CN117879162A - Method, device, equipment and storage medium for determining distribution automation coverage - Google Patents
Method, device, equipment and storage medium for determining distribution automation coverage Download PDFInfo
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Abstract
The application relates to a method, a device, equipment and a storage medium for determining distribution automation coverage. The method comprises the following steps: according to the power grid topology data model, carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units to obtain a topology analysis result of each feeder line in the target power grid; sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in a target power grid; collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of nodes with various collection attributes in the target power grid; and determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid. By adopting the method, the analysis accuracy of the distribution automation coverage can be improved.
Description
Technical Field
The present disclosure relates to the field of power electronics technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining power distribution automation coverage.
Background
In a power system, determining the effective coverage condition of power distribution automation plays an important role in the operation and management of the power distribution system, and can improve the power supply reliability, the power grid operation efficiency, the intelligent management and the maintainability, thereby being beneficial to improving the operation and management level of the power distribution system.
In the related art, the distribution automation effective coverage condition is usually determined by manually carrying out statistical analysis on data such as operation accounts, and lacks systematic analysis display. Subjective factors may exist in manual statistical analysis, and therefore analysis accuracy of distribution automation coverage is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a method, an apparatus, a device, and a storage medium for determining a distribution automation coverage, which can improve the analysis accuracy of the distribution automation coverage.
In a first aspect, the present application provides a method of determining power distribution automation coverage. The method comprises the following steps:
according to a power grid topology data model, carrying out dynamic topology analysis on a target power grid by taking a feeder line as a unit to obtain a topology analysis result of each feeder line in the target power grid;
Sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid;
collecting the stored topology analysis results according to a data collection processing rule to obtain collection data of nodes with various collection attributes in the target power grid;
and determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
In one embodiment, the performing dynamic topology analysis on the target power grid by using the feeder line as a unit according to the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid includes:
filtering a preset influence factor in analysis conditions corresponding to the target power grid;
and carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the filtered analysis conditions and the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
In one embodiment, the impact factor includes at least one of the following information: splicing information of the target power grid, outage information of the target power grid and overhaul information of the target power grid.
In one embodiment, the sequentially storing the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid includes:
searching a root feeder section of the target power grid from a feeder line on the side to a contact point by using a distribution network operation control system, and determining a trunk path and a branch path of the feeder line in the target power grid, wherein the branch path comprises a single radiation line;
identifying a head switch and a tie switch of a trunk path of the feeder line, and identifying a head switch of a branch path of the feeder line;
and sequentially storing the topology analysis result of each feeder line according to the identifiers in the trunk path and the branch path of the feeder line.
In one embodiment, the aggregation attribute includes a location attribute, a self-coverage attribute, an asset attribute, and a contact attribute of the line;
the position attribute of the line corresponds to a trunk node and a branch node, the self-configuration coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
In one embodiment, the determining, in a target analysis dimension, an analysis result of the distribution automation coverage condition of the target power grid according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid includes:
according to the data statistics analysis rule, determining coverage standard data corresponding to each node respectively in the target analysis dimension;
and determining an analysis result of the distribution automation coverage condition of the target power grid according to the coverage standard data respectively corresponding to each node in the target analysis dimension and the aggregation data of the nodes corresponding to the multiple aggregation attributes.
In a second aspect, the present application also provides a device for determining power distribution automation coverage. The device comprises:
the topology analysis module is used for carrying out dynamic topology analysis on a target power grid by taking a feeder line as a unit according to a power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid;
the storage module is used for sequentially storing the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid;
The collecting module is used for collecting the stored topology analysis results according to the data collecting processing rule to obtain collecting data of the nodes with various collecting attributes in the target power grid;
and the coverage analysis module is used for determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
In one embodiment, the topology analysis module is specifically configured to filter a preset influence factor in an analysis condition corresponding to the target power grid; and carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the filtered analysis conditions and the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
In one embodiment, the impact factor includes at least one of the following information: splicing information of the target power grid, outage information of the target power grid and overhaul information of the target power grid.
In one embodiment, the storage module is specifically configured to use a distribution network operation control system to search a connection point from a root feeder segment carried by a local side feeder line to the target power grid, and determine a trunk path and a branch path of the feeder line in the target power grid, where the branch path includes a single radiation line; identifying a head switch and a tie switch of a trunk path of the feeder line, and identifying a head switch of a branch path of the feeder line; and sequentially storing the topology analysis result of each feeder line according to the identifiers in the trunk path and the branch path of the feeder line.
In one embodiment, the aggregation attribute includes a location attribute, a self-coverage attribute, an asset attribute, and a contact attribute of the line;
the position attribute of the line corresponds to a trunk node and a branch node, the self-configuration coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
In one embodiment, the coverage analysis module is specifically configured to determine coverage standard data corresponding to each node in the target analysis dimension according to the data statistics analysis rule; and determining an analysis result of the distribution automation coverage condition of the target power grid according to the coverage standard data respectively corresponding to each node in the target analysis dimension and the aggregation data of the nodes corresponding to the multiple aggregation attributes.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor implementing the method for determining distribution automation coverage of the first aspect when the processor executes the computer program.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the method for determining distribution automation coverage of the first aspect described above.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the method for determining distribution automation coverage of the first aspect described above.
According to the method, the device, the equipment and the storage medium for determining the distribution automation coverage, firstly, according to the power grid topology data model, dynamic topology analysis is carried out on a target power grid by taking feeder lines as units, and the topology analysis result of each feeder line in the target power grid is obtained. And secondly, sequentially storing the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid. And thirdly, collecting the stored topology analysis result according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid. And finally, determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid. The analysis and result storage of the feeder trunk path and the branch path are realized by utilizing dynamic topology analysis, and then the division of nodes corresponding to various gathering attributes is realized by data gathering.
Drawings
Fig. 1 is an application environment diagram of a method for determining power distribution automation coverage according to an embodiment of the present application;
fig. 2 is a flow chart of a method for determining coverage of power distribution automation according to an embodiment of the present application;
FIG. 3 is a flow chart of another method for determining power distribution automation coverage provided in an embodiment of the present application;
fig. 4 is a flow chart of another method for determining power distribution automation coverage according to an embodiment of the present application;
fig. 5 is a flow chart of another method for determining power distribution automation coverage according to an embodiment of the present application;
fig. 6 is a block diagram of a power distribution automation coverage determining device according to an embodiment of the present application;
fig. 7 is an internal structure diagram of a computer device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The method for determining the power distribution automation coverage, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server.
When it is desired to determine a distribution automation coverage situation, a user may send a processing request to the server 104 through the terminal 102. The server 104 firstly performs dynamic topology analysis on the target power grid by taking the feeder lines as units according to the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid. And secondly, the server sequentially stores the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid. Thirdly, the server 104 performs aggregation on the stored topology analysis results according to the data aggregation processing rule to obtain aggregation data of nodes with multiple aggregation attributes in the target power grid. Finally, the server 104 determines an analysis result of the distribution automation coverage condition of the target power grid in the target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid. The server 104 may send the analysis result of the distribution automation coverage to the terminal 102, so that the terminal 102 displays the analysis result of the distribution automation coverage.
The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices, and portable wearable devices, where the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In one embodiment, as shown in fig. 2, a method for determining coverage of power distribution automation is provided, and an example that the method is applied to the server in fig. 1 is described, including S201-S204:
s201, according to the power grid topology data model, carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units to obtain a topology analysis result of each feeder line in the target power grid.
In the application, when a user needs to determine the distribution automation coverage condition, a processing request can be sent to a server through a terminal device. The server can carry out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the power grid topology data model, and a topology analysis result of each feeder line in the target power grid is obtained.
The power grid topology data model can be a main-distribution integrated model and comprises topology data related to a main-distribution transformer substation and a distribution transformer substation. The target power grid may be a power grid that is automatically covered by the power distribution to be analyzed. The feeder may be a power line supplying power from a substation or distribution substation to a consumer, which may be a high voltage transmission line or a low voltage distribution line.
In some embodiments, the server may map the target power grid to the data model by using the power grid topology data model as a unit of a feeder line, and perform topology calculation on the mapped data model, and perform trunk path analysis and branch path analysis based on the calculation result, so as to obtain a topology analysis result of each feeder line in the target power grid.
In some embodiments, when the server performs dynamic topology analysis on the target power grid by using the feeder lines as a unit, a preset influence factor may be filtered in an analysis condition corresponding to the target power grid, and then, according to the filtered analysis condition and the power grid topology data model, the server performs dynamic topology analysis on the target power grid by using the feeder lines as a unit to obtain a topology analysis result of each feeder line in the target power grid.
It should be understood that embodiments of the present application are not limited to influencing factors, which in some embodiments include at least one of the following information: splicing information of a target power grid, outage information of the target power grid and overhaul information of the target power grid. The splicing information is used for representing the connection relation between the main transmission line and the auxiliary or standby transmission line.
In the method, when dynamic topology analysis is carried out by taking the feeder lines as a unit, the influence factors of filtering splicing information, power failure, maintenance on the topology analysis and the like are considered, so that the topology analysis can be ensured to cover all the feeder lines.
S202, sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid.
In this step, after the server obtains the topology analysis result of each feeder line in the target power grid, the server may sequentially store the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid.
The main path is a main power supply main line in a target power grid, is usually connected with a main power station or a power substation and is responsible for transmitting electric energy to each important load center, and is usually composed of a high-voltage power transmission line, so that the main path has larger power transmission capacity and longer transmission distance. The branch path is a secondary line separated from the main path in the target power grid and used for supplying power to a secondary load or a specific area, and the branch path usually consists of a middle-low-voltage distribution line, so that the power transmission capacity is small, and the transmission distance is relatively short.
It should be understood that, in the embodiments of the present application, how to sequentially store the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid is not limited, in some embodiments, the server may first use the distribution network operation control system to search the target power grid from the root feeder line segment carried by the feeder line on the home side to the contact point, and determine the trunk path and the branch path of the feeder line in the target power grid, where the branch path includes a single radiation line. The server may then identify the head-end switch and the tie-switch of the backbone path of the feeder and identify the head-end switch of the branch path of the feeder. Finally, the server may store the topology analysis results of each feeder in sequence according to the identifiers in the trunk path and the branch path of the feeder.
The distribution network operation control system (Operations and Control System, OCS) is a software system for operation and control of the power distribution network, and provides functions of automatic operation control, fault detection, fault recovery and the like through monitoring and managing information of equipment, lines, loads and the like of the power distribution network in real time. In the application, the searching of the trunk path and the branch path can be realized through the distribution network operation control system.
For example, in the searching process of the trunk path and the branch path, if a single radiation line is searched, the single radiation line may be incorporated into the branch path.
Illustratively, the identification of the trunk path of the feeder line may be implemented by identifying the head-end switch and the tie-switch of the trunk path. For the same backbone path device identification, the identification number may be incremented starting from 1. Illustratively, the identification of the branch path of the feeder line may be implemented by identifying a head-end switch of the branch path. For the same branch path device identification, the identification number is incremented from 1. After the identification is completed, the topology analysis result of each feeder line can be stored according to the trunk path and the branch path based on the identification and provided for subsequent analysis.
And S203, collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid.
In this step, after sequentially storing the topology analysis result of each feeder line according to the trunk path and branch path of the feeder line in the target power grid, the server may collect the stored topology analysis result according to the data collection processing rule, to obtain collection data of nodes with multiple collection attributes in the target power grid.
The data collection processing rule is used for indicating collection data corresponding to different collection attributes.
Illustratively, the collection attributes include location attributes, self-overlay attributes, asset attributes, and contact attributes of the line on which they are located. Correspondingly, the data collection processing rule can indicate that the position attribute of the line corresponds to a trunk node and a branch node, the self-coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
The node can be 1 station room or 1 overhead switch. At least 1 switch is a three-remote or overhead switch in a station room corresponding to the three-remote node. At least 1 switch is a two-remote or overhead switch in the station room corresponding to the two-remote node. The connection node may be a node where the trunk path connection switch is located. The segment node may be a node where a trunk path segment switch is located.
It should be understood that, in the embodiment of the present application, the aggregation data of the nodes with multiple aggregation properties in the target power grid obtained by aggregating the stored topology analysis results is not limited, and in some embodiments, the number of the nodes with each aggregation property may be counted separately based on the stored topology analysis results, and the number of the nodes with the aggregation property may be used as the aggregation data.
S204, determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
In the step, when the server performs aggregation on the stored topology analysis results according to the data aggregation processing rule, after obtaining the aggregation data of the nodes with multiple aggregation attributes in the target power grid, the analysis result of the distribution automation coverage condition of the target power grid can be determined in the target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
It should be understood that, in the embodiments of the present application, there is no limitation on how to determine the analysis result of the distribution automation coverage situation of the target power grid in the target analysis dimension, and in some embodiments, the server may determine, according to the data statistics analysis rule, the coverage standard data corresponding to each node in the target analysis dimension. And then, the server determines an analysis result of the distribution automation coverage condition of the target power grid according to the coverage standard data corresponding to each node in the target analysis dimension and the aggregation data of the nodes corresponding to the multiple aggregation attributes.
The data statistics analysis rule may indicate coverage standard data corresponding to various required line numbers. The line number indicated by the data statistics analysis rule can comprise an effective coverage line number, a self-healing operation required line number, a line number required by a point selection, a line number required to be effectively covered, and the like. For example, the coverage standard data corresponding to the number of the effective coverage lines may include that the contact nodes are three remote nodes, and the number of the trunk three remote nodes is greater than or equal to 2. The coverage standard data corresponding to the number of the self-healing operation required lines can comprise three remote communication nodes and the number of the trunk three remote communication nodes is more than or equal to 2. The coverage standard data corresponding to the line number required by the selection point can comprise three teles covered by the head end node, three teles covered by the contact node, and three tele coverage rates of trunk nodes in the A+ type and non-A+ type power supply areas are respectively larger than the target coverage rate. The coverage criteria data corresponding to the number of lines to be covered may include manual maintenance attributes and a power outage management system (Outage Management System, OMS) to periodically derive matching data.
The coverage rate of the target corresponding to the A+ type can be 80%, and the coverage rate of the target corresponding to the non-A+ type can be 55%. The A+ type and non-A+ type power supply areas can be matched through manual maintenance attributes, and OMS periodically derives the matching, or the matching is performed according to the transformer station names and the line numbers.
The head-end node can be a collection of a first station room with load and a previous node from a feeder line power supply point. The number of head-end nodes may be the number of nodes that the head-end node contains. The number of head-end triple-telenodes may be the number of triple-telenodes in the head-end node.
It should be appreciated that by comparing whether the collected data of each node meets the coverage standard data corresponding to each node, key coverage information in the target analysis dimension is determined, and the key coverage information is determined as an analysis result of the distribution automation coverage condition of the target power grid.
In some embodiments, the target analysis dimension may be various view dimensions, including a line view, a node view, a branch view, and the like, which is not limited by the embodiments of the present application. In some embodiments, the analysis result of the distribution automation coverage condition in the target analysis dimension can be sent to the terminal device for display.
The analysis display of the line view dimension is exemplified, and the key coverage information mainly comprises the number of effective coverage lines, the number of lines meeting the self-healing operation requirement, the number of lines meeting the point selection requirement, the number of lines needing effective coverage, the effective line coverage rate and the like.
The analysis and display of the node view dimension is exemplified, and key coverage information is mainly displayed, wherein the key coverage information comprises the number of distribution nodes, the number of distribution self-coverage nodes, the number of three-telecoverage nodes, the three-telecoverage rate of a trunk and the three-telecoverage rate of a contact point.
The number of the power distribution nodes can be the total number of the trunk nodes and the branch nodes. The number of self-covered nodes can be the total number of three-remote and two-remote nodes. The number of the three-remote coverage nodes can be the total number of the three-remote nodes of the trunk, and the three-remote coverage rate of the trunk can be the number of the three-remote nodes of the trunk or the total number of the trunk nodes, wherein the result decimal point keeps one bit. The three-remote coverage rate of the contact points can be the number of three-remote nodes of the trunk or the total number of the trunk nodes, and the decimal point of the result is reserved with one bit.
For example, aiming at the analysis and display of the branch view dimension, key information coverage information is mainly displayed for branches and the number of low-voltage users carried by the branches.
The method for determining the distribution automation coverage solves the problem that statistics analysis is manually performed on data such as running accounts depending on statistics of effective coverage conditions of the distribution automation at present, so that analysis accuracy and efficiency of the distribution automation coverage are improved, systematic analysis display is achieved, and decision basis is provided for supporting effective level of self-healing operation of feeder lines and actual reaction distribution automation transformation and guiding follow-up distribution automation transformation planning.
According to the method for determining the distribution automation coverage, firstly, according to a power grid topology data model, dynamic topology analysis is carried out on a target power grid by taking feeder lines as units, and a topology analysis result of each feeder line in the target power grid is obtained. And secondly, sequentially storing the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid. And thirdly, collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid. And finally, determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid. The analysis and result storage of the feeder trunk path and the branch path are realized by utilizing dynamic topology analysis, and then the division of nodes corresponding to various gathering attributes is realized by data gathering.
The following describes how to perform dynamic topology analysis on a target power grid in units of feeder lines according to a power grid topology data model. Fig. 3 is a flow chart of another method for determining coverage of power distribution automation, as shown in fig. 3, in which the method for determining coverage of power distribution automation includes S301-S305:
S301, filtering a preset influence factor in analysis conditions corresponding to a target power grid.
Wherein the impact factor includes at least one of the following information: splicing information of a target power grid, outage information of the target power grid and overhaul information of the target power grid.
S302, carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the filtered analysis conditions and the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
S303, sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid.
S304, collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid.
The collection attributes comprise the location attribute, the self-coverage attribute, the asset attribute and the contact attribute of the line. The position attribute of the line corresponds to a trunk node and a branch node, the self-coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
S305, determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
In the method, when dynamic topology analysis is carried out by taking the feeder lines as a unit, the influence factors of filtering splicing information, power failure, maintenance on the topology analysis and the like are considered, so that the topology analysis can be ensured to cover all the feeder lines.
The following describes how to sequentially store topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid. Fig. 4 is a flow chart of another method for determining power distribution automation coverage according to an embodiment of the present application, as shown in fig. 4, where the method for determining power distribution automation coverage includes S401 to S406:
s401, carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
S402, searching a target power grid from a root feeder section carried by a feeder line on the side to a contact point by using a distribution network operation control system, and determining a trunk path and a branch path of the feeder line in the target power grid, wherein the branch path comprises a single radiation line.
S403, identifying a head switch and a tie switch of a trunk path of the feeder, and identifying a head switch of a branch path of the feeder.
S404, according to the identifiers in the trunk path and the branch path of the feeder line, the topology analysis result of each feeder line is sequentially stored.
And S405, collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid.
The collection attributes comprise the location attribute, the self-coverage attribute, the asset attribute and the contact attribute of the line. The position attribute of the line corresponds to a trunk node and a branch node, the self-coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
S406, determining analysis results of distribution automation coverage conditions of the target power grid in a target analysis dimension according to the aggregation data and data statistics analysis rules of nodes corresponding to various aggregation attributes in the target power grid.
The analysis results of how the distribution automation coverage of the target grid is determined in the target analysis dimension are described below. Fig. 5 is a flow chart of another method for determining power distribution automation coverage according to an embodiment of the present application, as shown in fig. 5, where the method for determining power distribution automation coverage includes S501-S505:
s501, carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
S502, sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid.
And S503, collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid.
S504, according to the data statistics analysis rule, determining coverage standard data corresponding to each node respectively in the target analysis dimension.
The collection attributes comprise the location attribute, the self-coverage attribute, the asset attribute and the contact attribute of the line. The position attribute of the line corresponds to a trunk node and a branch node, the self-coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
S505, determining an analysis result of the distribution automation coverage condition of the target power grid according to the coverage standard data corresponding to each node in the target analysis dimension and the aggregation data of the nodes corresponding to the multiple aggregation attributes.
According to the method for determining the distribution automation coverage, firstly, according to a power grid topology data model, dynamic topology analysis is carried out on a target power grid by taking feeder lines as units, and a topology analysis result of each feeder line in the target power grid is obtained. And secondly, sequentially storing the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid. And thirdly, collecting the stored topology analysis results according to the data collection processing rule to obtain collection data of the nodes with various collection attributes in the target power grid. And finally, determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid. The analysis and result storage of the feeder trunk path and the branch path are realized by utilizing dynamic topology analysis, and then the division of nodes corresponding to various gathering attributes is realized by data gathering.
It should be understood that, although the steps in the flowcharts related to the above embodiments are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a power distribution automation coverage determining device for realizing the power distribution automation coverage determining method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation in the embodiments of the determining device for one or more distribution automation covers provided below may be referred to the limitation of the determining method for distribution automation covers hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 6, there is provided a power distribution automation coverage determination apparatus 600, including: topology analysis module 601, storage module 602, aggregation module 603, and overlay analysis module 604, wherein:
the topology analysis module 601 is configured to perform dynamic topology analysis on the target power grid with the feeder line as a unit according to the power grid topology data model, so as to obtain a topology analysis result of each feeder line in the target power grid.
The storage module 602 is configured to sequentially store topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid.
And the aggregation module 603 is configured to aggregate the stored topology analysis results according to the data aggregation processing rule, so as to obtain aggregation data of nodes with multiple aggregation attributes in the target power grid.
The coverage analysis module 604 is configured to determine an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the collection data and the data statistics analysis rule of the nodes corresponding to the multiple collection attributes in the target power grid.
In one embodiment, the topology analysis module 601 is specifically configured to filter a preset influence factor in an analysis condition corresponding to the target power grid; and carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the filtered analysis conditions and the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
In one embodiment, the impact factor includes at least one of the following information: splicing information of a target power grid, outage information of the target power grid and overhaul information of the target power grid.
In one embodiment, the storage module 602 is specifically configured to use a distribution network operation control system to search a target power grid from a root feeder segment carried by a feeder line on a home side to a contact point, and determine a trunk path and a branch path of the feeder line in the target power grid, where the branch path includes a single radiation line; identifying a head switch and a contact switch of a trunk path of a feeder line, and identifying a head switch of a branch path of the feeder line; and sequentially storing the topology analysis result of each feeder line according to the identifiers in the trunk path and the branch path of the feeder line.
In one embodiment, the collection attributes include location attributes, self-overlay attributes, asset attributes, and contact attributes of the line on which they are located.
The position attribute of the line corresponds to a trunk node and a branch node, the self-coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
In one embodiment, the coverage analysis module 604 is specifically configured to determine coverage standard data corresponding to each node in the target analysis dimension according to a data statistics analysis rule; and determining an analysis result of the distribution automation coverage condition of the target power grid according to the coverage standard data respectively corresponding to each node in the target analysis dimension and the aggregation data of the nodes corresponding to the multiple aggregation attributes.
The respective modules in the above-described determination device of distribution automation coverage may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is for storing data. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of determining power distribution automation coverage.
It will be appreciated by those skilled in the art that the structure shown in fig. 7 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided that includes a memory having a computer program stored therein and a processor that when executing the computer program implements the above-described method of determining distribution automation coverage.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor implements the above-described method of determining distribution automation coverage.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, implements the above-described method of determining distribution automation coverage.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to comply with the related laws and regulations and standards of the related countries and regions.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not thereby to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method of determining power distribution automation coverage, the method comprising:
according to a power grid topology data model, carrying out dynamic topology analysis on a target power grid by taking a feeder line as a unit to obtain a topology analysis result of each feeder line in the target power grid;
sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid;
Collecting the stored topology analysis results according to a data collection processing rule to obtain collection data of nodes with various collection attributes in the target power grid;
and determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
2. The method according to claim 1, wherein the performing dynamic topology analysis on the target power grid by using the feeder line as a unit according to the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid includes:
filtering a preset influence factor in analysis conditions corresponding to the target power grid;
and carrying out dynamic topology analysis on the target power grid by taking the feeder lines as units according to the filtered analysis conditions and the power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid.
3. The method of claim 2, wherein the impact factor comprises at least one of the following information: splicing information of the target power grid, outage information of the target power grid and overhaul information of the target power grid.
4. The method according to claim 1, wherein sequentially storing topology analysis results of each feeder line according to a trunk path and a branch path of the feeder line in the target power grid comprises:
searching a root feeder section of the target power grid from a feeder line on the side to a contact point by using a distribution network operation control system, and determining a trunk path and a branch path of the feeder line in the target power grid, wherein the branch path comprises a single radiation line;
identifying a head switch and a tie switch of a trunk path of the feeder line, and identifying a head switch of a branch path of the feeder line;
and sequentially storing the topology analysis result of each feeder line according to the identifiers in the trunk path and the branch path of the feeder line.
5. The method of claim 1, wherein the aggregation attributes include a location attribute, a self-overlay attribute, an asset attribute, and a contact attribute of the line on which the aggregation attribute is located;
the position attribute of the line corresponds to a trunk node and a branch node, the self-configuration coverage attribute corresponds to a three-remote node, a two-remote node and an unmodified node, the asset attribute corresponds to a public node and a special node, and the contact attribute corresponds to a contact node and a segmentation node.
6. The method according to claim 1, wherein determining the analysis result of the distribution automation coverage situation of the target power grid in the target analysis dimension according to the collection data and the data statistics analysis rule of the nodes corresponding to the multiple collection attributes in the target power grid comprises:
according to the data statistics analysis rule, determining coverage standard data corresponding to each node respectively in the target analysis dimension;
and determining an analysis result of the distribution automation coverage condition of the target power grid according to the coverage standard data respectively corresponding to each node in the target analysis dimension and the aggregation data of the nodes corresponding to the multiple aggregation attributes.
7. A power distribution automation coverage determination device, the device comprising:
the topology analysis module is used for carrying out dynamic topology analysis on a target power grid by taking a feeder line as a unit according to a power grid topology data model to obtain a topology analysis result of each feeder line in the target power grid;
the storage module is used for sequentially storing the topology analysis result of each feeder line according to the trunk path and the branch path of the feeder line in the target power grid;
The collecting module is used for collecting the stored topology analysis results according to the data collecting processing rule to obtain collecting data of the nodes with various collecting attributes in the target power grid;
and the coverage analysis module is used for determining an analysis result of the distribution automation coverage condition of the target power grid in a target analysis dimension according to the aggregation data and the data statistics analysis rule of the nodes corresponding to the multiple aggregation attributes in the target power grid.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
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