CN116843294A - Operation ticket error-proof verification method and system based on topology analysis and physical modeling - Google Patents
Operation ticket error-proof verification method and system based on topology analysis and physical modeling Download PDFInfo
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Abstract
The invention discloses an operation ticket error-proof verification method and system based on topology analysis and physical modeling, wherein physical characteristics of power grid equipment are analyzed, and a physical characteristic model is constructed according to the result of the physical characteristic analysis; dividing a power grid topological relation diagram into different areas according to physical characteristics of a physical characteristic model and equipment states of the physical characteristics model, and analyzing the different areas and relations among the areas; and mapping and correlating the operation step model and the region model by taking the power grid equipment as nodes, and checking the correctness and rationality of the operation behaviors of the power grid equipment in the region model through the operation index of the power grid equipment. The problem of current operation ticket prevent mistake check-up efficiency, correctness and rationality lower is solved.
Description
Technical Field
The invention relates to the technical field of operation ticket error prevention, in particular to an operation ticket error prevention method and system based on topology analysis and physical modeling.
Background
The operation ticket is written basis for electric operation in the electric power system, and is a main measure for preventing misoperation (false pull, false switch, on-load pull, switch-on and switch-off isolating switch, on-load switch-on and switch-off with ground wire and the like). All normal switching operations performed by the operator on duty are performed after the switching operation ticket is filled in according to operation items (including system operation and comprehensive operation orders) issued by the operator on duty, and then the steps of auditing, previewing, signing and the like are performed. If the information filled in the operation ticket is missed, misoperation may occur in the process of executing the operation ticket by staff, and serious harm is brought to the power system. Because it is important to check the correctness and rationality of the ticket.
The traditional operation ticket checking method mainly relies on experience and manual checking, and is low in efficiency and easy to make mistakes. The present operation ticket management system usually gives out the checking and judging result and the error improvement opinion of the dispatching operation ticket by considering the matching relation in the formulated comparison rule base when the operation ticket checking method is carried out. And taking the manual auditing logic as a logic judgment boundary to improve the safety and the working efficiency of auditing the power grid dispatching operation ticket. However, the existing operation ticket management system only performs mechanical judgment according to manual auditing logic, and does not combine the environment where each device is located and the connection structure thereof for analysis, so that the rationality of the analysis result is needed to be improved.
Disclosure of Invention
Aiming at the problems of the background technology, the invention aims to provide the operation ticket error-proof checking method based on topology analysis and physical modeling, which solves the problems of low error-proof checking efficiency, low correctness and low rationality of the existing operation ticket.
The invention is realized by the following technical scheme:
the first aspect of the invention provides an operation ticket error-proof verification method based on topology analysis and physical modeling, comprising
S1, acquiring equipment information of power grid equipment, performing physical feature analysis on the equipment information, and constructing a physical feature model according to a result of the physical feature analysis;
s2, constructing a power grid topological relation diagram of the physical feature model by adopting a diagram database, traversing the power grid topological relation diagram, and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical feature model;
s3, constructing an operation step model, and respectively associating the operation step model with four areas in the power grid topological relation diagram by taking power grid equipment as connection points to form an operation ticket error-proof verification model;
and S4, extracting operation information of the operation ticket based on semantic analysis, and inputting the operation information into the operation ticket error-proof verification model for verification to obtain an error-proof verification result.
In the technical scheme, the physical characteristics of the power grid equipment are taken into consideration when the physical characteristic model is constructed, the physical characteristic model is constructed according to the result of the physical characteristic analysis by analyzing the physical characteristics of the power grid equipment, and compared with the simulation model in the prior art, the model has the physical characteristics, so that the type and the state of equipment nodes are considered when operation analysis is performed, and the influence of the physical characteristics of the power grid equipment on the operation and the sequence thereof is considered.
In the process of modeling the power grid topological relation diagram by adopting the diagram database, the diagram database can well embody the entity relation among the power grid equipment, the physical characteristics and the operation attribute of the power grid equipment. Dividing a power grid topological relation diagram into different areas according to physical characteristics of a physical characteristic model and equipment states of the physical characteristics, analyzing the different areas and relations among the areas, and improving accuracy and rationality of misoperation prevention.
And verifying the operation information of the operation ticket by constructing an operation ticket error-proof verification model, wherein the operation ticket error-proof verification model is divided into two parts, the first part is an operation step model, the second part is an area model of power grid equipment, the operation step model and the area model are mapped and associated by taking the power grid equipment as nodes, and the correctness and rationality of the operation behavior of the power grid equipment in the area model are verified through the operation index of the power grid equipment. The problem of current operation ticket prevent mistake check-up efficiency, correctness and rationality lower is solved.
In a possible embodiment, traversing the power grid topological relation diagram, and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical feature model comprises:
traversing the power grid topological relation diagram;
dividing the traversal region into electrified regions when power grid equipment is generated in the traversal region;
when the equipment state of the physical characteristic model in the traversal area is that alternating current is cut off or neutral point power grid equipment exists in the traversal area, dividing the traversal area into alternating current areas;
when the equipment state of the physical feature model in the traversal area is zero sequence current cut-off and neutral point power grid equipment exists in the traversal area, dividing the traversal area into zero sequence protection areas;
when the device state of the physical feature model in the traversal region is interval generation, dividing the traversal region into interval regions.
In one possible embodiment, constructing the misoperation model includes:
acquiring an anti-misoperation judging rule, and setting operation check and associated node check for power grid equipment in the anti-misoperation judging rule;
and carrying out rationality analysis on the operation check and the associated node check to obtain an anti-misoperation step, and constructing an operation step model according to the anti-misoperation step.
In one possible embodiment, performing a rationality analysis on the operation check and the associated node check includes:
acquiring an area where the power grid equipment is located, traversing the power grid equipment in the area, and if the operation states of the power grid equipment in the area are not consistent, adjusting the operation states; and if the operation states of the power grid equipment in the region are consistent, performing operation sequence adjustment.
In one possible embodiment, the operating state adjusts:
acquiring a system operation command and a comprehensive operation command;
and determining the instruction operation state of the power grid equipment according to the system operation command and the comprehensive operation command, adjusting the operation state of the power grid equipment which is not consistent with the instruction operation state in the area, and adjusting the operation sequence after adjustment.
In one possible embodiment, the operational sequence adjustment includes:
step A, ordering the power grid equipment in the area according to the order of the misoperation prevention judgment rule to obtain an initial operation order;
step B, performing circuit simulation according to the initial operation sequence, and calculating circuit loss of the circuit;
and C, if the circuit loss is larger than or equal to a circuit loss threshold value, adjusting the operation sequence of the power grid equipment in the area, and repeating the step B and the step C until the circuit loss is smaller than the circuit loss threshold value.
A second aspect of the present invention provides an operation ticket anti-error checking system based on topology analysis and physical modeling, comprising:
the physical characteristic module is used for acquiring equipment information of the power grid equipment, carrying out physical characteristic analysis on the equipment information and constructing a physical characteristic model according to the result of the physical characteristic analysis;
the topology module is used for traversing the power grid topological relation diagram and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical characteristic model;
the misoperation module is used for constructing an operation step model, and the operation step model is associated with the power grid topological relation diagram by taking power grid equipment as a node to form an operation ticket error-proof verification model;
and the verification module is used for extracting the operation information of the operation ticket based on semantic analysis, inputting the operation information into the operation ticket anti-misoperation verification model for verification, and obtaining an anti-misoperation verification result.
In one possible embodiment, the topology module comprises:
the charging area unit is used for dividing the traversal area into charging areas when power grid equipment is generated in the traversal area;
the alternating current area unit is used for dividing the traversed area into alternating current areas when the equipment state of the physical feature model in the traversed area is alternating current cutting-off or neutral point power grid equipment exists in the traversed area;
the zero sequence protection unit is used for dividing the traversed area into zero sequence protection areas when the equipment state of the physical feature model in the traversed area is zero sequence current cutting and neutral point power grid equipment exists in the traversed area;
and the interval region unit is used for dividing the traversal region into interval regions when the equipment state of the physical feature model in the traversal region is interval generation.
In one possible embodiment, the misoperation module includes:
the checking unit is used for acquiring an anti-misoperation judging rule, and setting operation checking and associated node checking for power grid equipment in the anti-misoperation judging rule;
and the rationality analysis unit is used for rationality analysis of the operation inspection and the associated node inspection to obtain an anti-misoperation step, and constructing an operation step model according to the anti-misoperation step.
In a possible embodiment, the rationality analysis unit comprises:
the state adjusting component is used for acquiring an area where the power grid equipment is located, traversing the power grid equipment in the area, and adjusting the operation state if the operation states of the power grid equipment in the area are not consistent;
the sequence adjusting component is used for acquiring the region where the power grid equipment is located, traversing the power grid equipment in the region, and adjusting the operation sequence if the operation states of the power grid equipment in the region are consistent.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. when the physical characteristic model is constructed, the physical characteristics of the power grid equipment are taken into consideration, the physical characteristics of the power grid equipment are analyzed, and a physical characteristic model is constructed according to the result of the physical characteristic analysis, and compared with a simulation model in the prior art, the model has physical characteristics, so that the type and the state of equipment nodes are considered when operation analysis is performed, and the influence of the physical characteristics of the power grid equipment on the operation and the sequence thereof is considered;
2. in the process of modeling the power grid topological relation diagram by adopting the diagram database, the diagram database can well embody the entity relation among the power grid equipment, the physical characteristics and the operation attribute of the power grid equipment. Dividing a power grid topological relation diagram into different areas according to physical characteristics of a physical characteristic model and equipment states thereof, analyzing the different areas and relations among the areas, and improving the correctness and rationality of misoperation prevention;
3. and verifying the operation information of the operation ticket by constructing an operation ticket anti-misoperation verification model, mapping and associating the operation step model and the region model by taking the power grid equipment as nodes, and verifying the correctness and rationality of the operation behavior of the power grid equipment in the region model by using the operation index of the power grid equipment.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are needed in the examples will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and that other related drawings may be obtained from these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a schematic flow chart of an operation ticket error proofing method based on topology analysis and physical modeling provided in embodiment 1 of the present invention;
fig. 2 is a schematic diagram of an operation state of PT power grid equipment provided in embodiment 1 of the present invention;
fig. 3 is a topological relation diagram of a power grid provided in embodiment 1 of the present invention;
fig. 4 is a schematic structural diagram of an operation ticket error proofing system based on topology analysis and physical modeling according to embodiment 2 of the present invention.
Detailed Description
For the purpose of making apparent the objects, technical solutions and advantages of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, wherein the exemplary embodiments of the present invention and the descriptions thereof are for illustrating the present invention only and are not to be construed as limiting the present invention.
Example 1
Fig. 1 is a flow chart of an operation ticket error proofing method based on topology analysis and physical modeling according to embodiment 1 of the present invention, as shown in fig. 1, the operation ticket error proofing method based on topology analysis and physical modeling includes the following steps:
s1, acquiring equipment information of power grid equipment, performing physical feature analysis on the equipment information, and constructing a physical feature model according to a result of the physical feature analysis.
It should be noted that in the prior art, device information including a device number, a device name, a device type and a device electrical parameter of a substation is generally obtained, and simulation modeling is directly performed through the device information. This approach ignores the physical characteristics of the grid device itself, such as: live state, need to perform power failure detection, etc., which may have errors and unreasonable operations due to ignoring physical characteristics during subsequent operation analysis. Therefore, the physical characteristics of the power grid equipment are taken into consideration when the physical characteristic model is constructed, the physical characteristic model is constructed according to the result of the physical characteristic analysis by analyzing the physical characteristics of the power grid equipment, and compared with the simulation model in the prior art, the model has the physical characteristics, so that the type and the state of equipment nodes are considered when operation analysis is performed, and the influence of the physical characteristics of the power grid equipment on the operation and the sequence thereof is considered.
The power grid equipment comprises PT, a Z-shaped transformer, a triangular winding, a capacitor, a reactance, a disconnecting link, a single-ended line, a generator, a transformer and the like, equipment information of the power grid equipment comprises equipment numbers, equipment names, equipment types, equipment electrical data, equipment operation data and the like, physical characteristics of specific power grid equipment can be obtained according to physical characteristic analysis of the equipment information of the power grid equipment, and a power grid equipment physical characteristic table is provided in table 1, wherein the following table 1 shows:
table 1 physical characteristics table of the network device
It can be seen from the above table that different power network devices have different physical characteristics, which have different impact on different types of misoperation in the operation ticket anti-misoperation verification. Specifically, the method can generate physical characteristics of a power supply, a zero sequence branch grounding point, a ground wire, an interval, an electromagnetic field, a neutral point, a capacitor and the like according to the type of equipment, and record operation states of a charged state, a cut-off state, arc extinction checking, loop closing analysis, PT power on/off detection, load power on/off detection, line detection and the like in a library. By identifying the error-preventing characteristics, the method can judge the misoperation risks such as state, ground wire loss interval, load power on/off, PT power on/off, line power on/off, neutral point ground wire power on/off, parallel/disconnection of generators, electrified switch on/off, switch on/off loop, reverse charging of a transformer, ungrounded neutral point of a high-voltage winding and the like.
Therefore, in the invention, different physical characteristics of different power grid equipment are analyzed, and a physical characteristic model is constructed according to the analysis result.
Specifically, the process of constructing the physical characteristic model includes dividing the physical characteristic model into two operation states according to the physical characteristic of the power grid equipment, and respectively performing state coding on the two operation states, and table 2 provides a part of operation state tables of the power grid equipment, as shown in the following table 2:
table 2 grid plant operating status table
As can be seen from the table, since different devices have different physical characteristics, the operating states and the codes thereof are also different, fig. 2 is a schematic diagram of the operating states of the PT power grid device provided in embodiment 1 of the present invention, as shown in fig. 2, the PT power grid device has three physical characteristics including a charging state (B1), a charging state warehouse entry (B2) and a power loss detection (B3), and the operating states corresponding to the three physical characteristics are respectively no-charging, warehouse-out and power loss, and the codes thereof are 011.
And S2, constructing a power grid topological relation diagram of the physical feature model by adopting a diagram database, traversing the power grid topological relation diagram, and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical feature model.
Fig. 3 is a power grid topological relation diagram provided in embodiment 1 of the present invention, and as shown in fig. 3, the power grid topological relation diagram is constructed according to the connection relation between the power grid devices and the topological structure thereof, and is stored by adopting a diagram database. In the process of modeling the power grid topological relation diagram by adopting the diagram database, the diagram database can well embody the entity relation among the power grid equipment, the physical characteristics and the operation attribute of the power grid equipment. The map data in the present invention may employ neo4j map databases in the prior art.
It should be noted that, when different power grid devices are in different power grid environments, the physical characteristics thereof have different influences on the error proofing in the power grid environments, and the obtained electric operations and the sequence thereof are also different. Therefore, in the invention, the power grid topological relation diagram is divided into different areas according to the physical characteristics of the physical characteristic model and the equipment state thereof, and analysis is carried out on the different areas and the relation among the areas, thereby improving the correctness and rationality of misoperation prevention.
Specifically, traversing the power grid topological relation diagram, dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical feature model comprises:
traversing the power grid topological relation diagram:
dividing the traversal region into electrified regions when power grid equipment is generated in the traversal region;
when the equipment state of the physical characteristic model in the traversal area is that alternating current is cut off or neutral point power grid equipment exists in the traversal area, dividing the traversal area into alternating current areas;
when the equipment state of the physical feature model in the traversal area is zero sequence current cut-off and neutral point power grid equipment exists in the traversal area, dividing the traversal area into zero sequence protection areas;
when the device state of the physical feature model in the traversal region is interval generation, dividing the traversal region into interval regions.
And S3, constructing an operation step model, and associating the operation step model with the power grid topological relation diagram by taking power grid equipment as a node to form an operation ticket error-proof verification model.
It is emphasized that there is a sequence of operations from zone to zone, whereas within each zone there is a sequence of operations from grid device to grid device, i.e. within each zone the grid devices within a zone can be regarded as one continuous process. In the process of operating the power grid equipment, since the power grid equipment exists in a certain topological structure, the action of each power grid equipment can have a certain influence on the power grid equipment directly related to the power grid equipment. Therefore, in the invention, the operation ticket error-proof model is constructed, wherein the operation ticket error-proof model is divided into two parts, the first part is an operation step model, the second part is an area model of the power grid equipment, the operation step model and the area model are mapped and associated by taking the power grid equipment as nodes, and the correctness and rationality of the operation behavior of the power grid equipment in the area model are checked through the operation index of the power grid equipment.
Specifically, the construction of the operation step model includes:
acquiring an anti-misoperation judging rule, and setting operation check and associated node check for power grid equipment in the anti-misoperation judging rule.
Specifically, the operation inspection is to inspect the operation state of the power grid equipment; and the associated node inspection is to inspect the operation state of the power grid equipment directly connected with the power grid equipment, and the operation state of the power grid equipment directly connected with the power grid equipment is required to accord with the operation of the same power system. For example, when the shutdown is performed, the operation state of the PT should be neutral if the operation state of the directly connected power grid device is neutral, and if the operation state of the PT is neutral and the operation state of the directly connected power grid device is neutral, the operation is a malfunction.
And carrying out rationality analysis on the operation check and the associated node check to obtain an anti-misoperation step, and constructing an operation step model according to the anti-misoperation step.
Wherein performing a rationality analysis on the operation check and the associated node check comprises:
acquiring an area where the power grid equipment is located, traversing the power grid equipment in the area, and if the operation states of the power grid equipment in the area are not consistent, adjusting the operation states; and if the operation states of the power grid equipment in the region are consistent, performing operation sequence adjustment.
Further, the operating state adjustment includes:
acquiring system operation orders and comprehensive operation orders.
And determining the instruction operation state of the power grid equipment according to the system operation command and the comprehensive operation command, adjusting the operation state of the power grid equipment which is not consistent with the instruction operation state in the area, and adjusting the operation sequence after adjustment.
Further, the operation sequence adjustment includes:
and step A, ordering the power grid equipment in the area according to the order of the misoperation prevention judgment rule, and obtaining an initial operation order.
And B, performing circuit simulation according to the initial operation sequence, and calculating the circuit loss of the circuit.
The circuit loss is too high, so that related equipment in the process of the sequential control switching operation of the transformer substation is failed, and the circuit loss needs to be taken into consideration when the operation sequence is adjusted.
And C, if the circuit loss is larger than or equal to a circuit loss threshold value, adjusting the operation sequence of the power grid equipment in the area, and repeating the step B and the step C until the circuit loss is smaller than the circuit loss threshold value.
It is emphasized that the operation step model constructed according to the above steps adds the inspection of the operation state of the power grid equipment and the inspection of the node state associated with the power grid equipment on the basis of the existing anti-misoperation judging rule. By checking the two, the operation of the power grid equipment in the environment where the power grid equipment is positioned is ensured to be correct, and misoperation is avoided. Further, since the operation of the grid device is not always true, when it is in the live, ac, zero sequence protection and bay areas, respectively, its operation may be correct but its order of operation may be unreasonable. Therefore, the operation and the sequence of the power grid equipment are determined by carrying out rationality analysis on the operation inspection and the associated node inspection, so that the rationality of the misoperation prevention inspection is improved.
It should be noted that, the operation step model and the region model are both built by taking the power grid equipment as a core, and the correlation between the two is the power grid equipment, so in the invention, the operation step model and the region model are correlated by taking the power grid equipment as a node, and are correlated in a mapping mode. The physical characteristics and the structural characteristics of the power grid equipment are reflected, and the operation verification characteristics of the power grid equipment are also reflected.
And S4, extracting operation information of an operation ticket based on a power grid system dispatching model, and inputting the operation information into the operation ticket anti-misoperation verification model for verification to obtain an anti-misoperation verification result.
The power grid system dispatching model is a power knowledge extraction model constructed through GRU and PCNN, and power grid equipment and the operation sequence of the power grid equipment required in the operation ticket can be extracted through the power grid system dispatching model.
After the power grid equipment required in the operation ticket is extracted, a physical characteristic model is built for the power grid equipment in the operation ticket according to the step S1, and then a power grid topological relation diagram is built according to the step S2 and divided into a live area, an alternating current area, a zero sequence protection area and an interval area.
After the operation sequence of the power grid equipment required in the operation ticket is extracted, traversing each power grid equipment in the operation sequence, performing operation inspection, associated node inspection and rationality analysis on the power grid equipment to obtain unreasonable parts of the operation of the power grid equipment and the operation sequence in the operation ticket, and performing early warning.
Example 2
Fig. 4 is a schematic structural diagram of an operation ticket anti-error checking system based on topology analysis and physical modeling according to embodiment 2 of the present invention, and as shown in fig. 4, the operation ticket anti-error checking system based on topology analysis and physical modeling includes:
the physical characteristic module is used for acquiring equipment information of the power grid equipment, carrying out physical characteristic analysis on the equipment information and constructing a physical characteristic model according to the result of the physical characteristic analysis;
the topology module is used for traversing the power grid topological relation diagram and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical characteristic model;
the misoperation module is used for constructing an operation step model, and the operation step model is associated with the power grid topological relation diagram by taking power grid equipment as a node to form an operation ticket error-proof verification model;
and the verification module is used for extracting the operation information of the operation ticket based on semantic analysis, inputting the operation information into the operation ticket anti-misoperation verification model for verification, and obtaining an anti-misoperation verification result.
In one possible embodiment, the topology module comprises:
the charging area unit is used for dividing the traversal area into charging areas when power grid equipment is generated in the traversal area;
the alternating current area unit is used for dividing the traversed area into alternating current areas when the equipment state of the physical feature model in the traversed area is alternating current cutting-off or neutral point power grid equipment exists in the traversed area;
the zero sequence protection unit is used for dividing the traversed area into zero sequence protection areas when the equipment state of the physical feature model in the traversed area is zero sequence current cutting and neutral point power grid equipment exists in the traversed area;
and the interval region unit is used for dividing the traversal region into interval regions when the equipment state of the physical feature model in the traversal region is interval generation.
In one possible embodiment, the misoperation module includes:
the checking unit is used for acquiring an anti-misoperation judging rule, and setting operation checking and associated node checking for power grid equipment in the anti-misoperation judging rule;
and the rationality analysis unit is used for rationality analysis of the operation inspection and the associated node inspection to obtain an anti-misoperation step, and constructing an operation step model according to the anti-misoperation step.
In a possible embodiment, the rationality analysis unit comprises:
the state adjusting component is used for acquiring an area where the power grid equipment is located, traversing the power grid equipment in the area, and adjusting the operation state if the operation states of the power grid equipment in the area are not consistent;
the sequence adjusting component is used for acquiring the region where the power grid equipment is located, traversing the power grid equipment in the region, and adjusting the operation sequence if the operation states of the power grid equipment in the region are consistent.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The operation ticket error-proof verification method based on topology analysis and physical modeling is characterized by comprising the following steps:
s1, acquiring equipment information of power grid equipment, performing physical feature analysis on the equipment information, and constructing a physical feature model according to a result of the physical feature analysis;
s2, constructing a power grid topological relation diagram of the physical feature model by adopting a diagram database, traversing the power grid topological relation diagram, and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical feature model;
s3, constructing an operation step model, and respectively associating the operation step model with four areas in the power grid topological relation diagram by taking power grid equipment as connection points to form an operation ticket error-proof verification model;
and S4, extracting operation information of the operation ticket based on semantic analysis, and inputting the operation information into the operation ticket error-proof verification model for verification to obtain an error-proof verification result.
2. The method for preventing misoperation of operation ticket based on topology analysis and physical modeling according to claim 1, wherein traversing the power grid topological relation diagram and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical feature model comprises:
traversing the power grid topological relation diagram:
dividing the traversal region into electrified regions when power grid equipment is generated in the traversal region;
when the equipment state of the physical characteristic model in the traversal area is that alternating current is cut off or neutral point power grid equipment exists in the traversal area, dividing the traversal area into alternating current areas;
when the equipment state of the physical feature model in the traversal area is zero sequence current cut-off and neutral point power grid equipment exists in the traversal area, dividing the traversal area into zero sequence protection areas;
when the device state of the physical feature model in the traversal region is interval generation, dividing the traversal region into interval regions.
3. The operation ticket error proofing method based on topology analysis and physical modeling according to claim 1, wherein constructing the error operation model comprises:
acquiring an anti-misoperation judging rule, and setting operation check and associated node check for power grid equipment in the anti-misoperation judging rule;
and carrying out rationality analysis on the operation check and the associated node check to obtain an anti-misoperation step, and constructing an operation step model according to the anti-misoperation step.
4. The topology analysis and physical modeling based operation ticket anti-misverification method of claim 3, wherein performing a rationality analysis on the operation check and the associated node check comprises:
acquiring an area where the power grid equipment is located, traversing the power grid equipment in the area, and if the operation states of the power grid equipment in the area are not consistent, adjusting the operation states; and if the operation states of the power grid equipment in the region are consistent, performing operation sequence adjustment.
5. The topology analysis and physical modeling based operation ticket anti-misoperation verification method according to claim 4, characterized in that the operation state is adjusted:
acquiring a system operation command and a comprehensive operation command;
and determining the instruction operation state of the power grid equipment according to the system operation command and the comprehensive operation command, adjusting the operation state of the power grid equipment which is not consistent with the instruction operation state in the area, and adjusting the operation sequence after adjustment.
6. The topology analysis and physical modeling based operation ticket anti-misoperation verification method according to claim 5, characterized in that the operation sequence adjustment comprises:
step A, ordering the power grid equipment in the area according to the order of the misoperation prevention judgment rule to obtain an initial operation order;
step B, performing circuit simulation according to the initial operation sequence, and calculating circuit loss of the circuit;
and C, if the circuit loss is larger than or equal to a circuit loss threshold value, adjusting the operation sequence of the power grid equipment in the area, and repeating the step B and the step C until the circuit loss is smaller than the circuit loss threshold value.
7. The operation ticket error-proof verification system based on topology analysis and physical modeling is characterized by comprising:
the physical characteristic module is used for acquiring equipment information of the power grid equipment, carrying out physical characteristic analysis on the equipment information and constructing a physical characteristic model according to the result of the physical characteristic analysis;
the topology module is used for traversing the power grid topological relation diagram and dividing the power grid topological relation diagram into a live area, an alternating current area, a zero sequence protection area and an interval area according to the equipment state of the physical characteristic model;
the misoperation module is used for constructing an operation step model, and the operation step model is associated with the power grid topological relation diagram by taking power grid equipment as a node to form an operation ticket error-proof verification model;
and the verification module is used for extracting the operation information of the operation ticket based on semantic analysis, inputting the operation information into the operation ticket anti-misoperation verification model for verification, and obtaining an anti-misoperation verification result.
8. The ticket error proofing system based on topology analysis and physical modeling of claim 7, wherein the topology module comprises:
the charging area unit is used for dividing the traversal area into charging areas when power grid equipment is generated in the traversal area;
the alternating current area unit is used for dividing the traversed area into alternating current areas when the equipment state of the physical feature model in the traversed area is alternating current cutting-off or neutral point power grid equipment exists in the traversed area;
the zero sequence protection unit is used for dividing the traversed area into zero sequence protection areas when the equipment state of the physical feature model in the traversed area is zero sequence current cutting and neutral point power grid equipment exists in the traversed area;
and the interval region unit is used for dividing the traversal region into interval regions when the equipment state of the physical feature model in the traversal region is interval generation.
9. The topology analysis and physical modeling based operation ticket anti-misverification system of claim 7, wherein the misoperation module comprises:
the checking unit is used for acquiring an anti-misoperation judging rule, and setting operation checking and associated node checking for power grid equipment in the anti-misoperation judging rule;
and the rationality analysis unit is used for rationality analysis of the operation inspection and the associated node inspection to obtain an anti-misoperation step, and constructing an operation step model according to the anti-misoperation step.
10. The operation ticket anti-error checking system based on topology analysis and physical modeling according to claim 9, wherein the rationality analysis unit comprises:
the state adjusting component is used for acquiring an area where the power grid equipment is located, traversing the power grid equipment in the area, and adjusting the operation state if the operation states of the power grid equipment in the area are not consistent;
the sequence adjusting component is used for acquiring the region where the power grid equipment is located, traversing the power grid equipment in the region, and adjusting the operation sequence if the operation states of the power grid equipment in the region are consistent.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103761624A (en) * | 2014-01-28 | 2014-04-30 | 国网安徽省电力公司 | Implementing method of integrated power grid dispatching operation intelligent mistaken-early-warning preventing system |
| CN113708501A (en) * | 2021-09-14 | 2021-11-26 | 国网山东省电力公司鱼台县供电公司 | Method and system for improving scheduling operation ticket standard rate |
| CN114626827A (en) * | 2022-03-24 | 2022-06-14 | 国网江苏省电力有限公司淮安供电分公司 | Power distribution automation anti-misoperation method based on digital twinning |
| WO2023029388A1 (en) * | 2021-09-06 | 2023-03-09 | 广东电网有限责任公司湛江供电局 | Cim model-based auxiliary power distribution network planning method and system |
-
2023
- 2023-07-03 CN CN202310810485.XA patent/CN116843294A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103761624A (en) * | 2014-01-28 | 2014-04-30 | 国网安徽省电力公司 | Implementing method of integrated power grid dispatching operation intelligent mistaken-early-warning preventing system |
| WO2023029388A1 (en) * | 2021-09-06 | 2023-03-09 | 广东电网有限责任公司湛江供电局 | Cim model-based auxiliary power distribution network planning method and system |
| CN113708501A (en) * | 2021-09-14 | 2021-11-26 | 国网山东省电力公司鱼台县供电公司 | Method and system for improving scheduling operation ticket standard rate |
| CN114626827A (en) * | 2022-03-24 | 2022-06-14 | 国网江苏省电力有限公司淮安供电分公司 | Power distribution automation anti-misoperation method based on digital twinning |
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