Communication deployment method for monitoring intelligent power distribution network

Abstract

The invention provides a communication deployment method for monitoring an intelligent power distribution network, and belongs to the technical field of telecommunication, and the method comprises the steps: 1, analyzing a topological structure of the power distribution network, and determining a topological graph of the power distribution network; 2, analyzing the topological graph of the power distribution network, and further determining a data transmission demand coefficient of each node in the power distribution network; step 3, determining a communication mode of each area in the power distribution network based on the data transmission demand coefficient of each node in the power distribution network, and further generating a preliminary communication network layout in combination with the topological graph of the power distribution network; step 4, carrying out performance simulation on the communication network based on the preliminary communication network layout so as to obtain a network performance analysis report; and step 5, based on the network performance analysis report, optimizing and adjusting the communication network layout, and further determining a final communication network deployment scheme.

Description

Technical Field

[0001] The present invention relates to the field of electrical communication technology, and in particular to a communication deployment method for monitoring a smart distribution network. Background Art

[0002] With the continuous development of smart grid technology, smart distribution network, as an important part of the power system, has gradually realized the interconnection of power equipment, sensors, control systems and other equipment. These devices transmit data and remotely control through communication networks to ensure the efficient operation of the distribution network.

[0003] At present, existing communication deployment solutions often rely on simple communication network design, failing to fully consider the distribution network topology and the actual data transmission requirements of nodes, resulting in unstable communication network performance and low data transmission efficiency, affecting the reliability and real-time performance of the smart distribution network.

[0004] Therefore, the present invention provides a communication deployment method for monitoring a smart distribution network. Summary of the invention

[0005] The present invention provides a communication deployment method for monitoring a smart distribution network, which is used to analyze the topological structure of the distribution network and the data transmission requirements of the nodes, and combine the performance simulation and optimization of the communication network to finally achieve efficient and stable communication network deployment. The method can solve the problems of unreasonable communication network layout and insufficient performance in the prior art, improve the communication efficiency and system reliability of the smart distribution network, optimize the communication network of the smart distribution network, improve the reliability and real-time performance of data transmission, ensure the stable operation of the distribution network under different load conditions, and improve the overall performance of the smart grid.

[0006] The present invention provides a communication deployment method for monitoring a smart distribution network, comprising:

[0007] Step 1: Analyze the topological structure of the distribution network and determine the distribution network topology diagram;

[0008] Step 2: Analyze the distribution network topology diagram to determine the data transmission demand coefficient of each node in the distribution network;

[0009] Step 3: Determine the communication mode of each area in the distribution network based on the data transmission demand coefficient of each node in the distribution network, and then generate a preliminary communication network layout in combination with the distribution network topology map;

[0010] Step 4: Perform performance simulation on the communication network based on the preliminary communication network layout, and then obtain a network performance analysis report;

[0011] Step 5: Based on the network performance analysis report, optimize and adjust the communication network layout to determine the final communication network deployment plan.

[0012] The present invention provides a communication deployment method for monitoring an intelligent distribution network, analyzing the topological structure of the distribution network, and then determining a topological map of the distribution network, including:

[0013] Collect and organize all equipment information of the distribution network through the historical database of the distribution network, and then generate an initial list containing all equipment information;

[0014] Perform functional analysis on the initial list to determine the functions and communication requirements of each device and establish a comparison table of the functions and communication requirements of each device;

[0015] The geographic location of each device is collected using a preset collection tool, and several regions are divided based on the geographic location and function of all devices;

[0016] Perform path analysis on the initial list to determine the physical connection paths between all devices based on the area where each device is located;

[0017] Generate a distribution network topology diagram based on the comparison table of functions and communication requirements of all devices and the physical connection paths between all devices.

[0018] The present invention provides a communication deployment method for monitoring an intelligent distribution network, analyzing a distribution network topology map, and then determining a data transmission demand coefficient of each node in the distribution network, including:

[0019] Perform information analysis on the distribution network topology map, and then determine the node information of each node in the distribution network topology map;

[0020] Processing the node information of each node in the distribution network topology diagram, and then determining several data types required to be transmitted by each node and the node type of each node;

[0021] Determine the transmission-related parameters corresponding to each data required to be transmitted by each node based on the preset type-transmission data table and the several data types required to be transmitted by each node;

[0022] Determine a node priority of each node based on the node type of each node and a preset type-priority data table;

[0023] Determine the node weight of each node based on the node priority of each node and a preset mapping rule;

[0024] The data transmission requirement coefficient of each node is determined based on the node weight of each node and the transmission-related parameters corresponding to each type of data required to be transmitted by each node:

[0025]

[0026] Among them, T i is the data transmission demand coefficient of the ith node, D i is the data volume of the ith node, F i is the transmission frequency of the ith node, P i is the data priority of the ith node, L i is the network delay of the ith node, ∈ is the preset adjustment parameter, W i is the weight of the i-th node, B i is the available bandwidth of the ith node, D max is the preset maximum data volume, F max Preset maximum transmission frequency, P max The default is the highest priority, L max is the preset maximum network delay and is the preset maximum bandwidth.

[0027] The present invention provides a communication deployment method for monitoring an intelligent distribution network, which determines the communication mode of each area in the distribution network based on the data transmission demand coefficient of each node in the distribution network, and then generates a preliminary communication network layout, including:

[0028] Determining a transmission demand coefficient for each area in the distribution network based on a data transmission demand coefficient for each node in the distribution network;

[0029] Performing a first match based on the transmission demand coefficient of each area in the distribution network and the preset communication demand type and the preset coefficient range corresponding to each type, thereby determining the communication mode type of each area;

[0030] Determine a second matching coefficient corresponding to each type of communication mode;

[0031] Determine the communication mode of each area in the distribution network based on the second matching coefficient corresponding to each communication mode type and the transmission demand coefficient of each area;

[0032] The communication mode of the distribution network is determined based on the communication mode of each area in the distribution network, and then a preliminary communication network layout is generated.

[0033] The present invention provides a communication deployment method for monitoring a smart distribution network, wherein the communication mode types include: a high-speed communication mode type, a low-speed communication mode type and a simple communication mode type.

[0034] The present invention provides a communication deployment method for monitoring a smart distribution network, which determines a second matching coefficient corresponding to each type of communication mode, including:

[0035] Based on the preset database, relevant parameters for determining each type of communication mode are obtained, and then a number of second matching coefficients corresponding to each type of communication mode are determined:

[0036]

[0037] Among them, S1 j is the second matching coefficient corresponding to the jth communication mode under the high-speed communication mode type, R j is the reliability coefficient of the jth communication mode under the high-speed communication mode type, C j is the cost coefficient of the jth communication mode under the high-speed communication mode type, W j is the actual bandwidth coefficient of the jth communication mode under the high-speed communication mode type, α1 is the cost weight corresponding to the high-speed communication mode type, β1 is the bandwidth weight corresponding to the high-speed communication mode type, S2 j is the second matching coefficient corresponding to the j-th communication mode under the low-speed communication mode type, is the coverage coefficient of the jth communication mode under the low-speed communication mode type, is the cost coefficient of the jth communication mode under the low-speed communication mode type, is the reliability coefficient of the jth communication mode under the low-speed communication mode type, is the actual bandwidth coefficient of the jth communication mode under the low-speed communication mode type, α2 is the cost weight corresponding to the high-speed communication mode type, β2 is the bandwidth weight corresponding to the high-speed communication mode type, S3 j is the second matching coefficient corresponding to the jth communication mode under the simple communication mode type, is the reliability coefficient of the jth communication mode under the simple communication mode type, is the cost coefficient of the jth communication mode under the simple communication mode type, is the actual bandwidth coefficient of the jth communication mode under the simple communication mode type, is the deployment difficulty coefficient of the jth communication method under the simple communication method type.

[0038] The present invention provides a communication deployment method for monitoring a smart distribution network, which determines the communication mode of each area in the distribution network based on a second matching coefficient corresponding to each communication mode type and a transmission demand coefficient of each area, including:

[0039] The second matching coefficients of all communication modes corresponding to each communication mode type are sorted in a preset order, thereby generating a threshold value table corresponding to each communication mode type;

[0040] Based on the threshold table corresponding to each communication mode type and the transmission demand coefficient of each area, the threshold range of each communication mode type corresponding to each area is determined, and then the communication mode corresponding to each area is determined.

[0041] The present invention provides a communication deployment method for monitoring a smart distribution network, which performs performance simulation on a communication network based on a preliminary communication network layout, and then obtains a network performance analysis report, including:

[0042] Build a communication network model based on the preset algorithm and preliminary communication network layout;

[0043] Obtaining device and link parameters in the communication network model based on a preset specification parameter table, and then starting the simulation process in combination with a preset simulation tool and a preset simulation time span and step size;

[0044] Collect data related to the simulation process and key performance indicators to generate a network performance analysis report.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] By analyzing the topological structure of the distribution network and the data transmission requirements of the nodes, combined with the performance simulation and optimization of the communication network, an efficient and stable communication network deployment is finally achieved. This method can solve the problems of unreasonable communication network layout and insufficient performance in the existing technology, improve the communication efficiency and system reliability of the smart distribution network, optimize the communication network of the smart distribution network, improve the reliability and real-time performance of data transmission, ensure the stable operation of the distribution network under different load conditions, and improve the overall performance of the smart grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 It is a flow chart of a communication deployment method for monitoring a smart distribution network provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Embodiment 1:

[0051] The embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, such as Figure 1 As shown, including:

[0052] Step 1: Analyze the topological structure of the distribution network and determine the distribution network topology diagram;

[0053] Step 2: Analyze the distribution network topology diagram to determine the data transmission demand coefficient of each node in the distribution network;

[0054] Step 3: Determine the communication mode of each area in the distribution network based on the data transmission demand coefficient of each node in the distribution network, and then generate a preliminary communication network layout in combination with the distribution network topology map;

[0055] Step 4: Perform performance simulation on the communication network based on the preliminary communication network layout, and then obtain a network performance analysis report;

[0056] Step 5: Based on the network performance analysis report, optimize and adjust the communication network layout to determine the final communication network deployment plan.

[0057] In this embodiment, the topological structure of the distribution network is analyzed, and then the topological diagram of the distribution network is determined, including: topological structure analysis of the distribution network: the topological structure of the distribution network refers to the connection relationship between various electrical equipment (such as substations, transmission lines, distribution transformers, power equipment, etc.) in the power system. In this step, it is necessary to analyze how the various parts of the distribution network are connected together through different lines and equipment. The analysis process is mainly to understand the structure of the entire power grid, clarify the location of each power equipment and the communication and power transmission relationship between them, and determine the topological diagram of the distribution network: after the analysis is completed, the topological diagram of the distribution network is drawn based on these connection relationships. The topological diagram is a graphical representation that shows the connection relationship between various devices in the distribution network. The topological diagram can be in the form of a network diagram, in which each node represents a device and each edge represents the connection between devices. For example: suppose that the distribution network of a city includes three substations, which are connected by several high-voltage transmission lines, and multiple distribution transformers are distributed in different areas, and finally provide power supply to residential users. In this step, the topological diagram of the distribution network is drawn after analysis, showing the relationship between each substation, distribution transformer and user.

[0058] In this embodiment, the preliminary communication network layout refers to the preliminary planning of the deployment mode of the communication network based on the topological diagram of the distribution network and the data transmission demand coefficient of each node. This layout determines the communication mode between different nodes and takes into account the traffic demand for data transmission. The goal of the layout is to ensure that the network can efficiently and safely transmit the data required for the operation of the distribution network. For example: in the distribution network, real-time data exchange is required between the substation and the distribution transformer, and high-speed data transmission may be selected through optical fiber. The communication between the distribution transformer and the user terminal may choose to use wireless technology (such as Zigbee or LTE) for data transmission. The preliminary communication network layout will define the communication technology and path between these devices.

[0059] In this embodiment, based on the network performance analysis report, the communication network layout is optimized and adjusted, including: Network performance analysis report: This report contains data obtained by simulating or testing the network layout, mainly including performance indicators such as network delay, throughput, bandwidth utilization, reliability, etc. Through the performance analysis report, the bottlenecks, potential failure points and areas where the performance does not meet the standards of the communication network can be identified, and the communication network layout can be optimized and adjusted: According to the results of the performance analysis report, the optimization adjustment refers to improving the preliminary communication network layout to improve its performance. For example, it may be necessary to increase the bandwidth in certain areas, or change the communication mode of certain nodes to reduce communication delay or improve reliability. The purpose of optimization is to ensure that the communication network can work efficiently and stably during the operation of the distribution network. For example: If the performance analysis report shows that the communication in some distribution transformer areas has a problem of excessive delay, the communication path may be adjusted to select a shorter transmission route or a more efficient communication technology (for example, switching from LTE to a fiber optic connection). Through this optimization, network delay is reduced and data transmission efficiency is improved.

[0060] In this embodiment, the communication network deployment plan is the final implementation plan, which clarifies the specific deployment details of each node, each communication path and communication technology in the communication network. The deployment plan usually includes equipment selection, communication mode, detailed diagram of network topology, performance guarantee measures, etc. It is the final result obtained based on the previous analysis, layout and optimization adjustment, and provides guidance for subsequent actual deployment. For example, the communication network deployment plan may specify the use of optical fiber network to connect distribution transformers in substations, and use wireless communication (such as LoRa or 5G technology) in more remote areas. The deployment plan will also clarify which areas need to install communication relay stations, which nodes require specific equipment to support high data transmission requirements, and how to ensure the reliability and security of the communication network. The beneficial effects of the above technical solution: by analyzing the topological structure of the distribution network and the data transmission requirements of the nodes, combined with the performance simulation and optimization of the communication network, an efficient and stable communication network deployment is finally achieved. This method can solve the problems of unreasonable communication network layout and insufficient performance in the prior art, improve the communication efficiency and system reliability of the smart distribution network, optimize the communication network of the smart distribution network, improve the reliability and real-time performance of data transmission, ensure the stable operation of the distribution network under different load conditions, and improve the overall performance of the smart grid.

[0061] The beneficial effects of the above technical solution are: by analyzing the topological structure of the distribution network and the data transmission requirements of the nodes, combined with the performance simulation and optimization of the communication network, an efficient and stable communication network deployment is finally achieved. This method can solve the problems of unreasonable communication network layout and insufficient performance in the prior art, improve the communication efficiency and system reliability of the smart distribution network, optimize the communication network of the smart distribution network, improve the reliability and real-time performance of data transmission, ensure the stable operation of the distribution network under different load conditions, and improve the overall performance of the smart grid.

[0062] Embodiment 2:

[0063] The embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, analyzing the topological structure of the distribution network, and then determining a topological map of the distribution network, including:

[0064] Collect and organize all equipment information of the distribution network through the historical database of the distribution network, and then generate an initial list containing all equipment information;

[0065] Perform functional analysis on the initial list to determine the functions and communication requirements of each device and establish a comparison table of the functions and communication requirements of each device;

[0066] The geographic location of each device is collected using a preset collection tool, and several regions are divided based on the geographic location and function of all devices;

[0067] Perform path analysis on the initial list to determine the physical connection paths between all devices based on the area where each device is located;

[0068] Generate a distribution network topology diagram based on the comparison table of functions and communication requirements of all devices and the physical connection paths between all devices.

[0069] In this embodiment, the initial list is a list containing all equipment information collected and sorted from the historical database of the distribution network, including basic information of all equipment in the distribution network, such as equipment name, model, location, status, communication capability, etc. It is the basis for subsequent analysis, planning and deployment. Assuming that there are multiple substations, distribution transformers, power lines and other equipment in the distribution network, the initial list may include the equipment number, type, installation location, use status (such as normal operation, maintenance) of each substation, etc. This information is obtained based on the historical database of the distribution network and integrated into the list.

[0070] In this embodiment, the functional analysis is to conduct an in-depth analysis of each device in the initial list to determine the function of each device and its role in the distribution network. For example, in the initial list, the equipment information of a substation may be included. Through functional analysis, it can be concluded that the function of the substation is to perform voltage regulation and power distribution, and the communication requirement is to be able to monitor voltage and current data in real time. Therefore, the functional analysis of the substation equipment may clarify that it needs to have the ability of remote control and data collection.

[0071] In this embodiment, the functions and communication requirements of each device: the function of the device refers to the operation or task performed by the device in the distribution network; the communication requirements refer to the communication capabilities (such as data transmission speed, reliability, communication method, etc.) required by the device to achieve its function. These requirements include how to exchange information between devices, the required bandwidth, latency requirements, data security, etc. Suppose there is an intelligent distribution transformer, whose function is to monitor current and voltage data in real time and automatically adjust according to the load conditions. Its communication requirements may include the ability to upload data to the central monitoring system at a frequency of once a minute, and the need to ensure low latency and high reliability of data transmission.

[0072] In this embodiment, path analysis is to analyze the connection relationship between the devices in the initial list, determine the physical connection path between the devices, and help understand which devices need to be directly connected, which devices communicate through relay devices, or connect wirelessly. Path analysis helps to determine the topology of the communication network and provides a basis for subsequent network layout. It is assumed that some devices in the distribution network are connected through fiber optic lines, while other devices are linked through wireless communication. Through path analysis, it can be clear which devices are connected through fiber optic lines and which devices communicate through Wi-Fi or LTE.

[0073] In this embodiment, the physical connection path between all devices is determined in combination with the region where each device is located: in this process, the geographical location of each device and the region where they are located are taken into account, and the physical connection path between devices is determined based on the regional division. The division of regions is usually achieved based on device functions, geographical locations, and network communication requirements. For example, in the distribution network, devices in the city center and devices in the suburbs may be connected differently. The city center may have dense fiber optic connections, while the suburbs may rely more on wireless communications. In this case, the physical connection path of the device will be determined based on the needs and actual conditions of different regions.

[0074] In this embodiment, a distribution network topology map is generated: by comprehensively analyzing the function and communication requirement comparison table of the equipment and the physical connection path between the equipment, a topology map of the distribution network is finally formed. The topology map is a graphical display of the connection relationship and communication mode between the equipment in the distribution network. It can help to achieve the optimal layout of the distribution network equipment and ensure the efficient and stable operation of the network. For example: after the above analysis, the topology map of the distribution network will clearly show the connection status and communication path of each substation, distribution transformer, sensor and other equipment. For example, the substation in the city center may be connected to the distribution transformer and other substations through optical fiber, while the equipment in the remote area communicates with the main network through wireless communication. The topology map can help operation and maintenance personnel intuitively understand the structure and communication requirements of the distribution network, which is convenient for subsequent deployment and maintenance.

[0075] The beneficial effects of the above technical solution are as follows: through systematic analysis of the distribution network topology, it can effectively integrate equipment information, functional requirements and geographical location, optimize the connection paths between equipment, ensure the efficient operation of the communication network, and establish a comparison table of functions and communication requirements to accurately match the communication requirements and physical connection methods of the equipment, thereby improving the network's reliability and data transmission efficiency, and ultimately generating a reasonable distribution network topology map, which helps to reduce deployment costs and improve operation and maintenance efficiency.

[0076] Embodiment 3:

[0077] The embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, analyzing a distribution network topology map, and then determining a data transmission demand coefficient of each node in the distribution network, including:

[0078] Perform information analysis on the distribution network topology map, and then determine the node information of each node in the distribution network topology map;

[0079] Processing the node information of each node in the distribution network topology diagram, and then determining several data types required to be transmitted by each node and the node type of each node;

[0080] Determine the transmission-related parameters corresponding to each data required to be transmitted by each node based on the preset type-transmission data table and the several data types required to be transmitted by each node;

[0081] Determine a node priority of each node based on the node type of each node and a preset type-priority data table;

[0082] Determine the node weight of each node based on the node priority of each node and a preset mapping rule;

[0083] The data transmission requirement coefficient of each node is determined based on the node weight of each node and the transmission-related parameters corresponding to each type of data required to be transmitted by each node:

[0084]

[0085] Among them, T i is the data transmission demand coefficient of the ith node, D i is the data volume of the ith node, F i is the transmission frequency of the ith node, P i is the data priority of the ith node, L i is the network delay of the ith node, ∈ is the preset adjustment parameter, W i is the weight of the i-th node, B i is the available bandwidth of the ith node, D max is the preset maximum data volume, F max Preset maximum transmission frequency, P max The default is the highest priority, L max is the preset maximum network delay and is the preset maximum bandwidth.

[0086] In this embodiment, the information analysis of the distribution network topology map refers to the extraction, classification, processing and analysis of all the information contained in the distribution network topology map. This process aims to clarify the detailed information of each node in the distribution network, including the node type, the physical connection between nodes, the device status, the required communication parameters, etc. For example, in the topology map of the distribution network, it may include multiple substations, distribution transformers and terminal equipment. Through information analysis, the detailed information such as the function, location, connection relationship, etc. of each node (such as substation, distribution transformer, etc.) can be extracted. For example, whether a node in the analysis diagram is a substation or a distribution transformer, the communication demand and data volume of its area, etc.

[0087] In this embodiment, the node information refers to specific data related to each node in the distribution network topology diagram, including device type, node location, communication requirements, type of data to be transmitted, transmission frequency, priority, etc. The node information of each node helps to determine its function in the distribution network and its requirements for data transmission. Assuming that there is a substation node in the distribution network, the node information may include the geographical location of the substation (such as the city center or remote area), the voltage regulation task it is responsible for, the type of data transmitted (such as voltage, current, load, etc.), the required data transmission frequency (such as once a minute) and the communication priority of the node.

[0088] In this embodiment, the node type refers to the classification of each node in the distribution network, and each type of node may have different functions and communication requirements. Common node types may include substations, distribution transformers, terminal equipment (such as meters, sensors), monitoring equipment, etc. Different types of nodes may have different data transmission requirements and priorities. For example, there may be two types of nodes in the distribution network: Substation node: Its function is voltage regulation and power distribution. It may need to transmit real-time voltage, current, and power data. The data transmission frequency is higher and the priority is higher. Distribution transformer node: Its function is current regulation. It may only need to transmit current data. The data transmission frequency is lower and the priority is lower.

[0089] In this embodiment, the mapping rules are predefined and used to associate specific attributes of nodes (such as node type, data priority, etc.) with corresponding behaviors or parameters (such as transmission frequency, data volume, etc.). The mapping rules help determine the priority, required bandwidth, delay requirements, etc. of different types of nodes in data transmission. It is set according to the design requirements and system performance requirements of the distribution network. It is assumed that the mapping rules are as follows:

[0090] Substation nodes: The highest priority, real-time data transmission is required, requiring low latency and high bandwidth. Distribution transformer nodes: Medium priority, low data transmission frequency, high latency allowed, and low bandwidth requirements. Terminal device nodes: The lowest priority, data is transmitted only in specific circumstances, and bandwidth requirements are very low. Based on this mapping rule, the system can automatically determine the data transmission requirement coefficient for each node, thereby providing support for communication deployment and optimization.

[0091] In this embodiment, The priority part is increased by 1 to ensure that even if P i =0, it still has a certain priority value;

[0092] In this embodiment, ∈ is a preset adjustment parameter, a very small value (such as 0.0001), used to avoid L i A value of 0 results in an invalid denominator.

[0093] The beneficial effects of the above technical solution are: by analyzing the distribution network topology, processing node information and combining preset parameters, the data transmission demand coefficient of each node can be accurately determined. By considering multiple factors such as data type, transmission parameters, priority, node weight, etc., the communication demand analysis between nodes can be optimized to ensure the efficiency and stability of data transmission, effectively improve the communication resource configuration of the distribution network, optimize bandwidth utilization, reduce network latency, and improve the reliability and operation efficiency of the system.

[0094] Embodiment 4:

[0095] The embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, which determines the communication mode of each area in the distribution network based on the data transmission demand coefficient of each node in the distribution network, and then generates a preliminary communication network layout, including:

[0096] Determining a transmission demand coefficient for each area in the distribution network based on a data transmission demand coefficient for each node in the distribution network;

[0097] Performing a first match based on the transmission demand coefficient of each area in the distribution network and the preset communication demand type and the preset coefficient range corresponding to each type, thereby determining the communication mode type of each area;

[0098] Determine a second matching coefficient corresponding to each type of communication mode;

[0099] Determine the communication mode of each area in the distribution network based on the second matching coefficient corresponding to each communication mode type and the transmission demand coefficient of each area;

[0100] The communication mode of the distribution network is determined based on the communication mode of each area in the distribution network, and then a preliminary communication network layout is generated.

[0101] In this embodiment, the transmission demand coefficient of each area in the distribution network is determined based on the data transmission demand coefficient of each node in the distribution network. Each area in the distribution network is composed of multiple nodes (such as substations, distribution transformers, terminal equipment, etc.), and each node has its own data transmission demand coefficient, which represents the data transmission volume, frequency, priority, etc. required by the node. By summarizing or weighted averaging the transmission demand coefficients of these nodes, the transmission demand coefficient of the entire area can be calculated. This coefficient reflects the overall demand for data transmission of all nodes in the area, thereby determining the communication mode and network design of the area. Assume that there is an area in the distribution network that contains multiple substations, distribution transformers and terminal equipment. The data transmission demand coefficient of each substation node is high because it needs to transmit voltage and current data frequently; while the data transmission demand coefficient of the terminal equipment is low, and it may only need to transmit metering data regularly. By weighting the demand coefficients of all nodes in the area, the overall transmission demand coefficient of the area (for example, 2 times the data volume and 1 times the frequency requirement) is obtained, so as to select a suitable communication mode for the area.

[0102] In this embodiment, the first matching refers to matching the transmission demand coefficient of each area with the preset communication demand type (such as optical fiber, wireless, PLC, etc.). The preset communication demand types will have their own characteristics, such as transmission rate, bandwidth requirements, delay, etc., and each communication method will have an adaptive coefficient range. By comparing the transmission demand coefficient of each area with the preset coefficient range of these communication types, the type of communication method that best suits the area is determined. Assuming that the transmission demand coefficient of a certain area is 2 (i.e., a higher data transmission demand), and in the preset communication demand type, the coefficient range of high speed is 1 to 5, which is suitable for areas with higher data demand; and the coefficient range of low-speed communication is 0 to 3, which is suitable for areas with low to medium data demand. According to the first matching, the demand coefficient 2 of the area is compared with these communication types, and optical fiber communication is selected as the most suitable communication method type.

[0103] The beneficial effects of the above technical solution are: through the node-based data transmission demand coefficient, the communication mode of each area of ​​the distribution network is reasonably determined, and then a preliminary communication network layout is generated. This method combines regional transmission demand, communication demand type and matching coefficient, which helps to optimize the configuration of communication resources, ensure the accurate docking of communication needs in different regions, improve communication efficiency and stability, thereby reducing network congestion and delay, and enhancing the reliability and flexibility of the distribution network.

[0104] Embodiment 5:

[0105] An embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, wherein the communication mode types include: a high-speed communication mode type, a low-speed communication mode type, and a simple communication mode type.

[0106] In this embodiment, high-speed communication mode types refer to those that can provide high bandwidth and low latency, and are suitable for nodes that require large amounts of data transmission or high-frequency data interaction. Generally, this communication mode has high cost and complexity, but can meet application scenarios with high requirements for real-time and data volume, such as optical fiber communication. It is suitable for distribution network nodes that require high-speed, large-volume data transmission, such as communication between substations and data centers, for real-time monitoring of power grid status, data collection and analysis;

[0107] In this embodiment, the low-speed communication mode type refers to those with low transmission rates, which are suitable for scenarios with small data volumes and low real-time requirements. This mode has relatively low bandwidth and resource utilization and is suitable for nodes with low data transmission frequencies, such as wireless communications (such as NB-IoT). It is suitable for terminal devices or distribution boxes with low data transmission requirements. The main data transmitted may be the status of the device, operation logs, etc., and the transmission frequency is low;

[0108] In this embodiment, the simple communication mode type refers to those communication modes that are simple to implement and low in cost, and are usually used in scenarios that do not require high bandwidth or frequent data exchange. Their transmission rate may be low, but they can meet some basic communication needs. Simple communication mode type: for example, PLC communication (power line carrier communication). It is suitable for simple monitoring equipment in power distribution systems, mainly transmitting the basic operating status of power equipment, with simple communication methods and low cost, but the transmission needs it adapts to are relatively basic.

[0109] The beneficial effects of the above technical solution are as follows: by dividing the communication modes into three types: high speed, low speed and simple, and selecting and deploying them according to the specific needs of the distribution network, the adaptability and efficiency of the communication network are effectively improved. This method can reasonably allocate resources according to the transmission needs of different regions or nodes, optimize the network architecture, reduce costs and ensure the communication quality of different regions, and enhance the stability and reliability of the smart distribution network.

[0110] Embodiment 6:

[0111] An embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, and determines a second matching coefficient corresponding to each type of communication mode, including:

[0112] Based on the preset database, relevant parameters for determining each type of communication mode are obtained, and then a number of second matching coefficients corresponding to each type of communication mode are determined:

[0113]

[0114] Among them, S1 j is the second matching coefficient corresponding to the jth communication mode under the high-speed communication mode type, Rj is the reliability coefficient of the jth communication mode under the high-speed communication mode type, C j is the cost coefficient of the jth communication mode under the high-speed communication mode type, W j is the actual bandwidth coefficient of the jth communication mode under the high-speed communication mode type, α1 is the cost weight corresponding to the high-speed communication mode type, β1 is the bandwidth weight corresponding to the high-speed communication mode type, S2 j is the second matching coefficient corresponding to the j-th communication mode under the low-speed communication mode type, is the coverage coefficient of the jth communication mode under the low-speed communication mode type, is the cost coefficient of the jth communication mode under the low-speed communication mode type, is the reliability coefficient of the jth communication mode under the low-speed communication mode type, is the actual bandwidth coefficient of the jth communication mode under the low-speed communication mode type, α2 is the cost weight corresponding to the high-speed communication mode type, β2 is the bandwidth corresponding to the high-speed communication mode type, S3 j is the second matching coefficient corresponding to the jth communication mode under the simple communication mode type, is the reliability coefficient of the jth communication mode under the simple communication mode type, is the cost coefficient of the jth communication mode under the simple communication mode type, is the actual bandwidth coefficient of the jth communication mode under the simple communication mode type, is the deployment difficulty coefficient of the jth communication method under the simple communication method type.

[0115] In this embodiment, the second matching coefficient is used to represent the comprehensive index value of each communication mode, and is adjusted according to different performance indicators (such as reliability, cost, bandwidth, etc.). The value range is usually between 0 and 1. The higher the value, the better the matching degree.

[0116] In this embodiment, the reliability coefficient represents the reliability of the communication method, which is usually evaluated based on the ability of the communication method to work stably in different environments, and has a value range of 0 to 1, where 0 represents completely unreliable and 1 represents extremely reliable.

[0117] In this embodiment, the cost coefficient reflects the cost-effectiveness of the communication method. It is usually calculated based on the costs of equipment procurement, installation, maintenance, etc. The value range is: greater than 0, and the larger the value, the higher the cost;

[0118] In this embodiment, the actual bandwidth coefficient reflects the bandwidth performance of the communication mode in an actual environment, and is usually evaluated based on the maximum bandwidth capability of the network and the actual available bandwidth. The value range is between 0 and 1, where 0 indicates that the bandwidth is 0 and 1 indicates that the expected maximum bandwidth is reached.

[0119] In this embodiment, the cost weight indicates the importance of cost in determining the communication mode selection, which is usually set by the system designer according to specific requirements to balance cost and other performance requirements, and is usually between 0 and 1, with a larger value indicating a higher importance of cost in the selection.

[0120] In this embodiment, the deployment difficulty coefficient indicates the complexity of the communication mode deployment, which is usually related to the technical difficulty, the equipment installation difficulty and the personnel skill requirements, and the value range is between 0 and 1, where 0 indicates very easy deployment and 1 indicates extremely difficult.

[0121] In this embodiment, the coverage coefficient reflects the size of the coverage area of ​​the communication mode, and is usually used to evaluate the effective coverage of the mode in a specified area. The value range is between 0 and 1, where 0 indicates no coverage and 1 indicates full coverage of the predetermined area.

[0122] In this embodiment, bandwidth weight represents the importance of bandwidth in selecting a communication mode, and is usually set according to the influence of bandwidth on system performance, and has a value range of 0 to 1. A larger value represents a higher importance of bandwidth in decision making.

[0123] The beneficial effects of the above technical solution are as follows: by accurately determining the second matching coefficient of different types of communication modes, comprehensively considering factors such as the reliability, cost, bandwidth, coverage and deployment difficulty of the communication mode, optimizing the resource allocation of the communication network, and being able to flexibly select the most appropriate communication mode according to the actual needs of the smart distribution network, thereby improving the efficiency of network deployment and the stability of the system, reducing costs, and ensuring the efficient operation of the distribution network.

[0124] Embodiment 7:

[0125] An embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, which determines the communication mode of each area in the distribution network based on a second matching coefficient corresponding to each communication mode type and a transmission demand coefficient of each area, including:

[0126] The second matching coefficients of all communication modes corresponding to each communication mode type are sorted in a preset order, thereby generating a threshold value table corresponding to each communication mode type;

[0127] Based on the threshold table corresponding to each communication mode type and the transmission demand coefficient of each area, the threshold range of each communication mode type corresponding to each area is determined, and then the communication mode corresponding to each area is determined.

[0128] In this embodiment, all communication modes corresponding to each communication mode type refer to a collection of all possible specific communication technologies or protocols under different communication mode types (e.g., high-speed communication, low-speed communication, simple communication). For example, for a high-speed communication mode, it may include optical fiber communication, 5G communication, etc. Each communication mode has different parameters under the same type, such as bandwidth, reliability, etc. For example, the high-speed communication mode type may include optical fiber communication, 4G communication, etc.

[0129] In this embodiment, the preset order refers to sorting the second matching coefficient of each communication method according to a certain fixed rule. This sorting is usually based on an important performance indicator, for example, the communication method with a high matching degree will be ranked first. For example: assuming there are 3 communication methods, their second matching coefficients are 0.9, 0.7 and 0.8 respectively, then the preset order may be from high to low: 0.9, 0.8, 0.7.

[0130] In this embodiment, the threshold table corresponding to each communication mode type is a threshold interval table generated by arranging the second matching coefficient of each communication mode under a specific communication type in a preset order. Each communication mode will have a corresponding threshold value, which is used to determine whether the communication mode meets the needs of a certain area. For example: if the transmission demand coefficient of a certain area is 0.85, then the threshold table of the corresponding communication mode type is: 0.65-0.75-0.95, which belongs to the second communication mode under this communication mode type;

[0131] The threshold range under a communication mode type refers to the range of the second matching coefficient allowed for each area under a certain communication mode type. This range is calculated based on the transmission demand coefficient of the area and the threshold table of the communication mode type. Different areas have different requirements, so the corresponding threshold ranges will also be different. For example: if the transmission demand coefficient of a certain area is 0.75, then the threshold range of the high-speed communication mode type may be between 0.7 and 0.9. Only the communication mode with the second matching coefficient within this range can be selected as the communication mode of the area.

[0132] The beneficial effects of the above technical solution are as follows: by determining the optimal communication mode based on the second matching coefficient and the regional transmission demand coefficient, the communication efficiency and reliability of the smart distribution network can be improved. By generating a preset sorting and threshold table, a suitable communication mode is accurately selected for each region to meet the transmission requirements of different regions, thereby optimizing the overall performance and resource allocation of the distribution network, reducing communication costs, and enhancing the stability and scalability of the system.

[0133] Embodiment 8:

[0134] The embodiment of the present invention provides a communication deployment method for monitoring a smart distribution network, which performs performance simulation on a communication network based on a preliminary communication network layout, and then obtains a network performance analysis report, including:

[0135] Build a communication network model based on the preset algorithm and preliminary communication network layout;

[0136] Obtaining device and link parameters in the communication network model based on a preset specification parameter table, and then starting the simulation process in combination with a preset simulation tool and a preset simulation time span and step size;

[0137] Collect data related to the simulation process and key performance indicators to generate a network performance analysis report.

[0138] In this embodiment, the preset algorithm refers to a mathematical model and rules that are predefined in the communication network performance simulation and are used to calculate and analyze the communication network performance. The algorithm is usually based on the network topology, traffic model, signal transmission model, etc., and can simulate the performance of the communication network under specific conditions. For example: A common preset algorithm is the shortest path algorithm based on network traffic, which is used to calculate the optimal transmission path for data from the source node to the target node. Another example is an algorithm based on queue theory, which is used to simulate data congestion and delay in the network.

[0139] In this embodiment, device and link parameters refer to the key performance indicators and configuration parameters of each device (such as routers, switches, base stations, etc.) and link (such as optical fiber, wireless connection, etc.) in the network when building a communication network model. Device parameters include the bandwidth, processing power, delay, power consumption, etc. of the device; link parameters include the bandwidth, delay, transmission bit error rate, etc. of the link. Example: Assume that there is a router in the network with a bandwidth of 1Gbps and a processing delay of 10 milliseconds; a wireless link has a bandwidth of 100Mbps and a delay of 50 milliseconds. During the simulation, the system will infer network performance, such as transmission rate and delay, based on these device and link parameters.

[0140] The beneficial effects of the above technical solution are as follows: by performing performance simulation based on preset algorithms and preliminary network layouts, the performance of the communication network in actual operation can be accurately evaluated. By simulating different equipment and link parameters, combined with time spans and step sizes, a detailed network performance analysis report can be obtained to help optimize the communication network configuration, improve network efficiency and stability, improve the accuracy of communication network design, and reduce risks and costs in actual deployment.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A communication deployment method for monitoring a smart distribution network, characterized in that: include: Step 1: Analyze the topological structure of the distribution network and determine the distribution network topology diagram; Step 2: Analyze the distribution network topology diagram to determine the data transmission demand coefficient of each node in the distribution network; Step 3: Determine the communication mode of each area in the distribution network based on the data transmission demand coefficient of each node in the distribution network, and then generate a preliminary communication network layout in combination with the distribution network topology map; Step 4: Perform performance simulation on the communication network based on the preliminary communication network layout, and then obtain a network performance analysis report; Step 5: Based on the network performance analysis report, optimize and adjust the communication network layout to determine the final communication network deployment plan.

2. A communication deployment method for monitoring a smart distribution network according to claim 1, characterized in that: Analyze the topological structure of the distribution network and determine the distribution network topology diagram, including: Collect and organize all equipment information of the distribution network through the historical database of the distribution network, and then generate an initial list containing all equipment information; Perform functional analysis on the initial list to determine the functions and communication requirements of each device and establish a comparison table of the functions and communication requirements of each device; The geographic location of each device is collected using a preset collection tool, and several regions are divided based on the geographic location and function of all devices; Perform path analysis on the initial list to determine the physical connection paths between all devices based on the area where each device is located; Generate a distribution network topology diagram based on the comparison table of functions and communication requirements of all devices and the physical connection paths between all devices.

3. A communication deployment method for monitoring a smart distribution network according to claim 1, characterized in that: Analyze the distribution network topology to determine the data transmission demand coefficient of each node in the distribution network, including: Perform information analysis on the distribution network topology map, and then determine the node information of each node in the distribution network topology map; Processing the node information of each node in the distribution network topology diagram, and then determining several data types required to be transmitted by each node and the node type of each node; Determine the transmission-related parameters corresponding to each data required to be transmitted by each node based on the preset type-transmission data table and the several data types required to be transmitted by each node; Determine a node priority of each node based on the node type of each node and a preset type-priority data table; Determine the node weight of each node based on the node priority of each node and a preset mapping rule; The data transmission requirement coefficient of each node is determined based on the node weight of each node and the transmission-related parameters corresponding to each type of data required to be transmitted by each node: Among them, T i is the data transmission demand coefficient of the ith node, D i is the data volume of the ith node, F i is the transmission frequency of the ith node, P i is the data priority of the ith node, L i is the network delay of the ith node, ∈ is the preset adjustment parameter, W i is the weight of the i-th node, B i is the available bandwidth of the ith node, D max is the preset maximum data volume, F max Preset maximum transmission frequency, P max The default is the highest priority, L max is the preset maximum network delay and is the preset maximum bandwidth.

4. A communication deployment method for monitoring a smart distribution network according to claim 1, characterized in that: The communication mode of each area in the distribution network is determined based on the data transmission demand coefficient of each node in the distribution network, and then a preliminary communication network layout is generated, including: Determining a transmission demand coefficient for each area in the distribution network based on a data transmission demand coefficient for each node in the distribution network; Performing a first match based on the transmission demand coefficient of each area in the distribution network and the preset communication demand type and the preset coefficient range corresponding to each type, thereby determining the communication mode type of each area; Determine a second matching coefficient corresponding to each type of communication mode; Determine the communication mode of each area in the distribution network based on the second matching coefficient corresponding to each communication mode type and the transmission demand coefficient of each area; The communication mode of the distribution network is determined based on the communication mode of each area in the distribution network, and then a preliminary communication network layout is generated.

5. A communication deployment method for monitoring a smart distribution network according to claim 4, characterized in that: The communication mode type includes: high-speed communication mode type, low-speed communication mode type and simple communication mode type.

6. A communication deployment method for monitoring a smart distribution network according to claim 4, characterized in that: Determining a second matching coefficient corresponding to each type of communication mode includes: Based on the preset database, relevant parameters for determining each type of communication mode are obtained, and then a number of second matching coefficients corresponding to each type of communication mode are determined: Among them, S1 j is the second matching coefficient corresponding to the jth communication mode under the high-speed communication mode type, R j is the reliability coefficient of the jth communication mode under the high-speed communication mode type, C j is the cost coefficient of the jth communication mode under the high-speed communication mode type, W j is the actual bandwidth coefficient of the jth communication mode under the high-speed communication mode type, α1 is the cost weight corresponding to the high-speed communication mode type, β1 is the bandwidth weight corresponding to the high-speed communication mode type, S2 j is the second matching coefficient corresponding to the j-th communication mode under the low-speed communication mode type, is the coverage coefficient of the jth communication mode under the low-speed communication mode type, is the cost coefficient of the jth communication mode under the low-speed communication mode type, is the reliability coefficient of the jth communication mode under the low-speed communication mode type, is the actual bandwidth coefficient of the jth communication mode under the low-speed communication mode type, α2 is the cost weight corresponding to the high-speed communication mode type, β2 is the bandwidth weight corresponding to the high-speed communication mode type, S3 j is the second matching coefficient corresponding to the jth communication mode under the simple communication mode type, is the reliability coefficient of the jth communication mode under the simple communication mode type, is the cost coefficient of the jth communication mode under the simple communication mode type, is the actual bandwidth coefficient of the jth communication mode under the simple communication mode type, is the deployment difficulty coefficient of the jth communication method under the simple communication method type.

7. A communication deployment method for monitoring a smart distribution network according to claim 4, characterized in that: Determining the communication mode of each area in the distribution network based on the second matching coefficient corresponding to each communication mode type and the transmission demand coefficient of each area includes: The second matching coefficients of all communication modes corresponding to each communication mode type are sorted in a preset order, thereby generating a threshold value table corresponding to each communication mode type; Based on the threshold table corresponding to each communication mode type and the transmission demand coefficient of each area, the threshold range of each communication mode type corresponding to each area is determined, and then the communication mode corresponding to each area is determined.

8. A communication deployment method for monitoring a smart distribution network according to claim 1, characterized in that: Based on the preliminary communication network layout, the communication network performance is simulated to obtain a network performance analysis report, including: Build a communication network model based on the preset algorithm and preliminary communication network layout; Obtaining device and link parameters in the communication network model based on a preset specification parameter table, and then starting the simulation process in combination with a preset simulation tool and a preset simulation time span and step size; Collect data related to the simulation process and key performance indicators to generate network performance analysis reports.

Images