UPS inverter fault self-recovery control method and device

Abstract

The application discloses a UPS inverter power supply fault self-recovery control method and device, wherein the method comprises the following steps: S1, collecting characteristic quantity data of UPS inverter power supply output; S2, extracting fault characteristic quantity from the output characteristic quantity data based on wavelet transform frequency domain analysis method; S3, performing fault diagnosis on the UPS inverter power supply according to the extracted fault characteristic quantity; and S4, performing fault module isolation and system load capacity distribution according to the fault diagnosis result. The application is applied to UPS inverter power supply fault detection and equipment operation monitoring occasions, realizes characteristic quantity detection of each functional unit in the UPS inverter power supply system, improves the reliability of the inverter power supply system through fault identification and fault isolation, and enables the system to maintain a relatively stable state without affecting power supply demand.

Description

Technical Field

[0001] This invention belongs to the field of UPS inverter power supply technology, specifically relating to a UPS inverter power supply fault self-healing control method and device. Background Technology

[0002] With the development of energy and power supply technologies, and the in-depth research into smart power supply technologies, UPS inverters are being used more and more. These UPS inverter applications not only improve the reliability of equipment power supply but also enhance the emergency power supply structure in various application scenarios. However, the stability and dynamic fault protection of UPS inverters have a profound impact on the widespread adoption of these devices.

[0003] To improve the fault self-healing control of UPS inverters, the industry has proposed a modular UPS inverter structure, an intelligent fault unit isolation algorithm with automatic optimization and high-speed calculation, and established an online dynamic fault identification and seamless self-healing control method for UPS inverters. This improves the quality of power supply voltage and changes the current situation of low fault risk resistance and difficulty in post-fault analysis.

[0004] According to the circuit operation function, UPS inverter power supply failures can be sudden shutdown failures and low performance failures. When a low performance failure occurs, it only manifests as a degradation in system performance, without the power supply shutting down, making the fault even more difficult to detect. If the equipment operates in this state for a long time, it will seriously threaten other components and loads of the system. Summary of the Invention

[0005] The technical problem to be solved by the embodiments of the present invention is to provide a UPS inverter power supply fault self-healing control method and device to realize online dynamic fault identification and seamless self-healing control of UPS inverter power supply, and improve the online reliable operation time of UPS inverter power supply.

[0006] To solve the above-mentioned technical problems, the present invention provides a UPS inverter power supply fault self-healing control method, comprising:

[0007] Step S1: Collect characteristic quantity data of the UPS inverter power supply output;

[0008] Step S2: Based on the frequency domain analysis method of wavelet transform, extract fault feature quantities from the output feature quantity data;

[0009] Step S3: Perform fault diagnosis on the UPS inverter power supply based on the extracted fault characteristic quantities;

[0010] Step S4: Isolate the faulty module and allocate the system load capacity based on the fault diagnosis results.

[0011] Further, step S1 specifically includes:

[0012] The voltage and current output of the UPS inverter power supply are subjected to power conversion, signal conditioning, and filtering. The power conversion transforms the output voltage and current of each module of the UPS inverter power supply into a low voltage signal of 0-5V that is linearly related to them. The signal conditioning and filtering process performs follow-up and low-pass filtering on the original output voltage and current signals, and transmits the useful signals to the control management chip for calculation, logic judgment, and command control of voltage, current, frequency, amplitude, phase, and waveform data, thereby realizing the acquisition of output characteristic data of each module of the UPS inverter power supply.

[0013] Further, step S2 specifically includes:

[0014] The frequency domain analysis method based on wavelet transform uses the orthogonal real wavelet basis function of Db5 to first decompose the inverter voltage output voltage signal to obtain wavelet coefficients at different scales; then, it performs 4-level wavelet decomposition to obtain its approximate coefficients and detail coefficients, and finally calculates the wavelet energy of its full coefficients at different times as fault characteristic quantities.

[0015] Furthermore, the approximation coefficients and detail coefficients are obtained as follows:

[0016] For the high frequency of the upper frequency division, use 2 j (j=0~1) After further frequency division, the scaling coefficients M array of wavelet decomposition is as follows:

[0017] M = [S1, S2, S3, S4]

[0018] Among them, S i The scaling coefficients of wavelet decomposition are: S1 corresponds to 500Hz–250Hz, S2 corresponds to 250Hz–125Hz, S3 corresponds to 125Hz–62.5Hz, and S4 corresponds to 62.5Hz–31.25Hz, based on a sampling frequency of 1.0kHz. The fundamental frequency component in the analyzed signal is reflected by the scaling coefficient S4, and the third harmonic component is reflected by S3, thereby extracting wavelet energy as fault characteristic quantity.

[0019] Furthermore, step S3 specifically includes: comparing the extracted fault feature quantity with a preset feature quantity threshold in real time; if the value exceeds the preset feature quantity threshold, then diagnosing a fault in the UPS inverter power supply.

[0020] Furthermore, step S4 specifically includes:

[0021] Based on the diagnostic results, and following the control commands of the control management chip, the high-capacity relay is controlled to disconnect the faulty module output of the UPS inverter power supply, thus completing the isolation of the faulty module.

[0022] The normal modules of the UPS inverter power supply automatically adjust the load redistribution according to the total load current and the number of normal modules.

[0023] The present invention also provides a UPS inverter power supply fault self-healing control device, comprising:

[0024] The feature acquisition unit is used to acquire feature data of the UPS inverter power supply output.

[0025] The control and management chip is used for frequency domain analysis based on wavelet transform to extract fault feature quantities from the output feature quantity data; and to perform fault diagnosis on the UPS inverter power supply based on the extracted fault feature quantities.

[0026] The isolation control unit is used to isolate faulty modules and allocate system load capacity based on fault diagnosis results.

[0027] Furthermore, the feature acquisition unit is specifically used for:

[0028] The voltage and current output of the UPS inverter power supply are subjected to power conversion, signal conditioning, and filtering. The power conversion transforms the output voltage and current of each module of the UPS inverter power supply into a low voltage signal of 0-5V that is linearly related to them. The signal conditioning and filtering process performs follow-up and low-pass filtering on the original output voltage and current signals, and transmits the useful signals to the control management chip for calculation, logic judgment, and command control of voltage, current, frequency, amplitude, phase, and waveform data, thereby realizing the acquisition of output characteristic data of each module of the UPS inverter power supply.

[0029] Furthermore, the control and management chip is specifically used for:

[0030] The frequency domain analysis method based on wavelet transform uses the orthogonal real wavelet basis function of Db5 to first decompose the inverter voltage output voltage signal to obtain wavelet coefficients at different scales; then, it performs 4-level wavelet decomposition to obtain its approximate coefficients and detail coefficients, and finally calculates the wavelet energy of its full coefficients at different times as fault characteristic quantities.

[0031] Furthermore, the approximation coefficients and detail coefficients are obtained as follows:

[0032] For the high frequency of the upper frequency division, use 2 j (j=0~1) After further frequency division, the scaling coefficients M array of wavelet decomposition is as follows:

[0033] M = [S1, S2, S3, S4]

[0034] Among them, S iThe scaling coefficients of wavelet decomposition are: S1 corresponds to 500Hz–250Hz, S2 corresponds to 250Hz–125Hz, S3 corresponds to 125Hz–62.5Hz, and S4 corresponds to 62.5Hz–31.25Hz, based on a sampling frequency of 1.0kHz. The fundamental frequency component in the analyzed signal is reflected by the scaling coefficient S4, and the third harmonic component is reflected by S3, thereby extracting wavelet energy as fault characteristic quantity.

[0035] The present invention has the following beneficial effects: It is used in the application of fault detection and equipment operation monitoring of UPS inverter power supply. It realizes the detection of characteristic quantities of each functional unit in the UPS inverter power supply system. By identifying and isolating faults, it improves the reliability of the inverter power supply system and enables the system to maintain a relatively stable state without affecting the power supply demand. Attached Figure Description

[0036] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart illustrating a UPS inverter power supply fault self-healing control method according to an embodiment of the present invention.

[0038] Figure 2 This is a schematic diagram of the implementation architecture of an embodiment of the present invention. Detailed Implementation

[0039] The following description of the embodiments is taken with reference to the accompanying drawings, which illustrate specific embodiments in which the invention can be implemented.

[0040] This invention addresses the varying output voltage characteristics of circuits based on different fault types, providing a diagnostic method for UPS inverters. This method is used for fault identification and fault module isolation in UPS inverters. Please refer to [link / reference]. Figure 1 As shown, Embodiment 1 of the present invention provides a UPS inverter power supply fault self-healing control method, including:

[0041] Step S1: Collect characteristic quantity data of the UPS inverter power supply output;

[0042] Step S2: Based on the frequency domain analysis method of wavelet transform, extract fault feature quantities from the output feature quantity data;

[0043] Step S3: Perform fault diagnosis on the UPS inverter power supply based on the extracted fault characteristic quantities;

[0044] Step S4: Isolate the faulty module and allocate the system load capacity based on the fault diagnosis results.

[0045] Specifically, please combine Figure 2 As shown, step S1 specifically includes: performing power conversion, signal conditioning, and filtering on the voltage and current output of the UPS inverter power supply. Power conversion refers to converting the output voltage and current of each module of the UPS inverter power supply into a low voltage signal of 0-5V that is linearly related to it, which can be received and processed by the control management chip. Signal conditioning and filtering involves performing follow-up and low-pass filtering on the original output voltage and current signals, and transmitting the useful signals to the control management chip for calculation, logic judgment, and command control of voltage, current, frequency, amplitude, phase, and waveform data, thereby realizing the acquisition of output characteristic data of each module of the UPS inverter power supply.

[0046] The control and management chip mainly performs the functions of data acquisition, calculation, logical judgment, and output control, including the calculation of the inverter power output characteristics, fault characteristic extraction, and fault identification and diagnosis. Step S2, fault characteristic extraction, employs a wavelet transform-based frequency domain analysis method. This method is based on the frequency characteristics of the original signal, analyzing information that cannot be detected in the time domain to accurately determine the steady-state and dynamic characteristics of the original signal, thereby completing the identification and extraction of fault characteristics of the UPS inverter output voltage.

[0047] Specifically, the frequency domain analysis method based on wavelet transform uses the orthogonal real wavelet basis function of Db5 to first decompose the inverter voltage output voltage signal to obtain wavelet coefficients at different scales. Then, it performs four-level wavelet decomposition to obtain its approximate coefficients and detail coefficients. Finally, it calculates the wavelet energy of its full coefficients at different times as fault characteristic quantities.

[0048] (1) Using the orthogonal real wavelet basis function of Db5, the output voltage signal of the UPS inverter power supply is decomposed according to different wavelet frequency domain ranges to obtain wavelet coefficients of different scales;

[0049] (2) The specific process for obtaining the approximation coefficients and detail coefficients is as follows:

[0050] First, we establish the maximum absolute value M array for each component, which is the high-frequency component divided by 2 from the higher-level frequency division. j (j=0~1) After further frequency division, the scaling coefficients M array of wavelet decomposition is as follows:

[0051] M = [S1, S2, S3, S4]

[0052] Among them, S iThe decomposition coefficients for wavelet decomposition are: S1 (500Hz–250Hz), S2 (250Hz–125Hz), S3 (125Hz–62.5Hz), and S4 (62.5Hz–31.25Hz) based on a sampling frequency of 1.0kHz. From the perspective of decomposition scale, the fundamental frequency component of the analyzed signal is reflected by coefficient S4, and the third harmonic component is reflected by S3, thus extracting wavelet energy as a fault characteristic.

[0053] The fault identification and diagnosis process uses the fault feature quantities extracted in the previous step as the input data source for the model to complete the fault diagnosis and location of each module of the UPS inverter. Specifically, the extracted fault feature quantities are compared with preset feature quantity thresholds in real time. If the value exceeds the preset feature quantity threshold, a fault is diagnosed in the UPS inverter.

[0054] Step S4, based on the diagnostic results and following the control commands of the control management chip, controls the fast, high-capacity relay to disconnect the faulty module output of the UPS inverter, thus isolating the faulty module. Simultaneously, the normal modules of the UPS inverter automatically redistribute their load according to the total load current and the number of normal modules, enabling automatic, timely, and accurate detection of the faulty module, timely fault isolation, and self-healing of the inverter system. This allows the system to maintain a relatively stable state without affecting power supply requirements.

[0055] Corresponding to the UPS inverter power supply fault self-healing control method of Embodiment 1 of the present invention, Embodiment 2 of the present invention provides a UPS inverter power supply fault self-healing control device, comprising:

[0056] The feature acquisition unit is used to acquire feature data of the UPS inverter power supply output.

[0057] The control and management chip is used for frequency domain analysis based on wavelet transform to extract fault feature quantities from the output feature quantity data; and to perform fault diagnosis on the UPS inverter power supply based on the extracted fault feature quantities.

[0058] The isolation control unit is used to isolate faulty modules and allocate system load capacity based on fault diagnosis results.

[0059] Furthermore, the feature acquisition unit is specifically used for:

[0060] The voltage and current output of the UPS inverter power supply are subjected to power conversion, signal conditioning, and filtering. The power conversion transforms the output voltage and current of each module of the UPS inverter power supply into a low voltage signal of 0-5V that is linearly related to them. The signal conditioning and filtering process performs follow-up and low-pass filtering on the original output voltage and current signals, and transmits the useful signals to the control management chip for calculation, logic judgment, and command control of voltage, current, frequency, amplitude, phase, and waveform data, thereby realizing the acquisition of output characteristic data of each module of the UPS inverter power supply.

[0061] Furthermore, the control and management chip is specifically used for:

[0062] The frequency domain analysis method based on wavelet transform uses the orthogonal real wavelet basis function of Db5 to first decompose the inverter voltage output voltage signal to obtain wavelet coefficients at different scales; then, it performs 4-level wavelet decomposition to obtain its approximate coefficients and detail coefficients, and finally calculates the wavelet energy of its full coefficients at different times as fault characteristic quantities.

[0063] Furthermore, the approximation coefficients and detail coefficients are obtained as follows:

[0064] For the high frequency of the upper frequency division, use 2 j (j=0~1) After further frequency division, the scaling coefficients M array of wavelet decomposition is as follows:

[0065] M = [S1, S2, S3, S4]

[0066] Among them, S i The scaling coefficients of wavelet decomposition are: S1 corresponds to 500Hz–250Hz, S2 corresponds to 250Hz–125Hz, S3 corresponds to 125Hz–62.5Hz, and S4 corresponds to 62.5Hz–31.25Hz, based on a sampling frequency of 1.0kHz. The fundamental frequency component in the analyzed signal is reflected by the scaling coefficient S4, and the third harmonic component is reflected by S3, thereby extracting wavelet energy as fault characteristic quantity.

[0067] Furthermore, the control management chip is also used to: compare the extracted fault feature quantity with the preset feature quantity threshold in real time; if the value exceeds the preset feature quantity threshold, then diagnose a fault in the UPS inverter power supply.

[0068] Furthermore, the isolation control unit is specifically used for:

[0069] Based on the diagnostic results, and following the control commands of the control management chip, the high-capacity relay is controlled to disconnect the faulty module output of the UPS inverter power supply, thus completing the isolation of the faulty module.

[0070] The normal modules of the UPS inverter power supply automatically adjust the load redistribution according to the total load current and the number of normal modules.

[0071] For the working principle and process of this embodiment, please refer to the description of the aforementioned Embodiment 1 of the present invention, which will not be repeated here.

[0072] As can be seen from the above description, compared with the prior art, the beneficial effects of the present invention are as follows: The present invention is used in the application of fault detection and equipment operation monitoring of UPS inverter power supply. It realizes the detection of characteristic quantities of each functional unit in the UPS inverter power supply system. By identifying and isolating faults, it improves the reliability of the inverter power supply system, enabling the system to maintain a relatively stable state and not affect the power supply demand.

[0073] The above description is merely a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. Therefore, any equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A UPS inverter power supply fault self-healing control method, characterized in that, include: Step S1: Collect characteristic quantity data of the UPS inverter power supply output; Step S2: Based on the frequency domain analysis method of wavelet transform, extract fault feature quantities from the output feature quantity data; Step S3: Perform fault diagnosis on the UPS inverter power supply based on the extracted fault characteristic quantities; Step S4: Isolate the faulty module and allocate the system load capacity based on the fault diagnosis results; Step S2 specifically includes: The frequency domain analysis method based on wavelet transform employs the orthogonal real wavelet basis function Db5 to first decompose the inverter voltage output signal and obtain wavelet coefficients at different scales. Then, a four-level wavelet decomposition is performed to obtain its approximate coefficients and detail coefficients. Finally, the wavelet energy of its full coefficients at different times is calculated as a fault characteristic quantity. The method for obtaining the approximate coefficients and detail coefficients is as follows: For the high frequency of the upper frequency division, use 2 j Further frequency division, where j=0~1, the wavelet decomposition scaling coefficients M array is as follows: M = [S1, S2, S3, S4] Among them, S i The scaling coefficients of wavelet decomposition are: S1 corresponds to 500Hz~250Hz, S2 corresponds to 250~125Hz, S3 corresponds to 125Hz~62.5Hz, and S4 corresponds to 62.5Hz~31.25Hz, based on a sampling frequency of 1.0kHz. The fundamental frequency component in the analyzed signal is reflected by the scaling coefficient S4, and the third harmonic component is reflected by S3, thereby extracting wavelet energy as fault characteristic quantity. Step S4 specifically includes: Based on the diagnostic results, and following the control commands of the control management chip, the high-capacity relay is controlled to disconnect the faulty module output of the UPS inverter power supply, thus completing the isolation of the faulty module. The normal modules of the UPS inverter power supply automatically adjust the load redistribution according to the total load current and the number of normal modules.

2. The UPS inverter power supply fault self-healing control method according to claim 1, characterized in that, Step S1 specifically includes: The voltage and current output of the UPS inverter power supply are subjected to power conversion, signal conditioning, and filtering. The power conversion transforms the output voltage and current of each module of the UPS inverter power supply into a low voltage signal of 0-5V that is linearly related to them. The signal conditioning and filtering process performs follow-up and low-pass filtering on the original output voltage and current signals, and transmits the useful signals to the control management chip for calculation, logic judgment, and command control of voltage, current, frequency, amplitude, phase, and waveform data, thereby realizing the acquisition of output characteristic data of each module of the UPS inverter power supply.

3. The UPS inverter power supply fault self-healing control method according to claim 1, characterized in that, Step S3 specifically includes: comparing the extracted fault feature quantity with the preset feature quantity threshold in real time; if the value exceeds the preset feature quantity threshold, then diagnosing a fault in the UPS inverter power supply.

4. A UPS inverter power supply fault self-healing control device, characterized in that, include: The feature acquisition unit is used to acquire feature data of the UPS inverter power supply output. The control and management chip is used for frequency domain analysis based on wavelet transform to extract fault feature quantities from the output feature quantity data; and to perform fault diagnosis on the UPS inverter power supply based on the extracted fault feature quantities. The isolation control unit is used to isolate faulty modules and allocate system load capacity based on fault diagnosis results. The control and management chip is specifically used for: frequency domain analysis based on wavelet transform, employing the orthogonal real wavelet basis function of Db5, first decomposing the inverter voltage output voltage signal to obtain wavelet coefficients at different scales; then performing 4-level wavelet decomposition to obtain its approximate coefficients and detail coefficients, and finally calculating the wavelet energy of its full coefficients at different times as fault characteristic quantities; wherein, the method for obtaining the approximate coefficients and detail coefficients is as follows: For the high frequency of the upper frequency division, use 2 j Further frequency division, where j=0~1, the wavelet decomposition scaling coefficients M array is as follows: M = [S1, S2, S3, S4] Among them, S i The scaling coefficients of wavelet decomposition are: S1 corresponds to 500Hz~250Hz, S2 corresponds to 250~125Hz, S3 corresponds to 125Hz~62.5Hz, and S4 corresponds to 62.5Hz~31.25Hz, based on a sampling frequency of 1.0kHz. The fundamental frequency component in the analyzed signal is reflected by the scaling coefficient S4, and the third harmonic component is reflected by S3, thereby extracting wavelet energy as fault characteristic quantity. The isolation control unit is specifically used to: based on the diagnostic results and according to the control commands of the control management chip, control the fast high-capacity relay to disconnect the output of the faulty module of the UPS inverter power supply, thereby completing the isolation of the faulty module; and simultaneously, the normal modules of the UPS inverter power supply automatically adjust their load redistribution according to the total load current and the number of normal modules.

5. The UPS inverter power supply fault self-healing control device according to claim 4, characterized in that, The feature acquisition unit is specifically used for: The voltage and current output of the UPS inverter power supply are subjected to power conversion, signal conditioning, and filtering. The power conversion transforms the output voltage and current of each module of the UPS inverter power supply into a low voltage signal of 0-5V that is linearly related to them. The signal conditioning and filtering process performs follow-up and low-pass filtering on the original output voltage and current signals, and transmits the useful signals to the control management chip for calculation, logic judgment, and command control of voltage, current, frequency, amplitude, phase, and waveform data, thereby realizing the acquisition of output characteristic data of each module of the UPS inverter power supply.

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