Busbar Trunking Wiring Optimization Method and System for Low-Voltage Power Supply and Distribution System

Abstract

The present invention relates to the technical field of power wiring optimization, and specifically includes a busbar wiring optimization method and system for a low-voltage power supply and distribution system, including: collecting the basic parameters of the low-voltage power supply and distribution system, combining the load distribution, and preliminarily designing the circuit layout and topological structure through a simulation model; optimizing the wiring path according to the characteristics of the rated current, cross-section, insulation level, and heat dissipation performance of the busbar to form a preliminary optimized wiring plan; combining the actual three-dimensional space structure, using the simulation scenario to refine and adjust the wiring, generating a final optimization set, sorting out the common use of branch points to simplify the wiring, and determining the optimal busbar wiring plan, solving the technical problem that the wiring design is often based on empirical values and existing conditions, and the layout planning is not fully adapted to the busbar technology, realizing the use of busbar components, carrying out accurate load prediction and simulation, combining the three-dimensional space layout design and simplifying the wiring sharing, and determining the optimal distribution busbar wiring plan, so as to fully adapt to the busbar technical effect.

Description

Technical Field

[0001] The present invention relates to the technical field of power wiring optimization, and particularly to a busbar wiring optimization method and system for low-voltage power supply and distribution systems. Background Art

[0002] Low-voltage distribution systems often rely on cables for a large number of complex connections. Especially in high-density load areas and large projects, due to the large number of cables, large occupied space, difficult heat dissipation control, difficult installation and maintenance, and high costs, it is difficult to meet the growing requirements of energy management, space utilization, and energy conservation and consumption reduction. The characteristics of busbars, such as easy installation and easy expansion, are commonly used in low-voltage power supply and distribution. Generally speaking, the selection of the installation location of busbars needs to fully consider factors such as heat dissipation conditions and maintenance convenience. Conventional wiring design layout planning may not be flexible enough, and common wiring methods are not suitable for low-voltage power supply and distribution systems using busbars. The current low-voltage power supply and distribution systems using busbars cannot fully utilize the characteristics of busbars.

[0003] In summary, there is a technical problem in the prior art that wiring design often based on empirical values and existing conditions, and the layout planning is not fully adapted to busbars. Summary of the Invention

[0004] This application provides a busbar wiring optimization method and system for low-voltage power supply and distribution systems, aiming to solve the technical problem in the prior art that wiring design often based on empirical values and existing conditions, and the layout planning is not fully adapted to busbars.

[0005] In view of the above problems, the technical solution of this application is as follows:

[0006] In the first aspect disclosed in this application, a busbar wiring optimization method for low-voltage power supply and distribution systems is provided. Among them, the method includes: collecting basic design parameters of the low-voltage power supply and distribution system, where the basic design parameters include the power of electrical equipment, rated current, electrical distance between each distribution point, and power supply path;

[0007] Based on the basic design parameters, combined with the load distribution, evaluate the current-carrying capacity requirements of the distribution busbar, and use a simulation model to conduct a preliminary layout design to obtain a circuit topology diagram, where the circuit topology diagram includes the wiring path and the position of branch points;

[0008] Obtain the physical characteristic parameters of the distribution busbar, where the physical characteristic parameters include rated current, cross-sectional area, insulation grade, heat dissipation performance, and allowable bending radius;

[0009] Based on the physical characteristic parameters, combined with the circuit topology diagram, optimize the wiring path of the distribution busbar, configure an objective optimization function with the goal of minimizing line loss and maximizing power supply efficiency, and generate a first distribution busbar wiring optimization set;

[0010] Collect the three-dimensional spatial structure of the target power supply and distribution space, build a low-voltage power supply and distribution simulation scenario, import the first distribution busbar routing optimization set into the low-voltage power supply and distribution simulation scenario for routing adjustment to obtain a second distribution busbar routing optimization set, traverse each branch point in the second distribution busbar routing optimization set for simplification of routing sharing, and determine the optimal distribution busbar routing scheme, where the low-voltage power supply and distribution simulation scenario includes fixed obstacles and reserved maintenance channels.

[0011] Another aspect disclosed in this application provides a busbar routing optimization system for a low-voltage power supply and distribution system. The system includes: a basic design parameter collection module for collecting basic design parameters of the low-voltage power supply and distribution system, where the basic design parameters include the power of electrical equipment, rated current, electrical distance between each power distribution point, and power supply path;

[0012] A layout preliminary design module for evaluating the current-carrying capacity requirements of the distribution busbar based on the basic design parameters and in combination with the load distribution, and performing a preliminary layout design using a simulation model to obtain a circuit topology diagram, where the circuit topology diagram includes a routing path and branch point positions;

[0013] A physical characteristic parameter acquisition module for acquiring physical characteristic parameters of the distribution busbar, where the physical characteristic parameters include rated current, cross-sectional area, insulation grade, heat dissipation performance, and allowable bending radius;

[0014] A path optimization module for optimizing the routing path of the distribution busbar based on the physical characteristic parameters and in combination with the circuit topology diagram, configuring an objective optimization function to minimize line loss and maximize power supply efficiency, and generating a first distribution busbar routing optimization set;

[0015] A routing adjustment module for collecting the three-dimensional spatial structure of the target power supply and distribution space, building a low-voltage power supply and distribution simulation scenario, importing the first distribution busbar routing optimization set into the low-voltage power supply and distribution simulation scenario for routing adjustment to obtain a second distribution busbar routing optimization set, traversing each branch point in the second distribution busbar routing optimization set for simplification of routing sharing, and determining the optimal distribution busbar routing scheme, where the low-voltage power supply and distribution simulation scenario includes fixed obstacles and reserved maintenance channels.

[0016] In summary, one or more technical solutions provided in this application achieve the technical effect of using busbar components to perform accurate load forecasting and simulation, combining three-dimensional spatial layout design and simplifying routing sharing to determine the optimal distribution busbar routing scheme, thereby fully adapting to the busbar. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1This application provides a possible flow schematic diagram of the busbar routing optimization method for a low-voltage power supply and distribution system;

[0018] Figure 2 This application provides a possible flow schematic diagram of determining the historical data associated with key equipment in the busbar routing optimization method for a low-voltage power supply and distribution system;

[0019] Figure 3 This application provides a possible structural schematic diagram of the busbar routing optimization system for a low-voltage power supply and distribution system.

[0020] Explanation of reference numerals: Basic design parameter collection module M100, preliminary layout design module M200, physical characteristic parameter acquisition module M300, path optimization module M400, wiring adjustment module M500. Detailed implementation manners Embodiment 1

[0021] The following describes the present application in detail with reference to the accompanying drawings. As Figure 1 shown, this application provides a busbar routing optimization method for a low-voltage power supply and distribution system, wherein the method includes:

[0022] Step-1: Collect the basic design parameters of the low-voltage power supply and distribution system, where the basic design parameters include the power of electrical equipment, rated current, electrical distance between each power distribution point, and power supply path;

[0023] Step-2: Based on the basic design parameters, combined with the load distribution, evaluate the current-carrying capacity requirements of the distribution busbar, and use a simulation model to conduct a preliminary layout design to obtain a circuit topology diagram, where the circuit topology diagram includes the wiring path and the position of the branch point;

[0024] When routing the busbar in a low-voltage power supply and distribution system, a forward-looking wiring design is required to make the system have better scalability and flexibility. Specifically, determine the types, quantities of all electrical equipment in the low-voltage power supply and distribution system, the rated power and rated current of a single piece of equipment, measure and record the specific positions of each power distribution point, calculate the electrical distance between the power distribution points, clarify the length of the power supply path, and collect other factors that may affect the design, such as ambient temperature, voltage level, cable material and specifications, etc.

[0025] According to the power requirements of each electrical equipment, calculate the total load, consider the maximum load rate (peak load) that may occur during different time periods, analyze the load distribution characteristics, and determine the load center and potential load growth areas, which helps to reasonably plan the layout of the distribution busbar.

[0026] According to the total load and the load distribution of each branch circuit, referring to the electrical code, calculate the expected current-carrying capacity requirements of the distribution busbar and its branches. Considering the system margin and the possibility of future expansion, ensure that the selected busbar capacity can meet the load requirements for the current and future periods.

[0027] Using the collected basic design parameters and current-carrying capacity requirements, create a virtual low-voltage power supply and distribution system model using computer-aided design software or specialized electrical engineering simulation software. According to the load distribution and electrical distance, design the main trunk and branch paths of the distribution busbar, arrange the appropriate busbar models and sizes, run the simulation model, simulate the current flow and voltage drop under the actual working conditions, and verify the feasibility and rationality of the preliminary layout design.

[0028] According to the simulation results, draw a detailed circuit topology diagram, which will clearly show the wiring path of the distribution busbar, the location of the branch points, and the load distribution on each branch line. Check whether there are potential bottlenecks or unbalanced load phenomena in the topology diagram, and optimize and adjust as needed.

[0029] Step-3: Obtain the physical characteristic parameters of the distribution busbar, where the physical characteristic parameters include rated current, cross-sectional area, insulation level, heat dissipation performance, and allowable bending radius;

[0030] Step-4: Based on the physical characteristic parameters and combined with the circuit topology diagram, optimize the wiring path of the distribution busbar, configure the objective optimization function with the goal of minimizing line losses and maximizing power supply efficiency, and generate the first distribution busbar wiring optimization set;

[0031] Step-5: Collect the three-dimensional spatial structure of the target power supply and distribution space, build a low-voltage power supply and distribution simulation scenario, import the first distribution busbar wiring optimization set into the low-voltage power supply and distribution simulation scenario for wiring adjustment to obtain the second distribution busbar wiring optimization set, and traverse each branch point in the second distribution busbar wiring optimization set for simplification of wiring sharing to determine the optimal distribution busbar wiring scheme, where the low-voltage power supply and distribution simulation scenario includes fixed obstacles and reserved maintenance channels.

[0032] Obtain the physical characteristic parameters of the distribution busbar, including: determining the rated current of the required distribution busbar to facilitate matching the load requirements; calculating or referring to the cross-sectional area of the busbar to ensure that its current-carrying capacity meets the design requirements; obtaining the insulation level information of the busbar to ensure the safety and reliability of the system; understanding the heat dissipation performance index of the busbar to evaluate its ability to operate stably in the long term; recording the allowable bending radius of the busbar to ensure that the busbar will not be damaged due to excessive bending during installation.

[0033] Based on physical characteristic parameters, in combination with the wiring paths and branch point positions in the circuit topology diagram, a target optimization function is constructed to minimize line losses and maximize power supply efficiency. Using mathematical optimization methods, the wiring paths of the distribution busway are iteratively optimized to generate a first set of optimized wiring solutions for the distribution busway, which includes multiple feasible wiring schemes.

[0034] Obtain the actual 3D model data of the target power supply and distribution space, including the internal structure of the building, the positions and dimensions of fixed obstacles, etc. Use CAD or other 3D modeling tools to establish a low-voltage power supply and distribution simulation scenario that truly reflects the on-site situation, while considering reserving sufficient maintenance channels.

[0035] Import the first set of optimized wiring solutions for the distribution busway into the low-voltage power supply and distribution simulation scenario, simulate the actual wiring process, observe whether the wiring paths meet spatial conditions, avoid obstacles, and maintenance convenience, etc. According to the simulation results, adjust the wiring schemes that cannot adapt to the actual situation or are unreasonable. After optimization, a second set of optimized wiring solutions for the distribution busway is obtained.

[0036] In the second set of optimized wiring solutions for the distribution busway, traverse each branch point to find busway segments that can be shared to reduce installation complexity. By comparing factors such as line losses, power supply efficiency, investment costs, and maintenance convenience of different simplified wiring schemes, select the overall optimal distribution busway wiring scheme. Compare the optimal distribution busway wiring scheme with relevant design specifications and standards to ensure full compliance and meet project requirements. Organize the finally determined wiring scheme into detailed design drawings and guide the construction and installation.

[0037] Furthermore, in the second set of optimized wiring solutions for the distribution busway, traverse each branch point to simplify the wiring sharing, and determine the optimal distribution busway wiring scheme. The method of the present application includes:

[0038] In the second set of optimized wiring solutions for the distribution busway, traverse each branch point to identify wiring shared branch points, where the rated power and rated current of the electrical equipment connected to the wiring shared branch points are the same;

[0039] Based on the wiring shared branch points, perform wiring simplification, merge to form a collinear branch structure, and update the second set of optimized wiring solutions for the distribution busway;

[0040] Substitute into the target optimization function to evaluate the line losses and power supply efficiency of the collinear branch structure. If the configuration goal of minimizing line losses and maximizing power supply efficiency is met, determine to add the collinear branch structure to the optimal distribution busway wiring scheme; otherwise, return and traverse again.

[0041] In the optimization concentration of the formed second distribution busbar wiring, check each branch point one by one, analyze the power-consuming equipment connected downstream of it, determine the branch points that connect to power-consuming equipment with the same rated power and rated current, and mark them as wiring sharing branch points.

[0042] For the identified wiring sharing branch points, take simplification measures, that is, merge the originally independent branches into a common power supply line to construct a collinear branch structure; update the optimization set of the second distribution busbar wiring and record this new wiring scheme after simplification.

[0043] Substitute the newly formed collinear branch structure into the pre-set target optimization function. The target optimization function aims to quantitatively evaluate line loss and power supply efficiency, calculate whether the line loss under the collinear branch structure is reduced to the ideal range, and at the same time check whether the power supply efficiency is effectively improved and whether the design goal of minimizing line loss and maximizing power supply efficiency is achieved.

[0044] If the collinear branch structure meets the optimization goal, that is, the line loss has reached the minimum and the power supply efficiency has reached the maximum, then incorporate it into the optimal distribution busbar wiring scheme; if not, return to the first step and continue to traverse other branch points in the optimization set of the second distribution busbar wiring to find other possible wiring sharing and simplification opportunities until an optimal wiring scheme that meets all conditions is found.

[0045] Furthermore, based on the wiring sharing branch points, perform wiring simplification and merge to form a collinear branch structure. The method of the present application further includes:

[0046] Sort the wiring sharing branch points according to electrical connection similarity and wiring path overlap degree to determine the priority of the wiring sharing branch points;

[0047] Perform data mining based on the model parameters of the distribution busbar to obtain associated historical data, and the associated historical data includes wiring renovation and capacity expansion cases;

[0048] Analyze the power expansion requirements of the distribution busbar through the associated historical data and calibrate the priority of the wiring sharing branch points.

[0049] According to the principle of electrical connection similarity, analyze the types, properties, and load characteristics of the power-consuming equipment connected to the wiring sharing branch points. Branch points with higher similarity have higher priorities because branch points that conform to the principle of electrical connection similarity are easier to achieve collinear optimization. Sort according to the wiring path overlap degree. Branch points with closer or more overlapping wiring paths have higher priorities because merging such branch points can reduce wiring length and crossings and lower line loss.

[0050] Obtain the model parameters of the distribution busbar trunking, analyze its physical characteristics through data mining techniques, such as rated current, cross-sectional area, insulation level, etc., as well as historical wiring renovation and capacity expansion cases. Conduct in-depth research on historical cases to understand the performance and renovation potential of different models of busbar trunking when facing power expansion requirements, and extract the key factors and rules affecting wiring design.

[0051] Utilize the associated historical data, combine with the actual requirements and future development plans of the current low-voltage power supply and distribution system, predict the possible power expansion requirements faced by each wiring shared branch point. According to the prediction results, calibrate the priority of the wiring shared branch point. For branch points with large future power expansion requirements, even if the current electrical connection similarity or wiring path overlap degree is not the highest, they may be given higher priority due to their future expansion potential.

[0052] According to the results of the above priority sorting and calibration, select the wiring shared branch point with the highest priority for wiring simplification and merging to form a collinear branch structure, so as to minimize line losses, improve power supply efficiency and meet potential power expansion requirements; at the same time, continuously cycle through evaluation and optimization until the optimal state of the wiring scheme is achieved.

[0053] Furthermore, the method of this application conducts associative optimization on the power expansion requirements based on the associated historical data:

[0054] Based on the electrical equipment connected to the wiring shared branch point, connect to the low-voltage power supply and distribution system and download the operating parameters of the electrical equipment. The operating parameters of the electrical equipment include load historical data, peak load time, equipment operating status, and equipment start-stop records.

[0055] Through the operating parameters of the electrical equipment and the associated historical data, locate key equipment and determine the associated historical data of key equipment, which includes multiple equipment operation identifiers.

[0056] Based on the associated historical data of key equipment, conduct power expansion requirement prediction, obtain the prediction results, and optimize the power expansion requirements through the prediction results.

[0057] Conduct associative optimization on the power expansion requirements based on the associated historical data, specifically including: for the electrical equipment connected to the wiring shared branch point, obtain its operating parameters through the low-voltage power supply and distribution system. The operating parameters of the electrical equipment include, but are not limited to, load historical data, peak load time, the current operating status of the equipment, and equipment start-stop records.

[0058] Based on the collected operating parameters of power-consuming equipment and combined with related historical data, key equipment that has a significant impact on electricity demand is analyzed and identified. Key equipment usually exhibits characteristics such as large load fluctuations, frequent peak loads, unstable operating conditions, or a history of multiple renovations and expansions. For the identified key equipment, further related historical data is mined, such as past renovation and expansion cases, equipment failure records, equipment service life, equipment power growth trends, etc., to form key equipment related historical data, which includes multiple equipment operation identifiers.

[0059] Use statistical and machine learning prediction models, combined with the operating parameters of key equipment and related historical data, to conduct forecast analysis of power expansion demand. The forecast content includes but is not limited to the possible peak load, average load, possibility of equipment capacity increase and time window for equipment replacement in the future. Based on the forecast results, analyze the power expansion demand that may be generated by key equipment in the future and evaluate whether the existing bus duct wiring solution can meet the power expansion demand.

[0060] For key equipment that is predicted to have a significant increase in electricity demand, the shared wiring branch points where they are located will be optimized. This may include adjusting the wiring structure, increasing the current carrying capacity, reserving expansion interfaces and other measures to ensure that while meeting current demand, it can also adapt to future power expansion needs; continuously iterate and optimize until the wiring plan can better balance current demand and future expansion needs, and finally determine the optimal distribution bus duct wiring plan.

[0061] Furthermore, if Figure 2 As shown, the key equipment is located by using the operating parameters of the electrical equipment and the associated historical data to determine the associated historical data of the key equipment. The present application method includes:

[0062] Performing a pooling operation based on the associated historical data to determine minimum pooling key data and maximum pooling key data;

[0063] Using the minimum pooled key data and the maximum pooled key data, the operation stability check is performed on the operation parameters of the electrical equipment to obtain a maximum difference stability check result;

[0064] Based on the circuit topology diagram, key equipment is located by comparing the maximum difference stability check result, and key equipment-related historical data is determined.

[0065] Collect and organize the historical operation data of the electrical equipment connected to the wiring sharing branch points, including but not limited to load historical data, peak load time, and equipment start-stop records; perform pooling operations on the associated historical data with the aim of extracting representative statistical metrics. Among them, the minimum pooling key data refers to the minimum value of the equipment load within a certain period, while the maximum pooling key data refers to the maximum value of the equipment load, thereby reflecting the fluctuation range of the equipment operation status.

[0066] Utilize the minimum pooling key data and the maximum pooling key data to verify the operation stability of the equipment, calculate the difference between the two data to obtain the maximum-minimum difference stability verification result. If the difference is large, it indicates that the equipment operation status fluctuates violently, which may affect the stable supply of the power system. On the contrary, it indicates that the equipment operation is relatively stable.

[0067] Based on the circuit topology diagram, associate the maximum-minimum difference stability verification result with each equipment node, score or rank each equipment node. The equipment nodes with higher scores are considered key equipment. The operation status of key equipment has a greater impact on the entire power supply and distribution system. For the key equipment, deeply explore its associated historical data, including but not limited to the equipment's past failure records, renovation and expansion cases, and performance degradation trends.

[0068] Mark the specific locations of the key equipment in the circuit topology diagram, comprehensively analyze the associated historical data of the key equipment, and understand its characteristics in terms of operation status, performance change trends, and power expansion requirements in the historical period, providing data support for subsequent wiring optimization schemes.

[0069] Furthermore, based on the circuit topology diagram, locate the key equipment in accordance with the maximum-minimum difference stability verification result, and determine the associated historical data of the key equipment. The method of this application includes:

[0070] Based on the circuit topology diagram, extract multiple device connection relationships of the electrical equipment connected to the wiring sharing branch points;

[0071] Based on the multiple device connection relationships of the electrical equipment, trace the connection path from the power input end to the distribution bus duct, and establish multiple device connection paths for the same distribution bus duct. The device connection paths include intermediate node and branch information;

[0072] Traverse the distribution bus ducts in the circuit topology diagram and perform wiring compliance assessment using the wiring standards of the distribution bus ducts.

[0073] Based on the circuit topology diagram, identify the electrical equipment connected to the wiring sharing branch points and extract multiple connection relationships between the devices, which means finding all the devices connected to the distribution bus duct sharing branch points and the possible electrical connection paths between the wiring sharing branch points.

[0074] For each electrical equipment, along the circuit topology diagram, trace the complete connection path from its power input terminal to the connected distribution busbar trunking. During this process, record all intermediate nodes (such as switches, circuit breakers, etc.) and branch information in the path to form a complete equipment connection path map; integrate the equipment connection paths powered by the same distribution busbar trunking together to form a set containing multiple paths, so as to clearly reflect the load distribution borne by the distribution busbar trunking.

[0075] Traverse all distribution busbar trunkings in the circuit topology diagram. According to the wiring standard of the distribution busbar trunking (in Section 8.10 "Wiring of Distribution Busbar Trunking" of GB51348-2019 "Electrical Design Standard for Civil Buildings", relevant regulations on the design of distribution busbar trunking are made; in GB7251.2-2006 "Low-voltage switchgear and controlgear Part 2: Particular requirements for busbar trunking systems (distribution busbar trunking)", specific requirements for the relevant parameter tests of distribution busbar trunking are put forward), conduct compliance assessment on the equipment paths connected to it one by one. The assessment content includes but is not limited to: whether the line current-carrying capacity meets the requirements, whether there is an overload risk, whether the wiring path is reasonable, and whether sufficient safety margin is reserved.

[0076] According to the stability verification result of the maximum-minimum difference, select those equipment with large fluctuations in operating state and significant impact on system stability as key equipment; based on the equipment connection path information in the circuit topology diagram, further explore the associated historical data of key equipment, such as equipment failure records, renovation and capacity expansion history, power demand change trends, etc., so as to provide more targeted data support for wiring optimization.

[0077] To sum up, through the combined analysis of the circuit topology diagram and the stability verification result of the maximum-minimum difference, not only can key equipment be accurately located, but also a detailed equipment connection path can be constructed, and the safety and rationality of the wiring scheme can be ensured through compliance assessment. At the same time, the in-depth exploration of the associated historical data of key equipment will provide strong data support for optimizing the busbar trunking wiring of the low-voltage power supply and distribution system.

[0078] Furthermore, the method of this application includes:

[0079] Based on the minimum pooling key data and the maximum pooling key data, use a deep learning model for optimization training.

[0080] Integrate the optimized and trained deep learning model with the low-voltage power supply and distribution simulation scenario to construct a low-voltage power supply and distribution busbar trunking wiring configuration module.

[0081] Through the low-voltage power supply and distribution busbar trunking wiring configuration module, optimize the wiring of the distribution busbar trunking.

[0082] Collect the minimum pooling key data, maximum pooling key data, and other relevant operating parameters of the electrical equipment connected to the collection wiring sharing branch point, and perform preprocessing operations such as cleaning to make it suitable for training in a deep learning model; design the deep learning model architecture according to requirements, and convolutional neural networks or other applicable models can be selected; use the minimum pooling key data and maximum pooling key data as input features to train the model to learn and predict key indicators such as power expansion requirements, equipment stability, and wiring optimization; continuously adjust the model parameters through the backpropagation algorithm and optimizer to make the model achieve satisfactory prediction performance on the training set.

[0083] Integrate the trained deep learning model with the low-voltage power supply and distribution simulation scenario to construct a low-voltage power supply and distribution busbar wiring configuration module, and encapsulate the model prediction function as part of the module, so that the model can be called in real time in the simulation scenario for power demand prediction and wiring optimization suggestions; in the low-voltage power supply and distribution simulation scenario, by calling the wiring configuration module and inputting the actual or simulated operating parameters of the electrical equipment, the deep learning model will give the corresponding power expansion demand prediction results; according to the prediction results, generate wiring optimization strategies for the distribution busbar, including but not limited to: wiring path selection, busbar model selection, wiring redundancy design, and branch point merging.

[0084] Apply the generated wiring optimization plan to the simulation scenario for verification, observe the performance under various working conditions, such as line loss, power supply efficiency, safety, etc.; according to the verification results, fine-tune or retrain the deep learning model to further optimize the prediction ability of the wiring configuration module and the wiring optimization strategy; when the simulation verification results show that the optimization plan meets all performance indicators, the obtained optimal distribution busbar wiring plan can be applied to the actual low-voltage power supply and distribution system to achieve efficient, safe, and flexible wiring of the distribution busbar. Using a deep learning model can improve the efficiency of busbar wiring optimization.

[0085] In summary, the beneficial effects of the embodiments of this application are as follows:

[0086] 1. By optimizing the busbar wiring, the line loss can be significantly reduced, and the power supply efficiency of the entire low-voltage power supply and distribution system can be improved.

[0087] 2. By replacing traditional cables with compact busbars, the space required for wiring is reduced, and it is also conducive to long-term operation and maintenance management.

[0088] 3. The optimized wiring plan can better adapt to load changes, help prevent problems such as overheating and short circuits, and improve the stability and safety of the system.

[0089] 4. The adoption of modular and standardized busbar trunking design is conducive to future system upgrades and renovations, significantly enhancing the flexible adaptability of the power distribution system.

[0090] 5. Through three-dimensional simulation and intelligent optimization technology, potential problems can be fully anticipated and solved during the design stage, thereby improving the overall quality of the project and facilitating subsequent maintenance and repair work.

[0091] 6. Due to the adoption of the following methods: extracting multiple device connection relationships of electrical equipment connected to the wiring shared branch points based on the circuit topology diagram; tracking the connection path from the power input end to the distribution busbar trunking based on the multiple device connection relationships of the electrical equipment, establishing multiple device connection paths for the same distribution busbar trunking, where the device connection paths include intermediate node and branch information; traversing the distribution busbar trunking in the circuit topology diagram and using the busbar trunking wiring standard for wiring compliance assessment. Through the combined analysis of the circuit topology diagram and the stability verification result of the maximum and minimum value difference, not only can the key equipment be accurately located, but also detailed device connection paths can be constructed, and the safety and rationality of the wiring scheme can be ensured through compliance assessment. At the same time, the in-depth excavation of the historical data associated with the key equipment will provide strong data support for optimizing the busbar trunking wiring of the low-voltage power supply and distribution system. Embodiment 2

[0092] Based on the same inventive concept as the busbar trunking wiring optimization method for the low-voltage power supply and distribution system in the foregoing embodiment, as Figure 3 shown, the embodiment of the present application provides a busbar trunking wiring optimization system for the low-voltage power supply and distribution system, wherein the system includes:

[0093] A basic design parameter collection module M100, configured to collect basic design parameters of the low-voltage power supply and distribution system, where the basic design parameters include the power of electrical equipment, rated current, and the electrical distance and power supply path between each power distribution point;

[0094] A layout preliminary design module M200, configured to evaluate the current-carrying capacity requirement of the distribution busbar trunking based on the basic design parameters and in combination with the load distribution, and perform a preliminary layout design using a simulation model to obtain a circuit topology diagram, where the circuit topology diagram includes a wiring path and a branch point position;

[0095] A physical characteristic parameter acquisition module M300, configured to acquire physical characteristic parameters of the distribution busbar trunking, where the physical characteristic parameters include rated current, cross-sectional area, insulation level, heat dissipation performance, and allowable bending radius;

[0096] A path optimization module M400, configured to optimize the wiring path of the distribution busbar trunking based on the physical characteristic parameters and in combination with the circuit topology diagram, configure an objective optimization function with the goal of minimizing line loss and maximizing power supply efficiency, and generate a first set of optimized busbar trunking wiring;

[0097] The wiring adjustment module M500 is used to collect the three-dimensional spatial structure of the target power supply and distribution space, build a low-voltage power supply and distribution simulation scenario, import the first optimized wiring set of the distribution busbar into the low-voltage power supply and distribution simulation scenario for wiring adjustment, obtain the second optimized wiring set of the distribution busbar, traverse each branch point in the second optimized wiring set of the distribution busbar for simplifying the sharing of wiring, and determine the optimal wiring scheme of the distribution busbar. Among them, the low-voltage power supply and distribution simulation scenario includes fixed obstacles and reserved maintenance channels.

[0098] Furthermore, the wiring adjustment module M500 is used to execute the following method:

[0099] Traverse each branch point in the second optimized wiring set of the distribution busbar, identify the wiring sharing branch points, where the rated power and rated current of the electrical equipment connected to the wiring sharing branch points are the same;

[0100] Based on the wiring sharing branch points, perform wiring simplification, merge to form a collinear branch structure, and update the second optimized wiring set of the distribution busbar;

[0101] Substitute into the target optimization function, evaluate the line loss and power supply efficiency of the collinear branch structure. If the configuration goal of minimizing the line loss and maximizing the power supply efficiency is met, determine to add the collinear branch structure to the optimal wiring scheme of the distribution busbar, otherwise return and traverse again.

[0102] Furthermore, the wiring adjustment module M500 is also used to execute the following method:

[0103] Sort the wiring sharing branch points according to the electrical connection similarity and the overlapping degree of the wiring paths to determine the priority of the wiring sharing branch points;

[0104] Perform data mining based on the model parameters of the distribution busbar to obtain associated historical data, where the associated historical data includes cases of wiring transformation and capacity expansion;

[0105] Analyze the power expansion requirements of the distribution busbar through the associated historical data, and calibrate the priority of the wiring sharing branch points.

[0106] Furthermore, the wiring adjustment module M500 is also used to execute the following method:

[0107] Based on the electrical equipment connected to the wiring sharing branch points, connect to the low-voltage power supply and distribution system and download the operating parameters of the electrical equipment. The operating parameters of the electrical equipment include load historical data, peak load time, equipment operating status, and equipment start / stop records;

[0108] Locate critical equipment by comparing the operating parameters of the electrical equipment with the associated historical data, and determine the critical equipment associated historical data, which includes multiple equipment operation identifiers;

[0109] Based on the critical equipment associated historical data, predict the power expansion demand, obtain the prediction result, and optimize the power expansion demand through the prediction result.

[0110] Furthermore, the wiring adjustment module M500 is also used to execute the following method:

[0111] Perform a pooling operation based on the associated historical data to determine the minimum pooled critical data and the maximum pooled critical data;

[0112] Verify the operating stability of the operating parameters of the electrical equipment through the minimum pooled critical data and the maximum pooled critical data to obtain the maximum-minimum difference stability verification result;

[0113] Based on the circuit topology diagram, locate critical equipment by comparing with the maximum-minimum difference stability verification result to determine the critical equipment associated historical data.

[0114] Furthermore, the wiring adjustment module M500 is also used to execute the following method:

[0115] Extract multiple equipment connection relationships of the electrical equipment connected to the wiring shared branch points based on the circuit topology diagram;

[0116] Based on the multiple equipment connection relationships of the electrical equipment, trace the connection path from the power input end to the distribution busbar, and establish multiple equipment connection paths for the same distribution busbar. The equipment connection path includes intermediate node and branch information;

[0117] Traverse the distribution busbars in the circuit topology diagram and evaluate the wiring compliance using the distribution busbar wiring standard.

[0118] Furthermore, the wiring adjustment module M500 is also used to execute the following method:

[0119] Use the deep learning model for optimization training based on the minimum pooled critical data and the maximum pooled critical data;

[0120] Integrate the optimized trained deep learning model with the low-voltage power supply and distribution simulation scenario to construct a low-voltage power supply and distribution busbar wiring configuration module;

[0121] Optimize the wiring of the distribution busbar through the low-voltage power supply and distribution busbar wiring configuration module.

[0122] In summary, any step can be stored as computer instructions or programs in an unrestricted computer memory and can be called and recognized by an unrestricted computer processor, without any further limitations here.

[0123] Furthermore, the above technical solutions only represent the preferred technical solutions of the technical solutions of the embodiments of the present application. Some changes that those skilled in the art may make to some parts thereof all reflect the principles of the novel embodiments of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application.

Claims

1. A busbar trunking wiring optimization method for a low-voltage power supply and distribution system, characterized in that, The method includes: Collecting the basic design parameters of the low-voltage power supply and distribution system, where the basic design parameters include the power of electrical equipment, rated current, electrical distance between distribution points, and power supply path; Based on the basic design parameters and combined with the load distribution, evaluating the current-carrying capacity requirement of the distribution busbar, and using a simulation model to conduct a preliminary layout design to obtain a circuit topology diagram, where the circuit topology diagram includes the wiring path and the position of branch points; Obtaining the physical characteristic parameters of the distribution busbar, where the physical characteristic parameters include rated current, cross-sectional area, insulation grade, heat dissipation performance, and allowable bending radius; Based on the physical characteristic parameters and combined with the circuit topology diagram, optimizing the wiring path of the distribution busbar, optimizing the objective function with the configuration goal of minimizing line loss and maximizing power supply efficiency, and generating the first optimized set of distribution busbar wiring; Collecting the three-dimensional spatial structure of the target power supply and distribution space, building a low-voltage power supply and distribution simulation scenario, importing the first optimized set of distribution busbar wiring into the low-voltage power supply and distribution simulation scenario for wiring adjustment to obtain the second optimized set of distribution busbar wiring, and traversing each branch point in the second optimized set of distribution busbar wiring for simplifying the sharing of wiring, and determining the optimal distribution busbar wiring scheme, where the low-voltage power supply and distribution simulation scenario includes fixed obstacles and reserved maintenance channels.

2. The busbar routing optimization method for low-voltage power supply and distribution systems according to claim 1, wherein, Traversing each branch point in the second optimized set of distribution busbar wiring for simplifying the sharing of wiring, and determining the optimal distribution busbar wiring scheme, the method includes: Traversing each branch point in the second optimized set of distribution busbar wiring to identify the wiring shared branch points, where the rated power and rated current of the electrical equipment connected by the wiring shared branch points are the same; Based on the wiring shared branch points, conducting wiring simplification, merging to form a collinear branch structure, and updating the second optimized set of distribution busbar wiring; Substituting into the target optimization function, evaluating the line loss and power supply efficiency of the collinear branch structure, if it meets the configuration goal of minimizing line loss and maximizing power supply efficiency, then determining to add the collinear branch structure to the optimal distribution busbar wiring scheme, otherwise returning and traversing again.

3. The busbar routing optimization method for low-voltage power supply and distribution systems according to claim 2, characterized in that, Based on the wiring shared branch points, conducting wiring simplification, merging to form a collinear branch structure, the method further includes: Sorting the wiring shared branch points according to the electrical connection similarity and wiring path overlap degree to determine the priority of the wiring shared branch points; Conducting data mining based on the model parameters of the distribution busbar to obtain associated historical data, where the associated historical data includes wiring transformation and capacity expansion cases; Analyzing the power expansion demand of the distribution busbar through the associated historical data, and calibrating the priority of the wiring shared branch points.

4. The busbar routing optimization method for low-voltage power supply and distribution systems according to claim 3, characterized in that Based on the associated historical data, conducting associative optimization of the power expansion demand: Based on the electrical equipment connected by the wiring shared branch points, connecting to the low-voltage power supply and distribution system, and downloading the operating parameters of the electrical equipment, where the operating parameters of the electrical equipment include load historical data, peak load time, equipment operating status, and equipment start-stop records; Locate key equipment by using the operating parameters of the electrical equipment and the associated historical data, and determine the key equipment associated historical data, where the key equipment associated historical data includes multiple equipment operation identifiers; Based on the key equipment associated historical data, predict the power expansion demand, obtain the prediction result, and optimize the power expansion demand through the prediction result.

5. The busbar routing optimization method for low-voltage power supply and distribution systems according to claim 4, characterized in that Locate key equipment by using the operating parameters of the electrical equipment and the associated historical data, and determine the key equipment associated historical data. The method includes: Perform a pooling operation based on the associated historical data to determine the minimum pooled key data and the maximum pooled key data; Use the minimum pooled key data and the maximum pooled key data to perform an operating stability check on the operating parameters of the electrical equipment to obtain a maximum-minimum difference stability check result; Based on the circuit topology diagram, locate key equipment by comparing with the maximum-minimum difference stability check result to determine the key equipment associated historical data.

6. The busbar routing optimization method for a low-voltage power supply and distribution system according to claim 5, characterized in that, Based on the circuit topology diagram, locate key equipment by comparing with the maximum-minimum difference stability check result to determine the key equipment associated historical data. The method includes: Based on the circuit topology diagram, extract multiple equipment connection relationships of the electrical equipment connected by the wiring shared branch points; Based on the multiple equipment connection relationships of the electrical equipment, trace the connection path from the power input end to the distribution busbar, and establish multiple equipment connection paths for the same distribution busbar. The equipment connection path includes intermediate node and branch information; Traverse the distribution busbar in the circuit topology diagram and use the distribution busbar wiring standard to evaluate the wiring compliance.

7. The busbar routing optimization method for low-voltage power supply and distribution systems according to claim 5, wherein The method includes: Based on the minimum pooled key data and the maximum pooled key data, use a deep learning model for optimization training; Integrate the optimized trained deep learning model with the low-voltage power supply and distribution simulation scenario to construct a low-voltage power supply and distribution busbar wiring configuration module; Through the low-voltage power supply and distribution busbar wiring configuration module, optimize the wiring of the distribution busbar.

8. A busbar trunking wiring optimization system for a low-voltage power supply and distribution system, characterized in that, For implementing the busbar wiring optimization method for a low-voltage power supply and distribution system according to any one of claims 1-7, it includes: A basic design parameter collection module for collecting the basic design parameters of the low-voltage power supply and distribution system. The basic design parameters include the power of the electrical equipment, the rated current, the electrical distance between each distribution point, and the power supply path; A layout preliminary design module for evaluating the current-carrying capacity requirement of the distribution busbar based on the basic design parameters and in combination with the load distribution, and performing a preliminary layout design by using a simulation model to obtain a circuit topology diagram, where the circuit topology diagram includes the wiring path and the branch point position; A physical characteristic parameter acquisition module for acquiring the physical characteristic parameters of the distribution busbar. The physical characteristic parameters include the rated current, the cross-sectional area, the insulation grade, the heat dissipation performance, and the allowable bending radius; A path optimization module for optimizing the wiring path of the distribution busbar based on the physical characteristic parameters and in combination with the circuit topology diagram, optimizing the objective function with the goal of minimizing line loss and maximizing power supply efficiency, and generating a first distribution busbar wiring optimization set; The wiring adjustment module is used to collect the three-dimensional spatial structure of the target power supply and distribution space, build a low-voltage power supply and distribution simulation scenario, import the first distribution busbar wiring optimization set into the low-voltage power supply and distribution simulation scenario for wiring adjustment to obtain a second distribution busbar wiring optimization set, traverse each branch point in the second distribution busbar wiring optimization set for simplification of shared wiring, and determine the optimal distribution busbar wiring scheme. Among them, the low-voltage power supply and distribution simulation scenario includes fixed obstacles and reserved maintenance channels.

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