CN116632826A - Method and device for processing problems of power distribution network, electronic equipment and storage medium - Google Patents
Method and device for processing problems of power distribution network, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00016—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus
- H02J13/00017—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using a wired telecommunication network or a data transmission bus using optical fiber
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- H02J13/00019—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using optical means
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- H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
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Abstract
The embodiment of the invention discloses a problem processing method and device for a power distribution network, electronic equipment and a storage medium. The method comprises the following steps: generating a feeder original topological structure of the power distribution network; simplifying the original topological structure of the feeder line to obtain a simplified topological structure of the feeder line; calculating multi-mode power index data according to the simplified feeder topological structure; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data; generating a typical operation scene of the power distribution network according to the original topological structure of the feeder line and the operation net rack associated data; and generating the problem identification data of the power distribution network according to the typical operation scene of the power distribution network, the multi-mode power index data and the operation network frame associated data. The technical scheme of the embodiment of the invention can improve the accuracy and efficiency of the problem analysis of the power distribution network.
Description
Technical Field
The embodiment of the invention relates to the technical field of power data processing, in particular to a method and a device for processing problems of a power distribution network, electronic equipment and a storage medium.
Background
The distribution network is an important link for connecting a power generation and transmission system and power users in a power system, and a large amount of power data with various and complex structures can be generated at any moment, and the power data are used for evaluating the running condition of the current distribution network.
The problem identification method in the current distribution network planning work mainly comprises the steps of manually deriving historical data from each system, sorting and summarizing the historical data into an Excel form, manually calculating the Excel form, and judging whether the problem exists in the current distribution network according to manual experience. The working mode relies on staff to screen and integrate problems provided by different departments in a manual judgment mode, and corresponding planning construction projects are proposed according to the prior experience and then are calculated, analyzed and compared correspondingly. The working mode is extremely large in workload, and due to the lack of calculation and analysis tools, the recognition of the distribution network problems is more dependent on manual experience, and strict calculation and analysis are lack, and the problem library of distribution network planning is not clearly combed.
In the related technology, through analyzing and comparing data, abnormal operation information of different types of equipment such as lines, distribution transformers and the like is collected, weak links of the power distribution network are carded out, and a corresponding overhaul method is called to carry out key construction on the power distribution network. But the method is mainly used for diagnosing and combing the operation problems of the power distribution network, and lacks identification and analysis of network frame weak links such as connection of a feeder line and a bus, incapability of transferring the feeder line and the like.
The related technology utilizes GIS (Geographic Information System) space analysis technology, topology analysis and power conversion analysis to effectively excavate weak links of the net rack, calculates equipment operation states within a period of time based on scheduling operation data and metering operation data, and excavates the weaknesses of feeder equipment. However, the method lacks key indexes for diagnosis and identification such as power supply reliability, and has overlarge operation data and scene quantity for calculation and analysis, and has a certain improvement space in engineering application level.
The related technology determines the problem type of the to-be-detected power distribution network data according to a target power distribution network graph network matched with the to-be-detected power distribution network data by training a graph neural network model. However, the neural network model needs to be trained through sample data, and the accuracy and the completeness of the sample data are extremely depended, so that the neural network model has great defects in terms of accuracy of problem diagnosis and identification and engineering application value.
Therefore, how to improve the identification accuracy of the problems of the operation type and the grid type of the power distribution network is a problem to be solved.
Disclosure of Invention
The embodiment of the invention provides a problem processing method, a device, electronic equipment and a storage medium for a power distribution network, which can improve the accuracy and efficiency of power distribution network problem analysis.
According to an aspect of the present invention, there is provided a problem handling method for a power distribution network, including:
generating a feeder original topological structure of the power distribution network;
simplifying the original topological structure of the feeder line to obtain a simplified topological structure of the feeder line;
calculating multi-mode power index data according to the simplified feeder topological structure; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data;
generating a typical operation scene of the power distribution network according to the original topological structure of the feeder line and the operation net rack associated data;
and generating power distribution network problem identification data according to the typical operation scene of the power distribution network, the multi-mode power index data and the operation network frame association data.
According to another aspect of the present invention, there is provided a problem-solving apparatus for a power distribution network, including:
the feeder original topological structure generation module is used for generating a feeder original topological structure of the power distribution network;
the feeder original topological structure simplifying module is used for simplifying the feeder original topological structure to obtain a simplified feeder topological structure;
the multi-mode power index data calculation module is used for calculating multi-mode power index data according to the simplified feeder topological structure; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data;
The power distribution network typical operation scene generation module is used for generating a power distribution network typical operation scene according to the original topological structure of the feeder line and the operation network frame association data;
and the power distribution network problem identification data generation module is used for generating power distribution network problem identification data according to the typical operation scene of the power distribution network, the multi-mode power index data and the operation network frame association data.
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 liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method for problem handling in a power distribution network according to any one of the embodiments 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 execute a method for processing a problem in a power distribution network according to any one of the embodiments of the present invention.
The embodiment of the invention generates the feeder original topological structure of the power distribution network; simplifying the original topological structure of the feeder line to obtain a simplified topological structure of the feeder line; calculating multi-mode power index data according to the simplified feeder topological structure; generating a typical operation scene of the power distribution network according to the original topological structure of the feeder line and the operation net rack associated data; the method comprises the steps of generating power distribution network problem identification data according to a power distribution network typical operation scene, multi-mode power index data and operation network frame associated data, and generating power distribution network typical operation scene according to a feeder original topological structure and operation network frame associated data, so that accuracy and efficiency of power distribution network problem analysis can be improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for processing a problem of a power distribution network according to a first embodiment of the present invention;
fig. 2 is a schematic view of a composition scenario of multi-source power data according to a first embodiment of the present invention;
FIG. 3 is a schematic diagram of a topology according to a first embodiment of the present invention;
fig. 4 is a schematic view of a scenario of generating each topology node of a feeder original topology structure based on a CIM model according to the first embodiment of the present invention;
fig. 5 is a schematic diagram of an exemplary operation scenario of a power distribution network according to a first embodiment of the present invention;
fig. 6 is a flowchart of another method for processing problems in a power distribution network according to the second embodiment of the present invention;
fig. 7 is a statistical diagram of problem identification data under a typical operation scenario of a power distribution network according to a second embodiment of the present invention;
fig. 8 is a schematic structural diagram of a problem handling device for a power distribution network according to a third embodiment of the present invention;
fig. 9 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It is noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of the present invention and in the foregoing figures, 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 or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for processing problems in a power distribution network according to an embodiment of the present invention, where the method may be applicable to a case of analyzing and processing problems in a power distribution network with high accuracy and high efficiency, and the method may be performed by a device for providing examination information, where the device may be implemented by software and/or hardware, and may be generally integrated in an electronic device, where the electronic device may be a terminal device or a server device, and the embodiment of the present invention is not limited to a specific device type of the electronic device. Accordingly, as shown in fig. 1, the method includes the following operations:
s110, generating a feeder original topological structure of the power distribution network.
The feeder line can be a cable line and is used for transmitting signals; the original topology of the feeder of the distribution network can be used to represent the feeder topology nodes as abstract locations for describing the interrelationship between the individual branches and shunts.
Before the original topological structure of the feeder line of the power distribution network is generated, equipment operation data and account data of each terminal system can be collected through different data source interfaces and are integrally stored in a database, specifically, multisource power data can be collected from a dispatching system, a metering system, a power distribution network automation system, a distribution network GIS (Geographic Information System ) system and a power consumption information collection system, a unified equipment account and operation information table is built by taking the regional power distribution network as a basic unit, unique identifiers of equipment such as the feeder line, a platform area and a contact switch of the power distribution network in the multisource system are associated and uniformly managed, and a feeder line information table is generated and integrally stored in the database.
Specifically, a composition scene diagram of multi-source power data can be shown as fig. 2, a large power grid data platform interacts with a GIS system, a metering system and a power distribution network automation system respectively, and the interaction can include 3 steps of data analysis, data association and data storage, wherein the data analysis can be analysis of CIM (Common Information Model, public information model)/XML (Extensible Markup Language ) files derived from the GIS system, related attributes of power distribution equipment are obtained, and the analyzed CIM model data is written into a database through mapping; for data association, the intermediate relation table among the storage identifiers is found according to the rule of the database management hierarchical model and the association of each service data table is realized through the intermediate table; the data storage can be unified by adopting regular expressions to unify the data formats in each table, and unified storage is performed based on a MySQL database, so that data integration is realized.
As an example, the embodiment may parse the CIM/XML file of the GIS system, obtain the topology structure and grid data of the power distribution network, generate the feeder topology table, and write the feeder topology table into the MySQL database.
In an alternative embodiment of the present invention, generating the feeder original topology of the power distribution network may include: acquiring feed line source associated data; determining a feeder topology node according to the feeder source association data, wherein the feeder topology node comprises a feeder, a transformer substation outgoing circuit breaker and a feeder contact point; taking a feeder line as a unit of a feeder line original topological structure, taking a transformer substation outgoing line breaker as a starting point of the feeder line original topological structure, taking a feeder line contact point as an end point of the feeder line original topological structure, and generating each topological node of the feeder line original topological structure by adopting a depth-first search algorithm; and generating a directed graph adjacent linked list according to each topological node to serve as a feeder original topological structure of the power distribution network.
The feeder source association data can be acquired through a MySQL database, and can be multi-source feeder-related power data collected from a dispatching system, a metering system, a distribution network automation system, a GIS system and an electricity consumption information acquisition system.
In this embodiment, the original topology structure of the feeder may take the feeder as a unit of the feeder topology structure, the outgoing circuit breaker of the substation as a start point of the feeder topology structure, and the feeder contact point as an end point of the feeder topology structure, and a depth-first search algorithm is adopted to traverse all power devices of the feeder, obtain device parameters of the line and the station, and generate a topology node corresponding to each connection node. Therefore, a directed graph adjacent linked list is formed, global topology analysis of the feeder is realized, and a feeder topology table is generated and integrated in the MySQL database.
Specifically, the connection of the devices in the CIM model may be illustrated by taking a schematic topological structure shown in fig. 3 as an example, where G1 may represent an engine; BR1-BR5 can be used to represent circuit breakers; BS1-BS5 may be used to represent bus bars; t1 and T2 may be used to represent transformers; further, the electrical connection relationship between the conductive device class and the end point and between the conductive device class and the connection node in the CIM model can be determined through a device-end point-connection node-end point-device, and the end point of G1 to the end point of BR1 can be used as a topology node.
In this embodiment, the flow of generating each topology node of the feeder original topology structure by using the depth-first search algorithm is as follows: firstly, obtaining ID information of conductive equipment, equipment terminals and connection nodes in a feeder line by analyzing CIM/XML files; secondly, acquiring a search starting node (generally a transformer substation outgoing breaker node in a directed adjacent linked list) by traversing the conductive equipment according to the characteristic of unique root node number; thirdly, if the current node has an unviewed adjacent node, randomly accessing one adjacent node; if the current node does not have the non-accessed adjacent node, returning to the parent node of the current node until all nodes of the current communication graph are accessed; finally, when accessing the adjacent node, in order to ensure the correct searching sequence, if the current node equipment type is cable, accessing the terminal head node of the cable which is not accessed preferentially in the next step; and if the tower exists in the non-accessed node of the current node, preferentially accessing the non-accessed tower node.
Specifically, fig. 4 illustrates a schematic view of a scenario in which each topology node of the original topology structure of the feeder is generated based on the CIM model, where the device number, the device type, the branch number, the ingress node, the egress node, and the line model are only used as an example, and are not limited to the embodiment specifically.
S120, simplifying the original topological structure of the feeder line to obtain a simplified topological structure of the feeder line.
In this embodiment, simplifying the original topology of the feeder may include, but is not limited to, deleting and merging topology nodes. The resulting simplified feeder topology may be suitable for various power index types, such as: the power flow calculation module, the reliability calculation module, the power conversion and supply calculation module, the wiring pattern recognition module, the load prediction module and the like are used for constructing a database-based power calculation public module, specifically, the power flow calculation module, the reliability calculation module, the wiring pattern recognition and load prediction module and the like.
In an alternative embodiment of the present invention, simplifying the original topology of the feeder, the obtaining a simplified topology of the feeder may include: performing primary simplification on the original topological structure of the feeder according to the node type of the topological node of the original topological structure of the feeder to obtain a primary simplified topological structure of the feeder; and simplifying the primary simplified feeder topological structure again according to the power index type to obtain the simplified feeder topological structure.
For example, if the current node type is not necessary for power computation (e.g., tower node, cable termination head node, lightning arrester node, etc.), the current node may be deleted and the input nodes and output nodes of all descendant nodes of the current node may be modified, thereby resulting in a primary simplified feeder topology; if the current node type is combinable for power computation (e.g., breaker, disconnector, and distribution transformer nodes), the current node may be deleted and specified attribute values superimposed on the parent node and the input and output nodes of all descendant nodes of the node corrected, resulting in a primary simplified feeder topology.
In this embodiment, simplifying the original topology of the feeder line may have different specific implementation rules for different power index types, such as a power flow calculation module and a reliability calculation module, for example: the tide calculation module mainly follows the following rules when the original topological structure of the feeder line is simplified: merging adjacent overhead lines or cables with the same model between the starting point and the branching point, between the branching point and between the branching point and the ending point, and omitting an electrical connecting wire for entering and exiting a lightning arrester and a station room; deleting switching elements such as a circuit breaker, a disconnecting switch and the like which are closed in a default normally open state, so as to obtain a primary simplified feeder topological structure; deleting towers and cable terminals without electrical properties in the topological structure; and marking public transformation, special transformation and the like to obtain a simplified feeder topological structure.
The following rules are followed in the feed line raw topology simplification of the reliability calculation module: merging adjacent overhead lines or cables with the same model between the starting point and the branching point, between the branching point and between the branching point and the ending point, and omitting an electrical connecting wire for entering and exiting a lightning arrester and a station room; retaining necessary switch types such as circuit breakers, fuses and the like; and deleting towers and cable terminals without electrical properties in the topological structure, and the like, thereby obtaining the simplified feeder topological structure.
S130, calculating multi-mode power index data according to the simplified feeder topological structure; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data.
Wherein the multi-modal power metric data may be metric data characterizing a correlation of the power data; the power flow calculation index data, the reliability calculation index data, the wiring pattern identification index data and the load prediction index data can be used for calculating the simplified feeder topological structure to obtain various power index data of the power distribution network.
According to the embodiment, the multi-mode power index data can be calculated according to the simplified feeder topological structure, so that the identification efficiency of the power distribution network problem can be improved.
In an alternative embodiment of the present invention, if the multi-modal power indicator data is power flow calculation indicator data, calculating the multi-modal power indicator data according to the simplified feeder topology may include: acquiring power flow calculation source associated data; calculating branch transmission power of each branch in the simplified feeder topological structure layer by layer according to the power flow calculation source association data; calculating the voltage of each load node according to the branch transmission power in sequence for each branch; calculating the voltage amplitude correction quantity of each load node according to the voltage of each load node; calculating the maximum value of the node voltage correction according to the voltage amplitude correction of each load node; outputting power flow calculation index data under the condition that the maximum value of the node voltage correction quantity meets the setting condition; and under the condition that the maximum value of the node voltage correction quantity does not meet the setting condition, traversing and calculating the transmission power loss of each branch and the actual transmission power of each branch, and returning to execute the operation of sequentially calculating the voltage of each load node for each branch according to the branch transmission power until the load flow calculation termination condition is met.
The relevant data of the power flow calculation source can be corresponding data required by the power flow calculation obtained by a database, the corresponding data can be feeder initial voltage obtained by a voltage detection system, a user load of a platform area obtained by a metering automation system, line topology and parameters obtained by a feeder topology table and the like.
In this embodiment, 10KV is taken as a basic calculation unit, so as to obtain relevant data of a power flow calculation source, and layer topology nodes: the node association matrix is adopted to represent the connection relation of topological nodes, the root node starts traversing, and the root node is written into the node layering matrix to be used as a first layer node; and then searching nodes which are connected with the root node and are not written into the node hierarchy matrix, writing the searched nodes into the node hierarchy matrix as a second layer … …, and the like until all the nodes are written into the node hierarchy matrix. On the basis, the specific calculation steps of the power flow calculation are as follows:
1. calculating the branch transmission power of each branch layer by utilizing the method (1), wherein the branch transmission power is the load power of a non-connection node plus the branch transmission power taking the non-connection node as a head node:
wherein i and j respectively represent the first node and the last node of the branch; s is S j The initial load of the node j; s is S jk Representing the transmission power of a certain branch including the node j; n represents the number of branches including node j;
2. the branch transmission power of all branches can be obtained by the steps, and the voltage of each load node is obtained from the root node in sequence from the back by using the formula (2) according to the known root node voltage:
Wherein i is a parent node; j is a child node; z is Z ij The impedance of the branch between i and j;
3. calculating a voltage amplitude correction amount of each node by using the formula (3):
ΔU j (m)＝abs[U j (m)-U j (m-1)] (3)
wherein j is a node; m and m-1 are the voltage values of the mth and the mth-1 traversals respectively;
4. calculating maximum value max { DeltaU of node voltage correction amount j (m) and judging whether the setting condition is satisfied based on the maximum value of the node voltage correction amount:
max{ΔU j (m)}<e (4)
where e is the setting accuracy, and equation (4) is applied to calculate whether or not the maximum value of the voltage correction amount between the nodes is smaller than the setting accuracy e. If the setting requirement is met, outputting a load flow calculation result; if the requirements are not met, the following steps are needed to be continued;
5. the node voltage which is not converged is obtained in the step, after the transmission power loss of each branch and the actual transmission power of each branch are calculated through traversing by using the formula (5) and the formula (6), the step 2) is returned, the node voltage is calculated, the convergence judgment of the maximum value of the correction quantity of the node voltage is carried out, and the correction quantity maximum value is converged or the iteration number is out of limit:
S' ij ＝S ij +ΔS ij (6)
the steps and the formulas are combined to obtain the actual transmission power and the transmission current of each branch and the node voltage meeting the convergence condition of the voltage correction quantity.
In an alternative embodiment of the present invention, if the multi-modal power indicator data is reliability calculation indicator data, calculating the multi-modal power indicator data according to the simplified feeder topology may include: acquiring reliability calculation source association data; calculating the normal working time of each grid element according to the reliability calculation source association data; determining a target net rack element with the shortest normal working time according to the normal working time of each net rack element, determining the target net rack element as a fault element, and calculating the fault repair time of the target net rack element; calculating the fault times and fault power failure time of each associated load node according to the target grid frame element; after the simulation times reach a set value, calculating the total power failure times and total power failure time of each load node in the whole simulation period, and calculating reliability calculation index data according to the total power failure times and the total power failure time of each load node; the reliability calculation index data comprises average power failure frequency of the system, average power failure duration of the system and average power failure duration of a user.
Wherein the reliability calculation source association data may be corresponding data required by the database to acquire reliability calculation, and the corresponding data may include, but is not limited to, grid parameters, failure rate lambda of each element i i Failure recovery rate mu i Element state S i Average repair time gamma i Time sequence load of load points of each station area, the number of low-voltage users and the like.
In this embodiment, a non-sequential monte carlo simulation method may be used to perform reliability calculation on the power distribution network, and the specific steps are as follows:
1. acquiring reliability calculation source association data;
2. initializing the simulation times, assuming that each net rack element is independent of each other, sampling each element i by uniformly distributing U (0, 1) to generate random number E i Calculating the normal working time TTF of each element of the net rack by adopting the method (7) i ；
3. Obtaining the element i with the shortest normal working time according to the minimum value of the calculation result of each element in the step 2, determining the element i as a fault element, and calculating the fault repair time TTR according to the formula (8) i ；
4. According to the obtained fault element i, determining the affected degree of each load node through an analysis method based on fault diffusion, namely judging whether the load node has a power failure due to a fault or not and the power failure time length, wherein the power failure time length is determined by factors such as the area of the load node, the switching time length of an isolating switch and a connecting switch and the like;
5. When the simulation times reach the set value, calculating the total power failure times and total power failure duration sigma U (k) of each load node k in the simulation period, and calculating reliability indexes such as average power failure frequency (SAIFI), average power failure duration (SAIDI) and average power failure duration (ASAI) of a system according to formulas (9) - (11):
wherein N is i The number of users for load point i.
In an alternative embodiment of the present invention, if the multi-modal power indicator data is wire pattern recognition indicator data, calculating the multi-modal power indicator data according to the simplified feeder topology may include: determining a wiring tree and establishing a characteristic expression of wiring pattern recognition by each feeder line; and establishing a wiring pattern recognition feature library as wiring pattern recognition index data according to the wiring tree and the feature expression of the wiring pattern recognition of each feeder line.
In this embodiment, the tie switch is an important device in the tie line, and on the basis of topology analysis, the feeder line groups with connection relations are connected to form a junction tree through analysis of the tie switch, and a feature expression for establishing junction pattern recognition for the junction tree and each feeder line is as follows:
C h ＝(s,m,b,l,k,t) (12)
wherein: s is the number of power supplies of the wiring tree to be identified; m is the number of substations in the wiring tree to be identified; b is the number of spare feeder lines in the wiring tree; l is the number of tie lines in the wiring tree; k is the number of sectional switches in the wiring tree; t is the line type of the wiring tree, and t is 0 when the wiring is overhead and 1 when the cable is overhead.
Further, according to the above wiring pattern feature formula, a wiring pattern recognition feature library matched with the wiring pattern feature formula can be established, and the wiring pattern recognition feature library table can be shown in the following table 1 as wiring pattern recognition index data:
table 1 wiring pattern recognition feature library table
The above-described feature expression and recognition result in table 1 are only one example, and do not represent a specific limitation of the present embodiment.
In an alternative embodiment of the present invention, if the multi-modal power indicator data is load prediction indicator data, calculating the multi-modal power indicator data according to the simplified feeder topology may include: generating a first-order accumulation sequence according to the original load sequence; establishing a first-order gray level prediction GM model according to the first-order accumulation sequence; and predicting the electric quantity value by using a first-order gray level prediction GM model as load prediction index data.
The electric quantity prediction method of the power distribution network area and the feeder line mainly comprises the following steps: exponential smoothing, autoregressive-moving average, regression analysis, neural network, and gray system. The electric quantity prediction of the distribution network region transformer area and the feeder line in the engineering is required to follow the principle that modeling is simple and easy to apply, so that the gray system method is selected as a prediction model.
The essence of the gray system theory is that irregular original data are accumulated and generated, and a generated sequence with stronger regularity is obtained and then modeled again. The dynamic model that is often used in power load prediction at present is the prediction model GM (1, 1), i.e. the GM model with only one variable, the first order.
Let the original load sequence be X (0) ＝{x (0) (t), t=1, 2,..n }, for which timeThe intermediate sequences are accumulated once to form a new sequence:
X (1) (t)＝{x (1) (t),t＝1,2,...,n} (13)
the GM (1, 1) model is built by first-order accumulation generation, and the differential equation is as follows:
where a is called the development coefficient of the model, μ is called the coordination coefficient of the model, reflecting the changing relationship between the data.
a and μ can be obtained by the following formula:
the product is obtained through reducing and reducing:
wherein, the liquid crystal display device comprises a liquid crystal display device,is the predicted value of the electric quantity at the future moment.
And S140, generating a typical operation scene of the power distribution network according to the original topological structure of the feeder line and the operation network frame associated data.
The operation grid related data may be grid data related to the power distribution network.
In this embodiment, the power distribution network may accompany periodic peak and valley scenarios during the operation period. Because the timeliness of the distribution network planning on problem diagnosis is low, a typical scene and the time duty ratio thereof in a certain operation time interval can be obtained through the cluster analysis of the distribution network operation scene, and the workload of problem identification is reduced on the basis of representing the distribution network operation characteristics.
According to the method and the device, the identification accuracy of the problems of the power distribution network can be improved by constructing a typical operation scene of the power distribution network suitable for the problem identification.
In an alternative embodiment of the present invention, generating a typical operation scenario of the power distribution network according to the feeder original topology and the operation grid connection data may include: generating a set number of typical operation scene clusters for the distribution network node load curve set by improving a K-means clustering method; determining a time interval of a maximum load scene and a time interval of a minimum load scene according to the typical operation scene cluster; and generating a typical time sequence operation scene according to the time interval of the maximum load scene and the time interval of the minimum load scene, and taking the typical time sequence operation scene as a typical operation scene of the power distribution network.
Wherein, the cluster can divide the load curve into K classes; the maximum load scene can correspond to a sampling time point, and a set number (such as 3 or 5) of sampling time points before and after the sampling time point are selected to form a corresponding time interval; correspondingly, the minimum load scene can correspond to a sampling time point, and a set number of sampling time points before and after the sampling time point are selected to form a corresponding time interval.
In this embodiment, the clustering clusters are the purpose of grouping by gathering similar elements together through similarity, so that the method is an unsupervised learning. The current clustering algorithm can be roughly divided into three types, namely prototype clustering, hierarchical clustering and density clustering, wherein the K-means clustering algorithm is an important method for prototype clustering, and the aim is to divide data points into K class clusters. In order to improve the clustering accuracy of an algorithm on distribution network load curves, the method adopts an improved K-means clustering algorithm, and selects the clustering centers through a wheel disc method, so that K initial clustering curves are separated as far as possible, and the partitioning efficiency of a data set is improved.
Firstly, for a distribution network node load curve set M taking 15min as a sampling interval, randomly selecting a curve as an initial clustering center M i ，i∈[1,K]Calculating the shortest distance between the rest load curve and the existing cluster center according to the formula (18), and using D (m, m i ) A representation; the probability that each curve sample is selected as the next cluster center is then calculated according to equation (19), and the next cluster center of the load curve is selected according to the "roulette method". The above steps are then repeated until K cluster centers are determined. For example, after selecting load curve No. 5 as the initial cluster center, D (m, m i ) And the probability of being selected as the second cluster center is shown in table 2 below:
table 2 probability table
The method of the wheel disc method is to generate a random number between 0 and 1, judge which sum section the random number belongs to, and the load curve serial number corresponding to the section is the selected next cluster center. For example, the sum interval of curve # 2 is [0.2,0.525], and the sum interval of curve # 3 is [0.525,0.65].
The basic flow for improving the K-means cluster analysis operation is as follows:
1. determining a clustering center number K;
2. generating K clustering centers by adopting a roulette algorithm;
3. calculating the distance from each load curve sample m to K clustering centers in the data set, and distributing the distances to the class clusters corresponding to the clustering centers with the minimum distance;
4. For each class cluster m i Recalculating the cluster center
5. Repeating the steps 3 and 4 until the position of the clustering center is not changed, and ending the algorithm.
A schematic diagram of a typical operation scenario of a power distribution network in this embodiment may be shown in fig. 5, where each scenario has a plurality of sampling points, a maximum load scenario may be scenario two, a minimum load scenario may be scenario three, and a typical time sequence operation scenario is generated according to a time interval of the maximum load scenario and a time interval of the minimum load scenario, and is used as a typical operation scenario of the power distribution network.
In the embodiment, the load curve of the distribution network is divided into K classes by a clustering algorithm, so that K-class typical operation scenes representing the load characteristics of the distribution network are obtained. Determining a time interval of a maximum load scene and a time interval of a minimum load scene according to the typical operation scene cluster; and generating a typical time sequence operation scene according to the time interval of the maximum load scene and the time interval of the minimum load scene, wherein the typical time sequence operation scene is used as a typical operation scene of the power distribution network, so that the identification efficiency of the power distribution network problem can be improved.
And S150, generating power distribution network problem identification data according to typical operation scenes, multi-mode power index data and operation network frame association data of the power distribution network.
Wherein, can construct the distribution network typical operation scene suitable for problem identification based on the database information. When an identification algorithm corresponding to each type of power distribution network problem identification data is generated, determining database operation data and network frame topology data to be extracted, and calling the public calculation module to complete programmed power distribution network problem diagnosis and identification, so that an identification module of a specific problem is built.
In an alternative embodiment of the present invention, generating the power distribution network problem identification data from the power distribution network typical operation scenario, the multi-modal power index data, and the operation grid connection data may include: according to the operation grid frame associated data, counting the operation state of the power equipment in a typical operation scene of the power distribution network; and generating the problem identification data of the power distribution network according to the running state of the power equipment and the multi-mode power index data.
In this embodiment, a programmed recognition and diagnosis algorithm is formed for each type of power distribution network problem, and accurate problem recognition can be realized by calling operation data, ledger data and network frame data in a database and calling a public calculation module to mine weak links of the operation of the distribution network and the network frame.
According to the technical scheme, an original feeder topological structure of the power distribution network is generated; simplifying the original topological structure of the feeder line to obtain a simplified topological structure of the feeder line; calculating multi-mode power index data according to the simplified feeder topological structure; generating a typical operation scene of the power distribution network according to the original topological structure of the feeder line and the operation net rack associated data; the method comprises the steps of generating power distribution network problem identification data according to a power distribution network typical operation scene, multi-mode power index data and operation network frame associated data, and generating power distribution network typical operation scene according to a feeder original topological structure and operation network frame associated data, so that accuracy and efficiency of power distribution network problem analysis can be improved.
Example two
Fig. 6 is a flowchart of another method for processing a problem of a power distribution network according to the second embodiment of the present invention. Accordingly, as shown in fig. 6, the method of this embodiment may include:
s210, collecting multi-source power data of each terminal system through different data source interfaces, and integrating and storing the multi-source power data in a Mysql database.
The multi-source power data may include power device operational data and ledger data, among others.
The embodiment can acquire the equipment operation data and the standing book data of each terminal system from a metering system, a distribution network automation system, a marketing system, a production system, a voltage detection system and a GIS system, and integrally store the equipment operation data and the standing book data in a Mysql database.
S220, analyzing CIM/XML files in the GIS system to obtain topology structures and network frame data of the distribution network, generating a feeder line topology table, and writing the feeder line topology table into a database.
S230, the original topological structure is simplified and a public calculation module is built.
In this embodiment, the common computing module may include a power flow computing module, a reliability computing module, a power conversion computing module, a wiring pattern recognition and load prediction module, and the like.
S240, constructing a distribution network typical operation scene suitable for problem identification based on database information.
S250, extracting corresponding database operation data and network frame data according to an identification algorithm of each type of problem, calling a public calculation module to complete programmed distribution network problem diagnosis and identification, and mining weak links of operation of network frames and equipment of the distribution network.
In this embodiment, the power distribution network problem may include an operation problem and a grid problem, where the operation problem may include a feeder overload problem, a distribution transformer area voltage failure problem, and the operation problem may be integrated in a feeder overload problem identification module and a distribution transformer overload problem identification module.
Optionally, for the feeder heavy overload problem, the judgment basis is as follows: and continuously existence of five or more continuous times in a typical operation scene, wherein the feeder load rate is more than 80%, the average value of the load rates is less than 100%, and the line is judged to be heavily overloaded. The method comprises the steps of obtaining a feeder GISID (Geographic Information System Identity, geographic information identifier), a feeder name and a measuring point identifier from a database feeder information table; acquiring current and voltage of a measuring point by a database metering system according to the feeder line measuring point identification; and obtaining line safety flow by a feeder line information table and a 10KV line accident current limiting table in the database, and calculating the feeder line load rate. And judging whether the feeder has a heavy load problem according to the reference problem until all feeders of the feeder information table are traversed.
Wherein, the feeder load rate can be calculated based on the following formula:
optionally, for the feeder pre-overload problem, the judgment basis is as follows: the maximum load rate predicted value of the typical operation scene exceeds 100% for a period of time in the future, and the line is judged to be overloaded. The method comprises the steps of obtaining a feeder GISID, a feeder name and a measuring point identifier from a database feeder information table; inquiring a load extremum of a typical running time by a metering system according to a feeder line measuring point mark, calling a load prediction module, and predicting the maximum load rate of a feeder line in a future period of time; and obtaining line safety flow by a feeder information table and a 10KV line accident current limiting table, and calculating the feeder load rate. And judging whether the feeder has the pre-overload problem according to the reference problem until all feeders of the feeder information table are traversed.
Optionally, for the problem of overload of the distribution transformer, the judgment basis is that the load rate of the transformer is greater than 80% at three or more continuous moments in a typical operation scene, and the load rate of the transformer at least at one moment is not greater than 100%, so as to judge that the distribution transformer is overloaded. The method comprises the steps of obtaining a feeder GISID and a feeder name from a database feeder information table, obtaining a device ID and a user number of the feeder transformer according to a database feeder topology table, and inquiring the transformer load rate through a database metering system. And judging whether the distribution transformer has a heavy overload problem according to the reference problem until all the distribution transformers of the feeder information table are traversed.
Optionally, for the problem of pre-overload of the distribution transformer, judging that the predicted value of the maximum load rate exceeds 100% for a period of time in the future of a typical operation scene according to the judgment basis, and judging that the distribution transformer is pre-overloaded. The method comprises the steps of obtaining a feeder GISID and a feeder name from a database feeder information table, obtaining a device ID and a user number of the feeder transformer according to a database feeder topology table, inquiring a platform load extremum at a typical running time through a metering system, calling a load prediction module, and predicting the maximum load rate of a period of time in the future of distribution transformer. And judging whether the distribution transformer has the pre-overload problem according to the reference problem until all distribution transformer data of the feeder line information table are traversed.
Optionally, for the problem of disqualification of the voltage of the distribution transformer area, judging that the voltage of the distribution transformer area is disqualification according to the proportion of low-voltage users with lower or higher voltage of the distribution transformer in a typical operation scene exceeding 20 percent. The method comprises the steps of obtaining a feeder GISID and a feeder name from a database feeder information table, obtaining a device ID and a user number of the feeder transformer according to a database feeder topology table, inquiring the voltage qualification rate of a low-voltage user of a transformer area through a database metering system, and calculating the proportion of the low-voltage user with higher or lower distribution voltage. And judging whether the distribution transformer has the problem of unqualified distribution transformer area voltage according to the reference problem until all distribution transformers of the feeder line information table are traversed.
In this embodiment, the net rack problems mainly include the problems of connection between the feeder and the bus, incapability of transferring the feeder, neck clamping of the feeder, atypical wiring, large branches of the feeder, and the like. The grid type problems described above may be integrated on feeder line non-rotatable identification modules, atypical wiring modules, and the like. When the grid type problems are processed, the power supply path and the grid data of the distribution network under a typical operation scene can be obtained according to the operation and the account data in the database and by combining the feeder line topology table of the database, the related public calculation module is called, and the identification of the distribution network problems is completed by combining the programmed identification flow of the various problems.
Optionally, for the atypical wiring problem, acquiring the relevant information in the feeder GISID, the feeder name and the feeder topology table from the database feeder information table, calling a wiring pattern recognition module, and judging whether the atypical wiring problem exists in the feeder.
Optionally, for the problem that the feeder is not rotatable, acquiring the feeder GISID, the feeder name and the measurement electric identifier from a database feeder information table, and acquiring the IDs and the measurement point identifiers of the distribution transformer and the connecting line from a database feeder topology table. And (3) calling a power transfer calculation module, calculating whether the tie line can realize power transfer when the outlet switch of the feeder substation fails or is in a planned outage, and judging whether the feeder has an unrepeatable problem. On the basis, if the reason that the connecting line can not transfer the load of the feeder line is overload at the connecting part, the feeder line is judged to have the problem of neck blocking.
Optionally, for the problem of large feeder branches, the judgment basis is that the number of medium-voltage transformer areas under the first branch is more than or equal to 20 or the number of low-voltage transformer areas under the first branch is more than or equal to 2000. The method comprises the steps of obtaining a feeder GISID and a feeder name from a database feeder information table, obtaining the IDs of all branch lines of a feeder and the equipment IDs and user numbers of transformers of the feeder from a database feeder topology table, inquiring the number of low-voltage users of a transformer area through a metering system, and judging whether the large branch problem of the feeder exists according to a reference problem judgment basis.
Optionally, for the connection problem of the feeder and the bus, acquiring the feeder GISID and the feeder name from a database feeder information table, acquiring the connection switch and the corresponding connection line ID from a database feeder topology table, then inquiring the transformer substation and the bus of the connection line through the feeder information table, and judging that the feeder has the connection problem of the same bus if the feeder is identical with the transformer substation and the bus of the connection line.
In this embodiment, under the condition of determining the operation problem of the power distribution network, the accurate identification of the power distribution network problem can be completed, the problem identification data in the typical operation scene of the power distribution network can be summarized and displayed in the form of a statistical chart, and specifically, the statistical chart of the problem identification data in the typical operation scene of the power distribution network can be shown as 7.
According to the method, the system and the device, the typical operation scene of the distribution network suitable for problem identification is constructed based on database information, corresponding database operation data and network frame data are extracted according to an identification algorithm of each type of problem, a public calculation module is called to complete programmed distribution network problem diagnosis and identification, and weak links of the operation of the network frame and equipment of the distribution network can be mined, so that accuracy and efficiency of analysis of the problems of the distribution network can be improved.
Example III
Fig. 8 is a schematic structural diagram of problem handling in a power distribution network according to a third embodiment of the present invention, as shown in fig. 8, where the apparatus includes: a feeder original topology generating module 310, a feeder original topology simplifying module 320, a multi-mode power index data calculating module 330, a distribution network typical operation scene generating module 340 and a distribution network problem identification data generating module 350, wherein:
a feeder original topology generating module 310, configured to generate a feeder original topology of the power distribution network;
a feeder original topology simplification module 320, configured to simplify the feeder original topology, so as to obtain a simplified feeder topology;
a multi-modal power index data calculation module 330, configured to calculate multi-modal power index data according to the simplified feeder topology; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data;
The typical operation scene generation module 340 of the power distribution network is configured to generate a typical operation scene of the power distribution network according to the original topology structure of the feeder line and the related data of the operation network frame;
the power distribution network problem identification data generating module 350 is configured to generate power distribution network problem identification data according to the typical operation scenario of the power distribution network, the multi-mode power index data and the operation network frame association data.
Optionally, the feeder original topology generating module 310 is specifically configured to: acquiring feed line source associated data;
determining a feeder topology node according to the feeder source association data, wherein the feeder topology node comprises a feeder, a transformer substation outgoing circuit breaker and a feeder contact point; taking the feeder line as a unit of the original topology structure of the feeder line, taking the outgoing circuit breaker of the transformer substation as a starting point of the original topology structure of the feeder line, taking the contact point of the feeder line as an ending point of the original topology structure of the feeder line, and generating each topology node of the original topology structure of the feeder line by adopting a depth-first search algorithm; and generating a directed graph adjacent linked list according to each topological node to serve as a feeder original topological structure of the power distribution network.
Optionally, the multi-mode power index data calculation module is specifically configured to: performing primary simplification on the original topological structure of the feeder according to the node type of the topological node of the original topological structure of the feeder to obtain a primary simplified topological structure of the feeder;
And simplifying the primary simplified feeder topological structure again according to the power index type to obtain the simplified feeder topological structure.
Optionally, if the multi-modal power indicator data is the power flow calculation indicator data, the multi-modal power indicator data calculation module 330 is specifically configured to: acquiring power flow calculation source associated data; calculating branch transmission power of each branch in the simplified feeder topological structure layer by layer according to the tide calculation source association data; calculating the voltage of each load node for each branch in sequence according to the branch transmission power; calculating the voltage amplitude correction quantity of each load node according to the voltage of each load node; calculating the maximum value of the node voltage correction according to the voltage amplitude correction of each load node; outputting the power flow calculation index data under the condition that the maximum value of the node voltage correction quantity meets the setting condition; and under the condition that the maximum value of the node voltage correction quantity does not meet the setting condition, traversing and calculating the transmission power loss of each branch and the actual transmission power of each branch, and returning to execute the operation of sequentially calculating the voltage of each load node for each branch according to the branch transmission power until the load flow calculation termination condition is met.
Optionally, if the multi-modal power indicator data is the reliability calculation indicator data, the multi-modal power indicator data calculation module 330 is specifically configured to: acquiring reliability calculation source association data; calculating the normal working time length of each grid element according to the reliability calculation source association data; determining a target net rack element with the shortest normal working time according to the normal working time of each net rack element, and calculating the fault repair time of the target net rack element; calculating the fault times and fault power failure time of each associated load node according to the target grid frame element; calculating the total power failure times and total power failure time of each load node in the whole simulation period, and calculating the reliability calculation index data according to the total power failure times and the total power failure time of each load node; the reliability calculation index data comprises average power failure frequency of the system, average power failure duration of the system and average power failure duration of a user.
Optionally, if the multi-mode power indicator data is the wiring mode identification indicator data, the multi-mode power indicator data calculating module 330 is specifically configured to: determining a wiring tree and establishing a characteristic expression of wiring pattern recognition by each feeder line; and establishing a wiring pattern recognition feature library as the wiring pattern recognition index data according to the wiring tree and the feature expression of the wiring pattern recognition established by each feeder line.
Optionally, if the multi-modal power indicator data is the load prediction indicator data, the multi-modal power indicator data calculation module 330 is specifically configured to: generating a first-order accumulation sequence according to the original load sequence; establishing a first-order gray level prediction GM model according to the first-order accumulation sequence; and predicting an electric quantity value through the first-order gray level prediction GM model to serve as the load prediction index data.
Optionally, the typical operation scene generation module of the power distribution network is specifically configured to: generating a set number of typical operation scene clusters for the distribution network node load curve set by improving a K-means clustering method; determining a time interval of a maximum load scene and a time interval of a minimum load scene according to the typical operation scene cluster; and generating a typical time sequence operation scene according to the time interval of the maximum load scene and the time interval of the minimum load scene, and taking the typical time sequence operation scene as the typical operation scene of the power distribution network.
Optionally, the power distribution network problem identification data generation module is specifically configured to: counting the operation states of the power equipment in the typical operation scene of the power distribution network according to the operation grid frame association data; and generating the power distribution network problem identification data according to the running state of the power equipment and the multi-mode power index data.
The problem processing device of the power distribution network can execute the problem processing method of the power distribution network provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. Technical details which are not described in detail in the present embodiment can be referred to the method for processing the problem of the power distribution network provided in any embodiment of the present application.
Since the problem processing apparatus of the power distribution network described above is an apparatus capable of executing the problem processing method of the power distribution network in the embodiment of the present application, based on the problem processing method of the power distribution network described in the embodiment of the present application, those skilled in the art can understand the specific implementation manner of the problem processing apparatus of the power distribution network in the embodiment of the present application and various modifications thereof, so how to implement the problem processing method of the power distribution network in the embodiment of the present application by the problem processing apparatus of the power distribution network will not be described in detail herein. The device adopted by the method for processing the problems of the power distribution network in the embodiment of the application belongs to the scope of protection required by the application as long as the person skilled in the art implements the method.
Example IV
Fig. 9 shows a schematic diagram of an electronic device 10 that may be used to implement an embodiment of the application. 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 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 applications described and/or claimed herein.
As shown in fig. 9, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate 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 RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various 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, etc.; 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 specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as a problem-handling method for a power distribution network.
In some embodiments, a problem-solving method of a power distribution network may be implemented as a computer program, which is tangibly embodied on a computer-readable storage medium, such as the 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 the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of a method for problem-solving a power distribution network as described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform a problem-handling method of the power distribution network in any other suitable way (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On 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, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out 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 implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the 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. The 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 portable 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) through which a user can 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 may 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 input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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. The client and server are typically 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 hosts and VPS service are overcome.
Claims (12)
1. A method for processing problems in a power distribution network, comprising:
generating a feeder original topological structure of the power distribution network;
simplifying the original topological structure of the feeder line to obtain a simplified topological structure of the feeder line;
calculating multi-mode power index data according to the simplified feeder topological structure; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data;
generating a typical operation scene of the power distribution network according to the original topological structure of the feeder line and the operation net rack associated data;
and generating power distribution network problem identification data according to the typical operation scene of the power distribution network, the multi-mode power index data and the operation network frame association data.
2. The method of claim 1, wherein generating the feeder original topology of the power distribution network comprises:
acquiring feed line source associated data;
determining a feeder topology node according to the feeder source association data, wherein the feeder topology node comprises a feeder, a transformer substation outgoing circuit breaker and a feeder contact point;
taking the feeder line as a unit of the original topology structure of the feeder line, taking the outgoing circuit breaker of the transformer substation as a starting point of the original topology structure of the feeder line, taking the contact point of the feeder line as an ending point of the original topology structure of the feeder line, and generating each topology node of the original topology structure of the feeder line by adopting a depth-first search algorithm;
And generating a directed graph adjacent linked list according to each topological node to serve as a feeder original topological structure of the power distribution network.
3. The method of claim 1, wherein the simplifying the original topology of the feeder to obtain a simplified feeder topology comprises:
performing primary simplification on the original topological structure of the feeder according to the node type of the topological node of the original topological structure of the feeder to obtain a primary simplified topological structure of the feeder;
and simplifying the primary simplified feeder topological structure again according to the power index type to obtain the simplified feeder topological structure.
4. The method of claim 1, wherein if the multi-modal power indicator data is the power flow calculation indicator data, the calculating multi-modal power indicator data from the simplified feeder topology comprises:
acquiring power flow calculation source associated data;
calculating branch transmission power of each branch in the simplified feeder topological structure layer by layer according to the tide calculation source association data;
calculating the voltage of each load node for each branch in sequence according to the branch transmission power;
calculating the voltage amplitude correction quantity of each load node according to the voltage of each load node;
Calculating the maximum value of the node voltage correction according to the voltage amplitude correction of each load node;
outputting the power flow calculation index data under the condition that the maximum value of the node voltage correction quantity meets the setting condition;
and under the condition that the maximum value of the node voltage correction quantity does not meet the setting condition, traversing and calculating the transmission power loss of each branch and the actual transmission power of each branch, and returning to execute the operation of sequentially calculating the voltage of each load node for each branch according to the branch transmission power until the load flow calculation termination condition is met.
5. The method of claim 1, wherein if the multi-modal power indicator data is the reliability calculation indicator data, the calculating multi-modal power indicator data from the simplified feeder topology comprises:
acquiring reliability calculation source association data;
calculating the normal working time length of each grid element according to the reliability calculation source association data;
determining a target net rack element with the shortest normal working time according to the normal working time of each net rack element, and calculating the fault repair time of the target net rack element;
Calculating the fault times and fault power failure time of each associated load node according to the target grid frame element;
calculating the total power failure times and total power failure time of each load node in the whole simulation period, and calculating the reliability calculation index data according to the total power failure times and the total power failure time of each load node;
the reliability calculation index data comprises average power failure frequency of the system, average power failure duration of the system and average power failure duration of a user.
6. The method of claim 1, wherein if the multi-modal power indicator data is the wiring pattern identification indicator data, the calculating the multi-modal power indicator data from the simplified feeder topology comprises:
determining a wiring tree and establishing a characteristic expression of wiring pattern recognition by each feeder line;
and establishing a wiring pattern recognition feature library as the wiring pattern recognition index data according to the wiring tree and the feature expression of the wiring pattern recognition established by each feeder line.
7. The method of claim 1, wherein if the multi-modal power indicator data is the load prediction indicator data, the calculating multi-modal power indicator data from the simplified feeder topology comprises:
Generating a first-order accumulation sequence according to the original load sequence;
establishing a first-order gray level prediction GM model according to the first-order accumulation sequence;
and predicting an electric quantity value through the first-order gray level prediction GM model to serve as the load prediction index data.
8. The method of claim 1, wherein generating a typical operation scenario of the power distribution network from the feeder original topology and the operation grid connection data comprises:
generating a set number of typical operation scene clusters for the distribution network node load curve set by improving a K-means clustering method;
determining a time interval of a maximum load scene and a time interval of a minimum load scene according to the typical operation scene cluster;
and generating a typical time sequence operation scene according to the time interval of the maximum load scene and the time interval of the minimum load scene, and taking the typical time sequence operation scene as the typical operation scene of the power distribution network.
9. The method of claim 1, wherein the generating the power distribution network problem identification data from the power distribution network typical operational scenario, the multi-modal power index data, and the operational grid association data comprises:
counting the operation states of the power equipment in the typical operation scene of the power distribution network according to the operation grid frame association data;
And generating the power distribution network problem identification data according to the running state of the power equipment and the multi-mode power index data.
10. A problem-handling device for a power distribution network, comprising:
the feeder original topological structure generation module is used for generating a feeder original topological structure of the power distribution network;
the feeder original topological structure simplifying module is used for simplifying the feeder original topological structure to obtain a simplified feeder topological structure;
the multi-mode power index data calculation module is used for calculating multi-mode power index data according to the simplified feeder topological structure; the multi-mode power index data comprises power flow calculation index data, reliability calculation index data, wiring mode identification index data and load prediction index data;
the power distribution network typical operation scene generation module is used for generating a power distribution network typical operation scene according to the original topological structure of the feeder line and the operation network frame association data;
and the power distribution network problem identification data generation module is used for generating power distribution network problem identification data according to the typical operation scene of the power distribution network, the multi-mode power index data and the operation network frame association data.
11. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the problem-solving method of the power distribution network according to any one of claims 1-9.
12. A computer storage medium, characterized in that the computer readable storage medium stores computer instructions for causing a processor to execute the problem-solving method of the distribution network according to any one of claims 1 to 9.
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