Network communication-based lightweight optimization method for secondary cable of miniaturized switch cabinet

Abstract

The invention discloses a network-communication-based lightweight optimization method for a secondary cable of a miniaturized switch cabinet, and relates to the technical field of power cables, and the method comprises the following steps: obtaining the number of communication ports of power secondary equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet; enabling a plurality of devices to share the same external communication port based on a time sequence multiplexing mechanism, and constructing a constraint condition of the number of the external communication ports according to the capacity of the external communication ports, the total flow demand of each device and the connectivity of the communication ports; constructing a total energy consumption function according to the external port static energy consumption and the time sequence multiplexing dynamic energy consumption; a secondary cable number planning model is constructed based on an undirected graph and mixed integer linear programming, solving is carried out with the minimum number of external ports and the minimum energy consumption as targets, and the method is applied to determining the number of secondary cables between power secondary equipment communication ports and external communication ports. The problem that secondary cables in the switch cabinet and between the switch cabinets are complicated is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power cables, and more specifically, to a lightweight optimization method for secondary cables of a miniaturized switch cabinet based on network communication. Background Art

[0002] Miniaturized switchgear is a power distribution equipment that is reduced in size through integrated design, intelligent control and material innovation. Its core lies in balancing high reliability and intelligence in a limited space. Since its emergence in the early 21st century, the application of modular structure, silicon carbide solid-state circuit breakers and digital twin technology has promoted its development in a more compact and efficient direction, and widely serves scenarios such as new energy access to the power grid. Future trends include ultra-miniaturized design, wireless communication and self-organizing networking capabilities, with the goal of achieving equipment miniaturization and full life cycle intelligent management.

[0003] Electrical secondary equipment is an indirect power conversion device used for monitoring, control, protection and communication in the power system. It works with primary equipment (such as generators, transformers, circuit breakers, etc.) to achieve safe and stable operation of the power system. Its core functions include real-time collection of operating data (such as voltage, current, temperature), execution of control instructions (such as switch opening and closing), provision of fault protection (such as differential protection, overcurrent protection) and support for system communication and remote monitoring. Secondary equipment is mainly divided into three categories: control and protection equipment (such as relay protection devices, automation controllers), measuring instruments (such as energy meters, digital transformers) and communication equipment (such as fiber optic switches, protocol converters). With the development of smart grids, secondary equipment is evolving from traditional independent and analog to digital and integrated, realizing interoperability and information sharing between devices.

[0004] As a key carrier for signal transmission in power systems, secondary cables are undergoing an iterative upgrade from traditional copper core armor to lightweight and intelligent ones. Innovations in aluminum alloy conductors and aerogel insulation layers in the material field significantly reduce weight and energy consumption, while structural optimization improves spatial adaptability through designs such as flat cables and optical fiber composite phase lines. Intelligent integration such as radio frequency identification tags and distributed sensors enable it to have status self-diagnosis and asset tracking capabilities. Despite the signal integrity challenges under high-speed communications, its reliability continues to improve through differential signal design and accelerated aging verification, making it a core connector in the smart grid and rail transit fields.

[0005] For example, the invention patent with announcement number: CN111864907B announces a method and device for collecting and sharing small hydropower energy data, which relates to a method and device for collecting and sharing small hydropower energy data. The method includes the following steps: a concentrator is set in the small hydropower station, and a plurality of collection devices for collecting data of each power equipment are arranged corresponding to each power equipment in the small hydropower station, each of the collection devices is communicatively connected to the control cabinet in the hydropower station, and the control cabinet is communicatively connected to the concentrator and exchanges data; the concentrator is communicatively connected to the power consumption information collection system deployed in the power system intranet through a wired / wireless network and exchanges data; a first data service platform is deployed in the power system intranet, and a second data service platform is deployed in the extranet, the first data service platform and the second data service platform are communicatively connected through a strong isolation device and exchange data; the second data service platform is communicatively connected to a third-party application platform and exchanges data.

[0006] For example, the invention patent with announcement number: CN117375066B discloses a single-circuit multi-branch optimization system and method for a new energy power station collector line, which discloses a single-circuit multi-branch optimization system and method for a new energy power station collector line. The optimization system includes a multi-circuit collector line, and a single-circuit collector line includes multiple new energy power generation unit groups, and the multiple new energy power generation unit groups correspond to different branches connected to a single cable branch box; the output end of the single cable branch box is connected to the input end of the transformer through the corresponding switch cabinet; the output end of the transformer is connected to the power grid. The method determines the number of collector line loops according to the number of new energy power generation units and their corresponding capacities and the average transmission capacity of the collector line; and determines the number of branches of the collector line according to the transmission capacity of the single-circuit collector line and the current carrying capacity of the selected maximum cross-section cable. The present invention optimizes the single-circuit collector line for multiple branches by setting a cable branch box, thereby optimizing the number of collector line loops, giving full play to the transmission capacity of the collector line as much as possible, and reducing the overall cost of the collector line.

[0007] The above disclosed technical solutions have at least the following technical problems: There is too much redundancy in the secondary cables inside and between switch cabinets, which leads to low troubleshooting efficiency, difficult operation and maintenance, and easy risk of miswiring.

[0008] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0009] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a lightweight optimization method for secondary cables of a miniaturized switch cabinet based on network communication, which solves the problem of complicated secondary cables inside and between switch cabinets by determining the minimum number of external communication ports of the switch cabinet under the lowest energy consumption.

[0010] To achieve the above object, the present invention provides the following technical solutions: A lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication includes the following steps: obtaining the number of communication ports of power secondary equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet; allowing several devices to share the same external communication port based on a timing multiplexing mechanism, and constructing constraints on the number of external communication ports according to the capacity of the external communication port, the total flow requirements of each device, and the connectivity of the communication port; constructing a total energy consumption function according to the static energy consumption of the external port and the dynamic energy consumption of timing multiplexing; constructing a secondary cable quantity planning model based on an undirected graph and mixed integer linear programming, solving it with the minimum number of external ports and the lowest energy consumption as the goal, and applying it to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

[0011] In a preferred embodiment, the method allows several devices to share the same external communication port based on a timing multiplexing mechanism, and constructs a constraint on the number of external communication ports according to the capacity of the external communication port, the total traffic demand of each device and the connectivity of the communication port, specifically: discretize time into several time periods; allow several device communication ports to be connected to a first external communication port; obtain a first capacity of the first external port; within the same time period, the total traffic of several devices connected to the first external communication port through the first external communication port does not exceed the first capacity, thereby constructing a capacity constraint; ensure that each device communication port has at least one path connected to the external port, thereby constructing a connectivity constraint; ensure that the total traffic demand of each device is transmitted through the external communication port within all time periods, thereby constructing a traffic demand constraint.

[0012] In a preferred embodiment, the total energy consumption function is constructed based on the static energy consumption of the external port and the dynamic energy consumption of timing multiplexing, specifically: obtaining the transmission flow of the secondary cable path in each time period; obtaining the static energy consumption of each external port; obtaining the historical data of the transmission flow and the dynamic energy consumption, and obtaining the dynamic energy consumption function that characterizes the positive correlation between the dynamic energy consumption and the transmission flow based on regression analysis; combining the static energy consumption and the dynamic energy consumption functions to construct the total energy consumption function.

[0013] In a preferred embodiment, the secondary cable quantity planning model is constructed based on an undirected graph and mixed integer linear programming, and is solved with the minimum number of external ports and the lowest energy consumption as the goals, and is applied to determining the number of secondary cables between the communication port of the secondary power device and the external communication port. Specifically, the communication port of the secondary power device is abstracted as a first-class node, the secondary cable path is abstracted as an edge, and the external communication port is abstracted as a second-class node, and the secondary cable quantity planning model is constructed based on an undirected graph and mixed integer linear programming; minimizing the number of external communication ports and minimizing the total energy consumption are taken as the objective functions, and the optimal solution is found from the feasible solutions in combination with the constraints of the number of external communication ports, and is applied to determining the number of secondary cables between the communication port of the secondary power device and the external communication port.

[0014] In a preferred embodiment, the method of ensuring that each device communication port has at least one path connected to the external port is as follows: if there is a device connected to the first external port, the first external port is determined to be in use; a binary activation variable is introduced, if the first external port is in use, the port is determined to be activated and the activation variable is set to one, if the second external port is not in use, the port is determined to be inactivated and the activation variable is set to zero; a binary connection variable is introduced, if the first device communication port is connected to the first external port, the connection variable is set to one, if the second device communication port is not connected to the first external port, the connection variable is set to zero; connectivity constraints are constructed based on the binary activation variables and the binary connection variables to ensure that each device communication port is connected to at least one activated external port.

[0015] In a preferred embodiment, the method of ensuring that the total flow demand of each device is transmitted through the external communication port in all time periods is specifically: obtaining the total flow demand of each device; and transmitting the total flow demand of each device through the activated external communication port in all time periods.

[0016] The technical effects and advantages of the network communication-based miniaturized switch cabinet secondary cable lightweight optimization method of the present invention are as follows: The present invention implements constraints on external communication ports by constructing constraints on the number of external communication ports, which helps to reduce redundant connections from the physical layer, thereby reducing the complexity of secondary cables in and between switch cabinets; by constructing a total energy consumption function and building a secondary cable quantity planning model based on an undirected graph and mixed integer linear programming, the optimal solution is found between the minimum number of external ports and the lowest energy consumption, thereby minimizing energy consumption while ensuring communication reliability, and finally forming a collaborative solution of structural optimization and energy consumption control, effectively solving the problem of complex secondary cables in and between switch cabinets. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1A schematic flow chart of a method for lightweight optimization of secondary cables of a miniaturized switch cabinet based on network communication provided in an embodiment of the present invention.

[0018] Figure 2 A schematic diagram of a network communication port provided in an embodiment of the present invention.

[0019] Figure 3 This is an example diagram of an undirected graph provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0021] Embodiment 1, Figure 1 A lightweight optimization method for secondary cables of miniaturized switch cabinet based on network communication is presented, which includes the following steps: S1, obtaining the number of communication ports of the power secondary equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet; S2, allowing several devices to share the same external communication port based on a time-series multiplexing mechanism, and constructing constraints on the number of external communication ports based on the capacity of the external communication port, the total traffic requirements of each device, and the connectivity of the communication ports; S3, constructs a total energy consumption function based on the static energy consumption of external ports and the dynamic energy consumption of timing multiplexing; S4, a secondary cable quantity planning model is constructed based on undirected graph and mixed integer linear programming, which is solved with the minimum number of external ports and the lowest energy consumption as the goal, and is applied to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

[0022] This embodiment constrains the external communication ports by constructing constraints on the number of external communication ports, which helps to reduce redundant connections from the physical layer, thereby reducing the complexity of secondary cables in and between switch cabinets; by constructing a total energy consumption function and building a secondary cable quantity planning model based on an undirected graph and mixed integer linear programming, the optimal solution is found between the minimum number of external ports and the lowest energy consumption, thereby minimizing energy consumption while ensuring communication reliability, and ultimately forming a collaborative solution of structural optimization and energy consumption control, effectively solving the problem of complex secondary cables in and between switch cabinets.

[0023] S1, obtaining the number of communication ports of the power secondary equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet; S2, enables several devices to share the same external communication port based on a timing multiplexing mechanism, and constructs constraints on the number of external communication ports according to the capacity of the external communication port, the total traffic requirements of each device, and the connectivity of the communication ports.

[0024] In this embodiment, the plurality of devices are allowed to share the same external communication port based on a timing multiplexing mechanism, and the constraint condition on the number of external communication ports is established according to the capacity of the external communication port, the total flow demand of each device, and the connectivity of the communication port, specifically: Discretize time into several time periods; Connecting a plurality of device communication ports to the first external communication port; Obtaining a first capacity of a first external port; In the same period, the total flow of several devices connected to the first external communication port through the first external communication port does not exceed the first capacity, thereby establishing a capacity constraint; Ensure that each device communication port has at least one path connected to the external port to build connectivity constraints; Ensure that the total traffic demand of each device is transmitted through the external communication port during all time periods and establish traffic demand constraints.

[0025] In this embodiment, the capacity constraint is specifically formulated as follows:

[0026] In the formula, is the traffic of device v through external communication port t in period k, is the capacity of the external port t, is a binary activation variable, is a collection of external communication ports, The total number of time periods.

[0027] In this embodiment, the method of ensuring that each device communication port has at least one path connected to the external port is specifically as follows: If there is a device connected to the first external port, the first external port is determined to be used; Introduce a binary activation variable, if the first external port is used, determine that the port is activated and set the activation variable to 1, if the second external port is not used, determine that the port is not activated and set the activation variable to 0; Introducing a binary connection variable, the connection variable is set to one if the first device communication port is connected to the first external port, and the connection variable is set to zero if the second device communication port is not connected to the first external port; Connectivity constraints are constructed based on binary activation variables and binary connection variables to ensure that each device communication port is connected to at least one activated external port.

[0028] In this embodiment, the connectivity constraint is specifically formulated as follows:

[0029] In the formula, is a binary connection variable, It is a collection of communication ports for electrical secondary equipment.

[0030] In this embodiment, the method of ensuring that the total flow demand of each device is transmitted through the external communication port in all time periods is specifically as follows: Obtain the total traffic demand of each device; The total traffic demand of each device is transmitted through the activated external communication ports during all time periods.

[0031] In this embodiment, the flow demand constraint is specifically formulated as follows:

[0032] In the formula, is the total flow demand of device v.

[0033] It should be noted that if port t is not activated at any time period, device v cannot transmit traffic through port t at any time period.

[0034] Timing multiplexing, also known as time division multiplexing, is a technology widely used in communications and computer systems. Its core concept is to divide time into several time slices, and multiple signal sources take turns using the same transmission channel in different time slices. In specific operations, the transmitter will allocate the data of each signal source to the corresponding time slice in a predetermined order, and then combine these time slices into a composite signal for transmission. The receiver will separate the data in the composite signal according to the order and allocation rules of the time slices and restore it to the original signals.

[0035] The time-division multiplexing mechanism has the following significant advantages: Improve channel utilization: By dividing time into multiple time slices, multiple signal sources can share the same channel, avoiding the waste of channel resources and thus improving channel utilization. For example, in a telephone communication system, the voice signals of multiple users can be transmitted on the same line through time-division multiplexing technology. Easy to implement: Compared with other multiplexing technologies, the implementation of time-division multiplexing technology is relatively simple, and does not require complex modulation and demodulation equipment, reducing the cost and complexity of the system. Support for multiple signal types: Time-division multiplexing technology can support multiple types of signals, such as digital signals, analog signals, etc., and has strong versatility and adaptability. Good synchronization: Since each signal source is transmitted in different time slices, the synchronization of the signal can be better guaranteed, reducing interference and conflict between signals. High flexibility: The length and number of time slices can be flexibly adjusted according to actual needs to adapt to different communication needs and data traffic. The time-division multiplexing mechanism plays an important role in modern communication and computer systems due to its advantages in channel utilization, implementation difficulty, signal support, synchronization and flexibility.

[0036] S3, constructs the total energy consumption function based on the static energy consumption of the external ports and the dynamic energy consumption of timing multiplexing.

[0037] In this embodiment, the total energy consumption function is constructed according to the static energy consumption of the external port and the dynamic energy consumption of timing multiplexing, specifically: Obtain the transmission flow of the secondary cable path in each time period; Get the static energy consumption of each external port; Obtain historical data on transmission flow and dynamic energy consumption, and obtain a dynamic energy consumption function that characterizes the positive correlation between dynamic energy consumption and transmission flow based on regression analysis; Combine the static energy consumption and dynamic energy consumption functions to construct the total energy consumption function.

[0038] In this embodiment, the dynamic energy consumption function is specifically formulated as follows:

[0039] In the formula, is the dynamic energy consumption, is the traffic of device v through external communication port t in period k, and is the dynamic energy consumption coefficient obtained based on regression analysis; The total energy consumption function has the following specific formula:

[0040] In the formula, is the total energy consumption, is the active static energy consumption of external port t, is a binary activation variable, The total number of time periods.

[0041] S4, a secondary cable quantity planning model is constructed based on undirected graph and mixed integer linear programming, which is solved with the minimum number of external ports and the lowest energy consumption as the goal, and is applied to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

[0042] In this embodiment, the secondary cable quantity planning model is constructed based on undirected graph and mixed integer linear programming, and is solved with the minimum number of external ports and the lowest energy consumption as the goal, and is applied to determine the number of secondary cables between the communication port of the power secondary equipment and the external communication port, specifically: The communication ports of electrical secondary equipment are abstracted as first-class nodes, the secondary cable paths are abstracted as edges, and the external communication ports are abstracted as second-class nodes. A secondary cable quantity planning model is constructed based on undirected graphs and mixed integer linear programming. Taking minimizing the number of external communication ports and minimizing the total energy consumption as the objective function, combined with the constraint of the number of external communication ports, the optimal solution is found from feasible solutions and applied to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

[0043] In this embodiment, the secondary cable quantity planning model is modeled as follows:

[0044] In the formula, is an undirected graph, It is a collection of communication ports for electrical secondary equipment. is a collection of external communication ports, is the collection of secondary cable paths.

[0045] An undirected graph is a basic structure in graph theory. It consists of a set of vertices (nodes) and a set of edges connecting these vertices, where each edge has no direction. That is, if there is an edge between vertex A and vertex B, then A can reach B, and B can also reach A, and the two endpoints of the edge are equal. For example, in an undirected graph representing road connections between cities, cities are vertices, roads are edges, a road connects two cities, and traffic between the two cities is bidirectional.

[0046] Undirected graphs have the following advantages: Simple and intuitive: They can concisely describe the symmetrical relationship between things, and are easy to understand and build models. For example, in social networks, friend relationships can be represented by undirected graphs. If A is a friend of B, then B is also a friend of A. Wide applicability: They are applicable to many practical scenarios, such as the relationship between power stations connected by transmission lines in power transmission networks, and the road connections between cities in transportation networks. The connections between elements in these scenarios are often undirected. Relatively simple algorithms: Some algorithms based on undirected graphs, such as finding connected components and minimum spanning trees, are relatively easy to implement and understand, which is conducive to analyzing and processing graph structures.

[0047] Mixed Integer Linear Programming (MILP) is a mathematical optimization technique. In this planning model, the objective function and constraints are linear functions of the decision variables, and the decision variables include both continuous variables and integer variables (including 0-1 variables, that is, special integer variables that can only take 0 or 1). In production planning, it is necessary to decide the quantity of different products to be produced (continuous variables), and whether to turn on certain specific production equipment (1 for turning on, 0 for not turning on), and subject to linear constraints such as raw material supply and production time, to minimize the total cost of production or maximize the total profit. This can be modeled as a mixed integer linear programming problem.

[0048] Mixed integer linear programming has the following advantages: High flexibility: It can handle complex problems that contain both continuous and integer decision variables, and can more accurately model various practical situations in the real world. Wide application: It has important applications in many fields, such as optimizing inventory and transportation plans, resource allocation, facility site selection, network design, etc. in supply chain management. Perfect theory: It has a mature theoretical basis and solution algorithm. For many problems of actual scale, the existing algorithms can effectively find the optimal solution or high-quality approximate solution. Strong interpretability: Its linear objective function and constraints make the solution of the model have good interpretability, which is easy for decision makers to understand and use.

[0049] Figure 2 A schematic diagram of a network communication port according to an embodiment of the present invention is provided.

[0050] Figure 3 An example diagram of an undirected graph according to an embodiment of the present invention is given.

[0051] Embodiment 2 comprises the following steps: S1, obtaining the number of communication ports of the power secondary equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet; S2, allowing several devices to share the same external communication port based on a time-series multiplexing mechanism, and constructing constraints on the number of external communication ports based on the capacity of the external communication port, the total traffic requirements of each device, and the connectivity of the communication ports; S3, constructs a total energy consumption function based on the static energy consumption of external ports and the dynamic energy consumption of timing multiplexing; S4, a secondary cable quantity planning model is constructed based on undirected graph and mixed integer linear programming, which is solved with the minimum number of external ports and the lowest energy consumption as the goal, and is applied to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

[0052] In this embodiment, the communication port of the secondary power equipment in the switch cabinet is obtained. and ; Get the optional external communication port outside the switch cabinet and .

[0053] In this embodiment, the external communication port is obtained. The capacity is 10Mbps, external communication port The capacity is 15Mbps.

[0054] In this embodiment, based on the timing multiplexing mechanism, the number of time periods is set to 2.

[0055] In this embodiment, the traffic requirements of the communication ports of the power secondary equipment are respectively and .

[0056] In this embodiment, the static energy consumption of the external port is 2 units per time period.

[0057] In this embodiment, the dynamic energy consumption coefficient obtained by regression analysis is and 0.5 per MB and 0 respectively.

[0058] In this embodiment, the connectivity constraints are:

[0059] In this embodiment, the capacity constraint is:

[0060] In this embodiment, the traffic demand constraints are:

[0061] In this embodiment, the total energy consumption function is:

[0062] In the formula, is the total energy consumption, For external communication port The binary activation variable, For external communication port The binary activation variable, is the traffic of device v through external communication port t in period k.

[0063] In this embodiment, minimizing the number of external communication ports and minimizing total energy consumption are taken as objective functions, and the optimal solution is found from feasible solutions, which is applied to determine the number of secondary cables between the communication ports of the secondary power equipment and the external communication ports.

[0064] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0065] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product.

[0066] Those of ordinary skill in the art will appreciate that the modules and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0067] In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0068] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0069] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication, characterized in that: The following steps are involved: Obtain the number of communication ports for power secondary equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet; Allowing several devices to share the same external communication port based on a time-series multiplexing mechanism, and establishing constraints on the number of external communication ports based on the capacity of the external communication port, the total traffic requirements of each device, and the connectivity of the communication ports; Construct a total energy consumption function based on the static energy consumption of external ports and the dynamic energy consumption of timing multiplexing; A secondary cable quantity planning model is constructed based on undirected graph and mixed integer linear programming, and is solved with the minimum number of external ports and the lowest energy consumption as the goal. It is applied to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

2. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 1 is characterized in that: The method of allowing a plurality of devices to share the same external communication port based on a timing multiplexing mechanism and constructing a constraint condition on the number of external communication ports according to the capacity of the external communication port, the total flow requirements of each device and the connectivity of the communication port is specifically as follows: Discretize time into several time periods; Connecting a plurality of device communication ports to the first external communication port; Obtaining a first capacity of a first external port; In the same period, the total flow of several devices connected to the first external communication port through the first external communication port does not exceed the first capacity, thereby establishing a capacity constraint; Ensure that each device communication port has at least one path connected to the external port to build connectivity constraints; Ensure that the total traffic demand of each device is transmitted through the external communication port during all time periods and establish traffic demand constraints.

3. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 2 is characterized in that: The total energy consumption function is constructed according to the static energy consumption of the external port and the dynamic energy consumption of timing multiplexing, specifically: Obtain the transmission flow of the secondary cable path in each time period; Get the static energy consumption of each external port; Obtain historical data on transmission flow and dynamic energy consumption, and obtain a dynamic energy consumption function that characterizes the positive correlation between dynamic energy consumption and transmission flow based on regression analysis; Combine the static energy consumption and dynamic energy consumption functions to construct the total energy consumption function.

4. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 3 is characterized in that: The secondary cable quantity planning model is constructed based on undirected graph and mixed integer linear programming, and is solved with the minimum number of external ports and the lowest energy consumption as the goal, and is applied to determine the number of secondary cables between the communication port of the power secondary equipment and the external communication port, specifically: The communication ports of electrical secondary equipment are abstracted as first-class nodes, the secondary cable paths are abstracted as edges, and the external communication ports are abstracted as second-class nodes. A secondary cable quantity planning model is constructed based on undirected graphs and mixed integer linear programming. Taking minimizing the number of external communication ports and minimizing the total energy consumption as the objective function, combined with the constraint of the number of external communication ports, the optimal solution is found from feasible solutions and applied to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports.

5. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 4 is characterized in that: The method of ensuring that each device communication port has at least one path connected to the external port is specifically as follows: If there is a device connected to the first external port, the first external port is determined to be used; Introduce a binary activation variable, if the first external port is used, determine that the port is activated and set the activation variable to 1, if the second external port is not used, determine that the port is not activated and set the activation variable to 0; Introducing a binary connection variable, the connection variable is set to one if the first device communication port is connected to the first external port, and the connection variable is set to zero if the second device communication port is not connected to the first external port; Connectivity constraints are constructed based on binary activation variables and binary connection variables to ensure that each device communication port is connected to at least one activated external port.

6. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 5 is characterized in that: The method of ensuring that the total flow demand of each device is transmitted through the external communication port in all time periods is as follows: Obtain the total traffic demand of each device; The total traffic demand of each device is transmitted through the activated external communication ports during all time periods.

7. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 6 is characterized in that: The specific formula of the capacity constraint is: In the formula, is the traffic of device v through external communication port t in period k, is the capacity of the external port t, is a binary activation variable, is a collection of external communication ports, is the total number of time periods; The connectivity constraint is specifically formulated as follows: In the formula, is a binary connection variable, It is a collection of communication ports for electrical secondary equipment; The specific formula of the flow demand constraint is: In the formula, is the total flow demand of device v.

8. The lightweight optimization method for secondary cables of miniaturized switch cabinets based on network communication according to claim 7 is characterized in that: The dynamic energy consumption function has the following specific formula: In the formula, is the dynamic energy consumption, is the traffic of device v through external communication port t in period k, and is the dynamic energy consumption coefficient obtained based on regression analysis; The total energy consumption function has the following specific formula: In the formula, is the total energy consumption, is the active static energy consumption of external port t, is a binary activation variable, The total number of time periods.

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