Power distribution network topology data dynamic loading method and system

Abstract

The invention relates to a power distribution network topology data dynamic loading method and system, and belongs to the technical field of power distribution network topology analysis, and the method comprises the steps: receiving a topology data query request inputted by a user, the topology data query request at least comprising an electrical equipment ID of query electrical equipment or a feeder ID of query feeder; according to the topological data query request, matching a corresponding target feeder topological data block in a plurality of feeder topological data blocks which are divided and stored in advance; according to pre-stored distribution line framework topological data, matching a starting device corresponding to the target feeder topological data block and a plurality of associated feeder topological data blocks under the same starting device; and loading and generating a basic topological data graph according to the initial equipment, the target feeder topological data block and the plurality of associated feeder topological data blocks. According to the method, the loading speed when a user inquires the power distribution topological data is increased, and meanwhile, the effect of reducing the resource consumption of the server terminal is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of distribution network topology analysis, and in particular to a method and system for dynamically loading distribution network topology data. Background Art

[0002] The topological connection relationship data of power grid equipment is the core of power grid resource information, and many business activities of power grid management are closely related to its storage. Traditional topological data storage methods generally use databases for structured storage, that is, building terminal tables and connection node tables in the database to express the connection relationship between conductive devices.

[0003] Then, the provincial power company has a large number of distribution network devices, and the topological data graph of the distribution network is highly complex. When the above existing data is loaded into the service memory and the topological network is constructed, the data loading is difficult. When users access the distribution network topological data in the server, the server resource consumption is greatly increased. At the same time, the connection relationship and power consumption status of various devices in the distribution network are updated frequently, which may also lead to inconsistent topological data of the distribution network and affect the accuracy of topological analysis. Summary of the invention

[0004] In order to facilitate reducing the amount of topology data loaded during the access process of the distribution network topology data graph and reduce the resource consumption of the server, the present application provides a distribution network topology data dynamic loading method and system.

[0005] In a first aspect, the present application provides a method for dynamically loading distribution network topology data, which adopts the following technical solution: A method for dynamically loading distribution network topology data, the method comprising: Receiving a topology data query request input by a user, wherein the topology data query request at least includes querying an electrical device ID of an electrical device or querying a feeder ID of a feeder; According to the topology data query request, matching a corresponding target feeder topology data block among a plurality of pre-divided and stored feeder topology data blocks; According to the pre-stored distribution line framework topology data, matching the starting device corresponding to the target feeder topology data block and multiple associated feeder topology data blocks under the same starting device; A basic topology data graph is loaded and generated according to the starting device, the target feeder topology data block and a plurality of associated feeder topology data blocks.

[0006] Optionally, the feeder topology data block is composed of a single feeder and a set of multiple electrical devices in the single feeder, and the feeder topology data block stores connection information of all off-site conductive devices in the single feeder.

[0007] Optionally, the method further includes: If a user's detailed query request is received, the feeder ID of the target feeder corresponding to the target feeder is divided into blocks according to the target feeder topology data, and the connection information between the corresponding multiple electrical devices and the target feeder is matched in the pre-stored electrical equipment assembly database, and the device connection topology diagram of the target feeder is loaded and generated; According to the feeder ID corresponding to the target feeder, matching the target power consumption history record data of the target feeder in the pre-stored power distribution equipment power operation record database; A feeder operation status topology analysis diagram corresponding to the target feeder topology data block is constructed according to the target power consumption history record data and the device connection topology diagram.

[0008] Optionally, the method comprises: According to the feeder operation status topology analysis diagram and the preset feeder power threshold, a plurality of target feeder high power operation periods are screened out; According to the pre-divided cycle period and the pre-divided unit time period in the cycle period, with a plurality of the target feeder high-power operation time periods, calculate the target feeder high-power operation probability of the target feeder high-power operation in the plurality of unit time periods in the cycle period; The target feeder high-power operation probability and the corresponding multiple unit time periods are marked in the feeder operation status topology analysis diagram.

[0009] Optionally, the method further includes: In the power distribution equipment power operation record database, capturing the busbar power consumption history record data of the starting equipment; Calculate and generate the total parallel power consumption history record data of a plurality of associated feeders according to the bus power consumption history record data and the target power consumption history record data; According to the total parallel power consumption history record data and the preset multi-feeder operation threshold, multiple parallel feeder high-power operation periods are screened out; According to the cycle period and the high-power operation time periods of the plurality of parallel feeders, the parallel high-power operation probability that the total power of the plurality of associated feeders is in high-power operation is calculated in the plurality of unit time periods in the cycle period; According to the plurality of parallel high-power operation probabilities and the plurality of target feeder high-power operation probabilities, power deficit operation probabilities in the plurality of unit time periods in the cycle are generated.

[0010] Optionally, after generating the power-deficit operation probability under the plurality of unit time periods in the cycle, the method further includes: Screening out a target power-deficit operation probability greater than a preset probability threshold from the plurality of power-deficit operation probabilities; A plurality of the target power shortage operation probabilities and corresponding unit time periods are marked in the feeder operation status topology analysis diagram.

[0011] Optionally, the method further includes: Sending data collection instructions to multiple sensors and data processing terminals corresponding to the target feeder; receiving topology change information fed back by a plurality of sensors and data processing terminals corresponding to the target feeder; The device connection topology map corresponding to the target feeder is updated based on the topology change information.

[0012] In a second aspect, the present application provides a distribution network topology data dynamic loading system, which adopts the following technical solution: A distribution network topology data dynamic loading system, the system comprising a server terminal, the server terminal comprising: An information receiving module, used for receiving a topology data query request input by a user, wherein the topology data query request at least includes querying an electrical device ID of an electrical device or querying a feeder ID of a feeder; A data matching module, configured to match a corresponding target feeder topology data block among a plurality of feeder topology data blocks that are pre-divided and stored according to the topology data query request; A data matching module, used to match the starting device corresponding to the target feeder topology data block and multiple associated feeder topology data blocks under the same starting device according to the pre-stored distribution line framework topology data; A data loading module is used to load and generate a basic topology data map according to the starting device, the target feeder topology data block and a plurality of associated feeder topology data blocks. In a third aspect, the present application provides a server terminal, which adopts the following technical solution: A server terminal comprises a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the method for dynamically loading distribution network topology data as described in the first aspect.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the method for dynamically loading distribution network topology data as described in the first aspect.

[0014] In summary, the present application includes at least one of the following beneficial technical effects: Multiple electrical devices connected to a single feeder and a single feeder are divided into feeder topology data blocks, so that the basic topology data map can be loaded by constructing a framework with feeder topology data blocks and a framework of starting devices, thereby speeding up the loading speed when users query distribution topology data and reducing the resource consumption of the server terminal. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0016] Figure 1 It is a flow chart of a method for dynamically loading distribution network topology data provided in an embodiment of the present application.

[0017] Figure 2 It is a basic topology data diagram in a distribution network provided in an embodiment of the present application.

[0018] Figure 3 It is a flow chart of generating the probability of low-power operation provided by an embodiment of the present application.

[0019] Figure 4 It is a structural block diagram of a server terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the attached Figure 1-4 The embodiments of the present invention are described in further detail.

[0021] An embodiment of the present application provides a method for dynamically loading distribution network topology data. The method can be applied to a distribution network topology data dynamic loading system. The executor of the method can be a server terminal in the distribution network topology data dynamic loading system.

[0022] The server terminal receives feedback data from multiple data processing terminals and multiple sensors in the distribution network, where the data processing terminal can be used to record the topological connection mode of multiple electrical devices and feeders input by users in the distribution network. Specifically, for example, users can query the electrical connection mode between electrical devices or feeders and external devices by inputting feeder IDs or electrical device IDs. At the same time, multiple sensors located on the feeder summarize the monitored data and upload them to the server terminal, such as uploading the current and voltage values ​​flowing on the feeder.

[0023] The embodiment of the present application is described by dynamically loading topology data in a distribution network.

[0024] The following will be combined with specific implementation methods. Figure 1 The processing flow shown is described in detail, and the content can be as follows: S101, receiving a topology data query request input by a user, where the topology data query request at least includes querying an electrical device ID of an electrical device or querying a feeder ID of a feeder.

[0025] In the implementation, when the user queries the distribution network topology data, the feeder data is pre-divided into blocks to reduce the resource consumption of the server terminal during the user's first data retrieval. After receiving the user's request for detailed query again, the topology diagram of the electrical equipment installed on each feeder is obtained, thereby reducing the resource consumption of the server terminal by dynamically loading the distribution network topology data.

[0026] Specifically, the server terminal receives a topology data query request input by a user, which at least includes an electrical equipment ID for querying the electrical equipment, or a feeder ID for querying the feeder, so as to match the corresponding feeder and electrical equipment in a pre-stored distribution network power equipment resource database.

[0027] S102: According to a topology data query request, a corresponding target feeder topology data block is matched among a plurality of pre-divided and stored feeder topology data blocks.

[0028] In implementation, a plurality of feeder topology data blocks are pre-divided in the server terminal.

[0029] The feeder topology data block is composed of a single feeder and a collection of multiple electrical equipment connected to the single feeder. The feeder topology data block stores the connection information between the single feeder and all the conductive equipment outside the station.

[0030] The server terminal uses the electrical equipment ID or feeder ID in the topology data query request to match the feeder topology data block where the feeder ID or electrical equipment ID is located in the pre-divided feeder topology data block. The matched feeder topology data block is referred to as the target feeder topology data block, and the feeder corresponding to the target feeder topology data block is referred to as the target feeder.

[0031] S103, matching a starting device corresponding to a target feeder topology data block and a plurality of associated feeder topology data blocks under the same starting device according to pre-stored distribution line framework topology data.

[0032] In implementation, the server terminal pre-stores distribution line framework topology data, which records the starting device corresponding to each feeder topology data block, so as to facilitate tracing the bus terminal of each feeder topology data block.

[0033] Furthermore, the server terminal uses the matched starting device to obtain multiple feeder topology data blocks under the same starting device in the distribution line framework topology data, and calls the matched multiple feeder topology data blocks associated feeder topology data blocks, where multiple feeders belonging to the same device as the target feeder are called associated feeders.

[0034] S104, loading and generating a basic topology data graph according to the starting device, the target feeder topology data block and a plurality of associated feeder topology data blocks.

[0035] In implementation, Figure 2 As shown, the server terminal integrates the starting device, the target feeder topology data block and multiple associated feeder topology data blocks, and loads and generates a basic topology data graph.

[0036] In the present application, multiple electrical devices connected to a single feeder and a single feeder are divided into feeder topology data blocks, so that the basic topology data map can be loaded by constructing a framework with feeder topology data blocks and a framework of the starting device, thereby speeding up the loading speed when users query the distribution topology data, and reducing the resource consumption of the server terminal.

[0037] At the same time, by retrieving the associated topological data blocks, it is convenient to compare multiple feeders under the same bus, and analyze the power consumption of multiple feeders under the same starting device, so as to provide early warning for possible power shortages in the target feeder topological data blocks.

[0038] Optionally, in this application, there is also the following processing, and the specific process is as follows: If a user's detailed query request is received, the feeder ID of the target feeder corresponding to the target feeder is divided into blocks according to the target feeder topology data, and the connection information between the corresponding multiple electrical devices and the target feeder is matched in the pre-stored electrical equipment assembly database, and the equipment connection topology diagram of the target feeder is loaded and generated.

[0039] In implementation, the server terminal pre-stores an electrical equipment assembly database, which stores connection information between multiple electrical equipment and target feeders. The electrical equipment here includes in-station electrical equipment and out-station electrical equipment.

[0040] When the server terminal receives a request for querying details of a target feeder, the server terminal uses the feeder ID of the target feeder in the target feeder topology block to match the corresponding electrical equipment and the connection information between the multiple electrical equipment and the target feeder in the electrical equipment assembly database, so as to load and generate an equipment connection topology diagram with multiple electrical equipment.

[0041] According to the feeder ID corresponding to the target feeder, the target power consumption history record data of the target feeder is matched in the pre-stored power distribution equipment power operation record database.

[0042] In implementation, the server terminal also stores a power distribution equipment power operation record database, which records power consumption history data of multiple electrical equipment and feeders, wherein the power consumption history data at least includes the current, voltage and electric power flowing through.

[0043] The server terminal matches the target feeder's feeder ID with the target feeder's power operation record database, where the matched power consumption history record data is referred to as target power consumption history record data.

[0044] According to the target power consumption history record data and the equipment connection topology diagram, a feeder operation status topology analysis diagram corresponding to the target feeder topology data block is constructed.

[0045] In implementation, the server terminal combines the target power consumption history record data and the device connection topology diagram to construct a feeder operation status topology analysis diagram corresponding to the target feeder topology data block, so that the user can query the operation status of the target feeder.

[0046] Optionally, in this application, there is also the following processing flow: According to the feeder operation status topology analysis diagram and the preset feeder power threshold, multiple target feeder high-power operation periods are screened out.

[0047] During implementation, the server terminal compares the historical electric power information of the target feeder in the feeder operation status topology analysis diagram with the preset feeder power threshold to screen out multiple time periods in which the historical electric power is greater than the feeder power threshold, and the screened out multiple time periods are called the target feeder high-power operation time periods.

[0048] According to the pre-divided cycle periods and the pre-divided unit time periods in the cycle periods, with multiple target feeder high-power operation time periods, the target feeder high-power operation probability of the target feeder high-power operation in the multiple unit time periods in the cycle period is calculated.

[0049] In implementation, the server terminal has a preset cycle duration. In the embodiment of the present application, the cycle duration may be 1 week or 1 day.

[0050] The server terminal divides the historical cycle into multiple historical cycles according to the cycle duration, and then divides each historical cycle and the current cycle into multiple unit time periods according to multiple unit time periods. For example, in one week, each hour is used as a unit time period to divide it into multiple unit time periods, and the multiple unit time periods are numbered.

[0051] Then the server terminal uses multiple target feeder high-power operation time periods to count the probability of target feeder high-power operation in the same numbered unit time period in multiple historical cycles, and calls it the target feeder high-power operation probability.

[0052] For example, in a cycle of one week, one cycle is from 0:00 on Monday to 24:00 on Sunday, and the unit time is one hour. According to the target feeder high-power operation period, the probability of the target feeder high-power operation from 8:00 to 9:00 on Monday is counted, and it is called the target feeder high-power operation probability corresponding to 8:00 to 9:00 on Monday.

[0053] The target feeder high-power operation probability and the corresponding multiple unit time periods are marked in the feeder operation status topology analysis diagram.

[0054] During implementation, the server terminal marks the target feeder high-power operation probability and the corresponding multiple unit time periods in the feeder operation status topology analysis diagram.

[0055] When further querying of the operating status of the target feeder is needed, the user can estimate the power operating status of the target feeder and issue an early warning for the high-power operating device of the target feeder by querying the high-power operation probability of the target feeder marked in the feeder operating status topology analysis diagram.

[0056] Optionally, in this application, there is also Figure 3 The processing shown S201, capturing the busbar power consumption history record data of the starting device in the power distribution equipment power operation record database.

[0057] In implementation, the server terminal matches the power consumption history record data corresponding to the starting device in the power distribution equipment power operation record database, and calls it the bus power consumption history record data.

[0058] S202: Calculate and generate total parallel power consumption history record data of a plurality of associated feeders according to the bus power consumption history record data and the target power consumption history record data.

[0059] During implementation, the server terminal subtracts the historical electric power at the same time in the bus power consumption history record data and the target power consumption history record data, and calculates and generates the total historical electric power information of multiple associated feeders under the same bus as the target feeder, which is called the parallel power consumption total historical record data.

[0060] S203, screening out multiple parallel feeder high-power operation time periods according to the total parallel power consumption history record data and a preset multi-feeder operation threshold.

[0061] During implementation, the server terminal compares the new information of the total historical electric power of multiple associated feeders in the parallel power consumption history record data with the preset multi-feeder operation threshold to filter out the time period when the total historical electric power of multiple associated feeders is greater than the multi-feeder operation threshold, and the time period filtered out here is called the parallel feeder high-power operation period.

[0062] S204, according to the cycle period length and the high-power operation time periods of the plurality of parallel feeders, calculating the parallel high-power operation probability that the total power of the plurality of associated feeders is in high-power operation in the plurality of unit time periods in the cycle period.

[0063] In implementation, the server terminal calculates the probability of high power in the sum of multiple associated feeder electric powers in each unit period in the cycle through multiple parallel high-power operation periods, and the probability calculated in each unit period here is called the parallel high-power probability.

[0064] S205 , generating power shortage operation probabilities in multiple unit time periods in a cycle according to multiple parallel high-power operation probabilities and multiple target feeder high-power operation probabilities.

[0065] During implementation, the server terminal multiplies the parallel high power probability and the target feeder high power probability in the same unit time period in the cycle to calculate the power shortage operation probability.

[0066] In the present application, the power shortage operation probability generated by calculation is used to reflect to the user the probability that the target feeder may have insufficient power supply, as well as the time period when the insufficient power supply may exist.

[0067] Optionally, after step S205, there is the following processing, and the specific operation flow is as follows: Screening out a target power shortage operation probability greater than a preset probability threshold from multiple power shortage operation probabilities; Multiple target power shortage operation probabilities and corresponding unit time periods are marked on the feeder operation status topology analysis diagram.

[0068] In implementation, the server terminal compares multiple power-loss operation probabilities with a preset probability threshold, and calls the power-loss operation probability greater than the probability threshold the target power-loss operation probability.

[0069] Then the server marks the target power shortage operation probabilities and corresponding unit time periods in the feeder operation status analysis diagram to reduce the amount of data in the feeder operation status topology analysis diagram. At the same time, it allows users to quickly identify the unit time periods with a high probability of insufficient power supply when querying.

[0070] Optionally, in this application, there is also the following processing, and the specific operation process is as follows: sending data collection instructions to multiple sensors and data processing terminals corresponding to the target feeder; Receive topology change information fed back by multiple sensors and data processing terminals corresponding to the target feeder; The device connection topology diagram corresponding to the target feeder is updated based on the topology change information.

[0071] In implementation, after generating the device connection topology diagram, the server terminal sends a data collection instruction to a plurality of sensors corresponding to the target feeder and a data processing terminal.

[0072] After receiving the data collection instruction, the multiple sensors and data processing terminals corresponding to the target feeder compare the current device connection topology data with the device connection topology data uploaded last time, and obtain the topology change information.

[0073] At the same time, the data processing terminal uploads the historical electricity consumption data collected between the last upload and the current moment to the server terminal through the data processing terminal.

[0074] After receiving the topology change information, the server terminal updates the device connection topology map based on the topology change information, and updates the target power consumption history record data based on the received historical power consumption data. This accurately updates the connection relationship between the various devices in the queried area, makes the topology data of the distribution network consistent, and enhances the accuracy of the topology analysis.

[0075] Optionally, after generating the device connection topology diagram, the following processing can also be performed: If there is a target power shortage operation probability in the feeder operation status topology analysis diagram, multiple power shortage unit time periods where the target power shortage operation probability is located are marked from the cycle period; Obtain the total power consumption history record data of multiple associated feeders, and generate the associated high power operation probability corresponding to each power deficit unit period in the cycle according to the total power consumption history record data and the feeder power threshold; comparing a plurality of associated high power operation probabilities of each associated feeder with a preset troubleshooting threshold; If the target-associated high-power operation probability of the target-associated feeder is greater than the preset threshold to be optimized, the target-associated high-power operation probability and the corresponding power-deficient unit period are marked in the basic topology data block diagram.

[0076] In implementation, if the server terminal identifies the target power-deficit operation probability in the feeder operation status topology analysis diagram, the server terminal marks multiple unit time periods corresponding to the target power-deficit operation probability from the cycle period, and calls the multiple unit time periods here power-deficit unit time periods.

[0077] Then the server terminal matches the total power consumption history record data corresponding to each associated feeder in the power distribution equipment power operation record database.

[0078] Then the server terminal compares the historical electric power corresponding to the associated feeder with the feeder power threshold, and screens out a plurality of associated feeder high-power operation time periods corresponding to each associated feeder.

[0079] Then, the server terminal calculates and generates the associated high-power operation probability corresponding to each power-deficient unit period within the cycle, and then compares the multiple associated high-power operation probabilities corresponding to each associated feeder with the preset troubleshooting threshold.

[0080] If there is a certain associated high-power operation probability of a certain associated feeder that is greater than the preset threshold to be optimized, the target associated high-power operation probability and the corresponding power shortage unit period are marked in the basic topology data block diagram. Here, the associated feeder is called the target associated feeder, and the associated high-power operation probability here is called the target associated high-power operation probability. By marking the target associated high-power operation probability and the corresponding power shortage unit period, it is convenient for users to make timely power adjustments to the target associated feeder and reduce the possibility of insufficient power supply.

[0081] The embodiment of the present application also discloses a system for dynamically loading distribution network topology data, the system comprising a server terminal, the server terminal comprising: An information receiving module, used to receive a topology data query request input by a user, wherein the topology data query request at least includes querying an electrical device ID of an electrical device or querying a feeder ID of a feeder; A data matching module, used for matching a corresponding target feeder topology data block among a plurality of feeder topology data blocks that are pre-divided and stored according to a topology data query request; A data matching module, used to match the starting device corresponding to the target feeder topology data block and multiple associated feeder topology data blocks under the same starting device according to the pre-stored distribution line framework topology data; The data loading module is used to load and generate a basic topology data graph according to a starting device, a target feeder topology data block and a plurality of associated feeder topology data blocks.

[0082] In the server terminal, the feeder topology data block is composed of a single feeder and a collection of multiple electrical devices in the single feeder. The feeder topology data block stores connection information of all off-site conductive devices in the single feeder.

[0083] Optionally, the server terminal can also be used to: If a user's detailed query request is received, the feeder ID of the target feeder corresponding to the target feeder is divided into blocks according to the target feeder topology data, and the connection information between the corresponding multiple electrical devices and the target feeder is matched in the pre-stored electrical equipment assembly database, and the device connection topology diagram of the target feeder is loaded and generated; A data matching module, used to match the target power consumption history record data of the target feeder in the pre-stored power distribution equipment power operation record database according to the feeder ID corresponding to the target feeder; The data loading module is used to construct a feeder operation status topology analysis diagram corresponding to the target feeder topology data block according to the target power consumption history record data and the equipment connection topology diagram.

[0084] Optionally, the server terminal can also be used to: A time period screening module is used to screen out multiple target feeder high-power operation time periods according to the feeder operation status topology analysis diagram and the preset feeder power threshold; A data calculation module is used to calculate the target feeder high-power operation probability of the target feeder high-power operation in the multiple unit time periods in the cycle period according to the pre-divided cycle period and the pre-divided unit time periods in the cycle period, with multiple target feeder high-power operation time periods; The information marking module is used to mark the high-power operation probability of the target feeder and the corresponding multiple unit time periods in the feeder operation status topology analysis diagram.

[0085] Optionally, the server terminal can also be used to: A data matching module is used to capture the busbar power consumption history record data of the starting equipment in the power distribution equipment power operation record database; A data calculation module, used for calculating and generating the total parallel power consumption history record data of a plurality of associated feeders according to the bus power consumption history record data and the target power consumption history record data; A time period screening module is used to screen out multiple parallel feeder high-power operation time periods based on the total parallel power consumption history record data and the preset multi-feeder operation threshold; A data calculation module is used to calculate the parallel high-power operation probability of the total power of multiple associated feeders being in high-power operation in multiple unit time periods in the cycle according to the cycle period length and the high-power operation time periods of multiple parallel feeders; The data calculation module is used to generate the power shortage operation probability in multiple unit time periods in the cycle according to multiple parallel high-power operation probabilities and multiple target feeder high-power operation probabilities.

[0086] Optionally, the server terminal can also be used to: A data calculation module, used to select a target power-deficient operation probability greater than a preset probability threshold from multiple power-deficient operation probabilities; The information marking module is used to mark multiple target power shortage operation probabilities and corresponding unit time periods in the feeder operation status topology analysis diagram.

[0087] Optionally, the server terminal can also be used to: An information collection request module, used to send data collection instructions to multiple sensors and data processing terminals corresponding to the target feeder; An information receiving module, used to receive topology change information fed back by multiple sensors and data processing terminals corresponding to the target feeder; The information update module updates the device connection topology diagram corresponding to the target feeder based on the topology change information.

[0088] Figure 4 : is a schematic diagram of the structure of the server terminal provided in the embodiment of the present application. The server terminal may have relatively large differences due to different configurations or performances, and may include one or more central processing units (for example, one or more processors) and memories, and one or more storage media for storing applications or data (for example, one or more mass storage devices). Among them, the memory and storage medium may be temporary storage or permanent storage. The program stored in the storage medium may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the server terminal.

[0089] The server terminal may also include one or more power supplies, one or more wired or wireless network interfaces, one or more input and output interfaces, one or more keyboards, and / or one or more operating systems.

[0090] The server terminal may include a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors. The one or more programs include processing for the server terminal in the above-mentioned distribution network topology data dynamic loading method.

[0091] A person skilled in the art will understand that all or part of the steps to implement the above embodiments may be accomplished by hardware or by instructing related hardware through a program. The program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, etc.

[0092] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

[0093] Although the present invention is disclosed as above, the protection scope of the present invention is not limited thereto. Those skilled in the art may make various changes and modifications without departing from the spirit and scope of the present invention, and these changes and modifications will fall within the protection scope of the present invention.

Claims

1. A method for dynamically loading distribution network topology data, characterized in that: The method comprises: Receiving a topology data query request input by a user, wherein the topology data query request at least includes querying an electrical device ID of an electrical device or querying a feeder ID of a feeder; According to the topology data query request, matching a corresponding target feeder topology data block among a plurality of pre-divided and stored feeder topology data blocks; According to the pre-stored distribution line framework topology data, matching the starting device corresponding to the target feeder topology data block and multiple associated feeder topology data blocks under the same starting device; A basic topology data graph is loaded and generated according to the starting device, the target feeder topology data block and a plurality of associated feeder topology data blocks.

2. The method according to claim 1, characterized in that The feeder topology data block is composed of a single feeder and a collection of multiple electrical devices in the single feeder, and the feeder topology data block stores connection information of all off-site conductive devices in the single feeder.

3. The method according to claim 1, characterized in that The method further comprises: If a user's detailed query request is received, the feeder ID of the target feeder corresponding to the target feeder is divided into blocks according to the target feeder topology data, and the connection information between the corresponding multiple electrical devices and the target feeder is matched in the pre-stored electrical equipment assembly database, and the device connection topology diagram of the target feeder is loaded and generated; According to the feeder ID corresponding to the target feeder, matching the target power consumption history record data of the target feeder in the pre-stored power distribution equipment power operation record database; A feeder operation status topology analysis diagram corresponding to the target feeder topology data block is constructed according to the target power consumption history record data and the device connection topology diagram.

4. The method according to claim 3, characterized in that The method comprises: Screening out multiple target feeder high-power operation periods according to the feeder operation status topology analysis diagram and a preset feeder power threshold; According to the pre-divided cycle period and the pre-divided unit time period in the cycle period, with a plurality of the target feeder high-power operation time periods, calculate the target feeder high-power operation probability of the target feeder high-power operation in the plurality of unit time periods in the cycle period; The target feeder high-power operation probability and the corresponding multiple unit time periods are marked in the feeder operation status topology analysis diagram.

5. The method according to claim 4, characterized in that The method further comprises: In the power distribution equipment power operation record database, capturing the busbar power consumption history record data of the starting equipment; Calculate and generate the total parallel power consumption history record data of a plurality of associated feeders according to the bus power consumption history record data and the target power consumption history record data; According to the total parallel power consumption history record data and the preset multi-feeder operation threshold, multiple parallel feeder high-power operation periods are screened out; According to the cycle period and the high-power operation time periods of the plurality of parallel feeders, the parallel high-power operation probability that the total power of the plurality of associated feeders is in high-power operation is calculated in the plurality of unit time periods in the cycle period; According to the plurality of parallel high-power operation probabilities and the plurality of target feeder high-power operation probabilities, power deficit operation probabilities in the plurality of unit time periods in the cycle are generated.

6. The method according to claim 5, characterized in that After generating the power-deficit operation probability under the plurality of unit time periods in the cycle, the method further includes: Screening out a target power-deficit operation probability greater than a preset probability threshold from the plurality of power-deficit operation probabilities; A plurality of the target power shortage operation probabilities and corresponding unit time periods are marked in the feeder operation status topology analysis diagram.

7. The method according to claim 3, characterized in that The method further comprises: Sending data collection instructions to multiple sensors and data processing terminals corresponding to the target feeder; receiving topology change information fed back by a plurality of sensors and data processing terminals corresponding to the target feeder; The device connection topology map corresponding to the target feeder is updated based on the topology change information.

8. A distribution network topology data dynamic loading system, characterized in that: The system includes a server terminal, and the server terminal includes: An information receiving module, used for receiving a topology data query request input by a user, wherein the topology data query request at least includes querying an electrical device ID of an electrical device or querying a feeder ID of a feeder; A data matching module, configured to match a corresponding target feeder topology data block among a plurality of feeder topology data blocks that are pre-divided and stored according to the topology data query request; A data matching module, used to match the starting device corresponding to the target feeder topology data block and multiple associated feeder topology data blocks under the same starting device according to the pre-stored distribution line framework topology data; A data loading module is used to load and generate a basic topology data graph according to the starting device, the target feeder topology data block and a plurality of associated feeder topology data blocks.

9. A server terminal, characterized in that: The server terminal includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the method for dynamically loading distribution network topology data as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the method for dynamically loading distribution network topology data as described in any one of claims 1 to 7.

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