CN112986858A - Ground fault judgment method based on zero sequence wavelet decomposition calculation - Google Patents
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Abstract
The ground fault judgment method based on zero sequence wavelet decomposition calculation provided by the embodiment of the application comprises the steps of detecting zero sequence voltage and zero sequence current at the installation position of single-phase ground fault line selection diagnosis equipment; and (3) separating high and low frequency components of the zero sequence current waveform data before and after the fault occurrence time through wavelet analysis, and judging that the fault occurs when the maximum value of the high frequency components is larger than a certain multiple of the average value of the low frequency components. Because the judgment process is not influenced by the condition whether the neutral point is provided with the arc suppression coil or not, and under the condition that the arc suppression coil is arranged, the judgment accuracy is higher than that of a neutral point ungrounded system. The method is combined with a zero sequence current voltage angle judgment algorithm, can be used for diagnosing the single-phase earth fault of the power distribution network of the small current earth system, quickens the processing speed of the single-phase earth fault of the power distribution network, and improves the power supply reliability of the power distribution network system.
Description
Technical Field
The application belongs to the field of ground fault judgment, and particularly relates to a ground fault judgment method based on zero sequence wavelet decomposition calculation.
Background
At present, the power distribution network in urban areas of China mostly adopts the form of underground cables or overhead insulated conductors, and the probability of short circuit and single-phase earth fault of lines is relatively low. In rural areas and mountain areas, due to economic considerations, the line is still paved mainly by using an overhead bare conductor mode, at ordinary times, due to various natural or artificial reasons and the like, single-phase grounding accidents are more, particularly in mountain areas, under the weather conditions of wind and snow in winter or thunderstorm in summer, the single-phase grounding condition of the line is easy to happen in succession, partial single-phase grounding can be further deteriorated to be a short-circuit fault, the severe weather conditions are not suitable for outgoing inspection and maintenance when the fault happens, and the maintenance can be started only by stopping power of the whole line and waiting for the weather to be changed.
For single-phase earth faults, because the power distribution network line in China adopts a low-current earth operation mode, the operation condition of the power distribution network system is complex and changeable, the electrical characteristic quantity of the fault is not obvious when the single-phase earth fault occurs in the system, the judgment of the fault line and the position is difficult, and the single-phase earth fault of the power distribution network of the low-current earth system is difficult to puzzle the operation of the power distribution network in China for many years.
Disclosure of Invention
The embodiment of the application provides a ground fault judgment method based on zero sequence wavelet decomposition calculation, and the fault outgoing line is judged by utilizing the multiple of the transient component of the zero sequence current relative to the low-frequency component of the zero sequence current, so that the method has higher accuracy.
The embodiment of the application provides a ground fault judgment method based on zero sequence wavelet decomposition calculation, which comprises the following steps:
detecting zero sequence voltage and zero sequence current at the installation position of the single-phase earth fault line selection diagnostic equipment;
when detecting that the zero sequence voltage value is larger than U0setOr the zero sequence current value is larger than I0setAcquiring zero sequence voltage and zero sequence current, and performing wavelet decomposition on the waveform data of the zero sequence voltage and the zero sequence current exceeding a set value;
obtaining a maximum value of a high-frequency component at the moment when the representative mutation point determines the fault;
performing wavelet decomposition twice on current data near the catastrophe point time, taking a low-frequency part obtained by the first decomposition and a high-frequency part obtained by the second decomposition, and obtaining an average value of the low-frequency part and a maximum value of the high-frequency part;
if the check low frequency average value is larger than the set value IsetThen, the proportionality coefficient K is obtained as I omegamax/IaverageWhen K is greater than a set value KsetAnd outputting a fault judgment signal.
Optionally, theWhen detecting that the zero sequence voltage value is larger than U0setOr the zero sequence current value is larger than I0setThen, obtaining zero sequence voltage and zero sequence current, and performing wavelet decomposition on the waveform data of the zero sequence voltage and the zero sequence current exceeding a set value comprises the following steps:
and taking out the waveform data of the zero-sequence current or the zero-sequence voltage exceeding the set value to perform wavelet decomposition calculation as shown in a formula I:
Uj＝Uj-1+Uωj-1formula one;
in the formula of UjFor zero-sequence voltage waveform data before and after a fault, Uj-1Is the low-frequency component, U omega, in the waveform data of the zero-sequence voltage after wavelet decompositionj-1The high-frequency component in the waveform data of the zero-sequence voltage after wavelet decomposition of the zero-sequence voltage is obtained;
Ij＝Ij-1+Iωj-1a formula two;
in the above formula, IjFor zero-sequence current waveform data before and after a fault, Ij-1Is the low-frequency component, I omega, in the waveform data of the zero-sequence current after wavelet decompositionj-1The high-frequency component in the waveform data of the zero-sequence voltage after the zero-sequence current is subjected to wavelet decomposition is adopted.
Optionally, the obtaining the representative mutation point to determine the maximum value of the high-frequency component at the time of the fault occurrence includes:
according to the high-frequency component U omega of the voltage or currentj-1Or I omegaj-1The position of the maximum mutation point is determined, so that the time point of the fault occurrence is determined, and zero sequence current waveform data of a period before and after the period of time are taken out for analysis and processing again;
Ij＝Ij-1+Iωj-1＝Ij-1+Ij-2+Iωj-2a formula III;
in the formula Ij-2Is a low-frequency component obtained by decomposing the low-frequency component in the zero-sequence voltage waveform data after wavelet decomposition of the zero-sequence current, I omegaj-2Is the high frequency component after wavelet decomposition again.
Optionally, the performing wavelet decomposition twice on the current data near the catastrophe point time, taking the low-frequency part obtained by the first decomposition and the high-frequency part obtained by the second decomposition, and obtaining the average value of the low-frequency part and the maximum value of the high-frequency part includes:
carry out the formula IVmaxFor I omega in decomposed high-frequency componentj-2Operation of the maximum value;
Iωmax＝max(|Iωj-2|), formula four;
the low-frequency component I of the zero-sequence current is obtained as shown in the formula IVj-1Average value of (1)averageThe operation of (1);
Iaverage＝average(|Ij-1|), formula five.
The beneficial effect that technical scheme that this application provided brought is:
when the method is applied to a line switch, when a single-phase earth fault occurs in a system, the switch close to the fault section on the line can make an accurate response, and the power supply reliability of a power distribution network can be greatly improved.
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In order to more clearly illustrate the technical solutions of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flow chart of a ground fault determination method based on zero sequence wavelet decomposition calculation.
Detailed Description
To make the structure and advantages of the present application clearer, the structure of the present application will be further described with reference to the accompanying drawings.
The embodiment of the application provides a ground fault judgment method based on zero sequence wavelet decomposition calculation, and a specific implementation software flow is shown in fig. 1.
11. Detecting zero sequence voltage and zero sequence current at the installation position of the single-phase earth fault line selection diagnostic equipment;
12. when detecting that the zero sequence voltage value is larger than U0setOr the zero sequence current value is larger than I0setAcquiring zero sequence voltage and zero sequence current, and performing wavelet decomposition on the waveform data of the zero sequence voltage and the zero sequence current exceeding a set value;
13. obtaining a maximum value of a high-frequency component at the moment when the representative mutation point determines the fault;
14. performing wavelet decomposition twice on current data near the catastrophe point time, taking a low-frequency part obtained by the first decomposition and a high-frequency part obtained by the second decomposition, and obtaining an average value of the low-frequency part and a maximum value of the high-frequency part;
15. if the check low frequency average value is larger than the set value IsetThen, the proportionality coefficient K is obtained as I omegamax/IaverageWhen K is greater than a set value KsetAnd outputting a fault judgment signal.
In the implementation, the main ideas of the technical scheme provided by the application are as follows: detecting the zero sequence voltage and the zero sequence current of the system, and measuring that the zero sequence voltage of the line is greater than a set value U0setOr zero sequence current exceeding a set value I0SetWhen the zero-sequence voltage current changes, the zero-sequence current waveform before and after the zero-sequence voltage current changes is recorded, wavelet calculation analysis is carried out on the zero-sequence current waveform data to separate high-frequency and low-frequency components, a fault occurrence time point is determined according to high-frequency component points, values of the high-frequency component points before and after the fault occurrence time are extracted, data comparison is carried out on the values of the high-frequency component points and the low-frequency component points, and when the high-frequency component values are higher than the low-frequency component average value by more than a certain multiple, a single-phase grounding fault.
Wavelet Transform (WT), a transformation analysis method, it inherits and develops the thought of localization of short-time Fourier transform, overcome the window size and does not change with the frequency at the same time, can provide a "time-frequency" window changed with frequency, the main characteristic is that can fully highlight the characteristic of some aspects of the problem through the transformation, can analyze the localization of time (space) frequency, carry on the multiple-scale refining to the signal (function) step by step through the translation operation of the expansion, finally reach the time subdivision of high frequency, frequency subdivision of low frequency, can adapt to the requirement of time-frequency signal analysis automatically, thus can focus on the arbitrary detail of the signal, become the ideal tool of time-frequency analysis and processing of the signal.
The technology can realize fault location quickly, the automation degree of the power distribution network can be greatly improved, the power failure time of a user is greatly shortened, the loss caused by power failure is reduced, the defects of a low-current grounding operation mode are overcome, and good social and economic benefits are achieved.
Optionally, when the detected zero sequence voltage value is greater than U, the method further comprises0setOr the zero sequence current value is larger than I0setThen, obtaining zero sequence voltage and zero sequence current, and performing wavelet decomposition on the waveform data of the zero sequence voltage and the zero sequence current exceeding a set value comprises the following steps:
and taking out the waveform data of the zero-sequence current or the zero-sequence voltage exceeding the set value to perform wavelet decomposition calculation as shown in a formula I:
Uj＝Uj-1+Uωj-1formula one;
in the formula of UjFor zero-sequence voltage waveform data before and after a fault, Uj-1Is the low-frequency component, U omega, in the waveform data of the zero-sequence voltage after wavelet decompositionj-1The high-frequency component in the waveform data of the zero-sequence voltage after wavelet decomposition of the zero-sequence voltage is obtained.
Ij＝Ij-1+Iωj-1A formula two;
in the above formula, IjFor zero-sequence current waveform data before and after a fault, Ij-1Is the low-frequency component, I omega, in the waveform data of the zero-sequence current after wavelet decompositionj-1The high-frequency component in the waveform data of the zero-sequence voltage after the zero-sequence current is subjected to wavelet decomposition is adopted.
Optionally, the obtaining the representative mutation point to determine the maximum value of the high-frequency component at the time of the fault occurrence includes:
according to the high-frequency component U omega of the voltage or currentj-1Or I omegaj-1The position of the maximum catastrophe point, thereby determining the time point of the fault occurrence, and taking out the time before and after the periodAnd analyzing and processing the waveform data of the zero-sequence current of one period again.
Ij＝Ij-1+Iωj-1＝Ij-1+Ij-2+Iωj-2A formula III;
in the formula Ij-2Is a low-frequency component obtained by decomposing the low-frequency component in the zero-sequence voltage waveform data after wavelet decomposition of the zero-sequence current, I omegaj-2Is the high frequency component after wavelet decomposition again.
Optionally, the performing wavelet decomposition twice on the current data near the catastrophe point time, taking the low-frequency part obtained by the first decomposition and the high-frequency part obtained by the second decomposition, and obtaining the average value of the low-frequency part and the maximum value of the high-frequency part includes:
carry out the formula IVmaxFor I omega in decomposed high-frequency componentj-2Operation of the maximum value;
Iωmax＝max(|Iωj-2|), formula four;
the low-frequency component I of the zero-sequence current is obtained as shown in the formula IVj-1Average value of (1)averageThe operation of (1);
Iaverage＝average(|Ij-1|), formula five.
The method is not influenced by the condition that whether the neutral point is provided with the arc suppression coil or not, and the judgment accuracy is higher than that of a neutral point ungrounded system under the condition that the arc suppression coil is arranged. The method is combined with a zero sequence current voltage angle judgment algorithm, can be used for diagnosing the single-phase earth fault of the power distribution network of the small current earth system, quickens the processing speed of the single-phase earth fault of the power distribution network, and improves the power supply reliability of the power distribution network system.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (4)
1. The ground fault judgment method based on zero sequence wavelet decomposition calculation is characterized by comprising the following steps:
detecting zero sequence voltage and zero sequence current at the installation position of the single-phase earth fault line selection diagnostic equipment;
when detecting that the zero sequence voltage value is larger than U0setOr the zero sequence current value is larger than I0setAcquiring zero sequence voltage and zero sequence current, and performing wavelet decomposition on the waveform data of the zero sequence voltage and the zero sequence current exceeding a set value;
obtaining a maximum value of a high-frequency component at the moment when the representative mutation point determines the fault;
performing wavelet decomposition twice on current data near the catastrophe point time, taking a low-frequency part obtained by the first decomposition and a high-frequency part obtained by the second decomposition, and obtaining an average value of the low-frequency part and a maximum value of the high-frequency part;
if the check low frequency average value is larger than the set value IsetThen, the proportionality coefficient K is obtained as I omegamax/IaverageWhen K is greater than a set value KsetAnd outputting a fault judgment signal.
2. The ground fault determination method based on zero-sequence wavelet decomposition calculation as claimed in claim 1, wherein when detecting that the zero-sequence voltage value is greater than U, the method further comprises0setOr the zero sequence current value is larger than I0setThen, obtaining zero sequence voltage and zero sequence current, and performing wavelet decomposition on the waveform data of the zero sequence voltage and the zero sequence current exceeding a set value comprises the following steps:
and taking out the waveform data of the zero-sequence current or the zero-sequence voltage exceeding the set value to perform wavelet decomposition calculation as shown in a formula I:
Uj＝Uj-1+Uωj-1formula one;
in the formula of UjFor zero-sequence voltage waveform data before and after a fault, Uj-1Is the low-frequency component, U omega, in the waveform data of the zero-sequence voltage after wavelet decompositionj-1The high-frequency component in the waveform data of the zero-sequence voltage after wavelet decomposition of the zero-sequence voltage is obtained;
Ij＝Ij-1+Iωj-1a formula two;
in the above formula, IjFor zero-sequence current waveform data before and after a fault, Ij-1Is the low-frequency component, I omega, in the waveform data of the zero-sequence current after wavelet decompositionj-1The high-frequency component in the waveform data of the zero-sequence voltage after the zero-sequence current is subjected to wavelet decomposition is adopted.
3. The ground fault judgment method based on zero-sequence wavelet decomposition calculation of claim 1, wherein the obtaining of the maximum value of the high-frequency component at the fault occurrence time determined by the representative mutation point comprises:
according to the high-frequency component U omega of the voltage or currentj-1Or I omegaj-1The position of the maximum mutation point is determined, so that the time point of the fault occurrence is determined, and zero sequence current waveform data of a period before and after the period of time are taken out for analysis and processing again;
Ij＝Ij-1+Iωj-1＝Ij-1+Ij-2+Iωj-2a formula III;
in the formula Ij-2Is a low-frequency component obtained by decomposing the low-frequency component in the zero-sequence voltage waveform data after wavelet decomposition of the zero-sequence current, I omegaj-2Is the high frequency component after wavelet decomposition again.
4. The ground fault judgment method based on zero sequence wavelet decomposition calculation according to claim 1, wherein the performing wavelet decomposition twice on the current data near the mutation point time, taking the low frequency part obtained by the first decomposition and the high frequency part obtained by the second decomposition, and obtaining the average value of the low frequency part and the maximum value of the high frequency part comprises:
performing the operation of taking I omega max as the maximum value of I omega j-2 in the decomposed high-frequency component as shown in the formula IV;
i ω max ═ max (| I ω j-2|), equation four;
executing the operation of taking the average value Iaverage of the low-frequency components Ij-1 of the zero-sequence current as shown in the formula IV;
iaverage ═ average (| Ij-1|), formula five.
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