Miniaturized Switchgear Secondary Cable Lightweight Optimization Method Based on Network Communication

Abstract

The present invention discloses a lightweight optimization method for secondary cables of a miniaturized switchgear based on network communication, which relates to the technical field of power cables and includes the following steps: obtaining the number of communication ports of power secondary equipment inside the switchgear and the number of optional external communication ports outside the switchgear; enabling several devices to share the same external communication port based on a time-division multiplexing mechanism, and constructing a constraint condition for the number of external communication ports according to the external communication port capacity, the total traffic demand of each device, and the communication port connectivity; constructing a total energy consumption function based on the static energy consumption of the external ports and the dynamic energy consumption of time-division multiplexing; constructing a secondary cable quantity planning model based on an undirected graph and mixed integer linear programming, solving it with the goal of the least number of external ports and the lowest energy consumption, and applying it to determine the number of secondary cables between the communication ports of power secondary equipment and the external communication ports. This application is used to solve the problem of the complexity of secondary cables inside and between switchgears.

Description

Technical Field

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

[0002] Miniaturized switchgear is a power distribution device that achieves volume reduction through integrated design, intelligent control, and material innovation. Its core lies in balancing high reliability and intelligence within a limited space. Since its rise in the early 21st century, the application of modular structures, silicon carbide solid-state circuit breakers, and digital twin technology has driven its development towards a more compact and efficient direction, widely serving scenarios such as new energy access in the power grid. Future trends include ultra-miniaturized design, wireless communication, and self-organizing network capabilities, aiming to achieve device miniaturization and full-life-cycle intelligent management.

[0003] Electrical secondary equipment is a non-direct electrical energy conversion device used for monitoring, control, protection, and communication in a power system. By working in coordination with primary equipment (such as generators, transformers, circuit breakers, etc.), it realizes the 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 optical fiber switches, protocol converters). With the development of smart grids, secondary equipment is evolving from traditional stand-alone and analog forms towards digital and integrated forms, enabling interoperability and information sharing among devices.

[0004] As a key carrier for signal transmission in a power system, secondary cables are undergoing an iterative upgrade from traditional copper-core armored cables to lightweight and intelligent ones. Innovations in aluminum alloy conductors and aerogel insulation layers in the material field have significantly reduced weight and energy consumption, while structural optimization has improved space adaptability through designs such as flat cables and fiber-optic composite phase conductors. Intelligent integration such as radio frequency identification tags and distributed sensors enables them to have the capabilities of self-diagnosis of status and asset tracking. Despite facing challenges in signal integrity under high-speed communication, their reliability has been continuously improved through differential signal design and accelerated aging verification, making them the core connectors in the fields of smart grids and rail transit.

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

[0006] For example, a single-circuit multi-branch optimization system and method for a collector line of a new energy power station announced in the invention patent announcement with the announcement number of CN117375066B disclose a single-circuit multi-branch optimization system and method for a collector line of a new energy power station. The optimization system includes multiple collector lines. A single collector line includes multiple new energy power generation unit groups, and the multiple new energy power generation unit groups are respectively connected to different branches of a single cable branch box; The output end of a single cable branch box is connected to the input end of a transformer through a corresponding switch cabinet; The output end of the transformer is connected to the power grid. The method determines the number of collector line circuits according to the number of new energy power generation units and their corresponding capacities and the average transmission capacity of the collector line; And the number of branches of the single-circuit collector line is determined according to the transmission capacity of the single-circuit collector line and the current-carrying capacity of the largest cross-section cable selected. The present invention optimizes the multi-branching of a single-circuit collector line by setting a cable branch box, thereby optimizing the number of collector line circuits, 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] In the above disclosed technical solutions, there are at least the following technical problems:

[0008] There is a problem of excessive redundancy of secondary cables inside and between switch cabinets, resulting in low fault troubleshooting efficiency, difficult operation and maintenance, and easy to cause the risk of miswiring.

[0009] In view of the above problems, the present invention proposes a solution. Summary of the Invention

[0010] In order to overcome the above defects of the prior art, an embodiment of the present invention provides a method for optimizing the lightweight of secondary cables of a miniaturized switch cabinet based on network communication, by determining the minimum number of external communication ports of the switch cabinet under the lowest energy consumption to solve the problem of the complexity of secondary cables inside and between switch cabinets.

[0011] To achieve the above object, the present invention provides the following technical solutions:

[0012] A lightweight optimization method for secondary cables of a miniaturized switchgear based on network communication, comprising the following steps: obtaining the number of communication ports of power secondary equipment inside the switchgear and the number of optional external communication ports outside the switchgear; enabling a plurality of devices to share the same external communication port based on a time-division multiplexing mechanism, and constructing a constraint condition for the number of external communication ports according to the communication capacity of the external communication port, the total traffic demand 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 communication port and the dynamic energy consumption of time-division multiplexing; constructing a secondary cable quantity planning model based on an undirected graph and mixed-integer linear programming, solving with the goal of the least number of external communication ports and the lowest energy consumption, and applying it to determine the number of secondary cables between the communication ports of power secondary equipment and external communication ports.

[0013] In a preferred embodiment, the step of enabling a plurality of devices to share the same external communication port based on a time-division multiplexing mechanism and constructing a constraint condition for the number of external communication ports according to the communication capacity of the external communication port, the total traffic demand of each device, and the connectivity of the communication port is specifically as follows: discretizing time into a plurality of time periods; enabling the communication ports of a plurality of devices to be connected to a first external communication port; obtaining the communication capacity of the first external communication port; within the same time period, the total traffic of a plurality of devices connected to the first external communication port through the first external communication port does not exceed the communication capacity, constructing a capacity constraint; ensuring that at least one path of each device's communication port is connected to the external communication port, constructing a connectivity constraint; ensuring that the total traffic demand of each device is transmitted through the external communication port within all time periods, constructing a traffic demand constraint.

[0014] In a preferred embodiment, the step of constructing a total energy consumption function according to the static energy consumption of the external communication port and the dynamic energy consumption of time-division multiplexing is specifically as follows: obtaining the transmission traffic of the secondary cable path in each time period; obtaining the static energy consumption of each external communication port; obtaining the historical data of the transmission traffic and the dynamic energy consumption, and obtaining a dynamic energy consumption function representing the positive correlation between the dynamic energy consumption and the transmission traffic based on regression analysis; combining the static energy consumption and the dynamic energy consumption function to construct a total energy consumption function.

[0015] In a preferred embodiment, the quadratic cable quantity planning model is constructed based on an undirected graph and mixed integer linear programming, and solved with the goal of minimizing the number of external communication ports and the lowest energy consumption, which is applied to determine the quantity of secondary cables between the communication ports of power secondary equipment and the external communication ports. Specifically: abstract the communication ports of electrical secondary equipment as the first type of nodes, the paths of secondary cables as edges, and the external communication ports as the second type of nodes, and construct a quadratic cable quantity planning model based on an undirected graph and mixed integer linear programming; take minimizing the number of external communication ports and minimizing the total energy consumption as the objective function, combine the constraint conditions of the number of external communication ports, and find the optimal solution from the feasible solutions, which is applied to determine the quantity of secondary cables between the communication ports of power secondary equipment and the external communication ports.

[0016] In a preferred embodiment, ensuring that at least one path of each device's communication port is connected to an external communication port is specifically as follows: if there is a device connected to the first external communication port, it is determined that the first external communication port is in use; introduce a binary activation variable. If the first external communication port is in use, it is determined that the port is activated and the activation variable is set to 1. If the second external communication port is not in use, it is determined that the port is not activated and the activation variable is set to 0; introduce a binary connection variable. If a connection is established between the first device communication port and the first external communication port, the connection variable is set to 1. If no connection is established between the second device communication port and the first external communication port, the connection variable is set to 0; construct connectivity constraint conditions according to the binary activation variable and the binary connection variable to ensure that each device communication port is at least connected to an activated external communication port.

[0017] In a preferred embodiment, ensuring that the total traffic 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 port in all time periods.

[0018] The technical effects and advantages of the method for optimizing the weight reduction of secondary cables of a miniaturized switchgear based on network communication of the present invention:

[0019] By constructing the constraint conditions of the number of external communication ports, the present invention restricts the external communication ports, which helps to reduce redundant connections from the physical layer, and further reduces the complexity of secondary cables inside and between switchgears; by constructing the total energy consumption function and constructing a quadratic 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 communication ports and the lowest energy consumption, so as to minimize the energy consumption on the premise of ensuring communication reliability, and finally form a collaborative solution for structural optimization and energy consumption control, effectively solving the problem of the complexity of secondary cables inside and between switchgears. Description of the Drawings

[0020] Figure 1Schematic diagram of the lightweight optimization method for secondary cables of a miniaturized switchgear based on network communication provided by an embodiment of the present invention.

[0021] Figure 2 Schematic diagram of the network communication port principle provided by an embodiment of the present invention.

[0022] Figure 3 Example graph of an undirected graph provided by an embodiment of the present invention. Specific implementation manners

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0024] Embodiment 1 Figure 1 A lightweight optimization method for secondary cables of a miniaturized switchgear based on network communication is given, including the following steps:

[0025] S1. Obtain the number of communication ports of power secondary equipment inside the switchgear and the number of optional external communication ports outside the switchgear;

[0026] S2. Let several devices share the same external communication port based on the time-division multiplexing mechanism, and construct the constraint conditions for the number of external communication ports according to the communication capacity of the external communication port, the total traffic demand of each device, and the connectivity of the communication port;

[0027] S3. Construct the total energy consumption function according to the static energy consumption of the external communication port and the dynamic energy consumption of time-division multiplexing;

[0028] S4. Construct a secondary cable quantity planning model based on an undirected graph and mixed integer linear programming, solve it with the goal of the least number of external communication ports and the lowest energy consumption, and apply it to determine the number of secondary cables between the communication ports of power secondary equipment and external communication ports.

[0029] In this embodiment, by constructing the constraint conditions for the number of external communication ports to constrain the external communication ports, it helps to reduce redundant connections from the physical layer, thereby reducing the complexity of secondary cables inside and between switchgears; by constructing the total energy consumption function and constructing a secondary cable quantity planning model based on an undirected graph and mixed integer linear programming, find the optimal solution between the least number of external communication ports and the lowest energy consumption, so as to minimize energy consumption on the premise of ensuring communication reliability, and finally form a collaborative solution for structure optimization and energy consumption control, effectively solving the problem of the complexity of secondary cables inside and between switchgears.

[0030] S1. Obtain the number of communication ports of the secondary power equipment inside the switchgear and the number of optional external communication ports outside the switchgear;

[0031] S2. Let several devices share the same external communication port based on the time-division multiplexing mechanism, and construct the constraint conditions for the number of external communication ports according to the communication capacity of the external communication port, the total traffic demand of each device, and the connectivity of the communication port.

[0032] In this embodiment, the step of letting several devices share the same external communication port based on the time-division multiplexing mechanism and constructing the constraint conditions for the number of external communication ports according to the communication capacity of the external communication port, the total traffic demand of each device, and the connectivity of the communication port is specifically as follows:

[0033] Discretize time into several time periods;

[0034] Let the communication ports of several devices be connected to the first external communication port;

[0035] Obtain the communication capacity of the first external communication port;

[0036] 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 communication capacity, and construct the capacity constraint;

[0037] Ensure that there is at least one path from each device's communication port to the external communication port, and construct the connectivity constraint;

[0038] Ensure that the total traffic demand of each device is transmitted through the external communication port within all time periods, and construct the traffic demand constraint.

[0039] In this embodiment, the capacity constraint, the specific formula is:

[0040]

[0041] In the formula, is the traffic of device v through external communication port t in time period k, is the communication capacity of external communication port t, is a binary activation variable, is the set of external communication ports, is the total number of time periods.

[0042] In this embodiment, the step of ensuring that there is at least one path from each device's communication port to the external communication port is specifically as follows:

[0043] If there is a device connected to the first external communication port, the first external communication port is determined to be in use;

[0044] Introduce a binary activation variable. If the first external communication port is in use, determine that the port is activated and set the activation variable to one. If the second external communication port is not in use, determine that the port is not activated and set the activation variable to zero;

[0045] Introduce a binary connection variable. If a connection is established between the first device communication port and the first external communication port, set the connection variable to one. If no connection is established between the second device communication port and the first external communication port, set the connection variable to zero;

[0046] Construct a connectivity constraint condition based on the binary activation variable and the binary connection variable to ensure that each device communication port is connected to at least one activated external communication port.

[0047] In this embodiment, the connectivity constraint, the specific formula is:

[0048]

[0049] In the formula, is the binary connection variable, is the set of communication ports of electrical secondary equipment.

[0050] In this embodiment, ensuring that the total traffic demand of each device is transmitted through the external communication port at all times is specifically:

[0051] Obtain the total traffic demand of each device;

[0052] The total traffic demand of each device is transmitted through the activated external communication port at all times.

[0053] In this embodiment, the traffic demand constraint, the specific formula is:

[0054]

[0055] In the formula, is the total traffic demand of device v.

[0056] 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.

[0057] The time-division multiplexing mechanism, also known as the time-division multiplexing mechanism, is a technology widely used in communication and computer systems. Its core concept is to divide time into several time slots, and multiple signal sources take turns using the same transmission channel in different time slots. In specific operations, the sending end will, in accordance with a pre-set order, sequentially allocate the data of each signal source to the corresponding time slots, and then combine these time slots into a composite signal for transmission. The receiving end will, according to the order and allocation rules of the time slots, separate the data in the composite signal and restore it to each original signal.

[0058] The time-division multiplexing mechanism has the following remarkable advantages: Improving channel utilization: By dividing time into multiple time slots, multiple signal sources can share the same channel, avoiding 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, without the need for complex modulation and demodulation equipment, reducing the cost and complexity of the system. Supporting multiple signal types: Time-division multiplexing technology can support multiple types of signals, such as digital signals, analog signals, etc., with strong versatility and adaptability. Good synchronization: Since each signal source transmits in different time slots, the synchronization of signals can be better guaranteed, reducing interference and conflicts between signals. High flexibility: The length and number of time slots can be flexibly adjusted according to actual needs to adapt to different communication requirements and data traffic. Relying on its advantages in aspects such as channel utilization, implementation difficulty, signal support, synchronization, and flexibility, the time-division multiplexing mechanism plays an important role in modern communication and computer systems.

[0059] S3. Construct a total energy consumption function based on the static energy consumption of the external communication port and the dynamic energy consumption of time-division multiplexing.

[0060] In this embodiment, constructing the total energy consumption function based on the static energy consumption of the external communication port and the dynamic energy consumption of time-division multiplexing is specifically as follows:

[0061] Obtain the transmission traffic of the secondary cable path in each time period;

[0062] Obtain the static energy consumption of each external communication port;

[0063] Obtain the historical data of the transmission traffic and the dynamic energy consumption, and based on regression analysis, obtain a dynamic energy consumption function representing the positive correlation between the dynamic energy consumption and the transmission traffic;

[0064] Combine the static energy consumption and the dynamic energy consumption function to construct a total energy consumption function.

[0065] In this embodiment, the specific formula of the dynamic energy consumption function is:

[0066]

[0067] In the formula, is the dynamic energy consumption, is the traffic of device v passing through the external communication port t in time period k, and are the dynamic energy consumption coefficients obtained according to regression analysis;

[0068] The specific formula of the total energy consumption function is:

[0069]

[0070] Wherein, is the total energy consumption, is the static activation energy consumption of the external communication port t, is the binary activation variable, is the total number of time periods.

[0071] S4. Construct a secondary cable quantity planning model based on an undirected graph and mixed-integer linear programming, solve it with the goal of minimizing the number of external communication ports and the lowest energy consumption, and apply it to determine the number of secondary cables between the communication ports of power secondary equipment and external communication ports.

[0072] In this embodiment, the construction of the secondary cable quantity planning model based on an undirected graph and mixed-integer linear programming, solving it with the goal of minimizing the number of external communication ports and the lowest energy consumption, and applying it to determine the number of secondary cables between the communication ports of power secondary equipment and external communication ports are specifically as follows:

[0073] Abstract the communication ports of electrical secondary equipment as the first type of nodes, the secondary cable paths as edges, and the external communication ports as the second type of nodes, and construct a secondary cable quantity planning model based on an undirected graph and mixed-integer linear programming;

[0074] Take minimizing the number of external communication ports and minimizing the total energy consumption as the objective function, combine the constraint conditions of the number of external communication ports, and find the optimal solution from the feasible solutions, and apply it to determine the number of secondary cables between the communication ports of power secondary equipment and external communication ports.

[0075] In this embodiment, the secondary cable quantity planning model is modeled as

[0076] Wherein, is an undirected graph, is the set of communication ports of electrical secondary equipment, is the set of external communication ports, is the set of secondary cable paths.

[0077] 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 to say, if there is an edge between vertex A and vertex B, then one can reach B from A, and one can also reach A from B, and the two endpoints of the edge are equal in status. For example, in an undirected graph representing the road connections between cities, the cities are vertices and the roads are edges. A road connects two cities, and the traffic between the two cities is two-way.

[0078] Undirected graphs have the following advantages: Simple and intuitive: They can concisely describe the symmetric relationships between things, making it easy to understand and build models. For example, in a social network, the friendship relationship can be represented by an undirected graph. If A is a friend of B, then B is also a friend of A. Wide applicability: It is applicable to many practical scenarios. For example, in a power transmission network, the relationship between power stations connected by transmission lines, and in a transportation network, the road connections between cities. In these scenarios, the connections between elements 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 beneficial for analyzing and processing graph structures.

[0079] Mixed Integer Linear Programming (MILP) is a mathematical optimization technique. In this programming model, the objective function and constraint conditions are both linear functions of decision variables. At the same time, among the decision variables, there are 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 determine the quantity of different products to be produced (continuous variables), and at the same time, it is necessary to determine whether to start certain specific production equipment (start is 1, not start is 0), and be restricted by linear constraint conditions such as raw material supply and production time, so as to minimize the total production cost or maximize the total profit. This can be modeled as a mixed integer linear programming problem.

[0080] Mixed Integer Linear Programming has the following advantages: High flexibility: It can handle complex problems that simultaneously contain continuous and integer decision variables, and can more accurately model various actual situations in the real world. Wide application: It has important applications in multiple fields, such as optimizing inventory and transportation plans, resource allocation, facility location, network design, etc. in supply chain management. Well-developed theory: It has a mature theoretical basis and solution algorithms. For many problems of actual scale, existing algorithms can effectively find the optimal solution or high-quality approximate solutions. Strong interpretability: Its linear objective function and constraint conditions make the solution of the model have good interpretability, which is convenient for decision-makers to understand and use.

[0081] Figure 2 The schematic diagram of the network communication port of the embodiment of the present invention is given.

[0082] Figure 3 The example diagram of the undirected graph of the embodiment of the present invention is given.

[0083] Embodiment 2 includes the following steps:

[0084] S1, obtain the number of communication ports of the secondary power equipment in the switch cabinet and the number of optional external communication ports outside the switch cabinet;

[0085] S2. Let several devices share the same external communication port based on the time-division multiplexing mechanism, and construct the constraint conditions for the number of external communication ports according to the communication capacity of the external communication port, the total traffic demand of each device, and the connectivity of the communication port.

[0086] S3. Construct the total energy consumption function according to the static energy consumption of the external communication port and the dynamic energy consumption of time-division multiplexing.

[0087] S4. Based on the undirected graph and mixed integer linear programming, construct a secondary cable number planning model, solve it with the goal of the least number of external communication ports and the lowest energy consumption, and apply it to determine the number of secondary cables between the communication ports of power secondary devices and the external communication ports.

[0088] In this embodiment, the communication ports of the power secondary devices in the switch cabinet are obtained as and ; The optional external communication ports outside the switch cabinet are obtained as and .

[0089] In this embodiment, the capacity of the external communication port is 10 Mbps, and the capacity of the external communication port is 15 Mbps.

[0090] In this embodiment, based on the time-division multiplexing mechanism, the number of time slots is set to 2.

[0091] In this embodiment, the traffic demand of the communication ports of the power secondary devices are respectively and .

[0092] In this embodiment, the static energy consumption of the external communication port is 2 units per time slot.

[0093] In this embodiment, the dynamic energy consumption coefficients and obtained according to regression analysis are 0.5 per MB and 0 respectively.

[0094] In this embodiment, connectivity constraint:

[0095]

[0096] In this embodiment, capacity constraint:

[0097]

[0098] In this embodiment, traffic demand constraint:

[0099]

[0100] In this embodiment, total energy consumption function:

[0101]

[0102] Wherein, is the total energy consumption, is the binary activation variable of the external communication port , is the binary activation variable of the external communication port , is the traffic of device v at time period k through the external communication port t.

[0103] In this embodiment, with minimizing the number of external communication ports and minimizing the total energy consumption as the objective function, an optimal solution is searched from the feasible solutions and applied to determine the number of secondary cables between the communication ports of the secondary electrical equipment and the external communication ports.

[0104] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0105] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented using software, the above embodiments can be implemented in whole or in part in the form of a computer program product.

[0106] Those of ordinary skill in the art can realize that the modules and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of this application.

[0107] In addition, in each embodiment of this application, the functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module.

[0108] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

[0109] Finally, the above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included within 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 communication capacity of the external communication port, the total traffic requirements of each device, and the connectivity of the communication port; Construct a total energy consumption function based on the static energy consumption of the external communication port 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. The model is solved with the minimum number of external communication 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 communication 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; Acquiring the communication capacity of the first external communication port; In the same period, the total traffic of several devices connected to the first external communication port through the first external communication port does not exceed the communication capacity, thereby establishing a capacity constraint; Ensure that each device communication port has at least one path connected to the external communication 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 communication port and the dynamic energy consumption of timing multiplexing, specifically: Obtain the transmission flow of the secondary cable path in each time period; Obtain the static energy consumption of each external communication 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 communication ports and the lowest energy consumption as the goal. It 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 communication port is specifically: If there is a device connected to the first external communication port, the first external communication port is determined to be used; Introducing a binary activation variable, if the first external communication port is used, it is determined that the port is activated and the activation variable is set to one, if the second external communication port is not used, it is determined that the port is not activated and the activation variable is set to zero; Introducing a binary connection variable, the connection variable is set to one if the first device communication port is connected to the first external communication port, and the connection variable is set to zero if the second device communication port is not connected to the first external communication 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 communication 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 communication capacity of the external communication 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 the external communication port t, is a binary activation variable, The total number of time periods.

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