Power transformation engineering power grid construction basic model data analysis method

Abstract

The invention belongs to the technical field of power systems, and particularly relates to a power transformation project power grid construction basic model data analysis method, which comprises the following steps of: acquiring multi-source heterogeneous basic data of a power transformation project and processing the data; key entities and attributes are extracted from the unstructured data; mapping the extracted entities and attributes to a standardized data model, and constructing a basic model of power transformation engineering power grid construction; generating a device-structure-topology incidence matrix, and fusing data of a device layer, a structure layer and a topology layer; analyzing the constructed model to obtain detailed information of the power grid model; according to the power transformation engineering power grid construction basic model data analysis method, through the steps of data preprocessing, feature extraction, model construction, data analysis, result output and the like, basic model data in power transformation engineering power grid construction can be efficiently and accurately analyzed, the data processing efficiency and quality are improved, and the data analysis accuracy is improved. And reliable data support is provided for power grid construction.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method for analyzing data of a basic model of a power grid construction project. Background Art

[0002] With the development of energy strategies, economic restructuring, and the deepening of clean, low-carbon concepts across society, the power industry is undergoing continuous strategic adjustments. Market-driven economic development is driving electricity demand, facing new situations and demands. Currently, the progress control of power project construction is influenced by external factors such as regional characteristics, the policy environment, natural conditions, and the capabilities of construction teams. Furthermore, internal and external regulatory efforts are increasing, resulting in a high level of construction workload, localized shortages of construction resources, high pressure on production safety, and stringent quality control and regulatory requirements. To improve the grid's ability to optimize resource allocation and enhance grid construction progress control, it is crucial to explore advanced concepts and models for project construction schedule planning, strengthen early warning and control during the construction process, explore intelligent planning and forecasting systems for project construction progress, and enhance the visualization and digital management of project progress data.

[0003] With the rapid development of power systems and the ever-expanding scale of substation power grid construction, the complexity and diversity of underlying model data are also increasing. Traditional data analysis methods suffer from inefficiency and poor accuracy when processing large-scale, multi-source, heterogeneous data, making them unable to meet the high data analysis requirements of modern power grid construction. Therefore, an efficient and accurate method for analyzing underlying model data is urgently needed to improve data management and decision support capabilities for substation power grid construction.

[0004] Therefore, we propose a data analysis method for the basic model of substation engineering power grid construction to solve the above problems. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In view of the shortcomings of the existing technology, the purpose of the present invention is to provide a method for parsing basic model data in substation project power grid construction, which can efficiently and accurately parse the basic model data in substation project power grid construction, improve the efficiency and quality of data processing, provide reliable data support for power grid construction, and solve the problems raised in the above-mentioned background technology.

[0007] (2) Technical solution

[0008] In order to achieve the above-mentioned purpose, the present invention specifically adopts the following technical solutions:

[0009] A method for analyzing data of a basic model of a power grid construction of a substation project comprises the following steps:

[0010] Acquire multi-source heterogeneous basic data of substation projects and process the basic data of substation power grid construction;

[0011] Extract key features from pre-processed data and, through a rule engine and semantic analysis algorithm, extract key entities and attributes from unstructured data to reflect the essential properties of the power grid model;

[0012] Based on the extracted features, the extracted entities and attributes are mapped to a standardized data model to build a basic model for substation power grid construction, including the equipment layer, structure layer, and topology layer to describe the structure and behavior of the power grid;

[0013] Based on the physical space coordinates and electrical connection rules, the device-structure-topology association matrix is ​​generated, and the data of the device layer, structure layer and topology layer are integrated to construct a three-dimensional topological model of the power grid with spatial constraints;

[0014] The constructed model is analyzed using analytical algorithms, including model verification, parameter estimation, and state assessment, to obtain detailed information on the power grid model;

[0015] Output the analysis results in a visual and structured form.

[0016] Furthermore, the multi-source heterogeneous basic data includes design drawings, equipment parameter tables, civil structure data, power grid topology description files and on-site survey text reports; the basic data of substation project power grid construction is cleaned, denoised and format converted for pre-processing to improve data quality and consistency.

[0017] Furthermore, extracting key features from the preprocessed data includes:

[0018] Identify electrical equipment symbols, connection lines, and spatial coordinates from design drawings;

[0019] Analyze the equipment model, rated voltage, capacity and interface specifications from the equipment parameter table;

[0020] Extract geographic coordinates, soil parameters, and environmental constraints from text reports.

[0021] Furthermore, the key features include device parameters, topology, and operating status, wherein the feature extraction step includes:

[0022] Use feature selection algorithm to extract key features from data. The specific formula is:

[0023]

[0024] Among them, F i is the i-th feature, var(F i ) is the variance of the feature, cov(Fi ,F j ) is the covariance between features;

[0025] The feature extraction technology is used to convert the original data into feature vectors. The specific formula is:

[0026] V feature = PCA(X);

[0027] Among them, PCA(X) is the principal component analysis algorithm.

[0028] Furthermore, the basic model includes:

[0029] Equipment layer: electrical parameters of transformers, circuit breakers, and disconnecting switchgear;

[0030] Structural layer: 3D geometry and material properties of foundation supports and cable trenches;

[0031] Topology layer: electrical connection relationship and grid node logical topology.

[0032] Furthermore, the correlation matrix specifically includes:

[0033] Bind electrical equipment to civil structure locations using coordinate matching algorithms;

[0034] Verify topology logic consistency according to electrical connection rules.

[0035] Furthermore, in constructing the three-dimensional topological model of the power grid with spatial constraints:

[0036] The electrical connection path is automatically generated into the shortest wiring based on the device interface coordinates;

[0037] Civil structure collision detection is verified in real time through the bounding box algorithm.

[0038] Furthermore, the data parsing step includes:

[0039] The constructed model is verified using the model verification algorithm. The specific formula is:

[0040] V model =RMSE(M predicted , M actual );

[0041] Among them, M predicted is the model prediction value, M actual is the actual value, RMSE is the root mean square error; the model parameters are estimated using the parameter estimation algorithm, the specific formula is;

[0042]

[0043] Among them, MLE(X) is the maximum likelihood estimation algorithm;

[0044] The operating status of the power grid is evaluated through the state assessment algorithm. The specific formula is:

[0045] S grid =h(V bus , I line , P load );

[0046] Among them, V bus is the bus voltage, I line is the line current, P load is the load power.

[0047] Furthermore, the result output step includes:

[0048] Output the analysis results in the form of charts, reports, etc.

[0049] Provides an intuitive visual interface to support users in querying, analyzing and applying analysis results.

[0050] Furthermore, the result output generates a basic model of power grid construction that complies with the IEC 61970 CIM / CIS standard. The output format includes:

[0051] IFC files that can be imported into BIM platforms;

[0052] Support CIM / XML files of power grid dispatching system;

[0053] GLTF file for 3D visualization.

[0054] (3) Beneficial effects

[0055] Compared with the existing technology, the present invention provides a method for analyzing data of a basic model of power grid construction for a substation project, which has the following beneficial effects:

[0056] The present invention significantly improves the speed of data parsing by optimizing the data preprocessing process and parsing algorithm, and is capable of processing large-scale, multi-source heterogeneous data; it adopts advanced feature extraction and model building technologies to improve the accuracy of data parsing and can accurately reflect the actual situation of the power grid model; this method can efficiently and accurately parse the basic model data in the power grid construction of substation projects, improve the efficiency and quality of data processing, and provide reliable data support for power grid construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 A schematic diagram of the process steps of a method for analyzing data of a basic model of a power grid construction for a substation project according to the present invention;

[0058] Figure 2 This is a schematic diagram of the basic model composition of a data analysis method for a basic model of a power grid construction for a substation project according to the present invention. DETAILED DESCRIPTION

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0060] Example

[0061] like Figure 1 and Figure 2 As shown, a method for analyzing data of a basic model of a power grid construction for a substation project proposed in one embodiment of the present invention includes the following steps:

[0062] Acquire multi-source heterogeneous basic data of substation projects and process the basic data of substation power grid construction;

[0063] Extract key features from pre-processed data and, through a rule engine and semantic analysis algorithm, extract key entities and attributes from unstructured data to reflect the essential properties of the power grid model;

[0064] Based on the extracted features, the extracted entities and attributes are mapped to a standardized data model to build a basic model for substation power grid construction, including the equipment layer, structure layer, and topology layer to describe the structure and behavior of the power grid;

[0065] Based on the physical space coordinates and electrical connection rules, the device-structure-topology association matrix is ​​generated, and the data of the device layer, structure layer and topology layer are integrated to construct a three-dimensional topological model of the power grid with spatial constraints;

[0066] The constructed model is analyzed using analytical algorithms, including model verification, parameter estimation, and state assessment, to obtain detailed information on the power grid model;

[0067] The analysis results are output in a visual and structured form to facilitate user understanding and application.

[0068] The present invention provides a method for parsing basic model data in substation engineering power grid construction. Through the steps of data preprocessing, feature extraction, model construction, data analysis and result output, the method can efficiently and accurately parse the basic model data in substation engineering power grid construction, improve the efficiency and quality of data processing, and provide reliable data support for power grid construction.

[0069] like Figure 1 and Figure 2As shown, in some embodiments, the multi-source heterogeneous basic data include design drawings (CAD format), equipment parameter tables (Excel / XML), civil structure data (BIM model), power grid topology description files and on-site survey text reports; the basic data of substation project power grid construction are cleaned, denoised, and format converted for pre-processing operations to improve data quality and consistency.

[0070] The data preprocessing steps include:

[0071] Data cleaning algorithm is used to remove outliers and missing values ​​in the data. The specific formula is:

[0072]

[0073] Among them, X is the original data, is the mean of the data, n is the number of data;

[0074] Data denoising technology is used to eliminate noise interference in the data. The specific formula is:

[0075] X denoise =X-median(X);

[0076] Where median(X) is the median of the data;

[0077] Use format conversion tools to convert data into a unified format.

[0078] like Figure 1 and Figure 2 As shown, in some embodiments, extracting key features from the preprocessed data includes:

[0079] Identify electrical equipment symbols, connection lines, and spatial coordinates from design drawings;

[0080] Analyze the equipment model, rated voltage, capacity and interface specifications from the equipment parameter table;

[0081] Extract geographic coordinates, soil parameters, and environmental constraints from text reports.

[0082] The key features include device parameters, topology, and operating status, wherein the feature extraction step includes:

[0083] Use feature selection algorithm to extract key features from data. The specific formula is:

[0084]

[0085] Among them, F i is the i-th feature, var(F i ) is the variance of the feature, cov(Fi ,F j ) is the covariance between features;

[0086] The feature extraction technology is used to convert the original data into feature vectors. The specific formula is:

[0087] V feature = PCA(X);

[0088] Among them, PCA(X) is the principal component analysis algorithm.

[0089] like Figure 1 and Figure 2 As shown, in some embodiments, the base model includes:

[0090] Equipment layer: electrical parameters of transformers, circuit breakers, and disconnecting switchgear;

[0091] Structural layer: 3D geometry and material properties of foundation supports and cable trenches;

[0092] Topology layer: electrical connection relationship and grid node logical topology.

[0093] like Figure 1 and Figure 2 As shown, in some embodiments, the association matrix specifically includes:

[0094] Bind electrical equipment to civil structure locations using coordinate matching algorithms;

[0095] Verify topology logic consistency according to electrical connection rules (such as circuit breakers must be connected in series with the line).

[0096] like Figure 2 As shown, in some embodiments, in the construction of the three-dimensional topology model of the power grid with spatial constraints:

[0097] The electrical connection path is automatically generated into the shortest wiring based on the device interface coordinates;

[0098] Civil structure collision detection is verified in real time through the bounding box algorithm.

[0099] like Figure 1 As shown, in some embodiments, the data parsing step includes:

[0100] The constructed model is verified using the model verification algorithm. The specific formula is:

[0101] V model =RMSE(M predicted , M actual );

[0102] Among them, M predicted is the model prediction value, M actualis the actual value, RMSE is the root mean square error;

[0103] The model parameters are estimated using the parameter estimation algorithm. The specific formula is:

[0104]

[0105] Among them, MLE(X) is the maximum likelihood estimation algorithm;

[0106] The operating status of the power grid is evaluated through the state assessment algorithm. The specific formula is:

[0107] S grid =h(V bus , I line , P load );

[0108] Among them, V bus is the bus voltage, I line is the line current, P load is the load power.

[0109] like Figure 1 As shown, in some embodiments, the step of outputting the result includes:

[0110] Output the analysis results in the form of charts, reports, etc.

[0111] Provides an intuitive visual interface to support users in querying, analyzing and applying analysis results.

[0112] The results are output to generate a basic model for power grid construction that complies with the IEC 61970 CIM / CIS standard. The output formats include:

[0113] IFC files that can be imported into BIM platforms;

[0114] Support CIM / XML files of power grid dispatching system;

[0115] GLTF file for 3D visualization.

[0116] In some embodiments, the basic model data of the substation engineering grid construction includes equipment parameters, topology structure, operating status and other data, and the analytical algorithm includes model verification algorithm, parameter estimation algorithm, status assessment algorithm and the like.

[0117] In some embodiments, the visual and structured output forms include charts, reports, visual interfaces, etc.

[0118] In some embodiments, the method is applicable to large-scale, multi-source heterogeneous substation engineering grid construction basic model data analysis.

[0119] In some embodiments, the data preprocessing step further includes: normalizing the data to eliminate the dimensional influence between different data; and performing feature scaling on the data to improve the accuracy of feature extraction.

[0120] In some embodiments, the feature extraction step further includes: performing feature selection on the extracted features to remove redundant features; and performing feature transformation on the extracted features to improve the expressiveness of the features.

[0121] In some embodiments, the model building step further includes: performing parameter optimization on the device model to improve the accuracy of the model; and performing topology optimization on the network model to improve the reliability of the model.

[0122] In some embodiments, the data analysis step further includes: performing an error analysis on the analysis results to evaluate the accuracy of the analysis results; and performing a sensitivity analysis on the analysis results to evaluate the stability of the analysis results.

[0123] In some embodiments, the result output step further includes: performing data mining on the analysis results to discover potential patterns in the data; and performing knowledge discovery on the analysis results to extract useful information from the data.

[0124] In some embodiments, the method further includes: monitoring the analysis results in real time to ensure the real-time nature of the analysis results; dynamically updating the analysis results to adapt to changes in the power grid model; performing a security assessment on the analysis results to ensure the security of the analysis results; and protecting the privacy of the analysis results to protect sensitive information in the data.

[0125] During use, data preprocessing: perform cleaning, denoising, format conversion and other preprocessing operations on the basic model data of the substation project power grid construction to improve the quality and consistency of the data.

[0126] Feature extraction: Extract key features from preprocessed data, including device parameters, topology, operating status, etc., to reflect the essential properties of the power grid model.

[0127] Model construction: Based on the extracted features, a basic model of the substation power grid construction is constructed, including equipment models, network models, etc., to describe the structure and behavior of the power grid.

[0128] Data analysis: The constructed model is analyzed using analytical algorithms, including model verification, parameter estimation, state assessment, etc., to obtain detailed information of the power grid model.

[0129] Result output: The analysis results are output in a visual, structured form to facilitate user understanding and application.

[0130] The present invention significantly improves the speed of data parsing by optimizing the data preprocessing process and parsing algorithm, and is capable of processing large-scale, multi-source heterogeneous data; it adopts advanced feature extraction and model building technologies to improve the accuracy of data parsing and can accurately reflect the actual situation of the power grid model; this method can efficiently and accurately parse the basic model data in the power grid construction of substation projects, improve the efficiency and quality of data processing, and provide reliable data support for power grid construction.

[0131] In summary, the present invention provides a method for parsing basic model data in substation engineering power grid construction. Through the steps of data preprocessing, feature extraction, model construction, data analysis and result output, the basic model data in substation engineering power grid construction can be efficiently and accurately analyzed, the efficiency and quality of data processing can be improved, and reliable data support can be provided for power grid construction.

[0132] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and the part of the module, program segment or instruction includes one or more executable instructions for realizing the logical function of the specification. In some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the function or action of the specification, or can be implemented with a combination of dedicated hardware and computer instructions.

[0133] Example embodiments have been disclosed herein, and although specific terms are employed, they are used and should be interpreted only in a general illustrative sense and not for purposes of limitation. In some instances, it will be apparent to those skilled in the art that, unless otherwise expressly indicated, features, characteristics, and / or elements described in conjunction with a particular embodiment may be used alone or in combination with features, characteristics, and / or elements described in conjunction with other embodiments. Therefore, it will be understood by those skilled in the art that various changes in form and detail may be made without departing from the scope of the invention as set forth in the appended claims.

Claims

1. A method for analyzing data of a basic model of a power grid construction project, characterized in that: The following steps are involved: Acquire multi-source heterogeneous basic data of substation projects and process the basic data of substation power grid construction; Extract key features from pre-processed data and, through a rule engine and semantic analysis algorithm, extract key entities and attributes from unstructured data to reflect the essential properties of the power grid model; Based on the extracted features, the extracted entities and attributes are mapped to a standardized data model to build a basic model for substation power grid construction, including the equipment layer, structure layer, and topology layer to describe the structure and behavior of the power grid; Based on the physical space coordinates and electrical connection rules, the device-structure-topology association matrix is ​​generated, and the data of the device layer, structure layer and topology layer are integrated to construct a three-dimensional topological model of the power grid with spatial constraints; The constructed model is analyzed using analytical algorithms, including model verification, parameter estimation, and state assessment, to obtain detailed information on the power grid model; Output the analysis results in a visual and structured form.

2. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 1, characterized in that: The multi-source heterogeneous basic data includes design drawings, equipment parameter tables, civil structure data, power grid topology description files and on-site survey text reports; the basic data of substation project power grid construction is cleaned, denoised and format converted to improve data quality and consistency.

3. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 1, characterized in that: Extracting key features from the preprocessed data includes: Identify electrical equipment symbols, connection lines, and spatial coordinates from design drawings; Analyze the equipment model, rated voltage, capacity and interface specifications from the equipment parameter table; Extract geographic coordinates, soil parameters, and environmental constraints from text reports.

4. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 3, characterized in that: The key features include device parameters, topology, and operating status. The feature extraction steps include: Use feature selection algorithm to extract key features from data. The specific formula is: Among them, F i is the i-th feature, var(F i ) is the variance of the feature, cov(F i ,F j ) is the covariance between features; The feature extraction technology is used to convert the original data into feature vectors. The specific formula is: V feature =PCA(X); Among them, PCA(X) is the principal component analysis algorithm.

5. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 1, characterized in that: The basic model includes: Equipment layer: electrical parameters of transformers, circuit breakers, and disconnecting switchgear; Structural layer: 3D geometry and material properties of foundation supports and cable trenches; Topology layer: electrical connection relationship and grid node logical topology.

6. The method for analyzing data of a basic model of a power transformation project grid construction according to claim 1, characterized in that: The correlation matrix specifically includes: Bind electrical equipment to civil structure locations using coordinate matching algorithms; Verify topology logic consistency according to electrical connection rules.

7. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 1, characterized in that: In the construction of the three-dimensional topological model of the power grid with spatial constraints: The electrical connection path is automatically generated into the shortest wiring based on the device interface coordinates; Civil structure collision detection is verified in real time through the bounding box algorithm.

8. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 1, characterized in that: The data parsing steps include: The constructed model is verified using the model verification algorithm. The specific formula is: V model =RMSE(M predicted ,M actual ); Among them, M predicted is the model prediction value, M actual is the actual value, RMSE is the root mean square error; The model parameters are estimated using the parameter estimation algorithm. The specific formula is: Among them, MLE(X) is the maximum likelihood estimation algorithm; The operating status of the power grid is evaluated through the state assessment algorithm. The specific formula is: S grid =h(V bus ,I line ,P load ); Among them, V bus is the bus voltage, I line is the line current, P load is the load power.

9. The method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 1, characterized in that: The result output step includes: Output the analysis results in the form of charts, reports, etc. Provides an intuitive visual interface to support users in querying, analyzing and applying analysis results.

10. A method for analyzing data of a basic model of a power grid construction for a power transformation project according to claim 9, characterized in that: The results are output to generate a basic model for power grid construction that complies with the IEC 61970 CIM / CIS standard. The output formats include: IFC files that can be imported into BIM platforms; Support CIM / XML files of power grid dispatching system; GLTF file for 3D visualization.

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