CN115795748A

CN115795748A - Power grid tidal current diagram construction method, device, equipment and storage medium

Info

Publication number: CN115795748A
Application number: CN202211121358.0A
Authority: CN
Inventors: 陈伟鑫; 罗奕强; 蔡景东; 徐大勇; 陈涛威; 赖育庭; 魏可慰; 郭旭东; 卢东旭; 杨清波
Original assignee: Guangdong Power Grid Co Ltd; Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Current assignee: Guangdong Power Grid Co Ltd; Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date: 2022-09-15
Filing date: 2022-09-15
Publication date: 2023-03-14

Abstract

The invention discloses a method, a device, equipment and a storage medium for constructing a power grid tidal current diagram, wherein the method comprises the following steps: according to the layer logic relation between a basic layer and a candidate template layer, calling target element data from basic element data of the basic layer, and constructing the candidate template layer by adopting the target element data; the layer logic relationship comprises an incidence relationship among candidate template layers, target element data in a basic layer and target parameters required to be calibrated by the target element data; calibrating parameters of the target element data according to the power grid sensing data and the layer logic relation; and constructing a power grid tidal current graph according to the basic graph layer, the candidate template graph layer and the graph layer logic relationship. The device and the method realize classified display of the equipment operation information in the power grid tide flow graph, and improve the efficiency of searching the equipment operation condition by the staff.

Description

Power grid tidal current graph construction method, device, equipment and storage medium

Technical Field

The embodiment of the invention relates to the field of computers, in particular to a method, a device, equipment and a storage medium for constructing a power grid tidal current graph.

Background

Most power grid tidal current graphs adopt an AutoCAD display method at the present stage, and on the basis, the accumulated information of the power grid is difficult to be completely drawn in one graph layer according to the service requirements of the power grid, so that the display information in the power grid tidal current graphs is limited, the display information is disordered, the equipment operation information in the power grid cannot be displayed in a classified manner, the searching efficiency of workers on the equipment operation condition is low, and the abnormal operation phenomenon of the equipment in the power grid cannot be timely positioned and processed. Therefore, how to classify and display the equipment operation information in the power grid tidal current diagram is a problem to be solved, so that the efficiency of searching the equipment operation condition by a worker is improved, and the processing time of the abnormal operation phenomenon of the equipment is saved.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for constructing a power grid tide flow graph, which can be used for classifying and displaying equipment operation information in the power grid tide flow graph and improving the efficiency of searching equipment operation conditions by workers.

According to an aspect of the invention, a method for constructing a power grid tidal current graph is provided, which includes:

according to the layer logic relation between a basic layer and a candidate template layer, calling target element data from basic element data of the basic layer, and constructing the candidate template layer by adopting the target element data; the layer logic relationship comprises an incidence relationship among candidate template layers, target element data in a basic layer and target parameters required to be calibrated by the target element data;

according to the power grid sensing data and the layer logic relation, calibrating parameters of the target element data;

and constructing a power grid tidal current graph according to the basic graph layer, the candidate template graph layer and the graph layer logic relationship.

According to another aspect of the present invention, there is provided a power grid tidal flow graph constructing apparatus, the apparatus comprising:

the candidate template layer construction module is used for calling target element data from the basic element data of the basic layer according to the layer logic relation between the basic layer and the candidate template layer, and constructing the candidate template layer by adopting the target element data; the layer logic relationship comprises an incidence relationship among candidate template layers, target element data in a basic layer and target parameters required to be calibrated by the target element data;

the parameter calibration module is used for calibrating the parameters of the target element data according to the power grid sensing data and the layer logic relation;

and the power grid tidal current graph building module is used for building a power grid tidal current graph according to the basic graph layer, the candidate template graph layer and the graph layer logic relationship.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of grid tidal flow graph construction according to any embodiment of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the method for constructing a power grid tidal flow graph according to any of the embodiments of the present invention when the computer instructions are executed.

According to the technical scheme of the embodiment of the invention, target element data is called from basic element data of a basic layer according to the layer logic relation between the basic layer and a candidate template layer, and the candidate template layer is constructed by adopting the target element data; calibrating parameters of target element data according to the power grid sensing data and the layer logic relation; and constructing a power grid tidal current diagram according to the basic diagram layer, the candidate template diagram layer and the diagram layer logic relationship. According to the scheme, when the power grid tidal flow graph is constructed, the concept of the graph layer is introduced, target element data required for constructing the candidate template graph layer are called from basic element data of the basic graph layer, parameter calibration is carried out on the target element data, and the candidate template graph layer is determined according to the target element data after the parameter calibration; and constructing a power grid tidal current diagram according to the basic diagram layer, the candidate template diagram layer and the diagram layer logic relationship. The problem of when equipment in the power grid produced unusually, the staff is comparatively complicated to the searching process of unusual equipment, and seeks the efficiency lower is solved. The drawing method and the drawing device have the advantages that the drawing layer concept is introduced into the drawing of the power grid tide flow graph, the equipment operation information in the power grid tide flow graph is displayed in a classified mode, the efficiency of searching the equipment operation condition by workers is improved, the processing time of the abnormal operation phenomenon of the equipment is saved, and the equipment in the power grid is convenient to manage in the later stage.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart of a method for constructing a tidal current diagram of a power grid according to an embodiment of the present invention;

fig. 2 is a flowchart of a method for constructing a tidal current graph of a power grid according to a second embodiment of the present invention;

fig. 3 is a flowchart of a method for constructing a tidal current graph of a power grid according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of a power grid tidal current diagram constructing apparatus according to a fourth embodiment of the present invention;

fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, 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 obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

It should be noted that the terms "candidate" and "target" and the like in the description and claims of the present invention and the above drawings are used for distinguishing similar objects and are not necessarily used for describing a particular order or sequence. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a method for constructing a power grid tidal flow graph according to an embodiment of the present invention, which is applicable to a case of constructing a power grid tidal flow graph, and is particularly applicable to a case of constructing a power grid tidal flow graph according to a power grid sensing data and layer logic relationship. The method may be performed by a power grid tidal flow graph building apparatus, which may be implemented in hardware and/or software, and which may be configured in an electronic device. As shown in fig. 1, the method includes:

s110, according to the layer logic relation between the basic layer and the candidate template layer, calling target element data from the basic element data of the basic layer, and constructing the candidate template layer by adopting the target element data.

The layer logic relationship comprises an incidence relationship among the candidate template layer, the target element data in the basic layer and the target parameters required to be calibrated by the target element data. The layers are like films containing elements such as characters or figures, and are stacked together in sequence to form the final effect of the page. The layers can precisely locate elements on the page. Text, pictures, tables and plug-ins can be added into the layer, and sub-layers can be embedded into the layer. The base element refers to a power element in a power grid, and may include a bus bar element, a main transformer element, a line element, a substation element, and a power plant element. The basic element data refers to image data corresponding to basic elements required for displaying the basic elements in the power grid tidal current diagram. The candidate template layer refers to a common layer for constructing a power grid tidal flow graph. The steady distribution of voltage and power in an electric power system is called tidal current, and a circuit graph formed by distributing the voltage and the power of an electric network through electrical signs such as lines, nodes, reactance elements and the like is a tidal current graph of the electric network. The target element data refers to basic element data which needs to be added in the candidate template layer, namely basic element data which is needed for constructing the candidate template layer.

Specifically, the layer logic relationship between the basic layer and the candidate template layer may be pre-constructed according to actual requirements. For example, the association relationship between the candidate template layer, the target element data in the base layer, and the target parameter to which the target element data needs to be calibrated may be constructed in advance. And determining the layer logic relationship between each sub-image layer in the base layer and the candidate template layer according to the layer logic relationship between the base layer and the candidate template layer.

Respectively determining target element data required for constructing each sub-graph layer in the candidate template graph layer from the basic element data of the basic graph layer, calling the target element data from the basic graph layer, constructing each sub-graph layer in the candidate template graph layer by adopting the target element data, integrating each constructed sub-graph layer, and determining the candidate template graph layer.

For example, the method for constructing the template layer may be: determining target element data of each sub-layer in the constructed candidate template layer and target parameters corresponding to the target element data from the basic element data of the basic layer according to the layer logic relationship; and constructing a candidate template layer according to the target element data and the target parameters.

The target parameters refer to operation parameters of the power elements corresponding to the target element data when the power elements operate in the power grid.

Specifically, according to the layer logic relationship, target element data for constructing each sub-layer in the candidate template layer is determined from the basic element data of the basic layer. Wherein, the target parameters corresponding to different target element data are different. And adding the target element data to each sub-layer in the candidate template layer corresponding to the target element data, and integrating each sub-layer to construct the candidate template layer.

It can be understood that according to the layer logical relationship, target element data is called from the basic element data of the basic layer, and target parameters are marked for the target element data, so as to construct a candidate template layer according to the target element data and the target parameters, thereby realizing the automatic construction of the candidate template layer and improving the construction efficiency of the candidate template layer.

And S120, calibrating parameters of the target element data according to the power grid sensing data and the layer logic relation.

The power grid sensing data refers to parameter values of the power elements in the operation process, which are detected by detection equipment of the power elements in the power grid. For example, if the power element is a power line element, the grid sensory data may be a current value and a current limit value of the power line element.

Specifically, the layer logic relationship is used for determining target element data of each sub-layer and target parameters corresponding to the target element data, acquiring power grid sensing data through detection equipment of power elements in a power grid, determining specific numerical values of the target parameters according to the power grid sensing data, and performing parameter calibration on the target element data in each sub-layer according to the specific numerical values of the target parameters so as to construct a candidate template layer according to the target element data after parameter calibration.

Illustratively, the candidate template layer includes: the system comprises a line erection layer, an element current limiting value layer, a section control value layer and a special mark layer.

The line erection layer comprises a cross-over layer or a tower erection layer. The cross-over layer refers to a sub-layer used for displaying a cross-over line in the candidate template layer. The power transmission line is intersected with other lines such as telecommunication lines, power lines, pipelines, cableways, railways, highways and the like to form a horizontal crossing angle which is called as a crossing line; the power transmission line passes through objects such as houses, buildings, fruit trees, woods, rivers and the like, and can also be called as a cross-over line. The layer erected on the same tower refers to a sub-layer used for displaying the line erected on the same tower in the candidate template layer. The element current limiting value layer refers to a sub-layer which is used for displaying the power element and the current limiting value of the power element in the candidate template layer. The section control value layer refers to a sub-layer used for displaying the transmission sections and the relevant parameter values of the transmission power of the transmission sections in the candidate template layer. In an actual power system, a system dispatcher often selects a plurality of lines connecting a power supply center and a load center as a power transmission section according to geographical positions. The special mark layer refers to a sub-layer in the candidate template layer for displaying the mark information of the special element. The marking information of the specific element may include: the method comprises the following steps of standby power automatic switching mark information, urban user substation mark information, special bus voltage loss event grade mark information and special 10kV bus substation mark information. The spare power automatic switching device is a protection device, can adopt an alternating current uninterrupted sampling mode to acquire signals and then carry out Fourier calculation in real time, can accurately judge the power state and implement delayed switching of a power supply. Bus voltage loss refers to that bus voltage is zero due to faults in a power system, and is a major power production accident.

Further, the target component data may be parameterized by the following substeps:

s1201, determining target element data of each sub-layer in the candidate template layer according to the layer logic relation.

And S1202, performing parameter calibration on target element data in the element current limiting value layer according to the power grid sensing data to determine a power transmission line current limiting value, a main transformer variable-height current limiting value and a main transformer variable-height current limiting value in the element current limiting value layer.

The target element data in the element current limiting value map layer comprises transmission line element data and main variable-low bus element data in a power grid. The main transformer and low-voltage bus refers to a main transformer and low-voltage all-insulation tubular bus. When the current rises to the maximum value, the current does not rise any more, but falls, and the maximum value of the detected current is the current limiting value. The main transformer variable height current limiting value is a main transformer variable height bus current limiting value; the main transformer low current limiting value is a main transformer low bus current limiting value.

Specifically, the target element data in the element current limiting value map layer includes transmission line data and main transformer variable-low bus data. And in the element current limiting value layer, the target parameters of the power elements corresponding to the transmission line data and the main transformer variable-down bus data are current parameters. The method comprises the steps of obtaining power grid sensing data of an electric power element corresponding to power transmission line data according to current detection equipment, carrying out load flow calculation according to the power grid sensing data, determining a power transmission line current limiting value corresponding to the electric line data, carrying out parameter calibration on the power transmission line data in an element current limiting value map layer according to the power transmission line current limiting value, marking the power transmission line current limiting value at a position close to the power transmission line data, and meanwhile marking a conversion relation between the power transmission line current limiting value and power below the power transmission line data in the element current limiting value map layer in a text mode.

Obtaining power grid sensing data of an electric power element corresponding to main transformer-down bus data according to current detection equipment, determining a main transformer-down bus current-limiting value corresponding to the main transformer-down bus data according to the power grid sensing data, performing parameter calibration on the main transformer-down bus data in an element current-limiting value layer according to the main transformer-down bus current-limiting value, marking the main transformer-down bus current-limiting value at a position close to the main transformer-down bus data, and meanwhile, marking a conversion relation between the main transformer-down bus current-limiting value and power below the main transformer-down bus data in the element current-limiting value layer in a text form. And the main transformer low-changing bus current-limiting value is the main transformer low-changing current-limiting value.

The method comprises the steps of obtaining power grid sensing data of an electric power element corresponding to main transformer variable-height bus data according to current detection equipment, determining a main transformer variable-height bus current limiting value corresponding to the main transformer variable-height bus data according to the power grid sensing data, carrying out parameter calibration on the main transformer variable-height bus data in an element current limiting value layer according to the main transformer variable-height bus current limiting value, marking the main transformer variable-height bus current limiting value at a position close to the main transformer variable-height bus data, and meanwhile, marking a conversion relation between the main transformer variable-height bus current limiting value and power below the main transformer variable-height bus data in the element current limiting value layer in a text mode. And the main transformer variable height bus current limiting value is the main transformer variable height current limiting value.

S1203, performing parameter calibration on target element data in the section control value layer according to the power grid sensing data to determine a power transmission line section value and a main transformer section value in the section control value layer.

The interface value refers to the transmission power of each line of the transmission section. The main transformer section value comprises the section quota of the main transformer low bus, the interface value of the main transformer low bus and the overload coefficient of the main transformer low bus at a specified time. The section quota can be set according to actual requirements, and the section quota is smaller than the sum of the transmission power limits of all lines in the transmission section.

Specifically, the target element data in the section control value map layer includes power transmission line data and main transformer variable-low bus data. And in the section control value layer, the target parameters of the power elements corresponding to the transmission line data and the main transformer variable-down bus data are section parameters of the transmission section. Obtaining power grid sensing data of a power element corresponding to the power transmission line data according to power detection equipment of the power transmission section, determining transmission power of the power transmission line in the power transmission section according to the power grid sensing data, taking the transmission power of the power transmission line as a power transmission line section value, carrying out parameter calibration on the power transmission line data in a section control value layer according to the power transmission line section value, and marking the power transmission line section value near the power transmission line data in the section control value layer.

Obtaining power grid sensing data of an electric element corresponding to main transformer low-voltage bus data according to power detection equipment of a power transmission section, determining an interface value of a main transformer low-voltage bus and an overload coefficient of the main transformer low-voltage bus at a specified time in the power transmission section according to the power grid sensing data, limiting the section of the main transformer low-voltage bus, the interface value of the main transformer low-voltage bus and the overload coefficient of the main transformer low-voltage bus at the specified time as main transformer section values, and carrying out parameter calibration on the main transformer low-voltage bus data in a section control value layer according to the main transformer section values.

S1204, according to the power grid sensing data, parameter calibration is carried out on target element data in the special mark map layer, so that a spare power automatic switching mark, an urban user substation mark, an important user substation mark, a special 10kV bus voltage loss event grade mark and a special 10kV bus substation mark in the special mark map layer are determined.

The important users and the important user substation marks can be specified according to actual needs.

Specifically, the target element data in the special mark map layer includes spare power automatic switching data, urban user substation data, special bus data and special bus substation data. In the special mark layer, the target parameter of the spare power automatic switching equipment corresponding to the spare power automatic switching data is whether the spare power supply is automatically put into use or not; the target parameters of the power elements corresponding to the data of the urban user substations are whether the power grid comprises the urban user substations or not and the number of the urban user substations; the target parameter of the power element corresponding to the special bus data is the grade corresponding to the 10kV bus voltage loss event, and the higher the grade is, the greater the damage caused by the special bus voltage loss event is. For example, when the level corresponding to the 10kV bus voltage loss event is one level, the damage caused by the special bus voltage loss event is the minimum; when the grade corresponding to the 10kV bus voltage loss event is two-grade, the damage caused by the special bus voltage loss event is the largest. And the target parameter of the power element corresponding to the special bus substation data is the wiring state of the special bus.

And determining whether the standby power supply of the standby power automatic switching equipment corresponding to the standby power automatic switching data is automatically put into use or not according to the power grid sensing data so as to determine the standby power automatic switching mark in the special mark layer, and calibrating the parameters of the standby power automatic switching data in the special mark layer according to the standby power automatic switching mark. For example, if the power grid has the spare power automatic switching device but the spare power supply of the spare power automatic switching device is not automatically put into use, the spare power automatic switching device in the special mark map layer is marked as B; if the power grid has the spare power automatic switching equipment, the spare power automatic switching equipment is non-bus-coupled spare power automatic switching equipment, a spare power supply of the spare power automatic switching equipment is automatically put into use, and the time of putting into use is n seconds, the spare power automatic switching equipment in the special mark layer is marked as BTn; n is a positive number; and if the power grid has the spare power automatic switching equipment, the spare power automatic switching equipment is bus-coupled spare power automatic switching, and a spare power supply of the spare power automatic switching equipment is automatically put into use, the spare power automatic switching mark in the special mark layer is MBT.

And determining whether the power grid comprises urban user substations and the number of the urban user substations according to the power grid sensing data, and calibrating the parameters of the urban user substation data in the special mark layer according to the determination result and the number of the urban user substations. If the power grid comprises urban user substations and the number of the urban user substations is greater than or equal to the number threshold, marking the urban user substations in the special marking map layer as C; if the power grid comprises urban user substations and the number of the urban user substations is smaller than a number threshold, marking the urban user substations in the special marking map layer as LC; the number threshold may be set according to actual needs, and may be 50, for example.

Determining the number of users in the loss-of-voltage urban area of the 10kV bus and the loss-of-voltage load of the 10kV bus according to the sensing data of the power grid, determining the grade corresponding to the loss-of-voltage event of the 10kV bus according to the number of users in the loss-of-voltage urban area of the 10kV bus or the loss-of-voltage load of the 10kV bus, and calibrating the parameters of the special bus data in the special mark layer according to the grade corresponding to the loss-of-voltage event of the 10kV bus. If the 10kV bus voltage loss event is a first-level event corresponding to the number of urban user with 10kV bus voltage loss, marking the level of the special bus voltage loss event as HC; if the 10kV bus voltage loss event is a secondary event corresponding to the number of users in the 10kV bus voltage loss urban area, marking the grade of the special bus voltage loss event as HHC; if the 10kV bus voltage loss event is a primary event corresponding to the 10kV bus voltage loss load, marking the special bus voltage loss event as HL; and if the 10kV bus voltage loss event is a secondary event corresponding to the 10kV bus voltage loss load, marking the special bus voltage loss event as HHL.

Optionally, the user load of the urban area with the loss of voltage of the 10kV bus can be determined according to the number of users in the urban area with the loss of voltage of the 10kV bus and the loss of voltage of the 10kV bus, the grade corresponding to the loss of voltage of the bus is determined according to the user load of the urban area with the loss of voltage of the 10kV bus, and the parameter calibration is performed on the special bus data in the special mark layer according to the grade corresponding to the loss of voltage of the 10kV bus. For example, if the 10kV bus voltage loss event is a first-level event corresponding to the load of the urban user with the 10kV bus voltage loss, the special bus voltage loss event is labeled as HCL; and if the 10kV bus voltage loss event is a secondary event corresponding to the user load in the 10kV bus voltage loss urban area, marking the grade of the special bus voltage loss event as HHCL.

And determining whether a special 10kV bus transformer substation exists in the power grid or not according to the power grid sensing data, if so, using the triangle as a special bus transformer substation mark to carry out parameter calibration on the special 10kV bus transformer substation in the special mark map layer.

And S1205, performing parameter calibration on target element data in the line erection layer according to the power grid sensing data to determine a cross-over line or a same-tower erection line in the line erection layer.

The line erection layer can be a cross-spanning layer or a tower erection layer.

Specifically, whether a cross spanning line or a same-tower erection line exists in the power grid is determined according to the power grid sensing data, if yes, the X is used as a marker of the cross spanning line or the same-tower erection line in the line erection map, and parameter calibration is carried out on target element data in the line erection map so as to determine the cross spanning line in the cross spanning map or the same-tower erection line in the same-tower erection map.

It can be understood that a line erection layer, a component current limiting value layer, a section control value layer and a special mark layer are arranged in the candidate template layer, target component data are respectively configured for each sub-layer in the candidate template layer, and then parameter calibration is performed on the target component data in each sub-layer, so that different target component data can be respectively displayed on each sub-layer in the candidate template layer, the equipment operation information in the power grid is classified and displayed, a worker can conveniently look up the equipment operation condition in the power grid tidal current diagram, and the efficiency of looking up the equipment operation condition by the worker is improved.

S130, constructing a power grid tidal current diagram according to the basic diagram layer, the candidate template diagram layer and the diagram layer logic relation.

Specifically, the corresponding relation among the basic layer, the candidate template layer and the layer logic relation is determined, the corresponding relation is used as the layer corresponding relation, and the power grid tidal current graph is constructed according to the basic layer, the candidate template layer, the layer corresponding relation and the layer logic relation.

Preferably, after the power grid tidal current diagram is constructed, when it is detected that data updating occurs in the basic element data of the basic layer, the candidate template layer in the power grid tidal current diagram is updated according to the updating result of the basic element data and the layer logic relationship.

According to the updating condition of the basic element data of the basic pattern layer, the candidate template pattern layer in the power grid tidal current diagram is updated, the candidate template pattern layer can be adjusted in real time according to the changing condition of the basic pattern layer, and the accuracy of the candidate template pattern layer in the power grid tidal current diagram is guaranteed.

According to the technical scheme provided by the embodiment, target element data are called from the basic element data of the basic layer according to the layer logic relationship between the basic layer and the candidate template layer, and the candidate template layer is constructed by adopting the target element data; calibrating parameters of target element data according to the power grid sensing data and the layer logic relation; and constructing a power grid tidal current graph according to the basic graph layer, the candidate template graph layer and the graph layer logic relationship. According to the scheme, when a power grid tidal flow graph is constructed, the concept of the graph layer is introduced, target element data required for constructing the candidate template graph layer is called from basic element data of the basic graph layer, parameter calibration is carried out on the target element data, and the candidate template graph layer is determined according to the target element data after the parameter calibration; and constructing a power grid tidal current graph according to the basic graph layer, the candidate template graph layer and the graph layer logic relationship. The problem of when equipment in the electric wire netting produced unusually, the staff is comparatively complicated to the process of looking for unusual equipment, and looks for the efficiency lower is solved. The drawing method and the drawing device have the advantages that the drawing layer concept is introduced into the drawing of the power grid tidal flow graph, the equipment operation information in the power grid tidal flow graph is displayed in a classified mode, the efficiency of searching the equipment operation condition by workers is improved, the processing time of the abnormal operation phenomenon of the equipment is saved, and the equipment in the power grid can be managed in the later period conveniently.

For example, the layer logic relationship between the base layer and the candidate template layer may be determined by determining an element-to-parameter association relationship between target element data and target parameters corresponding to the target element data, and an element-to-layer association relationship between a candidate target layer and target element data; and determining the layer logic relationship according to the element-parameter association relationship and the element-layer association relationship. Specifically, the method can be realized by the following steps:

step 1, determining element-layer association relation between each sub-layer in the candidate template layer and basic element data of the basic layer, and taking the basic element data associated with each sub-layer as target element data of each sub-layer.

Specifically, according to the construction requirements of each sub-layer in the candidate template layer, the basic element data of the called basic layer required for constructing each sub-layer in the candidate template layer is determined, so that according to the calling condition of the basic element data and the construction condition of each sub-layer, the element-layer association relationship between each sub-layer in the candidate template layer and the basic element data of the basic layer is determined, and the basic element data associated with each sub-layer is used as the target element data of each sub-layer.

And 2, determining the element-parameter association relationship between the target element data and the target parameters required to be calibrated by the target element data.

Specifically, target element data required for constructing each sub-layer in the candidate template layer may be different, and the calibrated target parameters required for the target element data in each sub-layer are also different. Therefore, according to actual needs, target element data required by each sub-layer in the candidate template layer is planned, and target parameters required to be calibrated by the target element data in each sub-layer are determined. And associating the target element data required by each sub-image layer in the candidate template image layer with the target parameters required to be calibrated by the target element data in each sub-image layer, and determining the element-parameter association relationship between the target element data and the target parameters required to be calibrated by the target element data.

And 3, taking the element-parameter association relation and the element-layer association relation as layer logic relations between the basic layer and the candidate template layer.

And determining the layer logic relationship between the basic layer and the candidate template layer according to the element-parameter association relationship and the element-layer association relationship, thereby providing an alternative for constructing the layer logic relationship and improving the efficiency of constructing the commonly used layer according to the layer logic relationship.

Example two

Fig. 2 is a flowchart of a method for constructing a power grid tidal flow graph according to a second embodiment of the present invention, which is optimized based on the second embodiment, and provides a preferred embodiment for constructing a power grid tidal flow graph according to a basic layer, a candidate template layer, and a layer logical relationship. Specifically, as shown in fig. 2, the method includes:

s210, according to the layer logic relation between the basic layer and the candidate template layer, calling target element data from the basic element data of the basic layer, and constructing the candidate template layer by adopting the target element data.

The layer logic relationship comprises an incidence relationship among the candidate template layer, the target element data in the basic layer and the target parameters required to be calibrated by the target element data.

And S220, calibrating parameters of the target element data according to the power grid sensing data and the layer logic relation.

S230, determining a target template layer required for constructing the power grid tidal current diagram from the candidate template layers, and superposing the target template layers to obtain a fusion template layer.

Specifically, only one candidate template layer is selected to construct the power grid tidal current diagram, and the construction requirement of the power grid tidal current diagram cannot be met. Therefore, at least two candidate template layers meeting the requirements can be selected from the candidate template layers according to the actual construction requirements of the power grid tidal flow graph and used as target template layers required by the construction of the power grid tidal flow graph. And overlapping the target template layers, and taking at least two overlapped target template layers as fusion template layers.

S240, according to the basic layer, fusing the template layer and the layer logic relation between the target template layer and the basic layer, and constructing a power grid tidal current diagram.

Specifically, layer logic relations between a target template layer and a base layer which form a fusion template layer are determined, and a power grid tidal current diagram is constructed according to the base layer, the fusion template layer and the layer logic relations between the target template layer and the base layer.

According to the technical scheme of the embodiment, target element data are called from basic element data of a basic layer according to the layer logic relation between the basic layer and a candidate template layer, and the candidate template layer is constructed by adopting the target element data; calibrating parameters of target element data according to the power grid sensing data and the layer logic relation; determining a target template layer required for constructing a power grid tidal current diagram from the candidate template layers, and superposing the target template layers to obtain a fusion template layer; and according to the basic layer, fusing the template layer and the layer logic relationship between the target template layer and the basic layer, and constructing the power grid tidal current graph. According to the scheme, after the candidate template layers are determined, at least one target template layer can be selected from the candidate template layers, the target template layers are overlapped to obtain the fusion template layer, and the power grid tidal current diagram is constructed according to the fusion template layer, the basic layer and the layer logic relation, so that the flexibility of the construction mode of the power grid tidal current diagram is improved, and meanwhile the construction efficiency of the complex power grid tidal current diagram is improved.

EXAMPLE III

Fig. 3 is a flowchart of a method for constructing a power grid tidal current graph according to a third embodiment of the present invention, which is optimized based on the third embodiment, and provides a preferred implementation of a method for determining a display of each power component in the power grid tidal current graph. Specifically, as shown in fig. 3, the method includes:

s310, according to the layer logic relation between the basic layer and the candidate template layer, calling target element data from the basic element data of the basic layer, and constructing the candidate template layer by adopting the target element data.

And S320, calibrating parameters of the target element data according to the power grid sensing data and the layer logic relation.

S330, constructing a power grid tidal current diagram according to the basic layer, the candidate template layer and the layer logic relation.

And S340, determining a bus connection mode in the power grid current diagram according to the type of the bus element in the power grid.

Specifically, the wiring mode of the bus bar element comprises the following steps: the single bus wiring mode, the single bus double-section wiring mode, the double bus double-section wiring mode and the bypass bus wiring mode. In the power grid tidal current diagram, the bus bar elements can be represented by semi-circles or circles, and the number of the semi-circles or circles represents the number of the bus bar elements. Optionally, the by-pass bussing may be drawn with a dashed line in the grid tidal flow graph.

And S350, determining the bus color of the bus element in the power grid tidal current diagram according to the operation mode of the bus element in the power grid.

The operation modes of the bus bar elements comprise parallel operation and split operation.

Specifically, the operation mode of the bus bar element is indicated by color. For example, in a power grid tidal flow diagram, a semi-circle or circular color consistent represents that the bus bar elements run side by side, and a semi-circle or circular color inconsistent represents that the bus bar elements run in columns.

And S360, determining the line color of the main transformer elements in the power grid tidal current diagram and whether to add a grounding symbol according to the number and the category of the main transformer elements in the power grid.

Wherein, the main transformer element refers to a main transformer. In power plants and substations, transformers used to deliver power to electrical systems or consumers are referred to as main transformers, or simply main substations. The categories of the main transformation elements include: the main transformer element comprises a bus bar and a main transformer element of a line transformer group wiring. The line transformer group connection refers to a connection mode that a line is directly connected with a transformer.

Specifically, the main transformer elements of the line transformer group connection in the power grid tidal current diagram can be represented by a quarter circle, if the neutral points of the main transformer elements of the line transformer group connection are directly grounded, a grounding symbol is added at the circle center, and if the neutral points of the main transformer elements of the line transformer group connection are in clearance grounding, no grounding symbol is added. And for the main transformer element containing the bus bar, the main transformer element containing the bus bar is hung on which bus bar element, and the line color of the main transformer element containing the bus bar in the power grid tide flow graph is adjusted to be consistent with the color of the hung bus bar element in the power grid tide flow graph.

And S370, determining the line color of the power transmission line element, the line connection mode of the power transmission line element and the line connection state of the power transmission line element in the power grid tidal current diagram according to the power transmission line element type and the power transmission line element hanging mode in the power grid.

Wherein the transmission line element types include: overhead lines, pure cable lines and hybrid lines. The hanging mode of the transmission line element comprises the following steps: the power transmission line element is connected with the bus element and the power transmission line element connecting line transformer set in a hanging mode.

Specifically, if the type of the power transmission line element in the power grid tidal current diagram is an overhead line, the line color of the power transmission line element in the power grid tidal current diagram can be adjusted to blue; if the type of the power transmission line element in the power grid tide flow graph is a pure electric cable line, the line color of the power transmission line element in the power grid tide flow graph can be adjusted to be red; if the type of the transmission line element in the power grid tidal current diagram is a mixed line, the line color of the transmission line element in the power grid tidal current diagram can be adjusted to be purple. If the hanging mode of the transmission line element in the power grid tide flow diagram is that the connection line of the transmission line element is changed into a group, the transmission line element in the power grid tide flow diagram can be directly connected with the main transformer element through a straight line; if the hanging mode of the power transmission line element in the power grid tide flow graph is that the power transmission line element hangs the bus element, the contact part of the power transmission line element and the bus element in the power grid tide flow graph can be adjusted to be a curve.

Optionally, if the power transmission line element in the power grid tide flow graph is supplied to another line through the bypass bus connection wire, the bypass bus connection wire in the power grid tide flow graph is changed from an original dotted line to a solid line; and if the power transmission line in the power grid tide flow graph is supplied to another line through the unloaded bus element, adjusting the supplied line in the power grid tide flow graph to be a broken line by a solid line. Wherein, the reverse power supply means reverse power supply.

And S380, determining a power plant element display identifier in the power grid tidal current diagram according to the power plant type in the power grid.

Specifically, the power plant types include: thermal power plant, hydraulic power plant, photovoltaic power plant, wind farm and biomass power plant

Specifically, different display identifications can be set according to different power plant types, and the power plant types and the power plant element display identifications are stored correspondingly. Determining the type of a power plant in the power grid, and determining a corresponding power plant element display identifier according to the type of the power plant, namely the power plant element display identifier in the power grid tidal current diagram.

According to the technical scheme of the embodiment, after a power grid tidal current diagram is constructed, a bus connection mode in the power grid tidal current diagram is determined according to the type of a bus element in a power grid; determining the bus color of a bus element in a power grid tide flow graph according to the operation mode of the bus element in the power grid; determining the line color of main transformer elements in a power grid tidal current diagram and whether a grounding symbol is added according to the number and the category of the main transformer elements in the power grid; determining the line color, the line connection mode and the line connection state of the power transmission line element in the power grid tidal current diagram according to the power transmission line element type and the power transmission line element hanging mode in the power grid; and determining a power plant element display identifier in the power grid tidal current diagram according to the power plant type in the power grid. According to the scheme, the display method of each electric power element in the power grid tidal current diagram is determined according to the operation mode of the bus in the power grid, the type of the bus, the type of the power plant, the number and the application scene of main transformer elements in the power grid, the property of the line element and the hanging mode of the line element, so that the power grid tidal current diagram can be more visual, and the efficiency of looking up equipment operation conditions in the power grid tidal current diagram by workers is improved.

Example four

Fig. 4 is a schematic structural diagram of a device for constructing a tidal current diagram of an electrical grid according to a fourth embodiment of the present invention. The embodiment can be applied to the situation of constructing the power grid tidal current diagram. As shown in fig. 4, the power grid tidal current graph constructing apparatus includes: a candidate template layer construction module 410, a parameter calibration module 420 and a power grid tidal flow graph construction module 430.

The candidate template layer construction module is used for calling target element data from the basic element data of the basic layer according to the layer logic relation between the basic layer and the candidate template layer, and constructing the candidate template layer by adopting the target element data; the layer logic relation comprises an incidence relation between a candidate template layer, target element data in a basic layer and target parameters required to be calibrated by the target element data;

the parameter calibration module is used for calibrating parameters of target element data according to the power grid sensing data and the layer logic relation;

and the power grid tidal current diagram building module is used for building a power grid tidal current diagram according to the basic diagram layer, the candidate template diagram layer and the diagram layer logical relationship.

According to the technical scheme provided by the embodiment, target element data are called from the basic element data of the basic layer according to the layer logic relation between the basic layer and the candidate template layer, and the candidate template layer is constructed by adopting the target element data; calibrating parameters of target element data according to the power grid sensing data and the layer logic relation; and constructing a power grid tidal current diagram according to the basic diagram layer, the candidate template diagram layer and the diagram layer logic relationship. According to the scheme, when the power grid tidal flow graph is constructed, the concept of the graph layer is introduced, target element data required for constructing the candidate template graph layer are called from basic element data of the basic graph layer, parameter calibration is carried out on the target element data, and the candidate template graph layer is determined according to the target element data after the parameter calibration; and constructing a power grid tidal current graph according to the basic graph layer, the candidate template graph layer and the graph layer logic relationship. The problem of when equipment in the electric wire netting produced unusually, the staff is comparatively complicated to the process of looking for unusual equipment, and looks for the efficiency lower is solved. The drawing method and the drawing device have the advantages that the drawing layer concept is introduced into the drawing of the power grid tidal flow graph, the equipment operation information in the power grid tidal flow graph is displayed in a classified mode, the efficiency of searching the equipment operation condition by workers is improved, the processing time of the abnormal operation phenomenon of the equipment is saved, and the equipment in the power grid can be managed in the later period conveniently.

Illustratively, the above-mentioned power grid tidal flow graph constructing apparatus further includes:

the layer incidence relation determining module is used for determining element-layer incidence relation between each sub-layer in the candidate template layer and basic element data of the basic layer, and taking the basic element data associated with each sub-layer as target element data of each sub-layer;

the parameter incidence relation determining module is used for determining the incidence relation between the target component data and the target parameters required to be calibrated by the target component data;

and the layer logic relation determining module is used for taking the element-parameter association relation and the element-layer association relation as the layer logic relation between the basic layer and the candidate template layer.

Illustratively, the candidate template layer constructing module 410 is specifically configured to:

determining target element data of each sub-layer in the constructed candidate template layer and target parameters corresponding to the target element data from the basic element data of the basic layer according to the layer logic relationship;

and constructing a candidate template layer according to the target element data and the target parameters.

Illustratively, the power grid tidal flow graph building module 430 is specifically configured to:

determining a target template layer required for constructing a power grid tidal current diagram from the candidate template layers, and superposing the target template layers to obtain a fusion template layer;

and according to the basic layer, fusing the template layer and the layer logic relationship between the target template layer and the basic layer, and constructing the power grid tidal current graph.

Illustratively, the candidate template layer includes: a line erection layer, a component current limiting value layer, a section control value layer and a special mark layer; correspondingly, the parameter calibration module 420 is specifically configured to:

determining target element data of each sub-layer in the candidate template layer according to the layer logic relation;

according to the power grid sensing data, carrying out parameter calibration on target element data in the element current limiting value layer so as to determine a transmission line current limiting value, a main transformer variable-height current limiting value and a main transformer variable-height current limiting value in the element current limiting value layer;

according to the power grid sensing data, carrying out parameter calibration on target element data in the section control value layer to determine a power transmission line section value and a main transformer section value in the section control value layer;

according to the power grid sensing data, carrying out parameter calibration on target element data in the special mark layer to determine a spare power automatic switching mark, an urban user substation mark, an important user substation mark, a special 10KV bus voltage loss event grade mark and a special 10KV bus substation mark in the special mark layer;

and according to the power grid sensing data, carrying out parameter calibration on target element data in the line erection map layer to determine a cross spanning line or a same-tower erection line in the line erection map layer.

the bus connection mode determining module is used for determining a bus connection mode in the power grid tidal current diagram according to the type of a bus element in the power grid;

the bus color determining module is used for determining the bus color of the bus element in the power grid tidal current diagram according to the operation mode of the bus element in the power grid;

the circuit color determining module is used for determining the circuit color of the main transformer elements in the power grid tide flow graph and whether to add a grounding symbol according to the number and the types of the main transformer elements in the power grid;

the line connection state determining module is used for determining the line color of the power transmission line element, the line connection mode of the power transmission line element and the line connection state of the power transmission line element in the power grid tide flow graph according to the type of the power transmission line element and the hanging mode of the power transmission line element in the power grid;

and the power plant identification determining module is used for determining a power plant element display identification in the power grid flow diagram according to the power plant type in the power grid.

and the candidate template layer updating module is used for updating the candidate template layer in the power grid tidal flow graph according to the updating result of the basic element data and the layer logic relationship when the data updating of the basic element data of the basic layer is detected.

The power grid tidal current diagram construction device provided by the embodiment can be applied to the power grid tidal current diagram construction method provided by any embodiment, and has corresponding functions and beneficial effects.

EXAMPLE five

FIG. 5 illustrates a block diagram of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data necessary for the operation of the electronic apparatus 10 can also be stored. The processor 11, the ROM 12, and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

A number of components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. Processor 11 performs the various methods and processes described above, such as the grid tidal flow graph construction method.

In some embodiments, the grid tidal flow graph construction method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When loaded into RAM13 and executed by processor 11, the computer program may perform one or more of the steps of the grid tidal flow graph construction method described above. Alternatively, in other embodiments, the processor 11 may be configured to perform the grid tidal flow graph construction method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user may provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for constructing a tidal flow graph of a power grid is characterized by comprising the following steps:

calibrating parameters of the target element data according to the power grid sensing data and the layer logic relation;

2. The method according to claim 1, wherein, before invoking target element data from the basic element data of the basic layer according to layer logical relationship between the basic layer and the candidate template layer and constructing the candidate template layer by using the target element data, further comprising:

determining element and layer association relation between each sub-layer in the candidate template layer and basic element data of the basic layer, and taking the basic element data associated with each sub-layer as target element data of each sub-layer;

determining element and parameter association relation between target element data and target parameters required to be calibrated by the target element data;

and taking the element-parameter association relation and the element-layer association relation as the layer logic relation between the basic layer and the candidate template layer.

3. The method according to claim 1, wherein according to layer logic relationships between base layers and candidate template layers, invoking target element data from base element data of the base layers, and constructing the candidate template layers by using the target element data, includes:

determining target element data for constructing each sub-layer in the candidate template layer and target parameters corresponding to the target element data from the basic element data of the basic layer according to the layer logical relationship;

and constructing the candidate template layer according to the target element data and the target parameters.

4. The method of claim 1, wherein constructing a grid tidal flow graph based on the base layer, the candidate template layer, and the layer logical relationships comprises:

determining a target template layer required for constructing the power grid tidal current graph from the candidate template layers, and superposing the target template layers to obtain a fusion template layer;

and constructing a power grid tidal current graph according to the basic graph layer, the fusion template graph layer and the graph layer logic relationship between the target template graph layer and the basic graph layer.

5. The method of claim 1, wherein the candidate template layer comprises: the method comprises the following steps that a circuit erection layer, an element current limiting value layer, a section control value layer and a special mark layer are arranged;

according to the power grid sensing data and the layer logic relationship, calibrating the parameters of the target element data, wherein the calibrating comprises the following steps:

determining target element data of each sub-layer in the candidate template layer according to the layer logical relationship;

according to the power grid sensing data, parameter calibration is carried out on target element data in the element current limiting value layer, so that a power transmission line current limiting value, a main transformer variable-height current limiting value and a main transformer variable-height current limiting value in the element current limiting value layer are determined;

according to the power grid sensing data, performing parameter calibration on target element data in the special mark layer to determine a spare power automatic switching mark, an urban user substation mark, an important user substation mark, a special 10KV bus voltage loss event grade mark and a special 10KV bus substation mark in the special mark layer;

according to the power grid sensing data, parameter calibration is carried out on target element data in a line erection layer so as to determine a cross spanning line or a same-tower erection line in the line erection layer.

6. The method of claim 1, further comprising:

determining a bus connection mode in the power grid tidal current diagram according to the type of a bus element in the power grid;

determining the bus color of a bus element in the power grid tidal current diagram according to the operation mode of the bus element in the power grid;

determining the line color of main transformer elements in the power grid tidal current diagram and whether a grounding symbol is added according to the number and the category of the main transformer elements in the power grid;

determining the line color, the line connection mode and the line connection state of the power transmission line element in the power grid tidal current diagram according to the power transmission line element type and the power transmission line element hanging mode in the power grid;

and determining a power plant element display identifier in the power grid flow diagram according to the power plant type in the power grid.

7. The method of claim 1, further comprising:

and when detecting that the basic element data of the basic layer is subjected to data updating, updating the candidate template layer in the power grid tidal flow graph according to the updating result of the basic element data and the layer logic relationship.

8. An apparatus for constructing a tidal flow graph of an electrical grid, comprising:

the parameter calibration module is used for calibrating parameters of the target element data according to the grid sensing data and the layer logic relation;

and the power grid tidal current diagram building module is used for building a power grid tidal current diagram according to the basic layer, the candidate template layer and the layer logic relationship.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of constructing a power grid tidal flow graph of any of claims 1-7.

10. A computer readable storage medium having stored thereon computer instructions for causing a processor to perform the method of constructing a power grid tidal flow graph of any of claims 1-7.