CN115327299A - Method for identifying cascading failure of power system and related equipment - Google Patents

Method for identifying cascading failure of power system and related equipment Download PDF

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CN115327299A
CN115327299A CN202211007899.0A CN202211007899A CN115327299A CN 115327299 A CN115327299 A CN 115327299A CN 202211007899 A CN202211007899 A CN 202211007899A CN 115327299 A CN115327299 A CN 115327299A
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cascading failure
cascading
power system
elements
paths
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刘满君
江春华
陈显龙
杨晓东
司立新
范程洋
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Beijing Forever Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/088Aspects of digital computing
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Power Engineering (AREA)
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  • General Physics & Mathematics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The embodiment of the invention provides a method for identifying cascading failures of a power system and related equipment, wherein the method comprises the following steps: obtaining a plurality of cascading failure paths of a target power system, and constructing at least one cascading failure event tree based on each cascading failure path, wherein the cascading failure event tree is composed of a plurality of cascading failure paths comprising the same initial element, and for each cascading failure event tree: and respectively calculating a key index parameter of each initial element and a correlation index parameter between adjacent elements according to the identifier of each element of the cascading failure event tree and each cascading failure path, and determining the initial element with the key index parameter not less than a first preset threshold and other elements with the correlation index parameter not less than a second preset threshold as fragile elements, wherein the other elements are electrical elements except the initial elements in each cascading failure path. The invention realizes accurate identification of the cascading failure of the power system.

Description

Method for identifying cascading failure of power system and related equipment
Technical Field
The invention relates to the field of power system fault analysis, in particular to a power system cascading fault identification method and related equipment.
Background
With the increasing interconnection degree of the power network, the complexity of the power system is increased remarkably, and the risk of large-area power failure caused by faults of the power system is increased. In order to prevent the risk of large-area power failure of the power system, the existing 'safety and stability guide rule of the power system' sets the three-level safety and stability standard of the power system. However, the existing three-level safety and stability standard is mainly set for large-area power failure caused by single fault of the power system. For cascading failures caused by the fact that one element fails to cause other related elements to stop running, the existing three-level safety and stability standard cannot realize accurate identification and blocking. And because the initial stage of cascading failure generation is mostly hidden failure, the failure initial stage is not easy to be perceived. And the risk of large-area power failure caused by cascading failure is higher than that caused by single failure. Therefore, how to accurately identify the cascading failures of the power system becomes an urgent problem to be solved.
Disclosure of Invention
The embodiment of the invention aims to provide a method for identifying cascading failures of a power system and related equipment, so as to accurately identify the cascading failures of the power system. The specific technical scheme is as follows:
a method of identifying a power system cascading failure, the method comprising:
obtaining a plurality of cascading failure paths of a target power system, and constructing at least one cascading failure event tree based on each cascading failure path, wherein the cascading failure event tree is composed of the plurality of cascading failure paths comprising the same initial element;
for each cascading failure event tree: respectively calculating the key index parameter of each initial element and the correlation index parameter between each adjacent element according to the identifier of each element of the cascading failure event tree and each cascading failure path;
and determining the initial element with the key index parameter not less than a first preset threshold value and other elements with the correlation index parameter not less than a second preset threshold value as fragile elements, wherein the other elements are the electrical elements except the initial elements in each cascading failure path.
Optionally, the calculating process of the critical index parameter includes:
for each starting element: screening out at least one cascading failure path matching the identifier of the starting element;
by the formula:
Figure BDA0003809666710000021
calculating a criticality index parameter CM (l) of the start element l, wherein s is a cascading failure path in the cascading failure event tree, ES is a set of cascading failure paths in the cascading failure event tree, I (s | l) is a first predetermined function for determining whether an identifier matching the identifier of the start element l exists in the cascading failure path s, and CM (l) is a critical index parameter of the start element l max Is the total number of multiple cascading failure paths in the cascading failure event tree that match the identifier of the critical element, which is the starting element with the largest number of identifiers matching the cascading failure paths.
Optionally, the calculating process of the correlation index parameter includes:
for each adjacent element:
by the formula:
Figure BDA0003809666710000022
calculating a correlation index parameter IM (g, h) between the adjacent elements, wherein g is one element in the adjacent elements, h is the other element which is in the same chain fault path with g and is adjacent to the g, and seqIs a cascading failure path sequence in the cascading failure event tree, the I (g, h | seq) is a second predictive function for determining whether the g and h are located in the seq, the IM g Is the total number of cascading failure paths that start with the g element.
Optionally, the process of obtaining multiple cascading failure paths of the target power system includes:
obtaining load flow calculation parameters of the target power system;
based on the load flow calculation parameters, performing power system operation fault simulation by using a preset power system simulation model, and marking an electrical element with a primary fault and a secondary fault, wherein the secondary fault is caused by the primary fault, and the secondary fault and the primary fault have a corresponding relation;
determining an electrical element in which the primary fault occurs as the starting element, and determining an electrical element in which the secondary fault corresponding to the primary fault occurs as the other element;
obtaining a plurality of cascading failure paths for the target power system, wherein the cascading failure paths are power paths that include one of the starting elements and at least one of the other elements, and the secondary failures of the other elements in the cascading failure paths correspond to the primary failures of the starting elements.
Optionally, the method further includes:
invoking a fault blocking policy matching the identifier of the vulnerable component from a preset database.
A system for identification of a power system cascading failure, the system comprising:
the data construction unit is used for obtaining a plurality of cascading failure paths of a target power system and constructing at least one cascading failure event tree based on the cascading failure paths, wherein the cascading failure event tree is composed of the plurality of cascading failure paths comprising the same initial element.
A parameter calculation unit, configured to, for each cascading failure event tree: and respectively calculating the key index parameter of each initial element and the correlation index parameter between each adjacent element according to the identifier of each element of the cascading failure event tree and each cascading failure path.
And the element identification unit is used for determining the starting element of which the criticality index parameter is not less than a first preset threshold value and other elements of which the correlation index parameter is not less than a second preset threshold value as fragile elements, wherein the other elements are electrical elements except the starting element in each cascading failure path.
Optionally, when calculating the criticality index parameter, the parameter calculating unit is configured to:
for each starting element: screening out at least one cascading failure path matching the identifier of the starting element;
by the formula:
Figure BDA0003809666710000031
calculating a criticality index parameter CM (l) of the starting element l, wherein s is a cascading failure path in the cascading failure event tree, ES is a set of cascading failure paths in the cascading failure event tree, I (s | l) is a first predetermined function for determining whether an identifier matching the identifier of the starting element l exists in the cascading failure path s, and CM (l) is used for determining whether the identifier matching the identifier of the starting element l exists in the cascading failure path s max Is the total number of multiple cascading failure paths in the cascading failure event tree that match the identifier of the critical element, which is the starting element with the largest number of identifiers matching the cascading failure paths.
Optionally, when calculating the correlation index parameter, the parameter calculating unit is configured to:
for each adjacent element:
by the formula:
Figure BDA0003809666710000041
calculating a correlation index parameter IM (g, h) between the adjacent elements, wherein g is one of the adjacent elements, h is the other adjacent element in the same cascading failure path as g, seq is a cascading failure path sequence in the cascading failure event tree, I (g, h | seq) is a second predetermined function for determining whether g and h are located in seq, and IM (g, h | seq) is used for determining whether g and h are located in seq g Is the total number of cascading failure paths that start with the g element.
Optionally, when the data construction unit obtains multiple cascading failure paths of the target power system, the data construction unit is configured to:
and acquiring load flow calculation parameters of the target power system.
Based on the load flow calculation parameters, performing power system operation fault simulation by using a preset power system simulation model, and marking an electrical element with a primary fault and a secondary fault, wherein the secondary fault is caused by the primary fault, and the secondary fault and the primary fault have a corresponding relation;
determining an electrical element in which the primary fault occurs as the starting element, and determining an electrical element in which the secondary fault corresponding to the primary fault occurs as the other element;
obtaining a plurality of cascading failure paths for the target power system, wherein the cascading failure paths are power paths that include one of the starting elements and at least one of the other elements, and the secondary failures of the other elements in the cascading failure paths correspond to the primary failures of the starting elements.
Optionally, the system for identifying cascading failure of the power system further includes:
and the strategy calling unit is used for calling the fault blocking strategy matched with the identifier of the fragile element from a preset database.
An apparatus for identification of a power system cascading failure, the apparatus comprising:
a processor;
a memory for storing the processor-executable instructions.
Wherein the processor is configured to execute the instructions to implement the method for identifying cascading failure of a power system as any one of the above.
A computer readable storage medium, instructions of which, when executed by a processor of an identification device of a power system cascading failure, enable the identification device to perform the identification method of the power system cascading failure as any one of the above.
The identification method of the cascading failures of the power system and the related equipment provided by the embodiment of the invention can realize accurate calibration of the elements corresponding to a series of cascading failures caused by the failures of the elements under the condition that a certain element in the power system fails by introducing the cascading failure event tree. Meanwhile, by introducing key index parameters, the harm degree of each electrical element to the power system when the electrical element breaks down is quantized, and therefore the key elements which are easy to break down and cause large-area power failure in the power system are accurately identified. Finally, the safety and stability threshold value of the power system is introduced, and the safety and stability threshold value is compared with the preset threshold value, so that compared with a manual judgment mode in the prior art, the method disclosed by the invention improves the screening precision of the fragile element. And then the accurate identification of each electrical apparatus element related to cascading failure in the power system is improved. Therefore, the method and the device realize accurate identification of the cascading failure of the power system.
Of course, it is not necessary for any product or method of practicing the invention to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for identifying cascading failures in an electrical power system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a cascading failure event tree provided in an alternative embodiment of the present invention;
fig. 3 is a block diagram of a power system cascading failure identification system according to another alternative embodiment of the present invention;
fig. 4 is a block diagram of an apparatus for identifying cascading failures in a power system according to another alternative embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a method for identifying cascading failures of a power system, which comprises the following steps of:
s101, obtaining a plurality of cascading failure paths of a target power system, and constructing at least one cascading failure event tree based on each cascading failure path, wherein the cascading failure event tree is composed of the plurality of cascading failure paths comprising the same initial element.
Optionally, in an optional embodiment of the present invention, the cascading failure event Tree is a Failure Tree (FTA) that characterizes a failure occurrence relationship between elements when a cascading failure occurs in the power system. In practical applications, an electric power system generally includes a large number of electric components, and different and complex connection relationships exist between different electric components. When one component fails, the electrical components within the influence range of the failure cannot be efficiently and accurately found. And the fault tree describes the causal relationship among events in the system through an event symbol, a logic gate symbol and a transition symbol. Therefore, by introducing the cascading failure event tree, the invention can realize accurate calibration of the elements corresponding to a series of cascading failures caused by the failures of the elements under the condition that some element in the power system fails. Thereby improving the accuracy of subsequent identification of the fragile element.
To facilitate an understanding of the above-described cascading failure event tree, a description is provided herein in connection with an alternative embodiment of the present invention:
fig. 2 is a schematic diagram of a cascading failure event tree. The circles numbered 1 to 6 in the drawing respectively represent a plurality of electrical components in an electrical power system. The single-headed arrows in the figure characterize the connection between the starting electrical components and the downstream electrical components. For convenience of description, the electrical component in fig. 2 is set to be in a fault state, and only the electrical component downstream thereof is affected.
If the electrical component labeled 1 is the starting component, the cascading failure time tree shown in fig. 2 includes a first failure path, a second failure path, and a third failure path when the starting component fails. Wherein the first fault path includes electrical components numbered 1, 2 and 4. The second fault path includes electrical components numbered 1, 2 and 5. The third fault path includes electrical components numbered 1, 3 and 6.
If the electrical component labeled 2 is the starting component, the cascading failure time tree shown in fig. 2 includes a fourth failure path and a fifth failure path when the starting component fails. Wherein the fourth fault path includes electrical components numbered 2 and 4. The fifth fault path includes electrical components numbered 2 and 5.
S102, for each cascading failure event tree: and respectively calculating the key index parameter of each initial element and the correlation index parameter between each adjacent element according to the identifier of each element of the cascading failure event tree and each cascading failure path.
Optionally, in an optional embodiment of the present invention, the Critical Metrics (CM) parameter may be used to characterize the damage degree of the starting component to the power system when the starting component fails. For example: assume that there are three possible cascading failure paths in the power system, two of which are initiated by the first element and the other of which is initiated by the second element. The critical index parameter of the first component is two thirds and the critical index parameter of the second component is one third.
Due to the existing power system simulation models, only electrical components with a specific failure can be identified. The influence degree, the range and other indexes of the fault of the electric element in the power system cannot be accurately identified. Therefore, the invention realizes the quantification of the damage degree of each electrical element to the power system when the electrical element fails by introducing the key index parameters, thereby realizing the accurate identification of the key elements which are easy to fail and cause large-area power failure in the power system.
Optionally, in another optional embodiment of the present invention, the correlation Indexes (IM) may be used to characterize the degree to which the electrical element associated with one electrical element is affected when the electrical element fails. Since in practical application scenarios, there are a plurality of types of faults generated by different electrical components, the range and degree of influence generated by different types of faults are also different. This can result in excessive motor current, for example, in the event of excessive loop current and short-circuiting of the fuse. Excessive motor current and motor seizure can cause overheating of the motor. But obviously, the damage to the motor caused by the motor jamming is higher than the damage caused by the overlarge motor current. Therefore, the influence degree quantization of the faults between adjacent elements is realized by introducing the correlation indexes, so that the other elements which are easily influenced by the faults of the associated elements and cause the cascading faults in the power system are accurately identified.
And S103, determining the initial element with the key index parameter not less than the first preset threshold and other elements with the correlation index parameter not less than the second preset threshold as fragile elements, wherein the other elements are the electrical elements except the initial elements in each cascading failure path.
It should be noted that, the method for setting the first preset threshold and the second preset threshold may be a proportional value of a fault path caused by each element, which accounts for all fault paths in the current system, in a traversal manner. And after the elements are arranged according to the proportion numerical value in the descending order of numerical value, according to the requirement of an actual application scene, determining the proportion numerical value with the minimum numerical value in the plurality of electrical elements which are arranged at the front as the first preset threshold value and the second preset threshold value. The specific values of the first preset threshold and the second preset threshold can be set by self aiming at different application scenes, and the specific values and the setting modes of the two preset thresholds are not limited too much.
Optionally, in an optional embodiment of the present invention, the fragile component may be an electrical component that is prone to malfunction in the target power system and that the malfunction is prone to cause a large-area power outage, or an electrical component that is prone to cascading malfunction due to malfunction of another electrical component and that is prone to cause a large-area power outage. According to the invention, the safety and stability threshold value is compared with the preset threshold value, so that compared with a manual judgment mode in the prior art, the screening precision of the fragile element is improved. And then the accurate identification of each electrical component related to cascading failure in the power system is improved.
According to the invention, by introducing the cascading failure event tree, the elements corresponding to a series of cascading failures caused by the failures of the elements can be accurately calibrated under the condition that a certain element in the power system fails. Meanwhile, by introducing key index parameters, the harm degree of each electrical element to the power system when the electrical element breaks down is quantized, and therefore the key elements which are easy to break down and cause large-area power failure in the power system are accurately identified. Finally, the safety and stability threshold value of the power system is introduced, and the safety and stability threshold value is compared with the preset threshold value, so that compared with a manual judgment mode in the prior art, the method disclosed by the invention improves the screening precision of the fragile element. And then the accurate identification of each electrical apparatus element related to cascading failure in the power system is improved. Therefore, the method and the device realize accurate identification of the cascading failure of the power system.
Optionally, the calculating process of the critical index parameter includes:
for each starting element: at least one cascading failure path that matches the identifier of the originating component is screened.
By the formula:
Figure BDA0003809666710000091
calculating a critical index parameter CM (l) of the start element l, where s is a chain fault path in the chain fault event tree, ES is a set of chain fault paths in the chain fault event tree, I (s | l) is a first predetermined function for determining whether there is an identifier in the chain fault path s that matches the identifier of the start element l, and CM (l) is a critical index parameter of the start element l, where s is a chain fault path set in the chain fault event tree, where I (s | l) is a first predetermined function for determining whether there is an identifier in the chain fault path s that matches the identifier of the start element l, and CM (l) is a critical index parameter of the start element l max The value of (a) is the total number of the multiple cascading failure paths that the identifier of the critical element matches in the cascading failure event tree, and the critical element is the starting element whose identifier matches the largest number of cascading failure paths.
Optionally, in an optional embodiment of the present invention, the predetermined indicative function (characteristic function) is a corresponding relationship between the predetermined indicative function and a function with two values, i.e. 0 and 1, for characterizing whether an event occurs or not. For example, in the case where an identifier matching the identifier of the start element l exists in the cascading failure path s, the output result of the first predictive function is 1. If not, the output result is 0.
It should be noted that the above formula characterizes the number of cascading failure paths that are triggered by different initiating elements in the event of a primary failure. The larger the critical index parameter, the more cascading failure paths generated when the initial element has a primary failure, the larger the influence range.
Optionally, the calculating process of the correlation index parameter includes:
for each adjacent element:
by the formula:
Figure BDA0003809666710000092
calculating a correlation index parameter IM (g, h) between the adjacent elements, wherein g is one of the adjacent elements, h is the other adjacent element in the same cascading failure path as g, seq is a cascading failure path sequence in the cascading failure event tree, I (g, h | seq) is a second predetermined function for determining whether g and h are in seq, IM (g, h | seq) is g Is the total number of cascading failure paths that start with the element g.
It should be noted that, once a fault occurs in the power system, the cascading failure evolution process of the system must be analyzed to find the next-stage electrical component and line that may fail, so as to prevent the cascading failure from occurring and expanding. Therefore, by the above formula, the probability that two adjacent electrical components fail in succession can be obtained. And further determines the electrical component having a high probability of occurrence of the secondary failure.
Optionally, the process of obtaining multiple cascading failure paths of the target power system includes:
and obtaining load flow calculation parameters of the target power system.
And based on the load flow calculation parameters, performing power system operation fault simulation by using a preset power system simulation model, and marking the electric elements with primary faults and secondary faults, wherein the secondary faults are caused by the primary faults, and the secondary faults have corresponding relations with the primary faults.
An electrical component in which a primary fault occurs is determined as an originating component, and an electrical component in which a secondary fault corresponding to the primary fault occurs is determined as another component.
A plurality of cascading failure paths of the target power system are obtained, wherein the cascading failure paths are power paths comprising a starting element and at least one other element, and secondary failures of the other elements in the cascading failure paths correspond to primary failures of the starting element.
Optionally, in an optional embodiment of the present invention, the power flow calculation parameter may include multiple types of power flow parameters of the power system. For example: target power system topology, voltage, frequency, power angle, active power, reactive power, and the like.
Optionally, the method shown in fig. 1 further includes:
from a preset database, a fault blocking policy is invoked that matches the identifier of the fragile element.
Optionally, in an optional embodiment of the present invention, the fault blocking policy may be a policy for blocking cascading faults, which is established according to parameters such as the type and the function of the fragile element. For example, if the vulnerable component is a disconnector, its function in the target power system is to switch lines. If the upper-stage element has power failure fault, the corresponding fault blocking strategy controls the isolating switch to execute line switching operation so as to enable the downstream power grid to switch lines.
Correspondingly to the above method embodiment, the present invention further provides an identification system for cascading failure of an electrical power system, as shown in fig. 3, the identification system includes:
the data construction unit 301 is configured to obtain multiple cascading failure paths of the target power system, and construct at least one cascading failure event tree based on the cascading failure paths, where the cascading failure event tree is composed of multiple cascading failure paths including a same starting element.
A parameter calculating unit 302, configured to, for each cascading failure event tree: and respectively calculating the key index parameter of each initial element and the correlation index parameter between each adjacent element according to the identifier of each element of the cascading failure event tree and each cascading failure path.
The component identification unit 303 is configured to determine, as the fragile component, an initial component of which the critical indicator parameter is not less than a first preset threshold, and other components of which the correlation indicator parameter is not less than a second preset threshold, where the other components are electrical components of each cascading failure path except the initial component.
Optionally, when calculating the critical index parameter, the parameter calculating unit 302 is configured to:
for each starting element: at least one cascading failure path that matches the identifier of the originating component is screened.
By the formula:
Figure BDA0003809666710000111
calculating a critical index parameter CM (l) of the start element l, where s is a chain fault path in the chain fault event tree, ES is a set of chain fault paths in the chain fault event tree, I (s | l) is a first predetermined function for determining whether there is an identifier in the chain fault path s that matches the identifier of the start element l, and CM (l) is a critical index parameter of the start element l, where s is a chain fault path set in the chain fault event tree, where I (s | l) is a first predetermined function for determining whether there is an identifier in the chain fault path s that matches the identifier of the start element l, and CM (l) is a critical index parameter of the start element l max The value of (b) is the total number of the multiple cascading failure paths in the cascading failure event tree that the identifier of the critical element matches, and the critical element is the starting element with the largest number of identifier matching cascading failure paths.
Optionally, when calculating the correlation index parameter, the parameter calculating unit 302 is configured to:
for each adjacent element:
by the formula:
Figure BDA0003809666710000112
calculating a correlation index parameter IM (g, h) between the adjacent elements, wherein g is one of the adjacent elements, h is the other adjacent element in the same cascading failure path as g, seq is a cascading failure path sequence in the cascading failure event tree, I (g, h | seq) is a second predetermined function for determining whether g and h are in seq, IM (g, h | seq) is g Is the total number of cascading failure paths that start with the element g.
Optionally, when obtaining multiple cascading failure paths of the target power system, the data construction unit 301 is configured to:
and obtaining load flow calculation parameters of the target power system.
And based on the power flow calculation parameters, performing power system operation fault simulation by using a preset power system simulation model, and marking the electrical elements with primary faults and secondary faults, wherein the secondary faults are caused by the primary faults, and the secondary faults have corresponding relations with the primary faults.
An electrical component in which a primary fault occurs is determined as an originating component, and an electrical component in which a secondary fault corresponding to the primary fault occurs is determined as an other component.
A plurality of cascading failure paths of the target power system are obtained, wherein the cascading failure paths are power paths comprising a starting element and at least one other element, and secondary failures of the other elements in the cascading failure paths correspond to primary failures of the starting element.
Optionally, the system shown in fig. 3 further includes:
and the strategy calling unit is used for calling the fault blocking strategy matched with the identifier of the fragile element from a preset database.
An embodiment of the present invention further provides an identification device for cascading failures of an electrical power system, as shown in fig. 4, the identification device includes:
a processor 401;
a memory 402 for storing instructions executable by the processor 401.
Wherein the processor 401 is configured to execute instructions to implement the method for identifying cascading failures of a power system as shown in fig. 1.
Embodiments of the present invention also provide a computer-readable storage medium, where instructions in the computer-readable storage medium, when executed by a processor of an identification device for a power system cascading failure, enable the identification device to perform the identification method for a power system cascading failure as shown in fig. 1.
The memory may include volatile memory in a computer readable medium, random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art to which the present application pertains. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (10)

1. A method for identifying cascading failures of a power system is characterized by comprising the following steps:
obtaining a plurality of cascading failure paths of a target power system, and constructing at least one cascading failure event tree based on each cascading failure path, wherein the cascading failure event tree is composed of the plurality of cascading failure paths comprising the same initial element;
for each cascading failure event tree: respectively calculating the key index parameter of each initial element and the correlation index parameter between each adjacent element according to the identifier of each element of the cascading failure event tree and each cascading failure path;
and determining the initial element with the key index parameter not less than a first preset threshold value and other elements with the correlation index parameter not less than a second preset threshold value as fragile elements, wherein the other elements are the electrical elements except the initial elements in each cascading failure path.
2. The method according to claim 1, wherein the calculating of the criticality index parameter comprises:
for each starting element: screening out at least one cascading failure path matching the identifier of the starting element;
by the formula:
Figure FDA0003809666700000011
calculating a criticality index parameter CM (l) of the start element l, wherein s is a cascading failure path in the cascading failure event tree, ES is a set of cascading failure paths in the cascading failure event tree, I (s | l) is a first predetermined function for determining whether an identifier matching the identifier of the start element l exists in the cascading failure path s, and CM (l) is a critical index parameter of the start element l max Is the total number of multiple cascading failure paths in the cascading failure event tree that match the identifier of the critical element, which is the starting element with the largest number of identifiers matching the cascading failure paths.
3. The method according to claim 2, wherein the calculation of the correlation index parameter comprises:
for each adjacent element:
by the formula:
Figure FDA0003809666700000021
calculating a correlation index parameter IM (g, h) between the adjacent elements, wherein g is one element in the adjacent elements, h is the other adjacent elements in the same cascading failure path as g, seq is a cascading failure path sequence in the cascading failure event tree, and I (g, h | seq) is a second preset function for judging whether g and h are located in the cascading failure event tree or notIn the seq, the IM g Is the total number of cascading failure paths that start with the g element.
4. The method of claim 1, wherein the process of obtaining a plurality of cascading failure paths for a target power system comprises:
obtaining load flow calculation parameters of the target power system;
based on the load flow calculation parameters, performing power system operation fault simulation by using a preset power system simulation model, and marking an electrical element with a primary fault and a secondary fault, wherein the secondary fault is caused by the primary fault, and the secondary fault and the primary fault have a corresponding relation;
determining an electrical element in which the primary fault occurs as the initiating element, and determining an electrical element in which the secondary fault corresponding to the primary fault occurs as the other element;
obtaining a plurality of cascading failure paths for the target power system, wherein the cascading failure paths are power paths that include one of the originating elements and at least one of the other elements, the secondary failures of the other elements in the cascading failure paths corresponding to the primary failure of the originating element.
5. The method of claim 1, further comprising:
and calling a fault blocking strategy matched with the identifier of the fragile element from a preset database.
6. A system for identifying cascading failures in a power system, the system comprising:
the system comprises a data construction unit, a data storage unit and a data processing unit, wherein the data construction unit is used for obtaining a plurality of cascading failure paths of a target power system and constructing at least one cascading failure event tree based on each cascading failure path, and the cascading failure event tree is composed of the plurality of cascading failure paths comprising the same initial element;
a parameter calculation unit, configured to, for each cascading failure event tree: respectively calculating the key index parameter of each initial element and the correlation index parameter between each adjacent element according to the identifier of each element of the cascading failure event tree and each cascading failure path;
and the element identification unit is used for determining the starting element of which the key index parameter is not less than a first preset threshold and other elements of which the correlation index parameter is not less than a second preset threshold as fragile elements, wherein the other elements are electrical elements except the starting element in each cascading failure path.
7. A system according to claim 6, wherein in calculating the criticality index parameter, the parameter calculation unit is arranged to:
for each starting element: screening out at least one cascading failure path matching the identifier of the starting element;
by the formula:
Figure FDA0003809666700000031
calculating a criticality index parameter CM (l) of the start element l, wherein s is a cascading failure path in the cascading failure event tree, ES is a set of cascading failure paths in the cascading failure event tree, I (s | l) is a first predetermined function for determining whether an identifier matching the identifier of the start element l exists in the cascading failure path s, and CM (l) is a critical index parameter of the start element l max Is the total number of multiple cascading failure paths in the cascading failure event tree that match the identifier of the critical element, which is the starting element with the largest number of identifiers matching the cascading failure paths.
8. The system according to claim 7, wherein in calculating the relevance indicator parameter, the parameter calculation unit is arranged to:
for each adjacent element:
by the formula:
Figure FDA0003809666700000032
calculating a correlation index parameter IM (g, h) between the adjacent elements, wherein g is one element in the adjacent elements, h is the other element which is in the same cascading failure path and adjacent to g, seq is a cascading failure path sequence in the cascading failure event tree, I (g, h | seq) is a second preset function for judging whether g and h are located in the seq, and IM g Is the total number of cascading failure paths that start with the g element.
9. An apparatus for identifying cascading failures in a power system, the apparatus comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of identifying a power system cascading failure as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, wherein instructions in the computer-readable storage medium, when executed by a processor of a power system cascading failure identification device, enable the identification device to perform the power system cascading failure identification method according to any one of claims 1 to 5.
CN202211007899.0A 2022-08-22 2022-08-22 Method for identifying cascading failure of power system and related equipment Pending CN115327299A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115932476A (en) * 2022-12-12 2023-04-07 触景无限科技(北京)有限公司 Fault positioning method and device based on digital twinning, electronic equipment and medium
CN117849512A (en) * 2024-01-19 2024-04-09 深圳市轩宇软件开发有限公司 Motorcycle electrical system fault detection system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115932476A (en) * 2022-12-12 2023-04-07 触景无限科技(北京)有限公司 Fault positioning method and device based on digital twinning, electronic equipment and medium
CN115932476B (en) * 2022-12-12 2023-08-29 触景无限科技(北京)有限公司 Fault positioning method and device based on digital twin, electronic equipment and medium
CN117849512A (en) * 2024-01-19 2024-04-09 深圳市轩宇软件开发有限公司 Motorcycle electrical system fault detection system

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