Method and device for analyzing typical operation mode of power transmission channel and storage medium

Abstract

The application discloses a kind of transmission channel typical operation mode analysis method, device and storage medium, its method includes: obtaining the power data of each section of transmission channel in preset time period as new energy blocked influence factor and pre-processing power data;The contribution degree of each section to the new energy blocked influence of transmission channel is obtained;According to the distribution index of the power data of each section of pre-processed power data, the distribution index of the power data of each section is calculated;The distribution index of the power data of each section is added to contribution degree, and the power data of the two sections with the maximum addition result in preset time period is taken as clustering original data;The clustering original data is clustered by CLIQUE, and the transmission channel typical operation mode is divided according to the clustering result;The section characteristics under each typical operation mode after division are analyzed, and the analysis result is output.The application can give accurate and effective auxiliary decision to power grid regulation, so as to improve the section transmission capacity of transmission channel.

Description

TECHNICAL FIELD

[0001] The application relates to a method and device for analyzing typical operation modes of a power transmission channel and a storage medium, and belongs to the technical field of power grid dispatching control. BACKGROUND

[0002] With the rapid development of new energy and the continuous increase of installed capacity, the uncertainty and diversity of power grid operation modes are aggravated, dispatching and operation personnel cannot accurately tap the power transmission potential of the new energy sending section, and can only adopt overly conservative operation restrictions, thereby causing a large waste of section transmission capacity and unnecessary new energy unit shutdown or restriction. The output of wind, light and other new energy has randomness and volatility, and large-scale consumption has been a worldwide problem. In order to ensure the stable consumption of gradually increasing new energy, the construction of cross-regional and cross-provincial power transmission channels should be promoted and the section transmission capacity under the existing facility conditions should be fully utilized. In order to maximize the consumption of new energy, real-time dispatching needs to be continuously manually adjusted and controlled, and the section constraints in the region are complex, and the calculation of the limits often involves multiple stability problems, resulting in the difficulty of coordinating control considering the section utilization rate relying on traditional physical simulation and manual adjustment. In order to tap the power transmission potential of the power grid, a section limit range rule matched with real-time operation should be established, fine limit ranges should be set, and a flexible switching method of the limit range should be researched. Considering that it is impossible to accurately and real-time online calculate and check the off-line formulated section stability limit, and the clamping effect between the cascaded sections has not been fully researched and explained, it is difficult to realize the flexible switching of the limit range of the complex cascaded section and the full excavation of the section utilization rate under the uncertainty of new energy only relying on the existing technology, and a new real-time analysis technology is needed to realize the full excavation of the section transmission potential and the safety improvement of new energy consumption. SUMMARY

[0003] The application aims at overcoming the deficiencies in the prior art, and provides a method and device for analyzing typical operation modes of a power transmission channel and a storage medium, which can analyze the average value of the section blockage and the proportion of each state of the section under each typical operation mode, and can give an accurate and effective auxiliary decision-making strategy, so as to improve the section transmission capacity of the power transmission channel.

[0004] To achieve the above object, the application adopts the following technical scheme:

[0005] In a first aspect, the application provides a method for analyzing typical operation modes of a power transmission channel, comprising:

[0006] Obtaining power data of each section of the power transmission channel in a preset time period as a new energy blockage influencing factor;

[0007] Obtaining the contribution of each section to the new energy blockage of the power transmission channel;

[0008] According to the power data of each section, a distribution index of the power data of each section is calculated;

[0009] The distribution index of the power data of each section is added with the contribution degree, and power data of two sections with the maximum addition result in a preset time period is taken as the clustering original data;

[0010] The clustering original data is subjected to CLIQUE clustering, and according to the clustering result, the typical operation mode of the power transmission channel is divided;

[0011] The section features under each typical operation mode after the division are analyzed, and the analysis result is outputted.

[0012] Optionally, the method further comprises:

[0013] The variation amplitude of the power data of each section in a preset time period in a preset time period is obtained, and if the variation amplitude is greater than a preset amplitude threshold, the power data of the corresponding time period is eliminated.

[0014] Optionally, the calculation of the distribution index of the power data of each section comprises:

[0015] According to the power data of each section in a preset time period, a power average value is calculated

[0016]

[0017] In the formula, n is the number of time points in the preset time period, p n is the section power value at time point n;

[0018] According to the power average value , a standard deviation σ of the power data of each section in the preset time period is calculated:

[0019]

[0020] According to the power average value and the standard deviation σ, a distribution index c v of the power data of each section in the preset time period is calculated:

[0021]

[0022] Optionally, the CLIQUE clustering of the clustering original data comprises:

[0023] A grid step is set, and according to the grid step, all data points in the clustering original data are divided into mutually non-overlapping rectangular grids in a multi-dimensional data space;

[0024] A density threshold is set, the number of data points in each rectangular grid is obtained, and if the number of data points is greater than or equal to the density threshold, the density of the corresponding rectangular grid is dense;

[0025] Rectangular grids with dense density are marked as clusters, and if there are two clusters corresponding to rectangular grids that are adjacent to each other, the two rectangular grids are merged into a new rectangular grid and marked as a new cluster.

[0026] If there are no two clusters corresponding to rectangular grids that are adjacent to each other, each cluster is output.

[0027] Optionally, the dividing of the typical operation modes of the power transmission channel according to the clustering result comprises:

[0028] The average distance between clusters according to the clustering result and the perpendicular line of the corresponding coordinate axis are taken as the division of the grade limits P a 、P b :

[0029]

[0030]

[0031] In the formula, P 2,i 、P 3,i are the right horizontal coordinate and the upper vertical coordinate of cluster i, respectively, and P 1,j 、P 3,j are the left horizontal coordinate and the lower vertical coordinate of cluster j, respectively.

[0032] Optionally, the analysis of the cross-section characteristics under each typical operation mode after division comprises:

[0033] The total amount of resistance S and the resistance time T of each typical operation mode after division in a preset time period are obtained, and the average value of resistance S a of the corresponding typical operation mode is calculated.

[0034]

[0035] If the average value of resistance S a is larger, the cross-section limit of the corresponding typical operation mode needs to be adjusted.

[0036] Optionally, the analysis of the cross-section characteristics under each typical operation mode after division further comprises:

[0037] The cross-section power value and the stable limit of each time of the typical operation mode are obtained for the typical operation mode that needs to adjust the cross-section limit.

[0038] The overload index I iFor:

[0039]

[0040] In the formula, p i , w i respectively are the cross-section power value and the stable limit at time i;

[0041] According to the heavy load index I i , the cross-section state is judged:

[0042] When 0.8<I i , the cross-section state is a heavy load state;

[0043] When 0.2≤I i <0.8, the cross-section state is a normal state;

[0044] When 0≤I i <0.2, the cross-section state is a light load state;

[0045] When I i <0, the cross-section state is a reverse state;

[0046] The quantity of each cross-section state and the quantity of all cross-section states are obtained, and the proportion of each cross-section state is calculated;

[0047] If the proportion of the heavy load state is greater than 40%, and the proportions of the light load state and the reverse state are less than 10%, the cross-section limit is increased.

[0048] In a second aspect, the present application provides an analysis device for typical operation modes of a power transmission channel, the device comprising

[0049] A data arrangement module is configured to obtain power data of each cross-section of the power transmission channel in a preset time period as a new energy blocking influence factor;

[0050] A contribution degree obtaining module is configured to obtain a contribution degree of each cross-section to the new energy blocking influence of the power transmission channel;

[0051] A distribution index calculation module is configured to calculate a distribution index of the power data of each cross-section according to the power data of each cross-section;

[0052] A clustering original data obtaining module is configured to add the distribution index of the power data of each cross-section to the contribution degree, and take the power data of the two cross-sections with the maximum addition result in the preset time period as clustering original data;

[0053] An operation mode division module is configured to perform CLIQUE clustering on the clustering original data, and divide the typical operation modes of the power transmission channel according to the clustering result;

[0054] The section limit analysis module is configured to analyze the section characteristics in each typical operation mode after the division and output analysis results.

[0055] Optionally, the method further comprises:

[0056] The method further comprises: obtaining a variation range of the power data of each section in a preset time period in a preset time period, and removing the power data in the corresponding time period if the variation range is greater than a preset range threshold.

[0057] Optionally, the calculation of the distribution index of the power data of each section comprises:

[0058] The method further comprises: calculating a power average value according to the power data of each section in a preset time period

[0059]

[0060] In the formula, n is the number of time points in the preset time period, p n is the section power value at time point n;

[0061] The method further comprises: calculating a power average value according to the power data of each section in a preset time period

[0062]

[0063] The method further comprises: calculating a power average value according to the power data of each section in a preset time period v and the standard deviation σ to calculate a distribution index c

[0064]

[0065] Optionally, the CLIQUE clustering of the clustering original data comprises:

[0066] The method further comprises: setting a grid step, and dividing all data points in the clustering original data into non-overlapping rectangular grids in a multi-dimensional data space according to the grid step;

[0067] The method further comprises: setting a density threshold, obtaining the number of data points in each rectangular grid, and setting the density of the corresponding rectangular grid as dense if the number of data points is greater than or equal to the density threshold;

[0068] The method further comprises: marking the rectangular grid with dense density as a cluster, and merging two rectangular grids into a new rectangular grid and marking it as a new cluster if the two rectangular grids corresponding to the two clusters are adjacent to each other.

[0069] If there are no two rectangular grids corresponding to the two clusters adjacent to each other, the method further comprises: outputting each cluster.

[0070] ​​Optionally, the dividing the typical operation modes of the power transmission channel according to the clustering result comprises:

[0071] According to the average value of the distance between the clusters according to the clustering result and the perpendicular line of the corresponding coordinate axis as the division grade limit P a , P b :

[0072]

[0073]

[0074] In the formula, P 2,i , P 3,i are the right side horizontal coordinate and the upper side vertical coordinate of the cluster i respectively, P 1,j , P 3,j are the left side horizontal coordinate and the lower side vertical coordinate of the cluster j respectively.

[0075] Optionally, the analyzing the section feature under each typical operation mode after the division comprises:

[0076] Obtaining the total amount of blockage S and the blockage time T of each typical operation mode after the division in a preset time period, and calculating the average value S a of the blockage of the corresponding typical operation mode:

[0077]

[0078] If the average value S a of the blockage is larger, the section limit of the corresponding typical operation mode needs to be adjusted.

[0079] Optionally, the analyzing the section feature under each typical operation mode after the division further comprises:

[0080] Obtaining the section power value at each time and the stable limit of the typical operation mode for the typical operation mode needing the section limit adjustment:

[0081] According to the section power value at each time and the stable limit, calculating the overload index I i at each time as:

[0082]

[0083] In the formula, p i , w i are the section power value and the stable limit at time i respectively;

[0084] According to the overload index I i , judging the section state:

[0085] When 0.8<I iWhen I is greater than 0.8, the cross-section state is a heavy load state;

[0086] When 0.2≤I i <0.8, the cross-section state is a normal state;

[0087] When 0≤I i <0.2, the cross-section state is a light load state;

[0088] When I i <0, the cross-section state is a reverse state;

[0089] The number of each cross-section state and the number of all cross-section states are obtained to calculate the proportion of each cross-section state;

[0090] If the proportion of the heavy load state is greater than 40% and the proportions of the light load state and the reverse state are less than 10%, the cross-section limit is increased.

[0091] In a third aspect, the present application provides an analysis device for typical operation modes of a power transmission channel, comprising a processor and a storage medium;

[0092] The storage medium is used for storing instructions;

[0093] The processor is used for operating according to the instructions to perform the steps of the above method.

[0094] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to implement the steps of the above method.

[0095] Compared with the prior art, the present application has the following beneficial effects:

[0096] The present application provides an analysis method, device and storage medium for typical operation modes of a power transmission channel, (1) compared with the traditional cross-section data selection method relying on experience, the present application selects cross-section clustering data based on cross-section data distribution indexes and contribution degrees, and provides an accurate and efficient cross-section data selection method through rapid calculation and analysis of historical data of each cross-section of the power transmission channel; (2) the effective clustering of each cross-section data is completed by using CLIQUE clustering, the clustering results can clearly show the data cluster distribution and its boundary, and the data cluster is divided through the typical scene division method defined by the present application, thereby providing a reasonable and effective typical operation scene division method; (3) the analysis of the cross-section resistance average value and the proportion of each state of the cross-section under each typical operation mode provides an accurate and effective auxiliary decision for power grid dispatching. BRIEF DESCRIPTION OF DRAWINGS

[0097] Figure 1 is a flowchart of an analysis method for typical operation modes of a power transmission channel provided by an embodiment of the present application;

[0098] Figure 2 is a typical operation mode of the division schematic diagram provided by embodiment one of the present application. DETAILED DESCRIPTION

[0099] The present application will be further described below with reference to the drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present application, and cannot be used to limit the protection scope of the present application.

[0100] Embodiment one:

[0101] As shown in the drawings, the present application provides an analysis method of a typical operation mode of a power transmission channel, comprising the following steps: Figure 1

[0102] 1. Obtain the power data of each section of the power transmission channel in a preset time period as the new energy blocking influence factor; the power data needs to be preprocessed, including:

[0103] Obtain the variation amplitude of the power data of each section in a preset time period in a preset time period, if the variation amplitude is greater than the preset amplitude threshold, then eliminate the power data of the corresponding time period.

[0104] 2. Obtain the contribution degree of each section to the new energy blocking influence of the power transmission channel;

[0105] 3. Calculate the distribution index of the power data of each section according to the preprocessed power data of each section; the calculation of the distribution index of the power data of each section includes:

[0106] 3.1. Calculate the power average value according to the power data of each section in a preset time period

[0107]

[0108] In the formula, n is the number of time points in the preset time period, p n is the section power value at time point n;

[0109] 3.2. Calculate the standard deviation σ of the power data of each section in a preset time period according to the power average value

[0110]

[0111] 3.3. Calculate the distribution index c of the power data of each section in a preset time period according to the power average value v and the standard deviation σ:

[0112] ​​

[0113] 4. Add the distribution index and contribution of the power data of each section, and take the power data of the two sections with the largest sum in the preset time period as the original data for clustering.

[0114] 5. Perform CLIQUE clustering on the original clustering data and classify the typical operating modes of the transmission channels based on the clustering results; the CLIQUE clustering of the original clustering data includes:

[0115] 5.1 Set the grid step size. Based on the grid step size, divide all data points in the original clustering data into non-overlapping rectangular grids in the multidimensional data space.

[0116] 5.2 Set a density threshold and obtain the number of data points in each rectangular grid. If the number of data points is greater than or equal to the density threshold, the density of the corresponding rectangular grid is dense.

[0117] 5.3. Mark dense rectangular meshes as clusters. If two clusters have adjacent rectangular meshes, merge the two rectangular meshes into a new rectangular mesh and mark it as a new cluster.

[0118] 5.4 If no two clusters have adjacent rectangular grids, output each cluster.

[0119] 6. Analyze the cross-sectional characteristics under each typical operating mode after division and output the analysis results.

[0120] Based on the clustering results, the typical operating modes of power transmission channels are classified as follows:

[0121] 6.1, such as Figure 2 As shown, the average distance between clusters in the clustering results and the perpendicular line to their corresponding coordinate axes are used as the dividing line P. a P b :

[0122]

[0123]

[0124] In the formula, P 2,i P 3,i P represents the right x-coordinate and the top y-coordinate of cluster i, respectively. 1,j P 4,j These are the left horizontal coordinate and the bottom vertical coordinate of cluster j, respectively.

[0125] 6.2. Analysis of the cross-sectional characteristics under each typical operating mode after division includes:

[0126] Obtain the total amount of blockage S and the blocked time T of each typical operation mode in the preset time period, and calculate the average value S of the corresponding typical operation mode a :

[0127]

[0128] If the average value S a is larger, the cross-section limit of the corresponding typical operation mode needs to be adjusted.

[0129] 6.3, the analysis of the cross-section characteristics of each divided typical operation mode further comprises:

[0130] Obtain the cross-section power value and the stable limit of each time of the typical operation mode which needs to adjust the cross-section limit;

[0131] According to the cross-section power value and the stable limit of each time, calculate the overload index I i of each time:

[0132]

[0133] In the formula, p i , w i are the cross-section power value and the stable limit of time i respectively;

[0134] According to the overload index I i , the cross-section state is judged:

[0135] When 0.8<I i , the cross-section state is the overload state;

[0136] When 0.2≤I i <0.8, the cross-section state is the normal state;

[0137] When 0≤I i <0.2, the cross-section state is the light load state;

[0138] When I i <0, the cross-section state is the reverse state;

[0139] Obtain the number of each cross-section state and the number of all cross-section states to calculate the proportion of each cross-section state;

[0140] If the proportion of the overload state is greater than 40%, and the proportions of the light load state and the reverse state are less than 10%, the cross-section limit is increased.

[0141] Embodiment two:

[0142] The embodiment of the application provides an analysis device for typical operation mode of power transmission channel, the device comprises

[0143] (1)Data processing module, for obtaining the power data of each section of the power transmission channel in a preset time period as the new energy blocking influence factor; the power data needs to be preprocessed, including: obtaining the change amplitude of the power data of each section in a preset time period in a preset time period, if the change amplitude is greater than the preset amplitude threshold, the power data of the corresponding time period is removed.

[0144] (2)Contribution acquisition module, for obtaining the contribution of each section to the new energy blocking of the power transmission channel.

[0145] (3)Distribution index calculation module, for calculating the distribution index of each section of the power data according to the preprocessed power data of each section; calculating the distribution index of each section of the power data includes:

[0146] According to the power data of each section in a preset time period, the power average value is calculated

[0147]

[0148] In the formula, n is the number of time in the preset time period, p n is the section power value at time n;

[0149] According to the power average value , the standard deviation σ of the power data of each section in a preset time period is calculated:

[0150]

[0151] According to the power average value and the standard deviation σ, the distribution index c v of the power data of each section in a preset time period is calculated:

[0152]

[0153] (4)Cluster original data acquisition module, for adding the distribution index of the power data of each section and the contribution, and taking the power data of the two sections with the maximum addition result in the preset time period as the cluster original data.

[0154] (5)Running mode division module, for CLIQUE clustering of the cluster original data and dividing the typical running mode of the power transmission channel according to the clustering result;

[0155] The CLIQUE clustering of the cluster original data includes:

[0156] Set the grid step, and divide all data points in the cluster original data into non-overlapping rectangular grids in the multi-dimensional data space according to the grid step;

[0157] setting a density threshold, obtaining the number of data points in each rectangular grid, if the number of data points is greater than or equal to the density threshold, the density of the corresponding rectangular grid is dense;

[0158] marking the rectangular grid with dense density as a cluster, if there are two clusters corresponding to the rectangular grids adjacent to each other, merging the two rectangular grids into a new rectangular grid and marking it as a new cluster;

[0159] if there are no two clusters corresponding to the rectangular grids adjacent to each other, output each cluster.

[0160] According to the clustering result, the typical operation mode of the power transmission channel is divided into:

[0161] According to the average distance between the clusters and the perpendicular line of the corresponding coordinate axis as the division of the limit P a 、P b :

[0162]

[0163]

[0164] In the formula, P 2,i 、P 3,i are the right horizontal coordinate and the upper vertical coordinate of cluster i, P 1,j 、P 3,j are the left horizontal coordinate and the lower vertical coordinate of cluster j.

[0165] (6) Section limit analysis module, for analyzing the section characteristics under each divided typical operation mode and outputting the analysis result. The analysis of the section characteristics under each divided typical operation mode includes:

[0166] obtaining the total amount of resistance S and the resistance time T of each divided typical operation mode in the preset time period, calculating the average resistance S a of the corresponding typical operation mode:

[0167]

[0168] If the average resistance S a is larger, the section limit of the corresponding typical operation mode needs to be adjusted.

[0169] Optionally, the analysis of the section characteristics under each divided typical operation mode also includes:

[0170] obtaining the section power value at each time and the stability limit of the typical operation mode for the typical operation mode that needs section limit adjustment;

[0171] According to the cross-section power value and the stability limit at each time, a heavy load index I at each time is calculated i is:

[0172]

[0173] In the formula, p i , w i are the cross-section power value and the stability limit at time i, respectively;

[0174] According to the heavy load index I i , a cross-section state is judged:

[0175] When 0.8<I i , the cross-section state is a heavy load state;

[0176] When 0.2≤I i <0.8, the cross-section state is a normal state;

[0177] When 0≤I i <0.2, the cross-section state is a light load state;

[0178] When I i <0, the cross-section state is a reverse state;

[0179] The number of each cross-section state and the number of all cross-section states are obtained, and the proportion of each cross-section state is calculated;

[0180] If the proportion of the heavy load state is greater than 40%, and the proportions of the light load state and the reverse state are less than 10%, the cross-section limit is increased.

[0181] Embodiment three:

[0182] Based on embodiment one, the embodiment of the application provides an analysis device for a typical operation mode of a power transmission channel, comprising a processor and a storage medium;

[0183] The storage medium is used for storing instructions;

[0184] The processor is used for operating according to the instructions to execute the steps of the above method.

[0185] Embodiment four:

[0186] Based on embodiment one, the embodiment of the application provides a computer readable storage medium, which stores a computer program, and the program is executed by a processor to realize the steps of the above method.

[0187] Those skilled in the art will appreciate that embodiments of the application can be devised for a method, a system, or a computer program product. Accordingly, the present application can be embodied in the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0188] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0189] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0190] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0191] The above description is only preferred embodiments of the application. It should be pointed out that for those skilled in the art, some improvements and modifications can be made without departing from the technical principles of the application, and these improvements and modifications should also be considered as falling within the scope of the application.

Claims

1. A method for analyzing typical operating modes of a power transmission channel, characterized in that, include: Power data of each section of the transmission channel within a preset time period is obtained as a factor affecting the obstruction of new energy sources; Obtain the contribution of each cross section to the impact of new energy obstruction on the power transmission channel; Calculate the power distribution index for each cross-section based on the power data for each cross-section; The distribution index of the power data of each section is added to the contribution degree, and the power data of the two sections with the largest sum in a preset time period are taken as the original data for clustering. CLIQUE clustering was performed on the original clustering data, and the typical operating modes of the power transmission channels were divided according to the clustering results; The cross-sectional characteristics under each typical operating mode after division are analyzed and the analysis results are output; The distribution indices for calculating the power data of each cross-section include: Calculate the average power based on the power data of each section within the preset time period. : ； In the formula, The number of moments within a preset time period. For a moment The cross-sectional power value; Based on average power Calculate the standard deviation of power data for each section within the preset time period. : ； Based on average power and standard deviation Calculate the distribution index of power data for each section within a preset time period. : ； The classification of typical operation modes of power transmission channels based on clustering results includes: The division boundaries are based on the average distance between clusters and the perpendicular line to their corresponding coordinate axes. : ； ； In the formula, , Clusters The right x-coordinate and the top y-coordinate, Clusters The left horizontal axis and the bottom vertical axis; The analysis of cross-sectional characteristics under each typical operating mode after division includes: Obtain the total amount of obstruction for each typical operating mode after division within a preset time period. and the time of obstruction Calculate the average resistance value for the corresponding typical operating mode. : ； If the average value is blocked The larger the value, the more the cross-sectional limit under the corresponding typical operating mode needs to be adjusted.

2. The method for analyzing typical operating modes of a power transmission channel according to claim 1, characterized in that, Also includes: The power data of each section within a preset time period is obtained, and if the change is greater than a preset threshold, the power data for the corresponding time period is removed.

3. The method for analyzing typical operating modes of a power transmission channel according to claim 1, characterized in that, The CLIQUE clustering of the original clustering data includes: Set the grid step size, and divide all data points in the original clustering data into non-overlapping rectangular grids in the multidimensional data space according to the grid step size; Set a density threshold to obtain the number of data points within each rectangular grid. If the number of data points is greater than or equal to the density threshold, the corresponding rectangular grid is considered dense. Dense rectangular grids are labeled as clusters. If two clusters have adjacent rectangular grids, the two rectangular grids are merged into a new rectangular grid and labeled as a new cluster. If no two clusters have adjacent rectangular grids, output each cluster.

4. The method for analyzing typical operating modes of a power transmission channel according to claim 1, characterized in that, The analysis of the cross-sectional characteristics under each typical operating mode after division also includes: For typical operating modes that require cross-sectional limit adjustment, obtain the cross-sectional power value and stability limit at each moment under the typical operating mode; The overload index for each moment is calculated based on the cross-sectional power value and stability limit. for: ； In the formula, They are time points The cross-sectional power value and stability limit; According to heavy load indicators Perform cross-sectional condition assessment: when At that time, the cross-sectional condition is under heavy load. when At that time, the cross-sectional condition was normal. when At that time, the cross-sectional condition was a lightly loaded condition; when At that time, the cross-sectional state is in the reverse state; Obtain the number of each cross-sectional state and the total number of all cross-sectional states, and calculate the proportion of each cross-sectional state. If the proportion of heavy load conditions is greater than 40%, and the proportion of light load conditions and reverse conditions is less than 10%, then the section limit will be increased.

5. An analysis device for typical operating modes of a power transmission channel, characterized in that, The device includes The data processing module is used to obtain power data of each section of the transmission channel within a preset time period as a factor affecting the obstruction of new energy sources; The contribution acquisition module is used to acquire the contribution of each section to the impact of the obstruction of new energy sources on the power transmission channel; The distribution index calculation module is used to calculate the distribution index of the power data for each cross-section based on the power data for each cross-section; the calculation of the distribution index of the power data for each cross-section includes: Calculate the average power based on the power data of each section within the preset time period. : ； In the formula, The number of moments within a preset time period. For a moment The cross-sectional power value; Based on average power Calculate the standard deviation of power data for each section within the preset time period. : ； Based on average power and standard deviation Calculate the distribution index of power data for each section within a preset time period. : ； The clustering source data acquisition module is used to add the distribution index of the power data of each section to the contribution degree and take the power data of the two sections with the largest sum in a preset time period as the clustering source data; The operation mode classification module is used to perform CLIQUE clustering on the original clustering data and classify the typical operation modes of the power transmission channel based on the clustering results; the classification of the typical operation modes of the power transmission channel based on the clustering results includes: The division boundaries are based on the average distance between clusters and the perpendicular line to their corresponding coordinate axes. : ； ； In the formula, , Clusters The right x-coordinate and the top y-coordinate, Clusters The left horizontal axis and the bottom vertical axis; The cross-sectional quota analysis module is used to analyze the cross-sectional characteristics under each typical operating mode after division and output the analysis results; the analysis of the cross-sectional characteristics under each typical operating mode after division includes: Obtain the total amount of obstruction for each typical operating mode after division within a preset time period. and the time of obstruction Calculate the average resistance value for the corresponding typical operating mode. : ； If the average value is blocked The larger the value, the more the cross-sectional limit under the corresponding typical operating mode needs to be adjusted.

6. The analysis device for typical operation modes of a power transmission channel according to claim 5, characterized in that, Also includes: The power data of each section within a preset time period is obtained, and if the change is greater than a preset threshold, the power data for the corresponding time period is removed.

7. The analysis device for typical operation modes of a power transmission channel according to claim 5, characterized in that, The CLIQUE clustering of the original clustering data includes: Set the grid step size, and divide all data points in the original clustering data into non-overlapping rectangular grids in the multidimensional data space according to the grid step size; Set a density threshold to obtain the number of data points within each rectangular grid. If the number of data points is greater than or equal to the density threshold, the corresponding rectangular grid is considered dense. Dense rectangular grids are labeled as clusters. If two clusters have adjacent rectangular grids, the two rectangular grids are merged into a new rectangular grid and labeled as a new cluster. If no two clusters have adjacent rectangular grids, output each cluster.

8. The analysis device for typical operation modes of a power transmission channel according to claim 5, characterized in that, The analysis of the cross-sectional characteristics under each typical operating mode after division also includes: For typical operating modes that require cross-sectional limit adjustment, obtain the cross-sectional power value and stability limit at each moment under the typical operating mode; The overload index for each moment is calculated based on the cross-sectional power value and stability limit. for: ； In the formula, They are time points The cross-sectional power value and stability limit; According to heavy load indicators Perform cross-sectional condition assessment: when At that time, the cross-sectional condition is under heavy load. when At that time, the cross-sectional condition was normal. when At that time, the cross-sectional condition was a lightly loaded condition; when At that time, the cross-sectional state is in the reverse state; Obtain the number of each cross-sectional state and the total number of all cross-sectional states, and calculate the proportion of each cross-sectional state. If the proportion of heavy load conditions is greater than 40%, and the proportion of light load conditions and reverse conditions is less than 10%, then the section limit will be increased.

9. An analysis device for typical operating modes of a power transmission channel, characterized in that, Including processor and storage media; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to perform the steps of the method according to any one of claims 1-4.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the method according to any one of claims 1-4.

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