CN114675126A - Method and device for identifying fault type of overhead distribution line - Google Patents
Method and device for identifying fault type of overhead distribution line Download PDFInfo
- Publication number
- CN114675126A CN114675126A CN202210243965.8A CN202210243965A CN114675126A CN 114675126 A CN114675126 A CN 114675126A CN 202210243965 A CN202210243965 A CN 202210243965A CN 114675126 A CN114675126 A CN 114675126A
- Authority
- CN
- China
- Prior art keywords
- energy
- transient voltage
- signal
- modal
- voltage signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000009826 distribution Methods 0.000 title claims abstract description 118
- 238000000034 method Methods 0.000 title claims abstract description 34
- 230000001052 transient effect Effects 0.000 claims abstract description 121
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 60
- 208000025274 Lightning injury Diseases 0.000 claims abstract description 42
- 238000004590 computer program Methods 0.000 claims description 14
- 230000006870 function Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 7
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000006698 induction Effects 0.000 claims description 6
- 230000014509 gene expression Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 241000272165 Charadriidae Species 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000009413 insulation Methods 0.000 description 1
- 239000012212 insulator Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Theoretical Computer Science (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The application provides an overhead distribution line fault type identification method, which comprises the following steps: acquiring a transient voltage signal of the overhead distribution line; determining a short-time average zero crossing rate and a variation modal decomposition energy entropy of the transient voltage signal in a first preset time; determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time; and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy. According to the method and the device, the characteristics of short-time average zero crossing rate, variable mode decomposition energy entropy and the like of the transient voltage signals of the overhead distribution lines are determined, the difference between energy and frequency in different signal time domains generated by different lightning stroke fault types can be fully considered, so that the accuracy of identification is effectively improved, and the power supply reliability of a power grid is guaranteed.
Description
Technical Field
The application relates to the field of power grid safety and protection application in a power system, in particular to a method and a device for identifying fault types of overhead distribution lines.
Background
The power distribution network is an important component of a power system and is a key link for transmitting electric energy to users. The distribution network is mostly provided with overhead distribution lines, and has the characteristics of complex line structure, low insulation level and the like. As the faults of the distribution lines caused by natural disasters such as strong wind, rainstorm, thunder and the like occupy a considerable proportion, the lightning stroke is the primary reason of the faults of the distribution lines according to the operation experience, and therefore, the significance of diagnosing the lightning stroke accidents of the distribution lines for deep analysis is great.
At the present stage, the difficulty in distinguishing the lightning stroke property and the lightning stroke fault type of the overhead power distribution line, particularly the power distribution line in a plateau mountain area is high, direct lightning stroke or induced lightning stroke cannot be reliably distinguished, and the occurrence of the lightning stroke fault or non-lightning stroke fault cannot be accurately distinguished when the fault occurs. Therefore, in the actual production, operation and maintenance process, the maintenance and repair work of the line can be carried out only by means of manual line patrol, and the power supply reliability of the power grid and the production of customers can be seriously influenced while a large amount of manpower and material resources are consumed.
Disclosure of Invention
In a first aspect, a method for identifying a fault type of an overhead distribution line is provided, and the method includes:
Acquiring a transient voltage signal of the overhead distribution line;
determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in a first preset time;
determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time;
and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
In a second aspect, an overhead distribution line fault type identification device is provided, the device comprising:
the signal acquisition module is used for acquiring a transient voltage signal of the overhead distribution line;
the first calculation module is used for determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in a first preset time;
a second calculation module, configured to determine a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time;
and the type judgment module is used for judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
In a third aspect, a computer device is provided, comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of:
acquiring a transient voltage signal of the overhead distribution line;
determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in a first preset time;
determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time;
and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
In a fourth aspect, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of:
acquiring a transient voltage signal of the overhead distribution line;
determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in a first preset time;
Determining first signal energy of the transient voltage signal in a second preset time and second signal energy of the transient voltage signal in a third preset time;
and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
The application can realize the following beneficial effects: the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal of the overhead distribution line in a first preset time are determined; then determining first signal energy of the transient voltage signal within second preset time and second signal energy of the transient voltage signal within third preset time; and finally, judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy. By determining the characteristics of short-time average zero crossing rate, variable mode decomposition energy entropy and the like of transient voltage signals of the overhead distribution line, the difference between energy and frequency in different signal time domains generated by different lightning stroke fault types can be fully considered, so that the identification accuracy is effectively improved, and the power supply reliability of a power grid is ensured.
Drawings
Fig. 1 is a schematic structural diagram of a fault type identification system for an overhead distribution line according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of a method for identifying a fault type of an overhead distribution line according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an overhead distribution line fault type identification device according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
The technical scheme of this application is applicable to built on stilts distribution lines, and is specific, and the technical scheme of this application is applicable to the application scene of discernment built on stilts distribution lines fault type. In practical application, the method for identifying the fault type of the overhead distribution line can accurately identify various types of faults of the overhead distribution line, such as lightning faults, non-lightning faults, induced lightning faults or direct-strike lightning faults, by determining the characteristics of short-time average zero crossing rate, variable mode decomposition energy entropy and the like of transient voltage signals of the overhead distribution line.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
In one embodiment, as shown in fig. 1, the overhead distribution line fault type identification method of the present application is applied to an overhead distribution line fault type identification system including an overhead distribution line 10, a voltage acquisition device 20, a data processing device 30, and a terminal 40. The overhead distribution line 10, i.e., an overhead line, mainly refers to an overhead open line, is erected above the ground, and is a power transmission line in which a power transmission conductor is fixed on a pole tower standing on the ground by using an insulator to transmit electric energy; the voltage acquisition device 20 is arranged on the overhead distribution line 10, the voltage acquisition device 20 is configured to acquire a transient voltage signal of each line and transmit the transient voltage signal to the data processing device 30, and the data processing device 30 is configured to process and analyze the transient voltage signal to determine a fault type of the overhead distribution line 10 and send the fault type to the terminal 40; after receiving the fault type of the overhead distribution line 10, the terminal 40 sends early warning information to line maintenance personnel; the terminal 40 may be a mobile terminal such as a mobile phone, or a PC terminal such as a computer. It can be understood that, in practical applications, the overhead distribution line 10 may be a line network composed of a plurality of overhead distribution branches, and the voltage collecting device 20 may be a collector composed of a plurality of voltage collecting units; wherein, each overhead power distribution branch road corresponds there is a voltage acquisition unit.
In one embodiment, as shown in fig. 2, the present application provides a method for identifying a fault type of an overhead distribution line, the method including:
step 201, acquiring a transient voltage signal of the overhead distribution line.
The transient voltage signal is formed by distortion of a sine wave of the voltage on the overhead distribution line due to transient disturbance. The overhead distribution line is provided with a voltage acquisition device, and the voltage acquisition device acquires a transient voltage signal of the overhead distribution line.
Wherein the overhead distribution line can be the overhead distribution line 10 in the overhead distribution line fault type identification system of figure 1; the voltage acquisition device can be the voltage acquisition device 20 in the overhead distribution line fault type identification system shown in fig. 1.
Step 202, determining a short-time average zero crossing rate and a variation modal decomposition energy entropy of the transient voltage signal within a first preset time.
After the transient voltage signal of the overhead distribution line is obtained, the transient voltage signal can be processed to obtain the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in the preset time.
Wherein the transient voltage signal may be processed by a data processing device 30 in the overhead distribution line fault type identification system as described in figure 1.
In practical application, the optimal solution scheme of the method is to calculate the initial short-time average zero-crossing rate of 5ms and the variable mode decomposition energy entropy. It can be understood that the preset time can be adjusted according to actual requirements.
In a specific embodiment, the determining the short-time average zero-crossing rate of the transient voltage signal within the first preset time includes:
determining a short-time average zero crossing rate of the transient voltage signal within a preset time according to the following formula:
wherein x represents the magnitude of the transient voltage signal at a certain time, M is the total window number, Si(k) Is the k transient voltage signal in the i window.
Specifically, the transient voltage signal is a discrete signal, and may be divided into M windows, each of which is N discrete data points, so that the calculation of the short-time average zero crossing rate may be completed according to the above formula.
In this embodiment, the determining the variation modal decomposition energy entropy of the transient voltage signal within the first preset time includes: carrying out variation modal decomposition on the transient voltage signal within the first preset time, and determining a plurality of modal components of the transient voltage signal; and calculating the energy entropies of the modal components as the variation modal decomposition energy entropies of the transient voltage signal in a preset time.
Specifically, the signal bandwidth of each modal component of the transient voltage signal may be calculated by using the following signal bandwidth formula:
wherein, { ukIs k modal components, { wkIs the center frequency of the k modal components, f is the original signal,
for the derivative over time, δ (t) is the pulse function, α is the penalty factor, | 2 is the 2 norm.
The lagrangian λ (t) is then introduced into the formula for the signal bandwidth, which can be converted into a calculation formula that determines the modal components of the transient voltage signal:
where { uk } is the k modal components, { ω k } is the center frequency of the k modal components, f is the original signal,
for the derivative over time, δ (t) is the pulse function, α is the penalty factor, λ (t) is the Lagrangian, and | 2 is the 2 norm.
Wherein the original signal is the transient voltage signal. Although the transient voltage signal is a discrete signal, it should be emphasized that in the variational modal decomposition, the above formula is analyzed by regarding the function as a continuous function, and the expression of the variational modal decomposition starts from the continuous function.
Wherein k modal components { u }kAnd center frequencies of k modal components wkAre obtained by an iterative optimization sequence of an alternating direction algorithm. In particular, k modal components { u }kThe expression of is and the center frequencies of the k modal components wkThe expression of is:
specifically, the signal bandwidth formula, the calculation formula of the plurality of modal components, and the k modal components { u } are repeatedly calculatedkThe expression of is and the center frequencies of the k modal components wkThe expression of lambda n +1 is continuously updated iteratively through the following iterative expressions,
stopping iterative computation until the following iterative conditions are met:
specifically, after obtaining the plurality of modal components of the transient voltage signal, the energy entropies of the plurality of modal components may be calculated according to the following formula, and the energy entropies are used as the variation modal decomposition energy entropies of the transient voltage signal within the preset time:
Tk＝-ZklgZk；
wherein Z iskRepresenting the proportion of energy of the k-th modal component to the total energy, EkIs the energy of the kth modal component, TkIs the energy entropy of the kth modal component.
In a particular embodiment, the plurality of modal components includes at least a first set of modal components and a second set of modal components; the variation modal decomposition energy entropy at least comprises a first modal component set energy entropy and a second modal component set energy entropy. Wherein the first modal component set is a high frequency portion and the second modal component set is a low frequency portion; the energy entropy of the first modal component set is high-frequency part energy entropy, and the energy entropy of the second modal component set is low-frequency part energy entropy.
In this embodiment, if the short-time average zero crossing rate is greater than a preset zero crossing rate, and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a lightning stroke fault; and if the short-time average zero crossing rate is not greater than a preset zero crossing rate and the energy entropy of the first modal component set is not higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a non-lightning fault.
The preset zero crossing rate can be 5, the high-frequency part can be more than or equal to K and less than or equal to [ K/2], K is the number of modal components, and K is the kth modal component. If the short-time zero crossing rate of the transient voltage signal is greater than 5 and the energy entropy of the high-frequency part is higher than that of the low-frequency part, the overhead distribution line is in lightning stroke fault; and if the short-time zero crossing rate of the transient voltage signal is not more than 5 and the energy entropy of the high-frequency part is not higher than that of the low-frequency part, the overhead distribution line is in a non-lightning fault.
Step 203, determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time.
The first preset time comprises the second preset time and the third preset time.
In practical applications, an optimal solution of the present application is that the second preset time may be 0 to 1ms, and the third preset time may be 1 to 3 ms. It can be understood that the preset time can be adjusted according to actual requirements.
In a specific embodiment, if the short-time average zero-crossing rate is greater than a preset zero-crossing rate, and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a lightning stroke fault, further includes: determining an energy ratio of the first signal energy to the second signal energy; if the energy ratio is smaller than a preset ratio, determining that the overhead distribution line is in the lightning stroke induction fault; and if the energy ratio is not less than the preset ratio, determining that the overhead distribution line is in direct-strike lightning stroke fault.
After the overhead distribution line is determined to be in the lightning stroke fault, the lightning stroke fault can be determined to be the induction lightning stroke fault or the direct-striking lightning stroke fault according to the first signal energy of the transient voltage signal in the second preset time and the second signal energy of the transient voltage signal in the third preset time.
Specifically, the energy ratio of the first signal energy to the second signal energy is calculated according to the following formula:
wherein u isiIs a transient voltage u within 0-1ms after the fault occurshIs the transient voltage within 1-3ms after the fault occurs.
In practical applications, the preset ratio may be 2. If the energy ratio is less than 2, determining that the overhead distribution line is the induced lightning fault; and if the energy ratio is not less than 2, determining that the overhead distribution line is in direct-strike lightning stroke fault.
And 204, judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation mode decomposition energy entropy, the first signal energy and the second signal energy.
If the short-time average zero crossing rate is greater than a preset zero crossing rate and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a lightning stroke fault; if the short-time average zero crossing rate is not greater than a preset zero crossing rate and the energy entropy of the first modal component set is not higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a non-lightning fault; after the overhead distribution line is determined to be in a lightning stroke fault, if the energy ratio of the first signal energy to the second signal energy is smaller than a preset ratio, determining that the overhead distribution line is in a lightning stroke induction fault; and if the energy ratio of the first signal energy to the second signal energy is not less than the preset ratio, determining that the overhead distribution line is in a direct-strike lightning stroke fault.
The method comprises the steps of firstly determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of a transient voltage signal of the overhead distribution line in a first preset time; then determining first signal energy of the transient voltage signal within a second preset time and second signal energy of the transient voltage signal within a third preset time; and finally, judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy. By determining the characteristics of short-time average zero crossing rate, variable mode decomposition energy entropy and the like of transient voltage signals of the overhead distribution line, the difference between energy and frequency in different signal time domains generated by different lightning stroke fault types can be fully considered, so that the identification accuracy is effectively improved, and the power supply reliability of a power grid is ensured.
In one embodiment, as shown in fig. 3, the present application provides an overhead distribution line fault type identification apparatus, comprising:
a signal obtaining module 301, configured to obtain a transient voltage signal of the overhead power distribution line.
The first calculating module 302 is configured to determine a short-time average zero-crossing rate and a variable modal decomposition energy entropy of the transient voltage signal within a first preset time.
A second calculating module 303, configured to determine a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time.
A type determining module 304, configured to determine a fault type of the overhead distribution line according to the short-time average zero crossing rate, the variational modal decomposition energy entropy, the first signal energy, and the second signal energy.
As shown in FIG. 4, in one embodiment, is an internal block diagram of a computer device. The computer equipment can be an overhead distribution line fault type identification device, or a terminal or a server connected with the overhead distribution line fault type identification device. As shown in fig. 4, the computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the memory includes a non-volatile storage medium and an internal memory. The non-volatile storage medium of the computer device stores an operating system and also stores a computer program, and when the computer program is executed by a processor, the computer program can enable the processor to realize an overhead distribution line fault type identification method. The internal memory may also store a computer program, and the computer program, when executed by the processor, may cause the processor to perform a method for identifying an overhead distribution line fault type. The network interface is used for communicating with an external device. Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, the overhead distribution line fault type identification method provided by the application can be implemented in the form of a computer program, and the computer program can be run on a computer device as shown in fig. 4. The memory of the computer device may store therein the respective program templates constituting the indoor positioning means. For example, the signal acquiring module 301, the first calculating module 302, the second calculating module 303, and the type determining module 304.
A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of: acquiring a transient voltage signal of the overhead distribution line; determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in a first preset time; determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time; and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
In one embodiment, the determining the short-time average zero crossing rate of the transient voltage signal within the first preset time includes: determining a short-time average zero crossing rate of the transient voltage signal within a first preset time according to the following formula:
wherein, x represents the magnitude of the transient voltage signal at a certain time, M is the total window number, Si(k) Is the k transient voltage signal in the i window.
In one embodiment, the determining the variation modal decomposition energy entropy of the transient voltage signal within the first preset time includes: carrying out variation modal decomposition on the transient voltage signal within the first preset time, and determining a plurality of modal components of the transient voltage signal; and calculating the energy entropies of the modal components as the variation modal decomposition energy entropies of the transient voltage signal in a preset time.
In one embodiment, the performing a variational modal decomposition on the transient voltage signal within the first preset time, determining a plurality of modal components of the transient voltage signal, includes: performing a variation modal decomposition on the transient voltage signal within the first preset time according to the following formula, and determining a plurality of modal components of the transient voltage signal:
Wherein, { u {kIs k modal components, { w }kIs the center frequency of the k modal components, f is the original signal,
for the derivative over time, δ (t) is the pulse function, α is the penalty factor, λ (t) is the lagrange operator, and | 2 is the 2-norm.
In one embodiment, the plurality of modal components comprises at least a first set of modal components and a second set of modal components; the variation modal decomposition energy entropy at least comprises a first modal component set energy entropy and a second modal component set energy entropy; the judging of the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy comprises the following steps: and judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the energy entropy of the first modal component set, the energy entropy of the second modal component set, the first signal energy and the second signal energy.
In one embodiment, the determining the type of lightning strike fault of the overhead distribution line according to the short-time average zero crossing rate, the first modal component set energy entropy, the second modal component set energy entropy, the first signal energy, and the second signal energy includes: if the short-time average zero crossing rate is greater than a preset zero crossing rate and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a lightning stroke fault; and if the short-time average zero crossing rate is not greater than a preset zero crossing rate and the energy entropy of the first modal component set is not higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a non-lightning fault.
In one embodiment, if the short-time average zero-crossing rate is greater than a preset zero-crossing rate and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is a lightning fault, further includes: determining an energy ratio of the first signal energy to the second signal energy; if the energy ratio is smaller than a preset ratio, determining that the overhead distribution line is in a lightning stroke induction fault; and if the energy ratio is not smaller than the preset ratio, determining that the overhead distribution line is in a direct-strike lightning stroke fault.
A computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of: acquiring a transient voltage signal of the overhead distribution line; determining a short-time average zero crossing rate and a variation modal decomposition energy entropy of the transient voltage signal in a first preset time; determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time; and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
In one embodiment, the determining the short-time average zero crossing rate of the transient voltage signal within the first preset time includes: determining a short-time average zero crossing rate of the transient voltage signal within a first preset time according to the following formula:
wherein, x represents the magnitude of the transient voltage signal at a certain time, M is the total window number, Si(k) Is the k transient voltage signal in the i window.
In one embodiment, the determining the variation modal decomposition energy entropy of the transient voltage signal within the first preset time includes: carrying out variation modal decomposition on the transient voltage signal within the first preset time, and determining a plurality of modal components of the transient voltage signal; and calculating the energy entropies of the modal components as the variation modal decomposition energy entropies of the transient voltage signal in a preset time.
In one embodiment, the performing a variational modal decomposition on the transient voltage signal within the first preset time, determining a plurality of modal components of the transient voltage signal, includes: performing variation modal decomposition on the transient voltage signal within the first preset time according to the following formula, and determining a plurality of modal components of the transient voltage signal:
Wherein, { u {kIs k modal components, { w }kIs the center frequency of the k modal components, f is the original signal,
for the derivative over time, δ (t) is the pulse function, α is the penalty factor, λ (t) is the lagrange operator, and | 2 is the 2-norm.
In one embodiment, the plurality of modal components comprises at least a first set of modal components and a second set of modal components; the variation modal decomposition energy entropy at least comprises a first modal component set energy entropy and a second modal component set energy entropy; the method for judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy comprises the following steps: and judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the energy entropy of the first modal component set, the energy entropy of the second modal component set, the first signal energy and the second signal energy.
In one embodiment, the determining the type of lightning strike fault of the overhead distribution line according to the short-time average zero crossing rate, the first modal component set energy entropy, the second modal component set energy entropy, the first signal energy, and the second signal energy includes: if the short-time average zero crossing rate is greater than a preset zero crossing rate and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a lightning stroke fault; and if the short-time average zero crossing rate is not greater than a preset zero crossing rate and the energy entropy of the first modal component set is not higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a non-lightning fault.
In one embodiment, if the short-time average zero-crossing rate is greater than a preset zero-crossing rate and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is a lightning fault, further includes: determining an energy ratio of the first signal energy to the second signal energy; if the energy ratio is smaller than a preset ratio, determining that the overhead distribution line is in a lightning stroke induction fault; and if the energy ratio is not smaller than the preset ratio, determining that the overhead distribution line is in a direct-strike lightning stroke fault.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by a computer program, which may be stored in a computer readable storage medium and executed to implement the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only memory (ROM), a Random Access Memory (RAM), or the like.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. An overhead distribution line fault type identification method is characterized by comprising the following steps:
acquiring a transient voltage signal of the overhead distribution line;
determining the short-time average zero crossing rate and the variable mode decomposition energy entropy of the transient voltage signal in a first preset time;
determining a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time;
and judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
2. The method of claim 1, wherein the determining the short-time average zero-crossing rate of the transient voltage signal over a first predetermined time comprises:
determining a short-time average zero crossing rate of the transient voltage signal within a first preset time according to the following formula:
wherein x represents the magnitude of the transient voltage signal at a certain time, M is the total window number, Si(k) Is the k transient voltage signal in the i window.
3. The method of claim 1, wherein the determining the variational modal decomposition energy entropy of the transient voltage signal over a first preset time comprises:
Carrying out variation modal decomposition on the transient voltage signal within the first preset time, and determining a plurality of modal components of the transient voltage signal;
and calculating the energy entropies of the modal components as the variation modal decomposition energy entropies of the transient voltage signal in a preset time.
4. The method of claim 3, wherein the performing a variational modal decomposition on the transient voltage signal within the first preset time to determine a plurality of modal components of the transient voltage signal comprises:
performing a variation modal decomposition on the transient voltage signal within the first preset time according to the following formula, and determining a plurality of modal components of the transient voltage signal:
wherein, { ukIs k modal components, { wkIs the center frequency of the k modal components, f is the original signal,
for the derivative over time, δ (t) is the pulse function, α is the penalty factor, λ (t) is the Lagrangian, and | 2 is the 2 norm.
5. The method according to claim 3, wherein the plurality of modal components comprises at least a first set of modal components and a second set of modal components; the variation modal decomposition energy entropy at least comprises a first modal component set energy entropy and a second modal component set energy entropy;
The method for judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy comprises the following steps:
and judging the lightning stroke fault type of the overhead distribution line according to the short-time average zero crossing rate, the energy entropy of the first modal component set, the energy entropy of the second modal component set, the first signal energy and the second signal energy.
6. The method of claim 5, wherein determining the type of lightning strike fault for the overhead distribution line based on the short-time average zero crossing rate, the first modal set of energy entropy, the second modal set of energy entropy, the first signal energy, and the second signal energy comprises:
if the short-time average zero crossing rate is greater than a preset zero crossing rate and the energy entropy of the first modal component set is higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a lightning stroke fault;
and if the short-time average zero crossing rate is not greater than a preset zero crossing rate and the energy entropy of the first modal component set is not higher than the energy entropy of the second modal component set, determining that the overhead distribution line is in a non-lightning fault.
7. The method of claim 6, wherein if the short-time average zero-crossing rate is greater than a preset zero-crossing rate and the first modal component set energy entropy is higher than the second modal component set energy entropy, then determining that the overhead distribution line is a lightning strike fault further comprises:
determining an energy ratio of the first signal energy to the second signal energy;
if the energy ratio is smaller than a preset ratio, determining that the overhead distribution line is in a lightning stroke induction fault; and if the energy ratio is not smaller than the preset ratio, determining that the overhead distribution line is in a direct-strike lightning stroke fault.
8. An overhead distribution line fault type identification device, characterized in that the device includes:
the signal acquisition module is used for acquiring a transient voltage signal of the overhead distribution line;
the first calculation module is used for determining a short-time average zero crossing rate and a variation modal decomposition energy entropy of the transient voltage signal in a first preset time;
a second calculating module, configured to determine a first signal energy of the transient voltage signal within a second preset time and a second signal energy of the transient voltage signal within a third preset time;
And the type judgment module is used for judging the fault type of the overhead distribution line according to the short-time average zero crossing rate, the variation modal decomposition energy entropy, the first signal energy and the second signal energy.
9. A computer arrangement comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to carry out the steps of the method according to claims 1-7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, causes the processor to carry out the steps of the method according to claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210243965.8A CN114675126A (en) | 2022-03-10 | 2022-03-10 | Method and device for identifying fault type of overhead distribution line |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210243965.8A CN114675126A (en) | 2022-03-10 | 2022-03-10 | Method and device for identifying fault type of overhead distribution line |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114675126A true CN114675126A (en) | 2022-06-28 |
Family
ID=82074242
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210243965.8A Pending CN114675126A (en) | 2022-03-10 | 2022-03-10 | Method and device for identifying fault type of overhead distribution line |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114675126A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109613399A (en) * | 2018-12-13 | 2019-04-12 | 西安理工大学 | A kind of line fault selection method based on VMD energy relative entropy |
| CN110333429A (en) * | 2019-08-14 | 2019-10-15 | 申岩 | A kind of Multifunctional power transmission line fault traveling wave monitoring system using suspension type optical fiber insulator |
| CN111948487A (en) * | 2020-07-17 | 2020-11-17 | 国网上海市电力公司 | High-voltage power equipment fault diagnosis method and system based on artificial intelligence |
| CN212723177U (en) * | 2020-07-14 | 2021-03-16 | 四川电安智能科技有限公司 | Device is discerned to overhead line and mixed transmission line trouble source of underground cable |
| CN112884352A (en) * | 2021-03-15 | 2021-06-01 | 国网河北省电力有限公司电力科学研究院 | Lightning stroke fault risk assessment method for overhead transmission line |
| CN113138322A (en) * | 2021-05-11 | 2021-07-20 | 南方电网科学研究院有限责任公司 | Method, device, equipment and storage medium for detecting high-resistance earth fault of power distribution network |
-
2022
- 2022-03-10 CN CN202210243965.8A patent/CN114675126A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109613399A (en) * | 2018-12-13 | 2019-04-12 | 西安理工大学 | A kind of line fault selection method based on VMD energy relative entropy |
| CN110333429A (en) * | 2019-08-14 | 2019-10-15 | 申岩 | A kind of Multifunctional power transmission line fault traveling wave monitoring system using suspension type optical fiber insulator |
| CN212723177U (en) * | 2020-07-14 | 2021-03-16 | 四川电安智能科技有限公司 | Device is discerned to overhead line and mixed transmission line trouble source of underground cable |
| CN111948487A (en) * | 2020-07-17 | 2020-11-17 | 国网上海市电力公司 | High-voltage power equipment fault diagnosis method and system based on artificial intelligence |
| CN112884352A (en) * | 2021-03-15 | 2021-06-01 | 国网河北省电力有限公司电力科学研究院 | Lightning stroke fault risk assessment method for overhead transmission line |
| CN113138322A (en) * | 2021-05-11 | 2021-07-20 | 南方电网科学研究院有限责任公司 | Method, device, equipment and storage medium for detecting high-resistance earth fault of power distribution network |
Non-Patent Citations (1)
| Title |
|---|
| 林丞: "基于分布式监测的输电线路故障定位方法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, no. 2, 15 February 2020 (2020-02-15), pages 042 - 1312 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7394800B2 (en) | Transient-based fault localization method for ungrounded power distribution systems | |
| WO2023216553A1 (en) | Multi-fault diagnosis method for power distribution network, and system | |
| CN107153150A (en) | A kind of power distribution network over-voltage fault type recognition method and device | |
| CN109444667B (en) | Power distribution network early fault classification method and device based on convolutional neural network | |
| CN109375051B (en) | Lightning transient signal identification method and system based on spectral density attenuation | |
| CN105740546A (en) | Transmission tower and ground wire security evaluation and service life prediction system based on corrosion state | |
| CN104865499A (en) | Super-high voltage direct-current power transmission line region internal and external fault identification method | |
| CN111080105A (en) | Transformer area user-to-user relationship identification method and system based on voltage time sequence data | |
| CN106384186A (en) | Distributed new energy grid-connected power quality monitoring method and system | |
| CN111751671A (en) | VMD-DTW cluster-based low-current grounding system fault line selection method | |
| CN110543921A (en) | cable early fault identification method based on waveform learning | |
| CN104750976A (en) | Establishment method of transmission line state evaluation parameter system | |
| CN108614192B (en) | Distribution decision method for lightning monitoring device of power distribution network | |
| CN111308260A (en) | Electric energy quality monitoring and electric appliance fault analysis system based on wavelet neural network and working method thereof | |
| CN112257238A (en) | Method and device for evaluating insulation damage risk of circuit breaker under multiple thunder | |
| CN116169778A (en) | Processing method and system based on power distribution network anomaly analysis | |
| CN116595459A (en) | Pollution flashover early warning method and system based on electric field signals | |
| Li et al. | A line-fault cause analysis method for distribution network based on decision-making tree and machine learning | |
| CN114675126A (en) | Method and device for identifying fault type of overhead distribution line | |
| CN116298509A (en) | Online identification method for harmonic resonance of power system | |
| CN110880020A (en) | Self-adaptive trans-regional base station energy consumption model migration and compensation method | |
| CN115097256A (en) | Power transmission line short-circuit fault identification and positioning method based on ground wire electromagnetic signal | |
| CN106841903A (en) | The tower grounding shock response test of 35kV overhead power transmissions and appraisal procedure and system | |
| CN114519294A (en) | Power cable fault identification method based on wavelet singular entropy and BP neural network | |
| CN110231541B (en) | Method for carrying out inverse calculation on equivalent electrical parameters of system based on online monitoring of damped oscillation waves |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |