CN112255503B - Power distribution network line fault judgment method, system and storage medium - Google Patents
Power distribution network line fault judgment method, system and storage medium Download PDFInfo
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- CN112255503B CN112255503B CN202011094222.6A CN202011094222A CN112255503B CN 112255503 B CN112255503 B CN 112255503B CN 202011094222 A CN202011094222 A CN 202011094222A CN 112255503 B CN112255503 B CN 112255503B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/58—Testing of lines, cables or conductors
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Abstract
The invention relates to the technical field of power distribution network fault detection, and discloses a power distribution network line fault judgment method, a power distribution network line fault judgment system and a computer storage medium, which are used for fusing distribution network power failure information of a plurality of systems to accurately judge whether a distribution network line has a fault or not under the condition that power distribution network state perception data is incomplete and inaccurate. The method comprises the following steps: dividing different situations by combining a power failure time boundary value, a transformer area signal proportion boundary value and a switching-on and switching-off time boundary value which divides a switch switching-on and switching-off time range in an EMS station into two stages, and then fusing different power distribution network data to perform differential fault judgment; the line fault of the power distribution network can be judged more accurately; therefore, reliable decision conditions are provided for subsequent maintenance scheduling, and the power supply reliability of the power distribution network of a power supply enterprise can be greatly improved.
Description
Technical Field
The invention relates to the technical field of power distribution network fault detection, in particular to a power distribution network line fault judgment method, a power distribution network line fault judgment system and a computer storage medium.
Background
The economic society development has higher and higher requirements on the power supply reliability and the high-quality service of the power distribution network, and provides higher requirements for the improvement of the management and control means of the power distribution network. However, the power distribution network has a large scale and a weak foundation for a long time, the existing power distribution network management mainly depends on manpower to maintain the lines and find faults, the power distribution network lines have more branches, the operation mode is complex, the management and maintenance workload of the lines is large, and the query is time-consuming and labor-consuming when the faults occur. The power supply company level is also difficult to master all outage conditions of 10 kV lines of each unit, active first-aid repair cannot be rapidly carried out, line outage repair and repair work is difficult to carry out in a targeted manner, and improvement of power supply reliability of a power distribution network of a power supply enterprise is restricted.
The distribution network can acquire line outage data from a plurality of systems. An Energy Management System (EMS) can acquire switching-on and switching-off data of an outgoing line switch of a line substation, a service System can input and issue power failure information, and a power consumption acquisition terminal of a power consumption information acquisition System can acquire power failure and power restoration information of a transformer area.
However, at present, the switching-on and switching-off signals of outgoing line switches of a line transformer substation of an EMS system are not standardized in power failure information input of a service system, and the problems of missing report, non-report, untimely report and the like exist in power failure and recovery information of a transformer area reported by a power utilization information acquisition system. The sensing data of the state of the power distribution network at present and for a long time in the future are incomplete and inaccurate.
Most of the existing distribution network line fault judgment methods do not relate to the data of each system of a distribution network, and only judge according to the data of a single system; even if a plurality of system data are correlated for determination, the result accuracy is not high.
Disclosure of Invention
The invention aims to disclose a power distribution network line fault judgment method, a power distribution network line fault judgment system and a computer storage medium, so that power distribution network power failure information of a plurality of systems is fused under the condition that power distribution network state sensing data is incomplete and inaccurate, and whether a power distribution network line has a fault or not is accurately judged.
In order to achieve the purpose, the invention discloses a power distribution network line fault judgment method, which comprises the following steps:
step S1, initializing, specifically including:
s11, setting a power failure time boundary value for dividing the average power failure time range into two stages;
s12, setting a distribution room signal proportion boundary value for dividing a distribution room signal proportion interval; the station area signal proportion is the proportion of the station area of the acquired station area signal in the total station area of the target line; the station area signal carries the power failure and restoration information of the corresponding station area;
s13, setting a switching-on and switching-off time length boundary value for dividing a switching-on and switching-off time length range in the EMS station into two stages;
step S2, obtaining an EMS signal, judging whether the opening and closing time length of a switch in the EMS station is greater than the opening and closing time length boundary value, if so, executing step S3; otherwise, go to step S4; if the power failure release information, the EMS signal and the transformer area signal cannot be acquired, judging that the target line is adjusted in an operation mode;
step S3, power failure release information is obtained, and if the EMS opening and closing action time is in the power failure release information, the target line is judged to be an integral permanent fault; if the corresponding power failure release information cannot be obtained, continuously judging whether the corresponding station area signal can be obtained or not, and if the corresponding station area signal can be obtained, continuously judging that the whole line has a permanent fault;
step S4, the following cases are distinguished:
s41, judging whether the signal has an associated power failure release information, if not, continuously judging whether the signal has an associated power failure release information, if so, judging that the target line fault is subject to the power failure release information, and if not, judging that the operation mode is adjusted;
s42, judging whether the signal has an associated power failure release message or not, if so, judging whether the signal has an associated power failure release message or not, and if not, judging that the target line has an instantaneous fault when the average power failure time is less than the power failure time boundary value; if the average power failure time is larger than or equal to the power failure time boundary value, when the station area signal proportion is larger than or equal to the station area signal proportion boundary value, the target line is judged to be a permanent fault of the whole line, otherwise, the target line is judged to be an instantaneous fault of the branch line;
s43, when the station area signal and the power failure release information are related, if the average power failure time is larger than or equal to the power failure time boundary value and the station area signal proportion is larger than or equal to the station area signal proportion boundary value, judging that the target line is a whole line permanent fault; and if the station area signal proportion is smaller than the station area signal proportion boundary value, judging that the target line fault is based on power failure release information.
Corresponding to the method, the invention also discloses a power distribution network line fault judgment system which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that the processor implements the steps of the method when executing the computer program.
Similarly, the present invention also discloses a computer storage medium having a computer program stored thereon, which when executed by a processor implements the steps of the above method.
The invention has the following beneficial effects:
the power failure time boundary value, the transformer area signal proportion boundary value and the switching-on and switching-off time boundary value combination dividing the switch switching-on and switching-off time range in the EMS station into two stages are used for dividing different conditions, then different power distribution network data are fused for carrying out differentiated fault judgment, the trouble caused by incomplete and inaccurate state sensing data of the existing power distribution network to the faults of the power distribution network lines can be greatly eliminated, and the more accurate judgment of the line faults of the power distribution network is realized; therefore, reliable decision conditions are provided for subsequent maintenance scheduling, and the power supply reliability of the power distribution network of a power supply enterprise can be greatly improved.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification. In the drawings:
fig. 1 is a schematic flow chart of a method for determining a fault of a power distribution network line according to an embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
The embodiment discloses a method for judging a power distribution network line fault, which comprises the following steps as shown in fig. 1:
and step S1, initialization.
The method specifically comprises the following steps:
and S11, setting a power failure time boundary value for dividing the average power failure time range into two stages. Preferably, the blackout time threshold is 5 minutes.
S12, setting a station area signal proportion boundary value for dividing the station area signal proportion interval; the distribution room signal proportion is the proportion of the distribution room of the obtained distribution room signals in the total distribution room of the target line; the station area signal carries the power failure and restoration information of the corresponding station area. Preferably, the station signal proportion boundary value is 70%.
And S13, setting a switching-on and switching-off duration boundary value for dividing the switching-on and switching-off duration range of the switch in the EMS station into two stages. Preferably, the opening and closing time length boundary value is 5 minutes.
Step S2, obtaining an EMS signal, judging whether the opening and closing time length of a switch in the EMS station is greater than the opening and closing time length boundary value, if so, executing step S3; otherwise, go to step S4; and if the power failure release information, the EMS signal and the transformer area signal cannot be acquired, judging that the target line is adjusted in the operation mode.
Step S3, power failure release information is obtained, and if the EMS opening and closing action time is in the power failure release information, the target line is judged to be an integral permanent fault; and if the corresponding power failure release information cannot be obtained, continuously judging whether the corresponding station area signal can be obtained, and if the corresponding station area signal can be obtained, continuously judging that the whole line has a permanent fault.
Step S4, the following cases are distinguished:
and S41, judging whether the station area signal has the association, if not, continuously judging whether the power failure release information has the association, if so, judging that the target line fault is subject to the power failure release information, and if not, judging that the operation mode is adjusted.
S42, judging whether the signal has an associated power failure release message or not, if so, judging whether the signal has an associated power failure release message or not, and if not, judging that the target line has an instantaneous fault when the average power failure time is less than the power failure time boundary value; and if the average power failure time is greater than or equal to the power failure time boundary value, judging that the target line is a permanent fault of the whole line when the station area signal proportion is greater than or equal to the station area signal proportion boundary value, and otherwise, judging that the target line is an instantaneous fault of the branch line.
S43, when the station area signal and the power failure release information are related, if the average power failure time is larger than or equal to the power failure time boundary value and the station area signal proportion is larger than or equal to the station area signal proportion boundary value, judging that the target line is a whole line permanent fault; and if the station area signal proportion is smaller than the station area signal proportion boundary value, judging that the target line fault is based on power failure release information.
In the above steps, the acquisition manner of the platform area signal includes, but is not limited to, data acquisition by a concentrator of the power carrier meter reading system, the power outage release information may be acquired from a service system of a third party, and the EMS signal is generally directly acquired from the EMS system.
In this embodiment, based on the actual situation that the line is complicated and changeable, the method for determining the line fault of the power distribution network further includes any one or any combination of the following steps:
and step S5, when the EMS signal only has a brake-off signal, the line is a single-connection or multi-connection line, and the station area signal proportion is smaller than the station area signal proportion boundary value, judging that the target line is a branch line fault.
And step S6, when the power failure release information is a full-line power failure, associating any station area signal greater than or equal to the power failure time boundary value or any EMS signal greater than or equal to the opening and closing time boundary value in the time period described by the power failure release information, and judging that the target line is a permanent fault of the whole line.
And step S7, when the power failure release information is not matched with the related EMS signal or the district signal, filtering is carried out.
And step S8, if the same substation has power failure of more than a set number of unplanned lines within a set time and related power failure events have no EMS opening and closing signals, determining that the target line is a superior power grid fault.
Furthermore, it is worth mentioning that: in the embodiment, the fault judgment of the power distribution network line is not carried out on the conditions that a special line and a public transformer-free hitching line have no low-voltage users and the like.
Example 2
Corresponding to the above method, the present embodiment discloses a power distribution network line fault determination system, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.
Example 3
In correspondence with the above method, the present embodiment discloses a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the above method.
In summary, the method, the system and the computer storage medium for determining a fault of a power distribution network line disclosed in the above embodiments of the present invention at least have the following advantages:
the power failure time boundary value, the transformer area signal proportion boundary value and the switching-on and switching-off time boundary value combination dividing the switch switching-on and switching-off time range in the EMS station into two stages are used for dividing different conditions, then different power distribution network data are fused for carrying out differentiated fault judgment, the trouble caused by incomplete and inaccurate state sensing data of the existing power distribution network to the faults of the power distribution network lines can be greatly eliminated, and the more accurate judgment of the line faults of the power distribution network is realized; therefore, reliable decision conditions are provided for subsequent maintenance scheduling, and the power supply reliability of the power distribution network of a power supply enterprise can be greatly improved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. 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 (10)
1. A power distribution network line fault judgment method is characterized by comprising the following steps:
step S1, initializing, specifically including:
s11, setting a power failure time boundary value for dividing the average power failure time range into two stages;
s12, setting a station area signal proportion boundary value for dividing the station area signal proportion interval; the station area signal proportion is the proportion of the station area of the acquired station area signal in the total station area of the target line; the station area signal carries the power failure and restoration information of the corresponding station area;
s13, setting a switching-on and switching-off time length boundary value for dividing a switching-on and switching-off time length range in the EMS station into two stages;
step S2, obtaining an EMS signal, judging whether the opening and closing time length of a switch in the EMS station is greater than the opening and closing time length boundary value, if so, executing step S3; otherwise, go to step S4; if the power failure release information, the EMS signal and the transformer area signal cannot be acquired, judging that the target line is adjusted in an operation mode;
step S3, power failure release information is obtained, and if the EMS opening and closing action time is in the power failure release information, the target line is judged to be an integral permanent fault; if the corresponding power failure release information cannot be obtained, continuously judging whether the corresponding station area signal can be obtained or not, and if the corresponding station area signal can be obtained, continuously judging that the whole line has a permanent fault;
step S4, the following cases are distinguished:
s41, judging whether the station area signal is related, if not, continuously judging whether the power failure release information is related, if so, judging that the target line fault is subject to the power failure release information, and if not, judging that the operation mode is adjusted;
s42, judging whether the station area signal is related, if so, judging whether the power failure release information is related, and if not, judging that the target line is an instantaneous fault when the average power failure time is less than the power failure time boundary value; if the average power failure time is larger than or equal to the power failure time boundary value, when the station area signal proportion is larger than or equal to the station area signal proportion boundary value, the target line is judged to be a permanent fault of the whole line, otherwise, the target line is judged to be an instantaneous fault of the branch line;
s43, when the station area signal and the power failure release information are related, if the average power failure time is larger than or equal to the power failure time boundary value and the station area signal proportion is larger than or equal to the station area signal proportion boundary value, judging that the target line is a whole line permanent fault; and if the station area signal proportion is smaller than the station area signal proportion boundary value, judging that the target line fault is based on power failure release information.
2. The method for determining a line fault in a power distribution network according to claim 1, further comprising:
when the EMS signal only has a brake-off signal, the line is a single-connection or multi-connection line, and the station area signal proportion is smaller than the station area signal proportion boundary value, the target line is judged to be a branch line fault.
3. The method according to claim 1, wherein the blackout time threshold is 5 minutes.
4. The method according to claim 1, wherein the station signal ratio threshold is 70%.
5. The method for judging the line fault of the power distribution network according to claim 1, wherein the opening and closing time length boundary value is 5 minutes.
6. The method for determining a line fault in a power distribution network according to any one of claims 1 to 5, further comprising:
when the power failure release information is the full-line power failure, any station area signal greater than or equal to the power failure time boundary value or any EMS signal greater than or equal to the opening and closing time boundary value is associated only in the time period described by the power failure release information, and the target line is judged to be a permanent fault of the whole line.
7. The method for determining a line fault in a power distribution network according to any one of claims 1 to 5, further comprising:
and when the power failure release information is not matched with the related EMS signal or the district signal, filtering.
8. The method for determining a line fault in a power distribution network according to any one of claims 1 to 5, further comprising:
if the same transformer substation has power failure of more than a set number of unplanned lines within a set time and related power failure events have no EMS opening and closing signals, the target line is judged to be a superior power grid fault.
9. A system for determining faults in a power distribution network, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to perform the steps of the method according to any one of claims 1 to 8.
10. A storage medium having a computer program stored thereon, wherein the program is adapted to perform the steps of any of the methods of claims 1 to 8 when executed by a processor.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106451761A (en) * | 2016-07-21 | 2017-02-22 | 国网浙江省电力公司电力科学研究院 | Dynamic data driving-based automatic monitoring and analysis system for widespread blackout |
| CN111562460A (en) * | 2020-03-24 | 2020-08-21 | 广东电网有限责任公司广州供电局 | Power distribution network power failure event detection research and judgment method, device, computer equipment and medium |
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| US9318920B2 (en) * | 2012-06-01 | 2016-04-19 | Baltimore Gas And Electric Company | Method and system for the installation of fault circuit indicators on an electrical feeder |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106451761A (en) * | 2016-07-21 | 2017-02-22 | 国网浙江省电力公司电力科学研究院 | Dynamic data driving-based automatic monitoring and analysis system for widespread blackout |
| CN111562460A (en) * | 2020-03-24 | 2020-08-21 | 广东电网有限责任公司广州供电局 | Power distribution network power failure event detection research and judgment method, device, computer equipment and medium |
Non-Patent Citations (1)
| Title |
|---|
| 冷华等.省级配电自动化主站的停电信息资源池功能设计.《电力系统自动化》.2020, * |
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