CN108845177B - Lightning stroke monitoring and identifying method, device and equipment for power distribution network - Google Patents
Lightning stroke monitoring and identifying method, device and equipment for power distribution network Download PDFInfo
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Abstract
The invention provides a lightning stroke monitoring and identifying method, device and equipment for a power distribution networkfkAnd the second energy sum EfallThe second criterion is whether the preset value of b is less than or equal to the first amplitudeAnd a second amplitudeIf the two criteria are both established, the lightning stroke event is judged to be a direct lightning stroke event, and if the two criteria are not established, the lightning stroke event is judged to be an induced lightning event. The method comprehensively judges the lightning stroke event through two criteria, identifies the direct lightning stroke event and the inductive lightning event, has high reliability, solves the problem that the application of the existing method is unreliable in partial conditions, and can effectively identify the direct lightning stroke event and the inductive lightning event.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a lightning stroke monitoring and identifying method, device and equipment for a power distribution network.
Background
Lightning strikes are an important threat factor for the safe and normal operation of a line, whether in the form of a transmission network or a distribution network. The power distribution network has the characteristics of various devices, complex structure and wide distribution, and can directly cause power failure of a user once a lightning stroke accident occurs to the power distribution network as a bridge between a power transmission network and the user. Lightning stroke is one of main factors causing tripping of the power distribution network, so that the identification of the lightning stroke type is very important, and the accurate identification of the lightning stroke type can provide an effective basis for the improvement of lightning protection of the power distribution network.
When a lightning stroke accident occurs to a distribution network line, due to the influence of a plurality of factors, the lightning current amplitude and the waveform form have strong randomness, and a plurality of researches are carried out at home and abroad aiming at the aspects of the formation of the lightning stroke accident of the distribution network line and the identification of the lightning stroke type, wherein the identification method of the lightning stroke reason of the distribution network line mainly comprises an amplitude method, a time domain waveform method and the like. The amplitude method is theoretically feasible, but in practical application, the size of the variation of the line current is not easy to determine due to the influence of multiple factors such as lightning current parameters and the like; the time domain waveform method mainly utilizes the transient traveling wave waveform characteristics of the distribution network line under the lightning stroke event to judge the nature and the category of the event, and the method extremely depends on the transient traveling wave waveform to measure the reduction degree, and the reliability is not high under partial conditions.
Disclosure of Invention
The invention provides a lightning stroke monitoring and identifying method, device and equipment for a power distribution network, which are used for solving the problem that the existing method is unreliable in application under partial conditions and can effectively identify direct lightning stroke and inductive lightning stroke events.
In view of the above, a first aspect of the present application provides a lightning strike monitoring and identification method for a power distribution network, the method including:
reading a single traveling wave current signal i ═ f (t);
executing a first criterion generating step and a second criterion generating step on the traveling wave current signal i ═ f (t), and respectively obtaining a first criterion and a second criterion;
if the first criterion and the second criterion are both established, the lightning stroke event is judged to be a direct lightning stroke event, and if the first criterion and the second criterion are not established, the lightning stroke event is judged to be an inductive lightning stroke event;
the first criterion generating step is as follows:
carrying out Fourier transform on the traveling wave current signal i-f (t) to obtain components of the waveform function corresponding to each frequency;
according to the preset k value and the self-direct current component i in the wave function0To the kth current component iksinωkAll components i of t0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t Efk;
Calculating a second energy sum E corresponding to all components of the wave functionfall;
Whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio eta of is used as a first criterion;
the second judgment data generation step is as follows:
acquiring a lightning current source waveform corresponding to a traveling wave current signal i ═ f (t) in a lightning positioning system;
calculating a first amplitude corresponding to the traveling wave current signal i ═ f (t)And a second amplitude corresponding to the waveform of the lightning current source
Whether the preset b value is less than or equal to the first amplitude valueAnd a second amplitudeThe ratio q ofIs the second criterion.
Preferably, the reading of the single traveling-wave current signal i ═ f (t) further includes:
and extracting the fault traveling wave current waveform of a single lightning stroke accident of the distribution network line in the lightning stroke monitoring system.
Preferably, the first criterion generating step specifically includes:
performing Fourier transform on the traveling wave current signal i-f (t) to obtain a waveform function i-i0+i1sin w1t+i2sin w2t+...+insin wnt;
Calculating a waveform function i ═ i after Fourier transform0+i1sin w1t+i2sin w2t+...+insin wnt corresponds to the energy E of the component of each frequencyf(ωn) Comprises the following steps:
acquiring preset k values according to different regional conditions and self-direct-current components i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t EfkComprises the following steps:
calculating a waveform function i ═ i0+i1sin w1t+i2sin w2t+...+insin wnt all components i0、i1sinω1t、i2sinω2t...insinωnSecond energy sum E of tfallComprises the following steps:
find Efk、EfallRatio η of:
η=Efk/Efall;
whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio of (eta) is used as a first criterion.
This application second aspect provides a lightning strike monitoring and recognition device for distribution network, the device includes:
the signal reading module is used for reading a single traveling wave current signal i-f (t);
a criterion generating module, configured to perform a first criterion generating step and a second criterion generating step on the traveling wave current signal i ═ f (t), so as to obtain a first criterion and a second criterion, respectively;
the judging module is used for judging that the lightning stroke event is a direct lightning stroke event if the first criterion and the second criterion are both established, and judging that the lightning stroke event is an inductive lightning stroke event if the first criterion and the second criterion are not established;
the criterion generating module comprises a first criterion generating submodule, and the first criterion generating submodule is used for:
carrying out Fourier transform on the traveling wave current signal i-f (t) to obtain components of the waveform function corresponding to each frequency;
according to the preset k value and the self-direct current component i in the wave function0To the kth current component iksinωkAll components i of t0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t Efk;
Calculating a second energy sum E corresponding to all components of the wave functionfall;
Whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio eta of is used as a first criterion;
the criterion generating module comprises a second criterion generating submodule, and the second criterion generating submodule is used for:
acquiring a lightning current source waveform corresponding to a traveling wave current signal i ═ f (t) in a lightning positioning system;
calculating a first amplitude corresponding to the traveling wave current signal i ═ f (t)And a second amplitude corresponding to the waveform of the lightning current source
Whether the preset b value is less than or equal to the first amplitude valueAnd a second amplitudeThe ratio q of (a) is used as a second criterion.
Preferably, the apparatus further comprises a waveform extraction module,
the waveform extraction module is used for extracting the fault traveling wave current waveform of a single lightning stroke accident of a distribution network line in the lightning stroke monitoring system.
Preferably, the first criterion generating sub-module specifically includes:
a Fourier transform unit for performing Fourier transform on the traveling wave current signal i-f (t) to obtain a waveform function i-i0+i1sin w1t+i2sin w2t+...+insin wnt;
An energy calculation unit for calculating a waveform function i ═ i after Fourier transform0+i1sin w1t+i2sin w2t+...+insin wnt corresponds to the energy E of the component of each frequencyf(ωn) Comprises the following steps:
a first energy sum calculating unit for obtaining preset k values according to different regional conditions and self-direct current components i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t EfkComprises the following steps:
a second energy sum calculating unit for calculating a waveform function i ═ i0+i1sin w1t+i2sin w2t+...+insin wnt all components i0、i1sinω1t、i2sinω2t...insinωnSecond energy sum E of tfallComprises the following steps:
a ratio calculation unit for calculating Efk、EfallRatio η of:
η=Efk/Efall;
a criterion output unit for judging whether the preset a value is larger than the first energy sum EfkAnd the second energy sum EfallThe ratio of (eta) is used as a first criterion.
A third aspect of the present application provides a lightning strike monitoring and identification device for an electrical distribution network, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is adapted to perform the steps of the method for lightning strike monitoring and identification of an electrical distribution network according to the first aspect as described above, according to instructions in the program code.
A fourth aspect of the present application provides a computer-readable storage medium for storing program code for performing the method of the first aspect.
A fifth aspect of the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.
According to the technical scheme, the invention has the following advantages:
the invention reads a single travelling wave current signal and generates a first criterion and a second criterion, wherein the first criterion is whether a preset value a is larger than a first energy sum EfkAnd the second energy sum EfallThe second criterion is whether the preset value of b is less than or equal to the first amplitudeAnd a second amplitudeIf the two criteria are both established, the lightning stroke event is judged to be a direct lightning stroke event, and if the two criteria are not established, the lightning stroke event is judged to be an induced lightning event. The method comprehensively judges the lightning stroke event through two criteria, identifies the direct lightning stroke event and the inductive lightning event, has high reliability, solves the problem that the application of the existing method is unreliable in partial conditions, and can effectively identify the direct lightning stroke event and the inductive lightning event.
Drawings
In order to illustrate the embodiments of the invention more clearly, the drawings that are needed for describing the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained by those skilled in the art without inventive exercise.
FIG. 1 is a schematic diagram of a system for use in the present application;
FIG. 2 is a schematic view of one embodiment of a lightning strike monitoring and identification method for a power distribution network provided herein;
FIG. 3 is a schematic view of another embodiment of a lightning strike monitoring and identification method for a power distribution network provided herein;
FIG. 4 is a schematic view of one embodiment of a lightning strike monitoring and identification device for an electrical distribution network according to the present application.
Detailed Description
The invention provides a lightning stroke monitoring and identifying method, device and equipment for a power distribution network, which are used for solving the problem that the existing method is unreliable in application under partial conditions and can effectively identify direct lightning stroke and inductive lightning stroke events.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the present application is applied to a power distribution network system, please refer to fig. 1, fig. 1 is an architecture diagram of an information processing system in an embodiment of the present application, as shown in fig. 1, and fig. 1 includes a lightning strike monitoring system, a lightning strike locating system, and a lightning strike monitoring and identifying device for a power distribution network to which the present application is applied.
The equipment acquires required data from a lightning strike monitoring system and a lightning locating system according to the method, analyzes the data, reads a single traveling wave current signal, and generates a first criterion and a second criterion, wherein the first criterion is whether a preset a value is larger than a first energy sum EfkAnd the second energy sum EfallThe second criterion is whether the preset value of b is less than or equal to the first amplitudeAnd a second amplitudeIf the two criteria are both established, the lightning stroke event is judged to be a direct lightning stroke event, and if the two criteria are not established, the lightning stroke event is judged to be an induced lightning event. The method comprehensively judges the lightning stroke event through two criteria, identifies the direct lightning stroke event and the inductive lightning event, has high reliability, solves the problem that the application of the existing method is unreliable in partial conditions, and can effectively identify the direct lightning stroke event and the inductive lightning event.
For convenience of understanding, please refer to fig. 2, fig. 2 is a flowchart of a method for monitoring and identifying a lightning strike of a power distribution network according to an embodiment of the present application, and as shown in fig. 2, the method specifically includes:
101. reading a single traveling wave current signal i ═ f (t);
102. executing a first criterion generating step and a second criterion generating step on the traveling wave current signal i ═ f (t), and respectively obtaining a first criterion and a second criterion;
103. if the first criterion and the second criterion are both established, the lightning stroke event is judged to be a direct lightning stroke event, and if the first criterion and the second criterion are not established, the lightning stroke event is judged to be an inductive lightning stroke event;
the first criterion generating step is as follows:
carrying out Fourier transform on the traveling wave current signal i-f (t) to obtain components of the waveform function corresponding to each frequency;
according to the preset k value and the self-direct current component i in the wave function0To the kth current component iksinωkAll components i of t0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t Efk;
Calculating a second energy sum E corresponding to all components of the wave functionfall;
Whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallIs given asIs a first criterion;
the second judgment data generation step is as follows:
acquiring a lightning current source waveform corresponding to a traveling wave current signal i ═ f (t) in a lightning positioning system;
calculating a first amplitude corresponding to the traveling wave current signal i ═ f (t)And a second amplitude corresponding to the waveform of the lightning current source
Whether the preset b value is less than or equal to the first amplitude valueAnd a second amplitudeThe ratio q of (a) is used as a second criterion.
Further, reading the single traveling-wave current signal i ═ f (t) may be preceded by:
and extracting the fault traveling wave current waveform of a single lightning stroke accident of the distribution network line in the lightning stroke monitoring system.
Further, the first criterion generating step specifically includes:
performing Fourier transform on the traveling wave current signal i-f (t) to obtain a waveform function i-i0+i1sin w1t+i2sin w2t+...+insin wnt;
Calculating a waveform function i ═ i after Fourier transform0+i1sin w1t+i2sin w2t+...+insin wnt corresponds to the component of each frequency (e.g., component i)0Component i1sinω1t, etc.) of energy Ef(ωn) (i.e., the energy of the signal within the unit band) is:
acquiring preset k (k is more than or equal to 1) values according to different regional conditions and self-direct-current components i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t EfkComprises the following steps:
calculating a waveform function i ═ i0+i1sin w1t+i2sin w2t+...+insin wnt all components i0、i1sinω1t、i2sinω2t...insinωnSecond energy sum E of tfallComprises the following steps:
find Efk、EfallRatio η of:
η=Efk/Efall;
whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio of (eta) is used as a first criterion.
It should be noted that a takes a value according to an actual situation, and the reference value proposed by the present application is 0.1, and b takes a value according to an actual situation, and the reference value proposed by the present patent is 0.01.
Through the operation, the original waveform in the lightning stroke monitoring system can be combined, lightning stroke identification can be carried out on a single lightning stroke event of the power distribution network, and effective guarantee is provided for troubleshooting and fast power restoration of the power distribution network
Referring to fig. 3, the process of the present application can also be expressed as:
step S101: extracting a single lightning accident fault traveling wave current waveform of a distribution network line in a lightning monitoring system, selecting a single traveling wave current signal to analyze the event, and recording the traveling wave current signal as i as f (t);
step S102: carrying out Fourier transform on the traveling wave current signal i ═ f (t) to be analyzed to obtain a waveform function i ═ i0+i1sin w1t+i2sin w2t+...+insin wnt;
Step S103: calculating a waveform function i ═ i after Fourier transform0+i1sin w1t+i2sin w2t+...+insin wnt corresponds to the component of each frequency (e.g., component i)0Component i1sinω1t, etc.) of energy Ef(ωn) (i.e., the energy of the signal within the unit band):
step S104: according to different regional conditions, selecting proper k (k is more than or equal to 1) value from direct current component i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkthe sum of the energies of t, denoted as Efk:
Step S105: calculating a waveform function i ═ i0+i1sin w1t+i2sin w2t+...+insin wnt all components i0、i1sinω1t、i2sinω2t...insinωnthe sum of the energies of t, denoted as Efall:
Step S106: find Efk、EfallRatio η of:
η=Efk/Efall;
step S107: extracting the selected traveling wave current signal i ═ f (t) and the amplitude of the corresponding lightning current source waveform in the lightning positioning system by the lightning stroke monitoring system, and respectively recording the amplitude as
Step S108: and (3) calculating the ratio of the traveling wave current amplitude to the source lightning current waveform amplitude, and recording as q:
step S109: and eta and q are judged. When eta is less than a (a takes a value according to the actual condition, the suggested reference value of the patent is 0.1) and q is more than or equal to b (b takes a value according to the actual condition, the suggested reference value of the patent is 0.01), the event can be judged to be a direct lightning strike event; otherwise, if eta is larger than or equal to a or q is smaller than b, the event is an inductive thunder event.
The above is a detailed description of the lightning strike monitoring and identifying method for the power distribution network provided by the invention, and the following is a detailed description of the lightning strike monitoring and identifying device for the power distribution network provided by the invention.
The invention provides a lightning stroke monitoring and identifying device for a power distribution network, which comprises:
a signal reading module 201, configured to read a single traveling wave current signal i ═ f (t);
a criterion generating module 202, configured to perform a first criterion generating step and a second criterion generating step on the traveling wave current signal i ═ f (t), so as to obtain a first criterion and a second criterion, respectively;
the judging module 203 is configured to judge that the lightning stroke event is a direct lightning stroke event if the first criterion and the second criterion are both satisfied, and judge that the lightning stroke event is an inductive lightning stroke event if the first criterion and the second criterion are not satisfied;
the criterion generating module 202 comprises a first criterion generating submodule 2021, the first criterion generating submodule 2021 is configured to:
carrying out Fourier transform on the traveling wave current signal i-f (t) to obtain components of the waveform function corresponding to each frequency;
according to the preset k value and the self-direct current component i in the wave function0To the kth current component iksinωkAll components i of t0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t Efk;
Calculating a second energy sum E corresponding to all components of the wave functionfall;
Whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio eta of is used as a first criterion;
the criterion generating module 202 includes a second criterion generating sub-module 2022, and the second criterion generating sub-module 2022 is configured to:
acquiring a lightning current source waveform corresponding to a traveling wave current signal i ═ f (t) in a lightning positioning system;
calculating a first amplitude corresponding to the traveling wave current signal i ═ f (t)And a second amplitude corresponding to the waveform of the lightning current source
Whether the preset b value is less than or equal to the first amplitude valueAnd a second amplitudeThe ratio q of (a) is used as a second criterion.
Further, the device also comprises a waveform extraction module,
the waveform extraction module is used for extracting the fault traveling wave current waveform of a single lightning stroke accident of a distribution network line in the lightning stroke monitoring system.
Further, the first criterion generating sub-module 2021 specifically includes:
a Fourier transform unit for performing Fourier transform on the traveling wave current signal i-f (t) to obtain a waveform function i-i0+i1sin w1t+i2sin w2t+...+insin wnt;
An energy calculation unit for calculating a waveform function i ═ i after Fourier transform0+i1sin w1t+i2sin w2t+...+insin wnt corresponds to the energy E of the component of each frequencyf(ωn) Comprises the following steps:
a first energy sum calculating unit for obtaining preset k values according to different regional conditions and self-direct current components i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t EfkComprises the following steps:
a second energy sum calculating unit for calculating a waveform function i ═ i0+i1sin w1t+i2sin w2t+...+insin wnt all components i0、i1sinω1t、i2sinω2t...insinωnSecond energy sum E of tfallComprises the following steps:
a ratio calculation unit for calculating Efk、EfallRatio η of:
η=Efk/Efall;
a criterion output unit for judging whether the preset a value is larger than the first energy sum EfkAnd the second energy sum EfallThe ratio of (eta) is used as a first criterion.
The following will describe in detail a lightning strike monitoring and identification device for an electrical distribution network provided by the present application:
the application provides a lightning stroke monitoring and identification equipment for distribution network of d volume, including processor and memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to perform the steps of the method for lightning strike monitoring and identification of an electrical distribution network as described in the above embodiments, according to instructions in the program code.
A computer-readable storage medium provided by the present application will be described in detail below:
the present application provides a computer-readable storage medium for storing program code for performing the methods of the above-described embodiments.
A computer program product provided by the present application, including instructions, is described in detail as follows:
the present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the above embodiment.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A lightning stroke monitoring and identifying method for a power distribution network is characterized by comprising the following steps:
reading a single traveling wave current signal i ═ f (t);
executing a first criterion generating step and a second criterion generating step on the traveling wave current signal i ═ f (t), and respectively obtaining a first criterion and a second criterion;
if the first criterion and the second criterion are both established, judging that the lightning stroke event is a direct lightning stroke event, and if the first criterion and the second criterion are not established, judging that the lightning stroke event is an induced lightning event;
the first criterion generating step is as follows:
carrying out Fourier transform on the traveling wave current signal i-f (t) to obtain components of the waveform function corresponding to each frequency;
according to the preset k value and the self-direct current component i in the wave function0To the kth current component iksinωkAll components i of t0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t Efk;
Calculating a second energy sum E corresponding to all components of the wave functionfall;
Whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio eta of is used as a first criterion;
the second judgment data generation step is as follows:
acquiring a lightning current source waveform corresponding to a traveling wave current signal i ═ f (t) in a lightning positioning system;
calculating a first amplitude corresponding to the traveling wave current signal i ═ f (t)And a second amplitude corresponding to the waveform of the lightning current source
2. The lightning strike monitoring and identification method for an electrical distribution network according to claim 1, wherein said reading a single traveling wave current signal i ═ f (t) is preceded by:
and extracting the fault traveling wave current waveform of a single lightning stroke accident of the distribution network line in the lightning stroke monitoring system.
3. The lightning strike monitoring and identification method for the power distribution network according to claim 1, wherein the first criterion generating step is specifically:
performing Fourier transform on the traveling wave current signal i-f (t) to obtain a waveform function i-i0+i1sinw1t+i2sinw2t+...+insinwnt;
Calculating a waveform function i ═ i after Fourier transform0+i1sinw1t+i2sinw2t+...+insinwnt corresponds toEnergy E of component of each frequencyf(ωn) Comprises the following steps:
acquiring preset k values according to different regional conditions and self-direct-current components i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t EfkComprises the following steps:
calculating a waveform function i ═ i0+i1sinw1t+i2sinw2t+...+insinwnt all components i0、i1sinω1t、i2sinω2t...insinωnSecond energy sum E of tfallComprises the following steps:
find Efk、EfallRatio η of:
η=Efk/Efall;
whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio of (eta) is used as a first criterion.
4. A lightning strike monitoring and identification device for a power distribution network, comprising:
the signal reading module is used for reading a single traveling wave current signal i-f (t);
a criterion generating module, configured to perform a first criterion generating step and a second criterion generating step on the traveling wave current signal i ═ f (t), so as to obtain a first criterion and a second criterion, respectively;
the judging module is used for judging that the lightning stroke event is a direct lightning stroke event if the first criterion and the second criterion are both established, and judging that the lightning stroke event is an inductive lightning event if the first criterion and the second criterion are not established;
the criterion generating module comprises a first criterion generating submodule, and the first criterion generating submodule is used for:
carrying out Fourier transform on the traveling wave current signal i-f (t) to obtain components of the waveform function corresponding to each frequency;
according to the preset k value and the self-direct current component i in the wave function0To the kth current component iksinωkAll components i of t0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t Efk;
Calculating a second energy sum E corresponding to all components of the wave functionfall;
Whether the preset a value is larger than the first energy sum E or notfkAnd the second energy sum EfallThe ratio eta of is used as a first criterion;
the criterion generating module comprises a second criterion generating submodule, and the second criterion generating submodule is used for:
acquiring a lightning current source waveform corresponding to a traveling wave current signal i ═ f (t) in a lightning positioning system;
calculating a first amplitude corresponding to the traveling wave current signal i ═ f (t)And a second amplitude corresponding to the waveform of the lightning current source
5. The lightning strike monitoring and identification device for an electrical distribution network of claim 4, further comprising a waveform extraction module,
the waveform extraction module is used for extracting the fault traveling wave current waveform of a single lightning stroke accident of a distribution network line in the lightning stroke monitoring system.
6. The lightning strike monitoring and identification device for the power distribution network according to claim 4, wherein the first criterion generation submodule specifically comprises:
a Fourier transform unit for performing Fourier transform on the traveling wave current signal i-f (t) to obtain a waveform function i-i0+i1sinw1t+i2sinw2t+...+insinwnt;
An energy calculation unit for calculating a waveform function i ═ i after Fourier transform0+i1sinw1t+i2sinw2t+...+insinwnt corresponds to the energy E of the component of each frequencyf(ωn) Comprises the following steps:
a first energy sum calculating unit for obtaining preset k values according to different regional conditions and self-direct current components i0To the current component iksinωkt is divided into a set, and all components i in the set are calculated0、i1sinω1t、i2sinω2t...iksinωkFirst energy sum of t EfkComprises the following steps:
a second energy sum calculating unit for calculating a waveform function i ═ i0+i1sinw1t+i2sinw2t+...+insinwnt all components i0、i1sinω1t、i2sinω2t...insinωnSecond energy sum E of tfallComprises the following steps:
a ratio calculation unit for calculating Efk、EfallRatio η of:
η=Efk/Efall;
a criterion output unit for judging whether the preset a value is larger than the first energy sum EfkAnd the second energy sum EfallThe ratio of (eta) is used as a first criterion.
7. A lightning strike monitoring and identification device for an electrical distribution network, the device comprising a processor and a memory:
the memory is used for storing program codes and transmitting the program codes to the processor;
the processor is configured to execute a lightning strike monitoring and identification method for an electrical distribution network according to any one of claims 1-3 according to instructions in the program code.
8. A lightning strike monitoring and identification device for an electrical distribution network according to claim 7, characterised in that the device connects the lightning strike monitoring system with the lightning location system.
9. A computer-readable storage medium for storing program code for performing a method of lightning strike monitoring and identification for an electrical distribution network according to any of claims 1-3.
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