CN110189038B - Power grid risk analysis method and system, computer device and storage medium - Google Patents

Power grid risk analysis method and system, computer device and storage medium Download PDF

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CN110189038B
CN110189038B CN201910476871.3A CN201910476871A CN110189038B CN 110189038 B CN110189038 B CN 110189038B CN 201910476871 A CN201910476871 A CN 201910476871A CN 110189038 B CN110189038 B CN 110189038B
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risk
range
risk range
power
communication side
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CN110189038A (en
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刘新展
李伟坚
李星南
朱文红
施展
亢中苗
李溢杰
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Guangdong Power Grid Co Ltd
Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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Electric Power Dispatch Control Center of Guangdong Power Grid Co Ltd
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    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The application discloses a computer device applied to power grid risk analysis, a power grid risk analysis method, a power grid risk analysis system and a storage medium, wherein the computer device comprises: a memory storing a computer program; a processor for implementing the following steps when executing the computer program: respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side; respectively carrying out risk identification according to the first maintenance order and the second maintenance order to obtain a first risk range of the primary side of the power and a second risk range of the communication side; acquiring a third risk range of a communication side corresponding to the first risk range and a fourth risk range of a power primary side corresponding to the second risk range by a physical-information flow coupling calculation method; and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively. Through the method and the device, the equipment on two sides needing attention in the risk range can be comprehensively obtained without omission, so that the influence of maintenance can be rapidly and accurately mastered.

Description

Power grid risk analysis method and system, computer device and storage medium
Technical Field
The invention relates to the field of power communication, in particular to a power grid risk analysis method, a power grid risk analysis system, a computer device and a storage medium.
Background
With the development of smart power grids and energy internet and the rapid progress of communication and internet technologies, the problem of influence of information links on a physical system is more prominent, and cross-space cascading failures are induced. A large number of advanced information technologies are applied to the intelligent power grid, the types and the number of sensors, the scale and the complexity of an information network and the number of decision units are greatly increased, and the close integration and the cooperative work of an information space and a power system are realized.
Various functions of the advanced information system provide important technical guarantee for safe and stable economic operation of the power grid, but meanwhile, the consequences caused by defects or failures of the information communication system are more destructive. Meanwhile, with the opening of the electric power market, the frequent terrorist attack and network attack, the introduction of extra-high voltage and new energy power supplies, the complex and fragile electric power network becomes more fragile, the risk propagation mechanism under the background of information and physics fusion is complicated, and the electric network bears the potential risk of large-area power failure accidents caused by multiple faults or cascading faults.
Therefore, how to provide a solution for jointly solving the accident risk of the power network and the communication network is a problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a method, a system, a computer device and a storage medium for analyzing a risk of a power grid, so as to improve accuracy of risk judgment in the power grid system. The specific scheme is as follows:
a computer apparatus for grid risk analysis, comprising:
a memory for storing a computer program;
a processor for implementing the following steps when executing the computer program:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary side of the power corresponding to the second risk range by a physical-information flow coupling calculation method;
and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
Preferably, the first risk range, the second risk range, the third risk range and the fourth risk range each include risk devices and/or stations.
Preferably, the processor is specifically configured to implement the following steps when executing the computer program:
and acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side.
Preferably, the processor is specifically configured to implement the following steps when executing the computer program:
acquiring a first prediction range of the communication side corresponding to the first risk range and a second prediction range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side;
and determining the third risk range from the first prediction range and determining the fourth risk range from the second prediction range according to preset equipment parameters.
Preferably, the computer apparatus further comprises:
a display for displaying the first risk range, the second risk range, the third risk range and the fourth risk range via a table and/or a topological graph.
Preferably, the processor is further specifically configured to implement the following steps when executing the computer program:
and respectively determining the risk levels and the risk types of the first risk range, the second risk range, the third risk range and the fourth risk range.
Preferably, the processor is specifically configured to implement the following steps when executing the computer program:
and differentiating and displaying the risk grades and the risk types of the first risk range, the second risk range, the third risk range and the fourth risk range through the display.
Correspondingly, the invention discloses a power grid risk analysis method, which is applied to the computer device applied to the power grid risk analysis, and comprises the following steps:
respectively acquiring second maintenance lists of the power primary side and the communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
according to a physical-information flow coupling calculation method, a third risk range of the communication side corresponding to the first risk range is obtained, and a fourth risk range of the primary side of the power corresponding to the second risk range is obtained;
and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
Correspondingly, the invention also discloses a power grid risk analysis system, which comprises:
the information acquisition module is used for respectively acquiring a first maintenance list at the primary side of the power and a second maintenance list at the communication side;
the risk identification module is used for carrying out risk identification according to the first maintenance list to obtain a first risk range of the primary side of the power, and carrying out risk identification according to the second maintenance list to obtain a second risk range of the communication side;
the calculation module is used for acquiring a third risk range of the communication side corresponding to the first risk range and acquiring a fourth risk range of the primary side of the power corresponding to the second risk range by a physical-information flow coupling calculation method;
and the determining module is used for determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
Correspondingly, the invention also discloses a storage medium, wherein a computer program is stored on the storage medium, and when being executed by a processor, the computer program realizes the following steps:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary side of the power corresponding to the second risk range by a physical-information flow coupling calculation method;
and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
The invention discloses a computer device applied to power grid risk analysis, which comprises: a memory for storing a computer program; a processor for implementing the following steps when executing the computer program: respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side; performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side; acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary side of the power corresponding to the second risk range by a physical-information flow coupling calculation method; and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively. According to the method, the device on the other side which is affected when the device on one side of the power primary side and the communication side is in risk is determined through a physical-information flow coupling calculation method, and the devices on the two sides which need to be concerned in a risk range are comprehensively obtained without omission, so that the influence of maintenance on the power primary side and the communication side can be rapidly and accurately mastered.
Drawings
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 embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a structural distribution diagram of a computer device applied to grid risk analysis according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating steps of a power grid risk analysis method according to an embodiment of the present invention;
fig. 3 is a structural distribution diagram of a grid risk analysis system according to an 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.
Under the information physics integration background, the information communication system and the power network influence each other, make the electric wire netting bear the potential risk of the large tracts of land power failure accident that takes place multiple failure or interlocking trouble and arouse, receive the opposite side equipment that influences when certain side equipment appears the risk in the electric power once side and communication side through this application to can master the both sides equipment that need pay close attention to in the risk range comprehensively without omitting.
The embodiment of the invention discloses a computer device applied to power grid risk analysis, which is shown in a figure 1 and comprises the following components:
a memory 11 for storing a computer program;
a processor 12 for implementing the following steps when executing the computer program:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary side of the power corresponding to the second risk range by a physical-information flow coupling calculation method;
and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
The risk identification in this embodiment includes, but is not limited to: static safety analysis, wherein the scraping fault of the equipment n-1, the simultaneous fault of the parallel operation on the same tower and the like are mainly considered; transient stability, frequency stability, voltage stability, short-circuit current calculation and small interference stability; power and electricity balance, local power grid power supply capacity and the like.
Accordingly, the risk range includes the risk equipment and/or plant station that needs to pay attention when performing the maintenance task on the maintenance sheet, so as to ensure the personal safety of the staff performing the maintenance task, such as electric shock or falling objects, the equipment safety of the power grid system, the operation safety of the power grid system, such as short circuit or power overload of the line, the power utilization safety of the user, such as sudden power failure or insufficient power, and the environmental safety, such as oil leakage or fire.
In the specific risk identification, load flow calculation is carried out by using parameters, operation parameters and the like of each device in the power grid system to obtain operation parameters of each device and station in the power grid system corresponding to the maintenance list, whether the operation parameters exceed the prediction range is further judged, and if the operation parameters exceed the prediction range, the operation parameters are considered to belong to the risk range.
It can be understood that there is a corresponding relationship between the devices on the primary side of power and the devices on the communication side in the power grid system, and the devices on the primary side of power and the devices on the communication side affect each other, and one side of the devices changes and the other side of the devices changes accordingly, so that by using a physical-information flow coupling calculation method, when the risk range of one side is known, the risk range of the other side of the devices that affect each other can be determined, that is, the third risk range of the communication side corresponding to the first risk range of the primary side of power is determined according to the first risk range of the primary side of power, and the fourth risk range of the primary side of power corresponding to the second risk range of the communication side is determined according to the second risk range of the communication side.
Further, the computer apparatus may further include:
a display 13 for displaying the first risk range, the second risk range, the third risk range and the fourth risk range by a table and/or a topological diagram.
It will be appreciated that the risk range representation can take many forms, wherein the table can be well combined with the service list to indicate the parts needing attention in the service list for easy inspection during service, and the topological graph is generally combined with the structural topological graph of the whole power grid system to visually and comprehensively display the influence of the service task on the whole power grid system.
Further, the processor 12 is specifically configured to implement the following steps when executing the computer program:
and respectively determining the risk levels and the risk types of the first risk range, the second risk range, the third risk range and the fourth risk range.
It can be understood that the plant and/or the risk equipment corresponding to the risk range should correspond to different risk levels and risk types according to the risk identification result, the risk levels are mainly classified according to the size and severity of the influence range, and the risk types correspond to personal safety when the staff performs the overhaul task, equipment safety of the power grid system, operation safety of the power grid system, power utilization safety of the user, environmental safety and the like.
Correspondingly, the processor 12 is further specifically configured to implement the following steps when executing the computer program:
and differentiating and displaying the risk grades and the risk types of the first risk range, the second risk range, the third risk range and the fourth risk range through the display 13.
It will be appreciated that the display 13 displays the above risk ranges differently depending on the risk level and risk type of the processor 12 to more intuitively and quickly represent the differences between the risk devices and/or plant stations.
Therefore, according to the method, the device on the other side which is affected when the device on one side of the primary power side and the communication side is in risk is determined through a physical-information flow coupling calculation method, and the devices on the two sides which need to be concerned in the risk range are comprehensively obtained without omission, so that the influence of maintenance on the primary power side and the communication side can be rapidly and accurately mastered.
The embodiment of the invention discloses a computer device specifically applied to power grid risk analysis, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Specifically, the method comprises the following steps:
the first risk range, the second risk range, the third risk range, and the fourth risk range each include risk devices and/or stations.
Specifically, the processor 12 is configured to implement the following steps when executing the computer program:
and acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side.
It can be understood that the devices on the power primary side and the communication side do not have a one-to-one correspondence relationship, the devices in the power grid have a certain influence range, and the influence of one device on other devices has strong and weak correlation, so when the physical-information flow coupling calculation method is used, the problem of the device correlation needs to be considered.
Further, the processor 12 is specifically configured to implement the following steps when executing the computer program:
acquiring a first prediction range of the communication side corresponding to the first risk range and a second prediction range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side;
and determining the third risk range from the first prediction range and determining the fourth risk range from the second prediction range according to preset equipment parameters.
It can be understood that, although the first prediction range and the first risk range, and the second prediction range and the second risk range have related corresponding relationships, the prediction range on the other side corresponding to the risk range confirmed according to the service order does not necessarily have a larger service risk due to the influence of the risk on the opposite side, for example, the first risk range on the primary side of the power may have a certain risk change, which may cause a change in the equipment or plant station within the first prediction range, but does not necessarily exceed the normal range value obtained according to the preset parameter of the equipment, and if the first risk range value exceeds the normal range value, it is confirmed that the equipment belongs to the third risk range.
Therefore, the process of determining the prediction range and then determining the risk range can reduce the overhaul workload and reduce the workload.
Correspondingly, the present invention discloses a power grid risk analysis method, which is applied to the computer device applied to the power grid risk analysis, and as shown in fig. 2, the method includes:
s1: respectively acquiring second maintenance lists of the power primary side and the communication side;
s2: performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
s3: according to a physical-information flow coupling calculation method, a third risk range of the communication side corresponding to the first risk range is obtained, and a fourth risk range of the primary side of the power corresponding to the second risk range is obtained;
s4: and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
Therefore, according to the method, the device on the other side which is affected when the device on one side of the primary power side and the communication side is in risk is determined through a physical-information flow coupling calculation method, and the devices on the two sides which need to be concerned in the risk range are comprehensively obtained without omission, so that the influence of maintenance on the primary power side and the communication side can be rapidly and accurately mastered.
Correspondingly, the present invention also discloses a power grid risk analysis system, as shown in fig. 3, including:
the information acquisition module 21 is configured to acquire a first maintenance order on the primary side of the power and a second maintenance order on the communication side, respectively;
a risk identification module 22, configured to perform risk identification according to the first repair order to obtain a first risk range of the primary side of the power, and perform risk identification according to the second repair order to obtain a second risk range of the communication side;
a calculation module 23, configured to obtain, by a physical-information flow coupling calculation method, a third risk range on the communication side corresponding to the first risk range, and obtain a fourth risk range on the primary side of the power corresponding to the second risk range;
a determining module 24, configured to determine services corresponding to the first risk range, the second risk range, the third risk range, and the fourth risk range respectively.
Therefore, according to the method, the device on the other side which is affected when the device on one side of the primary power side and the communication side is in risk is determined through a physical-information flow coupling calculation method, and the devices on the two sides which need to be concerned in the risk range are comprehensively obtained without omission, so that the influence of maintenance on the primary power side and the communication side can be rapidly and accurately mastered.
Correspondingly, the invention also discloses a storage medium, wherein a computer program is stored on the storage medium, and when being executed by a processor, the computer program realizes the following steps:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary side of the power corresponding to the second risk range by a physical-information flow coupling calculation method;
and determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively.
Therefore, according to the method, the device on the other side which is affected when the device on one side of the primary power side and the communication side is in risk is determined through a physical-information flow coupling calculation method, and the devices on the two sides which need to be concerned in the risk range are comprehensively obtained without omission, so that the influence of maintenance on the primary power side and the communication side can be rapidly and accurately mastered.
Finally, it should also be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The power grid risk analysis method, system, computer device and storage medium provided by the present invention are introduced in detail, and a specific example is applied in the present document to explain the principle and implementation of the present invention, and the description of the above embodiment is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (7)

1. A computer device for grid risk analysis, comprising:
a memory for storing a computer program;
a processor for implementing the following steps when executing the computer program:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
according to the device correlation between the primary power side and the communication side, acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method, specifically including: acquiring a first prediction range of the communication side corresponding to the first risk range and a second prediction range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side; determining the third risk range from the first prediction range and determining the fourth risk range from the second prediction range according to preset equipment parameters; determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively;
the first risk range, the second risk range, the third risk range, and the fourth risk range each include risk devices and/or stations.
2. The computer device of claim 1, further comprising:
a display for displaying the first risk range, the second risk range, the third risk range and the fourth risk range via a table and/or a topological graph.
3. The computer arrangement according to claim 2, wherein the processor is further configured to carry out the following steps when the computer program is executed:
and respectively determining the risk levels and the risk types of the first risk range, the second risk range, the third risk range and the fourth risk range.
4. The computer arrangement according to claim 3, wherein the processor is specifically adapted to carry out the following steps when executing the computer program:
and differentiating and displaying the risk grades and the risk types of the first risk range, the second risk range, the third risk range and the fourth risk range through the display.
5. A power grid risk analysis method applied to the computer device applied to the power grid risk analysis according to any one of claims 1 to 4, comprising the following steps of:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
according to the device correlation between the primary power side and the communication side, acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method, specifically including: acquiring a first prediction range of the communication side corresponding to the first risk range and a second prediction range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side; determining the third risk range from the first prediction range and determining the fourth risk range from the second prediction range according to preset equipment parameters;
determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively;
the first risk range, the second risk range, the third risk range, and the fourth risk range each include risk devices and/or stations.
6. A grid risk analysis system, comprising:
the information acquisition module is used for respectively acquiring a first maintenance list at the primary side of the power and a second maintenance list at the communication side;
the risk identification module is used for carrying out risk identification according to the first maintenance list to obtain a first risk range of the primary side of the power, and carrying out risk identification according to the second maintenance list to obtain a second risk range of the communication side;
a calculation module, configured to obtain, according to a device correlation between the primary power side and the communication side, a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method;
the calculation module is specifically configured to obtain, according to the device correlation between the primary power side and the communication side, a first prediction range of the communication side corresponding to the first risk range by a physical-information flow coupling calculation method, and obtain a second prediction range of the primary power side corresponding to the second risk range; determining the third risk range from the first prediction range and determining the fourth risk range from the second prediction range according to preset equipment parameters;
a determining module, configured to determine services corresponding to the first risk range, the second risk range, the third risk range, and the fourth risk range respectively; wherein the first risk range, the second risk range, the third risk range, and the fourth risk range each include risk devices and/or stations.
7. A storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
respectively acquiring a first maintenance list at a primary side of power and a second maintenance list at a communication side;
performing risk identification according to the first maintenance order to obtain a first risk range of the primary side of the power, and performing risk identification according to the second maintenance order to obtain a second risk range of the communication side;
according to the device correlation between the primary power side and the communication side, acquiring a third risk range of the communication side corresponding to the first risk range and a fourth risk range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method, specifically including: acquiring a first prediction range of the communication side corresponding to the first risk range and a second prediction range of the primary power side corresponding to the second risk range by a physical-information flow coupling calculation method according to the device correlation between the primary power side and the communication side; determining the third risk range from the first prediction range and determining the fourth risk range from the second prediction range according to preset equipment parameters; determining services corresponding to the first risk range, the second risk range, the third risk range and the fourth risk range respectively;
the first risk range, the second risk range, the third risk range, and the fourth risk range each include risk devices and/or stations.
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