CN112906174B - Intelligent analysis method and system for grid problem of distribution network self-healing line - Google Patents
Intelligent analysis method and system for grid problem of distribution network self-healing line Download PDFInfo
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- 238000005215 recombination Methods 0.000 claims abstract description 34
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Abstract
The application discloses an intelligent analysis method and system for network frame problems of a self-healing line of a distribution network, which are characterized in that mass data are collected through a distribution network single line diagram system, a marketing system, a production system and an asset management system, information extraction and filtration are carried out to obtain key information of the distribution network line, information recombination analysis is carried out on the obtained information, the recombination analysis result is put into a database, multidimensional intelligent analysis comprising network frame unreasonable self-healing lines, untimely flow change self-healing lines and feeder line intra-group problems is carried out on data in the database, and the result is output to a multidimensional analysis report for the network frame self-healing line problems. The analysis of the self-healing line network frame is intelligently realized, the traditional manual checking analysis and statistics are not needed, and the technical problem that the existing mode of manually analyzing the self-healing line network frame problem of the distribution network is difficult to find the self-healing line network frame problem of the distribution network is difficult to ensure the effect of the self-healing line action when the distribution network fault occurs is solved.
Description
Technical Field
The application relates to the technical field of analysis of self-healing line network racks of distribution networks, in particular to an intelligent analysis method and system for problems of self-healing line network racks of distribution networks.
Background
In the process of intelligent development of the power distribution network, fault self-healing is a technical route which is necessary to pass through for a power distribution network line. The distribution network self-healing line can realize the functions of automatically isolating faults and recovering power supply in non-fault areas when distribution network faults occur, and has good effects of improving the reliability of power supply and customer satisfaction. However, aiming at the distribution network line which has realized the self-healing function, the basic unit often ignores the grid problem existing in a plurality of distribution network self-healing lines for realizing the coverage of the self-healing line, so that the problem that the distribution network self-healing line has an unobvious re-electricity effect on a user when a fault occurs, and the self-healing cannot act is caused. The network frame problems still stay at the present, and the development of a huge distribution network cannot be kept up at the preliminary stage of manual inspection, manual discovery and manual statistics.
Therefore, in order to solve the technical problems that the problem of the self-healing line network frame of the distribution network is difficult to find by manually analyzing the problem of the self-healing line network frame of the distribution network at present, and the effect of the self-healing line action is difficult to guarantee when the distribution network fault occurs, the application provides an intelligent analysis method and an intelligent analysis system for the problem of the self-healing line network frame of the distribution network.
Disclosure of Invention
The application provides an intelligent analysis method and system for a self-healing line network frame problem of a distribution network, which are used for solving the technical problems that the existing mode of manually analyzing the self-healing line network frame problem of the distribution network is difficult to find the self-healing line network frame problem of the distribution network, and the effect of the self-healing line action is difficult to guarantee when the distribution network fault occurs.
In view of the above, the first aspect of the present application provides an intelligent analysis method for a network frame problem of a self-healing line of a distribution network, including:
extracting bottom layer mass data of a distribution network service system and filtering to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system;
carrying out recombination analysis on key information of a distribution network line, and placing a recombination analysis result into a database for storage, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line, and obtaining the number of users at the upstream and downstream of the remote control switch by applying a topological structure;
and carrying out multi-dimensional intelligent analysis on the self-healing line problems in the recombination analysis results in the database, and outputting a multi-dimensional analysis report, wherein the multi-dimensional intelligent analysis of the self-healing line problems comprises network frame unreasonable self-healing line analysis, untimely flow change self-healing line analysis and feeder line intra-group problem analysis.
Optionally, the distribution network line key information includes:
topological relation information of a transformer substation, a circuit and a transformer of a circuit in a single-line diagram system;
information of key users in the marketing system, including transformer names and transformer IDs to which low-voltage users depend;
slave remote control switch information in the asset management system;
self-healing line information in a production system.
Optionally, the rack irrational self-healing route analysis includes:
whether the line has no remote control sectionalizer, whether the line has no remote control contact switch, whether the line has no remote control switch, whether the outgoing line switch and the remote control sectionalizer have no user, whether the remote control sectionalizer has no user with the remote control contact switch, whether the remote control sectionalizer has no user with the remote control sectionalizer, whether the remote control contact switch has a line head end, and whether the number of remote control sectionalizer users is excessive.
Optionally, logic for rack irrational self-healing route analysis includes:
whether the line has no remote control sectionalizer: if not, the line has no remote control sectionalizing switch;
whether the line has no remote control contact switch: whether the remote control interconnection switch in the intelligent configuration list of the distribution network line is larger than 0 or not, if not, the line has no remote control interconnection switch;
whether the circuit has no remote control switch: the line no-remote control sectionalizer and the line no-remote control interconnection switch are all established;
whether the outgoing line switch and the remote control sectional switch have no user exists: in the section analysis list of the remote control switch of the distribution network main line, whether users exist in sections from the outgoing line switch to the remote control switch or not is counted, and if not, no users exist in the outgoing line switch and the remote control section switch;
whether there is no user between the remote control sectionalizer and the remote control tie switch: in the section analysis list of the remote control switches of the distribution network main line, whether users exist in sections from the remote control section switch to the remote control switch or not is counted, if not, no users exist between the remote control section switch and the remote control interconnection switch;
whether there is no user between the remote control section switch and the remote control section switch: the method comprises the steps that whether users exist in segments from a statistically remote control segmented switch to a remote control switch in a network distribution main line remote control switch segment analysis list or not is counted, and if yes, no users exist between the remote control segmented switch and the remote control segmented switch;
whether a line head end exists in the remote control contact switch or not: the number of medium voltage users from the ring network point to the power supply point is divided by the total number of medium voltage users of the line to be less than 10%; or more than 10 lines are allocated; or the number of low-voltage users of the line in the area A is more than 1000 users, and the number of low-voltage users of the line in the area B is more than 2000 users, if yes, the remote control contact switch has the line head end;
whether the remote control segment users are too many: the number of the counted sectional internal distribution transformer in the 'network main line remote control switch sectional analysis list' is more than 10 or the number of the low-voltage users in the section is more than 1000, and the number of the remote control sectional users is too large.
Optionally, the flow change untimely self-healing line analysis includes:
whether the remote control sectional switch is not in self-healing control, whether the self-healing feeder line group loses communication, and whether the self-healing switch is in operation.
Optionally, the logic for self-healing line analysis when the flow is changed includes:
whether the remote control sectional switch is not in self-healing control or not: whether all the remote control sectional switches in the intelligent configuration list of the distribution network line are not included in the self-healing remote control switch list or not, if yes, the remote control sectional switches are not included in the self-healing management and control;
whether the self-healing feeder group loses contact: if the same self-healing feeder line group line is in the same diagnosis feeder line group, if not, the self-healing feeder line group loses communication;
inclusion of whether the self-healing switch has been shutdown: if not, the self-healing switch is returned.
Optionally, the analysis of the problems in the feeder group includes: whether there are only 1 switch in the feeder line group, whether there are only 2 switches in the feeder line group, and there are no users in between, whether there are no tie switches in the feeder line group.
The second aspect of the application provides an intelligent analysis system for the problem of a self-healing line network frame of a distribution network, which comprises the following components:
the data extraction module is used for extracting bottom layer mass data of the distribution network service system and filtering the bottom layer mass data to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system;
the recombination analysis module is used for carrying out recombination analysis on the key information of the distribution network line and storing a recombination analysis result in a database, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line and obtaining the number of users at the upstream and downstream of the remote control switch by applying a topological structure;
the multidimensional intelligent analysis module is used for carrying out multidimensional intelligent analysis of the self-healing line problem on the recombination analysis result in the database and outputting a multidimensional analysis report, wherein the multidimensional intelligent analysis of the self-healing line problem comprises unreasonable self-healing line analysis of a net rack, untimely self-healing line analysis of flow change and in-feeder line problem analysis.
Optionally, the distribution network line key information includes:
topological relation information of a transformer substation, a circuit and a transformer of a circuit in a single-line diagram system;
information of key users in the marketing system, including transformer names and transformer IDs to which low-voltage users depend;
slave remote control switch information in the asset management system;
self-healing line information in a production system.
Optionally, the multi-dimensional analysis report includes: the multidimensional intelligent analysis of the self-healing line problem comprises a network frame unreasonable self-healing line analysis report, a self-healing line analysis report with untimely flow change and a feeder line group problem analysis report.
From the above technical solutions, the embodiment of the present application has the following advantages:
the application provides an intelligent analysis method for a network frame problem of a self-healing circuit of a distribution network, which comprises the following steps: extracting bottom layer mass data of a distribution network service system and filtering to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system; carrying out recombination analysis on key information of a distribution network line, and placing a recombination analysis result into a database for storage, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line, and obtaining the number of users at the upstream and downstream of the remote control switch by applying a topological structure; and carrying out multi-dimensional intelligent analysis on the self-healing line problems in the recombination analysis results in the database, and outputting a multi-dimensional analysis report, wherein the multi-dimensional intelligent analysis of the self-healing line problems comprises network frame unreasonable self-healing line analysis, untimely flow change self-healing line analysis and feeder line intra-group problem analysis. The intelligent analysis method for the problems of the self-healing line network frame of the distribution network provided by the application intelligently realizes the analysis of the self-healing line network frame, does not need to rely on traditional manual checking analysis and statistics, and solves the technical problems that the existing mode of manually analyzing the problems of the self-healing line network frame of the distribution network is difficult to find the problems of the self-healing line network frame of the distribution network, and the effect of the self-healing line action is difficult to guarantee when the distribution network fault occurs.
Drawings
For a clearer description of embodiments of the application or of solutions according to the prior art, the figures which are used in the description of the embodiments or of the prior art will be briefly described, it being obvious that the figures in the description below are only some embodiments of the application, from which, without the aid of inventive efforts, other relevant figures can be obtained for a person skilled in the art.
Fig. 1 is a schematic flow chart of an intelligent analysis method for a network frame problem of a self-healing line of a distribution network according to an embodiment of the present application;
fig. 2 is a schematic block diagram of an intelligent analysis method for problems of a network frame of a self-healing circuit of a distribution network according to an embodiment of the present application.
Detailed Description
In order to make the present application better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
For easy understanding, referring to fig. 1 to fig. 2, an embodiment of an intelligent analysis method for a network frame problem of a self-healing line of a distribution network provided by the present application includes:
and 101, extracting bottom layer mass data of a distribution network service system and filtering to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system.
Firstly, extracting bottom layer mass data of a distribution network service system from the distribution network service system, and filtering out key information of a distribution network line. The business system includes a single line drawing system, a marketing system, an asset management system, and a production system. Extracting XML file information from a single line drawing system, carrying out graph-model analysis on the XML file information, and extracting topological relations among a transformer substation, a line and a transformer of the line; the information of key users is obtained from the marketing system, wherein the information comprises the name and the ID of a transformer subordinate to the low-voltage user, and the transformer ID can be matched with the XML file information of the single-line diagram system; obtaining subordinate remote control switch information from an asset management system; the list of the distribution network lines belonging to the self-healing line and the subordinate line ID are obtained from the production system.
102, carrying out recombination analysis on key information of a distribution network line, and placing a recombination analysis result into a database for storage, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line, and obtaining the number of users on the upstream and downstream sides of the remote control switch by applying a topological structure.
And 103, carrying out multi-dimensional intelligent analysis on the self-healing line problem in the recombination analysis result in the database, and outputting a multi-dimensional analysis report, wherein the multi-dimensional intelligent analysis on the self-healing line problem comprises network frame unreasonable self-healing line analysis, flow change untimely self-healing line analysis and feeder line intra-group problem analysis.
The multi-dimensional intelligent analysis of the self-healing line problem is carried out on the recombination analysis result in the database, and the analysis category and the analysis logic are as follows:
and (3) analyzing unreasonable self-healing lines of the net rack:
comprising the following steps: the analysis logic is as follows:
whether the line has no remote control sectionalizer: if not, the line has no remote control sectionalizing switch;
whether the line has no remote control contact switch: whether the remote control interconnection switch in the intelligent configuration list of the distribution network line is larger than 0 or not, if not, the line has no remote control interconnection switch;
whether the circuit has no remote control switch: the line no-remote control sectionalizer and the line no-remote control interconnection switch are all established;
whether the outgoing line switch and the remote control sectional switch have no user exists: in the section analysis list of the remote control switch of the distribution network main line, whether users exist in sections from the outgoing line switch to the remote control switch or not is counted, and if not, no users exist in the outgoing line switch and the remote control section switch;
whether there is no user between the remote control sectionalizer and the remote control tie switch: in the section analysis list of the remote control switches of the distribution network main line, whether users exist in sections from the remote control section switch to the remote control switch or not is counted, if not, no users exist between the remote control section switch and the remote control interconnection switch;
whether there is no user between the remote control section switch and the remote control section switch: the method comprises the steps that whether users exist in segments from a statistically remote control segmented switch to a remote control switch in a network distribution main line remote control switch segment analysis list or not is counted, and if yes, no users exist between the remote control segmented switch and the remote control segmented switch;
whether a line head end exists in the remote control contact switch or not: the number of medium voltage users from the ring network point to the power supply point is divided by the total number of medium voltage users of the line to be less than 10%; or more than 10 lines are allocated; or the number of low-voltage users of the line in the area A is more than 1000 users, and the number of low-voltage users of the line in the area B is more than 2000 users, if yes, the remote control contact switch has the line head end.
Whether the remote control segment users are too many: the number of the counted sectional internal distribution transformer in the 'network main line remote control switch sectional analysis list' is more than 10 or the number of the low-voltage users in the section is more than 1000, and the number of the remote control sectional users is too large.
The flow is not changed and the circuit number is analyzed:
whether the remote control sectional switch is not in self-healing control or not: whether all the remote control sectional switches in the intelligent configuration list of the distribution network line are not included in the self-healing remote control switch list or not, if yes, the remote control sectional switches are not included in the self-healing management and control;
whether the self-healing feeder group loses contact: if the same self-healing feeder line group line is in the same diagnosis feeder line group, if not, the self-healing feeder line group loses communication;
inclusion of whether the self-healing switch has been shutdown: if not, the self-healing switch is returned.
Analysis of problems in feeder line group:
comprising the following steps: there are only 1 switch in the feeder group, only 2 switches in the feeder group, and there are no subscribers between them, there are no tie switches in the feeder group.
There are only 1 switch in the feeder group, the logic is as follows: the feeder line group is internally provided with only 1 switch;
there are only 2 switches in the feeder group and no users in between, the logic is as follows: only 2 switches are arranged in the feeder line group, and no use is made;
no tie switch is arranged in the feeder line group, and the logic is as follows: in the feeder line group, no 'liaison switch' exists in the switching account information.
Through intelligent analysis of the self-healing line problems, an analysis result is output, a multi-dimensional distribution network self-healing line problem analysis report is generated, and the report content comprises: and a feeder line group analysis report with unreasonable net rack and a feeder line group analysis report with unreasonable flow change, a feeder line group internal self-healing line problem analysis report and the like.
The intelligent analysis method for the problems of the self-healing line network frame of the distribution network provided by the application intelligently realizes the analysis of the self-healing line network frame, does not need to rely on traditional manual checking analysis and statistics, and solves the technical problems that the existing mode of manually analyzing the problems of the self-healing line network frame of the distribution network is difficult to find the problems of the self-healing line network frame of the distribution network, and the effect of the self-healing line action is difficult to guarantee when the distribution network fault occurs.
The application provides an embodiment of an intelligent analysis system for network frame problems of a self-healing circuit of a distribution network, which comprises the following steps:
the data extraction module is used for extracting bottom layer mass data of the distribution network service system and filtering the bottom layer mass data to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system;
the recombination analysis module is used for carrying out recombination analysis on the key information of the distribution network line and storing a recombination analysis result in a database, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line and obtaining the number of users at the upstream and downstream of the remote control switch by applying a topological structure;
the multidimensional intelligent analysis module is used for carrying out multidimensional intelligent analysis of the self-healing line problem on the recombination analysis result in the database and outputting a multidimensional analysis report, wherein the multidimensional intelligent analysis of the self-healing line problem comprises unreasonable self-healing line analysis of a net rack, untimely self-healing line analysis of flow change and in-feeder line problem analysis.
The key information of the distribution network line comprises:
topological relation information of a transformer substation, a circuit and a transformer of a circuit in a single-line diagram system;
information of key users in the marketing system, including transformer names and transformer IDs to which low-voltage users depend;
slave remote control switch information in the asset management system;
self-healing line information in a production system.
The multi-dimensional analysis report includes: the multidimensional intelligent analysis of the self-healing line problem comprises a network frame unreasonable self-healing line analysis report, a self-healing line analysis report with untimely flow change and a feeder line group problem analysis report.
The intelligent analysis system for the problems of the self-healing line network frame of the distribution network is used for executing the intelligent analysis method for the problems of the self-healing line network frame of the distribution network, and the principle and the obtained technical effects are the same as those of the intelligent analysis method for the problems of the self-healing line network frame of the distribution network, so that redundant description is omitted.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (8)
1. An intelligent analysis method for a network frame problem of a self-healing line of a distribution network is characterized by comprising the following steps:
extracting bottom layer mass data of a distribution network service system and filtering to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system;
carrying out recombination analysis on key information of a distribution network line, and placing a recombination analysis result into a database for storage, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line, and obtaining the number of users at the upstream and downstream of the remote control switch by applying a topological structure;
carrying out multi-dimensional intelligent analysis on the self-healing line problems in the recombination analysis results in the database, and outputting a multi-dimensional analysis report, wherein the multi-dimensional intelligent analysis on the self-healing line problems comprises network frame unreasonable self-healing line analysis, untimely flow change self-healing line analysis and feeder line intra-group problem analysis;
the analysis of the unreasonable self-healing line of the net rack comprises the following steps:
whether the line has no remote control sectionalizer, whether the line has no remote control contact switch, whether the line has no remote control switch, whether the outgoing line switch and the remote control sectionalizer have no user, whether the remote control sectionalizer has no user with the remote control contact switch, whether the remote control sectionalizer has no user with the remote control sectionalizer, whether the remote control contact switch has a line head end, and whether the number of remote control sectionalizer users is excessive;
logic for analysis of unreasonable self-healing lines of a net rack comprises:
whether the line has no remote control sectionalizer: if not, the line has no remote control sectionalizing switch;
whether the line has no remote control contact switch: whether the remote control interconnection switch in the intelligent configuration list of the distribution network line is larger than 0 or not, if not, the line has no remote control interconnection switch;
whether the circuit has no remote control switch: the line no-remote control sectionalizer and the line no-remote control interconnection switch are all established;
whether the outgoing line switch and the remote control sectional switch have no user exists: in the section analysis list of the remote control switch of the distribution network main line, whether users exist in sections from the outgoing line switch to the remote control switch or not is counted, and if not, no users exist in the outgoing line switch and the remote control section switch;
whether there is no user between the remote control sectionalizer and the remote control tie switch: in the section analysis list of the remote control switches of the distribution network main line, whether users exist in sections from the remote control section switch to the remote control switch or not is counted, if not, no users exist between the remote control section switch and the remote control interconnection switch;
whether there is no user between the remote control section switch and the remote control section switch: the method comprises the steps that whether users exist in segments from a statistically remote control segmented switch to a remote control switch in a network distribution main line remote control switch segment analysis list or not is counted, and if yes, no users exist between the remote control segmented switch and the remote control segmented switch;
whether a line head end exists in the remote control contact switch or not: the number of medium voltage users from the ring network point to the power supply point is divided by the total number of medium voltage users of the line to be less than 10%; or more than 10 lines are allocated; or the number of low-voltage users of the line in the area A is more than 1000 users, and the number of low-voltage users of the line in the area B is more than 2000 users, if yes, the remote control contact switch has the line head end;
whether the remote control segment users are too many: the number of the counted sectional internal distribution transformer in the 'network main line remote control switch sectional analysis list' is more than 10 or the number of the low-voltage users in the section is more than 1000, and the number of the remote control sectional users is too large.
2. The intelligent analysis method for the network distribution network self-healing line network frame problem according to claim 1, wherein the network distribution network line key information comprises:
topological relation information of a transformer substation, a circuit and a transformer of a circuit in a single-line diagram system;
information of key users in the marketing system, including transformer names and transformer IDs to which low-voltage users depend;
slave remote control switch information in the asset management system;
self-healing line information in a production system.
3. The intelligent analysis method for the network distribution network self-healing line network frame problem according to claim 1, wherein the self-healing line analysis with untimely flow change comprises the following steps:
whether the remote control sectional switch is not in self-healing control, whether the self-healing feeder line group loses communication, and whether the self-healing switch is in operation.
4. The intelligent analysis method for the network grid problem of the self-healing line of the distribution network according to claim 3, wherein the logic of the self-healing line analysis in the untimely process change comprises the following steps:
whether the remote control sectional switch is not in self-healing control or not: whether all the remote control sectional switches in the intelligent configuration list of the distribution network line are not included in the self-healing remote control switch list or not, if yes, the remote control sectional switches are not included in the self-healing management and control;
whether the self-healing feeder group loses contact: if the same self-healing feeder line group line is in the same diagnosis feeder line group, if not, the self-healing feeder line group loses communication;
inclusion of whether the self-healing switch has been shutdown: if not, the self-healing switch is returned.
5. The intelligent analysis method for the problems of the self-healing line network frame of the distribution network according to claim 1, wherein the analysis of the problems in the feeder line group comprises the following steps: whether there are only 1 switch in the feeder line group, whether there are only 2 switches in the feeder line group, and there are no users in between, whether there are no tie switches in the feeder line group.
6. An intelligent analysis system for a network self-healing line network frame problem of a distribution network, which is characterized by comprising:
the data extraction module is used for extracting bottom layer mass data of the distribution network service system and filtering the bottom layer mass data to obtain key information of a distribution network line, wherein the service system comprises a single line drawing system, a marketing system, an asset management system and a production system;
the recombination analysis module is used for carrying out recombination analysis on the key information of the distribution network line and storing a recombination analysis result in a database, wherein the recombination analysis comprises the steps of correlating the key information of the distribution network line through a line ID and a transformer ID, automatically marking a self-healing line, automatically marking a remote control switch in the self-healing line, automatically marking the number of users of the self-healing line and obtaining the number of users at the upstream and downstream of the remote control switch by applying a topological structure;
the multidimensional intelligent analysis module is used for carrying out multidimensional intelligent analysis of the self-healing line problem on the recombination analysis result in the database and outputting a multidimensional analysis report, wherein the multidimensional intelligent analysis of the self-healing line problem comprises unreasonable self-healing line analysis of a net rack, untimely self-healing line analysis of flow change and in-feed line group problem analysis;
the analysis of the unreasonable self-healing line of the net rack comprises the following steps:
whether the line has no remote control sectionalizer, whether the line has no remote control contact switch, whether the line has no remote control switch, whether the outgoing line switch and the remote control sectionalizer have no user, whether the remote control sectionalizer has no user with the remote control contact switch, whether the remote control sectionalizer has no user with the remote control sectionalizer, whether the remote control contact switch has a line head end, and whether the number of remote control sectionalizer users is excessive;
logic for analysis of unreasonable self-healing lines of a net rack comprises:
whether the line has no remote control sectionalizer: if not, the line has no remote control sectionalizing switch;
whether the line has no remote control contact switch: whether the remote control interconnection switch in the intelligent configuration list of the distribution network line is larger than 0 or not, if not, the line has no remote control interconnection switch;
whether the circuit has no remote control switch: the line no-remote control sectionalizer and the line no-remote control interconnection switch are all established;
whether the outgoing line switch and the remote control sectional switch have no user exists: in the section analysis list of the remote control switch of the distribution network main line, whether users exist in sections from the outgoing line switch to the remote control switch or not is counted, and if not, no users exist in the outgoing line switch and the remote control section switch;
whether there is no user between the remote control sectionalizer and the remote control tie switch: in the section analysis list of the remote control switches of the distribution network main line, whether users exist in sections from the remote control section switch to the remote control switch or not is counted, if not, no users exist between the remote control section switch and the remote control interconnection switch;
whether there is no user between the remote control section switch and the remote control section switch: the method comprises the steps that whether users exist in segments from a statistically remote control segmented switch to a remote control switch in a network distribution main line remote control switch segment analysis list or not is counted, and if yes, no users exist between the remote control segmented switch and the remote control segmented switch;
whether a line head end exists in the remote control contact switch or not: the number of medium voltage users from the ring network point to the power supply point is divided by the total number of medium voltage users of the line to be less than 10%; or more than 10 lines are allocated; or the number of low-voltage users of the line in the area A is more than 1000 users, and the number of low-voltage users of the line in the area B is more than 2000 users, if yes, the remote control contact switch has the line head end;
whether the remote control segment users are too many: the number of the counted sectional internal distribution transformer in the 'network main line remote control switch sectional analysis list' is more than 10 or the number of the low-voltage users in the section is more than 1000, and the number of the remote control sectional users is too large.
7. The intelligent analysis system for network distribution self-healing wire network frame problems according to claim 6, wherein the key information of the network distribution wires comprises:
topological relation information of a transformer substation, a circuit and a transformer of a circuit in a single-line diagram system;
information of key users in the marketing system, including transformer names and transformer IDs to which low-voltage users depend;
slave remote control switch information in the asset management system;
self-healing line information in a production system.
8. The intelligent analysis system for a grid framework problem of a distribution network self-healing line according to claim 6, wherein the multidimensional analysis report comprises: the multidimensional intelligent analysis of the self-healing line problem comprises a network frame unreasonable self-healing line analysis report, a self-healing line analysis report with untimely flow change and a feeder line group problem analysis report.
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| CN113435058B (en) * | 2021-07-13 | 2023-09-19 | 广东电网有限责任公司 | Data dimension reduction method, system, terminal and medium for distribution network self-healing test model |
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