite element model and dynamic boundary condition of multiple preset physical fields, and send the physical parameter value to the coupling interaction end; the coupling interaction end is used to update the current resistance parameter and admittance parameter of the arc according to the physical parameter value, and send the current resistance parameter and admittance parameter to the circuit end to indicate the next electromagnetic transient simulation. In this way, the connection between the multi-physics field end and the circuit end is established through the coupling interaction end, thereby improving the comprehensiveness of the fault test for the DC circuit breaker.

This invention relates to the field of power systems and their automation technology. It provides a method for constructing a traction network simulation model based on current distribution characteristics. The method includes: establishing multi-conductor transmission line equations based on Maxwell's equations, including Gauss's law and Faraday's law; deriving a chain-like network model of the traction network based on the multi-conductor transmission line equations and a chain circuit model with multi-conductor transmission lines as the backbone and randomly connected transverse elements; simplifying the chain-like network model to obtain a simplified series impedance matrix equation and a parallel admittance parameter matrix after conductor merging; and calculating the series impedance and parallel admittance values ​​using the simplified series impedance matrix equation and the parallel admittance parameter matrix after conductor merging. This invention improves the accuracy and applicability of traction network electrical simulation and signal analysis.

The present invention provides a method and device for identifying the aerodynamic admittance of a long-span bridge based on operational measured data, relating to the field of bridge safety technology. The method comprises establishing a generalized equation of motion for a long-span bridge under buffeting forces; establishing a bridge finite element model, updating the bridge finite element model using operational measured data to obtain an optimal bridge finite element model; calculating the fluctuating wind coherence function of the long-span bridge main beam; obtaining the three-force coefficient, three-force, and generalized buffeting force of the long-span bridge under different wind attack angles based on the optimal bridge finite element model; performing frequency domain analysis on the generalized equation of motion to obtain a simulated power spectrum density at each point on the long-span bridge main beam; and identifying aerodynamic admittance parameters in a preset aerodynamic admittance function based on the simulated power spectrum density to complete the aerodynamic admittance identification of the long-span bridge. The present invention solves the problem that existing methods are unable to identify the aerodynamic admittance of a long-span bridge during operation.

The application discloses a kind of power distribution network intermittent ground fault identification method and system, comprising: preset first zero sequence voltage threshold, establish the second admittance threshold based on first zero sequence voltage threshold, third conductance threshold and fourth admittance threshold;Preset sampling window time, judge the relationship between target power distribution network real-time zero sequence voltage and first zero sequence voltage threshold;Cumulative parameters in corresponding sampling window time when meeting the condition of judgment are calculated, and whether the intermittent ground fault of target power distribution network occurs is judged according to cumulative parameters.This method measures the amplitude and admittance parameter of power frequency zero sequence voltage, and discriminates based on cumulative intermittent arc fault duration.This method is suitable for ungrounded and arc suppression coil grounding system, and can accurately identify intermittent ground fault.

The invention relates to the technical field of power systems, and provides an alternating current optimal power flow solving method and system.The topological connection data, line admittance parameters and node load data of a target power grid are obtained, the topological connection data are constructed into an adjacent matrix, and the node load data are constructed into a node initial feature matrix; a node deep feature matrix is generated through multi-layer graph convolutional network iteration aggregation transformation, a node voltage amplitude and active power and reactive power of each branch circuit of a target power grid are calculated through a physical constraint output layer based on the node deep feature matrix and a line admittance parameter, and finally, the active power and the reactive power of each branch circuit of the target power grid are calculated by combining the line admittance parameter and node load data. And an optimal power flow scheduling scheme is obtained through system state reconstruction and power balance calculation. Through precise adaptation of the graph convolutional network and the power grid topology, cooperative guarantee of a physical constraint output layer and a safety threshold, and deep conjunction of system state reconstruction and a power physical law, the alternating current optimal power flow solving accuracy, reliability and generalization capability are comprehensively improved.

The invention is suitable for the technical field of power electronic simulation, and provides a switching device admittance value online modification method in real-time simulation modeling. The method comprises the following steps: loading a circuit topology through an upper computer, and selecting a switching device of which the admittance value needs to be dynamically switched in a circuit model to be simulated; presetting an admittance parameter list in an upper computer interface, and calculating and generating a circuit admittance matrix corresponding to a plurality of to-be-tested working conditions; the circuit admittance matrixes are sent to a real-time simulator FPGA to serve as simulation data, corresponding switching is conducted in real-time simulation operation, and circuit solving is executed. When different to-be-tested working conditions are simulated, the switch admittance value can be modified on line, simulation errors introduced by switch equivalent parasitic parameters are reduced, and therefore switch admittance parameter setting optimization under different test working conditions is achieved.

The invention discloses a method and system for converting PI type line parameters into distribution parameter line applicable parameters, and belongs to the technical field of electric power system electromagnetic transient modeling and simulation. The method comprises the following steps: acquiring an impedance parameter matrix ZL and an admittance parameter matrix YC of a three-item PI type distribution parameter line, and selecting voltage and current phase-mode transformation matrixes M and N adapted to the distribution parameter line; calculating a propagation constant matrix gamma and a characteristic impedance matrix ZC of the distribution parameter line; based on the propagation constant matrix gamma and the characteristic impedance matrix ZC, calculating a matrix Z and a matrix Y in the form of phase components of a distribution parameter line matrix, converting the phase components of the distribution parameter line into sequence components based on the matrix Z and the matrix Y, and obtaining applicable parameters of the distribution parameter line according to the sequence components. Parameters of a PI type line are converted into distribution parameter line parameters, and the line parameters do not need to be measured again.

The present invention relates to the technical field of wireless communications. Disclosed are a surface acoustic wave device model coefficient extraction and simulation method and apparatus, and a related device. The method comprises the following steps: step S1, acquiring admittance parameters of a batch of surface acoustic wave devices; step S2, removing abnormal waveforms and random noise in measured curves by means of a filtering and noise reduction algorithm, so as to obtain true values of the measured curves; step S3, searching for feature information in the measured curves by using a moving window of a preset size in combination with a preset limiting condition; step S4, on the basis of a feature change relationship between the coefficient of a phenomenological model and each of the conductance of a conductance curve and the susceptance of a susceptance curve, sequentially optimizing all model coefficients step by step; and step S5, using a neural network model to develop a simulation method for surface acoustic wave devices within a preset structural dimension range and obtain a simulation result. The surface acoustic wave device model coefficient extraction and simulation method of the present invention can improve the accuracy of surface acoustic wave device simulation.

The application relates to the technical field of mechanical arm cooperative control, and discloses a mechanical arm cooperative control system and method for complex working conditions, which comprises the following: a machining control module extracts a track arc length coordinate to construct a forward-looking task data packet; a support control module generates a multi-frequency coherent coding pilot force instruction to process a workpiece excitation, records a sending time stamp; a non-contact forward-looking sensing device collects a vibration signal, records a receiving time stamp; an edge processing module solves equivalent dynamic stiffness and damping based on a double-frequency algebraic elimination mechanism, calculates a comprehensive link delay, and writes the solved parameters into a dynamic impedance map; and the machining control module calculates compensation arc length based on the comprehensive link delay, adjusts admittance control parameters according to the dynamic impedance map. The application eliminates the time sequence deviation between system instructions and physical execution, realizes forward-looking remodeling of admittance parameters, and improves the cooperative control precision of the mechanical arm under complex working conditions.

The invention discloses an on-chip inductor high-frequency equivalent circuit establishing method, device and equipment and a medium, and relates to the technical field of semiconductors, in order to reduce the complexity of on-chip inductor high-frequency equivalent circuit modeling, the on-chip inductor high-frequency equivalent circuit establishing method comprises the following steps: on the basis of a test piece containing a radio frequency GSG PAD of a target inductor device, establishing an on-chip inductor high-frequency equivalent circuit; the method comprises the following steps: constructing three standard components containing a radio frequency GSG PAD; the test piece comprises an input GSG PAD, a target inductance device and an output GSG PAD; the standard component is constructed based on an input GSG PAD and an output GSG PAD; determining admittance parameters of the target inductor device based on the test data of the scattering parameters of the test piece and the test data of the scattering parameters of the three standard components; establishing a pole-residue model of the target inductor device according to the admittance parameters of the target inductor device in a vector fitting black box modeling mode; and according to the pole-residue model, constructing an on-chip high-frequency equivalent circuit of the target inductance device, and determining the value of each element in the on-chip high-frequency equivalent circuit.

The present invention provides a method for testing the admittance of a resonator and a resonator. Among them, the testing method includes the following steps: obtaining a scattering parameter matrix file of the resonator to be tested; constructing a principle circuit of the real resonator according to the scattering parameter matrix file; the real resonator is attached with parasitic effects; deriving an equation of the scattering parameters of the real resonator according to the principle circuit; calculating the admittance parameters of the real resonator through the equation for designing the real resonator. The method for testing the admittance of the resonator in the present invention not only has low cost but also can obtain more accurate admittance parameters.

The application discloses a new energy unit impedance characteristic sensitivity simulation test method, which comprises the following steps: setting a unit control parameter as an operation parameter; obtaining the admittance parameter of the unit at each frequency through a hardware-in-the-loop test method; calculating an AC power grid side impedance; calculating a total impedance open loop transfer function of a grid-connected system from the admittance parameter and the grid-connected system impedance; calculating a grid-connected oscillation frequency and a phase margin according to the total impedance open loop transfer function of the system; and changing the unit control parameter and recalculating the grid-connected oscillation frequency and the phase margin. The method can calculate the impedance characteristic parameter sensitivity without obtaining the structure and parameters of a new energy unit controller, has the advantages of high efficiency and simple realization, and is especially suitable for the case where the structure and parameters of the new energy unit controller are unknown.