Transformer area flexible interconnection matching method and device, medium, equipment and product

Abstract

The invention discloses a transformer area flexible interconnection matching method and device, a medium, equipment and a product. The method comprises the following steps: acquiring a target transformer area and a problem label and geographic coordinates thereof; by taking the geographic coordinate of the target transformer area as a center, screening out other transformer areas in the geographic range to form a first candidate transformer area set; eliminating the courts with the same preset red line labels as the target courts and / or the problem label severity level reaching a threshold value to obtain a second candidate court set; calculating a label score and a physical distance score of each transformer area in the second candidate transformer area set; and calculating a comprehensive matching degree according to the calculated label score and distance score, and selecting the transformer area with the highest comprehensive matching degree as a matching transformer area which is flexibly interconnected with the target transformer area. According to the method, the most suitable adjacent transformer area can be matched for the target transformer area for flexible interconnection, and the operation stability and the new energy consumption capability of the power distribution network are improved.

Description

Technical Field

[0001] This invention relates to a method, apparatus, medium, equipment, and product for flexible interconnection and matching of power distribution areas, belonging to the field of power system technology. Background Technology

[0002] With the large-scale integration of new energy sources and loads, such as distributed photovoltaic (PV) power and electric vehicle (EV) charging facilities, into distribution networks, the operating environment of distribution transformer areas is undergoing profound changes. The intermittent output and reverse power transmission of distributed PV systems can easily lead to power quality problems such as reverse overload and voltage exceeding limits in distribution areas. The disorderly charging behavior of EVs significantly exacerbates the peak-valley load difference, causing transformers to face prolonged heavy overload or even overload risks during peak hours. This not only threatens power supply reliability and equipment safety but also greatly increases the complexity of distribution network operation and management.

[0003] Taking a certain region as an example, as of the end of 2023, among the more than 80,000 distribution transformer areas, hundreds had problems with overloading or over-consumption, 1.72% of the transformer areas experienced photovoltaic power backflow, and 11.85% experienced outages. Therefore, developing technologies that can accurately and quickly identify problematic transformer areas and recommend coordinated operation strategies for them is of great significance for improving the resilience of the distribution network and promoting the consumption of new energy.

[0004] To address the aforementioned challenges, existing technologies include evaluation methods for the economic efficiency and anomaly identification of transformer substations. For example, invention patent CN111260198A discloses a method, system, and terminal equipment for judging the reasonableness of synchronous line loss in transformer substations. This method acquires basic attributes and operational monitoring data of the substations, filters static and dynamic evaluation indicators, and uses the DBSCAN density clustering algorithm to group the substations. It identifies potentially abnormal substations by comparing the average statistical line loss rate of similar substations. While this method is valuable for horizontal comparisons based on a single economic indicator like line loss, its evaluation dimension is limited. It fails to construct a comprehensive evaluation system covering multiple dimensions such as power supply reliability, power supply quality, and electricity consumption characteristics. Furthermore, it cannot provide specific interconnection matching solutions based on state complementarity and geographical proximity for identified problematic substations.

[0005] Existing technical solutions include methods for targeted deployment and capacity planning of energy storage resources. For example, invention patent CNCN119417205A discloses a method and system for energy storage site selection and capacity determination that considers the demand for energy storage in a transformer substation. It quantifies the severity of substation problems by defining indicators such as heavy overload and voltage anomalies, and uses this to determine the priority and capacity of energy storage access. While this method can assess the urgency of substation remediation and provide a basis for energy storage planning, its decision-making objective is single-point energy storage deployment, and it does not address the matching and selection issues of load sharing and energy complementarity between substations through flexible interconnection.

[0006] Existing technologies, when addressing the issue of coordinated operation of distribution substations under high-proportion renewable energy access, rely on single or unsystematic evaluation dimensions. This makes it difficult to comprehensively and quantitatively reflect the overall operational status of substations in terms of power supply reliability, quality, and electricity consumption characteristics. For the "diagnosis-treatment" model targeting individual substations, there is a lack of research on matching mechanisms for achieving "surplus-deficit mutual assistance" between substations through flexible interconnection. Furthermore, the key physical constraint of geographical proximity, which affects the economics and feasibility of interconnection projects, has not been fully considered. Consequently, it is difficult to effectively support the urgent need for distribution networks to achieve dynamic energy balance and operational optimization through flexible interconnection of substations. Summary of the Invention

[0007] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a method, device, medium, equipment, and product for flexible interconnection and matching of distribution transformer areas. This method enables the matching of the most suitable adjacent distribution transformer areas for flexible interconnection of a target distribution transformer area, thereby improving the stability of the distribution network operation and the capacity for renewable energy absorption. To achieve the above objective, this invention employs the following technical solution:

[0008] In a first aspect, the present invention provides a method for flexible interconnection and matching of transformer substations, comprising:

[0009] Obtain the target power distribution area, its problem tags, and geographical coordinates; wherein, the problem tags are generated by analyzing the historical energy consumption data of the target power distribution area using a preset evaluation system;

[0010] Using the geographical coordinates of the target transformer area as the center, other transformer areas within the geographical range are selected according to a preset distance threshold to form the first candidate transformer area set;

[0011] Based on the problem labels of each transformer area in the first candidate transformer area set, transformer areas that have the same preset red line label as the target transformer area and / or whose problem label severity level reaches the threshold are removed, thus obtaining the second candidate transformer area set.

[0012] Calculate the label score and physical distance score for each transformer station in the second candidate transformer station set; wherein, the label score is determined based on the problem label of the transformer station, and the physical distance score is determined based on the geographical coordinates of the transformer station and the target transformer station;

[0013] The overall matching degree is calculated based on the calculated tag score and distance score. The station with the highest overall matching degree is selected as the matching station for flexible interconnection with the target station.

[0014] In conjunction with the first aspect, optionally, the preset evaluation system is constructed through the following steps:

[0015] Based on the historical energy consumption data of the transformer substation, several evaluation indicators were determined to assess the operational status of the substation.

[0016] Multiple evaluation indicators are categorized to construct a multi-level evaluation structure that includes power supply reliability, power supply quality, and electricity consumption characteristics.

[0017] For each level in the multi-level evaluation structure, a judgment matrix is ​​established by comparing the importance of each pair of evaluation indicators within that level.

[0018] Calculate the largest eigenvalue and the corresponding eigenvector of the judgment matrix, and normalize the eigenvector to obtain the relative weights of each rating indicator within this level;

[0019] Based on the relative weights of each level in the multi-level evaluation structure, the combined weights of each evaluation index on the operating status of the transformer substation are calculated.

[0020] Based on the degree of impact reflected by the combined weights, problem labels with different severity levels are defined for the abnormal states of each evaluation indicator.

[0021] In conjunction with the first aspect, optionally, the step of defining problem labels with different severity levels for the abnormal states of each evaluation indicator based on the degree of influence reflected by the combined weights includes:

[0022] The combined weights of each evaluation indicator on the operating status of the transformer area are compared with the preset threshold range to determine the severity level of the problem label.

[0023] The severity levels of the problem labels include A, B, and C; the higher the combined weight, the higher the severity level of the corresponding problem label.

[0024] In conjunction with the first aspect, optionally, the preset red line label is an indicator used to identify factors affecting the operational stability between stations, including:

[0025] The target distribution area belongs to the same power supply line, and the proportion of the same single-phase users in the three-phase load exceeds the preset threshold.

[0026] In conjunction with the first aspect, optionally, the calculation of the label score for each transformer station in the second candidate transformer station set includes:

[0027] Based on the preset evaluation system, obtain the problem tags for each transformer area;

[0028] The corresponding deduction value is determined based on the severity level of the problem label;

[0029] The label score for each station area is obtained by deducting deductions from the preset base score.

[0030] In conjunction with the first aspect, optionally, a physical distance score is calculated, including:

[0031] The actual physical distance is calculated based on the geographical coordinates of the target transformer area and the geographical coordinates of each transformer area in the second candidate transformer area set.

[0032] The physical distance score is determined based on the mapping relationship between the actual physical distance and the physical distance score; the closer the actual physical distance, the higher the physical distance score.

[0033] In a second aspect, the present invention provides a flexible interconnection and matching device for transformer substations, comprising:

[0034] Acquisition module: used to acquire the target power distribution area, its problem tags, and geographical coordinates; wherein, the problem tags are generated by analyzing the historical energy consumption data of the target power distribution area using a preset evaluation system;

[0035] The first filtering module is used to filter out other transformer stations within the geographical range based on the geographical coordinates of the target transformer station and a preset distance threshold to form a first candidate transformer station set.

[0036] The second filtering module is used to remove, based on the problem labels of each transformer in the first candidate transformer set, transformers that have the same preset red line label as the target transformer and / or whose problem label severity level reaches the threshold, thus obtaining the second candidate transformer set.

[0037] Calculation module: used to calculate the label score and physical distance score of each transformer station in the second candidate transformer station set; wherein, the label score is determined based on the problem label of the transformer station, and the physical distance score is determined based on the geographical coordinates of the transformer station and the target transformer station;

[0038] Matching output module: It is used to calculate the comprehensive matching degree based on the calculated tag score and distance score, and select the station area with the highest comprehensive matching degree as the matching station area for flexible interconnection with the target station area.

[0039] Thirdly, the present invention provides a computer-readable storage medium having a computer program / instructions stored thereon, which, when executed by a processor, implement the steps of the method described in the first aspect.

[0040] Fourthly, the present invention provides a computer device, comprising:

[0041] Memory, used to store computer programs / instructions;

[0042] A processor for executing the computer program / instructions to implement the steps of the method described in the first aspect.

[0043] Fifthly, the present invention provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the method described in the first aspect.

[0044] Compared with the prior art, the beneficial effects achieved by the flexible interconnection and matching method, apparatus, medium, equipment and product for transformer substations provided in the embodiments of the present invention include:

[0045] This invention acquires target transformer substations, their problem tags, and geographic coordinates. The problem tags are generated by analyzing historical energy consumption data of the target substations using a pre-defined evaluation system. This invention transforms substation energy consumption data into unified, structured problem tags using a pre-defined evaluation system, overcoming the limitations of traditional methods that rely on manual experience or single indicators. This allows the operational defects of each substation to be standardized, quantitatively identified, and compared, providing reliable and consistent input for subsequent intelligent screening and matching.

[0046] This invention uses the geographical coordinates of the target transformer area as the center and filters out other transformer areas within the geographical range according to a preset distance threshold to form a first candidate transformer area set. This invention introduces geographical proximity into the matching method for the first time, which can ensure that the selected candidate transformer areas have the premise of flexible interconnection engineering implementation in physical space, control the line construction cost and operation loss, and avoid the matching results that may be "theoretically feasible but uneconomical in engineering" in traditional planning methods, making the results more practical.

[0047] This invention, based on the problem labels of each transformer station in the first candidate transformer station set, eliminates transformer stations with the same preset red line labels as the target transformer station and / or whose problem label severity level reaches a threshold, thus obtaining a second candidate transformer station set. This invention introduces a key risk filtering mechanism, using "red line labels" to exclude transformer stations that may amplify risks due to belonging to the same fault domain or having the same structural defects, and using "problem label severity level reaching a threshold" to exclude transformer stations whose own operation is already severely unstable. This invention can fundamentally prevent the systemic risks that may be caused by "weak interconnection", ensure the complementarity and synergy of flexible interconnection, and improve the overall operational stability and reliability of the interconnected system.

[0048] This invention calculates the label score and physical distance score of each transformer station in the second candidate transformer station set; calculates the comprehensive matching degree based on the calculated label score and distance score, and selects the transformer station with the highest comprehensive matching degree as the matching transformer station for flexible interconnection with the target transformer station; this invention unifies and quantifies the label score reflecting the difference in the operating status of transformer stations and the physical distance score reflecting the convenience of engineering implementation, realizing the objectivity and quantification of the matching process, and can accurately locate the best matching object within hundreds of meters of the target transformer station with stable operating status, with high matching accuracy;

[0049] This invention forms an automated closed loop from data input to optimal matching result output, enabling flexible interconnection of the most suitable adjacent distribution areas for the target distribution area, thereby improving the stability of the distribution network and the capacity for renewable energy absorption. This invention can quickly process data from tens of thousands of distribution areas, automatically perform filtering, scoring, and sorting, and output clear optimal recommendations, freeing power grid planners from tedious manual comparisons and complex technical and economic trade-offs, greatly improving decision-making efficiency, and providing practical technical support for the large-scale promotion of a new power grid form with flexible distribution area interconnection. Attached Figure Description

[0050] Figure 1 This is a flowchart illustrating a flexible interconnection and matching method for transformer substations according to Embodiment 1 of the present invention. Detailed Implementation

[0051] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0052] Example 1:

[0053] This embodiment provides a method for flexible interconnection and matching of power distribution areas, including:

[0054] Obtain the target power distribution area, its problem tags, and geographical coordinates; wherein, the problem tags are generated by analyzing the historical energy consumption data of the target power distribution area using a preset evaluation system;

[0055] Using the geographical coordinates of the target transformer area as the center, other transformer areas within the geographical range are selected according to a preset distance threshold to form the first candidate transformer area set;

[0056] Based on the problem labels of each transformer area in the first candidate transformer area set, transformer areas that have the same preset red line label as the target transformer area and / or whose problem label severity level reaches the threshold are removed, thus obtaining the second candidate transformer area set.

[0057] Calculate the label score and physical distance score for each transformer station in the second candidate transformer station set; wherein, the label score is determined based on the problem label of the transformer station, and the physical distance score is determined based on the geographical coordinates of the transformer station and the target transformer station;

[0058] The overall matching degree is calculated based on the calculated tag score and distance score. The station with the highest overall matching degree is selected as the matching station for flexible interconnection with the target station.

[0059] like Figure 1 As shown, the specific steps are as follows.

[0060] Step 1: Obtain the target station area, its problem label, and geographic coordinates.

[0061] The historical energy consumption data of the target transformer area is analyzed using a pre-set evaluation system to generate problem tags.

[0062] The pre-designed evaluation system uses the Analytic Hierarchy Process (AHP) to quantify the complex operating status of transformer substations, and is constructed through the following steps:

[0063] Step a: Based on the historical energy consumption data of the transformer substation, determine multiple evaluation indicators for assessing the operating status of the substation.

[0064] In this embodiment, multiple evaluation indicators include, but are not limited to: number of power outages, power outage duration, voltage deviation, three-phase imbalance, load rate, and load curve shape.

[0065] Step b: Classify multiple evaluation indicators to construct a multi-level evaluation structure that includes power supply reliability, power supply quality, and power consumption characteristics.

[0066] In this embodiment, a three-level evaluation structure is constructed: "target layer (energy quality evaluation of transformer area) → criterion layer (B1 power supply reliability, B2 power supply quality, B3 power consumption characteristics) → indicator layer (specific indicators)".

[0067] Step c: Calculate the indicator weights.

[0068] For each level in the multi-level evaluation structure, a judgment matrix is ​​established by comparing the importance of each pair of evaluation indicators within that level.

[0069] In this embodiment, the pairwise importance of the B1 power supply reliability, B2 power supply quality, and B3 power consumption characteristics of the criterion layer is compared to establish a judgment matrix as shown in Table 1.

[0070] Table 1 Judgment Matrix

[0071]

[0072] Calculate the largest eigenvalue and the corresponding eigenvector of the judgment matrix, and normalize the eigenvector to obtain the relative weights of each rating indicator within this level.

[0073] In this embodiment, the largest eigenvalue of the judgment matrix is ​​calculated. and the corresponding feature vectors It can be expressed by the following formula:

[0074] ,

[0075] Where is the judgment matrix. For feature vectors, , The weighting coefficient represents the relative importance of the three indicator elements (B1 power supply reliability, B2 power supply quality, and B3 power consumption characteristics).

[0076] Use the square root method to find the judgment matrix eigenvectors , The weight vector, composed of the weights of elements at the same level, is calculated by multiplying the weights of each row of the judgment matrix, and is expressed by the following formula:

[0077] .

[0078] calculate The nth root is expressed by the following formula:

[0079] ,

[0080] vector Normalization is expressed by the following formula:

[0081] ,

[0082] but This is the desired eigenvector.

[0083] The maximum eigenvalue is calculated using the following formula:

[0084] ,

[0085] in, for The i-th element.

[0086] The consistency index CI, the average random consistency index RI, and the consistency ratio CR are introduced to determine the consistency of the matrix.

[0087] Based on the relative weights of each level in the multi-level evaluation structure, the combined weights of each evaluation index on the operating status of the transformer substation are calculated.

[0088] Based on the degree of impact reflected by the combined weights, problem labels with different severity levels are defined for the abnormal states of each evaluation indicator.

[0089] Specifically, the combined weights of each evaluation indicator on the operating status of the transformer substation are compared with a preset threshold range to determine the severity level of the problem label.

[0090] It should be noted that in this embodiment, the severity levels of the problem label include A, B, and C; the higher the combined weight, the higher the severity level of the corresponding problem label.

[0091] This embodiment utilizes a pre-defined evaluation system to transform the energy consumption data of the transformer substation into unified and structured problem labels. This breaks through the limitations of traditional methods that rely on manual experience or single indicators, enabling the operational defects of each transformer substation to be standardized, quantitatively identified, and compared. This provides a reliable and consistent input for subsequent intelligent screening and matching.

[0092] Step 2: Using the geographical coordinates of the target transformer area as the center, select other transformer areas within the geographical range according to the preset distance threshold to form the first candidate transformer area set.

[0093] Set a distance threshold i (e.g., a latitude and longitude difference of 0.005 degrees, approximately corresponding to a ground distance of 500 meters). Use the latitude and longitude of the target monitoring area... Define a rectangular filtering area centered on the target: All other transformer substations within this geographical area are then selected to form the first candidate substation set. This step ensures that the substations matched subsequently have the physical prerequisites for engineering interconnection.

[0094] This embodiment introduces geographical proximity into the matching method for the first time, which can ensure that the selected candidate transformer areas have the prerequisites for the implementation of flexible interconnection projects in physical space, control the construction cost and operation loss of the lines, and avoid the matching results that may be "theoretically feasible but uneconomical in engineering" in traditional planning methods, making the results more practical.

[0095] Step 3: Based on the problem labels of each transformer station in the first candidate transformer station set, remove transformer stations that have the same preset red line label as the target transformer station and / or whose problem label severity level reaches the threshold, to obtain the second candidate transformer station set.

[0096] The red line label is used to identify indicators that affect the operational stability of the transformer substation, including: belonging to the same power supply line as the target substation, and the proportion of the same single-phase users in the three-phase load exceeding a preset threshold.

[0097] Specifically, red-line labels may trigger cascading risks or extreme situations where mutual assistance cannot be achieved, such as: "belonging to the same 10kV power supply line as the target distribution area" or "the proportion of the same single-phase users in the three-phase load exceeds 50%". Removing distribution areas with the same preset red-line labels as the target distribution area can avoid exposing them to the same upstream fault risk or failing to resolve phase imbalance problems after interconnection.

[0098] Stations with problem label severity levels reaching a threshold are removed; in this embodiment, this means stations with problem label severity level A.

[0099] The problem is classified as Level A, indicating that the transformer substation itself has serious operational defects (such as frequent power outages, severe overload, etc.). The substation does not have the ability to serve as a stable support point to complement and support the target substation, and interconnection may actually exacerbate system instability.

[0100] This embodiment introduces a key risk filtering mechanism. It excludes transformer substations that might amplify risks due to belonging to the same fault domain or having the same structural defects by using "red line labels," and excludes substations whose operation is already severely unstable by using "problem label severity level reaching a threshold." The substations in the second candidate substation set are geographically adjacent, have no fundamental conflict with the target substation, and do not have serious operational problems, thus meeting the basic requirements to become interconnection partners.

[0101] This embodiment can fundamentally prevent the systemic risks that may be caused by "weak-weak interconnection", ensure the complementarity and synergy of flexible interconnection, and improve the overall operational stability and reliability of the interconnected system.

[0102] Step 4: Calculate the label score and physical distance score of each station in the second candidate station set.

[0103] Step 4.1: Based on the problem labels of the transformer substations, calculate the label score for each substation in the second candidate substation set, including:

[0104] Based on the preset evaluation system, obtain the problem tags for each transformer area;

[0105] The corresponding deduction value is determined based on the severity level of the problem label;

[0106] The label score for each station area is obtained by deducting deductions from the preset base score.

[0107] For example, with a preset base score of 100 points, all problem tags for the affected area are iterated through. Based on the type and severity level (A / B / C), the corresponding deduction value is found from a preset deduction rule table. In this embodiment, level A deducts 15 points, level B deducts 8 points, and level C deducts 3 points. All deduction values ​​are cumulatively deducted from the base score (100 points), and the remaining score is the tag score for that affected area. The higher the score, the more stable and healthy the overall operation of the affected area, and the stronger its ability to serve as a support point.

[0108] Step 4.2: Physical distance scoring is determined based on the geographical coordinates of the current and target areas. The physical distance score is calculated, including:

[0109] The actual physical distance is calculated based on the geographical coordinates of the target transformer area and the geographical coordinates of each transformer area in the second candidate transformer area set, and is expressed by the following formula:

[0110] ,

[0111] The latitude and longitude coordinates of target area A are: The latitude and longitude coordinates of station B in the second candidate station set are: ; The actual physical distance between target transformer area A and transformer area B in the second candidate transformer area set; Let be the Earth's radius, averaging 6371 km. Then the formula simplifies to:

[0112] .

[0113] The physical distance score is determined based on the mapping relationship between the actual physical distance and the physical distance rating. The closer the actual physical distance, the higher the physical distance rating.

[0114] Step 5: Calculate the overall matching degree based on the calculated tag score and distance score, and select the station area with the highest overall matching degree as the matching station area for flexible interconnection with the target station area.

[0115] In this embodiment, weighting coefficients are configured for the tag score and the physical distance score respectively. For example, the tag score weight α=0.7 and the physical distance score weight β=0.3, reflecting the emphasis on the complementarity of the operating states.

[0116] The overall matching degree is calculated by weighting the tag score and physical distance score based on the weight coefficient, and is expressed as: Overall matching degree = α * tag score + β * physical distance score.

[0117] This embodiment unifies and quantifies the label score reflecting the difference in the operating status of the transformer substation and the physical distance score reflecting the convenience of engineering implementation, realizing the objectivity and quantification of the matching process. It can accurately locate the best matching object within hundreds of meters of the target transformer substation and with a stable operating status, resulting in high matching accuracy.

[0118] This embodiment can quickly process data from tens of thousands of distribution areas, automatically perform filtering, scoring, and sorting, and output clear optimal recommendations. It frees power grid planners from tedious manual comparisons and complex technical and economic trade-offs, greatly improves decision-making efficiency, and provides practical technical support for the large-scale promotion of a new power grid form with flexible interconnection of distribution areas.

[0119] Example 2:

[0120] Based on the flexible interconnection matching method for transformer substations provided in Embodiment 1, this embodiment takes the "**Xiatang 29# Xielu North Distribution Transformer" (problem tags: severe overload of maximum annual load rate - Class A, high average annual load rate - Class B) in a certain area as the target transformer substation and performs flexible interconnection matching for the transformer substation.

[0121] Execute step 2 of embodiment 1, using the geographical coordinates of the target transformer area as the center, and filter out other transformer areas within the geographical range according to a preset distance threshold (1.1km in this embodiment) to form the first candidate transformer area set, as shown in Table 2.

[0122] Table 2 Set of First Candidate Transmission Areas

[0123]

[0124] Execute step 3 of embodiment 1, based on the problem labels of each transformer area in the first candidate transformer area set, remove transformer areas that have the same preset red line label as the target transformer area and / or whose problem label severity level reaches the threshold, to obtain the second candidate transformer area set.

[0125] Perform step 4 of Example 1 to calculate the label score and physical distance score of each station in the second candidate station set; wherein, the label score is determined based on the problem label of the station, and the physical distance score is determined based on the geographical coordinates of the station and the target station.

[0126] Perform step 5 of Example 1, calculate the overall matching degree based on the calculated tag score and distance score, as shown in Table 3.

[0127]

[0128] The transformer substation with the highest overall matching degree is selected. In this embodiment, the "**first-of-its-kind No. 9 small kiln transformer" is selected as the matching transformer substation for flexible interconnection with the target transformer substation.

[0129] In summary, the flexible interconnection matching method for distribution substations provided in Example 1 forms an automated closed loop from data input to optimal matching result output. It can match the most suitable adjacent distribution substations for flexible interconnection of the target distribution substation, thereby improving the stability of the distribution network operation and the capacity for renewable energy absorption.

[0130] Example 3:

[0131] This embodiment provides a flexible interconnection and matching device for power distribution areas, including:

[0132] Acquisition module: used to acquire the target power distribution area, its problem tags, and geographical coordinates; wherein, the problem tags are generated by analyzing the historical energy consumption data of the target power distribution area using a preset evaluation system;

[0133] The first filtering module is used to filter out other transformer stations within the geographical range based on the geographical coordinates of the target transformer station and a preset distance threshold to form a first candidate transformer station set.

[0134] The second filtering module is used to remove, based on the problem labels of each transformer in the first candidate transformer set, transformers that have the same preset red line label as the target transformer and / or whose problem label severity level reaches the threshold, thus obtaining the second candidate transformer set.

[0135] Calculation module: used to calculate the label score and physical distance score of each transformer station in the second candidate transformer station set; wherein, the label score is determined based on the problem label of the transformer station, and the physical distance score is determined based on the geographical coordinates of the transformer station and the target transformer station;

[0136] Matching output module: It is used to calculate the comprehensive matching degree based on the calculated tag score and distance score, and select the station area with the highest comprehensive matching degree as the matching station area for flexible interconnection with the target station area.

[0137] Example 4:

[0138] This embodiment provides a computer-readable storage medium storing a computer program / instructions thereon, which, when executed by a processor, implements the steps of the method described in Embodiment 1.

[0139] Example 5:

[0140] This embodiment provides a computer device, including:

[0141] Memory, used to store computer programs / instructions;

[0142] A processor for executing the computer program / instructions to implement the steps of the method described in Embodiment 1.

[0143] Example 6:

[0144] This embodiment provides a computer program product, including a computer program / instructions, which, when executed by a processor, implement the steps of the method described in Embodiment 1.

[0145] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0146] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. 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, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0147] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0148] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0149] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A method for flexible interconnection and matching of transformer substations, characterized in that, include: Obtain the target power distribution area, its problem tags, and geographical coordinates; wherein, the problem tags are generated by analyzing the historical energy consumption data of the target power distribution area using a preset evaluation system; Using the geographical coordinates of the target transformer area as the center, other transformer areas within the geographical range are selected according to a preset distance threshold to form the first candidate transformer area set; Based on the problem labels of each transformer area in the first candidate transformer area set, transformer areas that have the same preset red line label as the target transformer area and / or whose problem label severity level reaches the threshold are removed, thus obtaining the second candidate transformer area set. Calculate the label score and physical distance score for each transformer station in the second candidate transformer station set; wherein, the label score is determined based on the problem label of the transformer station, and the physical distance score is determined based on the geographical coordinates of the transformer station and the target transformer station; The overall matching degree is calculated based on the calculated tag score and distance score. The station with the highest overall matching degree is selected as the matching station for flexible interconnection with the target station.

2. The flexible interconnection and matching method for transformer substations according to claim 1, characterized in that, The preset evaluation system is constructed through the following steps: Based on the historical energy consumption data of the transformer substation, several evaluation indicators were determined to assess the operational status of the substation. Multiple evaluation indicators are categorized to construct a multi-level evaluation structure that includes power supply reliability, power supply quality, and electricity consumption characteristics. For each level in the multi-level evaluation structure, a judgment matrix is ​​established by comparing the importance of each pair of evaluation indicators within that level. Calculate the largest eigenvalue and the corresponding eigenvector of the judgment matrix, and normalize the eigenvector to obtain the relative weights of each rating indicator within this level; Based on the relative weights of each level in the multi-level evaluation structure, the combined weights of each evaluation index on the operating status of the transformer substation are calculated. Based on the degree of impact reflected by the combined weights, problem labels with different severity levels are defined for the abnormal states of each evaluation indicator.

3. The flexible interconnection and matching method for transformer substations according to claim 2, characterized in that, The method defines problem labels with different severity levels for the abnormal states of each evaluation indicator based on the degree of influence reflected by the combined weights, including: The combined weights of each evaluation indicator on the operating status of the transformer area are compared with the preset threshold range to determine the severity level of the problem label. The severity levels of the problem labels include A, B, and C; the higher the combined weight, the higher the severity level of the corresponding problem label.

4. The flexible interconnection and matching method for transformer substations according to claim 1, characterized in that, The preset red line label is used to identify indicators that affect the operational stability between stations, including: The target distribution area belongs to the same power supply line, and the proportion of the same single-phase users in the three-phase load exceeds the preset threshold.

5. The flexible interconnection and matching method for transformer substations according to claim 1, characterized in that, The calculation of the label score for each transformer station in the second candidate transformer station set includes: Based on the preset evaluation system, obtain the problem tags for each transformer area; The corresponding deduction value is determined based on the severity level of the problem label; The label score for each station area is obtained by deducting deductions from the preset base score.

6. The flexible interconnection and matching method for transformer substations according to claim 1, characterized in that, Calculating the physical distance score includes: The actual physical distance is calculated based on the geographical coordinates of the target transformer area and the geographical coordinates of each transformer area in the second candidate transformer area set. The physical distance score is determined based on the mapping relationship between the actual physical distance and the physical distance score; the closer the actual physical distance, the higher the physical distance score.

7. A flexible interconnection and matching device for transformer substations, characterized in that, include: Acquisition module: used to acquire the target power distribution area, its problem tags, and geographical coordinates; wherein, the problem tags are generated by analyzing the historical energy consumption data of the target power distribution area using a preset evaluation system; The first filtering module is used to filter out other transformer stations within the geographical range based on the geographical coordinates of the target transformer station and a preset distance threshold to form a first candidate transformer station set. The second filtering module is used to remove, based on the problem labels of each transformer in the first candidate transformer set, transformers that have the same preset red line label as the target transformer and / or whose problem label severity level reaches the threshold, thus obtaining the second candidate transformer set. Calculation module: used to calculate the label score and physical distance score of each transformer station in the second candidate transformer station set; wherein, the label score is determined based on the problem label of the transformer station, and the physical distance score is determined based on the geographical coordinates of the transformer station and the target transformer station; Matching output module: It is used to calculate the comprehensive matching degree based on the calculated tag score and distance score, and select the station area with the highest comprehensive matching degree as the matching station area for flexible interconnection with the target station area.

8. A computer-readable storage medium having a computer program / instructions stored thereon, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method described in any one of claims 1-6.

9. A computer device, characterized in that, include: Memory, used to store computer programs / instructions; A processor for executing the computer program / instructions to implement the steps of the method according to any one of claims 1-6.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method described in any one of claims 1-6.

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