Power distribution network project design quality decision-making method and device based on data analysis
The method and device enhance distribution network project design efficiency by analyzing data to update models and calculate quality parameters, addressing inefficiencies and resource challenges in existing design processes.
Patent Information
- Application Number
- CN202411407407.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-10
- Publication Date
- 2024-12-27
AI Technical Summary
The design of distribution network projects in electric power grids faces challenges such as high time consumption, inefficiency, and difficulty in organizing design resources, particularly in formulating and verifying key indicators, which complicates the construction and transformation of distribution networks.
A method and device for distribution network project design quality decision-making based on data analysis, involving updating a preset architecture model with project design plans to create an updated network model, calculating distribution quality parameters like voltage deviation and frequency deviation, and making design quality decisions based on these parameters.
This approach provides efficient and reasonable suggestions for designers, improving the design efficiency and quality of distribution network projects by characterizing node operating conditions and facilitating optimal scheme selection.
Smart Images
Figure CN119204829A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power grids, and in particular to a method and device for making decisions on the design quality of a distribution network project based on data analysis. Background Art
[0002] In order to cope with the new situation of power development, accelerate the construction and transformation of distribution networks, promote transformation and upgrading, and serve economic and social development, the power grid needs to comprehensively promote the construction of distribution network projects, scientifically and reasonably control the investment in distribution network projects, effectively improve the quality and reliability of power supply to users, and build an intelligent, efficient, reliable and green distribution network.
[0003] During the construction of distribution network projects, the project volume is large, the cycle is short, the time is tight, the tasks are heavy, and the design resources are difficult to organize, which has caused great pressure and challenges to the distribution network design work. In particular, in the process of formulating and testing and verifying key indicators, a lot of time is needed for design experts and review experts, which makes the design of distribution engineering projects difficult and inefficient. Summary of the invention
[0004] The present invention provides a distribution network project design quality decision-making method and device based on data analysis, which can solve the problems of difficulty and low efficiency in distribution engineering project design, provide reasonable suggestions for designers, and improve the efficiency of distribution engineering project design.
[0005] In a first aspect, the present invention provides a distribution network project design quality decision method based on data analysis, the method comprising: obtaining a project design plan for the distribution network; the project design plan includes the type and equipment parameters of the equipment to be added in the distribution network; based on the project design plan, updating a preset architecture model of the distribution network to obtain an updated distribution network model; based on the updated distribution network model, calculating distribution quality parameters of the distribution network; the distribution quality parameters include voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation; based on the distribution quality parameters, making a distribution network project design quality decision.
[0006] In one possible implementation, based on the project design plan, the preset architecture model of the distribution network is updated to obtain an updated distribution network model, including: determining the node position of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added based on the project design plan; based on the node position of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added, adding the equipment to be added at the node position in the preset architecture model to obtain an updated distribution network model.
[0007] In a possible implementation, based on the project design plan, the preset architecture model of the distribution network is updated. Before obtaining the updated distribution network model, it also includes: obtaining the connection relationship between each node of the distribution network, and the capacity of the power generation equipment and load equipment of each node; based on the connection relationship between each node of the distribution network, and the capacity of the power generation equipment and load equipment of each node, constructing the preset architecture model of the distribution network.
[0008] In one possible implementation, based on an updated distribution network model, the distribution quality parameters of the distribution network are calculated, including: predicting the distributed energy in the updated distribution network model to obtain the predicted power generation; predicting the load power of each node in the updated distribution network model to obtain the predicted load power; based on the predicted power generation power and the predicted load power, and the updated distribution network model, obtaining the voltage data and frequency data of each node within a set time period; based on the voltage data and frequency data of each node within the set time period, determining the distribution quality parameters of the distribution network.
[0009] In a possible implementation, based on the voltage data and frequency data of each node in a set time period, the distribution quality parameters of the distribution network are determined, including: traversing the voltage data of each node in the set time period, determining the number of deviation moments when voltage deviation occurs at each node at each moment in the set time period, and the voltage deviation at each moment; calculating the average value of the voltage deviation at each moment in the set time period to obtain the average voltage deviation; performing weighted summation based on the number of deviation moments and the average voltage deviation to determine the voltage deviation of each node; traversing the voltage data of each node in the set time period, determining the number of moments when three-phase imbalance exists at each moment in the set time period, and the voltage difference when three-phase imbalance exists; calculating the average value of the voltage difference when three-phase imbalance exists voltage difference; based on the number of moments when three-phase imbalance exists and the average voltage difference, weighted summation is performed to determine the voltage imbalance rate of each node; the voltage data of each node in the set time period is traversed to obtain the number of overvoltage moments when each node has overvoltage at each moment in the set time period; based on the total number of moments in the set time period and the number of overvoltage moments, the overvoltage frequency of each node is calculated; the frequency data of each node in the set time period is traversed to determine the number of moments when frequency deviation occurs at each moment in the set time period for each node, as well as the frequency deviation amount at each moment; the average value of the frequency deviation amount at each moment in the set time period is calculated to obtain the average frequency deviation amount; based on the number of deviation moments and the average frequency deviation amount, weighted summation is performed to determine the frequency deviation of each node.
[0010] In one possible implementation, a quality decision on the design of a distribution network project is made based on the distribution quality parameters, including: if the voltage deviation is less than or equal to the set voltage deviation, and the voltage imbalance rate is less than or equal to the set voltage imbalance rate, and the overvoltage frequency is less than or equal to the set overvoltage frequency, and the frequency deviation is less than or equal to the set frequency deviation, then the quality decision result is determined to be passed; otherwise, the quality decision result is determined to be failed.
[0011] In a possible implementation, after making a design quality decision for a distribution network project based on power distribution quality parameters, the method further includes: extracting the type, node location, and equipment parameters of the equipment to be added in the project design plan; determining the installation time of each equipment to be added based on the type, node location, and equipment parameters of the equipment to be added, as well as a preset engineering efficiency; the preset engineering efficiency is used to characterize the installation progress of the equipment to be added within a unit time; determining the implementation period of the project design plan based on the installation time of each equipment to be added, as well as a preset engineering configuration; the engineering configuration is used to characterize the personnel and machinery configured for the project design plan.
[0012] In a possible implementation, after making a design quality decision for a distribution network project based on distribution quality parameters, the method further includes: obtaining distribution quality parameters of multiple project design schemes; determining a distribution quality coefficient of each project design scheme based on the distribution quality parameters of each project design scheme, wherein the distribution quality coefficient is used to characterize the power quality regulation capability of the node; and determining the optimal project design scheme among multiple project design schemes based on the distribution quality coefficient.
[0013] In a possible implementation, after making a design quality decision for a distribution network project based on distribution quality parameters, the method further includes: obtaining the power generation and load power of each node of the distribution network during the peak power consumption period and the power generation and load power of each node during the valley power consumption period in the historical period; obtaining the voltage data and frequency data of each node during the peak power consumption period based on the power generation and load power of each node during the peak power consumption period and the updated distribution network model; determining the distribution quality parameters of the distribution network during the peak power consumption period based on the voltage data and frequency data of each node during the peak power consumption period; obtaining the voltage data and frequency data of each node during the valley power consumption period based on the power generation and load power of each node during the valley power consumption period and the updated distribution network model; determining the distribution quality parameters of the distribution network during the valley power consumption period based on the voltage data and frequency data of each node during the valley power consumption period; verifying the project design scheme based on the distribution quality parameters during the peak power consumption period and the distribution quality parameters during the valley power consumption period, and determining the verification results, which include verification pass or verification fail.
[0014] In a second aspect, an embodiment of the present invention provides a distribution network project design quality decision-making device based on data analysis, the device comprising: a communication module, used to obtain a project design plan of the distribution network; the project design plan includes the type and equipment parameters of the equipment to be added in the distribution network; a model update module, used to update the preset architecture model of the distribution network based on the project design plan to obtain an updated distribution network model; a quality decision module, used to calculate the distribution quality parameters of the distribution network based on the updated distribution network model; the distribution quality parameters include voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation; based on the distribution quality parameters, a distribution network project design quality decision is made.
[0015] In one possible implementation, the model update module is specifically used to determine the node position of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added based on the project design plan; based on the node position of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added, the equipment to be added is added to the node position in the preset architecture model to obtain an updated distribution network model.
[0016] In one possible implementation, the communication module is specifically used to obtain the connection relationship between each node in the distribution network and the capacity of the power generation equipment and load equipment of each node; the model update module is specifically used to construct a preset architecture model of the distribution network based on the connection relationship between each node in the distribution network and the capacity of the power generation equipment and load equipment of each node.
[0017] In one possible implementation, the quality decision module is specifically used to predict the distributed energy in the updated distribution network model to obtain the predicted power generation; predict the load power of each node in the updated distribution network model to obtain the predicted load power; based on the predicted power generation power and the predicted load power, as well as the updated distribution network model, obtain the voltage data and frequency data of each node within a set time period; based on the voltage data and frequency data of each node within the set time period, determine the distribution quality parameters of the distribution network.
[0018] In a possible implementation, the quality decision module is specifically used to determine the distribution quality parameters of the distribution network based on the voltage data and frequency data of each node within a set time period, including: traversing the voltage data of each node within the set time period, determining the number of deviation moments when voltage deviation occurs at each node at each moment within the set time period, and the voltage deviation at each moment; calculating the average value of the voltage deviation at each moment within the set time period to obtain the average voltage deviation; performing weighted summation based on the number of deviation moments and the average voltage deviation to determine the voltage deviation of each node; traversing the voltage data of each node within the set time period, determining the number of moments when three-phase imbalance exists at each moment within the set time period, and the voltage difference when three-phase imbalance exists; calculating the voltage difference when three-phase imbalance exists The invention discloses a method for determining the average voltage difference of the difference between the two phases; performing weighted summation based on the number of moments when three-phase imbalance exists and the average voltage difference to determine the voltage imbalance rate of each node; traversing the voltage data of each node in a set time period to obtain the number of overvoltage moments when each node has overvoltage at each moment in the set time period; calculating the overvoltage frequency of each node based on the total number of moments in the set time period and the number of overvoltage moments; traversing the frequency data of each node in a set time period to determine the number of moments when frequency deviation occurs at each moment in the set time period and the frequency deviation amount at each moment; calculating the average value of the frequency deviation amount at each moment in the set time period to obtain the average frequency deviation amount; performing weighted summation based on the number of deviation moments and the average frequency deviation amount to determine the frequency deviation of each node.
[0019] In one possible implementation, the quality decision module is specifically used to determine that the quality decision result is passed if the voltage deviation is less than or equal to the set voltage deviation, and the voltage imbalance rate is less than or equal to the set voltage imbalance rate, and the overvoltage frequency is less than or equal to the set overvoltage frequency, and the frequency deviation is less than or equal to the set frequency deviation; otherwise, the quality decision result is determined to be failed.
[0020] In a possible implementation, the quality decision module is also used to extract the type, node location and equipment parameters of the equipment to be added in the project design plan; based on the type, node location and equipment parameters of the equipment to be added, and the preset engineering efficiency, determine the installation time of each equipment to be added; the preset engineering efficiency is used to characterize the installation progress of the equipment to be added within a unit time; based on the installation time of each equipment to be added, and the preset engineering configuration, determine the implementation period of the project design plan; the engineering configuration is used to characterize the personnel and machinery conditions configured for the project design plan.
[0021] In a possible implementation, the communication module is also used to obtain distribution quality parameters of multiple project design schemes; the quality decision module is also used to determine the distribution quality coefficient of each project design scheme based on the distribution quality parameters of each project design scheme, and the distribution quality coefficient is used to characterize the power quality regulation capability of the node; based on the distribution quality coefficient, determine the optimal project design scheme among the multiple project design schemes.
[0022] In a possible implementation, the communication module is also used to obtain the power generation and load power of each node of the distribution network during the peak power consumption period in the historical period, and the power generation and load power of each node during the low power consumption period; the quality decision module is also used to obtain the voltage data and frequency data of each node during the peak power consumption period based on the power generation and load power of each node during the peak power consumption period and the updated distribution network model; determine the distribution quality parameters of the distribution network during the peak power consumption period based on the voltage data and frequency data of each node during the peak power consumption period; obtain the voltage data and frequency data of each node during the low power consumption period based on the power generation and load power of each node during the low power consumption period and the updated distribution network model; determine the distribution quality parameters of the distribution network during the low power consumption period based on the voltage data and frequency data of each node during the low power consumption period; verify the project design plan based on the distribution quality parameters during the peak power consumption period and the distribution quality parameters during the low power consumption period, and determine the verification result, and the verification result includes verification pass or verification fail.
[0023] The present invention provides a distribution network project design quality decision method and device based on data analysis. After obtaining the project design plan, the present invention updates the preset architecture model of the distribution network to obtain an updated distribution network model; and based on the updated distribution network model, calculates the distribution network voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation and other distribution quality parameters; then, based on the distribution quality parameters, makes a distribution network project design quality decision. Since the distribution quality parameters such as voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation can characterize the operating conditions of each node after the distribution network adds equipment, reasonable suggestions are provided to designers, solving the problems of difficulty and low efficiency in the design of distribution engineering projects, and improving the efficiency of the design of distribution engineering projects. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0025] Figure 1It is a flow chart of a distribution network project design quality decision method based on data analysis provided by an embodiment of the present invention;
[0026] Figure 2 It is a structural schematic diagram of a distribution network project design quality decision-making device based on data analysis provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0027] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.
[0028] In the description of the present invention, unless otherwise specified, " / " means "or", for example, A / B can mean A or B. "And / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, "at least one" and "plurality" refer to two or more. The words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not limit them to be different.
[0029] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.
[0030] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but may optionally include other steps or modules that are not listed, or may optionally include other steps or modules that are inherent to these processes, methods, products or devices.
[0031] In order to make the purpose, technical solutions and advantages of the present invention more clear, the following will be described through specific embodiments in conjunction with the accompanying drawings of the present invention.
[0032] As described in the background art, there are technical problems in the current design process of power distribution engineering projects that consume a lot of time of design experts and review experts, resulting in difficulty in designing power distribution engineering projects and low efficiency.
[0033] To solve the above technical problems, Figure 1 As shown, an embodiment of the present invention provides a distribution network project design quality decision method based on data analysis. The method includes steps S101-S104.
[0034] S101. Obtain a project design plan for a distribution network.
[0035] In the embodiment of the present application, the project design plan includes the type and equipment parameters of the equipment to be added in the distribution network.
[0036] S102: Based on the project design plan, the preset architecture model of the distribution network is updated to obtain an updated distribution network model.
[0037] As a possible implementation manner, the embodiment of the present invention may determine an updated distribution network model based on steps S1021 - S1022 .
[0038] S1021. Based on the project design plan, determine the node location of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added.
[0039] S1022. Based on the node position of the device to be added, the type of the device to be added, and the capacity of the device to be added, add the device to be added at the node position in the preset architecture model to obtain an updated distribution network model.
[0040] S103. Calculate power distribution quality parameters of the distribution network based on the updated distribution network model.
[0041] In the embodiment of the present application, the power distribution quality parameters include voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation.
[0042] As a possible implementation manner, the embodiment of the present invention may determine the power distribution quality parameters of the power distribution network based on steps S1031 - S1034 .
[0043] S1031. Predict the distributed energy in the updated distribution network model to obtain predicted power generation.
[0044] S1032. Predict the load power of each node in the updated distribution network model to obtain predicted load power.
[0045] S1033. Based on the predicted generated power and predicted load power, and the updated distribution network model, obtain the voltage data and frequency data of each node within a set time period.
[0046] S1034. Determine power distribution quality parameters of the distribution network based on voltage data and frequency data of each node within a set time period.
[0047] Exemplarily, the embodiment of the present invention may determine the voltage deviation in the power distribution quality parameter based on steps A1-A3.
[0048] A1. Traverse the voltage data of each node in a set time period, determine the number of deviation moments when voltage deviation occurs at each moment in the set time period for each node, and the voltage deviation amount at each moment.
[0049] A2. Calculate the average value of the voltage deviation at each time in the set time period to obtain the average voltage deviation.
[0050] A3. Based on the number of deviation moments and the average voltage deviation, a weighted sum is performed to determine the voltage deviation of each node.
[0051] Exemplarily, the embodiment of the present invention may determine the voltage imbalance rate in the power distribution quality parameter based on steps B1-B3.
[0052] B1. Traverse the voltage data of each node in a set time period, determine the number of moments when three-phase imbalance exists in each moment in the set time period for each node, and the voltage difference when three-phase imbalance exists.
[0053] B2. Calculate the average voltage difference when there is three-phase imbalance.
[0054] B3. Based on the number of moments when three-phase imbalance exists and the average voltage difference, a weighted sum is performed to determine the voltage imbalance rate of each node;
[0055] Exemplarily, the embodiment of the present invention may determine the overvoltage frequency in the power distribution quality parameters based on steps C1-C2.
[0056] C1. Traverse the voltage data of each node in a set time period to obtain the number of overvoltage moments at which each node has overvoltage at each moment in the set time period.
[0057] C2. Calculate the overvoltage frequency of each node based on the total number of moments in the set time period and the number of overvoltage moments.
[0058] Exemplarily, the embodiment of the present invention may determine the frequency deviation in the power distribution quality parameter based on steps D1-D3.
[0059] D1. Traverse the frequency data of each node in a set period of time, determine the number of moments when frequency deviation occurs at each moment in the set period of time for each node, and the frequency deviation amount at each moment.
[0060] D2. Calculate the average value of the frequency deviation at each moment in the set time period to obtain the average frequency deviation.
[0061] D3. Based on the number of deviation moments and the average frequency deviation, a weighted sum is performed to determine the frequency deviation of each node.
[0062] S104. Based on the power distribution quality parameters, make a quality decision on the design of the distribution network project.
[0063] As a possible implementation method, if the voltage deviation is less than or equal to the set voltage deviation, and the voltage imbalance rate is less than or equal to the set voltage imbalance rate, and the overvoltage frequency is less than or equal to the set overvoltage frequency, and the frequency deviation is less than or equal to the set frequency deviation, then the embodiment of the present invention can determine that the quality decision result is passed; otherwise, the quality decision result is determined to be failed.
[0064] The present invention provides a distribution network project design quality decision method based on data analysis. After obtaining the project design plan, the preset architecture model of the distribution network is updated to obtain an updated distribution network model; and based on the updated distribution network model, the distribution network voltage deviation, voltage imbalance rate, overvoltage frequency, frequency deviation and other distribution quality parameters are calculated; and then the distribution network project design quality decision is made based on the distribution quality parameters. Since the distribution quality parameters such as voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation can characterize the operating conditions of each node after the distribution network adds equipment, reasonable suggestions are provided to designers, the problems of difficulty and low efficiency in the design of distribution engineering projects are solved, and the efficiency of the design of distribution engineering projects is improved.
[0065] Optionally, the distribution network project design quality decision-making method based on data analysis provided in an embodiment of the present invention further includes steps S201-S202 before step S102.
[0066] S201. Obtain the connection relationship between the nodes of the distribution network and the capacity of the power generation equipment and load equipment of each node.
[0067] S202: Based on the connection relationship between the nodes of the distribution network and the capacity of the power generation equipment and load equipment of each node, a preset architecture model of the distribution network is constructed.
[0068] In this way, the embodiment of the present invention can construct a preset architecture model of the distribution network through the connection relationship between each node and the capacity of the power generation equipment and load equipment of each node, thereby improving the guarantee for the quality decision-making of the distribution network project design.
[0069] Optionally, the distribution network project design quality decision method based on data analysis provided in an embodiment of the present invention further includes steps S301-S303 after step S104.
[0070] S301, extracting the type, node location and equipment parameters of the equipment to be added in the project design plan;
[0071] S302: Determine the installation time of each device to be added based on the type, node location and device parameters of the device to be added, as well as the preset engineering efficiency.
[0072] In some embodiments, the preset engineering efficiency is used to characterize the installation progress of the equipment to be added within a unit time.
[0073] S303: Determine the implementation period of the project design plan based on the installation time of each device to be added and the preset engineering configuration.
[0074] In some embodiments, the engineering configuration status is used to characterize the personnel and machinery status configured for the project design solution.
[0075] In this way, the embodiment of the present invention can calculate the construction progress and construction period of the project design solution by presetting the project efficiency and project configuration, thereby improving the convenience for project review.
[0076] Optionally, the distribution network project design quality decision method based on data analysis provided in an embodiment of the present invention further includes steps S401-S403 after step S104.
[0077] S401. Obtain power distribution quality parameters of multiple project design solutions.
[0078] S402: Determine a power distribution quality coefficient of each project design solution based on the power distribution quality parameters of each project design solution.
[0079] In some embodiments, the power distribution quality coefficient is used to characterize the power quality regulation capability of the node.
[0080] S403. Determine the optimal project design scheme among multiple project design schemes based on the power distribution quality coefficient.
[0081] In this way, the embodiment of the present invention can compare multiple project design schemes through power distribution quality parameters, determine the optimal project design scheme, and facilitate the design quality decision of the distribution network project.
[0082] Optionally, the distribution network project design quality decision method based on data analysis provided in an embodiment of the present invention further includes steps S501-S506 after step S104.
[0083] S501. Obtain the power generation power and load power of each node in the distribution network during the peak power consumption period and the power generation power and load power of each node during the valley power consumption period in the historical period.
[0084] S502: Based on the power generation power and load power of each node during the peak power consumption period and the updated distribution network model, the voltage data and frequency data of each node during the peak power consumption period are obtained.
[0085] S503: Determine power distribution quality parameters of the distribution network during the peak power consumption period based on the voltage data and frequency data of each node during the peak power consumption period.
[0086] S504: Based on the power generation power and load power of each node during the power consumption valley period and the updated distribution network model, the voltage data and frequency data of each node during the power consumption valley period are obtained.
[0087] S505: Determine the power distribution quality parameters of the distribution network during the power consumption valley period based on the voltage data and frequency data of each node during the power consumption valley period.
[0088] S506. Based on the power distribution quality parameters during the peak power consumption period and the power distribution quality parameters during the trough power consumption period, the project design plan is verified to determine the verification result.
[0089] In some embodiments, the verification result includes verification passed or verification failed.
[0090] In this way, the embodiment of the present invention can verify the project design plan through the node data of the peak power consumption period and the low power consumption period, and improve the accuracy of the distribution network project design quality decision.
[0091] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.
[0092] The following is an embodiment of the device of the present invention. For details not described in detail, reference may be made to the corresponding method embodiments described above.
[0093] Figure 2 The schematic diagram of the structure of a quality decision device for distribution network project design based on data analysis provided by an embodiment of the present invention is shown. The quality decision device 600 includes a communication module 601 , a model updating module 602 and a quality decision module 603 .
[0094] The communication module 601 is used to obtain a project design plan for the distribution network; the project design plan includes the type and equipment parameters of the equipment to be added in the distribution network.
[0095] The model updating module 602 is used to update the preset architecture model of the distribution network based on the project design plan to obtain an updated distribution network model.
[0096] The quality decision module 603 is used to calculate the distribution quality parameters of the distribution network based on the updated distribution network model; the distribution quality parameters include voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation; based on the distribution quality parameters, the quality decision of the distribution network project design is made.
[0097] In one possible implementation, the model update module 602 is specifically used to determine the node position of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added based on the project design plan; based on the node position of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added, the equipment to be added is added at the node position in the preset architecture model to obtain an updated distribution network model.
[0098] In one possible implementation, the communication module 601 is specifically used to obtain the connection relationship between the nodes of the distribution network and the capacity of the power generation equipment and load equipment of each node; the model update module 602 is specifically used to construct a preset architecture model of the distribution network based on the connection relationship between the nodes of the distribution network and the capacity of the power generation equipment and load equipment of each node.
[0099] In one possible implementation, the quality decision module 603 is specifically used to predict the distributed energy in the updated distribution network model to obtain the predicted power generation; predict the load power of each node in the updated distribution network model to obtain the predicted load power; based on the predicted power generation power and the predicted load power, as well as the updated distribution network model, obtain the voltage data and frequency data of each node within a set time period; based on the voltage data and frequency data of each node within the set time period, determine the distribution quality parameters of the distribution network.
[0100] In a possible implementation, the quality decision module 603 is specifically used to determine the distribution quality parameters of the distribution network based on the voltage data and frequency data of each node within a set time period, including: traversing the voltage data of each node within the set time period, determining the number of deviation moments when voltage deviation occurs at each node at each moment within the set time period, and the voltage deviation at each moment; calculating the average value of the voltage deviation at each moment within the set time period to obtain the average voltage deviation; performing weighted summation based on the number of deviation moments and the average voltage deviation to determine the voltage deviation of each node; traversing the voltage data of each node within the set time period, determining the number of moments when three-phase imbalance exists at each moment within the set time period, and the voltage difference when three-phase imbalance exists; calculating the voltage difference when three-phase imbalance exists The average voltage difference of the voltage difference; based on the number of moments when three-phase imbalance exists and the average voltage difference, weighted summation is performed to determine the voltage imbalance rate of each node; the voltage data of each node in the set time period is traversed to obtain the number of overvoltage moments when each node has overvoltage at each moment in the set time period; based on the total number of moments in the set time period and the number of overvoltage moments, the overvoltage frequency of each node is calculated; the frequency data of each node in the set time period is traversed to determine the number of moments when frequency deviation occurs at each moment in the set time period for each node, and the frequency deviation amount at each moment; the average value of the frequency deviation amount at each moment in the set time period is calculated to obtain the average frequency deviation amount; based on the number of deviation moments and the average frequency deviation amount, weighted summation is performed to determine the frequency deviation of each node.
[0101] In one possible implementation, the quality decision module 603 is specifically used to determine that the quality decision result is passed if the voltage deviation is less than or equal to the set voltage deviation, and the voltage imbalance rate is less than or equal to the set voltage imbalance rate, and the overvoltage frequency is less than or equal to the set overvoltage frequency, and the frequency deviation is less than or equal to the set frequency deviation; otherwise, the quality decision result is determined to be failed.
[0102] In a possible implementation, the quality decision module 603 is also used to extract the type, node location and equipment parameters of the equipment to be added in the project design plan; based on the type, node location and equipment parameters of the equipment to be added, and the preset engineering efficiency, determine the installation time of each equipment to be added; the preset engineering efficiency is used to characterize the installation progress of the equipment to be added within a unit time; based on the installation time of each equipment to be added, and the preset engineering configuration, determine the implementation period of the project design plan; the engineering configuration is used to characterize the personnel and machinery conditions configured for the project design plan.
[0103] In a possible implementation, the communication module 601 is also used to obtain distribution quality parameters of multiple project design schemes; the quality decision module 603 is also used to determine the distribution quality coefficient of each project design scheme based on the distribution quality parameters of each project design scheme, and the distribution quality coefficient is used to characterize the power quality regulation capability of the node; based on the distribution quality coefficient, determine the optimal project design scheme among the multiple project design schemes.
[0104] In a possible implementation, the communication module 601 is also used to obtain the power generation and load power of each node of the distribution network during the peak power consumption period, and the power generation and load power of each node during the valley power consumption period in the historical period; the quality decision module 603 is also used to obtain the voltage data and frequency data of each node during the peak power consumption period based on the power generation and load power of each node during the peak power consumption period and the updated distribution network model; determine the distribution quality parameters of the distribution network during the peak power consumption period based on the voltage data and frequency data of each node during the peak power consumption period; obtain the voltage data and frequency data of each node during the valley power consumption period based on the power generation and load power of each node during the valley power consumption period and the updated distribution network model; determine the distribution quality parameters of the distribution network during the valley power consumption period based on the voltage data and frequency data of each node during the valley power consumption period; verify the project design plan based on the distribution quality parameters during the peak power consumption period and the distribution quality parameters during the valley power consumption period, and determine the verification result, which includes verification pass or verification fail.
[0105] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.
Claims
1. A distribution network project design quality decision method based on data analysis, characterized in that: include: Obtaining a project design plan for a distribution network; the project design plan includes the type and equipment parameters of equipment to be added to the distribution network; Based on the project design plan, the preset architecture model of the distribution network is updated to obtain an updated distribution network model; Based on the updated distribution network model, calculating the distribution quality parameters of the distribution network; the distribution quality parameters include voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation; Based on the power distribution quality parameters, a design quality decision for the distribution network project is made.
2. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: The method of updating the preset architecture model of the distribution network based on the project design scheme to obtain an updated distribution network model includes: Based on the project design plan, determine the node location of the equipment to be added, the type of equipment to be added, and the capacity of the equipment to be added; Based on the node position of the device to be added, the type of the device to be added and the capacity of the device to be added, the device to be added is added to the node position in the preset architecture model to obtain the updated distribution network model.
3. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: Before the preset architecture model of the distribution network is updated based on the project design scheme to obtain an updated distribution network model, the method further includes: Obtaining the connection relationship between the nodes of the distribution network and the capacity of the power generation equipment and load equipment of each node; Based on the connection relationship between the nodes of the distribution network and the capacity of the power generation equipment and load equipment of each node, a preset architecture model of the distribution network is constructed.
4. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: The calculating the power distribution quality parameter of the distribution network based on the updated power distribution network model comprises: Predicting the distributed energy in the updated distribution network model to obtain predicted power generation; Predicting the load power of each node in the updated distribution network model to obtain predicted load power; Based on the predicted power generation and load power, and the updated distribution network model, obtaining voltage data and frequency data of each node within a set time period; Based on the voltage data and frequency data of each node within a set time period, a power distribution quality parameter of the power distribution network is determined.
5. The distribution network project design quality decision-making method based on data analysis according to claim 4 is characterized in that: The determining of the power distribution quality parameters of the power distribution network based on the voltage data and frequency data of each node within a set time period includes: Traversing the voltage data of each node in a set time period, determining the number of deviation moments when voltage deviation occurs at each moment in the set time period for each node, and the voltage deviation amount at each moment; Calculate the average value of the voltage deviation at each time in the set time period to obtain the average voltage deviation; Based on the number of deviation moments and the average voltage deviation, a weighted sum is performed to determine the voltage deviation of each node; Traversing the voltage data of each node in a set time period, determining the number of moments when three-phase imbalance exists at each moment in the set time period for each node, and the voltage difference when three-phase imbalance exists; Calculate the average voltage difference of the voltage differences when there is three-phase imbalance; Based on the number of moments when three-phase imbalance exists and the average voltage difference, a weighted sum is performed to determine the voltage imbalance rate of each node; Traversing the voltage data of each node in a set time period, obtaining the number of overvoltage moments at which each node has overvoltage at each moment in the set time period; Calculate the overvoltage frequency of each node based on the total number of moments in the set time period and the number of overvoltage moments; Traversing the frequency data of each node in a set time period, determining the number of moments when frequency deviation occurs at each moment in the set time period for each node, and the frequency deviation amount at each moment; Calculate the average value of the frequency deviation at each moment in the set time period to obtain the average frequency deviation; Based on the number of deviation moments and the average frequency deviation, a weighted sum is performed to determine the frequency deviation of each node.
6. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: The making of a distribution network project design quality decision based on the distribution quality parameter includes: If the voltage deviation is less than or equal to the set voltage deviation, and the voltage unbalance rate is less than or equal to the set voltage unbalance rate, and the overvoltage frequency is less than or equal to the set overvoltage frequency, and the frequency deviation is less than or equal to the set frequency deviation, then the quality decision result is determined to be passed; Otherwise, the quality decision result is determined to be failed.
7. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: After making a design quality decision of the distribution network project based on the distribution quality parameters, the method further includes: Extract the type, node location and equipment parameters of the equipment to be added in the project design plan; Determine the installation time of each device to be added based on the type, node location and device parameters of the device to be added, and the preset engineering efficiency; the preset engineering efficiency is used to characterize the installation progress of the device to be added within a unit time; The implementation period of the project design scheme is determined based on the installation time of each piece of equipment to be added and the preset engineering configuration situation; the engineering configuration situation is used to characterize the personnel and machinery conditions configured for the project design scheme.
8. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: After making a design quality decision of the distribution network project based on the distribution quality parameters, the method further includes: Obtain power distribution quality parameters for multiple project design solutions; Based on the power distribution quality parameters of each project design solution, determine the power distribution quality coefficient of each project design solution, wherein the power distribution quality coefficient is used to characterize the power quality regulation capability of the node; Based on the power distribution quality coefficient, an optimal project design scheme among the multiple project design schemes is determined.
9. The distribution network project design quality decision-making method based on data analysis according to claim 1 is characterized in that: After making a design quality decision of the distribution network project based on the distribution quality parameters, the method further includes: Obtain the power generation power and load power of each node of the distribution network during the peak power consumption period, and the power generation power and load power of each node during the valley power consumption period in the historical period; Based on the power generation power and load power of each node during the peak power consumption period and the updated distribution network model, voltage data and frequency data of each node during the peak power consumption period are obtained; Determine the power distribution quality parameters of the power distribution network during the power consumption peak period based on the voltage data and frequency data of each node during the power consumption peak period; Based on the power generation power and load power of each node during the power consumption valley period and the updated distribution network model, voltage data and frequency data of each node during the power consumption valley period are obtained; Determine the power distribution quality parameters of the power distribution network during the power consumption valley period based on the voltage data and frequency data of each node during the power consumption valley period; Based on the power distribution quality parameters during the peak power consumption period and the power distribution quality parameters during the trough power consumption period, the project design plan is verified to determine a verification result, wherein the verification result includes verification pass or verification fail.
10. A distribution network project design quality decision-making device based on data analysis, characterized in that: include: A communication module, used to obtain a project design plan for a distribution network; the project design plan includes the type and equipment parameters of equipment to be added to the distribution network; A model updating module, used to update the preset architecture model of the distribution network based on the project design scheme to obtain an updated distribution network model; The quality decision module is used to calculate the distribution quality parameters of the distribution network based on the updated distribution network model; the distribution quality parameters include voltage deviation, voltage imbalance rate, overvoltage frequency and frequency deviation; based on the distribution quality parameters, make a quality decision on the distribution network project design.