Ground fault judging method based on zero sequence wavelet decomposition calculation
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
Currently, the power distribution network in the urban area of China is in the form of underground cables or overhead insulated wires, and the probability of short circuit and single-phase ground faults of the lines is relatively low. In rural areas and mountain areas, due to economic considerations, an overhead bare conductor mode is still mainly used for laying the lines, single-phase grounding accidents are more usually caused by various natural or artificial reasons and the like, particularly in mountain areas, single-phase grounding conditions of the lines are easy to occur in succession under the conditions of winter snow or summer thunderstorm weather, partial single-phase grounding can be further deteriorated to short circuit faults, severe weather conditions are often not suitable for line inspection and maintenance when faults occur, and the whole line can be powered off first to wait for good weather to start maintenance.
For single-phase earth faults, the power distribution network lines in China adopt a small-current earth operation mode, and the operation condition of the power distribution network system is complex and changeable, so that fault electrical characteristic quantity is not obvious when single-phase earth faults occur in the system, and fault line and position judgment are difficult, and the single-phase earth faults of the power distribution network of the small-current earth system become difficulties which plague the operation of the power distribution network in China for many years.
Disclosure of Invention
The embodiment of the application provides a ground fault judging method based on zero-sequence wavelet decomposition calculation, which judges fault outgoing lines by utilizing multiples of a zero-sequence current transient component relative to a low-frequency component of the zero-sequence current transient component and has higher accuracy.
The embodiment of the application provides a ground fault judging 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 single-phase earth fault line selection diagnosis equipment;
when the zero sequence voltage value is detected to be greater than U 0set Or the zero sequence current value is greater than I 0set When the zero sequence voltage and the zero sequence current are obtained, wavelet decomposition is carried out on the waveform data of the zero sequence voltage and the zero sequence current exceeding the set value;
obtaining a maximum value of a high-frequency component of data representing a sudden change point to determine the occurrence time of a fault;
performing wavelet decomposition on the current data near the abrupt point moment twice, taking a low-frequency part obtained by the first decomposition and a 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;
if the low-frequency average value is greater than the set value I set Then the scaling factor k=iω is found max /I average When K is greater than the set value K set And outputting a fault judgment signal.
Optionally, when the zero sequence voltage value is detected to be greater than U 0set Or the zero sequence current value is greater than I 0set When the zero sequence voltage and the zero sequence current are obtained, the wavelet decomposition of the waveform data of the zero sequence voltage and the zero sequence current exceeding the set value comprises the following steps:
and (3) extracting 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:
U j =U j-1 +Uω j-1 formula one;
in U j Is the zero sequence voltage waveform data before and after the fault, U j-1 Is the low-frequency component, Uω, in the zero-sequence voltage waveform data of the zero-sequence voltage after wavelet decomposition j-1 The high-frequency component in the zero-sequence voltage waveform data after the zero-sequence voltage is subjected to wavelet decomposition;
I j =I j-1 +Iω j-1 a formula II;
in the above description, ij is zero sequence current waveform data before and after the fault, I j-1 Is the low-frequency component, Iω, in the zero-sequence current waveform data after the zero-sequence current is subjected to wavelet decomposition j-1 Is a high-frequency component in the waveform data of the zero-sequence current after the zero-sequence current is subjected to wavelet decomposition.
Optionally, the obtaining the maximum value of the high-frequency component of the data representing the occurrence time of the fault determined by the representative mutation point includes:
according to the high-frequency component part Uω of the voltage or current j-1 Or Iω j-1 Determining the position of the maximum mutation point, thereby determining the moment when the fault occurs, and taking out the zero sequence current waveform data of a period before and after the period of time for re-analysis;
I j =I j-1 +Iω j-1 =I j-1 +I j-2 +Iω j-2 formula three;
in which I j-2 Is the low-frequency component after the low-frequency component in the zero-sequence current waveform data after the zero-sequence current is decomposed by wavelet, and is I omega j-2 Is a high-frequency component after the wavelet decomposition again.
Optionally, the performing wavelet decomposition on the current data near the point of abrupt change twice, 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, including:
execute the I omega fetch as shown in equation four max For Iω in the decomposed high frequency component j-2 Operation of a maximum value;
Iω max = max (|Iω j-2 |),a formula IV;
executing the acquisition of the zero sequence current low frequency component I as shown in the formula four j-1 Average value I of (2) average Is performed according to the operation of (1);
I average = average (|I j-1 i), equation five.
The beneficial effects that this application provided technical scheme brought are:
when the system is applied to the line switch, the switch close to the fault section on the line can make an accurate response when a single-phase earth fault occurs, and the power supply reliability of the power distribution network can be greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow chart of a ground fault judging method based on zero sequence wavelet decomposition calculation.
Detailed Description
To further clarify the structure and advantages of the present application, a further description of the structure will be provided with reference to the drawings.
The embodiment of the application provides a ground fault judging method based on zero sequence wavelet decomposition calculation, and a specific implementation software flow is shown in fig. 1.
Detecting zero sequence voltage and zero sequence current at the installation position of single-phase earth fault line selection diagnosis equipment;
when the zero sequence voltage value is detected to be greater than U 0set Or the zero sequence current value is greater than I 0set When the zero sequence voltage and the zero sequence current are obtained, wavelet decomposition is carried out on the waveform data of the zero sequence voltage and the zero sequence current exceeding the set value;
obtaining a maximum value of a high-frequency component of data representing a sudden change point to determine the occurrence time of a fault;
performing wavelet decomposition on the current data near the abrupt point moment twice, taking a low-frequency part obtained by the first decomposition and a 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;
if the low-frequency average value is greater than the set value I set Then the scaling factor k=iω is found max /I average When K is greater than the set value K set And outputting a fault judgment signal.
In implementation, the main thought of the technical scheme provided by the application is as follows: detecting the zero sequence voltage and zero sequence current of the system, and when the zero sequence voltage of the measured line is larger than a set value U0 set or the zero sequence current exceeds a set value I 0Set And when the high frequency component is higher than the average value of the low frequency component by a certain multiple, the single-phase earth fault is considered to occur on the line.
The Wavelet Transform (WT) is a transform analysis method, which inherits and develops the concept of short-time Fourier transform localization, and overcomes the defects that the window size does not change with frequency, and the like, and can provide a time-frequency window which changes with frequency.
The technology can rapidly realize fault location, not only can greatly perfect the automation degree of the power distribution network, but also can greatly shorten the power failure time of a user, reduce the loss caused by power failure, make up the defects of a small-current grounding operation mode, and have good social and economic benefits.
Optionally, when the zero sequence voltage value is detected to be greater than U 0set Or the zero sequence current value is greater than I 0set When the zero sequence voltage and the zero sequence current are obtained, the wavelet decomposition of the waveform data of the zero sequence voltage and the zero sequence current exceeding the set value comprises the following steps:
and (3) extracting 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:
U j =U j-1 +Uω j-1 formula one;
in U j Is the zero sequence voltage waveform data before and after the fault, U j-1 Is the low-frequency component, Uω, in the zero-sequence voltage waveform data of the zero-sequence voltage after wavelet decomposition j-1 Is a high-frequency component in the zero-sequence voltage waveform data of the zero-sequence voltage after wavelet decomposition.
I j =I j-1 +Iω j-1 A formula II;
in the above, I j Is zero sequence current waveform data before and after fault, I j-1 Is the low-frequency component, Iω, in the zero-sequence current waveform data after the zero-sequence current is subjected to wavelet decomposition j-1 Is a high-frequency component in the waveform data of the zero-sequence current after the zero-sequence current is subjected to wavelet decomposition.
Optionally, the obtaining the maximum value of the high-frequency component of the data representing the occurrence time of the fault determined by the representative mutation point includes:
according to the high-frequency component part Uω of the voltage or current j-1 Or Iω j-1 And determining the position of the maximum mutation point, so as to determine the moment of occurrence of the fault, and taking out the zero sequence current waveform data of a period before and after the period of time to carry out re-analysis processing.
I j =I j-1 +Iω j-1 =I j-1 +I j-2 +Iω j-2 Formula three;
in which I j-2 Is the low-frequency component after the low-frequency component in the zero-sequence current waveform data after the zero-sequence current is decomposed by wavelet, and is I omega j-2 For high frequency after wavelet decomposition againA component.
Optionally, the performing wavelet decomposition on the current data near the point of abrupt change twice, 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, including:
execute the I omega fetch as shown in equation four max For Iω in the decomposed high frequency component j-2 Operation of a maximum value;
Iω max = max (|Iω j-2 i), equation four;
executing the acquisition of the zero sequence current low frequency component I as shown in the formula four j-1 Average value I of (2) average Is performed according to the operation of (1);
I average = average (|I j-1 i), equation five.
The method is not affected by 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 provided. The method is combined with a zero sequence current and voltage angle judgment algorithm, can be used for diagnosing single-phase earth faults of the distribution network of the low-current grounding system, accelerates the single-phase earth fault processing speed of the distribution network, and improves the power supply reliability of the distribution network system.
The foregoing description of the embodiments is provided for the purpose of illustration only and is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, alternatives, and alternatives falling within the spirit and scope of the invention.