Distribution terminal distributed arrangement method based on intelligent perception

Abstract

The invention provides a power distribution terminal distributed arrangement method based on intelligent perception, and belongs to the technical field of intelligent perception power distribution networks, and the method comprises the steps: 1, collecting a topological structure, load data and equipment operation parameters of a power distribution network based on a preset method; 2, determining a plurality of load grade areas based on the collected topological structure, load data and equipment operation parameters of the power distribution network; 3, determining load characteristic data of each load grade area based on the load data and the equipment operation parameters, and further determining the fault risk degree of each load grade area; 4, determining the corresponding intelligent sensing technology and equipment based on the fault risk degree of each load level area, and obtaining the real-time electrical parameter data of each load level area; and step 5, reliability evaluation is carried out based on the real-time electrical parameter data of each load level area, and then a distribution terminal distributed arrangement scheme is determined based on a reliability evaluation result. And the response speed and reliability of the power distribution network are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent sensing power distribution network, and in particular to a distributed arrangement method of power distribution terminals based on intelligent sensing. Background Art

[0002] With the continuous development of power systems, the application of traditional distribution networks in intelligence and automation has gradually attracted attention. In order to improve the reliability and real-time response capability of distribution networks, the introduction of intelligent sensing technology has become a research hotspot.

[0003] Existing technologies mainly focus on monitoring and regulating distribution networks based on centralized control systems. However, in distributed systems, there is a lack of flexible and efficient methods for distributing distribution terminals, especially in areas with large load fluctuations, which makes it difficult to respond to system failures in real time. Existing methods for distributing distribution networks usually use static configurations, which fail to fully consider the load characteristics and failure risks of each area, resulting in inefficient resource allocation and lack of pertinence.

[0004] Therefore, the present invention provides a distributed layout method of power distribution terminals based on intelligent perception. Summary of the invention

[0005] The present invention provides a distributed layout method of distribution terminals based on intelligent perception, which is used to combine the topological structure, load data and equipment operating parameters of the distribution network through intelligent perception technology, accurately divide the load level areas and evaluate the fault risk of each area, and then perform reliability evaluation based on real-time electrical parameter data. It can realize the intelligent and distributed layout of distribution terminals, improve the response speed and reliability of the distribution network, optimize resource allocation, and effectively solve the problems of inflexible distribution network layout and untimely fault response in the prior art.

[0006] The present invention provides a distributed arrangement method of power distribution terminals based on intelligent perception, comprising:

[0007] Step 1: Collect the topology structure, load data and equipment operating parameters of the distribution network based on the preset method;

[0008] Step 2: Determine several load level areas based on the collected distribution network topology, load data and equipment operating parameters;

[0009] Step 3: Determine the load characteristic data of each load level area based on the load data and equipment operating parameters, and then determine the degree of failure risk of each load level area;

[0010] Step 4: Determine the corresponding intelligent sensing technology and equipment based on the fault risk level of each load level area, and then obtain real-time electrical parameter data of each load level area;

[0011] Step 5: Perform reliability assessment based on the real-time electrical parameter data of each load level area, and then determine the distributed layout plan of the distribution terminals based on the reliability assessment results.

[0012] The present invention provides a distributed layout method of power distribution terminals based on intelligent perception, which collects the topological structure, load data and equipment operation parameters of the distribution network based on a preset method, including:

[0013] Determine the information of the device in the distribution network and the connection information of the device based on a preset link layer discovery protocol;

[0014] Determine the topology of the distribution network based on the information of the devices in the distribution network and the connection information of the devices;

[0015] Collecting load data of distribution network based on preset data acquisition system;

[0016] The operating parameters of the equipment in the fixed distribution network are collected based on the preset sensor array.

[0017] The present invention provides a distributed layout method of distribution terminals based on intelligent perception, which determines several load level areas based on the collected topological structure, load data and equipment operation parameters of the distribution network, including:

[0018] Determine the load factor of each node in the distribution network based on the collected distribution network topology, load data and equipment operating parameters;

[0019] Determining the load level of each node based on the load factor of each node in the distribution network and a preset load factor-level table;

[0020] Perform structural analysis on the collected topological structure of the distribution network and determine several initial areas;

[0021] Each initial area is divided into several sub-areas based on the load levels of all nodes in each initial area and the topological structure of the distribution network;

[0022] The sub-areas corresponding to all initial areas are determined as load level areas.

[0023] The present invention provides a distributed layout method of power distribution terminals based on intelligent perception, which divides each initial area into several sub-areas based on the load levels of all nodes in each initial area and the topological structure of the distribution network, including:

[0024] Classify all nodes in each initial area according to load levels, and then determine several node groups;

[0025] Determine the electrical connection relationship between nodes in each node group based on the topological structure of the distribution network and a preset graph theory algorithm;

[0026] Determine a number of connected subgraphs corresponding to each node group based on a preset graph theory algorithm, and determine each connected subgraph as an initial subregion;

[0027] The electrical connection relationship between nodes in each initial sub-region is determined based on the electrical connection relationship between nodes in each node group, and then each initial sub-region is adjusted based on the electrical connection relationship between nodes in each initial sub-region, thereby determining a plurality of sub-regions.

[0028] The present invention provides a distributed layout method of distribution terminals based on intelligent perception, which determines the load factor of each node in the distribution network based on the collected topological structure, load data and equipment operation parameters of the distribution network, including:

[0029] Determine several nodes based on the topological structure of the distribution network and pre-process the load data of each node;

[0030] Determine the load factor of each node based on the preprocessed load data of each node and the corresponding equipment operating parameters of each node:

[0031]

[0032] Among them, F g is the load factor of the g-th node, D g is the data volume requirement coefficient of the g-th node, D max is the total data volume of all nodes, T g is the transmission real-time requirement coefficient of the g-th node, I g is the data importance coefficient of the g-th node, V g is the data fluctuation coefficient of the g-th node, N g is the network interference coefficient of the g-th node, C g is the average correlation coefficient between the g-th node and other nodes, ∈ is the preset adjustment parameter, V 1 is the ideal value of data fluctuation coefficient, is the ideal value of network interference coefficient, C 1 is the ideal value of the average correlation coefficient.

[0033] The present invention provides a distributed layout method of power distribution terminals based on intelligent perception, which determines the load characteristic data of each load level area based on load data and equipment operation parameters, and further determines the degree of fault risk of each load level area, including:

[0034] Determine the load characteristic data of each load level area based on the load data and the equipment operation parameters, wherein the load characteristic data includes several preset types of load characteristic coefficients;

[0035] Determine several fault risk indicators for each load level area based on the load characteristic data of each load level area, and then establish a rule-based fault risk assessment model for each load level area in combination with the historical load characteristic data of the load level area;

[0036] determining a failure risk level for each load level area based on a rule-based failure risk assessment model for each load level area;

[0037] The failure risk degree of each load level area is determined based on the failure risk level of each load level area and a preset level-degree data table.

[0038] The present invention provides a distributed layout method of power distribution terminals based on intelligent perception, performs reliability evaluation based on real-time electrical parameter data of each load level area, and then determines a distributed layout scheme of power distribution terminals based on the reliability evaluation results, including:

[0039] Determine the reliability factor of each load level area based on the real-time electrical parameter data of each load level area:

[0040]

[0041] Among them, R i represents the reliability coefficient of the i-th load level area, λ i represents the failure rate of the i-th load level area, MTTR i is the average repair time of the i-th load level area, N i is the number of equipment in the i-th load level area, p ij is the failure probability of the jth device in the i-th load level area, r ij represents the redundancy of the jth device in the i-th load level area, q ij is the electrical performance index of the jth device in the i-th load level area, E ij is the environmental factor impact index of the jth equipment in the i-th load level area, f(E ij ) is the mapping coefficient for environmental factors, L i is the load rate of the ith load level area, P fi is the failure probability of the i-th load level area, k 1 is the impact weight of equipment failure, k 2 k is the impact weight of the electrical performance of the equipment, 3 The load affects the weight;

[0042] Determining reliability assessment results based on the reliability coefficient of each load level area;

[0043] The distributed layout plan of the distribution terminals is determined based on the reliability assessment results and the preset result-plan database.

[0044] The present invention provides a distributed layout method of distribution terminals based on intelligent perception, and a distributed layout plan of distribution terminals, including: location layout of distribution terminals, types of distribution terminals, communication methods, redundancy methods of distribution terminal equipment, and maintenance plans for distribution terminal equipment.

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

[0046] By combining intelligent sensing technology with the topological structure, load data and equipment operating parameters of the distribution network, the load level areas can be accurately divided and the fault risk of each area can be evaluated. Reliability assessment can then be performed based on real-time electrical parameter data. This can realize the intelligent and distributed layout of distribution terminals, improve the response speed and reliability of the distribution network, optimize resource allocation, and effectively solve the problems of inflexible distribution network layout and untimely fault response in the existing technology. 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 method for distributed arrangement of power distribution terminals based on intelligent perception provided in 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 distributed arrangement method of power distribution terminals based on intelligent perception, such as Figure 1 As shown, including:

[0052] Step 1: Collect the topology structure, load data and equipment operating parameters of the distribution network based on the preset method;

[0053] Step 2: Determine several load level areas based on the collected distribution network topology, load data and equipment operating parameters;

[0054] Step 3: Determine the load characteristic data of each load level area based on the load data and equipment operating parameters, and then determine the degree of failure risk of each load level area;

[0055] Step 4: Determine the corresponding intelligent sensing technology and equipment based on the fault risk level of each load level area, and then obtain real-time electrical parameter data of each load level area;

[0056] Step 5: Perform reliability assessment based on the real-time electrical parameter data of each load level area, and then determine the distributed layout plan of the distribution terminals based on the reliability assessment results.

[0057] In this embodiment, the degree of fault risk refers to the possibility and severity of a fault in a distribution network in a specific load level area. By analyzing load data, equipment operating parameters and electrical characteristics, the risk of failure in the area under different working conditions can be evaluated. Specifically, it is how factors such as load fluctuations, equipment aging or abnormal operation affect system stability. For example, if the power load in a certain load level area is close to or exceeds the equipment carrying capacity for a long time, then the degree of fault risk in the area is high, and equipment overload, heating, or even burning may occur.

[0058] In this embodiment, intelligent sensing technology and equipment refers to the use of sensors, monitoring equipment and advanced data analysis technology to collect and analyze the operating data of the distribution network in real time to achieve intelligent perception and monitoring of the equipment status. These technologies and equipment can automatically identify and report faults when abnormalities occur, providing efficient prediction and diagnosis capabilities. For example, in areas with a high risk of failure, smart sensors may be used to monitor parameters such as current and voltage in real time to promptly detect equipment overloads, temperature abnormalities, etc., thereby preventing the occurrence of failures. Intelligent sensing technologies such as artificial intelligence algorithms, Internet of Things devices and data transmission networks can also improve the accuracy and timeliness of fault warning and management.

[0059] The beneficial effects of the above technical solution are as follows: through the intelligent sensing technology combined with the topological structure, load data and equipment operating parameters of the distribution network, the load level areas are accurately divided and the fault risk of each area is evaluated, and then the reliability is evaluated according to the real-time electrical parameter data. It can realize the intelligent and distributed layout of the distribution terminals, improve the response speed and reliability of the distribution network, optimize resource allocation, and effectively solve the problems of inflexible distribution network layout and untimely fault response in the prior art.

[0060] Embodiment 2:

[0061] The embodiment of the present invention provides a distributed layout method of distribution terminals based on intelligent perception, which collects the topological structure, load data and equipment operation parameters of the distribution network based on a preset method, including:

[0062] Determine the information of the device in the distribution network and the connection information of the device based on a preset link layer discovery protocol;

[0063] Determine the topology of the distribution network based on the information of the devices in the distribution network and the connection information of the devices;

[0064] Collecting load data of distribution network based on preset data acquisition system;

[0065] The operating parameters of the equipment in the fixed distribution network are collected based on the preset sensor array.

[0066] In this embodiment, the device information refers to the basic attributes and functional data of each device in the distribution network. This information may include the device type, model, manufacturer, installation location, working status, performance indicators, etc. For example, the device information of a transformer may include its maximum load capacity, rated voltage, production date, and current operating status (such as whether it is running or in a fault state);

[0067] In this embodiment, the connection information of the device refers to the electrical connection relationship between the devices in the distribution network, including the connection mode, connection path, connection point and the topology of the electrical connection of each device to other devices. For example, the connection information of a transformer may include how it is connected to the upstream transmission line and the downstream distribution line, as well as its input and output voltage and current parameters, to help build the electrical network diagram of the entire power grid.

[0068] In this embodiment, the preset data acquisition system refers to a pre-designed system for automatically collecting required data from the distribution network, such as load data, equipment operating status, environmental monitoring data, etc. The system is usually composed of multiple sensors, monitoring equipment, and data transmission equipment, and can collect various types of data from the distribution network periodically or in real time. For example, the preset data acquisition system may include an intelligent monitoring system for the distribution network, which transmits data from various measurement points to a central system via a wireless network to help operation and maintenance personnel perform remote monitoring.

[0069] In this embodiment, the preset sensor array refers to a group of sensors arranged in the distribution network according to pre-set requirements and needs, and is used to collect operating parameters of electrical equipment, such as voltage, current, temperature, humidity, etc. The sensor array is usually composed of multiple sensors, which are arranged on key equipment or monitoring points to comprehensively monitor the operating status and environmental conditions of the equipment. For example, in a substation in the distribution network, a sensor array can be arranged to monitor parameters such as temperature, current and voltage of the transformer, so as to detect potential failures of the equipment in a timely manner.

[0070] The beneficial effects of the above technical solution are as follows: by collecting the topological structure, load data and equipment operating parameters of the distribution network based on a preset method, and adopting intelligent sensing technologies such as link layer discovery protocol, data acquisition system and sensor array, it is possible to obtain the operating information and connection relationship of the equipment in the distribution network in real time, accurately grasp the operating status of the distribution network, improve fault warning and management capabilities, provide a scientific basis for the distributed layout of the distribution network, improve the stability and reliability of the distribution network, and effectively reduce the occurrence of faults.

[0071] Embodiment 3:

[0072] The embodiment of the present invention provides a distributed layout method of distribution terminals based on intelligent perception, which determines a plurality of load level areas based on the collected topological structure, load data and equipment operation parameters of the distribution network, including:

[0073] Determine the load factor of each node in the distribution network based on the collected distribution network topology, load data and equipment operating parameters;

[0074] Determining the load level of each node based on the load factor of each node in the distribution network and a preset load factor-level table;

[0075] Perform structural analysis on the collected topological structure of the distribution network and determine several initial areas;

[0076] Each initial area is divided into several sub-areas based on the load levels of all nodes in each initial area and the topological structure of the distribution network;

[0077] The sub-areas corresponding to all initial areas are determined as load level areas.

[0078] In this embodiment, structural analysis of the collected distribution network topology refers to a detailed analysis of the connection relationship between the equipment and lines in the distribution network to understand the network topology characteristics of the distribution network, including analysis of the electrical connection between the equipment, the position relationship and interaction of each node (such as substation, distribution box, load point, etc.) in the network, and identification of key nodes and weak connection points of the distribution network. Through this analysis, it can help determine the overall structure of the distribution network and the potential load distribution. For example, in a distribution network, by performing structural analysis on the connection relationship between each substation, switch station and terminal load point, the trunk line, branch line and load node can be identified, so as to understand the power demand and load flow direction of different regions;

[0079] In this embodiment, several initial areas are determined after analyzing the topological structure of the distribution network. Next, it is necessary to divide the initial areas into multiple areas according to the power load conditions of each node and line in the power grid. The initial area is an area roughly determined based on the topological structure and load conditions. It may include several adjacent nodes or devices whose load demands are relatively close or the power flow is relatively concentrated.

[0080] The beneficial effects of the above technical solution are: by collecting the topological structure, load data and equipment operating parameters of the distribution network, combining load factor analysis with the preset level table, accurately dividing the load level area, and through structural analysis and initial area division, the load distribution of the distribution network can be effectively optimized, the flexibility and accuracy of load management can be improved, energy waste can be reduced, and the stability and reliability of the distribution network can be improved. This method provides a scientific basis for the reasonable layout and load scheduling of the distribution network, and enhances the adaptive and efficient operation capabilities of the power grid.

[0081] Embodiment 4:

[0082] The embodiment of the present invention provides a distributed layout method of power distribution terminals based on intelligent perception, which divides each initial area into several sub-areas based on the load levels of all nodes in each initial area and the topological structure of the distribution network, including:

[0083] Classify all nodes in each initial area according to load levels, and then determine several node groups;

[0084] Determine the electrical connection relationship between nodes in each node group based on the topological structure of the distribution network and a preset graph theory algorithm;

[0085] Determine a number of connected subgraphs corresponding to each node group based on a preset graph theory algorithm, and determine each connected subgraph as an initial subregion;

[0086] The electrical connection relationship between nodes in each initial sub-region is determined based on the electrical connection relationship between nodes in each node group, and then each initial sub-region is adjusted based on the electrical connection relationship between nodes in each initial sub-region, thereby determining a plurality of sub-regions.

[0087] In this embodiment, all nodes in each initial area are classified according to the load level, including: for each initial area, all nodes in the area are classified according to their load level. For example, nodes with a load level of "light load" are grouped into one group, nodes with a load level of "medium load" are grouped into another group, nodes with "heavy load" are grouped into one group, and nodes with "overload" are grouped into one group. Data structures (such as lists, dictionaries, etc.) can be used to store this grouping information.

[0088] In this embodiment, each initial sub-region is adjusted based on the electrical connection relationship between the nodes of each initial sub-region, including: for each connected subgraph, it is ensured that there is an electrical connection between its nodes, and the load levels of these nodes are the same or similar. If there is an isolated node (not connected to other nodes of the same level), according to the actual situation, it can be used as a sub-region alone, or merged into an adjacent appropriate sub-region according to the load level and electrical connection relationship of the adjacent nodes.

[0089] The beneficial effects of the above technical solution are as follows: Through intelligent perception and graph theory algorithms, combined with the distribution network topology and node load levels, the initial area is divided into several optimized sub-areas. Through load level classification and analysis of electrical connection relationships between nodes, the regional division can be accurately adjusted to improve the load balance and reliability of the power grid, avoid overload risks, and optimize resource allocation. This method improves the intelligent management level of the distribution network and enhances the self-healing ability and operating efficiency of the power grid.

[0090] Embodiment 5:

[0091] The embodiment of the present invention provides a distributed layout method of distribution terminals based on intelligent perception, which determines the load factor of each node in the distribution network based on the collected topological structure, load data and equipment operation parameters of the distribution network, including:

[0092] Determine several nodes based on the topological structure of the distribution network and pre-process the load data of each node;

[0093] Determine the load factor of each node based on the preprocessed load data of each node and the corresponding equipment operating parameters of each node:

[0094]

[0095] Among them, F g is the load factor of the g-th node, D g is the data volume requirement coefficient of the g-th node, D max is the total data volume of all nodes, T g is the transmission real-time requirement coefficient of the g-th node, I g is the data importance coefficient of the g-th node, V g is the data fluctuation coefficient of the g-th node, N g is the network interference coefficient of the g-th node, C g is the average correlation coefficient between the g-th node and other nodes, ∈ is the preset adjustment parameter, V 1 is the ideal value of data fluctuation coefficient, is the ideal value of network interference coefficient, C 1 is the ideal value of the average correlation coefficient.

[0096] In this embodiment, the transmission real-time requirement coefficient is a coefficient that measures the degree of real-time demand for data transmission of each node in the distribution network. This coefficient is usually related to the real-time data update frequency and delay requirements required by the node. In the distribution network, some nodes may need a faster response time to ensure the normal operation of the equipment, especially when a fault or load fluctuation occurs. The acquisition of real-time data is crucial for decision-making. For example, assume that in the distribution network, the load data of an important substation node needs to be updated once a minute in order to adjust the load distribution and protection strategy of the power grid in real time. If the node has a high requirement for the real-time performance of data transmission, it may be given a higher transmission real-time requirement coefficient (for example, 0.9). For some less important nodes, whose data transmission can be delayed and updated, its transmission real-time requirement coefficient may be lower (for example, 0.3). The size of this coefficient reflects the sensitivity of the node to real-time data, helping the system to adjust resource allocation and data processing priority according to the needs of different nodes.

[0097] The beneficial effects of the above technical solution are: by comprehensively considering the topological structure, load data and equipment operating parameters of the distribution network, the load factor of each node can be accurately calculated. This method can effectively quantify multi-dimensional factors such as node data demand, transmission real-time, and data importance, improve the efficiency of data transmission and management of the distribution network, optimize resource allocation, enhance network stability, reduce the risk of failures caused by data fluctuations and network interference, and improve the overall operation reliability and intelligence level of the distribution network.

[0098] Embodiment 6:

[0099] The embodiment of the present invention provides a distributed layout method of power distribution terminals based on intelligent perception, which determines the load characteristic data of each load level area based on load data and equipment operation parameters, and then determines the degree of fault risk of each load level area, including:

[0100] Determine the load characteristic data of each load level area based on the load data and the equipment operation parameters, wherein the load characteristic data includes several preset types of load characteristic coefficients;

[0101] Determine several fault risk indicators for each load level area based on the load characteristic data of each load level area, and then establish a rule-based fault risk assessment model for each load level area in combination with the historical load characteristic data of the load level area;

[0102] determining a failure risk level for each load level area based on a rule-based failure risk assessment model for each load level area;

[0103] The failure risk degree of each load level area is determined based on the failure risk level of each load level area and a preset level-degree data table.

[0104] In this embodiment, the preset type of load characteristic coefficient refers to a numerical value or parameter pre-set for different types of load characteristics in the distribution network, which is used to describe the behavior pattern of the load in different time periods and operating conditions. These coefficients can help evaluate the volatility, stability, load change and other characteristics of the load, and provide support for fault risk assessment. Common load characteristics include load volatility, load increase and decrease rates, etc. For example: suppose that in the distribution network, the load volatility in a certain area is large, which may cause load instability. At this time, a "load volatility coefficient" can be set to measure the frequency and amplitude of load changes in the area. For areas with large load volatility, a higher load volatility coefficient (such as 0.8) can be set, while areas with small load volatility can set a lower coefficient (such as 0.2).

[0105] In this embodiment, the fault risk index is a numerical value used to measure the possibility or risk level of a fault in a certain load level area in the distribution network. These indicators are calculated based on multiple factors such as load data, equipment operating parameters, and historical fault data, reflecting the failure threats that the system may face. Fault risk indicators may include equipment aging, load fluctuation frequency, overload frequency, etc. For example, when the load in a certain area fluctuates frequently and the load level is close to the load limit of the equipment, the fault risk index may be high. For example, if the load change frequency in the area is more than 5 times per hour, and the overload of the equipment exceeds the specified threshold, the fault risk index of the area may be set to 0.7, indicating that the failure risk of the area is relatively high.

[0106] The beneficial effects of the above technical solution are as follows: by collecting load data and equipment operating parameters, combining load characteristics and historical data, a rule-based fault risk assessment model is established, which can accurately assess the fault risk level of each load level area, and determine the degree of fault risk based on a preset level-degree data table, thereby improving the accuracy of fault prediction, helping to optimize the operation of the distribution network, improving the stability and reliability of the system, and reducing the possibility of faults.

[0107] Embodiment 7:

[0108] The embodiment of the present invention provides a distributed layout method of power distribution terminals based on intelligent perception, performs reliability evaluation based on real-time electrical parameter data of each load level area, and then determines a distributed layout scheme of power distribution terminals based on the reliability evaluation result, including:

[0109] Determine the reliability factor of each load level area based on the real-time electrical parameter data of each load level area:

[0110]

[0111] Among them, R i represents the reliability coefficient of the i-th load level area, λ i represents the failure rate of the i-th load level area, MTTR i is the average repair time of the i-th load level area, N i is the number of equipment in the i-th load level area, p ij is the failure probability of the jth device in the i-th load level area, r ij represents the redundancy of the jth device in the i-th load level area, q ij is the electrical performance index of the jth device in the i-th load level area, E ij is the environmental factor impact index of the jth equipment in the i-th load level area, f(E ij ) is the mapping coefficient for environmental factors, L i is the load rate of the ith load level area, P fi is the failure probability of the i-th load level area, k 1 is the impact weight of equipment failure, k 2 k is the impact weight of the electrical performance of the equipment, 3 The load affects the weight;

[0112] Determining reliability assessment results based on the reliability coefficient of each load level area;

[0113] The distributed layout plan of the distribution terminals is determined based on the reliability assessment results and the preset result-plan database.

[0114] In this embodiment, the failure rate of the i-th load level area is obtained by counting the number of failures that occur in the area within a certain period of time and dividing it by the total operating time, and the unit is: number of times / time, where the time is related to the repair time and has the same unit;

[0115] In this embodiment, the time obtained by taking a statistical average of the repair time of the equipment failures in the area is the time obtained by taking a statistical average of the repair time of the equipment failures in the area;

[0116] In this embodiment, the redundancy is for devices without redundancy, r ij =0; for a device with n redundant devices, For example, if a device has a redundant device, then r ij =0.5;

[0117] In this embodiment, the electrical performance index has a value range between 0 and 1, and the closer to 1, the better the performance;

[0118] In this embodiment, the mapping coefficient is used to map the environmental factor into a dimensionless influence coefficient;

[0119] In this embodiment, the load rate of the i-th load level area is obtained by dividing the actual load of the area by the rated load.

[0120] The beneficial effects of the above technical solution are: by calculating the reliability coefficient of each load level area through real-time electrical parameter data, and comprehensively considering multiple dimensions such as equipment failure rate, electrical performance, redundancy and environmental factors, the reliability of the distribution network can be accurately evaluated. Based on the evaluation results, a reasonable distribution terminal layout plan is formulated in combination with the preset database, thereby optimizing the stability and fault response capabilities of the distribution network, improving the reliability and operating efficiency of the system, reducing the risk of faults, and ensuring the safe and stable operation of the power grid.

[0121] Embodiment 8:

[0122] The embodiments of the present invention provide a distributed layout method of distribution terminals based on intelligent perception, and a distributed layout plan of distribution terminals, including: location layout of distribution terminals, types of distribution terminals, communication methods, redundancy methods of distribution terminal equipment, and maintenance plans of distribution terminal equipment.

[0123] The beneficial effects of the above technical solution are as follows: by rationally planning the location layout, type, communication method, equipment redundancy method and equipment maintenance plan of the distribution terminals, the reliability and intelligent management level of the distribution network can be effectively improved, resource allocation can be optimized, the fault tolerance of the system can be enhanced, and the efficient operation and maintenance of the equipment can be ensured, the failure rate can be reduced, the stability and emergency response capability of the power grid can be improved, and strong support can be provided for the intelligent construction of modern distribution networks.

[0124] 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 distributed layout method of power distribution terminals based on intelligent perception, characterized in that: include: Step 1: Collect the topology structure, load data and equipment operating parameters of the distribution network based on the preset method; Step 2: Determine several load level areas based on the collected distribution network topology, load data and equipment operating parameters; Step 3: Determine the load characteristic data of each load level area based on the load data and equipment operating parameters, and then determine the degree of failure risk of each load level area; Step 4: Determine the corresponding intelligent sensing technology and equipment based on the fault risk level of each load level area, and then obtain real-time electrical parameter data of each load level area; Step 5: Perform reliability assessment based on the real-time electrical parameter data of each load level area, and then determine the distributed layout plan of the distribution terminals based on the reliability assessment results.

2. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: Collect the topology structure, load data and equipment operating parameters of the distribution network based on the preset method, including: Determine the information of the device in the distribution network and the connection information of the device based on a preset link layer discovery protocol; Determine the topology of the distribution network based on the information of the devices in the distribution network and the connection information of the devices; Collecting load data of distribution network based on preset data acquisition system; The operating parameters of the equipment in the fixed distribution network are collected based on the preset sensor array.

3. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: Based on the collected distribution network topology, load data and equipment operating parameters, several load level areas are determined, including: Determine the load factor of each node in the distribution network based on the collected distribution network topology, load data and equipment operating parameters; Determining the load level of each node based on the load factor of each node in the distribution network and a preset load factor-level table; Perform structural analysis on the collected topological structure of the distribution network and determine several initial areas; Each initial area is divided into several sub-areas based on the load levels of all nodes in each initial area and the topological structure of the distribution network; The sub-areas corresponding to all initial areas are determined as load level areas.

4. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: Each initial area is divided into several sub-areas based on the load levels of all nodes in each initial area and the topological structure of the distribution network, including: Classify all nodes in each initial area according to load levels, and then determine several node groups; Determine the electrical connection relationship between nodes in each node group based on the topological structure of the distribution network and a preset graph theory algorithm; Determine a number of connected subgraphs corresponding to each node group based on a preset graph theory algorithm, and determine each connected subgraph as an initial subregion; The electrical connection relationship between nodes in each initial sub-region is determined based on the electrical connection relationship between nodes in each node group, and then each initial sub-region is adjusted based on the electrical connection relationship between nodes in each initial sub-region, thereby determining a plurality of sub-regions.

5. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: The load factor of each node in the distribution network is determined based on the collected distribution network topology, load data and equipment operating parameters, including: Determine several nodes based on the topological structure of the distribution network and pre-process the load data of each node; Determine the load factor of each node based on the preprocessed load data of each node and the corresponding equipment operating parameters of each node: Among them, F g is the load factor of the g-th node, D g is the data volume requirement coefficient of the g-th node, D max is the total data volume of all nodes, T g is the transmission real-time requirement coefficient of the g-th node, I g is the data importance coefficient of the g-th node, V g is the data fluctuation coefficient of the g-th node, N g is the network interference coefficient of the g-th node, C g is the average correlation coefficient between the g-th node and other nodes, ∈ is the preset adjustment parameter, V1 is the ideal value of the data fluctuation coefficient, is the ideal value of the network interference coefficient, and C1 is the ideal value of the average correlation coefficient.

6. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: Determine the load characteristic data of each load level area based on the load data and equipment operating parameters, and then determine the degree of failure risk of each load level area, including: Determine the load characteristic data of each load level area based on the load data and the equipment operation parameters, wherein the load characteristic data includes several preset types of load characteristic coefficients; Determine several fault risk indicators for each load level area based on the load characteristic data of each load level area, and then establish a rule-based fault risk assessment model for each load level area in combination with the historical load characteristic data of the load level area; determining a failure risk level for each load level area based on a rule-based failure risk assessment model for each load level area; The failure risk degree of each load level area is determined based on the failure risk level of each load level area and a preset level-degree data table.

7. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: Reliability assessment is performed based on real-time electrical parameter data of each load level area, and then the distributed layout plan of distribution terminals is determined based on the reliability assessment results, including: Determine the reliability factor of each load level area based on the real-time electrical parameter data of each load level area: Among them, R i represents the reliability coefficient of the i-th load level area, λ i represents the failure rate of the i-th load level area, MTTR i is the average repair time of the i-th load level area, N i is the number of equipment in the i-th load level area, p ij is the failure probability of the jth device in the i-th load level area, r ij represents the redundancy of the jth device in the i-th load level area, q ij is the electrical performance index of the jth device in the i-th load level area, E ij is the environmental factor impact index of the jth equipment in the i-th load level area, f(E ij ) is the mapping coefficient for environmental factors, L i is the load rate of the ith load level area, P fi is the failure probability of the i-th load level area, k1 is the impact weight of equipment failure, k2 is the impact weight of the electrical performance of the equipment, and k3 is the load impact weight; Determining reliability assessment results based on the reliability coefficient of each load level area; The distributed layout plan of the distribution terminals is determined based on the reliability assessment results and the preset result-plan database.

8. The method for distributed layout of power distribution terminals based on intelligent perception according to claim 1, characterized in that: The distributed layout plan of distribution terminals includes: the location layout of distribution terminals, the type of distribution terminals, the communication method, the redundancy method of distribution terminal equipment and the maintenance plan of distribution terminal equipment.

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