An all-voltage-level substation power supply capacity intelligent analysis method and system, computer equipment and storage medium

Abstract

The application relates to the technical field of intelligent analysis, and discloses a full-voltage-grade transformer substation power supply capacity intelligent analysis method and system, computer equipment and a storage medium, which can realize intelligent and automatic analysis of the transformer substation power supply capacity, save time and labor, improve overall efficiency, are not interfered by human factors, reduce errors, and even avoid errors, the accuracy of analysis results is effectively guaranteed, and the high real-time characteristic can help power supply management departments timely capture the change of the power grid state and make effective responses, so that the high-standard requirements of modern power grid management on efficiency and accuracy can be met.

Description

Technical Field

[0001] The present invention relates to the field of intelligent analysis technology, and in particular to a method, system, computer equipment and storage medium for intelligent analysis of power supply capacity of a full-voltage-level substation. Background Art

[0002] With the accelerating pace of urbanization worldwide, especially in regions with frequent economic activity and rapid development, the dual forces of industrialization and urbanization have jointly driven an unprecedented and continuously rising growth trend in electricity demand. As a key factor in supporting the comprehensive development of the economy and society, the stability and efficiency of power supply operations directly and profoundly affect the pace of urban economic development and the improvement of the quality of life of the majority of residents. However, with the continuous expansion and increasing complexity of the power grid system, power supply management departments are facing a series of severe challenges: how to ensure the absolute reliability of power supply and effectively meet the growing and changing power consumption demand in such a highly complex and changing power supply network environment has become a key issue that needs to be addressed urgently.

[0003] Currently, power supply management departments still rely primarily on traditional methods to analyze power supply capacity. This involves meticulously reviewing detailed records of each substation in the power grid and conducting comprehensive assessments based on the substation's current load conditions. This method is not only time-consuming and labor-intensive, with low overall efficiency, but is also highly susceptible to human interference, making it difficult to ensure the accuracy of the analysis results. In practice, data entry errors and calculation discrepancies often occur. Coupled with its poor real-time performance, power supply management departments struggle to timely capture changes in grid status and respond effectively. With the increasing maturity and widespread application of big data and automation technologies, this traditional analysis method is clearly no longer able to meet the high standards of efficiency and accuracy required by modern power grid management.

[0004] Therefore, there is a need to improve the existing technology.

[0005] The above information is presented as background information only to assist with an understanding of the present disclosure and is not a determination or admission that any of the above may be applicable as prior art with respect to the present disclosure. Summary of the Invention

[0006] The present invention provides a method, system, computer equipment and storage medium for intelligent analysis of power supply capacity of a full-voltage-level substation, so as to solve the problems existing in the prior art.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] In a first aspect, the present invention provides a method for intelligently analyzing power supply capacity of a full-voltage-level substation, the method comprising:

[0009] S101. Collect data, including current load data, planned project data, user registration data, and power system topology data;

[0010] S102, counting the number of users who applied for the device after the base year, and determining whether the number of applications is greater than 0; if so, executing step S103, then executing step S105; if not, executing step S104, then executing step S105;

[0011] S103. Calculate the predicted load using the following formula:

[0012] Forecast load = last year's load × (1 + natural growth rate) + total reported capacity;

[0013] S104. Calculate the predicted load using the following formula:

[0014] Forecast load = last year's load × (1 + natural growth rate);

[0015] S105. Based on the predicted load, all 110KV substation main transformers are selected for further analysis;

[0016] S106, calculating the load rate of each 110KV substation main transformer and determining whether the load rate exceeds a first preset threshold; if not, executing step S107, then executing step S111; if so, executing step S108;

[0017] S107, no transfer of supply;

[0018] S108, determining whether the load rate exceeds a second preset threshold; the second preset threshold is greater than the first preset threshold; if so, executing step S109, then executing step S111; if not, executing step S110, then executing step S111;

[0019] S109, transferring power from another substation whose load rate does not exceed the first preset threshold;

[0020] S110, the power is transferred from other substations whose load exceeds the first preset threshold but does not exceed the second preset threshold;

[0021] S111. Based on the load rate, select all 110kV substation main transformers for further analysis;

[0022] S112, detecting and judging whether the newly-built substation does not undertake load; if yes, executing step S113, and then executing step S115; if no, executing step S114, and then executing step S115;

[0023] S113, distributing the predicted load corresponding to the newly-built substation which does not undertake load to other substations evenly, and transferring power supply by other substations;

[0024] S114, undertaking the load corresponding to the newly-built substation by the newly-built substation;

[0025] S115, summarizing the analysis results.

[0026] Further, in the intelligent analysis method for power supply capacity of the substation of all voltage grades, step S101 specifically comprises:

[0027] collecting data, wherein the data comprises present load data, planning engineering data, user installation data and topological structure data of the power system;

[0028] The present load data is actual load data of each substation in a base year.

[0029] The planning engineering data is power transmission and transformation engineering data planned after the base year, including newly-built substations and line upgrading and reconstruction.

[0030] The user installation data is user installation data after the base year, including installation capacity of each user and access substation information.

[0031] The topological structure data of the power system is connection relationship of all substations, distribution transformers and lines.

[0032] Further, in the intelligent analysis method for power supply capacity of the substation of all voltage grades, the step of collecting data, wherein the data comprises present load data, planning engineering data, user installation data and topological structure data of the power system, comprises:

[0033] collecting data at regular intervals, wherein the data comprises present load data, planning engineering data, user installation data and topological structure data of the power system.

[0034] Further, in the intelligent analysis method for power supply capacity of the substation of all voltage grades, before step S101, the method further comprises:

[0035] setting a base year as a starting point of data collection and analysis.

[0036] Further, in the intelligent analysis method for power supply capacity of the substation of all voltage grades, the first preset threshold is 80%, and the second preset threshold is 100%.

[0037] Furthermore, in the intelligent analysis method for power supply capacity of full-voltage-level substations, step S115 specifically includes:

[0038] Based on the above analysis results, the power system topology data for the forecast year is summarized;

[0039] Collect the predicted load data of each 110kV substation main transformer;

[0040] Collect statistics on the load rate data of the main transformer of each 110kV substation.

[0041] Furthermore, in the intelligent analysis method of power supply capacity of full voltage level substations, after step S115, the method further includes:

[0042] Output power supply capability analysis diagram.

[0043] In a second aspect, the present invention provides an intelligent analysis system for power supply capacity of a full-voltage substation. The system includes several functional modules that cooperate with each other to achieve:

[0044] S101. Collect data, including current load data, planned project data, user registration data, and power system topology data;

[0045] S102, counting the number of users who applied for the device after the base year, and determining whether the number of applications is greater than 0; if so, executing step S103, then executing step S105; if not, executing step S104, then executing step S105;

[0046] S103. Calculate the predicted load using the following formula:

[0047] Forecast load = last year's load × (1 + natural growth rate) + total reported capacity;

[0048] S104. Calculate the predicted load using the following formula:

[0049] Forecast load = last year's load × (1 + natural growth rate);

[0050] S105. Based on the predicted load, all 110KV substation main transformers are selected for further analysis;

[0051] S106, calculating the load rate of each 110KV substation main transformer and determining whether the load rate exceeds a first preset threshold; if not, executing step S107, then executing step S111; if so, executing step S108;

[0052] S107, no transfer of supply;

[0053] S108, determining whether the load rate exceeds a second preset threshold; the second preset threshold is greater than the first preset threshold; if so, executing step S109, then executing step S111; if not, executing step S110, then executing step S111;

[0054] S109, transferring power from another substation whose load rate does not exceed the first preset threshold;

[0055] S110, the power is transferred from other substations whose load exceeds the first preset threshold but does not exceed the second preset threshold;

[0056] S111. Based on the load rate, select all 110kV substation main transformers for further analysis;

[0057] S112, detecting and determining whether the newly built substation does not bear the load; if so, executing step S113, then executing step S115; if not, executing step S114, then executing step S115;

[0058] S113, evenly distributing the predicted load corresponding to the newly built substation that does not undertake the load to other substations, which then transfer the load;

[0059] S114. The newly built substation will take over the corresponding load;

[0060] S115. Summarize the above analysis results.

[0061] In a third aspect, the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the intelligent analysis method for power supply capacity of full-voltage level substations provided in the first aspect above.

[0062] In a fourth aspect, the present invention provides a storage medium containing computer-executable instructions, which are executed by a computer processor to implement the intelligent analysis method for power supply capacity of full-voltage level substations provided in the first aspect above.

[0063] Compared with the prior art, the present invention has the following beneficial effects:

[0064] The present invention provides a method, system, computer equipment and storage medium for intelligent analysis of the power supply capacity of substations at all voltage levels, which can realize intelligent and automatic analysis of the power supply capacity of substations. It not only saves time and effort and improves overall efficiency, but also is no longer subject to interference from human factors, so that errors are reduced or even avoided, and the accuracy of the analysis results is effectively guaranteed. In addition, its high real-time characteristics enable power supply management departments to capture changes in the power grid status in a timely manner and make effective responses, which is conducive to adapting to the high standards of modern power grid management for efficiency and accuracy.

[0065] The present invention has other features and advantages that will be apparent from or will be described in detail in the accompanying drawings and the following detailed description incorporated herein, which together serve to explain certain principles of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0067] Figure 1 This is a flow chart of a method for intelligently analyzing power supply capacity of a full-voltage substation provided in the first embodiment of the present invention;

[0068] Figure 2 This is a structural diagram of a computer device provided in Example 3 of the present invention. DETAILED DESCRIPTION

[0069] In order to explain in detail the possible application scenarios, technical principles, specific solutions that can be implemented, and the purpose and effects of this application, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of this application and are therefore only examples and are not intended to limit the scope of protection of this application.

[0070] References to "embodiments" herein mean that the specific features, structures, or characteristics described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the word "embodiment" in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or relevance to other embodiments. In principle, in this application, as long as there are no technical contradictions or conflicts, the various technical features mentioned in the embodiments can be combined in any manner to form a corresponding implementable technical solution.

[0071] Unless otherwise defined, the technical terms used herein have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms herein is only for describing specific embodiments and is not intended to limit this application.

[0072] In the description of this application, the term "and / or" is used to describe a logical relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A exists, B exists, and both A and B exist. In addition, the character " / " in this document generally indicates that the objects before and after are in a logical "or" relationship.

[0073] In this application, terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual quantity, priority or sequence relationship between these entities or operations.

[0074] Without further limitations, in this application, the words "include", "comprise", "have" or other similar expressions used in the sentences are intended to cover non-exclusive inclusion. These expressions do not exclude the presence of additional elements in the process, method or product including the elements, so that the process, method or product including a series of elements may include not only those defined elements, but also other elements not explicitly listed, or elements inherent to such process, method or product.

[0075] In this application, expressions such as "greater than," "less than," and "exceed" are understood to exclude the number itself; expressions such as "above," "below," and "within" are understood to include the number itself. In addition, in the description of the embodiments of this application, "multiple" means two or more (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups" and "multiple times," unless otherwise specifically limited.

[0076] In the description of the embodiments of the present application, the space-related expressions used, such as "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or position relationship based on the orientation or position relationship shown in the specific embodiments or drawings, and are only for the convenience of describing the specific embodiments of the present application or facilitating the reader's understanding, and do not indicate or imply that the device or component referred to must have a specific position, a specific orientation, or be constructed or operated in a specific orientation. Therefore, it should not be understood as a limitation on the embodiments of the present application.

[0077] Unless otherwise expressly specified or limited, in the description of the embodiments of the present application, the terms "installed", "connected", "connected", "fixed", "set", etc. used should be understood in a broad sense. For example, the "connection" can be a fixed connection, a detachable connection, or an integrated setting; it can be a mechanical connection, an electrical connection, or a communication connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. For those skilled in the art of the present application, the specific meanings of the above terms in the embodiments of the present application can be understood according to the specific circumstances.

[0078] Example 1

[0079] In view of the aforementioned deficiencies in the prior art, the applicant, drawing upon years of extensive practical experience and expertise in this field, combined with the application of scientific knowledge, has actively engaged in research and innovation, hoping to create a technology that can address these deficiencies. Through continuous research and design, and through repeated trial production and improvements, the present invention has been developed, which possesses truly practical value.

[0080] Please refer to Figure 1 , is a flow chart of a method for intelligently analyzing the power supply capacity of a full-voltage substation provided in Example 1 of the present invention. The method is executed by an intelligent analysis system for the power supply capacity of a full-voltage substation, which can be implemented by software and / or hardware. The method specifically includes the following steps:

[0081] S101. Collect data, including current load data, planned project data, user registration data, and power system topology data.

[0082] It should be noted that this step collects a wide range of necessary information, including current load data, planned project data, user registration data, and power system topology data, laying a solid foundation for subsequent analysis.

[0083] S102. Count the number of users who have registered after the base year and determine whether the number of registered users is greater than 0; if so, execute step S103 and then execute step S105; if not, execute step S104 and then execute step S105.

[0084] It should be noted that this step counts the number of user applications after the base year and makes a preliminary judgment based on this number. If the number of applications is greater than 0, then continue to step S103 and then proceed to step S105; otherwise, execute step S104 and also proceed to step S105.

[0085] S103. Calculate the predicted load using the following formula:

[0086] Forecasted load = last year's load × (1 + natural growth rate) + total reported capacity.

[0087] It should be noted that when the reported quantity is greater than 0, the following formula is used to calculate the predicted load: predicted load = last year's load × (1 + natural growth rate) + total reported capacity.

[0088] S104. Calculate the predicted load using the following formula:

[0089] Forecasted load = last year's load × (1 + natural growth rate).

[0090] It should be noted that if the reported quantity is 0, the forecast will be based only on last year's load and natural growth rate. The formula is: predicted load = last year's load × (1 + natural growth rate).

[0091] S105. Based on the predicted load, all 110KV substation main transformers are selected for further analysis.

[0092] It should be noted that this step screens out the main transformers of all 110KV substations based on the predicted load results for subsequent in-depth analysis.

[0093] S106. Calculate the load rate of each 110KV substation main transformer and determine whether the load rate exceeds a first preset threshold; if not, execute step S107, then execute step S111; if yes, execute step S108.

[0094] It should be noted that this step calculates the load factor of each selected 110kV substation main transformer and determines whether it exceeds the first preset threshold. If not, step S107 is executed and then step S111 is entered; if it exceeds, step S108 is executed for further determination.

[0095] S107, no transfer of supply.

[0096] It should be noted that, in this step, for the main transformer of the substation whose load rate does not exceed the first preset threshold, the system decides not to perform the power transfer operation.

[0097] S108. Determine whether the load rate exceeds a second preset threshold; the second preset threshold is greater than the first preset threshold; if so, execute step S109, then execute step S111; if not, execute step S110, then execute step S111.

[0098] S109: The power is transferred from other substations whose load rates do not exceed the first preset threshold.

[0099] S110. The power is transferred from other substations whose load exceeds the first preset threshold but does not exceed the second preset threshold.

[0100] It should be noted that the system continues to determine whether the load factor exceeds a second preset threshold (which is higher than the first preset threshold). If so, step S109 is executed, and power is transferred from other substations whose load factors do not exceed the first preset threshold. If power is not exceeded but exceeds the first preset threshold, step S110 is executed, and power is transferred from other substations whose load factors fall between the first and second preset thresholds. After the determination is complete, the process proceeds to step S111.

[0101] S111. Based on the load rate, select all 110KV substation main transformers for further analysis.

[0102] It should be noted that, based on the load rate, the system again screens out the main transformers of all 110KV substations for subsequent analysis.

[0103] S112. Detect and determine whether the newly built substation does not bear the load; if so, execute step S113, then execute step S115; if not, execute step S114, then execute step S115.

[0104] It should be noted that the system detects and determines whether the newly built substation has taken over the load. If so, step S113 is executed and then step S115 is entered; if not, step S114 is executed and then step S115 is also entered.

[0105] S113. The predicted load corresponding to the newly built substation that does not take on the load is evenly distributed to other substations, which then transfer the load.

[0106] It should be noted that for newly built substations that have not yet taken on the load, the system will evenly distribute the corresponding predicted load to other substations, which will then transfer the load.

[0107] S114. The newly built substation will take over the corresponding load.

[0108] It should be noted that if the newly built substation has already taken over its corresponding load, this step can be directly executed and the substation will bear the responsibility.

[0109] S115. Summarize the above analysis results.

[0110] It should be noted that the system will summarize and organize all analysis results to form a final report.

[0111] The embodiment of the present application realizes intelligent automatic analysis of power supply capacity of a transformer substation, significantly improves work efficiency, reduces labor cost, effectively avoids interference of human factors, and ensures accuracy of analysis results. Meanwhile, the high real-time characteristic enables a power supply management department to quickly capture changes of a power grid state and make timely and effective response, thereby fully meeting high standard requirements of modern power grid management on efficiency and accuracy.

[0112] In an implementation form of the embodiment, step S101 specifically comprises:

[0113] collecting data, wherein the data comprises current load data, planning engineering data, user installation data, and topological structure data of the power system;

[0114] The current load data is actual load data of each transformer substation in a base year. These data are crucial for understanding the running state, load distribution, and change trend of the current power grid.

[0115] The planning engineering data is power transmission and transformation engineering data planned after the base year, including newly-built transformer substations and line upgrading and reconstruction. These information plays a key role in predicting changes of the future power grid structure, evaluating added power supply capacity, and optimizing resource allocation.

[0116] The user installation data is user installation data after the base year, including installation capacity of each user and access transformer substation information. These data are of great significance for analyzing the growth trend of user electricity demand, predicting future load distribution, and formulating corresponding power supply strategies.

[0117] The topological structure data of the power system is connection relationship of all transformer substations, distribution transformers, and lines. These data are crucial for understanding transmission paths of the power grid, evaluating power supply reliability of each node, and locating faults.

[0118] In summary, step S101 collects current load data, planning engineering data, user installation data, and topological structure data of the power system comprehensively, provides detailed and accurate data support for subsequent intelligent analysis, and thereby ensures reliability and practicability of analysis results.

[0119] In an implementation form of the embodiment, the step of collecting data, wherein the data comprises current load data, planning engineering data, user installation data, and topological structure data of the power system, comprises:

[0120] collecting data at a fixed time, wherein the data comprises current load data, planning engineering data, user installation data, and topological structure data of the power system.

[0121] It's important to note that using a scheduled data collection method ensures automated data collection and analysis at relatively short intervals (such as daily, weekly, or monthly, depending on actual needs). This strategy offers the advantage of timely response to grid changes, capturing dynamic information such as load fluctuations, equipment failures, and planning adjustments, thereby providing power supply management departments with more timely and accurate decision support. This approach not only improves the timeliness of analysis but also better meets the high standards of efficiency and accuracy required by modern grid management.

[0122] In one implementation of this embodiment, before step S101, the method further includes:

[0123] Set a base year that serves as the starting point for data collection and analysis.

[0124] It’s important to note that this step is crucial because it provides a clear starting point for the entire data collection and analysis process. The base year is typically set based on grid planning, operations, or policy adjustments, ensuring that all collected data and analysis results have a common reference baseline.

[0125] Regarding load rate determination, this embodiment specifies the specific values ​​of the first and second preset thresholds. According to one implementation of this embodiment, the first preset threshold is set to 80%, while the second preset threshold is set to 100%. These two thresholds are set based on the actual operation of the power grid and the needs of power supply management, aiming to ensure stable operation of the power grid and reliable power supply.

[0126] Specifically, when the load factor of a 110kV substation's main transformer reaches or exceeds 80%, the system deems the substation potentially overloaded and triggers appropriate warning or adjustment mechanisms. If the load factor reaches or exceeds 100%, the substation is already overloaded, requiring immediate action to adjust or shift the load to prevent serious consequences such as equipment damage or power outages.

[0127] By setting these specific thresholds, we can more accurately assess the grid's operating status, promptly identify potential risks and issues, and take appropriate intervention and adjustment measures. This not only improves grid efficiency and power supply quality, but also provides more scientific and reasonable decision-making support for power supply management departments.

[0128] In one implementation of this embodiment, step S115 specifically includes:

[0129] Based on the above analysis results, the power system topology data for the forecast year is summarized;

[0130] Collect the predicted load data of each 110kV substation main transformer;

[0131] Collect statistics on the load rate data of the main transformer of each 110kV substation.

[0132] Among them, the power system topology data for the forecast year is summarized as follows:

[0133] This step involves integrating all collected and analyzed power system topology data to form a grid structure diagram for the forecast year (i.e., the target year of analysis). This includes information such as substation location, capacity, and connectivity, as well as line routing and specifications. This data is fundamental to understanding the grid structure, assessing power supply capacity, and formulating dispatch strategies.

[0134] Statistics of the predicted load data of each 110kV substation main transformer:

[0135] By comprehensively analyzing historical data, planned data, and user-subscribed data, the system can predict the load of each 110kV substation's main transformer over the next year. This step involves compiling the forecast results into numerical values, including indicators such as each main transformer's maximum load, average load, peak load, and load fluctuation rate. This data is crucial for assessing the substation's power supply capacity and formulating load adjustment plans.

[0136] Statistics of the load rate data of each 110kV substation main transformer:

[0137] Load factor is a key indicator of substation main transformer operating efficiency. In step S115, the system calculates the load factor for each 110kV substation main transformer based on the predicted load data and the rated capacity of the main transformer. This load factor data can reflect the substation's load distribution and overload risk, providing strong support for developing targeted power supply strategies.

[0138] By summarizing and organizing the above three sub-steps, step S115 generates a comprehensive report containing the power system topology, predicted load data, and load factor data. This report not only comprehensively reflects the grid's operating status and forecast results, but also provides a clear and intuitive basis for decision-making by power supply management departments. Furthermore, because the report is generated based on real-time data and intelligent analysis, it is highly accurate and timely, helping power supply management departments to promptly identify changes in grid status and respond effectively.

[0139] In one implementation of this embodiment, after step S115, the method further includes:

[0140] Output power supply capability analysis diagram.

[0141] It should be noted that the addition of this step aims to present the analysis results in a more intuitive and visual manner, so that the power management department can more quickly and accurately understand the power supply capacity status of the power grid.

[0142] Specifically, the power supply capacity analysis chart is a chart display form that combines power system topology, predicted load data and load rate data, and presents the power supply capacity distribution, load trend and potential overload risk of each substation in the power grid through graphical means. This chart not only provides detailed data support, but also makes the analysis results more vivid and easy to understand through visual elements such as color, line, arrow, etc.

[0143] The output of the power supply capacity analysis chart is usually based on professional data analysis software and graphics processing tools. In the process of generating charts, different display methods can be selected according to actual needs, such as time series chart, geographical distribution chart, pie chart, column chart, etc., to best present the analysis results.

[0144] By outputting the power supply capacity analysis chart, the power management department can more intuitively understand the overall operation status of the power grid, quickly identify weak areas or substations in power supply capacity, and thus develop targeted improvement measures and scheduling strategies. This not only improves the power supply reliability and stability of the power grid, but also optimizes resource allocation and reduces operating costs, providing strong support for the sustainable development of the power industry.

[0145] In summary, outputting the power supply capacity analysis chart is an important supplementary step in this embodiment, which makes the analysis results more intuitive and easy to understand, and provides stronger support for the decision-making of the power management department.

[0146] Although the terms such as prediction, power supply, analysis are used more in this application, the possibility of using other terms is not excluded. The use of these terms is only to facilitate the description and explanation of the essence of the invention; any additional limitation is contrary to the spirit of the invention.

[0147] The intelligent analysis method for power supply capacity of all voltage level substations provided by the embodiment of the application can realize intelligent and automatic analysis of the power supply capacity of substations, which not only saves time and effort, improves overall efficiency, but also is not disturbed by human factors, reduces errors, and even avoids errors, ensures the accuracy of the analysis results, and the high real-time characteristics of the method enable the power management department to timely capture the changes in the state of the power grid and respond effectively, thereby adapting to the high standard requirements of modern power grid management for efficiency and accuracy.

[0148] Embodiment two

[0149] The embodiment two of the present application provides a full voltage level substation power supply capacity intelligent analysis system, the system comprises a plurality of function modules, the plurality of function modules cooperate with each other to realize:

[0150] S101, collect data, the data includes current load data, planning engineering data, user installation data and topological structure data of a power system;

[0151] S102, the number of user installations after a base year is counted, and whether the number of installations is greater than 0 is judged, if yes, step S103 is executed, and then step S105 is executed, if not, step S104 is executed, and then step S105 is executed;

[0152] S103, the predicted load is calculated using the following formula:

[0153] Predicted load = last year's load × (1 + natural growth rate) + total installed capacity;

[0154] S104, the predicted load is calculated using the following formula:

[0155] Predicted load = last year's load × (1 + natural growth rate);

[0156] S105, according to the predicted load, all 110KV substation main transformers are screened out for next step analysis;

[0157] S106, the load rate of each 110KV substation main transformer is calculated, and whether the load rate exceeds a first preset threshold is judged, if not, step S107 is executed, and then step S111 is executed, if yes, step S108 is executed;

[0158] S107, no transfer supply;

[0159] S108, whether the load rate exceeds a second preset threshold is judged, the second preset threshold is greater than the first preset threshold, if yes, step S109 is executed, and then step S111 is executed, if not, step S110 is executed, and then step S111 is executed;

[0160] S109, transfer supply from other substation whose load rate does not exceed the first preset threshold;

[0161] S110, transfer supply from other substation whose load exceeds the first preset threshold but does not exceed the second preset threshold;

[0162] S111, according to the load rate condition, all 110KV substation main transformers are screened out for next step analysis;

[0163] S112, detecting and determining whether the newly built substation does not bear the load; if so, executing step S113, then executing step S115; if not, executing step S114, then executing step S115;

[0164] S113, evenly distributing the predicted load corresponding to the newly built substation that does not undertake the load to other substations, which then transfer the load;

[0165] S114. The newly built substation will take over the corresponding load;

[0166] S115. Summarize the above analysis results.

[0167] An embodiment of the present invention provides an intelligent analysis system for the power supply capacity of substations at all voltage levels, which can realize intelligent and automatic analysis of the power supply capacity of substations. It not only saves time and effort and improves overall efficiency, but also is no longer interfered with by human factors, so that errors are reduced or even avoided, and the accuracy of the analysis results is effectively guaranteed. In addition, its high real-time characteristics enable power supply management departments to capture changes in the power grid status in a timely manner and make effective responses, which is conducive to adapting to the high standards of modern power grid management for efficiency and accuracy.

[0168] The above system can execute the method provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0169] Example 3

[0170] Figure 2 A schematic diagram of the structure of a computer device provided in Example 3 of the present invention. Figure 2 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 2 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0171] like Figure 2 As shown, computer device 12 is implemented as a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).

[0172] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0173] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0174] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 2 Not shown, usually called a "hard drive"). Although Figure 2 Although not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), as well as an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0175] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally implement the functions and / or methodologies of the embodiments described herein.

[0176] The computer device 12 may also communicate with one or more external devices 14 (e.g., a keyboard, a pointing device, a display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 22. Furthermore, the computer device 12 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with the other modules of the computer device 12 via the bus 18. It should be understood that although Figure 2 Not shown, other hardware and / or software modules may be used in conjunction with computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0177] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the intelligent analysis method for power supply capacity of a full-voltage-level substation provided in an embodiment of the present invention.

[0178] Example 4

[0179] Embodiment 4 of the present invention provides a computer-readable storage medium having computer-executable instructions stored thereon. When the instructions are executed by a processor, the intelligent analysis method for power supply capacity of a full-voltage-level substation provided in all the embodiments of the invention of this application is implemented.

[0180] Any combination of one or more computer-readable media may be employed. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0181] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0182] Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

[0183] Computer program code for performing the operations of the present invention may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0184] Finally, it should be noted that although the above embodiments have been described in the specification and drawings of this application, this does not limit the scope of patent protection of this application. All technical solutions generated by replacing or modifying equivalent structures or equivalent processes based on the essential concepts of this application using the contents recorded in the specification and drawings of this application, as well as directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are included in the scope of patent protection of this application.

Claims

1. A method for intelligent analysis of power supply capacity of full voltage level substations, characterized in that: The method comprises: S101. Collect data, including current load data, planned project data, user registration data, and power system topology data; S102, counting the number of users who applied for the device after the base year, and determining whether the number of applications is greater than 0; if so, executing step S103, then executing step S105; if not, executing step S104, then executing step S105; S103. Calculate the predicted load using the following formula: Forecast load = last year's load × (1 + natural growth rate) + total reported capacity; S104. Calculate the predicted load using the following formula: Forecast load = last year's load × (1 + natural growth rate); S105. Based on the predicted load, all 110KV substation main transformers are selected for further analysis; S106, calculating the load rate of each 110KV substation main transformer and determining whether the load rate exceeds a first preset threshold; if not, executing step S107, then executing step S111; if so, executing step S108; S107, no transfer of supply; S108, determining whether the load rate exceeds a second preset threshold; the second preset threshold is greater than the first preset threshold; if so, executing step S109, then executing step S111; if not, executing step S110, then executing step S111; S109, transferring power from another substation whose load rate does not exceed the first preset threshold; S110, the power is transferred from other substations whose load exceeds the first preset threshold but does not exceed the second preset threshold; S111. Based on the load rate, select all 110kV substation main transformers for further analysis; S112, detecting and determining whether the newly built substation does not bear the load; if so, executing step S113, then executing step S115; if not, executing step S114, then executing step S115; S113, evenly distributing the predicted load corresponding to the newly built substation that does not take on the load to other substations, which then transfer the load; S114. The newly built substation will take over the corresponding load; S115. Summarize the above analysis results.

2. The intelligent analysis method for power supply capacity of full voltage level substation according to claim 1 is characterized in that: Step S101 is specifically as follows: Collecting data, including current load data, planned project data, user registration data, and power system topology data; The current load data refers to the actual load data of each substation in the base year; The planned engineering data refers to the power transmission and transformation engineering data planned after the base year, including new substations and line upgrades and renovations; The user registration data is the user registration data after the base year, including each user's registered capacity and access substation information; The topological structure data of the power system is the connection relationship between all substations, distribution transformers and lines.

3. The method for intelligently analyzing power supply capacity of full-voltage-level substations according to claim 2, wherein the step of collecting data, including current load data, planned project data, user registration data, and power system topology data, comprises: Collect data regularly, including current load data, planned project data, user registration data and power system topology data.

4. The intelligent analysis method for power supply capacity of full voltage level substation according to claim 2 is characterized in that: Before step S101, the method further includes: Set a base year that serves as the starting point for data collection and analysis.

5. The intelligent analysis method for power supply capacity of full voltage level substation according to claim 1 is characterized in that: The first preset threshold is 80%, and the second preset threshold is 100%.

6. The intelligent analysis method for power supply capacity of full voltage level substation according to claim 1 is characterized in that: Step S115 specifically includes: Based on the above analysis results, the power system topology data for the forecast year is summarized; Collect the predicted load data of each 110kV substation main transformer; Collect statistics on the load rate data of the main transformer of each 110kV substation.

7. The intelligent analysis method for power supply capacity of full voltage level substation according to claim 1 is characterized in that: After step S115, the method further includes: Output power supply capability analysis diagram.

8. An intelligent analysis system for power supply capacity of full voltage level substations, characterized by: The system includes several functional modules, which cooperate with each other to achieve: S101. Collect data, including current load data, planned project data, user registration data, and power system topology data; S102, counting the number of users who applied for the device after the base year, and determining whether the number of applications is greater than 0; if so, executing step S103, then executing step S105; if not, executing step S104, then executing step S105; S103. Calculate the predicted load using the following formula: Forecast load = last year's load × (1 + natural growth rate) + total reported capacity; S104. Calculate the predicted load using the following formula: Forecast load = last year's load × (1 + natural growth rate); S105. Based on the predicted load, all 110KV substation main transformers are selected for further analysis; S106, calculating the load rate of each 110 kV substation main transformer and determining whether the load rate exceeds a first preset threshold; if not, executing step S107, and then executing step S111; If yes, proceed to step S108; S107, no transfer of supply; S108, determining whether the load rate exceeds a second preset threshold; if the second preset threshold is greater than the first preset threshold; if so, executing step S109, and then executing step S111; If not, execute step S110, then execute step S111; S109, transferring power from another substation whose load rate does not exceed the first preset threshold; S110, the power is transferred from other substations whose load exceeds the first preset threshold but does not exceed the second preset threshold; S111. Based on the load rate, select all 110kV substation main transformers for further analysis; S112, detecting and determining whether the newly built substation does not bear the load; if so, executing step S113, then executing step S115; if not, executing step S114, then executing step S115; S113, evenly distributing the predicted load corresponding to the newly built substation that does not take on the load to other substations, which then transfer the load; S114. The newly built substation will take over the corresponding load; S115. Summarize the above analysis results.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the method for intelligent analysis of power supply capacity of a full-voltage-level substation according to any one of claims 1 to 7 is implemented.

10. A storage medium containing computer-executable instructions, characterized in that: The computer executable instructions are executed by a computer processor to implement the intelligent analysis method for power supply capability of a full-voltage-level substation according to any one of claims 1 to 7.

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