A simulation method, system, device and medium for distribution network data flow hierarchical partition planning

Abstract

The present invention discloses a field of electric power data stream transmission technology, and particularly relates to a simulation method, system, device and medium applied to the hierarchical and partitioned planning of distribution network data streams. The method comprises: constructing a hierarchical and partitioned transmission model of distribution network data streams on a test scenario simulation platform system. By simulating the model in real time, status information with a time stamp is uploaded to the platform system. According to the operation control data and the preset control strategy, a corresponding control instruction data packet is generated and returned to the acquisition layer. After receiving the command data packet, simulation is performed, and the simulated data packet is sent to the platform system for analysis, and the status of the data acquisition layer terminal is updated according to the control instruction until the termination condition is met. Through simulation, the process of generating, transmitting and processing the distribution network data stream can be effectively verified on a computer simulation platform, providing simulation example support for the hierarchical and partitioned planning and design of the distribution network, and providing a planning scheme for the intelligent construction of the distribution network.

Description

Technical Field

[0001] The present invention belongs to the technical field of power data stream transmission, and in particular relates to a simulation method, system, device and medium applied to layered and partitioned planning of distribution network data streams. Background Art

[0002] As my country's power system evolves toward intelligence, the widespread access to a vast and diverse array of power terminals, such as distributed power sources and electric vehicles, within distribution networks, in particular, has given them a degree of proactive control and operational capabilities, making them a leading branch of smart grids. Simultaneously, power information collection on the user side of the distribution network is gradually shifting from traditional centralized methods to distributed data stream processing, placing higher demands on system reliability and operational efficiency. Therefore, data stream management within the distribution network has become a crucial component of the intelligent and diversified development of new power systems.

[0003] However, existing research on the data flow transmission and processing mechanism of distribution networks lacks a clear plan for the hierarchical and partitioned management of data flows. For new power systems, the system for how data flows from different distribution network terminals are transmitted in the power grid according to their respective functions is still unclear. In terms of simulation, current research on the data flow transmission and processing mechanism of distribution networks lacks the use of software to implement physical simulation to simulate corresponding scenarios. Existing simulation methods have certain defects.

[0004] Therefore, there is an urgent need for a simulation method, system, device and medium for hierarchical partitioning planning of distribution network data flow to solve the above problems. Summary of the Invention

[0005] The present invention aims to provide a simulation method for hierarchical partitioning planning of distribution network data streams, which is characterized by comprising the following steps:

[0006] Step S101: construct a transmission and processing model for the hierarchical zoning planning of distribution network data streams on a test scenario simulation platform system, and construct a simulation system for the hierarchical zoning planning of distribution network data streams; draw corresponding models of each layer in the simulation system, and synchronize the models of each layer. When the data stream is generated in the data acquisition layer, it will be transmitted to the upper layer through the communication connection method simulated by the corresponding module; the simulation system for the hierarchical zoning planning of distribution network data streams includes: a data acquisition layer, a data transmission layer, and a data processing layer; the transmission and processing model for the hierarchical zoning planning of distribution network data streams includes: a data acquisition layer model, a data transmission layer model, and a data processing layer model;

[0007] Step S102: Real-time simulation of the transmission and processing model of the distribution network data flow hierarchical partition planning is performed through the test scenario simulation platform system to obtain the current system status, and at the same time, the status information with time stamp is uploaded to the test scenario simulation platform system according to a pre-set protocol;

[0008] In step S103, the data processing layer model simulates the data processing process of the distribution automation system, generates corresponding control instruction data packets based on the received operation control data and the preset control strategy, and returns the obtained data packets to the data acquisition layer model;

[0009] Step S104: the data acquisition layer performs simulation calculations after receiving the command data packet of the control instruction from the distribution automation system, and sends the simulated data packet to the test scenario simulation platform system;

[0010] In step S105 , the test scenario simulation platform system analyzes the obtained data packet, updates the status of the data acquisition layer terminal according to the control instructions therein, and then returns to step S102 until the simulation process meets the termination condition.

[0011] The data acquisition layer includes classified transmission of distribution network data streams and external market data streams of third-party multiple operating entities; the data transmission layer includes local transmission part, edge side processing part and remote transmission part; the data processing layer includes data storage sublayer and data application sublayer.

[0012] In the data acquisition layer, the distribution network data flow is divided into operation control data, system protection data, auxiliary monitoring data and electricity metering data.

[0013] In the data transmission layer, the local transmission part is used to transmit the collected distribution network data stream to the edge side processing part to perform preliminary compression and cleaning of the data; the remote transmission part is used to transmit the distribution network data from the edge side preliminary processing to the data processing layer for unified scheduling.

[0014] In the data processing layer, it is divided into a data storage sublayer and a data application sublayer according to hierarchical functions, and different types of data streams are logically partitioned into production control areas, management information areas, and external Internet areas according to the type of data processed and the data security level requirements.

[0015] The simulation system for hierarchical zoning planning of distribution network data streams can form a typical model of a low-voltage distribution network through branch box simulation, user meter box simulation, switch simulation, line simulation, etc. At the same time, in order to generate different types of distribution network data streams to complete hierarchical and classified transmission simulation, the model can flexibly generate simulation terminal parameters such as loads, distributed power sources, and smart meters.

[0016] When the terminal access scale of the simulation system with hierarchical partitioning planning of the distribution network data flow is small, the built-in event scheduler of the test scenario simulation platform system is used to synchronize the global clock, and the data flow queues transmitted between layers are maintained according to the clock sequence. When the terminal access scale of the simulation system with hierarchical partitioning planning of the distribution network data flow is large, distributed or parallel simulation is required to improve efficiency, and parallel simulation time management algorithms such as time step synchronization or optimistic parallel simulation are used to ensure that the simulation time on multiple processing nodes remains synchronized.

[0017] Another object of the present invention is to provide a distribution network data stream transmission and processing simulation device according to the simulation method for distribution network data stream hierarchical partitioning planning of the present invention, characterized by comprising:

[0018] The data acquisition and temporary storage module is used to obtain the power system distribution network data stream through the data processing engine and store it in the temporary storage module;

[0019] An operation data storage module is used to synchronize the data in the temporary storage module and complete synchronization preparation work;

[0020] The data warehouse detailed module is used to process the consolidated report of the data in the temporary storage module;

[0021] A data warehouse aggregation module is used to assemble data in the temporary storage module according to preset data types;

[0022] The tracking and query module is used to track the formed simulation data flow, record the data flow transmission process, and provide corresponding external query services.

[0023] Another object of the present invention is to provide a computer-readable storage medium, characterized in that: a computer program is stored in the computer-readable storage medium, and when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the simulation method described in the present invention for hierarchical partitioning planning of distribution network data flow.

[0024] The beneficial effects of the present invention are:

[0025] In response to existing technical deficiencies, the present invention discloses a simulation method, system, device, and medium for distribution network data flow hierarchical partitioning planning. The simulation method divides the simulation system into a data acquisition layer, a data transmission layer, and a data processing layer, and horizontally divides it into a production control area, a management information area, and an external Internet area, providing a planning scheme for the intelligent construction of distribution networks. By planning the data flow of the distribution network as a whole, based on a test scenario simulation platform system as simulation software, a transmission and processing model for the distribution network data flow hierarchical partitioning planning is constructed, thereby forming a simulation system for the distribution network data flow hierarchical partitioning planning. By designing the overall data flow hierarchical partitioning planning of the distribution network and the overall network model architecture, a complete simulation scheme is formed. Through simulation, the process of distribution network data flow generation, transmission, and processing can be effectively verified on a computer simulation platform, providing simulation example support for the design of distribution network hierarchical partitioning planning. It can accurately and comprehensively plan and simulate the process of distribution network data flow hierarchical partitioning transmission and processing, thereby at least solving the technical problem in the prior art of lacking a set of simulation systems, planning methods, and devices for distribution network data flow hierarchical partitioning. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 Flowchart of the transmission and processing simulation method for hierarchical and partitioned planning of distribution network data streams provided by the present invention;

[0027] Figure 2 A schematic diagram of a module of a distribution network data stream transmission and processing simulation device provided by the present invention;

[0028] Figure 3 This is a schematic diagram of the simulation system structure for the hierarchical and partitioned planning of distribution network data streams provided by the present invention. DETAILED DESCRIPTION

[0029] The present invention provides a simulation method, system, device and medium for hierarchical partitioning planning of distribution network data streams. The present invention is further described in detail below with reference to the accompanying drawings.

[0030] like Figure 1 The embodiment of the present invention disclosed herein discloses a simulation method for hierarchical partitioning planning of distribution network data streams, comprising the following steps:

[0031] Step S101: construct a transmission and processing model for the hierarchical zoning planning of distribution network data streams on a test scenario simulation platform system, and construct a simulation system for the hierarchical zoning planning of distribution network data streams; draw corresponding models of each layer in the simulation system, and synchronize the models of each layer. When the data stream is generated in the data acquisition layer, it will be transmitted to the upper layer through the communication connection method simulated by the corresponding module; the simulation system for the hierarchical zoning planning of distribution network data streams includes: a data acquisition layer, a data transmission layer, and a data processing layer; the transmission and processing model for the hierarchical zoning planning of distribution network data streams includes: a data acquisition layer model, a data transmission layer model, and a data processing layer model;

[0032] Step S102: Real-time simulation of the transmission and processing model of the distribution network data flow hierarchical partition planning is performed through the test scenario simulation platform system to obtain the current system status, and at the same time, the status information with time stamp is uploaded to the test scenario simulation platform system according to a pre-set protocol;

[0033] In step S103, the data processing layer model simulates the data processing process of the distribution automation system, generates corresponding control instruction data packets based on the received operation control data and the preset control strategy, and returns the obtained data packets to the data acquisition layer model;

[0034] Step S104: the data acquisition layer performs simulation calculations after receiving the command data packet of the control instruction from the distribution automation system, and sends the simulated data packet to the test scenario simulation platform system;

[0035] In step S105 , the test scenario simulation platform system analyzes the obtained data packet, updates the status of the data acquisition layer terminal according to the control instructions therein, and then returns to step S102 until the simulation process meets the termination condition.

[0036] Finally, the test scenario simulation platform system can be used to view the layered and partitioned transmission of data streams, the processing simulation process, and the status data of the system model during the simulation process. The specific implementation process of each step is explained below.

[0037] In step S101, the present invention provides a simulation system for hierarchical partition planning of distribution network data flow, such as Figure 3 As shown, the data acquisition layer components include classified transmission distribution network data flow and external market data flow of third-party multiple operating entities; the data transmission layer components include local transmission part, edge side processing part and remote transmission part; the data processing layer components include data storage sublayer and data application sublayer.

[0038] The simulation system for the hierarchical partitioning planning of the distribution network data flow includes: a data acquisition layer, a data transmission layer and a data processing layer; the transmission and processing model of the hierarchical partitioning planning of the distribution network data flow includes: a data acquisition layer model, a data transmission layer model and a data processing layer model; each layer of the simulation system for the hierarchical partitioning planning of the distribution network data flow corresponds to the data acquisition layer model, the data transmission layer model and the data processing layer model of the transmission and processing model of the hierarchical partitioning planning of the distribution network data flow, and the specific structure of the model is as follows Figure 3 shown.

[0039] The data acquisition layer is used to monitor the distribution network terminals in real time and collect power data; the data transmission layer is used to realize the overall planning of data stream transmission and preliminary data compression and cleaning operations; the data processing layer is used to partition and concentrate data of different categories, and perform intelligent analysis and data mining on the data stream.

[0040] The data collection layer includes distribution network data flow and external market data flow.

[0041] In the data acquisition layer, the distribution network data flow is divided into operation control data, system protection data, auxiliary monitoring data and electricity metering data.

[0042] The uplink part of the operation control data consists of distribution network telesignaling, remote control data and load control data, which is transmitted to the data transmission layer through optical fiber or power wireless dedicated network, and the downlink part includes remote control and remote adjustment commands, which are transmitted through power line carrier to the data acquisition layer such as energy storage control terminal, charging pile control terminal and other distribution network distributed intelligent terminals.

[0043] The system protection data transmits the system direction protection and regional protection data to the data transmission layer through the power dedicated network, and data can be exchanged locally through the optical fiber network and 5G network.

[0044] The auxiliary monitoring data and electricity metering data include power distribution environment monitoring and equipment monitoring, as well as electricity information collection data, which are transmitted to the data transmission layer via 4G and 5G wireless public networks.

[0045] The external market data flow is generated by third-party multiple operating entities from microgrids, distributed photovoltaics and smart charging piles, and is transmitted to the data processing layer via wireless public networks and soft-encrypted wireless virtual private networks.

[0046] The data transmission layer includes a local transmission part, an edge side processing part, and a remote transmission part.

[0047] In the data transmission layer, the local transmission part is used to transmit the collected distribution network data stream to the edge side processing part to perform preliminary compression and cleaning of the data; the remote transmission part is used to transmit the distribution network data from the edge side preliminary processing to the data processing layer for unified scheduling.

[0048] The local transmission part is used to transmit the collected distribution network data stream to the edge side processing part. The data transmission methods that can be used include power line carrier communication, RS485 standard remote data acquisition communication interface, high-speed power line carrier-microwave power wireless dual-mode power communication module (High-speed Power Line Carrier-High Radio Frequency, HPLC-HRF), trusted wireless local area network (Wireless Local Area Network, WLAN) and other methods. Among them, the power line carrier has higher security and mainly transmits downlink operation control data. The RS485 remote data acquisition communication interface and the HPLC-HRF dual-mode power communication module mainly transmit system protection data. The trusted WLAN mainly transmits auxiliary monitoring data and electricity metering data.

[0049] The data processing devices used in the edge-side processing include local autonomous control centers, microgrid controllers, intelligent fusion terminals for substations, and smart energy units. At the edge, data cleansing technology is used to re-examine and verify the distribution network data stream, including data consistency checks and invalid value processing, to improve the reliability of the distribution network operation. Data compression technology is then used to reorganize the cleaned data stream, reducing data redundancy and storage space, thereby improving the efficiency of the distribution network operation.

[0050] The remote transmission part includes a power private network, a wireless public network and a soft-encrypted external wireless virtual private network. The power private network includes power optical fiber, power line carrier and power wireless private network, and is mainly used to transmit the operation control data and system protection data from the edge processing part of the data acquisition layer and the data transmission layer to the distribution automation system of the data processing layer. The wireless public network includes 4G and 5G networks, which are mainly used to transmit auxiliary monitoring data and electricity metering data in the distribution network data stream, and in the remote transmission part, they are concentrated by the Internet of Things management platform and the electricity information collection front-end and then transmitted to the enterprise middle platform of the data processing layer. The soft-encrypted external wireless virtual private network is mainly used to transmit external market data from multiple operating entities, and is stored in a third-party shared cloud platform in the external Internet area of ​​the data processing layer.

[0051] In the data processing layer, it is divided into data storage sublayer and data application sublayer according to hierarchical functions, and different types of data streams are logically partitioned into production control area, management information area and external Internet area according to the type of data processed and data security level requirements.

[0052] In the data storage sublayer, operation control data and system protection data are transmitted via the power private network to the distribution automation system of the production control area for storage; electricity metering data and auxiliary monitoring data are transmitted via the wireless public network to the enterprise central station of the management information area for storage; external market data is transmitted via the soft-encrypted external wireless virtual private network to the public cloud platform of the external Internet area for storage.

[0053] The data application sublayer includes a new generation of dispatching and computing support system, online power grid and planning system, power supply service command system and distribution network management application, electricity consumption information collection and marketing system, a new generation of power trading platform and a third-party management platform.

[0054] In the data application sublayer, the production control area is used to support the dispatching and command of the power grid. The systems therein include: a new generation of dispatching and computing support system, which is used to process operation control data and perform power dispatching and load management, and at the same time interact with the system of the management information area for data.

[0055] In the data application sublayer, the management information area is used for the management, evaluation and third-party interaction of distribution network data. The systems include: online power grid and planning system, which is used for the development planning and design of the power grid, which includes the forecast of future power demand, the design of the transmission and distribution network, the layout of substations, the direction of lines, etc.; the power supply service command system and distribution network management application are used for the construction, operation and maintenance of the distribution network to ensure that electricity can be delivered to each user safely and stably, and also include the management of distribution equipment, troubleshooting and other tasks; the electricity information collection and marketing system is used for electricity sales, user services and market management, covering electricity price setting, user electricity information management, customer service, marketing strategy formulation and other contents.

[0056] In the data application sublayer, the external Internet area is used to realize data sharing and interconnection between various systems inside and outside the power grid. The systems include: a new generation of power trading platform, which supports various trading modes in the power market and provides real-time analysis and prediction functions of market data; an Internet of Vehicles system, which is used to monitor the operating status of electric vehicles in real time, including location, power, mileage, analyze vehicle and charging data, and provide energy consumption analysis, driving behavior analysis and other services.

[0057] The third-party management platforms in the external Internet area also include third-party charging pile platforms used to manage and optimize the charging network of electric vehicles, provide status monitoring and usage management services for charging piles, and smart energy service platforms used to provide comprehensive management services for various energy sources such as electricity, natural gas, and thermal energy.

[0058] In S102, the specific process of data stream simulation transmission and processing is as follows:

[0059] Taking the tracked operation control data flow as an example, the data flow is generated by the simulated distributed power control element in the data acquisition layer, and the transmission path and data security level are determined according to the initial state. The simulated data packet is sent to the simulated local autonomous control center of the edge side processing part of the data transmission layer via the power line carrier.

[0060] The data stream undergoes data cleaning in a simulated local autonomous control center. Missing data is appropriately processed, outliers are identified and processed using statistical methods or machine learning algorithms, and duplicate data records are removed. The tracked data stream is then compressed using efficient data encoding methods such as Huffman coding and Run-Length coding for initial compression. Downsampling and data prediction models are then used to further reduce the data volume.

[0061] After processing at the edge, the data stream enters the distribution automation system at the data processing layer via the dedicated power network. The cloud-based big data platform can store, manage, and process massive amounts of data, ensuring efficient data access and processing. The distribution automation system uses data analysis tools and machine learning algorithms to intelligently analyze the data and make decisions such as fault location and isolation, local load optimization, and voltage regulation. Based on the analysis results, the system then provides control instructions, such as switching operations and load transfers. The resulting control instruction data stream is then transmitted back via the dedicated power network to the corresponding data acquisition layer terminal.

[0062] This data flow, through cloud platform data exchange, is forwarded to the enterprise mid-stage of the management information region and uploaded to the online power grid at the data application sub-layer, providing data support for the next-generation dispatching and computing support system at this sub-layer. This new-generation dispatching and computing support system uses data mining technology to discover potential patterns and regularities in the data, and is used to coordinate and optimize the province-wide power supply and demand balance, operational control, and safe and stable grid operation at a macro level. The generated control instructions are primarily transmitted to the high-voltage transmission and generation levels.

[0063] The simulation system for hierarchical zoning planning of distribution network data streams can form a typical model of a low-voltage distribution network through branch box simulation, user meter box simulation, switch simulation, line simulation, etc. At the same time, in order to generate different types of distribution network data streams to complete hierarchical and classified transmission simulation, the model can flexibly generate simulation terminal parameters such as loads, distributed power sources, and smart meters.

[0064] In the embodiment, a typical model of a low-voltage distribution network can be formed through branch box simulation, user meter box simulation, switch simulation, line simulation, etc. At the same time, in order to generate different types of distribution network data streams to complete hierarchical and classified transmission simulation, the model can flexibly generate simulation terminal parameters such as loads, distributed power sources, and smart meters.

[0065] When the terminal access scale of the simulation system with hierarchical partitioning planning of the distribution network data flow is small, the built-in event scheduler of the test scenario simulation platform system is used to synchronize the global clock, and the data flow queues transmitted between layers are maintained according to the clock sequence. When the terminal access scale of the simulation system with hierarchical partitioning planning of the distribution network data flow is large, distributed or parallel simulation is required to improve efficiency, and parallel simulation time management algorithms such as time step synchronization or optimistic parallel simulation are used to ensure that the simulation time on multiple processing nodes remains synchronized.

[0066] In the embodiment, when the scale of terminal access to the simulation system is small, the built-in event scheduler of the test scenario simulation platform system can be used to synchronize the global clock, and the data stream queues transmitted between layers can be maintained according to the clock sequence. When the scale of terminal access to the simulation system is large, distributed or parallel simulation is required to improve efficiency. Parallel simulation time management algorithms such as time-stepped synchronization or optimistic parallel simulation can be used to ensure that the simulation time on multiple processing nodes remains synchronized.

[0067] In step S103, the data processing layer model simulates the data processing process of the distribution automation system, generates corresponding control instruction data packets based on the received operation control data and the preset control strategy, and returns the obtained data packets to the data acquisition layer model;

[0068] Step S104: the data acquisition layer performs simulation calculations after receiving the command data packet of the control instruction from the distribution automation system, and sends the simulated data packet to the test scenario simulation platform system;

[0069] In step S105 , the test scenario simulation platform system analyzes the obtained data packet, updates the status of the data acquisition layer terminal according to the control instructions therein, and then returns to step S102 until the simulation process meets the termination condition.

[0070] In this embodiment, those skilled in the art should be aware that the termination condition of the simulation process can be adjusted according to actual conditions and is not specifically limited in this embodiment.

[0071] Another embodiment of the present invention, as Figure 2 The present invention discloses a distribution network data stream transmission and processing simulation device according to the simulation method for distribution network data stream hierarchical partition planning, comprising:

[0072] The data acquisition and temporary storage module 301 is used to acquire the power system distribution network data stream through the data processing engine and store it in the temporary storage module;

[0073] Operational Data Store (ODS) module 302 is used to synchronize the data in the temporary storage module and complete synchronization preparation work;

[0074] Data Warehouse Detail module 303 (DWD), used for processing the consolidated report of the data in the temporary storage module;

[0075] Data warehouse summary module 304 (Data Warehouse Summary, DWS), used for assembling data in the temporary storage module according to preset data types;

[0076] The tracking and query module 305 is used to track the formed simulation data flow, record the data flow transmission process, and provide corresponding external query services.

[0077] Another embodiment of the present invention discloses a computer storage medium; the computer-readable storage medium stores a computer program that, when executed, controls the device containing the computer-readable storage medium to execute the simulation method for hierarchical and partitioned planning of distribution network data flows described in the present invention. The specific implementation process has been described in detail in the aforementioned method and will not be repeated here.

[0078] In addition, an embodiment of the present invention further provides a computer device comprising: a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the simulation method described above in the embodiment is implemented. To avoid redundancy, further description is not repeated here. Alternatively, when the processor executes the computer program, the functions of the various modules / units of the simulation device described in the embodiment are implemented. Again, to avoid redundancy, a detailed description is not repeated here.

[0079] The computer device may be any computing device with corresponding functions, such as a desktop computer, laptop computer, PDA, server, or cloud server. The computer device may include, but is not limited to, a processor and memory. Those skilled in the art will appreciate that the computer device may include fewer or more components than shown, or may combine certain components or utilize different components. For example, the computer device may also include input / output devices, network access devices, and a bus.

[0080] The so-called processor can be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, as well as discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0081] Memory can be an internal storage unit of a computer device, such as a hard drive or memory. It can also be an external storage device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or flash memory card. Furthermore, memory can include both internal storage units and external storage devices. Memory is used to store computer programs and other programs and data required by the computer device, and can also temporarily store data that has been output or is about to be output.

[0082] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described apparatus, medium, and computer equipment can refer to the processes in the aforementioned simulation method embodiment and will not be repeated here.

[0083] The above-mentioned integrated device implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium and includes a number of instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) or a processor to perform some steps of the above-mentioned simulation method of each embodiment of the present invention. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program code.

[0084] The above embodiments are only preferred implementation plans of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made without departing from the principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A simulation method for hierarchical partitioning planning of distribution network data flow, characterized in that: The steps include: Step S101: Construct a transmission and processing model for the hierarchical and partitioned planning of distribution network data streams on a test scenario simulation platform system, and construct a simulation system for the hierarchical and partitioned planning of distribution network data streams; draw corresponding models of each layer in the simulation system, and synchronize the models of each layer. When the data stream is generated in the data acquisition layer, it will be transmitted to the upper layer through the communication connection method simulated by the corresponding module; The simulation system for the hierarchical partitioning planning of the distribution network data flow includes: a data acquisition layer, a data transmission layer and a data processing layer; the transmission and processing model for the hierarchical partitioning planning of the distribution network data flow includes: a data acquisition layer model, a data transmission layer model and a data processing layer model; Step S102: Real-time simulation of the transmission and processing model of the distribution network data flow hierarchical partition planning is performed through the test scenario simulation platform system to obtain the current system status, and at the same time, the status information with time stamp is uploaded to the test scenario simulation platform system according to a pre-set protocol; In step S103, the data processing layer model simulates the data processing process of the distribution automation system, generates corresponding control instruction data packets based on the received operation control data and the preset control strategy, and returns the obtained data packets to the data acquisition layer model; Step S104: the data acquisition layer performs simulation calculations after receiving the control instruction data packet from the distribution automation system, and sends the simulated data packet to the test scenario simulation platform system; In step S105, the test scenario simulation platform system analyzes the obtained data packet, updates the status of the data acquisition layer terminal according to the control instructions therein, and then returns to step S102 until the simulation process meets the termination condition; In the data processing layer, it is divided into a data storage sublayer and a data application sublayer according to hierarchical functions, and different types of data streams are logically partitioned into production control areas, management information areas, and external Internet areas according to the type of data processed and the data security level requirements.

2. The simulation method for hierarchical partitioning planning of distribution network data flow according to claim 1 is characterized in that: The data acquisition layer includes classified transmission of distribution network data streams and external market data streams of third-party multiple operating entities; the data transmission layer includes local transmission part, edge side processing part and remote transmission part; the data processing layer includes data storage sublayer and data application sublayer.

3. The simulation method for hierarchical partitioning planning of distribution network data flow according to claim 2 is characterized in that: In the data acquisition layer, the distribution network data flow is divided into operation control data, system protection data, auxiliary monitoring data and electricity metering data.

4. The simulation method for hierarchical partitioning planning of distribution network data flow according to claim 2 is characterized in that: In the data transmission layer, the local transmission part is used to transmit the collected distribution network data stream to the edge side processing part to perform preliminary compression and cleaning of the data; the remote transmission part is used to transmit the distribution network data from the edge side preliminary processing to the data processing layer for unified scheduling.

5. The simulation method for hierarchical partitioning planning of distribution network data flow according to claim 1 is characterized in that: The simulation system for hierarchical zoning planning of distribution network data streams can form a typical model of a low-voltage distribution network through branch box simulation, user meter box simulation, switch simulation, and line simulation. At the same time, in order to generate different types of distribution network data streams to complete hierarchical and classified transmission simulation, the model can flexibly generate load, distributed power supply, and smart meter simulation terminal parameters.

6. The simulation method for hierarchical partitioning planning of distribution network data flow according to claim 1 is characterized in that: When the terminal access scale of the simulation system with hierarchical partitioning planning of the distribution network data flow is small, the built-in event scheduler of the test scenario simulation platform system is used to synchronize the global clock, and the data flow queues transmitted between layers are maintained according to the clock sequence. When the terminal access scale of the simulation system with hierarchical partitioning planning of the distribution network data flow is large, distributed or parallel simulation is required to improve efficiency. Time step synchronization or optimistic parallel simulation and parallel simulation time management algorithm are used to ensure that the simulation time on multiple processing nodes remains synchronized.

7. A distribution network data stream transmission and processing simulation device according to any one of claims 1 to 6, which is applied to the simulation method of distribution network data stream hierarchical partitioning planning, characterized in that: include: A data acquisition and temporary storage module (301) is used to acquire the power system distribution network data stream through a data processing engine and store it in a temporary storage module; An operation data storage module (302) is used to synchronize the data in the temporary storage module and complete synchronization preparation work; The data warehouse detailed module (303) is used to process the data in the temporary storage module into a consolidated report; A data warehouse aggregation module (304) is used to assemble data in the temporary storage module according to preset data types; The tracking and query module (305) is used to track the formed simulation data flow, record the data flow transmission process, and provide corresponding external query services.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when running, controls the device where the computer-readable storage medium is located to execute the simulation method for hierarchical partitioning planning of distribution network data flow according to any one of claims 1 to 6.

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