Simulation method, system and device applied to layered and partitioned planning of data flow of power distribution network and medium

Abstract

The invention belongs to the technical field of power data flow transmission, and particularly relates to a simulation method, system and device applied to power distribution network data flow layering and partitioning planning and a medium, and the method comprises the following steps: constructing a power distribution network data flow layering and partitioning transmission model on a test scene simulation platform system; through real-time simulation of the model, state information with a time scale is uploaded to a platform system. And generating a corresponding control instruction data packet according to the operation control data and a preset control strategy and returning the control instruction data packet to the acquisition layer. And performing simulation after receiving the command data packet, sending the simulated data packet to a platform system for analysis, and updating the state of the data acquisition layer terminal according to a control instruction until a termination condition is met. Through analogue simulation, the process of generating, transmitting and processing the data flow of the power distribution network can be effectively verified on a computer simulation platform, simulation instance support is provided for layered and partitioned planning design of the power distribution network, and a planning scheme is provided for intelligent construction of the power 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 zoned planning of distribution network data stream. Background Art

[0002] As my country's power system develops towards intelligence, especially in the distribution network, there is a wide access to a large number of diversified power terminals such as distributed power sources and electric vehicles, which enables the distribution network to have certain active control and operation capabilities, becoming a frontier branch of the smart grid. At the same time, the power information collection work on the user side of the distribution network has gradually changed from the traditional centralized method to the distributed data stream processing direction, which has put forward higher requirements on the reliability and operation efficiency of the system. Therefore, the data flow management of the distribution network has become an important part of the intelligent and diversified development of the new power system.

[0003] However, the existing technology for the research on the data flow transmission and processing mechanism of the distribution network lacks a clear plan for the hierarchical and partitioned management of data flow. For the new power system, it is not clear how the data flows from different distribution network terminals are transmitted in the power grid according to their respective functions. In terms of simulation, the current research on the data flow transmission and processing mechanism of the distribution network lacks the use of software to realize physical simulation, so as to simulate the corresponding scenarios. The 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 object of the present invention is to provide a simulation method for hierarchical partition planning of distribution network data flow, which is characterized by comprising the following steps:

[0006] Step S101, constructing a transmission and processing model of the hierarchical partition planning of the distribution network data flow on the test scenario simulation platform system, and constructing a simulation system of the hierarchical partition planning of the distribution network data flow; drawing the corresponding models of each layer in the simulation system, and synchronizing between the models of each layer, when the data flow is generated in the data acquisition layer, it will be transmitted to the upper layer through the communication connection method of the synchronous simulation of the module to which it belongs; the simulation system of the hierarchical partition 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 partition planning of the distribution network data flow includes: a data acquisition layer model, a data transmission layer model and a data processing layer model;

[0007] Step S102, performing real-time simulation on the transmission and processing model of the distribution network data flow hierarchical partition planning through the test scenario simulation platform system to obtain the current system state, and uploading the state information with time stamp to the test scenario simulation platform system according to a preset protocol;

[0008] Step S103, the data processing layer model simulates the process of data processing by the distribution automation system, generates a corresponding control instruction data packet according to the received operation control data and the preset control strategy, and returns the obtained data packet to the data acquisition layer model;

[0009] Step S104, the data acquisition layer performs simulation calculation 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 collection layer components include classified transmission of distribution network data flows and external market data flows of third-party diversified operating entities; the data transmission layer components include local transmission parts, edge side processing parts and remote transmission parts; the data processing layer components include data storage sublayer and data application sublayer.

[0012] In the data collection 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 preliminarily processed from the edge side 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 flow can form a typical model of 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 classification transmission simulation, the model can flexibly generate simulation terminal parameters such as load, distributed power supply, smart meter, etc.

[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. 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 partition planning of the present invention, characterized in that it comprises:

[0018] The data acquisition and temporary storage module is used to acquire 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 carry out consolidated report processing on 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, the device where the computer-readable storage medium is located is controlled to execute the simulation method of the present invention for hierarchical partition planning of distribution network data flow.

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

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

[0026] Figure 1 A flow chart of the transmission and processing simulation method for hierarchical partition 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 A schematic diagram of the structure of a simulation system for 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 partition planning of distribution network data flow. The present invention is further described in detail below in conjunction with the accompanying drawings.

[0030] like Figure 1 The embodiment of the present invention shown discloses a simulation method for hierarchical partition planning of distribution network data flow, comprising the following steps:

[0031] Step S101, constructing a transmission and processing model of the hierarchical partition planning of the distribution network data flow on the test scenario simulation platform system, and constructing a simulation system of the hierarchical partition planning of the distribution network data flow; drawing the corresponding models of each layer in the simulation system, and synchronizing between the models of each layer, when the data flow is generated in the data acquisition layer, it will be transmitted to the upper layer through the communication connection method of the synchronous simulation of the module to which it belongs; the simulation system of the hierarchical partition 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 partition planning of the distribution network data flow includes: a data acquisition layer model, a data transmission layer model and a data processing layer model;

[0032] Step S102, performing real-time simulation on the transmission and processing model of the distribution network data flow hierarchical partition planning through the test scenario simulation platform system to obtain the current system state, and uploading the state information with time stamp to the test scenario simulation platform system according to a preset protocol;

[0033] Step S103, the data processing layer model simulates the process of data processing by the distribution automation system, generates a corresponding control instruction data packet according to the received operation control data and the preset control strategy, and returns the obtained data packet to the data acquisition layer model;

[0034] Step S104, the data acquisition layer performs simulation calculation 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 hierarchical and partitioned transmission and processing simulation process of the data stream can be viewed in the test scenario simulation platform system, and the status data of the system model during the simulation process can be retrieved. The specific implementation process of each step is described 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 collection layer components include classified transmission of distribution network data flows and external market data flows of third-party multiple operating entities; the data transmission layer components include local transmission parts, edge side processing parts and remote transmission parts; the data processing layer components include data storage sublayer and data application sublayer.

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

[0039] The data collection layer is used for real-time monitoring of distribution network terminals and power data collection; 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 centrally aggregate different types of data partitions and perform intelligent analysis and data mining on data streams.

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

[0041] In the data collection 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 consumption information collection data, which are transmitted to the data transmission layer via the 4G and 5G wireless public networks.

[0045] The external market data flow is generated by third-party diversified 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 preliminarily processed from the edge side 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 device used in the edge side processing part includes a local autonomous control center for edge processing, a microgrid controller, an intelligent fusion terminal for the substation area, a smart energy unit, etc. At the edge side, the data cleaning technology is used to re-examine and verify the distribution network data stream, including data consistency check and invalid value processing, to improve the reliability of the distribution network operation, and then the cleaned data stream is reorganized through data compression technology to reduce data redundancy and storage space, and improve 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, which 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 flow, 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 a data storage sublayer and a data application sublayer according to the hierarchical function, 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.

[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 storage in the management information area, and external market data is transmitted by a 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, power 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, and 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 to interact with the system in 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 transmission and distribution network, substation layout, line direction, 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 consumption information collection and marketing system is used for electricity sales, user services and market management, covering electricity price setting, user electricity consumption 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; a vehicle networking 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 of charging piles, and smart energy service platforms used to provide comprehensive management services for multiple 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 simulating distributed power control elements 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 processing part of the data transmission layer via a power line carrier.

[0060] The data stream is cleaned in the simulated local autonomous control center, the missing data is properly processed, the 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, and preliminary compression is performed through efficient data encoding methods such as Huffman encoding, Run-Length encoding, etc., and then the data volume is further compressed through downsampling and data prediction models.

[0061] After being processed on the edge side, the data stream enters the distribution automation system of the data processing layer through the power private network. The big data platform in the cloud can store, manage, and process massive amounts of data to ensure 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. Subsequently, the system provides control instructions based on the analysis results, such as switch operation, load transfer, etc. The generated control instruction data stream will be transmitted back from the power private network to the corresponding data acquisition layer terminal.

[0062] The data flow is forwarded to the enterprise middle station of the management information region through cloud platform data interaction, and uploaded to the online power grid of the data application sublayer, providing data support for the new generation of dispatching and computing support system of the data application sublayer. The new generation of dispatching and computing support system uses data mining technology to discover potential patterns and laws in the data, which is used to coordinate and optimize the power supply and demand balance, operation control and safe and stable operation of the power grid throughout the province from a macro level. The generated control instructions are mainly transmitted to the high-voltage transmission and power generation levels.

[0063] The simulation system for hierarchical zoning planning of distribution network data flow can form a typical model of 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 classification transmission simulation, the model can flexibly generate simulation terminal parameters such as load, distributed power supply, smart meter, etc.

[0064] In the described 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. 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 described embodiment, when the access scale of the simulation system terminals 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 access scale of the simulation system terminals 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] Step S103, the data processing layer model simulates the process of data processing by the distribution automation system, generates a corresponding control instruction data packet according to the received operation control data and the preset control strategy, and returns the obtained data packet to the data acquisition layer model;

[0068] Step S104, the data acquisition layer performs simulation calculation 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 A distribution network data stream transmission and processing simulation device according to the simulation method for distribution network data stream hierarchical partition planning according to the present invention is disclosed, 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;

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

[0075] A 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, and when the computer program is executed, the device where the computer readable storage medium is located is controlled to execute the simulation method for hierarchical partition planning of distribution network data flow according to the present invention. Since the specific implementation process has been described in detail in the aforementioned method, it will not be repeated here.

[0078] In addition, an embodiment of the present invention further provides a computer device, which includes: a processor, a memory, and a computer program stored in the memory and can be run on the processor. When the processor executes the computer program, the aforementioned simulation method in the embodiment is implemented. In order to avoid redundancy, further description is not repeated here. Alternatively, when the processor executes the computer program, the functions of each module / unit of the simulation device in the embodiment are implemented. Similarly, in order to avoid redundancy, it is not described in detail here.

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

[0080] The so-called processor can be a central processing unit (CPU), or 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] The memory may be an internal storage unit of a computer device, such as a hard disk or memory. The memory may also be an external storage device of a computer device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash memory card, etc. Furthermore, the memory may include both an internal storage unit and an external storage device. The memory is used to store computer programs and other programs and data required by the computer device, and may also temporarily store data that has been output or is to be output.

[0082] Those skilled in the art can 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, including a number of instructions for a computer device (which can be a personal computer, a server, or a 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: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0084] The above embodiments are only preferred implementation schemes of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, 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 partition planning of distribution network data flow, characterized in that: The steps include: Step S101, constructing a transmission and processing model of the hierarchical partition planning of the distribution network data flow on the test scenario simulation platform system, and constructing a simulation system of the hierarchical partition planning of the distribution network data flow; drawing the corresponding models of each layer in the simulation system, and synchronizing between the models of each layer. When the data flow is generated in the data acquisition layer, it will be transmitted to the upper layer through the communication connection method of the synchronous simulation of the module to which it belongs; The simulation system for the hierarchical partition 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 partition 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, performing real-time simulation on the transmission and processing model of the distribution network data flow hierarchical partition planning through the test scenario simulation platform system to obtain the current system state, and uploading the state information with time stamp to the test scenario simulation platform system according to a preset protocol; Step S103, the data processing layer model simulates the process of data processing by the distribution automation system, generates a corresponding control instruction data packet according to the received operation control data and the preset control strategy, and returns the obtained data packet to the data acquisition layer model; Step S104, the data acquisition layer performs simulation calculation 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; 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.

2. The simulation method for hierarchical partition planning of distribution network data flow according to claim 1 is characterized in that: The data collection layer components include classified transmission of distribution network data flows and external market data flows of third-party diversified operating entities; the data transmission layer components include local transmission parts, edge side processing parts and remote transmission parts; the data processing layer components include data storage sublayer and data application sublayer.

3. The simulation method for hierarchical partition planning of distribution network data flow according to claim 2 is characterized in that: In the data collection 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 partition 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 preliminarily processed from the edge side to the data processing layer for unified scheduling.

5. The simulation method for hierarchical partition planning of distribution network data flow according to claim 1 is characterized in that: 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.

6. The simulation method for hierarchical partition 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 flow can form a typical model of 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 classification transmission simulation, the model can flexibly generate simulation terminal parameters such as load, distributed power supply, smart meter, etc.

7. The simulation method for hierarchical partition 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. 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.

8. A distribution network data stream transmission and processing simulation device according to any one of claims 1 to 7, which is applied to the simulation method of distribution network data stream hierarchical partition planning, characterized in that: include: A data acquisition and temporary storage module (301), 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 perform consolidated report processing on the data in the temporary storage module; A data warehouse aggregation module (304), used for assembling 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.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed, controls the device where the computer-readable storage medium is located to execute the simulation method for hierarchical partition planning of distribution network data flow as described in any one of claims 1 to 7.

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