CN113344280A - Power failure plan optimization model constraint construction method and device considering load transfer - Google Patents
Power failure plan optimization model constraint construction method and device considering load transfer Download PDFInfo
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Abstract
The invention relates to a power failure plan optimization model constraint construction method and device considering load transfer, which comprises the steps of obtaining basic data of power grid equipment, constructing a graph data model of power grid network information, and simplifying the graph data model to obtain a graph data simplified model; layering the graph data simplified model according to the voltage level; identifying a power supply feeder of a target layer transformer substation bus and a combination detail set of a bypass feeder of a transformer substation where the power supply feeder is located according to layered screening; acquiring a power failure line corresponding to the power failure plan according to the basic data, judging whether a load transfer line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer line is overloaded; and performing optimization iteration processing on the power failure plan model according to the power failure maintenance plan constraint. The method can improve the accuracy and rationality of the constraint construction of the power failure maintenance plan optimization model, so that the maintenance plan optimization result can be iteratively optimized, and the power grid operation requirements can be approached and met.
Description
Technical Field
The invention belongs to the technical field of power markets, and particularly relates to a power failure plan optimization model constraint construction method and device considering load transfer.
Background
The power failure maintenance planning is one of main services of a power grid dispatching operation department, and aims to reasonably arrange the power failure maintenance work of specific equipment in a proper time window under the actual dispatching operation condition of a power grid in the future period. In the actual arrangement process, based on the service experience of personnel and the consideration of the power grid dispatching operation requirement, the maintenance planning gradually faces the problems of complex consideration factors, huge data magnitude, insufficient rationality and accuracy and the like, so that an optimization model and algorithm for the power failure maintenance planning are generated.
The power failure maintenance optimization is a technical means for solving the difficulty of maintenance planning by utilizing an operation and planning optimization idea. A reasonable optimization objective function is established by setting a directional reasonable optimization objective, and then relevant optimization considerations, namely relevant boundary constraints for constructing an optimization model, are added on the basis of the objective function. The rationality and accuracy of the optimization result are derived from the effective construction of an objective function on one hand, and on the other hand, whether the optimization model constraint meets the scene of the actual power failure maintenance plan service is more important. In the actual power failure maintenance scheduling service, power grid scheduling personnel consider various factors in actual operation, such as safety conflicts and potential risks caused by the operation mode of a power grid among lines, human resource coordination of maintenance engineering teams, and power conservation windows of project construction periods and key periods. The factors can be reasonably arranged by establishing a corresponding optimization model and constraint conditions and by operational optimization.
The existing power failure plan optimization model technology usually establishes a fixed constraint, namely before executing a model and an algorithm, a fixed constraint set is formed by experience of power service personnel and an existing data form, and calculation is executed in the model. However, the actual future power failure maintenance plan often forms diversified power grid operation states and network structures, and for the changes of power grid network reconstruction and power balance power supply caused by different equipment maintenance plans, the model algorithm still cannot be completely and effectively known. Therefore, the power outage optimization constraint set with only universality does not completely have the advantages of real-time scene and refinement. In actual service, power grid personnel can further check and judge the operation condition of a power grid based on the time of a power failure plan, wherein the load power supply of a power supply feeder line of a transformer substation caused by equipment power failure is one of important concerns, and for the scene of line power overload caused by the load power supply, the existing power failure maintenance technology is not effectively provided in a construction method for optimizing model constraints. There are still drawbacks and deficiencies.
Disclosure of Invention
In view of this, the present invention provides a method and an apparatus for constructing a power outage plan optimization model constraint in consideration of load transfer, so as to solve the problem that the existing power outage overhaul technology does not consider line power overload in the method for constructing the optimization model constraint.
In order to achieve the purpose, the invention adopts the following technical scheme: a power failure plan optimization model constraint construction method considering load transfer includes:
acquiring basic data of the power grid equipment, constructing a graph data model of the power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model;
layering the graph data simplified model according to the voltage level;
identifying a power supply feeder of a target layer transformer substation bus and a combination detail set of a bypass feeder of a transformer substation where the power supply feeder is located according to layered screening;
acquiring a power failure line corresponding to a power failure plan according to the basic data, judging whether a load transfer line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer line is overloaded;
and performing optimization iteration processing on the power failure plan model according to the power failure maintenance plan constraint.
Further, the obtaining of the basic data of the power grid device, constructing a graph data model of the power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model includes:
acquiring element data, element connection relation data and real-time operation data of the power grid equipment;
obtaining effective element data and effective element connection relation data according to the implementation operation data, establishing vertex data according to the effective element data, and establishing edge data according to the effective element connection relation data;
establishing a graph data model according to the vertex data and the edge data;
and simplifying and combining a plurality of nodes on the same communication path in the graph data model into one node to obtain the graph data simplified model.
Further, the layering the graph data reduction model according to the voltage level includes:
layering the graph data simplified model according to the voltage level;
and forming a network hierarchy of 220kV and 110 kV.
Further, the identifying of the power supply feeder of the target-level substation bus and the combination detail set of the substation bypass feeder where the power supply feeder is located according to the hierarchical screening includes:
and screening and identifying edges of the graph data simplification model by adopting a graph algorithm to obtain a connecting path between each 220kV station node and each 110kV station node, and obtaining a combined detail set of a power supply feeder line of a 110kV substation bus and a substation bypass feeder line where the power supply feeder line is located.
Further, the basic data comprises power failure maintenance plan data; the power outage line corresponding to the power outage plan obtained according to the basic data comprises:
acquiring a power failure plan according to the power failure maintenance plan data;
and acquiring a corresponding power outage line according to the power outage plan.
Further, according to the blackout line and the combined detail set, the method for judging whether the load transfer line caused by blackout is overloaded includes:
judging whether a power failure line corresponding to a power failure plan is a power supply feeder line, if so, acquiring a bypass feeder line of a transformer substation where the power supply feeder line is located according to the combination detail set, and comparing the bus load capacity of the transformer substation with the load capacity of the bypass feeder line;
if the load capacity of the bypass feeder line is smaller than the load capacity of the bus, determining that the power transfer line is overloaded; otherwise, determining that the transfer line is not overloaded.
Further, the power failure maintenance plan is restricted to a power failure window period.
Further, a CIM/E file in the power grid dispatching operation system is obtained, and power grid equipment is obtained through the CIM/E file.
Further, the graph data model is of a tree structure.
The embodiment of the application provides a power failure plan optimization model constraint construction device considering load transfer, which comprises:
the acquisition module is used for acquiring basic data of the power grid equipment, constructing a graph data model of the power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model;
the layering module is used for layering the graph data simplified model according to the voltage level;
the identification module is used for identifying a power supply feeder line of a target layer transformer substation bus and a combination detail set of a bypass feeder line of a transformer substation where the power supply feeder line is located according to layered screening;
the judging module is used for acquiring a power failure line corresponding to a power failure plan according to the basic data, judging whether a load transfer and supply line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer and supply line is overloaded;
and the optimization module is used for carrying out optimization iterative processing on the power failure plan model according to the power failure maintenance plan constraint.
By adopting the technical scheme, the invention can achieve the following beneficial effects:
the invention provides a power failure plan optimization model constraint construction method and device considering load transfer, which are characterized in that a graph data topology analysis method is introduced, a graph algorithm is applied to the identification of a power grid structure for power failure maintenance, and the accuracy and the reasonability of the power failure maintenance plan optimization model constraint construction can be improved by combining the power supply and demand requirements under the load transfer scene, so that the maintenance plan optimization result can be iteratively optimized, and the power grid operation requirements can be approached and met.
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 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 schematic diagram illustrating the steps of a power outage plan optimization model constraint construction method considering load transfer;
fig. 2 is a schematic structural diagram of a power outage plan optimization model constraint construction device considering load transfer.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
A specific power outage plan optimization model constraint construction method and device considering load transfer provided in the embodiments of the present application are described below with reference to the accompanying drawings.
As shown in fig. 1, the method for constructing a power outage plan optimization model constraint considering load transfer provided in the embodiment of the present application includes:
s101, acquiring basic data of power grid equipment, constructing a graph data model of power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model;
s102, layering the graph data simplified model according to the voltage level;
s103, identifying a power supply feeder of a target layer substation bus and a combination detail set of a substation bypass feeder where the power supply feeder is located according to hierarchical screening;
s104, acquiring a power failure line corresponding to a power failure plan according to the basic data, judging whether a load transfer line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer line is overloaded;
and S105, performing optimization iteration processing on the power failure plan model according to the power failure maintenance plan constraint.
The working principle of the power failure plan optimization model constraint construction method considering load transfer is as follows: according to the method, basic data of power grid equipment are firstly obtained, a graph data model of power grid network information is constructed through effective data in the basic data, the graph data model is simplified to obtain a graph data simplified model, the graph data simplified model is layered according to different voltage levels of 220kV and 110kV to obtain a network layer, and a combination detail set of a power supply feeder line of a 110kV substation bus and a substation bypass feeder line where the power supply feeder line is located is screened and identified through a graph algorithm. And knowing the power failure maintenance plan according to the power failure maintenance plan data in the basic data, so that a power failure line can be known, judging whether a load transfer and supply line caused by power failure is overloaded or not by using the power failure line and the combined detail set, generating power failure maintenance plan constraint when the load transfer and supply line is overloaded, substituting the obtained power failure maintenance plan constraint condition into the power failure plan model, and carrying out iterative processing on the model to obtain an optimized power failure plan model. It is understood that the power outage planning model is an existing model, and the details of the application are not described herein.
In some embodiments, the obtaining of the basic data of the power grid device, constructing a graph data model of the power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model includes:
acquiring element data, element connection relation data and real-time operation data of the power grid equipment;
obtaining effective element data and effective element connection relation data according to the implementation operation data, establishing vertex data according to the effective element data, and establishing edge data according to the effective element connection relation data;
establishing a graph data model according to the vertex data and the edge data;
and simplifying and combining a plurality of nodes on the same communication path in the graph data model into one node to obtain the graph data simplified model.
Preferably, a CIM/E file in the power grid dispatching operation system is obtained, and the power grid equipment is obtained through the CIM/E file.
Specifically, the method includes the steps of firstly obtaining a CIM/E file in a power grid dispatching operation system, and obtaining power grid equipment element data, element connection relation data, power failure maintenance plan data, whole-grid and real-time operation data and the like from the CIM/E file.
The real-time operation data is provided with the switching states of the elements, so that all effectively connected elements in the region can be screened out according to the real-time operation data, and the incidence relation between the equipment switching elements and the elements is abstracted into a topological graph for description, thereby forming a power grid graph data model for describing the topological graph. The power system equipment such as a bus, a switch, a disconnecting link, a generator, a load, a line and the like is defined as a vertex, and a connecting line between the equipment is defined as an edge.
Before the topology identification of the graph data model, the formed graph data model needs to be simplified in order to reduce the calculation amount and improve the calculation efficiency. Redundant intermediate connectivity nodes and switch branches in the formed graph data model are identified, and the nodes are merged, namely a plurality of nodes on the same communication path are simplified and merged into one node to form the merged graph data simplified model, so that the number of the nodes and the branches is reduced. Finally, a graph data simplified model is formed.
In some embodiments, said layering said graph data reduction model according to voltage levels comprises:
layering the graph data simplified model according to the voltage level;
and forming a network hierarchy of 220kV and 110 kV.
Preferably, the graph data model is of a tree structure.
In particular, regional power grids typically operate in an open-loop manner. From a certain power supply point, each node supplied with power by the power supply point is a tree-shaped power supply structure taking the power supply point as a root in a topological structure, and the tree-shaped structure can be topologically decomposed into a plurality of tree-shaped radiation networks. In the graph data simplification model, a transformer substation with a high voltage level of more than 220kV, namely a power transmission line, often plays the roles of power transmission and power supply, and power transformation on a power supply side is distributed to 110kV and 35kV low-voltage level power grid equipment, so that selection of power supply points can be distinguished according to voltage levels, and a tree-shaped radiation network is expressed as a layered radiation tree network with different voltage levels.
In some embodiments, the identifying, according to the hierarchical screening, a combined detail set of a power supply feeder of a bus of a target-level substation and a bypass feeder of a substation in which the power supply feeder is located includes:
and screening and identifying edges of the graph data simplification model by adopting a graph algorithm to obtain a connecting path between each 220kV station node and each 110kV station node, and obtaining a combined detail set of a power supply feeder line of a 110kV substation bus and a substation bypass feeder line where the power supply feeder line is located.
The network layering of 220kV and 110kV is formed through traversal identification of a graph algorithm. For paths among the transformer substation nodes with different voltage levels among the layers, the paths can be simultaneously obtained by being used as edges in a graph data model for identification, namely, a connecting path between each 220kV station node and each 110kV station node is screened and identified, and a combination detail set of a power supply feeder line of a 110kV transformer substation bus and a bypass feeder line of the transformer substation where the power supply feeder line is located is obtained.
In some embodiments, the base data includes blackout overhaul plan data; the power outage line corresponding to the power outage plan obtained according to the basic data comprises:
acquiring a power failure plan according to the power failure maintenance plan data;
and acquiring a corresponding power outage line according to the power outage plan.
Preferably, the judging whether the load transfer line caused by power outage is overloaded according to the outage line and the combined detail set includes:
judging whether a power failure line corresponding to a power failure plan is a power supply feeder line, if so, acquiring a bypass feeder line of a transformer substation where the power supply feeder line is located according to the combination detail set, and comparing the bus load capacity of the transformer substation with the load capacity of the bypass feeder line;
if the load capacity of the bypass feeder line is smaller than the load capacity of the bus, determining that the power transfer line is overloaded; otherwise, determining that the transfer line is not overloaded.
Preferably, the power outage maintenance plan constraint is a power outage window period.
Specifically, taking a certain power supply tree as an example, a certain 220kV power grid network area is taken as a feed root, communication paths of each 220kV substation and 110kV substations connected with the substation are searched in a traversing manner, a node network of the 220kV substation and a node network of the 110kV substation are layered, then loads carried by nodes of the substations in 110kV levels are obtained by combining with a load prediction result of a 110kV bus, the number of layers of each contact switch is the number of layers of branches, and simultaneously, the power load of the whole layer can be obtained. And then screening and matching the power failure line corresponding to the power failure plan with the detail set of the power supply feeder line, if the power failure line equipment is the power supply feeder line, judging the corresponding bypass feeder line of the same station, comparing the bus load of the station with the load capacity of the rest bypass feeder lines, and if the bypass feeder line capacity is smaller than the bus load of the station, determining that the overload condition of the transfer supply line occurs.
When the overload of the transfer supply line occurs, the load margin of the power supply feeder line in the time window is not suitable for carrying out power failure maintenance work, and accordingly, the power failure window period of the feeder line is identified and updated, and the power failure load margin can be added and refined as one of power failure constraint conditions in a power failure planning model. And finally, the formed power failure window period caused by load transfer is taken as optimization constraint and incorporated into the power failure plan model, and the maintenance plan arrangement can be more reasonably carried out through the operation and planning optimization algorithm technology to obtain the optimized power failure plan model.
As shown in fig. 2, an embodiment of the present application provides a power outage plan optimization model constraint building apparatus in consideration of load transfer, including:
the obtaining module 201 is configured to obtain basic data of a power grid device, construct a graph data model of power grid network information according to the basic data, and simplify the graph data model to obtain a graph data simplified model;
a layering module 202, configured to layer the graph data simplification model according to voltage levels;
the identification module 203 is used for identifying a power supply feeder line of a target layer substation bus and a combination detail set of a substation bypass feeder line where the power supply feeder line is located according to layered screening;
the judging module 204 is configured to obtain a blackout line corresponding to a blackout plan according to the basic data, judge whether a load transfer line caused by blackout is overloaded according to the blackout line and the combined detail set, and generate blackout maintenance plan constraints when the load transfer line is overloaded;
and the optimizing module 205 is configured to perform optimization iteration processing on the blackout plan model according to the blackout maintenance plan constraint.
The working principle of the power outage plan optimization model constraint construction device considering load transfer is that the acquisition module 201 acquires basic data of power grid equipment, constructs a graph data model of power grid network information according to the basic data, and simplifies the graph data model to obtain a graph data simplified model; the layering module 202 performs layering on the graph data simplification model according to the voltage level; the identification module 203 identifies a power supply feeder line of a target layer substation bus and a combination detail set of a substation bypass feeder line where the power supply feeder line is located according to layered screening; the judging module 204 acquires a blackout line corresponding to the blackout plan according to the basic data, judges whether a load transfer line caused by blackout is overloaded or not according to the blackout line and the combined detail set, and generates blackout maintenance plan constraint when the load transfer line is overloaded; the optimization module 205 performs optimization iteration on the blackout plan model according to the blackout overhaul plan constraint.
The embodiment of the application provides computer equipment, which comprises a processor and a memory connected with the processor;
the memory is used for storing a computer program, and the computer program is used for executing the power outage plan optimization model constraint construction method considering load transfer provided by any one of the embodiments;
the processor is used to call and execute the computer program in the memory.
In summary, the present invention provides a power outage plan optimization model constraint construction method and device considering load transfer, including obtaining basic data of a power grid device, constructing a graph data model of power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model; layering the graph data simplified model according to the voltage level; identifying a power supply feeder of a target layer transformer substation bus and a combination detail set of a bypass feeder of a transformer substation where the power supply feeder is located according to layered screening; acquiring a power failure line corresponding to a power failure plan according to the basic data, judging whether a load transfer line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer line is overloaded; and performing optimization iteration processing on the power failure plan model according to the power failure maintenance plan constraint. By introducing the method for topological analysis of the graph data, the graph algorithm is applied to the identification of the power grid structure for power failure maintenance, and the accuracy and the rationality of the constraint construction of the power failure maintenance plan optimization model can be improved by combining the power supply and demand requirements under the load transfer scene, so that the maintenance plan optimization result can be iteratively optimized, and the power grid operation requirements can be approached and met.
It is to be understood that the embodiments of the method provided above correspond to the embodiments of the apparatus described above, and the corresponding specific contents may be referred to each other, which is not described herein again.
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, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. A power failure plan optimization model constraint construction method considering load transfer is characterized by comprising the following steps:
acquiring basic data of the power grid equipment, constructing a graph data model of the power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model;
layering the graph data simplified model according to the voltage level;
identifying a power supply feeder of a target layer transformer substation bus and a combination detail set of a bypass feeder of a transformer substation where the power supply feeder is located according to layered screening;
acquiring a power failure line corresponding to a power failure plan according to the basic data, judging whether a load transfer line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer line is overloaded;
and performing optimization iteration processing on the power failure plan model according to the power failure maintenance plan constraint.
2. The method according to claim 1, wherein the obtaining of the basic data of the power grid device, the constructing of the graph data model of the power grid network information according to the basic data, and the simplifying of the graph data model to obtain the graph data simplified model comprises:
acquiring element data, element connection relation data and real-time operation data of the power grid equipment;
obtaining effective element data and effective element connection relation data according to the implementation operation data, establishing vertex data according to the effective element data, and establishing edge data according to the effective element connection relation data;
establishing a graph data model according to the vertex data and the edge data;
and simplifying and combining a plurality of nodes on the same communication path in the graph data model into one node to obtain the graph data simplified model.
3. The method of claim 1 or 2, wherein said layering the graph data reduction model according to voltage levels comprises:
layering the graph data simplified model according to the voltage level;
and forming a network hierarchy of 220kV and 110 kV.
4. The method of claim 3, wherein identifying the combined detail set of the supply feeder of the target level substation bus and the substation bypass feeder on which the supply feeder is located according to hierarchical screening comprises:
and screening and identifying edges of the graph data simplification model by adopting a graph algorithm to obtain a connecting path between each 220kV station node and each 110kV station node, and obtaining a combined detail set of a power supply feeder line of a 110kV substation bus and a substation bypass feeder line where the power supply feeder line is located.
5. The method of claim 2, wherein the base data includes blackout service plan data; the power outage line corresponding to the power outage plan obtained according to the basic data comprises:
acquiring a power failure plan according to the power failure maintenance plan data;
and acquiring a corresponding power outage line according to the power outage plan.
6. The method of claim 5, wherein said determining whether the outage-induced load transfer line is overloaded based on the outage line and the combined set of details comprises:
judging whether a power failure line corresponding to a power failure plan is a power supply feeder line, if so, acquiring a bypass feeder line of a transformer substation where the power supply feeder line is located according to the combination detail set, and comparing the bus load capacity of the transformer substation with the load capacity of the bypass feeder line;
if the load capacity of the bypass feeder line is smaller than the load capacity of the bus, determining that the power transfer line is overloaded; otherwise, determining that the transfer line is not overloaded.
7. The method of claim 1,
and the power failure maintenance plan is restricted to a power failure window period.
8. The method of claim 1,
and acquiring a CIM/E file in the power grid dispatching operation system, and acquiring power grid equipment through the CIM/E file.
9. The method of claim 1,
the graph data model is of a tree structure.
10. A power failure plan optimization model constraint construction device considering load transfer is characterized by comprising the following steps:
the acquisition module is used for acquiring basic data of the power grid equipment, constructing a graph data model of the power grid network information according to the basic data, and simplifying the graph data model to obtain a graph data simplified model;
the layering module is used for layering the graph data simplified model according to the voltage level;
the identification module is used for identifying a power supply feeder line of a target layer transformer substation bus and a combination detail set of a bypass feeder line of a transformer substation where the power supply feeder line is located according to layered screening;
the judging module is used for acquiring a power failure line corresponding to a power failure plan according to the basic data, judging whether a load transfer and supply line caused by power failure is overloaded or not according to the power failure line and the combined detail set, and generating power failure maintenance plan constraint when the load transfer and supply line is overloaded;
and the optimization module is used for carrying out optimization iterative processing on the power failure plan model according to the power failure maintenance plan constraint.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113570345A (en) * | 2021-08-13 | 2021-10-29 | 国网江苏省电力有限公司南通供电分公司 | Power failure range automatic identification system based on construction project circuit diagram |
| CN115603326A (en) * | 2022-12-15 | 2023-01-13 | 国网浙江省电力有限公司金华供电公司（Cn） | Power distribution network load transfer method and system based on tree topology |
| CN117575537A (en) * | 2023-12-15 | 2024-02-20 | 国网山东省电力公司莒县供电公司 | Distribution network power failure plan management system and method |
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2021
- 2021-06-21 CN CN202110685584.0A patent/CN113344280A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113570345A (en) * | 2021-08-13 | 2021-10-29 | 国网江苏省电力有限公司南通供电分公司 | Power failure range automatic identification system based on construction project circuit diagram |
| CN113570345B (en) * | 2021-08-13 | 2024-01-19 | 国网江苏省电力有限公司南通供电分公司 | Automatic power failure range identification system based on construction project circuit diagram |
| CN115603326A (en) * | 2022-12-15 | 2023-01-13 | 国网浙江省电力有限公司金华供电公司（Cn） | Power distribution network load transfer method and system based on tree topology |
| CN115603326B (en) * | 2022-12-15 | 2023-08-04 | 国网浙江省电力有限公司金华供电公司 | Power distribution network load transfer method and system based on tree topology |
| CN117575537A (en) * | 2023-12-15 | 2024-02-20 | 国网山东省电力公司莒县供电公司 | Distribution network power failure plan management system and method |
| CN117575537B (en) * | 2023-12-15 | 2024-05-31 | 国网山东省电力公司莒县供电公司 | Distribution network power failure plan management system and method |
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