CN112418555A - Rapid generation method and system for high-risk fault set of intensive power transmission channel - Google Patents
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Abstract
The invention relates to the technical field of electrical systems, and discloses a method and a system for quickly generating a high-risk fault set of a dense power transmission channel, which are used for quickly generating the high-risk fault set of the dense power transmission channel and providing important data support for high-efficiency analysis of safety risks of a large power grid. The method comprises the following steps: obtaining an affected power transmission line set according to disaster prediction or disaster monitoring data of the intensive power transmission channel; regarding each line in the set, regarding a subset of the transmission lines in the same transmission channel as a fault, and obtaining an initial fault set; based on the N-1 mode, removing the faults of which the safety stability margin of the power grid is larger than a set threshold value to obtain a simplified fault set; calculating the risk degree of each fault according to the power grid safety stability margin under each fault combination condition; and sequencing each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel.
Description
Technical Field
The invention relates to the technical field of electrical systems, in particular to a method and a system for quickly generating a high-risk fault set of a dense power transmission channel.
Background
In recent years, along with global climate change, extreme disaster events occur frequently, which has important influence on the safe operation of a power grid, and particularly, dense power transmission channels contain a large number of important power transmission lines, which can seriously threaten the stability of a large power grid once suffering from disaster.
The current power grid safety and stability analysis mainly focuses on N-1 safety check, but the dense power transmission channel presents an N-k fault mode under a disaster condition, and a high-risk fault set of the dense power transmission channel with high risk is very difficult to quickly screen.
Disclosure of Invention
The invention aims to disclose a method and a system for quickly generating a high-risk fault set of a dense power transmission channel, so as to quickly generate the high-risk fault set of the dense power transmission channel and provide important data support for high-efficiency analysis of the security risk of a large power grid.
In order to achieve the purpose, the invention discloses a method for quickly generating a high-risk fault set of a dense power transmission channel, which comprises the following steps:
step S1, obtaining disaster prediction or monitoring data of the intensive power transmission channel, and performing inversion calculation to obtain an affected power transmission line set;
step S2, regarding each line in the set, regarding a subset of the transmission lines in the same transmission channel as a fault according to the transmission channel where the line is located, and regarding other lines which do not belong to any transmission channel as independent faults; obtaining an initial fault set;
step S3, conducting N-1 grid safety and stability calculation on each fault in the initial fault set one by one to obtain a grid safety and stability margin under each fault condition;
s4, removing faults of which the safety stability margin of the power grid is larger than a set threshold value to obtain a reduced fault set;
step S5, sampling from the reduced fault set to generate at least five hundred fault combinations;
step S6, calculating the safety stability margin of the power grid under each fault combination condition;
step S7, calculating the risk degree of each fault, the calculation formula is as follows:
wherein R isiTo the extent of the risk of the ith fault,
for the fault combination containing the ith fault, f () is a power grid stability margin calculation function, N is the number of the fault combinations containing the ith fault, and M is the total number of the fault combinations;
and S8, sorting each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel.
Preferably, the manner of generating the fault combination in step S5 includes:
calculating the occurrence probability of each fault in the reduced fault set; and adopting a Monte Carlo method to perform fault combination according to the probability of each fault.
Preferably, the set threshold value in step S4 is 90. The selection proportion in the step S8 is the first 20-50%.
In order to achieve the above object, the present invention further discloses a system for rapidly generating a high-risk fault set of a dense power transmission channel, including:
the power transmission line fault inversion calculation subsystem comprises: the method is used for obtaining disaster prediction or disaster monitoring data of the intensive power transmission channel and obtaining an affected power transmission line set through inversion calculation;
an initial fault set generation subsystem: the method is used for regarding each line in the set as a fault according to the power transmission channel where the line is located, and regarding other sub-sets of power transmission lines which do not belong to any power transmission channel line as independent faults; obtaining an initial fault set;
the simplified fault set generation subsystem: the system comprises a fault set, a fault analysis unit and a fault analysis unit, wherein the fault set is used for carrying out N-1 grid safety and stability calculation on each fault in the initial fault set one by one to obtain a grid safety and stability margin under each fault condition;
dense transmission channel high risk fault set generation subsystem: the fault removing device is used for removing the fault of which the safety stability margin of the power grid is larger than a set threshold value to obtain a simplified fault set; sampling from the reduced fault set to generate at least five hundred fault combinations; calculating the safety stability margin of the power grid under each fault combination condition; and then calculating the risk degree of each fault, wherein the calculation formula is as follows:
wherein R isiTo the extent of the risk of the ith fault,
for the fault combination containing the ith fault, f () is a power grid stability margin calculation function, N is the number of the fault combinations containing the ith fault, and M is the total number of the fault combinations; and then sorting each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel.
Similarly, the manner of generating the fault combination by the dense power transmission channel high-risk fault set generation subsystem includes:
calculating the occurrence probability of each fault in the reduced fault set; and adopting a Monte Carlo method to perform fault combination according to the probability of each fault.
The invention has the following beneficial effects:
according to power grid disaster prediction or monitoring data, a high-risk fault set of the intensive power transmission channel with the maximum safe operation risk of the power grid can be rapidly generated, and targeted data support is provided for power grid disaster protection.
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, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a method for rapidly generating a high-risk fault set of a dense power transmission channel 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 quickly generating a high-risk fault set of a dense power transmission channel, as shown in fig. 1, including:
and step S1, obtaining disaster prediction or monitoring data of the intensive power transmission channel, and performing inversion calculation to obtain an affected power transmission line set.
Taking an A-area power grid containing dense power transmission channels as an example, the step of performing inversion calculation to obtain a set of affected power transmission lines as follows: s0 ═ 1000kV line 1, ± 800kV line 2, ± 800kV line 3, 500kV line 4, 500kV line 5, 500kV line 6, 500kV line 7, 500kV line 8, 220kV line 9, 220kV line 10, 220kV line 11 }.
Step S2, regarding each line in the set, regarding a subset of the transmission lines in the same transmission channel as a fault according to the transmission channel where the line is located, and regarding other lines which do not belong to any transmission channel as independent faults; an initial set of faults is obtained.
Corresponding to the area a power grid, the obtained initial fault set is as follows: s1 {1000kV line 1, { ± 800kV line 2, ± 800kV line 3}, {500kV line 4, 500kV line 5}, 500kV line 6, 500kV line 7, 500kV line 8, {220kV line 9, 220kV line 10}, 220kV line 11 }.
And step S3, performing N-1 power grid safety and stability calculation on each fault in the initial fault set one by one to obtain a power grid safety and stability margin under each fault condition.
And step S4, removing the faults of which the safety stability margin of the power grid is larger than a set threshold value to obtain a reduced fault set. Preferably, the set threshold for this step is 90.
Corresponding to the area a power grid, the obtained simplified fault set S2 ═ 1000kV line 1, { ± 800kV line 2, ± 800kV line 3}, {500kV line 4, 500kV line 5}, 500kV line 6, 500kV line 8, {220kV line 9, 220kV line 10} }.
And step S5, sampling from the reduced fault set to generate at least five hundred fault combinations.
Preferably, the method for generating the fault combination comprises the following steps: calculating the occurrence probability of each fault in the reduced fault set; and adopting a Monte Carlo method to perform fault combination according to the probability of each fault.
And step S6, calculating the safety and stability margin of the power grid under each fault combination condition.
And step S7, calculating the risk degree of each fault according to the power grid safety stability margin under each fault combination condition. The calculation formula is as follows:
wherein R isiTo the extent of the risk of the ith fault,
for the fault combination containing the ith fault, f () is a power grid stability margin calculation function, N is the number of the fault combinations containing the ith fault, and M is the total number of the fault combinations.
And S8, sorting each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel. Preferably, the proportion of the first 20-50% is selected for this step.
Corresponding to the area A power grid, the obtained intensive power transmission channel high-risk fault set is as follows: s3 { ± { 800kv line 2, ± 800kV line 3}, {500kV line 4, 500kV line 5} }.
Example 2
The embodiment discloses a system for quickly generating a high-risk fault set of a dense power transmission channel, which comprises:
the power transmission line fault inversion calculation subsystem comprises: and the method is used for obtaining disaster prediction or disaster monitoring data of the intensive power transmission channel and performing inversion calculation to obtain an affected power transmission line set.
An initial fault set generation subsystem: the method is used for regarding each line in the set as a fault according to the power transmission channel where the line is located, and regarding other sub-sets of power transmission lines which do not belong to any power transmission channel line as independent faults; an initial set of faults is obtained.
The simplified fault set generation subsystem: and the method is used for carrying out N-1 power grid safety and stability calculation on each fault in the initial fault set one by one to obtain the power grid safety and stability margin under each fault condition.
Dense transmission channel high risk fault set generation subsystem: the fault removing device is used for removing the fault of which the safety stability margin of the power grid is larger than a set threshold value to obtain a simplified fault set; sampling from the reduced fault set to generate at least five hundred fault combinations; calculating the safety stability margin of the power grid under each fault combination condition; and then calculating the risk degree of each fault, wherein the calculation formula is as follows:
wherein R isiTo the extent of the risk of the ith fault,
for the fault combination containing the ith fault, f () is a power grid stability margin calculation function, N is the number of the fault combinations containing the ith fault, and M is the total number of the fault combinations; and then sorting each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel.
In this embodiment, preferably, the manner of generating the fault combination by the dense power transmission channel high-risk fault set generation subsystem includes: calculating the occurrence probability of each fault in the reduced fault set; and adopting a Monte Carlo method to perform fault combination according to the probability of each fault.
In summary, the method and system for quickly generating a high-risk fault set of a dense power transmission channel disclosed in each of the embodiments of the present invention at least have the following beneficial effects:
according to power grid disaster prediction or monitoring data, a high-risk fault set of the intensive power transmission channel with the maximum safe operation risk of the power grid can be rapidly generated, and targeted data support is provided for power grid disaster protection.
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 (7)
1. A method for quickly generating a high-risk fault set of a dense power transmission channel is characterized by comprising the following steps:
step S1, obtaining disaster prediction or monitoring data of the intensive power transmission channel, and performing inversion calculation to obtain an affected power transmission line set;
step S2, regarding each line in the set, regarding a subset of the transmission lines in the same transmission channel as a fault according to the transmission channel where the line is located, and regarding other lines which do not belong to any transmission channel as independent faults; obtaining an initial fault set;
step S3, conducting N-1 grid safety and stability calculation on each fault in the initial fault set one by one to obtain a grid safety and stability margin under each fault condition;
s4, removing faults of which the safety stability margin of the power grid is larger than a set threshold value to obtain a reduced fault set;
step S5, sampling from the reduced fault set to generate at least five hundred fault combinations;
step S6, calculating the safety stability margin of the power grid under each fault combination condition;
step S7, calculating the risk degree of each fault, the calculation formula is as follows:
wherein R isiTo the extent of the risk of the ith fault,
for the fault combination containing the ith fault, f () is a power grid stability margin calculation function, N is the number of the fault combinations containing the ith fault, and M is the total number of the fault combinations;
and S8, sorting each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel.
2. The method for rapidly generating the dense power transmission channel high-risk fault set according to claim 1, wherein the step S5 includes:
calculating the occurrence probability of each fault in the reduced fault set; and adopting a Monte Carlo method to perform fault combination according to the probability of each fault.
3. The method for rapidly generating the dense power transmission channel high-risk fault set according to claim 1 or 2, wherein the set threshold value in the step S4 is 90.
4. The method for rapidly generating the dense power transmission channel high-risk fault set according to claim 1 or 2, wherein the selection ratio in the step S8 is the first 20-50%.
5. The method for rapidly generating the dense power transmission channel high-risk fault set according to claim 3, wherein the selection ratio in the step S8 is the first 20-50%.
6. A dense transmission channel high-risk fault set rapid generation system is characterized by comprising:
the power transmission line fault inversion calculation subsystem comprises: the method is used for obtaining disaster prediction or disaster monitoring data of the intensive power transmission channel and obtaining an affected power transmission line set through inversion calculation;
an initial fault set generation subsystem: the method is used for regarding each line in the set as a fault according to the power transmission channel where the line is located, and regarding other sub-sets of power transmission lines which do not belong to any power transmission channel line as independent faults; obtaining an initial fault set;
the simplified fault set generation subsystem: the system comprises a fault set, a fault analysis unit and a fault analysis unit, wherein the fault set is used for carrying out N-1 grid safety and stability calculation on each fault in the initial fault set one by one to obtain a grid safety and stability margin under each fault condition;
dense transmission channel high risk fault set generation subsystem: the fault removing device is used for removing the fault of which the safety stability margin of the power grid is larger than a set threshold value to obtain a simplified fault set; sampling from the reduced fault set to generate at least five hundred fault combinations; calculating the safety stability margin of the power grid under each fault combination condition; and then calculating the risk degree of each fault, wherein the calculation formula is as follows:
wherein R isiTo the extent of the risk of the ith fault,
for the fault combination containing the ith fault, f () is a power grid stability margin calculation function, N is the number of the fault combinations containing the ith fault, and M is the total number of the fault combinations; and then sorting each fault in the simplified fault set according to the sequence of the risk degree of each fault from large to small, and selecting the fault with large risk fault in proportion to be included in the high-risk fault set of the intensive power transmission channel.
7. The system for rapidly generating a dense transmission channel high-risk fault set according to claim 6, wherein the manner of generating the fault combination by the dense transmission channel high-risk fault set generation subsystem comprises:
calculating the occurrence probability of each fault in the reduced fault set; and adopting a Monte Carlo method to perform fault combination according to the probability of each fault.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101673948A (en) * | 2009-09-28 | 2010-03-17 | 国网电力科学研究院 | N-2 combined fault quick sequencing method for transient stability analysis of electric power system |
| CN103942731A (en) * | 2014-04-21 | 2014-07-23 | 国家电网公司 | Power grid anticipated fault set automatic generating method and system |
| CN104463692A (en) * | 2014-11-04 | 2015-03-25 | 华南理工大学 | High-voltage transmission line fault risk sequencing method considering real-time meteorological thunderstorm information |
| CN106451441A (en) * | 2016-11-25 | 2017-02-22 | 国网浙江省电力公司电力科学研究院 | Method for screening N-k fault set of power system rapidly |
| CN109378818A (en) * | 2018-10-25 | 2019-02-22 | 国网湖南省电力有限公司 | The risk analysis method and system of the concurrent cascading failure of power grid mountain fire disaster |
| CN111028101A (en) * | 2019-12-10 | 2020-04-17 | 国网湖南省电力有限公司 | Method and system for generating expected fault set of icing disaster of swarm intelligent power grids |
-
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- 2020-12-07 CN CN202011430915.8A patent/CN112418555A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101673948A (en) * | 2009-09-28 | 2010-03-17 | 国网电力科学研究院 | N-2 combined fault quick sequencing method for transient stability analysis of electric power system |
| CN103942731A (en) * | 2014-04-21 | 2014-07-23 | 国家电网公司 | Power grid anticipated fault set automatic generating method and system |
| CN104463692A (en) * | 2014-11-04 | 2015-03-25 | 华南理工大学 | High-voltage transmission line fault risk sequencing method considering real-time meteorological thunderstorm information |
| CN106451441A (en) * | 2016-11-25 | 2017-02-22 | 国网浙江省电力公司电力科学研究院 | Method for screening N-k fault set of power system rapidly |
| CN109378818A (en) * | 2018-10-25 | 2019-02-22 | 国网湖南省电力有限公司 | The risk analysis method and system of the concurrent cascading failure of power grid mountain fire disaster |
| CN111028101A (en) * | 2019-12-10 | 2020-04-17 | 国网湖南省电力有限公司 | Method and system for generating expected fault set of icing disaster of swarm intelligent power grids |
Non-Patent Citations (1)
| Title |
|---|
| 李文博等: "交直流混联系统连锁故障搜索模型及故障关联分析" * |
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Application publication date: 20210226 |