Stable regulation management method and system suitable for spot market

Abstract

The invention discloses a stability regulation management method and system suitable for a spot market, and the method comprises the steps: carrying out the grading of all stability regulations, and dividing the stability regulations according to an operation mode and a load level at each grade, so as to construct a stability regulation tree; marking attributes of all the stable stipulations through labels; when temporary supplementary stability regulations are obtained, the temporary supplementary stability regulations are automatically classified into corresponding categories of the stability regulation tree according to applicable equipment, operation modes and load levels; according to an equipment operation mode, a maintenance state and load prediction data which are obtained from the outside in real time, extracting applicable stability regulations from the stability regulation tree, and dynamically generating an effective stability regulation set; and screening the currently effective stability regulation set, and only retaining the stability regulation conforming to the actual operation state of the current power grid. According to the invention, comprehensive, dynamic and intelligent management of the stable regulation of the electric power spot market is realized, and the operation safety and efficiency of a power grid are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of electricity spot market clearing, and in particular to a stable regulation management method and system applicable to the spot market. Background Art

[0002] As an important part of power trading, the spot market involves multiple complex dynamic factors, such as equipment maintenance, load fluctuations, etc., which puts forward strict requirements on the management of stability regulations. Stability regulations are used to ensure the safe and stable operation of the power grid. These regulations usually include specific requirements for different equipment, lines and power grid operation methods to ensure that the power system can still operate normally under complex and emergency situations. However, the current management method is still mainly based on static rule maintenance, and there are the following key problems: 1. Complicated classification and management: With the diversification of grid operating conditions, stability regulations are becoming increasingly complex, and manual classification is time-consuming and error-prone; 2. Insufficient adaptability to dynamic changes: Traditional methods are difficult to quickly respond to changes in the operating status of the power grid, resulting in redundant or missing effective regulations, which directly affects the reliability of market clearing results; 3. Lack of intelligent verification methods: The effectiveness and consistency verification of existing stability regulations mainly relies on manual intervention, which makes it difficult to fully and timely discover omissions or conflicts; 4. The approval process is not standardized: The prescribed temporary adjustments lack a clear multi-level approval and traceability mechanism, which can easily lead to risks of violations.

[0003] Based on the above pain points, there is an urgent need for an intelligent solution that can dynamically adapt to changes in grid operating conditions and efficiently manage and verify stability regulations, so as to improve the standardization and security of the spot market clearing process. Summary of the invention

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a stability regulation management method and system suitable for the spot market, which can dynamically adapt to changes in power grid operating conditions, efficiently manage and verify stability regulations, and improve the standardization and safety of the spot market clearing process.

[0005] In a first aspect, a method for managing stablecoin regulations applicable to a spot market is provided, comprising the following steps: S1: All stability regulations are divided into levels according to regional, provincial and equipment levels, and each level divides the stability regulations according to the operation mode and load level to construct a stability regulation tree; S2: All stable regulations are marked with labels so that users can filter stable regulations by labels; S3: When a temporary supplementary stability regulation is obtained, the temporary supplementary stability regulation is automatically classified into a corresponding category of the stability regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stability regulation; S4: According to the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time, the applicable stability regulations are extracted from the stability regulation tree, and the effective stability regulation set is dynamically generated; S5: Screen the set of stability regulations currently in effect for duplicate, redundant, and missing stability regulations, and only retain stability regulations that are in line with the actual operating status of the current power grid.

[0006] Furthermore, after step S3, the following steps are further included: The timestamp of the stable regulations is used as the basis for judging whether there are conflicting or redundant stable regulations after obtaining the temporary supplementary stable regulations. If so, the user is automatically prompted to check.

[0007] Furthermore, it also includes: The stability regulations tree combines a tree structure with a table to intuitively display the contents of all stability regulations for easy understanding and operation by users.

[0008] Furthermore, in step S4, when dynamically generating a set of effective stable regulations, the same device only allows one stable regulation of an operating mode to take effect. If the temporary supplementary stable regulation meets the timestamp priority, the temporary supplementary stable regulation will be automatically merged into the effective stable regulation set.

[0009] Furthermore, after step S4, it also includes: for each stability regulation in the dynamically generated effective stability regulation set, automatically associating the external data related to it, and automatically displaying the external data related to it when the user clicks on each stability regulation; wherein the external data is the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time.

[0010] Furthermore, step S5 specifically includes: Parse the stable regulation data in the effective stable regulation set and extract key information in each stable regulation, including device ID, formula structure, transfer ratio, limit, timestamp and effective condition; Compare the formula structures and effective conditions in different stability regulations to filter out duplicate or redundant stability regulations; For repeated or redundant stability regulations, the stability regulations that are more in line with the actual operation status of the current power grid are selected and retained according to the transfer ratio, limit and time stamp; When no stability regulations are in effect for a device, a missing stability regulation prompt will be automatically issued.

[0011] Furthermore, it also includes: The effective stable set of regulations is manually adjusted and approved at multiple levels, and each adjustment and approval process is recorded to generate a complete log for easy traceability and auditing.

[0012] In a second aspect, a stable regulation management system applicable to the spot market is provided, comprising: The full-volume section module includes a regulation classification and labeling unit and a temporary supplementary regulation management unit; The regulation classification and labeling unit is used to classify all stability regulations into levels according to the regional level, provincial level, and equipment level, and each level divides the stability regulations according to the operation mode and load level to construct a stability regulation tree; and all stability regulations are marked with labels to allow users to filter stability regulations by labels; The temporary supplementary regulation management unit is used to automatically classify the temporary supplementary stability regulation into a corresponding category of the stability regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stability regulation when obtaining the temporary supplementary stability regulation; An incremental section module, which includes a dynamically effective regulation access unit and a regulation verification unit; The dynamic effective regulation access unit is used to extract applicable stability regulations from the stability regulation tree according to the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time, and dynamically generate an effective stability regulation set; The regulation checking unit is used to screen the currently effective stability regulation set for duplicate, redundant and missing stability regulations, and only retain the stability regulations that meet the actual operating status of the current power grid.

[0013] Furthermore, the full-volume section module further includes a first visualization unit for visually displaying the contents of all stability regulations in a tree structure combined with a table form; The incremental section module also includes a second visualization unit for displaying only the stable regulation set that is currently in effect.

[0014] Furthermore, the incremental section module also includes an intelligent association unit, which is used to automatically associate external data related to each stability regulation in the dynamically generated and effective stability regulation set, and automatically display the external data related to each stability regulation when the user clicks on each stability regulation; wherein the external data is equipment operation mode, maintenance status and load forecast data obtained from the outside in real time.

[0015] The present invention proposes a stable regulation management method and system applicable to the spot market, which has the following beneficial effects: (1) Dynamically generate and verify the effective stability regulations based on external data, effectively solving the problems of redundancy, duplication and missing stability regulations, dynamically adapting to changes in grid operating conditions, effectively improving the accuracy and efficiency of grid management, reducing human intervention, and improving the standardization and safety of the spot market clearing process, thus ensuring the safe and stable operation of the grid; (2) First, by constructing a stability rule tree, the stability rules are systematically classified and managed. Second, by combining external data, the stability rules are dynamically generated and verified to be effective. The synergy of the two enables comprehensive, dynamic and intelligent management of the stability rules of the power spot market, ensuring the safety and efficiency of power grid operation. (3) Supporting the intelligent association of stability regulations with external data, realizing the integration and linkage of global information, and assisting users in judging the rationality of effective stability regulations; (4) Ensure the compliance and traceability of the adjustment process through multi-level approval and logging. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a stable regulation management method applicable to the spot market provided by an embodiment of the present invention; Figure 2 It is a schematic diagram of a stable regulation tree provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] To make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0019] like Figure 1 As shown, the embodiment of the present invention provides a stable regulation management method applicable to the spot market, comprising the following steps: S1: All stability regulations are divided into levels at the regional, provincial and equipment levels, and each level divides the stability regulations according to the operation mode and load level to construct a stability regulation tree.

[0020] like Figure 2As shown, a schematic diagram of a stable regulation tree is provided. The operation modes include normal operation, A equipment maintenance, B equipment maintenance, etc.; the load level can be divided into three gears of high load, medium load and low load according to the specific size of the load. Of course, in some embodiments, the load level can also be divided into two gears or four gears according to the specific size of the load.

[0021] S2: All stable regulations are marked with labels so that users can filter stable regulations by labels.

[0022] In this embodiment, the attributes of the stable regulations include applicable conditions, timeliness, priority, etc., and the attributes are marked by tags, which makes it convenient for users to filter according to the tags, thereby achieving rapid positioning and flexible adjustment of the stable regulations.

[0023] S3: When a temporary supplementary stability regulation is obtained, the temporary supplementary stability regulation is automatically classified into the corresponding category of the stability regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stability regulation.

[0024] Temporary supplementary stability regulations are accessed and dynamically classified in real time. After the temporary supplementary stability regulations are classified, the timestamp of the stability regulations is used as the basis for judgment to determine whether there are conflicting or redundant stability regulations after obtaining the temporary supplementary stability regulations. If so, the user is automatically prompted to check. The user can filter the regulations according to the stability regulation category and timestamp, and compare and adjust the conflicting or redundant security and stability regulations.

[0025] In this embodiment, the stability regulation tree can be combined with a tree structure to intuitively display the contents of all stability regulations in a table form to facilitate user understanding and operation.

[0026] S4: According to the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time, the applicable stability regulations are extracted from the stability regulation tree, and the effective stability regulation set is dynamically generated.

[0027] The current power grid equipment operation mode, maintenance status and predicted load level are obtained from the outside in real time, and the corresponding stability regulations are searched and extracted from the stability regulation tree based on this information to dynamically generate a set of effective stability regulations.

[0028] When dynamically generating a set of effective stable regulations, only one stable regulation of one operation mode is allowed to take effect on the same device. If the temporary supplementary stable regulation meets the timestamp priority, the temporary supplementary stable regulation will be automatically merged into the effective stable regulation set.

[0029] After the effective stability rules set is generated, only the currently effective stability rules can be displayed through the interface. The display format is that only one small branch under each device is effective, and the other small branches under the device are gray, such as Figure 2As shown in, for the normal mode, maintenance 1, maintenance 2 and other small branches under Article 25 C main transformer, only one is effective. The temporary supplementary stability regulations are automatically merged into the corresponding effective small branches according to the category, which simplifies the amount of information. At the time of verification, the small branches under the same device are quickly located and screened based on whether there is any conflict and the label category, thereby improving the user's verification efficiency.

[0030] In order to assist users in judging the rationality of the effective stability regulations, in some preferred embodiments, for each stability regulation in the dynamically generated effective stability regulation set, the external data related to it is automatically associated, and the external data related to it is automatically displayed when the user clicks on each stability regulation; the external data is the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time.

[0031] S5: Screen the set of stability regulations currently in effect for duplicate, redundant, and missing stability regulations, and only retain stability regulations that are in line with the actual operating status of the current power grid.

[0032] In this embodiment, step S5 specifically includes: S51: Parse the stable regulation data in the effective stable regulation set, and extract key information in each stable regulation, where the key information includes device ID, formula structure, transfer ratio, limit, timestamp and effective condition.

[0033] S52: Compare the formula structures and effectiveness conditions in different stability regulations and filter out duplicate or redundant stability regulations.

[0034] Among them, the formula structures in different stability regulations are compared as follows: Extract the cross section of the equipment structure pointed to by each stable formula structure; such as formula , x% is the transfer ratio, H is the limit, equipment A and equipment B form the section; If the sections corresponding to multiple stability regulations are the same, then the formula structures of the multiple stability regulations are considered to be the same, and the multiple stability regulations are marked as possible repeated stability regulations; for example, And the formula A+B≤I, both formula structures point to the section composed of equipment A and equipment B, so the formula structures are considered to be the same; If the equipment overlap rate of the cross-sections corresponding to the multiple stability regulations exceeds a set threshold (the set threshold is set according to the actual situation, such as 50%, 60% or 70%, etc., and 60% is used as an example in this embodiment), it is considered that the formula structures of the multiple stability regulations are similar, and the multiple stability regulations are marked as possible redundant stability regulations; if the formula And the formula A+B+C≤J, the two formula structures point to the section composed of devices A and B and the section composed of devices A, B, and C respectively. At this time, the overlap rate is 66.6%, which is greater than the set threshold of 60%, and the formula structures are considered to be similar.

[0035] After comparing the formula structures, they also need to be compared based on the effective conditions. For example, a certain stability provision may be effective during equipment maintenance, while another stability provision may only be effective after the new equipment is put into production. It is necessary to match them based on the effective conditions to identify whether there are repeated or redundant stability provisions.

[0036] Specific methods for screening out duplicate or redundant stabilization provisions include: If multiple stabilization provisions have the same formula structure and entry into force conditions, and the same transfer ratios and limits, then the multiple stabilization provisions are considered to be a set of duplicate stabilization provisions; If multiple stabilization provisions have the same formula structure and entry into force conditions, but different transfer ratios / limits, the multiple stabilization provisions are considered to be a set of redundant stabilization provisions; If the formula structures of multiple stability provisions are similar and their effectiveness conditions are the same, then the multiple stability provisions are considered to be a set of redundant stability provisions; If multiple stability provisions have similar formula structures but different entry into force conditions, the multiple stability provisions are considered unrelated.

[0037] S53: For repeated or redundant stability regulations, the stability regulations that are more in line with the actual operation status of the current power grid are selected and retained according to the transfer ratio, limit and time stamp, including: For each set of repeated stability regulations, the stability regulation with the retention time closest to the actual operation state of the power grid is selected through the timestamp; For each set of redundant stability regulations, compare the transfer ratio and limit of each stability regulation, select the most stringent rule, that is, the stability regulation with the highest transfer ratio or the smallest limit, and delete the invalid or outdated stability regulations; for example, after N-1 (here N-1 refers to the situation where device A sends a fault exit under normal operation of the power system), the transfer ratio of device A increases, which will prompt and delete the invalid stability regulation.

[0038] By optimizing the stability regulations, only valid regulations that meet the current grid status are retained. The final stability regulations list will remove redundant, repeated or inapplicable stability regulations.

[0039] S54: When no stability regulations are in effect for a certain device, a missing stability regulation prompt will be automatically issued. For example, if a stability regulation should be in effect during the maintenance of a certain device, but the corresponding stability regulation is not found in the system, a missing stability regulation prompt will be issued. In specific implementation, when missing stability regulations are detected, a prompt will be given to the staff through the interface, for example: "XX device related stability regulations are missing, please check the equipment maintenance plan and add relevant regulations."

[0040] In some embodiments, manual intervention and multi-level approval are also included, specifically: manual adjustment of the effective stable regulations set, multi-level approval, and recording of each adjustment and approval process, generating a complete log for easy traceability and auditing. All adjustments to stable regulations must go through preliminary review, review and final confirmation to ensure compliance with the adjustment process.

[0041] After steps S1 to S5, a comprehensive, correct and unique stability regulation is obtained. Based on these stability regulations, the spot market clearing calculation is completed, and the day-ahead or intraday output curves of various power sources participating in the spot market (including one or more types of thermal power, hydropower, wind power, photovoltaic power generation, etc.) are obtained, and then the output dispatch control of the corresponding power source is carried out according to the day-ahead or intraday output curves of various power sources.

[0042] The above embodiment provides a stable regulation management method applicable to the spot market, which has the following beneficial effects: (1) Dynamically generate and verify the effective stability regulations based on external data, effectively solving the problems of redundancy, duplication and missing stability regulations, dynamically adapting to changes in grid operating conditions, effectively improving the accuracy and efficiency of grid management, reducing human intervention, and improving the standardization and safety of the spot market clearing process, thus ensuring the safe and stable operation of the grid; (2) First, by constructing a stability rule tree, the stability rules are systematically classified and managed. Second, by combining external data, the stability rules are dynamically generated and verified to be effective. The synergy of the two enables comprehensive, dynamic and intelligent management of the stability rules of the power spot market, ensuring the safety and efficiency of power grid operation. (3) Supporting the intelligent association of stability regulations with external data, realizing the integration and linkage of global information, and assisting users in judging the rationality of effective stability regulations; (4) Ensure the compliance and traceability of the adjustment process through multi-level approval and logging.

[0043] (5) By screening the set of stability regulations currently in effect for duplicate, redundant, and missing stability regulations, the accuracy of the spot market clearing calculation is ensured, thereby avoiding problems such as new energy power abandonment or settlement abnormalities caused by heavy overload of some sections of the power grid due to inaccurate spot clearing calculations during the actual operation of the power grid.

[0044] The embodiment of the present invention further provides a stability regulation management system applicable to the spot market, including: A full-volume section module, which includes a regulation classification and labeling unit, a temporary supplementary regulation management unit, and a first visualization unit; The regulation classification and labeling unit is used to classify all stability regulations into levels according to the regional level, provincial level, and equipment level, and each level divides the stability regulations according to the operation mode and load level to construct a stability regulation tree; and all stability regulations are marked with labels to allow users to filter stability regulations by labels; The temporary supplementary regulation management unit is used to automatically classify the temporary supplementary stability regulation into a corresponding category of the stability regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stability regulation when obtaining the temporary supplementary stability regulation; The first visualization unit is used to visually display the contents of all stability regulations in a tree structure combined with a table form; An incremental section module, which includes a dynamically effective regulation access unit, a regulation verification unit, and a second visualization unit; The dynamic effective regulation access unit is used to extract applicable stability regulations from the stability regulation tree according to the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time, and dynamically generate an effective stability regulation set; The regulation checking unit is used to screen the currently effective stability regulation set for duplicate, redundant and missing stability regulations, and only retain the stability regulations that meet the actual operation status of the current power grid; The second visualization unit is used to display only the stable regulation set that is currently in effect.

[0045] In some embodiments, the incremental section module also includes an intelligent association unit, which is used to automatically associate external data related to each stability regulation in the dynamically generated effective stability regulation set, and automatically display the external data related to each stability regulation when the user clicks on each stability regulation; wherein the external data is equipment operation mode, maintenance status and load forecast data obtained from the outside in real time.

[0046] Preferably, the incremental section module also includes a manual intervention and multi-level approval unit, which is used for users to manually select relevant stability regulations for adjustment (such as adding, deleting, and modifying effective stability regulations) and conduct multi-level approval. All adjustments to stability regulations must go through preliminary review, review and final confirmation to ensure compliance with the adjustment process; and record each adjustment and approval process to generate a complete log for easy traceability and auditing.

[0047] In specific implementation, the incremental section module can use shortcut buttons to expand ineffective stability regulations, which is convenient for comparing effective and ineffective stability regulations. Provide right-click shortcut menus (such as set effective, set invalid, add notes) to improve operation efficiency.

[0048] It should be understood that the functional unit modules in the embodiments of the present invention may be concentrated in one processing unit, or each unit module may exist physically separately, or two or more unit modules may be integrated in one unit module, and may be implemented in the form of hardware or software. The same or similar parts in the above embodiments may refer to each other, and the content not described in detail in some embodiments may refer to the same or similar content in other embodiments.

[0049] The above embodiment provides a stable regulation management system applicable to the spot market, which has the following beneficial effects: (1) The incremental section module dynamically generates and verifies effective stability regulations based on external data, effectively solving the problems of redundancy, duplication and missing stability regulations. It can dynamically adapt to changes in grid operating conditions, effectively improve the accuracy and efficiency of grid management, reduce human intervention, and improve the standardization and safety of the spot market clearing process, thus ensuring the safe and stable operation of the grid. (2) The full section module realizes the systematic classification and management of stability regulations by constructing a stability regulation tree. The incremental section module dynamically generates and verifies the effective stability regulations based on external data. The synergy of the two realizes the comprehensive, dynamic and intelligent management of the stability regulations of the power spot market, ensuring the safety and efficiency of power grid operation. (3) The incremental section module supports the intelligent association of stability regulations with external data, realizes the integration and linkage of global information, and can assist users in judging the rationality of effective stability regulations; (4) Ensure the compliance and traceability of the adjustment process through multi-level approval and logging.

[0050] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0053] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0054] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for managing stable regulations applicable to the spot market, characterized in that: The following steps are involved: S1: All stability regulations are divided into levels according to regional, provincial and equipment levels, and each level divides the stability regulations according to the operation mode and load level to construct a stability regulation tree; S2: All stable regulations are marked with labels so that users can filter stable regulations by labels; S3: When a temporary supplementary stability regulation is obtained, the temporary supplementary stability regulation is automatically classified into a corresponding category of the stability regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stability regulation; S4: According to the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time, the applicable stability regulations are extracted from the stability regulation tree, and the effective stability regulation set is dynamically generated; S5: Screen the set of stability regulations currently in effect for duplicate, redundant, and missing stability regulations, and only retain stability regulations that are in line with the actual operating status of the current power grid.

2. The method for managing stable regulations applicable to the spot market according to claim 1, characterized in that: After step S3, the following steps are also included: The timestamp of the stable regulations is used as the basis for judging whether there are conflicting or redundant stable regulations after obtaining the temporary supplementary stable regulations. If so, the user is automatically prompted to check.

3. The method for managing stable regulations applicable to the spot market according to claim 1, characterized in that: Also includes: The stability regulations tree combines a tree structure with a table to intuitively display the contents of all stability regulations for easy understanding and operation by users.

4. The method for managing stable regulations applicable to the spot market according to claim 1, characterized in that: In step S4, when dynamically generating an effective stable regulation set, the same device only allows one stable regulation of the operating mode to take effect. If the temporary supplementary stable regulation meets the timestamp priority, the temporary supplementary stable regulation will be automatically merged into the effective stable regulation set.

5. The method for managing stable regulations applicable to the spot market according to claim 1, characterized in that: After step S4, it also includes: for each stability regulation in the dynamically generated effective stability regulation set, automatically associating the external data related to it, and automatically displaying the external data related to it when the user clicks on each stability regulation; wherein the external data is the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time.

6. The method for managing stable regulations applicable to the spot market according to claim 1, characterized in that: Step S5 specifically includes: Parse the stable regulation data in the effective stable regulation set and extract key information in each stable regulation, including device ID, formula structure, transfer ratio, limit, timestamp and effective condition; Compare the formula structures and effective conditions in different stability regulations to filter out duplicate or redundant stability regulations; For repeated or redundant stability regulations, the stability regulations that are more in line with the actual operation status of the current power grid are selected and retained according to the transfer ratio, limit and time stamp; When no stability regulations are in effect for a device, a missing stability regulation prompt will be automatically issued.

7. The method for managing stable regulations applicable to the spot market according to claim 1, characterized in that: Also includes: The effective stable set of regulations is manually adjusted and approved at multiple levels, and each adjustment and approval process is recorded to generate a complete log for easy traceability and auditing.

8. A stable regulation management system suitable for the spot market, characterized in that: include: The full-volume section module includes a regulation classification and labeling unit and a temporary supplementary regulation management unit; The regulation classification and labeling unit is used to classify all stability regulations into levels according to the regional level, provincial level, and equipment level, and each level divides the stability regulations according to the operation mode and load level to construct a stability regulation tree; And all stable regulations are marked with tags to allow users to filter stable regulations by tags; The temporary supplementary regulation management unit is used to automatically classify the temporary supplementary stability regulation into a corresponding category of the stability regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stability regulation when obtaining the temporary supplementary stability regulation; An incremental section module, which includes a dynamically effective regulation access unit and a regulation verification unit; The dynamic effective regulation access unit is used to extract applicable stability regulations from the stability regulation tree according to the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time, and dynamically generate an effective stability regulation set; The regulation checking unit is used to screen the currently effective stability regulation set for duplicate, redundant and missing stability regulations, and only retain the stability regulations that meet the actual operating status of the current power grid.

9. The stable regulation management system applicable to the spot market according to claim 8, characterized in that: The full section module also includes a first visualization unit for visually displaying the contents of all stability regulations in a tree structure combined with a table form; The incremental section module also includes a second visualization unit for displaying only the stable regulation set that is currently in effect.

10. The stable regulation management system applicable to the spot market according to claim 8, characterized in that: The incremental section module also includes an intelligent association unit, which is used to automatically associate external data related to each stability regulation in the dynamically generated and effective stability regulation set, and automatically display the external data related to each stability regulation when the user clicks on it; the external data is the equipment operation mode, maintenance status and load forecast data obtained from the outside in real time.

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