CN-122017408-A - Intelligent detection method and system for operation state of enclosed bus

CN122017408ACN 122017408 ACN122017408 ACN 122017408ACN-122017408-A

Abstract

The application relates to the field of closed bus detection, in particular to an intelligent detection method and system for the running state of a closed bus. The method comprises the steps of obtaining a multisource real-time monitoring data set of a phase separation closed bus, carrying out time-frequency domain transformation processing on a triaxial vibration acceleration signal based on the multisource real-time monitoring data set to separate and extract vibration characteristic frequency components led by electrodynamic pulsation to generate a bus vibration characteristic spectrum set, carrying out operation modal analysis and electrodynamic frequency identification based on the vibration characteristic spectrum set, solving leading natural frequencies of a bus structure and major excitation frequencies of the electrodynamic force in real time, calculating approach degree and energy coupling degree between the leading natural frequencies and major excitation frequencies of the electrodynamic force, generating a mechanical resonance risk index set, carrying out multidimensional assessment of resonance risk state based on the approach degree and energy coupling degree, and generating a closed bus resonance risk state report for guiding operation and maintenance intervention based on the multi-dimensional assessment. In the detection process of the running state of the enclosed bus, the safety and reliability of key equipment of the power grid are obviously improved.

Inventors

WANG HONGJIAN
MA HAITAO
ZHANG SHUANGSHUANG
ZHANG JIUTANG

Assignees

山东达驰阿尔发电气有限公司

Dates

Publication Date: 20260512
Application Date: 20260202

Claims (10)

1. An intelligent detection method for the running state of a closed bus is characterized by comprising the following steps: Acquiring a multisource real-time monitoring data set of an isolated phase closed bus, and performing time-frequency domain transformation processing on a triaxial vibration acceleration signal based on the multisource real-time monitoring data set so as to separate and extract vibration characteristic frequency components dominated by electrodynamic pulsation and generate a bus vibration characteristic spectrum set; Based on the busbar vibration characteristic spectrum set, carrying out operation mode analysis and electric power frequency identification, resolving the dominant natural frequency of the busbar structure and the electric power main excitation frequency in real time, calculating the approach degree and the energy coupling degree between the dominant natural frequency and the electric power main excitation frequency, and generating a mechanical resonance risk index set; based on the mechanical resonance risk index set, performing multi-dimensional assessment of the resonance risk state, and generating a closed bus resonance risk state report for guiding operation and maintenance intervention according to the multi-dimensional assessment.
2. The method of claim 1, wherein the generating a busbar vibration profile set comprises: Acquiring a multi-source real-time monitoring data set arranged at a position point of a specific structure of the isolated phase closed bus shell, wherein the multi-source real-time monitoring data set comprises the triaxial vibration acceleration signal, the three-phase current waveform signal and the bus shell temperature signal which are synchronously acquired; Based on the three-phase current waveform signals, calculating fundamental frequency of electromotive force and harmonic components thereof as theoretical excitation frequency spectrums; Performing time-frequency domain transformation on the triaxial vibration acceleration signal to obtain an actually measured vibration frequency spectrum; based on the bus shell temperature signal, decoupling analysis is carried out on the actual measurement vibration spectrum and the theoretical excitation spectrum, broadband noise caused by environmental background vibration and internal particle impact is filtered, narrowband resonance risk frequency components with structural modal modulation characteristics, which are caused by transmission of conductor electrodynamic force to the shell through an insulator supporting structure, are separated, and the bus vibration characteristic spectrum set is generated.
3. The method of claim 2, wherein the acquiring the multi-source real-time monitoring dataset disposed at a specific structural location of the isolated enclosed busbar enclosure comprises: based on the structural dynamics characteristics and the vibration transmission path of the phase separation enclosed bus, a sensor group is synchronously arranged at the following key positions of the shell to acquire signals: arranging a supporting point monitoring position at a mechanical anchoring point corresponding to the penetration of the internal supporting insulator through the shell; A mid-span monitoring position is arranged at the mid-span position of the shell between the anchoring points of two adjacent supporting insulators; Arranging an expansion joint monitoring position at the outer shell of the corrugated pipe or expansion joint connecting section for compensating heat expansion and cold contraction; And synchronously collecting the multisource real-time monitoring data set on the supporting point monitoring position, the midspan monitoring position and the telescopic joint monitoring position.
4. A method according to claim 3, wherein separating out the narrow-band resonance risk frequency components with structural modal modulation characteristics induced by the transmission of conductor electrodynamic forces to the housing via the insulator support structure comprises: constructing a multi-measuring-point vibration spectrum matrix based on vibration signals synchronously collected from the supporting point monitoring position, the midspan monitoring position and the telescopic joint monitoring position; Carrying out cooperative analysis on the multi-measuring-point vibration spectrum matrix, and identifying a narrow-band frequency component which has significant energy at the supporting point monitoring position, shows an amplitude amplification effect at the mid-span monitoring position and shows a specific phase lag relation at the telescopic joint monitoring position as a candidate structural modal frequency; Matching the candidate structural modal frequency with the theoretical excitation frequency spectrum, and screening out frequency components which have integral multiple or fractional multiple relation with the fundamental frequency or harmonic component of the electrodynamic force and the energy of which synchronously changes along with the bus load current; And carrying out dynamic stiffness compensation correction on the screened frequency components based on the bus shell temperature signals, and finally separating out the narrow-band resonance risk frequency components representing the mechanical resonance excited by the electrodynamic force through the insulator-shell path.
5. The method of claim 4, wherein the generating a set of mechanical resonance risk indices comprises: Based on the narrow-band resonance risk frequency components separated in the busbar vibration characteristic spectrum set and the distribution characteristics of the narrow-band resonance risk frequency components on the spatial position, the dominant natural frequency drift track of the isolated closed busbar shell structure is identified and tracked in real time by utilizing an operation modal analysis technology; Based on the theoretical excitation frequency spectrum and the narrow-band energy characteristics which synchronously change with the current, the main conductive dynamic excitation frequency under the current operation condition is identified in real time; Analyzing a frequency approach between the dominant natural frequency and the dominant conductive dynamic excitation frequency and an electromechanical energy coupling representing an energy transfer efficiency therebetween, generating the set of mechanical resonance risk indices comprising the frequency approach and the electromechanical energy coupling.
6. The method of claim 5, wherein the real-time identification and tracking process of the dominant natural frequency drift trajectory comprises: Taking synchronous vibration signals of the supporting point monitoring position, the midspan monitoring position and the expansion joint monitoring position as input, and analyzing the multi-order working mode shape and frequency of the bus shell in an operation state based on a random subspace identification or frequency domain decomposition algorithm; fusing a preset offline knocking test result of a key bolt connection point of the bus shell, establishing a basic reference value of a structure natural frequency, and screening out a dominant natural frequency related to an integral bending or torsion main vibration mode according to the basic reference value; and carrying out thermal stiffness correction on the dominant natural frequency based on the bus shell temperature signal, and recording dynamic changes of the dominant natural frequency in time sequence to form the dominant natural frequency drift track.
7. The method of claim 6, wherein the process of analyzing the frequency proximity to electro-energy coupling comprises: Comparing the absolute value of the difference between the dominant excitation frequency and the dominant natural frequency with a safety margin threshold set according to the structural damping characteristic to obtain normalized frequency approach; Extracting vibration energy in the busbar vibration characteristic spectrum and corresponding electrodynamic excitation energy in the theoretical excitation spectrum in a narrow-band neighborhood of the main conductive dynamic excitation frequency, and taking the ratio of the vibration energy in the busbar vibration characteristic spectrum and the corresponding electrodynamic excitation energy as electric-energy coupling degree; And carrying out weighted fusion on the normalized frequency approach degree and the motor-energy coupling degree by combining with a vibration energy margin coefficient reflecting the current vibration overall level to generate a single comprehensive index for representing the mechanical resonance instantaneous risk, thereby forming the mechanical resonance risk index set.
8. The method of claim 7, wherein the process of generating the closed bus resonance risk status report comprises: Evaluating an instantaneous risk level of resonance based on the frequency approach, the motor-energy coupling, and the vibration energy margin coefficient; based on the instant risk level, evaluating the risk development rate and the accumulation trend by combining the time sequence change trend of the dominant natural frequency drift track; and according to the instant risk level, the risk development rate and the accumulated trend, performing multidimensional resonance risk state evaluation, and generating the closed bus resonance risk state report.
9. The method of claim 8, wherein said performing a multi-dimensional resonance risk state assessment comprises: if the instant risk level indicates that significant electrodynamic excitation frequency energy exists, the risk accumulation trend is stable, and the dominant natural frequency drift track is stable, judging that the observation level early warning is performed; If the instant risk level continuously rises and the risk accumulation trend shows that the dominant natural frequency drift track continuously approaches the dominant conductive dynamic excitation frequency, so that the frequency approach degree of the dominant natural frequency drift track and the dominant conductive dynamic excitation frequency is lower than a preset safety dynamic margin, judging that warning level early warning is performed; and if the instant risk level exceeds an absolute safety threshold, determining to be a mobile-level alarm.
10. An intelligent detection system for the operation state of a closed bus, characterized in that it is applied to the method as claimed in any one of claims 1 to 9, comprising: the vibration characteristic analysis module is used for acquiring a multisource real-time monitoring data set of the isolated phase closed bus, carrying out time-frequency domain transformation processing on the triaxial vibration acceleration signal based on the multisource real-time monitoring data set so as to separate and extract vibration characteristic frequency components dominated by electrodynamic pulsation and generate a bus vibration characteristic spectrum set; The resonance risk analysis module is used for carrying out operation mode analysis and electrodynamic frequency identification based on the busbar vibration characteristic spectrum set, resolving the dominant natural frequency of the busbar structure and the dominant excitation frequency of the electrodynamic force in real time, calculating the approach degree and the energy coupling degree between the dominant natural frequency and the dominant excitation frequency of the electrodynamic force, and generating a mechanical resonance risk index set; and the state report generation module is used for carrying out multidimensional assessment of resonance risk states based on the mechanical resonance risk index set and generating a closed bus resonance risk state report for guiding operation and maintenance intervention according to the multidimensional assessment.

Description

Intelligent detection method and system for operation state of enclosed bus Technical Field The application relates to the field of closed bus detection, in particular to an intelligent detection method and system for the running state of a closed bus. Background In the operation and maintenance field of key equipment of a large-scale power system, the isolated phase closed bus is used as a core hub for electric energy transmission of a power plant and a transformer substation, long-term safe and stable operation is directly related to the reliability of a main grid frame, regional power supply safety and even the safety of a generator set, and the isolated phase closed bus is pulse-setting primary equipment for guaranteeing safe and efficient operation of a modern large power grid. However, the existing bus state monitoring method mainly depends on periodic manual inspection or simple vibration amplitude threshold alarming, lacks a mechanism for carrying out real-time synchronous sensing and deep coupling analysis on multiple physical quantities, is difficult to realize accurate early warning at the initial stage of mechanical resonance risk accumulation, is more likely to realize passive warning after structural damage occurs, and misses the optimal intervention time, so that a great potential safety hazard for causing electrical short circuit or forced outage is formed. Disclosure of Invention The application provides an intelligent detection method and system for the running state of a closed bus, which are used for solving the technical problems. In a first aspect, the present application provides an intelligent detection method for an operation state of a closed bus, where the method includes: The method comprises the steps of acquiring a multisource real-time monitoring data set of an isolated phase closed bus, carrying out time-frequency domain transformation processing on a triaxial vibration acceleration signal based on the multisource real-time monitoring data set to separate and extract vibration characteristic frequency components led by electrodynamic pulsation to generate a bus vibration characteristic spectrum set, carrying out operation modal analysis and electrodynamic frequency identification based on the bus vibration characteristic spectrum set, real-time resolving the leading natural frequency and the electrodynamic main excitation frequency of a bus structure, calculating the approach degree and the energy coupling degree between the leading natural frequency and the electrodynamic main excitation frequency, and generating a mechanical resonance risk index set, carrying out multidimensional assessment of a resonance risk state based on the mechanical resonance risk index set, and generating a closed bus resonance risk state report for guiding operation and maintenance intervention according to the multi-dimensional assessment. Through the technical scheme, early accurate early warning and quantitative evaluation of the mechanical resonance risk of the enclosed bus are realized, and the operation and maintenance mode is promoted to change from post-overhaul to predictive maintenance. The method can effectively avoid sudden faults caused by resonance, obviously improve the safety and reliability of key equipment of the power grid, reduce unplanned shutdown loss and ensure continuous stability of power supply. The method comprises the steps of obtaining a multi-source real-time monitoring data set which is arranged at a specific structural position point of a phase-separated closed bus shell, wherein the multi-source real-time monitoring data set comprises three-axis vibration acceleration signals, three-phase current waveform signals and bus shell temperature signals which are synchronously collected, calculating fundamental electric frequency and harmonic components thereof as theoretical excitation frequency spectrums based on the three-phase current waveform signals, carrying out time-frequency domain transformation on the three-axis vibration acceleration signals to obtain actual measurement vibration frequency spectrums, carrying out decoupling analysis on the actual measurement vibration frequency spectrums and the theoretical excitation frequency spectrums based on the bus shell temperature signals, filtering broadband noise caused by environmental background vibration and internal particle impact, separating out narrow-band resonance risk frequency components which are caused by transmission of conductor electric power to the shell through an insulator supporting structure, and generating the bus vibration characteristic frequency spectrum set. The method comprises the steps of acquiring a multisource real-time monitoring data set arranged at a specific structural position point of an outer shell of a phase-separated closed bus, synchronously arranging a sensor group at a key position of the outer shell based on structural dynamics characteristics and vibration transmission path