CN108318782B - Power distribution network fault area identification method based on network topology and distribution transformer power failure information - Google Patents
Power distribution network fault area identification method based on network topology and distribution transformer power failure information Download PDFInfo
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Abstract
The invention discloses a power distribution network fault area identification method based on network topology and distribution transformer power failure information, wherein power failure distribution transformer information is collected and matched with a topological circuit under the same moment section, and a power failure distribution transformer set corresponding to a power failure event is generated; finishing secondary composition according to the medium-voltage line single line diagram; randomly searching any power failure distribution transformer in the power failure distribution transformer set, and searching a nearest switch which is connected with the main line and is adjacent to the power failure distribution transformer from the power supply upstream according to the selected power failure distribution transformer; judging the property of the adjacent nearest switch; determining a line section power failure fault tolerance threshold value X; judging the power failure state of the section according to the section power failure evaluation confidence index M; if the centralized distribution transformers of the power failure distribution transformer are all marked, the power failure tripping switch, the push switch information and the power failure distribution transformer information are researched and judged according to the connection sequence of the main line and each section and the power failure state of each section. The method can identify the power failure fault section in the power distribution network on the line which is not provided with the power distribution automatic monitoring device.
Description
Technical Field
The invention relates to the field of power distribution network fault analysis of a power system, in particular to a power distribution network fault area identification method based on network topology and distribution transformer power failure information.
Background
The power distribution network is directly oriented to users, and has the characteristics of large equipment magnitude, wide coverage and more network nodes. In a comprehensive view of complex power supply operation environment of equipment and relative weak operation of the net rack, more than 80% of power failure accidents are caused by power distribution network faults according to statistics, the time length of power failure of the faults is closely related to the power utilization satisfaction degree of power consumers, and how to improve the power supply reliability and reduce the complaints of the users is an important technical attack and customs direction.
At present, the problem of opaque distribution network states is solved by collecting monitoring data through various distribution terminals through a distribution automation construction mode, but because the magnitude of distribution network equipment is huge, the distribution automation equipment cannot be constructed by investment on switches at all levels of a medium-voltage line, and therefore how to realize monitoring and perception of abnormal operation and fault power failure states of a distribution network based on the existing information basic platform and data resources is one of key research contents.
At present, a distribution network power consumption information acquisition system is completely constructed, full coverage is realized in distribution transformer level monitoring, but due to the fact that the distribution transformer quantity is large, factors such as unstable informatization transmission and the like cause the distribution transformer power loss data to have obvious quality problems, how to fully mine the existing distribution transformer power loss data and line topology data, a set of line power failure section studying and judging method capable of redundantly achieving dirty data is researched, the fault area of a distribution network is rapidly and accurately identified, and the method has important significance in the aspects of improving power supply service level and power supply reliability.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method for identifying a power distribution network fault area based on network topology and distribution and transformation power failure information, and solves the problem that the power distribution network fault area cannot be identified quickly due to low overall coverage rate of distribution automation.
In order to achieve the above purpose, the invention adopts the following technical scheme: a power distribution network fault area identification method based on network topology and distribution transformer power failure information is characterized in that: the method comprises the following steps:
the method comprises the following steps: under the section at the same moment, collecting power failure distribution transformer information and matching the topological lines to generate a power failure distribution transformer set corresponding to a power failure event;
step two: according to a medium-voltage line single-line diagram, completing secondary composition, determining a line main line according to a topological line, traversing downwards from a main line upstream switch, setting a medium-voltage line section between adjacent main line switches as a section, directly connecting a distribution transformer with the section, packaging and collecting to generate a section distribution transformer set, setting a branch switch as a section along the medium-voltage line section traversed at the downstream of power supply, generating the section distribution transformer set by the distribution transformer set in the section, and thus the secondary composition of the medium-voltage line single-line diagram mainly comprises the main line switches, the branch switches, the distribution transformer set and the connected line sections;
step three: randomly searching any power failure distribution transformer in the power failure distribution transformer set, and searching a nearest switch which is connected with the main line and is adjacent to the power failure distribution transformer from the power supply upstream according to the selected power failure distribution transformer;
step four: judging the property of the nearest adjacent switch, if the nearest adjacent switch is a main line switch, traversing downwards along the main line, setting a section between the nearest main line switch and the adjacent main line switch, packing distribution transformers directly connected with the main line into a set to be a section distribution transformer set in the section, calculating the power failure distribution transformer quantity T in the section distribution transformer set, calculating a section power failure evaluation confidence index M, and marking the section distribution transformer set; if the current switch is a branch switch, traversing downwards to set the current switch as a section, packaging distribution transformers at the downstream of the branch switch into a set to be a section distribution transformer set in the section, calculating a power failure distribution variable T in the section distribution transformer set, calculating a section power failure evaluation confidence index M, and marking the section distribution transformer set;
step five: determining a line section power failure fault-tolerant threshold X based on historical power failure and non-power failure distribution transformation data; judging the power failure state of the section according to the section power failure evaluation confidence index M, wherein the power failure state is represented by S, and the value is 1 if the power failure state is power failure, and the value is 0 if the power failure state is suspected to be power failure;
step six: judging whether the power failure distribution transformer set has unmarked distribution transformers or not, if so, randomly selecting the unmarked distribution transformers in the power failure distribution transformer set, and circulating the steps from the third step to the fifth step, and if encountering marked areas in the traversal, skipping over the marked areas; if the centralized distribution transformers of the power failure distribution transformer are all marked, the power failure tripping switch is researched and judged according to the connection sequence of the main line and each section and the power failure state of each section, and the switch information and the power failure distribution transformer information are pushed to operation and maintenance personnel in a system interface.
The method for identifying the fault area of the power distribution network based on the network topology and the distribution transformer power failure information is characterized by comprising the following steps of: the power failure distribution transformer information is a reported power failure event record of the distribution transformer received in the power utilization information acquisition system, and comprises basic machine account information of power failure time of the distribution transformer, a circuit to which the distribution transformer belongs, the administered distribution transformer data volume of the circuit, and the power failure distribution transformer quantity;
the matching topological circuit refers to the fact that power failure distribution transformers are connected with the same distribution network feeder line under the condition that the section is judged to be powered off at the same moment; the power failure distribution transformer set is a power failure distribution transformer set which is confirmed by a section at the same moment and is in topological matching;
the main line switch is a switch connected in series with the main line of the feeder line, and the branch switch is a switch connected in parallel or in T connection with the main line.
The method for identifying the fault area of the power distribution network based on the network topology and the distribution transformer power failure information is characterized by comprising the following steps of: the zone power failure assessment confidence index M is the ratio of the power failure distribution change count T in the zone to all the distribution changes R in the zone.
The method for identifying the fault area of the power distribution network based on the network topology and the distribution transformer power failure information is characterized by comprising the following steps of: and step five, judging the suspected power failure of the section if X is less than or equal to M and less than or equal to 100%, and judging the suspected power failure of the section if M is less than or equal to 0 and less than X.
The method for identifying the fault area of the power distribution network based on the network topology and the distribution transformer power failure information is characterized by comprising the following steps of: the specific process of judging the power failure tripping switch is as follows: according to the network topology connection relation and the section distribution transformer centralized power failure state, the power failure property is researched and judged,
the specific judging logic adopts a sequence from bottom to top, the power failure state of the switch is judged step by step from the tail end of a main line, if the switch is a branch switch, the power failure state is a section distribution and transformation collection power failure state, for the power failure state of the main line switch, the power failure state of each branch switch and the power failure state of an adjacent main line switch at the downstream of the main line switch is determined, and the specific calculation mode is as follows:
Riis the number of i-section distribution sets under the main line switch, S (R)i) Power failure of switch corresponding to i sectionA state; if S is greater than or equal to 1, the main line switch state is a power failure state, and if S is greater than or equal to 1, the main line switch state is a power failure state<1, power failure does not occur, and the upmost power failure switch is the trip switch after research and judgment through gradual upward calculation.
The method for identifying the fault area of the power distribution network based on the network topology and the distribution transformer power failure information is characterized by comprising the following steps of: the section at the same moment is the moment when power failure occurs to different distribution transformers at the same time, and the difference of power failure time of the distribution transformers is allowed to be a period of time error.
The invention achieves the following beneficial effects: the method can identify the power failure fault section in the power distribution network on the basis of the topological connection relation of the distribution network feeder network and the power failure information of the distribution transformer on the line which is not provided with the power distribution automatic monitoring device, and provides auxiliary support for the active first-aid repair of the distribution network.
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FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic topology diagram of an embodiment of the method of the present invention;
FIG. 3 is a graph showing the results of an example of the method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
As shown in fig. 1, a method for identifying a fault area of a power distribution network based on network topology and distribution transformer power failure information, which is implemented by analyzing redundant data based on a feeder topology relationship and distribution transformer power failure information of the power distribution network, includes the following steps:
the method comprises the following steps: under the same moment section, collecting power failure distribution transformer information and matching with related topological lines to generate a power failure event and a corresponding power failure distribution transformer set; the section at the same time is the time when power failure occurs simultaneously in different distribution transformers, and the power failure time of the distribution transformers is allowed to have a short time error (for example, 5 minutes);
step two: and finishing secondary composition according to the medium-voltage line single line diagram. The realization method comprises the following steps: determining a line main line according to the principle of most topological line main line switches, traversing downwards from a main line upstream switch, setting a medium-voltage line section between adjacent main line switches as a section, directly connecting distribution transformers with the section, packaging and collecting to generate the section distribution transformer set, setting a medium-voltage line section traversed by a branch switch along the power supply downstream as a section, generating the section distribution transformer set by the distribution transformer set in the section, and forming the main elements of a secondary composition of a medium-voltage line single-line diagram as the main line switch, the branch switch, the distribution transformer set and the connected line sections.
Step three: in the power failure distribution transformer set, randomly searching any power failure distribution transformer in the power failure distribution transformer set, and searching a nearest switch which is connected with the main line and is adjacent to the power failure distribution transformer from the power failure distribution transformer to the power supply upstream in the self-selection process; the power supply upstream is in the direction from the starting point to the bus outlet of the transformer substation connected with the feeder line according to the selected power failure distribution;
step four: judging the property of the current switch, if the current switch is a main line switch, traversing downwards along the main line, calculating the power failure distribution transformer quantity T in a distribution transformer set of the section and the section between the current switch and the adjacent main line switch, calculating a power failure evaluation confidence index M of the section, and marking the distribution transformer set of the section; if the current switch is a branch switch, calculating a power failure configuration number T in the section power failure configuration set, calculating a section power failure evaluation confidence index M, and marking the section power failure configuration set.
Step five: determining a line section power failure fault-tolerant threshold X based on historical power failure and non-power failure distribution transformation data; judging the power failure state of the switch section according to the power failure evaluation confidence index M under the switch section, wherein the power failure state is represented by S, if the power failure state is a power failure state, the value is 1, and if the power failure state is a suspected power failure state, the value is 0;
step six: judging whether the power failure distribution transformer set has unmarked distribution transformers or not, if so, randomly selecting the unmarked distribution transformers in the power failure distribution transformer set, and circulating the steps from the third step to the fifth step, if the marked section distribution transformer set is encountered in the traversal, skipping the marked section distribution transformer set; if the centralized distribution transformers of the power failure distribution transformer are all marked, the power failure tripping switch is researched and judged according to the main line, the connection sequence of each section and the power failure state of the centralized distribution transformer of each section, and the switch information and the power failure distribution transformer information are pushed to operation and maintenance personnel in a system interface.
Example (b):
as shown in fig. 2, a method for identifying a power distribution network fault area based on network topology and distribution transformer outage information includes the following specific steps:
the method comprises the following steps: under the same moment section, collecting power failure distribution transformer information and matching related topological lines, generating a power failure distribution transformer set corresponding to a power failure event according to the power failure event, and storing the power failure distribution transformer under the corresponding time section, wherein a power failure distribution transformer event record is shown in a table 1; the power failure distribution set record comprises the following parameters: and the main transformer name, the feeder name, the power failure time section, the distribution variable under the main transformer and the power failure distribution variable corresponding to the power failure event.
TABLE 1 Power outage distribution event record
Step two: according to the principle of the main line switch, the main line of the feeder line of the selected a main transformer b is traversed downwards from the main line upstream switch, and the main line is given as the main line in fig. 2 and passes through the main line switch 1, the main line switch 2 and the main line switch 3. The medium voltage line section between adjacent main line switches is set as a section, the distribution transformer directly connected with the section is packed into a set to generate the section distribution transformer set, such as the 3-section distribution transformer set of fig. 2, the distribution transformer in the distribution transformer set is not passed through the branch switch and is directly connected with the section between the main line switch 2 and the main line switch 3, the medium voltage line section traversed by the branch switch downstream along the power supply is a section, the distribution transformer set in the section generates the section distribution transformer set, such as the 2-section distribution transformer set in fig. 2, and thus the medium voltage line single line diagram is subjected to secondary composition to generate fig. 2.
Step three: randomly searching any power failure distribution transformer x in the power failure distribution transformer set, and searching a nearest switch main line switch 2 which is connected with a main line and is adjacent to the power failure distribution transformer from the power failure distribution transformer x to the power supply upstream in the self-selection process;
step four: the main line switch 2 is judged to be a main line switch, and traverses downwards along the main line, the power failure distribution variable quantity T of the 3-section power failure distribution variable set between the main line switch 2 and the adjacent main line switch 3 is calculated to be 1, the 3-section power failure evaluation confidence index M is calculated to be 1/2, and the section power failure distribution variable set is marked.
Step five: the fault-tolerant threshold X selected in the case is 30 percent;
the 3-segment outage assessment confidence index M is greater than 30%, and is judged as a suspected outage segment, and is marked as a dotted frame at the periphery of the 3-segment in FIG. 2 and marked as a suspected outage area in a packet.
Step six: and (3) judging whether the power failure distribution and transformation set has unmarked distribution and transformation, if so, randomly selecting unmarked distribution and transformation in the power failure distribution and transformation set, and circulating the steps, if the marked section is encountered in traversal, skipping the section distribution and transformation set, and finishing marking of other section distribution and transformation sets as shown in the figure 2.
In the case, distribution transformers in the power failure distribution transformer set are marked, and are judged from the tail end of the main line upwards step by step according to the connection sequence of the main line and each section and the power failure state of a packing section or branch, the power failure state of the main line switch 3 is judged firstly, the power failure evaluation confidence index M of the 6-section distribution transformer set is 3/4> X, the section is in the power failure state, the power failure state S of the main line switch 3 is 1, and by analogy, the power failure states S of the branch switches 2 and 3 are 1, so that the power failure state S of the main line switch 2 is calculated to be 1, the power failure state of the switch can be estimated, and the main line switch 2 is judged to be in the power failure state by combining the power failure of the distribution transformer sets of each section at the upstream of the switch. And the information, the position and the integral power failure information of the trip switch and the information of power failure and power failure distribution transformer in the package are pushed to operation and maintenance personnel on a system interface.
The method can identify the power failure fault section in the power distribution network on the basis of the topological connection relation of the distribution network feeder network and the power failure information of the distribution transformer on the line which is not provided with the power distribution automatic monitoring device, and provides auxiliary support for the active first-aid repair of the distribution network.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (6)
1. A power distribution network fault area identification method based on network topology and distribution transformer power failure information is characterized in that: the method comprises the following steps:
the method comprises the following steps: under the section at the same moment, collecting power failure distribution transformer information and matching the topological lines to generate a power failure distribution transformer set corresponding to a power failure event;
step two: according to a medium-voltage line single-line diagram, completing secondary composition, determining a line main line according to a topological line, traversing downwards from a main line upstream switch, setting a medium-voltage line section between adjacent main line switches as a section, directly connecting a distribution transformer with the section, packaging and collecting to generate a section distribution transformer set, setting a branch switch as a section along the medium-voltage line section traversed at the downstream of power supply, generating the section distribution transformer set by the distribution transformer set in the section, and thus the secondary composition of the medium-voltage line single-line diagram mainly comprises the main line switches, the branch switches, the distribution transformer set and the connected line sections;
step three: randomly searching any power failure distribution transformer in the power failure distribution transformer set, and searching a nearest switch which is connected with the main line and is adjacent to the power failure distribution transformer from the power supply upstream according to the selected power failure distribution transformer;
step four: judging the property of the nearest adjacent switch, if the nearest adjacent switch is a main line switch, traversing downwards along the main line, setting a section between the nearest main line switch and the adjacent main line switch, packing distribution transformers directly connected with the main line into a set to be a section distribution transformer set in the section, calculating the power failure distribution transformer quantity T in the section distribution transformer set, calculating a section power failure evaluation confidence index M, and marking the section distribution transformer set; if the current switch is a branch switch, traversing downwards to set the current switch as a section, packaging distribution transformers at the downstream of the branch switch into a set to be a section distribution transformer set in the section, calculating a power failure distribution variable T in the section distribution transformer set, calculating a section power failure evaluation confidence index M, and marking the section distribution transformer set;
step five: determining a line section power failure fault-tolerant threshold X based on historical power failure and non-power failure distribution transformation data; judging the power failure state of the section according to the section power failure evaluation confidence index M, wherein the power failure state is represented by S, and the value is 1 if the power failure state is power failure, and the value is 0 if the power failure state is suspected to be power failure;
step six: judging whether the power failure distribution transformer set has unmarked distribution transformers or not, if so, randomly selecting the unmarked distribution transformers in the power failure distribution transformer set, and circulating the steps from the third step to the fifth step, and if encountering marked areas in the traversal, skipping over the marked areas; if the centralized distribution transformers of the power failure distribution transformer are all marked, the power failure tripping switch is researched and judged according to the connection sequence of the main line and each section and the power failure state of each section, and the switch information and the power failure distribution transformer information are pushed to operation and maintenance personnel in a system interface.
2. The method for identifying the fault area of the power distribution network based on the network topology and the distribution and transformation blackout information as claimed in claim 1, wherein the method comprises the following steps: the power failure distribution transformer information is a reported power failure event record of the distribution transformer received in the power utilization information acquisition system, and comprises basic machine account information of power failure time of the distribution transformer, a circuit to which the distribution transformer belongs, the administered distribution transformer data volume of the circuit and the power failure distribution transformer quantity;
the matching topological circuit refers to the fact that power failure distribution transformers are connected with the same distribution network feeder line under the condition that the section is judged to be powered off at the same moment; the power failure distribution transformer set is a power failure distribution transformer set which is confirmed by a section at the same moment and is in topological matching;
the main line switch is a switch connected in series with the main line of the feeder line, and the branch switch is a switch connected in parallel or in T connection with the main line.
3. The method for identifying the fault area of the power distribution network based on the network topology and the distribution and transformation blackout information as claimed in claim 1, wherein the method comprises the following steps: the zone power failure assessment confidence index M is the ratio of the power failure distribution change count T in the zone to all the distribution changes R in the zone.
4. The method for identifying the fault area of the power distribution network based on the network topology and the distribution and transformation blackout information as claimed in claim 1, wherein the method comprises the following steps: and step five, judging the suspected power failure of the section if X is more than M and less than or equal to 100%, and judging the suspected power failure of the section if M is more than or equal to 0 and less than X.
5. The method for identifying the fault area of the power distribution network based on the network topology and the distribution and transformation blackout information as claimed in claim 1, wherein the method comprises the following steps: the specific process of judging the power failure tripping switch is as follows: according to the network topology connection relation and the section distribution transformer centralized power failure state, the power failure property is researched and judged,
the specific judging logic adopts a sequence from bottom to top, the power failure state of the switch is judged step by step from the tail end of a main line, if the switch is a branch switch, the power failure state is a section distribution and transformation collection power failure state, for the power failure state of the main line switch, the power failure state of each branch switch and the power failure state of an adjacent main line switch at the downstream of the main line switch is determined, and the specific calculation mode is as follows:
Riis the number of i-section distribution sets under the main line switch, S (R)i) Is the power failure state of the switch corresponding to the i section; if S is greater than or equal to 1, the main line switch state is a power failure state, and if S is greater than or equal to 1, the main line switch state is a power failure state<1, power failure does not occur, and the upmost power failure switch is the trip switch after research and judgment through gradual upward calculation.
6. The method for identifying the fault area of the power distribution network based on the network topology and the distribution and transformation blackout information as claimed in claim 1, wherein the method comprises the following steps: the section at the same moment is the moment when power failure occurs to different distribution transformers at the same time, and the difference of power failure time of the distribution transformers is allowed to be a period of time error.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005746A (en) * | 2010-11-30 | 2011-04-06 | 南京南瑞继保电气有限公司 | Method based on topology protection of distributing network |
| CN104218672A (en) * | 2014-07-11 | 2014-12-17 | 国家电网公司 | Real-time running status evaluation based power distribution network running risk warning system |
| CN104678258A (en) * | 2015-02-27 | 2015-06-03 | 国家电网公司 | Method for actively studying and judging power distribution network fault based on public/specific transformer information |
| CN105515199A (en) * | 2016-01-13 | 2016-04-20 | 山东大学 | Distributed fault detection method for intelligent power distribution network |
| CN107015121A (en) * | 2017-05-23 | 2017-08-04 | 国网江西省电力公司电力科学研究院 | A kind of distribution transforming stoppage in transit method for rapidly positioning |
-
2018
- 2018-01-29 CN CN201810082769.0A patent/CN108318782B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102005746A (en) * | 2010-11-30 | 2011-04-06 | 南京南瑞继保电气有限公司 | Method based on topology protection of distributing network |
| CN104218672A (en) * | 2014-07-11 | 2014-12-17 | 国家电网公司 | Real-time running status evaluation based power distribution network running risk warning system |
| CN104678258A (en) * | 2015-02-27 | 2015-06-03 | 国家电网公司 | Method for actively studying and judging power distribution network fault based on public/specific transformer information |
| CN105515199A (en) * | 2016-01-13 | 2016-04-20 | 山东大学 | Distributed fault detection method for intelligent power distribution network |
| CN107015121A (en) * | 2017-05-23 | 2017-08-04 | 国网江西省电力公司电力科学研究院 | A kind of distribution transforming stoppage in transit method for rapidly positioning |
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