CN114295940B - Distribution network fault state monitoring system and method based on smart city - Google Patents
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Abstract
The invention discloses a distribution network fault state monitoring system and a method based on a smart city, wherein the monitoring system comprises a fault characteristic database, a fault monitoring module, a fault comparison module, a maintenance analysis module and a maintenance information transmission module, the fault characteristic database comprises a permanent characteristic database and a transient characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs on a distribution network line, the transient characteristic database is used for storing fault characteristics which can only occur when a transient fault occurs on the distribution network line, each transient fault characteristic corresponds to an automatic reclosing time length, the fault monitoring module is used for monitoring whether a certain distribution network node has a fault, when a certain distribution network node is monitored to have a fault, the distribution network node is set as an analysis node, and the fault comparison module compares the fault characteristics of the analysis node with the characteristics in the fault characteristic database, and feedback is made accordingly.
Description
Technical Field
The invention relates to the technical field of distribution networks, in particular to a system and a method for monitoring a fault state of a distribution network based on a smart city.
Background
Electric power is the basis of building the smart city at present, guarantees that the safe effectual operation of electric power system is the important thing of building the smart city. Modern power distribution networks are complex in arrangement, the number of nodes is large, and faults are inevitable in the actual operation process. Faults occurring in the power grid fall into two main categories: permanent faults and transient faults. The permanent fault causes power failure of the power grid, and service can be recovered after maintenance personnel are required to maintain the power grid. Transient faults are usually caused by transient conditions causing the faults, appear in a short time, and can be cleared by tripping and carrying out one or more reclosings through protective equipment such as automatic reclosure so as to recover normal power utilization. Therefore, the fault type in the power grid can be quickly identified, and countermeasures can be taken according to the fault type, so that the power supply of the power grid can be quickly recovered. However, the prior art lacks a technology capable of rapidly identifying the type of the grid fault.
Disclosure of Invention
The invention aims to provide a distribution network fault state monitoring system and method based on a smart city, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a distribution network fault state monitoring system based on a smart city comprises a fault characteristic database, a fault monitoring module, a fault comparison module, an overhaul analysis module and an overhaul information transmission module, wherein the fault characteristic database comprises a permanent characteristic database and a transient characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs in a distribution network line, the transient characteristic database is used for storing fault characteristics which can only occur when a transient fault occurs in the distribution network line, each transient fault characteristic corresponds to an automatic reclosing time length, the fault monitoring module is used for monitoring whether a certain distribution network node has a fault or not, when a certain distribution network node is monitored to have a fault, the distribution network node is set as an analysis node, and the fault comparison module compares the fault characteristics of the analysis node with the characteristics in the fault characteristic database, if the fault characteristics of the analysis node and the characteristic similarity in the permanent characteristic database are larger than a first similarity threshold, the maintenance information transmission module is enabled to transmit information to perform dispatching maintenance on the analysis node, if the fault characteristics of the analysis node and the characteristic similarity in the transient characteristic database are larger than the first similarity threshold, the reclosing time of the analysis node is enabled to coincide according to the automatic reclosing time corresponding to the characteristics in the transient characteristic database, otherwise, the maintenance analysis module is enabled to analyze the analysis node and judge whether to perform dispatching maintenance on the analysis node.
Further, the overhaul analysis module comprises an associated node selection module, a first factor acquisition module, a second factor acquisition module, a third factor acquisition module, a comprehensive factor acquisition module and a comprehensive factor comparison module, wherein the associated node selection module uses an analysis node as a center, divides a circular area by taking a preset length as a radius value, sets other distribution network nodes in the circular area as candidate nodes of the analysis node, selects the associated nodes from the candidate nodes, the first factor acquisition module respectively acquires the number of transient faults occurring on the analysis node and each associated node, normalizes the number es of the transient faults occurring on the analysis node to obtain a first factor x =1- (es-fmin)/(fmax-fmin) of the analysis node, and fmax is the maximum value of the number of the transient faults occurring on the analysis node and each associated node, fmin is the minimum value of the number of transient faults occurring in the analysis node and each associated node in the last period of time, the second factor obtaining module obtains the historical fault number ez of the analysis node, then the second factor y of the analysis node = es/ez, the third factor obtaining module obtains the variance s0 of the time interval between two transient faults adjacent to the analysis node in the last b times, then s0/sy is calculated, if s0/sy is greater than 1, the third factor u =1 of the analysis node, if s0/sy is less than or equal to 1, then the third factor u = s0/sy of the analysis node, wherein sy is a preset variance threshold value, the comprehensive factor obtaining module calculates the comprehensive factor z =0.48 x +0.36 y +0.16 u of the analysis node, and the comprehensive factor comparison module calculates the comprehensive factor z of the analysis node when the comprehensive factor of the analysis node is greater than the comprehensive threshold value, then after a first time span, reclosing of the analysis node is coincided; and when the comprehensive factor of the analysis node is less than or equal to the comprehensive threshold value, enabling the maintenance information transmission module to transmit information to dispatch and maintain the analysis node.
Further, the associated node selection module includes an absolute value sum calculation module and an absolute value sum comparison module, the absolute value sum calculation module is configured to obtain an absolute value sum of a difference between reclosing durations corresponding to a time length at which a reclosing operation of the latest b-time analysis node and a reclosing operation of a certain candidate node is resumed after the reclosing operation, the absolute value sum comparison module compares the absolute value sum corresponding to each candidate node with a preset sum value, and a candidate node of which the absolute value sum is smaller than the preset sum value is selected as the associated node.
Further, the overhaul analysis module further comprises a first time length obtaining module, and the first time length obtaining module obtains an average value of reclosing time lengths corresponding to restoration to a normal state after reclosing when each associated node has a transient fault last time, and the average value is the first time length.
A distribution network fault state monitoring method based on a smart city comprises the following steps:
the method comprises the steps of establishing a fault characteristic database in advance, wherein the fault characteristic database comprises a permanent characteristic database and a transient characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs in a power distribution network line, the transient characteristic database is used for storing fault characteristics which can only occur when a transient fault occurs in the power distribution network line, and each transient fault characteristic corresponds to an automatic reclosing duration.
When a certain distribution network node is monitored to have a fault, the distribution network node is set as an analysis node.
And comparing the fault characteristics of the analysis node with the characteristics in the fault characteristic database, and if the similarity between the fault characteristics of the analysis node and the characteristics in the permanent characteristic database is greater than a first similarity threshold value, transmitting information to perform dispatching and maintenance on the analysis node.
If the fault characteristics of the analysis node and the characteristic similarity in the transient characteristic database are larger than a first similarity threshold value, enabling the reclosure of the analysis node to be coincided according to the automatic reclosure duration corresponding to the characteristics in the transient characteristic database;
otherwise, analyzing the analysis node and judging whether to carry out dispatch maintenance on the analysis node.
Further, the analyzing the analysis node includes:
and taking the analysis node as a center, dividing a circular area by taking a preset length as a radius value, setting other distribution network nodes in the circular area as candidate nodes of the analysis node, and selecting a correlation node from the candidate nodes.
Respectively acquiring the number of times of transient faults of the analysis node and each associated node, and carrying out normalization processing on the number of times of transient faults of the analysis node es to obtain a first factor x =1- (es-fmin)/(fmax-fmin), wherein fmax is the maximum value of the number of times of transient faults of the analysis node and each associated node, and fmin is the minimum value of the number of times of transient faults of the analysis node and each associated node in the latest period of time;
acquiring the historical failure times ez of the analysis node, wherein the second factor y = es/ez of the analysis node;
acquiring variance s0 of a time interval between two adjacent transient faults of the last b times of the analysis node, calculating s0/sy, if s0/sy is larger than 1, a third factor u =1 of the analysis node, and if s0/sy is smaller than or equal to 1, the third factor u = s0/sy of the analysis node, wherein sy is a preset variance threshold value;
the integrated factor z =0.48 x +0.36 y +0.16 u of the analysis node was calculated,
if the comprehensive factor of the analysis node is larger than the comprehensive threshold value, reclosing of the analysis node is coincided after a first time interval;
and if the comprehensive factor of the analysis node is less than or equal to the comprehensive threshold value, transmitting information to perform dispatching maintenance on the analysis node.
Further, the selecting the associated node from the candidate nodes includes:
and acquiring the sum of absolute values of differences of reclosing durations corresponding to the recovery of a normal state after the reclosing of the latest b-time analysis node and a certain candidate node, comparing the sum of the absolute values corresponding to each candidate node with a preset sum value, and selecting the candidate node of which the sum of the absolute values is smaller than the preset sum value as a related node.
Further, the first time period comprises:
and acquiring the average value of reclosing time lengths corresponding to the restoration of the normal state after reclosing when each associated node has a transient fault last time, wherein the average value is a first time length.
Compared with the prior art, the invention has the following beneficial effects: when the distribution network node is monitored to have a fault, the fault characteristics are compared with the characteristics in the pre-established fault characteristic database, so that the fault type can be quickly distinguished, a coping scheme can be timely made, and when the fault type cannot be identified, the coping scheme is made through the historical fault information of the distribution network node and the fault information of the associated node, so that the accuracy of the coping scheme for the power fault is improved, and the speed of recovering power is guaranteed.
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The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic block diagram of a distribution network fault state monitoring system based on a smart city according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a distribution network fault state monitoring system based on a smart city comprises a fault characteristic database, a fault monitoring module, a fault comparison module, a maintenance analysis module and a maintenance information transmission module, wherein the fault characteristic database comprises a permanent characteristic database and an instantaneous characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs on a distribution network line, the instantaneous characteristic database is used for storing fault characteristics which can only occur when an instantaneous fault occurs on the distribution network line, each instantaneous fault characteristic corresponds to an automatic reclosing time length, the fault monitoring module is used for monitoring whether a certain distribution network node fails or not, when a certain distribution network node is monitored to fail, the distribution network node is set as an analysis node, and the fault comparison module compares the fault characteristics of the analysis node with the characteristics in the fault characteristic database, if the fault characteristics of the analysis node and the characteristic similarity in the permanent characteristic database are larger than a first similarity threshold, the maintenance information transmission module is enabled to transmit information to perform dispatching maintenance on the analysis node, if the fault characteristics of the analysis node and the characteristic similarity in the transient characteristic database are larger than the first similarity threshold, the reclosing time of the analysis node is enabled to coincide according to the automatic reclosing time corresponding to the characteristics in the transient characteristic database, otherwise, the maintenance analysis module is enabled to analyze the analysis node and judge whether to perform dispatching maintenance on the analysis node.
The overhaul analysis module comprises an associated node selection module, a first factor acquisition module, a second factor acquisition module, a third factor acquisition module, a comprehensive factor acquisition module and a comprehensive factor comparison module, wherein the associated node selection module takes an analysis node as a center, divides a circular area by taking a preset length as a radius value, sets other distribution network nodes in the circular area as candidate nodes of the analysis node, selects the associated nodes from the candidate nodes, respectively acquires the number of times of transient faults of the analysis node and each associated node, normalizes the number of times of transient faults of the analysis node es to obtain a first factor x =1- (es-fmin)/(fmax-fmin), and fmax is the maximum value of the number of times of transient faults of the analysis node and each associated node, fmin is the minimum value of the number of transient faults occurring in the analysis node and each associated node in the last period of time, the second factor obtaining module obtains the historical fault number ez of the analysis node, then the second factor y of the analysis node = es/ez, the third factor obtaining module obtains the variance s0 of the time interval between two transient faults adjacent to the analysis node in the last b times, then s0/sy is calculated, if s0/sy is greater than 1, the third factor u =1 of the analysis node, if s0/sy is less than or equal to 1, then the third factor u = s0/sy of the analysis node, wherein sy is a preset variance threshold value, the comprehensive factor obtaining module calculates the comprehensive factor z =0.48 x +0.36 y +0.16 u of the analysis node, and the comprehensive factor comparison module calculates the comprehensive factor z of the analysis node when the comprehensive factor of the analysis node is greater than the comprehensive threshold value, then after a first time span, reclosing of the analysis node is coincided; and when the comprehensive factor of the analysis node is less than or equal to the comprehensive threshold value, enabling the maintenance information transmission module to transmit information to dispatch and maintain the analysis node.
The correlation node selection module comprises an absolute value sum calculation module and an absolute value sum comparison module, the absolute value sum calculation module is used for obtaining the absolute value sum of the difference value of the reclosing duration corresponding to the recovery of a normal state after the reclosing of a latest b-time analysis node and a certain candidate node, the absolute value sum comparison module compares the absolute value sum corresponding to each candidate node with a preset sum value, and the candidate node of which the absolute value sum is smaller than the preset sum value is selected as the correlation node.
The maintenance analysis module further comprises a first time length obtaining module, and the first time length obtaining module obtains the average value of reclosing time lengths corresponding to the restoration of the normal state after reclosing when each associated node has an instantaneous fault last time, and the average value is the first time length.
A distribution network fault state monitoring method based on a smart city comprises the following steps:
the method comprises the steps of establishing a fault characteristic database in advance, wherein the fault characteristic database comprises a permanent characteristic database and an instantaneous characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs in a power distribution network line, the instantaneous characteristic database is used for storing fault characteristics which can only occur when a transient fault occurs in the power distribution network line, each instantaneous fault characteristic corresponds to an automatic reclosing time length, when the transient fault occurs, normal operation of power can be recovered through reclosing, but when the reclosing time is incorrect, instantaneous power failure can be caused, normal power utilization of families and factories is influenced, even machines can be damaged, therefore, corresponding automatic reclosing time lengths are set in advance according to different instantaneous fault characteristics, and incorrect reclosing time is prevented when the instantaneous fault occurs and automatic reclosing is carried out, normal electricity utilization is affected; the automatic reclosing time duration in the application refers to the time duration of an interval from the power failure to the reclosing action.
When a distribution network node is monitored to have a fault, the distribution network node is set as an analysis node,
comparing the fault characteristics of the analysis node with the characteristics in the fault characteristic database, if the similarity between the fault characteristics of the analysis node and the characteristics in the permanent characteristic database is greater than a first similarity threshold value, transmitting information to carry out dispatching and maintenance on the analysis node,
if the fault characteristics of the analysis node and the characteristic similarity in the transient characteristic database are larger than a first similarity threshold value, enabling the reclosing time of the analysis node to coincide according to the automatic reclosing time corresponding to the characteristics in the transient characteristic database;
otherwise, analyzing the analysis node and judging whether to dispatch and overhaul the analysis node.
The analyzing the analysis node comprises:
dividing a circular area by taking the analysis node as a center and taking a preset length as a radius value, setting other distribution network nodes except the analysis node in the circular area as candidate nodes of the analysis node, selecting a correlation node from the candidate nodes,
the selecting the associated node from the candidate nodes comprises:
acquiring the absolute value sum of the difference values of reclosure durations corresponding to the recovery of a normal state after reclosure of the latest b-time analysis node and a certain candidate node, comparing the absolute value sum corresponding to each candidate node with a preset sum value, and selecting the candidate node of which the absolute value sum is smaller than the preset sum value as a related node; for example, if b =3 is assumed, the reclosing durations corresponding to the restoration of the normal state after the reclosing of the analysis node for the last 3 times are 2.2s, 2.5s and 3s, and the reclosing durations corresponding to the restoration of the normal state after the reclosing of a certain candidate node are 2.0s, 2.1s and 2.0s, then the sum of the absolute values corresponding to the candidate node is |2.2-2.0| + |2.5-2.1| + |3-2.0| =1.4, and the 1.4 is compared with the preset sum value to determine whether the candidate node is the associated node;
the transient fault is caused by short-time line collision caused by the fact that a line discharges to branches and strong wind, and short circuit caused by the discharge of bird bodies, the geographic positions are relatively close, and the meteorological environment and the ecological environment are similar, so that the transient fault is caused by similar reasons, meanwhile, the insulation aging condition of the line corresponding to the node is estimated through the reclosing duration, the characteristics of the selected correlation node are similar to those of the analysis node as much as possible, the analysis result is more accurate when the fault information of the correlation node is used as a reference object of the analysis node, and the selected first time length is more reasonable;
respectively acquiring the number of times of transient faults of the analysis node and each associated node, and carrying out normalization processing on the number of times of transient faults of the analysis node es to obtain a first factor x =1- (es-fmin)/(fmax-fmin), wherein fmax is the maximum value of the number of times of transient faults of the analysis node and each associated node, and fmin is the minimum value of the number of times of transient faults of the analysis node and each associated node in the latest period of time; the method considers that the insulation aging condition of the line is influenced after the transient fault occurs, and under the condition that the number of transient faults is large, the insulation aging condition of the line possibly reaches the limit, so that the generated fault becomes a permanent fault;
obtaining the historical failure times ez of the analysis node, wherein the second factor y = es/ez of the analysis node; when the proportion of the number of the transient faults of the analysis node is more, the probability of the transient fault is more;
acquiring a variance s0 of a time interval between two recent b adjacent transient faults of the analysis node, and calculating s0/sy, wherein if s0/sy is greater than 1, a third factor u =1 of the analysis node, and if s0/sy is less than or equal to 1, the third factor u = s0/sy of the analysis node, wherein sy is a preset variance threshold value; transient faults are short circuits caused by accidental events such as short-time line collision caused by strong wind and discharge through bird bodies, so that the occurrence time of the transient faults is random, the variance s0 is relatively large, and if the occurrence time interval of the transient faults is detected to be more or less, the transient faults are relatively regular, and if the occurrence time interval of the transient faults is detected to be smaller than s0, the transient faults are timely examined and examined to judge the reason, and the reason is timely touched to cause the occurrence of the faults.
The integrated factor z =0.48 x +0.36 y +0.16 u of the analysis node was calculated,
if the comprehensive factor of the analysis node is larger than the comprehensive threshold value, reclosing of the analysis node is overlapped after a first time interval, wherein the average value of reclosing time corresponding to the restoration of the normal state after reclosing when each associated node has a transient fault for the last time is obtained and is the first time interval; calculating a first time length according to the reclosing time length of surrounding nodes, preventing incorrect reclosing time caused by automatic reclosing due to instantaneous faults and reducing the possibility of influencing normal power utilization;
and if the comprehensive factor of the analysis node is less than or equal to the comprehensive threshold value, transmitting information to dispatch and overhaul the analysis node.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A distribution network fault state monitoring system based on a smart city is characterized by comprising a fault characteristic database, a fault monitoring module, a fault comparison module, a maintenance analysis module and a maintenance information transmission module, wherein the fault characteristic database comprises a permanent characteristic database and an instantaneous characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs on a distribution network line, the instantaneous characteristic database is used for storing fault characteristics which can only occur when an instantaneous fault occurs on the distribution network line, each instantaneous fault characteristic corresponds to an automatic reclosing time length, the fault monitoring module is used for monitoring whether a certain distribution network node fails or not, and when a certain distribution network node fails, the distribution network node is set as an analysis node, the fault comparison module compares the fault characteristics of the analysis node with the characteristics in the fault characteristic database, if the similarity between the fault characteristics of the analysis node and the characteristics in the permanent characteristic database is greater than a first similarity threshold, the overhaul information transmission module transmits information to dispatch and overhaul the analysis node, if the similarity between the fault characteristics of the analysis node and the characteristics in the transient characteristic database is greater than the first similarity threshold, the reclosing of the analysis node is coincided according to the automatic reclosing duration corresponding to the characteristics in the transient characteristic database, otherwise, the overhaul analysis module analyzes the analysis node and judges whether the dispatch and overhaul are carried out on the analysis node;
the overhaul analysis module comprises an associated node selection module, a first factor acquisition module, a second factor acquisition module, a third factor acquisition module, a comprehensive factor acquisition module and a comprehensive factor comparison module, wherein the associated node selection module takes an analysis node as a center, divides a circular area by taking a preset length as a radius value, sets other distribution network nodes in the circular area as candidate nodes of the analysis node, selects the associated nodes from the candidate nodes, respectively acquires the number of times of transient faults of the analysis node and each associated node, normalizes the number of times of transient faults of the analysis node es to obtain a first factor x =1- (es-fmin)/(fmax-fmin), and fmax is the maximum value of the number of times of transient faults of the analysis node and each associated node, fmin is the minimum value of the number of transient faults occurring in the analysis node and each associated node in the last period of time, the second factor obtaining module obtains the historical fault number ez of the analysis node, then the second factor y = es/ez of the analysis node, the third factor obtaining module obtains the variance s0 of the time interval between two transient faults adjacent to the analysis node in the last b times, then s0/sy is calculated, if s0/sy is larger than 1, the third factor u =1 of the analysis node is calculated, if s0/sy is smaller than or equal to 1, then the third factor u = s0/sy of the analysis node is calculated, wherein sy is a preset variance threshold value, the comprehensive factor obtaining module calculates the comprehensive factor z =0.48 x +0.36 y +0.16 u of the analysis node, and the comprehensive factor comparison module calculates the comprehensive factor z =0.48 x +0.36 y +0.16 u of the analysis node when the comprehensive factor of the analysis node is larger than the comprehensive factor threshold value, reclosing of the analysis node is coincided after a first time interval; and when the comprehensive factor of the analysis node is less than or equal to the comprehensive threshold value, enabling the maintenance information transmission module to transmit information to dispatch and maintain the analysis node.
2. The smart city-based distribution network fault state monitoring system according to claim 1, characterized in that: the correlation node selection module comprises an absolute value sum calculation module and an absolute value sum comparison module, the absolute value sum calculation module is used for obtaining the absolute value sum of the difference value of the reclosing duration corresponding to the recovery of a normal state after the reclosing of a latest b-time analysis node and a certain candidate node, the absolute value sum comparison module compares the absolute value sum corresponding to each candidate node with a preset sum value, and the candidate node of which the absolute value sum is smaller than the preset sum value is selected as the correlation node.
3. The system of claim 2, wherein the system comprises: the overhaul analysis module further comprises a first time length acquisition module, and the first time length acquisition module acquires the average value of reclosing time lengths corresponding to restoration to a normal state after reclosing when each associated node has an instantaneous fault for the last time as the first time length.
4. A distribution network fault state monitoring method based on a smart city is characterized in that: the monitoring method comprises the following steps:
pre-establishing a fault characteristic database, wherein the fault characteristic database comprises a permanent characteristic database and a transient characteristic database, the permanent characteristic database is used for storing fault characteristics which can only occur when a permanent fault occurs on a power distribution network line, the transient characteristic database is used for storing fault characteristics which can only occur when a transient fault occurs on the power distribution network line, and each transient fault characteristic corresponds to an automatic reclosing duration,
when a distribution network node is monitored to have a fault, the distribution network node is set as an analysis node,
comparing the fault characteristics of the analysis node with the characteristics in the fault characteristic database, if the similarity between the fault characteristics of the analysis node and the characteristics in the permanent characteristic database is greater than a first similarity threshold value, transmitting information to carry out dispatching and maintenance on the analysis node,
if the fault characteristics of the analysis node and the characteristic similarity in the transient characteristic database are larger than a first similarity threshold value, enabling the reclosing time of the analysis node to coincide according to the automatic reclosing time corresponding to the characteristics in the transient characteristic database;
otherwise, analyzing the analysis node, and judging whether to carry out dispatch maintenance on the analysis node;
the analyzing the analysis node comprises:
dividing a circular area by taking the analysis node as a center and taking a preset length as a radius value, setting other distribution network nodes in the circular area as candidate nodes of the analysis node, selecting a correlation node from the candidate nodes,
respectively obtaining the number of the transient faults of the analysis node and each associated node, and carrying out normalization processing on the number of the transient faults of the analysis node, namely the number es, to obtain a first factor x =1- (es-fmin)/(fmax-fmin) of the analysis node, wherein fmax is the maximum value of the number of the transient faults of the analysis node and each associated node, and fmin is the minimum value of the number of the transient faults of the analysis node and each associated node in the latest period of time;
obtaining the historical failure times ez of the analysis node, wherein the second factor y = es/ez of the analysis node;
acquiring a variance s0 of a time interval between two recent b adjacent transient faults of the analysis node, and calculating s0/sy, wherein if s0/sy is greater than 1, a third factor u =1 of the analysis node, and if s0/sy is less than or equal to 1, the third factor u = s0/sy of the analysis node, wherein sy is a preset variance threshold value;
the integrated factor z =0.48 x +0.36 y +0.16 u of the analysis node was calculated,
if the comprehensive factor of the analysis node is larger than the comprehensive threshold value, reclosing of the analysis node is coincided after a first time interval;
and if the comprehensive factor of the analysis node is less than or equal to the comprehensive threshold value, transmitting information to dispatch and overhaul the analysis node.
5. The distribution network fault state monitoring method based on the smart city according to claim 4, wherein: the selecting the associated node from the candidate nodes comprises:
and acquiring the sum of absolute values of differences of reclosing durations corresponding to the recovery of a normal state after the reclosing of the latest b-time analysis node and a certain candidate node, comparing the sum of the absolute values corresponding to each candidate node with a preset sum value, and selecting the candidate node of which the sum of the absolute values is smaller than the preset sum value as a related node.
6. The distribution network fault state monitoring method based on the smart city as claimed in claim 5, wherein: the first length of time comprises:
and acquiring the average value of reclosing time lengths corresponding to the restoration of the normal state after reclosing when each associated node has a transient fault last time, wherein the average value is a first time length.
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