12 results about "Prony method" patented technology

The invention provides a Prony algorithm-based cable segment wave velocity acquisition method, device and system, and a medium, and the method comprises the steps: testing a to-be-tested cable, and obtaining a cable signal transfer function; on the basis of the cable signal transfer function, in combination with cable joint distribution, constructing a cable signal approximation function based on a Prony method; constructing a linear prediction model of the cable signal based on the cable signal approximation function; performing denoising processing on the linear prediction model based on a singular value decomposition method to obtain a denoised linear prediction model; solving the denoised linear prediction model to obtain an attenuation coefficient; and calculating the segmented wave velocity of the cable based on the attenuation coefficient. According to the method, the Prony estimation method is combined with the singular value decomposition noise reduction algorithm, high-precision extraction of attenuation constants and segmented wave velocity decoupling are achieved, and then the electrical distance positioning precision is improved.

This invention discloses a 35kV power grid fault location method based on an improved Prony method, comprising the following steps: After a power grid line fault occurs, the protection device disconnects the circuit breakers at both ends to isolate the faulty line; transient excitation signals generated by capacitor discharge are injected into both ends of the line through the fault location module, and multiple data acquisition units simultaneously record the damped oscillating current signal to obtain two sets of multi-measurement point time series data; the improved Prony algorithm combined with symplectic geometric mode decomposition is used to process the data, and after phase space reconstruction and signal denoising, characteristic parameters such as attenuation coefficient and angular frequency are identified; the characteristic parameters are substituted into the equations of the line fault physical model to solve the problem, and the location result is output after statistical correction of the fault distance results at multiple measurement points. This invention equates the fault network to a second-order RLC damped oscillating circuit, and completely eliminates the influence of unknown transition resistance by using the difference method of the two-end measurement data, thereby improving the location accuracy.

The application discloses a kind of power system low-frequency oscillation characteristic signal extraction methods, comprising: the electrical variation data of acquisition each generator outlet is preprocessed;Through complementary ensemble empirical mode decomposition, variation data is decomposed, and noise component is filtered out;SPA smoothing algorithm is used to process the electrical variation signal after denoising;Prony method is used to decompose the signal after smoothing, and the amplitude and phase of each frequency component are extracted;The application has more excellent noise suppression capability and signal fidelity, can effectively solve the problem of modal aliasing, can adaptively identify and filter out various noise components, and shows good adaptability to noise interference under different operating conditions of power system;SPA smoothing algorithm reduces the error introduced by complementary ensemble empirical mode decomposition while effectively retaining the key features of low-frequency oscillation;Combined with Prony method, the characteristic parameters of the oscillation signal can be accurately extracted in a strong noise environment, providing a reliable data basis for low-frequency oscillation source identification.

The application discloses a transient fault ride-through and reactive power collaborative control method based on a bionic nerve reflex mechanism and belongs to the technical field of power systems, which comprises the following steps: a power system dynamic model under a large amount of new energy injection is established; a simulation nerve reflex control model is established, and target reference trajectories and control parameters of reactive power equipment in cooperation with traditional electric fields are confirmed; a low-voltage ride-through control system of a high-proportion new energy power grid under the cooperation of reactive power equipment and traditional electric fields in a fault is established; an optimal control sequence for recovery to a steady state after low ride-through under a fault is solved, and current control values are output; ride-through evaluation of reactive power equipment in cooperation with traditional electric fields in a high-proportion new energy system based on a Prony method is performed; and system control parameter collaborative optimization considering an expected disturbance scene is performed. The transient fault ride-through and reactive power collaborative control method based on the bionic nerve reflex mechanism provides an efficient and reliable transient fault ride-through solution for a high-proportion new energy power grid.

The application provides a kind of high-frequency oscillation detection method based on band adaptive anti-noise power system, comprising: installing three-phase high-frequency voltage transformer at resonance sensitive point, selecting data acquisition window width, collecting three-phase voltage data and constructing three-phase voltage tensor mathematical model;Voltage tensor in three-phase voltage tensor mathematical model is decomposed to Tucker to realize voltage denoising;The voltage tensor after denoising is converted into three-phase voltage, and peak detection is carried out using dynamic measure;According to the detected high-frequency oscillation signal and its frequency range, wavelet packet decomposition is carried out on three-phase voltage, so that high-frequency oscillation signal and low-frequency fundamental wave and related harmonic components are separated to the wavelet coefficients of each frequency band;The wavelet coefficients containing oscillation signal are subjected to oscillation signal restoration;The restored oscillation signal is subjected to exponential decomposition using Prony method, and high-frequency oscillation characteristics are obtained.The application can improve the detection accuracy of high-frequency oscillation.

The invention relates to an FMCW radar high-precision ranging method and system based on a Prony method and regularization improvement, and belongs to the technical field of radar signal processing, and the method comprises the following steps: S1, data collection; s2, converting the intermediate frequency signal into a complex exponential function for representation; s3, establishing a data relationship; s4, introducing an error to establish a relationship between actual measurement and reconstruction data; step S5, constraint addition: introducing additional constraint conditions through regularization, and performing solution in combination with a cost function; s6, parameter solving: obtaining the frequency, attenuation factor and amplitude of the intermediate frequency signal; step S7, extracting a target frequency; step S8, calculating a target distance; the method has the advantages that the Prony method is combined with the accuracy of target frequency extraction and the generalization ability of regularization, and high-precision ranging precision of the FMCW radar is achieved.

The invention discloses an acoustic liner impedance direct measurement method based on generalized eigenvalues, and belongs to the technical field of acoustic liner impedance extraction. According to the invention, sound field and flow field measurement is carried out on an impedance extraction flow tube experiment table, a two-dimensional shear flow model is utilized to fit a Mach number distribution function, and a Prony method or a Prony-like method is combined to decompose a mode so as to obtain an axial wave number of a dominant mode. And then substituting the Mach number distribution function and the axial wave number of the dominant mode into a section characteristic equation to establish a generalized characteristic value problem, and solving to obtain the acoustic liner impedance. According to the method, the premise that sound field variables must be separated in an existing method is broken through, a real two-dimensional shear flow field can be considered without flow simplification, measurement errors caused by flow simplification are eliminated, the method has the advantage of high efficiency of a direct extraction method, additional experimental design is not needed, the implementation cost is low, and a new scheme is provided for accurate measurement of acoustic liner impedance.

The application belongs to the technical field of cable diagnosis, and discloses a cable positioning defect quantitative evaluation method based on an extended Prony, which comprises the following steps: obtaining the head-end reflection coefficient of a cable to be measured; calculating a sample function and constructing an extended order matrix; calculating the effective rank of the extended order matrix and determining the least square estimation value of the first coefficient in the Prony method parameterization model; solving the characteristic polynomial of the Prony method parameterization model, obtaining the characteristic root of the characteristic polynomial, and calculating the approximate data; calculating the second coefficient by using the least square method according to the characteristic root of the characteristic polynomial and the approximate data; calculating and determining the defect position and the reflection coefficient amplitude of the corresponding reflection wave according to the characteristic root of the characteristic polynomial and the second coefficient; and quantitatively evaluating the defect severity based on the reflection coefficient amplitude at the defect position. The application can realize quantitative evaluation of the defect severity, thereby improving the effectiveness and accuracy of quantitative evaluation of cable defects with different severities.

The invention discloses a transient fault ride-through and reactive power cooperative control method based on a bionic neural reflex mechanism, and belongs to the technical field of power systems, and the method comprises the steps: building a power system dynamic model under the injection of a large amount of new energy; establishing a simulation neural reflex control model and confirming a target reference trajectory and a control parameter of the reactive power equipment cooperating with the traditional electric field; establishing a high-proportion new energy power grid low-voltage ride-through control system of reactive power equipment cooperating with a traditional electric field under a fault; solving a steady-state optimal control sequence recovered after the high-proportion new energy power grid low-crossing under the fault, and outputting a current control value; performing Prony method-based crossing evaluation of the reactive power equipment in the high-proportion new energy system in cooperation with the traditional electric field; collaborative optimization of system control parameters in consideration of an expected disturbance scene; according to the transient fault ride-through and reactive cooperative control method based on the bionic neural reflex mechanism, an efficient and reliable transient fault ride-through solution is provided for a high-proportion new energy power grid.

The invention discloses a power transmission cable metal sheath grounding fault on-line diagnosis method, which comprises the steps of S1, dividing a to-be-detected high-voltage power transmission cable into a plurality of sections, defining one end of the to-be-detected section of the high-voltage power transmission cable as a head end, and defining the other end of the to-be-detected section of the high-voltage power transmission cable as a tail end; s2, a distributed circulating current detection device is installed on the high-voltage power transmission cable to be detected; s3, collecting a current signal on the to-be-detected section of the high-voltage power transmission cable by adopting a distributed circulating current detection device, and estimating the amplitude and phase of the collected current signal by adopting a Prony method; s4, synchronizing current phases of all the distributed circulating current detection devices mounted on the high-voltage power transmission cable to be detected; and S5, calculating characteristic currents, comparing the amplitudes, phases or vectors of the calculated three groups of characteristic currents, and judging that the cable sheath has a grounding fault when data are inconsistent in comparison. When the method is applied, accurate diagnosis of the ground fault of the metal sheath of the high-voltage power transmission cable on site can be realized.

The invention discloses a 35KV power grid fault positioning method based on an improved Prony method, and the method comprises the following steps: enabling a protection device to disconnect circuit breakers at two ends, and isolating a fault line after a power grid line has a fault; two ends of a line inject transient excitation signals generated by discharging of a capacitor through a fault positioning module, a plurality of data acquisition units synchronously record damped oscillation current signals, and two groups of multi-measuring-point time sequence data are obtained; processing data by adopting an improved Prony algorithm combined with symplectic geometric mode decomposition, and identifying characteristic parameters such as an attenuation coefficient and an angular frequency after phase-space reconstruction and signal noise reduction; and substituting the characteristic parameters into a line fault physical model equation set for solving, and outputting a positioning result after counting and correcting a multi-measuring-point fault distance result. According to the invention, the fault network is equivalent to a second-order RLC damped oscillation circuit, the influence of unknown transition resistance is thoroughly eliminated through a double-end measurement data subtraction method, and the positioning precision is improved.

The invention discloses a complex broadband oscillation signal detection method based on multiple synchronous compression KST. A complex broadband oscillation signal containing an oscillation component, a harmonic component and a noise component is modeled; performing S transformation based on a Kaiser window on the obtained complex broadband oscillation signal model to obtain a time-frequency characteristic matrix, and performing multiple synchronous compression on the obtained time-frequency characteristic matrix; performing oscillation component extraction and reconstruction on the time-frequency characteristic matrix after multiple synchronous compression; and carrying out oscillation parameter detection on the reconstructed single oscillation component by using a Prony method. The method is suitable for accurate detection of broadband complex oscillation signals, and accurate detection can be carried out under the condition that oscillation, harmonic wave and noise interference are contained at the same time.