A stable regulation management method and system suitable for spot market

Abstract

The application discloses a kind of stable regulation management method and system suitable for spot market, wherein the method comprises: all stable regulations are classified by grade, and each grade is divided according to the operation mode and load level to construct the stable regulation tree;All stable regulations are marked by label attribute;When acquiring temporary supplementary stable regulation, it is automatically classified into the corresponding category of stable regulation tree according to the applicable equipment, operation mode and load level;According to the real-time external acquisition equipment operation mode, overhaul state and load prediction data, the applicable stable regulation is extracted from the stable regulation tree, and the effective stable regulation set is dynamically generated;The current effective stable regulation set is screened, and only the stable regulation that meets the current power grid actual operation state is retained.The application realizes the comprehensive, dynamic and intelligent management of power spot market stable regulation, and guarantees the safety and efficiency of power grid operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power spot market clearing, and in particular to a stable regulation management method and system suitable for a spot market. BACKGROUND

[0002] As an important part of power trading, the spot market involves multiple complex dynamic factors such as equipment maintenance and load fluctuations, thus imposing strict requirements on the management of stable regulations. Stable regulations are used to ensure the safe and stable operation of the power grid, and these regulations usually include specific requirements for different equipment, lines and power grid operation modes to ensure that the power system can still operate normally under complex and unexpected conditions. However, the current management method is still mainly based on static rule maintenance, and the following key problems exist:

[0003] 1. Complicated regulation classification management: with the diversification of power grid operation conditions, stable regulations are becoming increasingly complex, and manual classification is time-consuming and prone to errors;

[0004] 2. Insufficient adaptability to dynamic changes: the traditional method is difficult to quickly respond to changes in the operation state of the power grid, resulting in redundant or missing effective regulations, which directly affects the reliability of market clearing results;

[0005] 3. Lack of intelligent verification means: the effectiveness and consistency of existing stable regulations are mainly dependent on manual intervention, making it difficult to comprehensively and timely find omissions or conflicts;

[0006] 4. Non-standardized approval process: temporary adjustments to regulations lack a clear multi-level approval and traceability mechanism, which can easily lead to regulatory risks.

[0007] Based on the above pain points, an intelligent solution is needed that can dynamically adapt to changes in power grid operation conditions, efficiently manage and verify stable regulations, and improve the standardization and safety of the spot market clearing process. SUMMARY

[0008] In view of the deficiencies in the prior art, the purpose of the present application is to provide a stable regulation management method and system suitable for a spot market, which can dynamically adapt to changes in power grid operation conditions, efficiently manage and verify stable regulations, and improve the standardization and safety of the spot market clearing process.

[0009] In a first aspect, a stable regulation management method suitable for a spot market is provided, comprising the following steps:

[0010] S1: All stable regulations are classified by region, province and equipment, and each level is classified according to operation mode and load level to construct a stable regulation tree;

[0011] S2: Mark all stability regulations by tags for users to filter stability regulations by tags;

[0012] S3: When a temporary supplementary stability regulation is acquired, automatically incorporate the temporary supplementary stability regulation into the corresponding category of the stability regulation tree according to the equipment, operation mode and load level of the temporary supplementary stability regulation;

[0013] S4: Extract applicable stability regulations from the stability regulation tree according to real-time acquired external equipment operation mode, maintenance state and load prediction data, and dynamically generate an effective stability regulation set;

[0014] S5: Screen the current effective stability regulation set for repeated, redundant and missing stability regulations, and only retain stability regulations that meet the actual operation state of the current power grid.

[0015] Further, step S3 further includes:

[0016] Determine whether there are conflicting or redundant stability regulations after acquiring the temporary supplementary stability regulation based on the timestamp of the stability regulation, and if so, automatically prompt the user to check.

[0017] Further, it further includes:

[0018] Visually display the content of all stability regulations in a tree structure combined with a table form, so that users can understand and operate.

[0019] Further, in step S4, when dynamically generating the effective stability regulation set, only one stability regulation of the same equipment is allowed to be effective, and if the temporary supplementary stability regulation meets the timestamp priority, the temporary supplementary stability regulation is automatically merged into the effective stability regulation set.

[0020] Further, step S4 further includes: for each stability regulation in the dynamically generated effective stability regulation set, automatically associate external data related to it, and automatically display the external data related to it when the user clicks on each stability regulation; wherein the external data is real-time acquired external equipment operation mode, maintenance state and load prediction data.

[0021] Further, step S5 specifically includes:

[0022] Parse the stability regulation data in the effective stability regulation set, and extract key information in each stability regulation, including equipment ID, formula structure, transfer ratio, limit, timestamp and effective condition;

[0023] Compare the formula structure and effective condition in different stability regulations to screen out repeated or redundant stability regulations;

[0024] For repeated or redundant stability regulations, the stability regulations that are more consistent with the current actual operation state of the power grid are selected according to the transfer ratio, quota and timestamp;

[0025] When no stability regulation is effective for a certain device, an automatic missing stability regulation prompt is performed.

[0026] Further, it further comprises:

[0027] Manual adjustment and multi-level approval are performed on the effective stability regulation set, and each adjustment and approval process is recorded to generate a complete log for traceability and auditing.

[0028] In a second aspect, a stability regulation management system suitable for the spot market is provided, comprising:

[0029] The full-section module comprises a regulation classification and tagging unit and a temporary supplementary regulation management unit;

[0030] The regulation classification and tagging unit is used to classify all stability regulations by region level, province level and device level, and divide the stability regulations according to the operation mode and load level for each level to construct a stability regulation tree; and mark the attributes of all stability regulations by tags for users to filter stability regulations by tags;

[0031] The temporary supplementary regulation management unit is used to automatically classify the temporary supplementary stability regulation into the corresponding category of the stability regulation tree according to the applicable device, operation mode and load level of the temporary supplementary stability regulation when the temporary supplementary stability regulation is obtained;

[0032] The incremental section module comprises a dynamically effective regulation access unit and a regulation checking unit;

[0033] The dynamically effective regulation access unit is used to extract applicable stability regulations from the stability regulation tree according to the real-time obtained device operation mode, maintenance state and load prediction data, and dynamically generate an effective stability regulation set;

[0034] The regulation checking unit is used to screen the current effective stability regulation set for repeated, redundant and missing stability regulations, and only retain the stability regulations that are consistent with the current actual operation state of the power grid.

[0035] Further, the full-section module further comprises a first visualization unit for directly displaying the contents of all stability regulations in a tree structure combined with a table form;

[0036] The incremental section module further comprises a second visualization unit for displaying only the current effective stability regulation set.

[0037] Further, the incremental sectional module further comprises an intelligent association unit, configured to automatically associate external data related to each stability provision in the dynamically generated and effective stability provision set, and automatically display the external data related to each stability provision when the user clicks on the stability provision.

[0038] The present application provides a stability provision management method and system suitable for spot market, which has the following beneficial effects:

[0039] (1) The effective stability provision is dynamically generated and verified in combination with external data, effectively solving the problems of stability provision redundancy, repetition and loss, dynamically adapting to the changes of power grid operation conditions, effectively improving the precision and efficiency of power grid management, reducing human intervention, improving the standardization and safety of the spot market clearing process, and ensuring the safe and stable operation of the power grid;

[0040] (2) Firstly, the systematic classification and management of stability provisions are realized by constructing a stability provision tree, and secondly, the effective stability provision is dynamically generated and verified in combination with external data, and the two work together to realize comprehensive, dynamic and intelligent management of the stability provision of the power spot market, ensuring the safety and efficiency of the power grid operation;

[0041] (3) The intelligent association of stability provisions and external data is supported, realizing the integration and linkage of global information, which can assist users in judging the rationality of the effective stability provision;

[0042] (4) The compliance and traceability of the adjustment process are ensured through multi-level approval and log recording. BRIEF DESCRIPTION OF DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0044] Figure 1 is a stability provision management method flowchart provided by the embodiment of the present application suitable for spot market;

[0045] Figure 2 is a stability provision tree schematic diagram provided by the embodiment of the present application. DETAILED DESCRIPTION

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the technical solutions of the present application will be described in detail below. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0047] As shown in Figure 1 , the embodiment of the present application provides a stable regulation management method suitable for spot market, which comprises the following steps:

[0048] S1: all stable regulations are classified by region level, province level and equipment level, and each level is classified according to operation mode and load level to construct a stable regulation tree.

[0049] As shown in Figure 2 , a stable regulation tree diagram is provided. The operation mode includes normal operation, A equipment maintenance, B equipment maintenance, etc.; the load level can be divided into three gears according to the specific size of the load, i.e. high load, medium load and low 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.

[0050] S2: all stable regulations are marked with labels for attributes, so that users can screen stable regulations according to labels.

[0051] In this embodiment, the attributes of stable regulations include applicable conditions, time effectiveness, priority, etc. By marking the attributes with labels, users can screen according to labels, realize quick positioning and flexible adjustment of stable regulations.

[0052] S3: when a temporary supplementary stable regulation is obtained, the temporary supplementary stable regulation is automatically classified into the corresponding category of the stable regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stable regulation.

[0053] The temporary supplementary stable regulation is accessed in real time and dynamically classified. After the temporary supplementary stable regulation is classified, the time stamp of the stable regulation is used as the basis for judgment to determine whether there are conflicting or redundant stable regulations after the temporary supplementary stable regulation is obtained. If there are, the user is automatically prompted to check. The user can screen the regulations according to the stable regulation category and time stamp, and compare and adjust the conflicting or redundant safety stable regulations.

[0054] In this embodiment, the stable regulation tree can be intuitively displayed in a tree structure combined with a table form to display all the contents of the stable regulations, so as to facilitate user understanding and operation.

[0055] S4: Extract the applicable stability regulations from the stability regulation tree according to the device operation mode, maintenance state and load prediction data obtained from the outside in real time, and dynamically generate the effective stability regulation set.

[0056] The device operation mode, maintenance state and predicted load level of the current power grid are obtained from the outside in real time, and the corresponding stability regulations are searched and extracted from the stability regulation tree according to these information, and the effective stability regulation set is dynamically generated.

[0057] In dynamically generating the effective stability regulation set, only one operation mode of the stability regulation is allowed to be effective for the same device, and if the temporary supplementary stability regulation meets the timestamp priority, the temporary supplementary stability regulation is automatically merged into the effective stability regulation set.

[0058] When the effective stability regulation set is generated, only the currently effective stability regulation can be displayed through the interface, and the display form is that only one small branch under each device is effective, and the other small branches under the device are gray, as shown in Figure 2 The normal mode, maintenance 1, maintenance 2 and other small branches under the 25th C transformer have only one effective, and the temporary supplementary stability regulation is automatically merged into the corresponding effective small branch according to the category, which simplifies the information amount, quickly locates and filters according to the small branches under the same device and the label category when checking, and improves the user checking efficiency.

[0059] In order to facilitate the user to judge the rationality of the effective stability regulation, in some preferred embodiments, for each stability regulation in the dynamically generated effective stability regulation set, the related external data is automatically associated, and the related external data is automatically displayed when the user clicks each stability regulation; wherein the external data is the device operation mode, maintenance state and load prediction data obtained from the outside in real time.

[0060] S5: Screening of repeated, redundant and missing stability regulations for the currently effective stability regulation set, and only retaining the stability regulations meeting the actual operation state of the current power grid.

[0061] In this embodiment, step S5 specifically includes:

[0062] S51: Analyzing the stability regulation data in the effective stability regulation set, extracting the key information in each stability regulation, and the key information includes device ID, formula structure, transfer ratio, limit, timestamp and effective condition.

[0063] S52: Comparing the formula structure and effective condition in different stability regulations, and screening out the repeated or redundant stability regulations.

[0064] Among them, the formula structure comparison method in different stability regulations is:

[0065] extract the section composed of the devices pointed by the formula structure of each stability regulation; for example, formula , x% is the transfer ratio, H is the limit, and the section is composed of device A and device B;

[0066] If the sections corresponding to multiple stability regulations are the same, it is considered that the formula structures of the multiple stability regulations are the same, and the multiple stability regulations are marked as possible repeated stability regulations; for example, formula and formula A+B≤I, both formula structures point to the section composed of device A and device B, and thus, it is considered that the formula structures are the same;

[0067] If the overlapping rate of the devices pointed by the sections corresponding to multiple stability regulations exceeds a set threshold value (the set threshold value is set according to the actual situation, for example, 50%, 60%, or 70%, and in this embodiment, 60% is taken as an example for illustration), 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; for example, formula and formula A+B+C≤J, the two formula structures respectively point to the section composed of device A and device B and the section composed of device A, B, and C, and at this time, the overlapping rate is 66.6%, which is greater than the set threshold value 60%, and thus, it is considered that the formula structures are similar.

[0068] After comparing the formula structures, it is also necessary to compare according to the effective conditions, for example, one stability regulation may be effective during the equipment maintenance period, and another stability regulation may be effective only after the new equipment is put into operation, and it is necessary to match according to the effective conditions to identify whether there are repeated or redundant stability regulations.

[0069] The specific method for screening repeated or redundant stability regulations includes:

[0070] If the formula structures and effective conditions of multiple stability regulations are the same, and the transfer ratio and limit are completely consistent, it is considered that the multiple stability regulations are a group of repeated stability regulations;

[0071] If the formula structures and effective conditions of multiple stability regulations are the same, but the transfer ratio / limit is not consistent, it is considered that the multiple stability regulations are a group of redundant stability regulations;

[0072] If the formula structures of multiple stability regulations are similar, and the effective conditions are the same, it is considered that the multiple stability regulations are a group of redundant stability regulations;

[0073] If the formula structures of multiple stability regulations are similar, but the effective conditions are different, it is considered that the multiple stability regulations are not related.

[0074] S53: For repeated or redundant stability regulations, the stability regulation that is more consistent with the current actual operation state of the power grid is selected according to the transfer ratio, limit, and time stamp, and specifically includes:

[0075] For each set of repeated stability regulations, the one with the closest retention time to the actual operation state of the power grid is selected by time stamp;

[0076] For each set of redundant stability regulations, the one with the most stringent retention rules, i.e., the highest transfer ratio or the smallest limit, is selected by comparing the transfer ratio and limit of each stability regulation, and the invalid or obsolete stability regulation is deleted; for example, if the transfer ratio of device A increases after N-1 (here N-1 refers to the case where device A sends a fault exit under normal operation state of the power system), the invalid stability regulation will be prompted and deleted.

[0077] By optimizing the stability regulations, only the effective regulations that meet the current state of the power grid are retained. The final generated stability regulation list will remove redundant, repeated or inapplicable stability regulations.

[0078] S54: When a device has no stability regulation in effect, an automatic missing stability regulation prompt is performed. For example, if there is a stability regulation that should be in effect during the maintenance of a device, but no corresponding stability regulation is found in the system, a missing stability regulation will be prompted. In specific implementation, when a missing stability regulation is detected, a prompt will be given to the staff through the interface, for example: "XX device related stability regulation is missing, please check the device maintenance plan and supplement the relevant regulations".

[0079] In some embodiments, manual intervention and multi-level approval are also included, specifically: manual adjustment of the set of stability regulations in effect, multi-level approval, and recording of each adjustment and approval process to generate a complete log for easy tracing and auditing. All stability regulation adjustments need to go through preliminary review, review and final confirmation to ensure compliance during the adjustment process.

[0080] After steps S1 to S5, comprehensive, correct and unique stability regulations are obtained, and based on these stability regulations, the present market clearing calculation is completed, and the day-ahead or intraday output curve of various power sources participating in the present market (including one or more of thermal power, hydropower, wind power, photovoltaic power, etc.) is obtained, and then the output of the corresponding power source is controlled according to the day-ahead or intraday output curve of various power sources.

[0081] The stability regulation management method for the present market provided in the above embodiment has the following beneficial effects:

[0082] (1) The effective stability regulations are dynamically generated and verified in combination with external data, effectively solving the problems of redundant, repeated and missing stability regulations, dynamically adapting to changes in power grid operation conditions, effectively improving the precision and efficiency of power grid management, reducing human intervention, improving the standardization and safety of the present market clearing process, and ensuring the safe and stable operation of the power grid;

[0083] (2) Firstly, the stable regulation system is classified and managed by constructing a stable regulation tree, and secondly, the effective stable regulation is dynamically generated and verified by combining external data, so that the comprehensive, dynamic and intelligent management of the stable regulation of the electricity spot market is realized, and the safety and efficiency of the power grid operation are ensured;

[0084] (3) The stable regulation and external data are intelligently associated to realize the integration and linkage of global information, and the rationality of the effective stable regulation can be assisted to be judged by a user;

[0085] (4) The adjustment process is ensured to be compliant and traceable through multi-level approval and log recording.

[0086] (5) The accuracy of the spot market clearing calculation is ensured by screening the repeated, redundant and missing stable regulations in the current effective stable regulation set, so that the problems of new energy curtailment or settlement abnormality caused by the inaccurate spot market clearing calculation in the actual operation of the power grid are avoided.

[0087] Embodiments of the present application also provide a stable regulation management system suitable for a spot market, comprising:

[0088] a full-section module comprising a regulation classification and labeling unit, a temporary supplementary regulation management unit and a first visualization unit;

[0089] The regulation classification and labeling unit is used for classifying all stable regulations according to regional level, provincial level and equipment level, and dividing the stable regulations according to the operation mode and load level of each level, so as to construct a stable regulation tree; and marking the attributes of all stable regulations by labels, so that the user can screen the stable regulations according to the labels;

[0090] The temporary supplementary regulation management unit is used for automatically classifying the temporary supplementary stable regulation into the corresponding category of the stable regulation tree according to the applicable equipment, operation mode and load level of the temporary supplementary stable regulation when the temporary supplementary stable regulation is obtained;

[0091] The first visualization unit is used for visually displaying the contents of all stable regulations in the form of a table combined with a tree structure of the stable regulation tree;

[0092] An incremental section module comprises a dynamic effective regulation access unit, a regulation verification unit and a second visualization unit;

[0093] The dynamic effective regulation access unit is used for extracting the applicable stable regulation from the stable regulation tree according to the real-time equipment operation mode, maintenance state and load prediction data obtained from the outside, and dynamically generating an effective stable regulation set;

[0094] The prescribed checking unit is used to screen the repeated, redundant and missing stable prescriptions in the current effective stable prescription set, and only the stable prescriptions meeting the actual operation state of the current power grid are reserved;

[0095] The second visualization unit is used to display only the current effective stable prescription set.

[0096] In some embodiments, the incremental cross-section module further comprises an intelligent association unit, which is used to automatically associate external data related to each stable prescription in the dynamically generated effective stable prescription set, and automatically display the external data related to each stable prescription when the user clicks on the stable prescription; wherein the external data is real-time obtained from the outside device operation mode, maintenance state and load prediction data.

[0097] Preferably, the incremental cross-section module further comprises a manual intervention and multi-level approval unit, which is used for the user to manually select the relevant stable prescription for adjustment (such as adding, deleting or modifying the effective stable prescription), and to perform multi-level approval, all adjustments of the stable prescription need to pass the preliminary examination, review and final confirmation to ensure the adjustment process is in compliance; and record each adjustment and approval process to generate a complete log for easy traceability and audit.

[0098] In specific implementation, the un-effective stable prescriptions in the incremental cross-section module can be expanded through a shortcut button for easy comparison between the effective and ineffective stable prescriptions. A right-click shortcut menu (such as setting effective, setting ineffective, adding notes) is provided to improve the operation efficiency.

[0099] It should be understood that the functional unit modules in the embodiments of the present application can be concentrated in one processing unit, or each unit module can exist physically alone, or two or more unit modules can be integrated in one unit module, which can be realized in the form of hardware or software. The same or similar parts in the above embodiments can be mutually referred to, and the contents not described in detail in some embodiments can be referred to the same or similar contents in other embodiments.

[0100] The stable prescription management system for the spot market provided by the above embodiments has the following beneficial effects:

[0101] (1) The incremental cross-section module dynamically generates and checks the effective stable prescriptions in combination with external data, effectively solves the problems of stable prescription redundancy, repetition and missing, can dynamically adapt to the changes of power grid operation conditions, effectively improves the precision and efficiency of power grid management, reduces human intervention, improves the standardization and safety of the spot market clearing process, and ensures the safe and stable operation of the power grid;

[0102] (2) The full-amount section module realizes systematic classification and management of stable regulations by constructing a stable regulation tree, and the incremental section module dynamically generates and verifies effective stable regulations in combination with external data, so that the full, dynamic and intelligent management of stable regulations of the electricity spot market is realized, and the safety and efficiency of power grid operation are ensured;

[0103] (3) The incremental section module supports intelligent association of stable regulations and external data, realizes integration and linkage of global information, and can assist users in judging the rationality of effective stable regulations;

[0104] (4) The compliance and traceability of the adjustment process are ensured through multi-level approval and log recording.

[0105] Those skilled in the art will understand that embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage, etc.) containing computer usable program code.

[0106] The present application is described with reference to flowcharts and / or block diagrams according to the methods, devices (systems), and computer program products of embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as combinations of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing apparatus to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing apparatus produce a device that implements the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in a flow or multiple flows and / or blocks Figure 1 The functions specified in a flow or multiple flows and / or blocks

[0107] These computer program instructions can also be stored in a computer-readable memory that can direct the computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including instruction devices that implement the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in a flow or multiple flows and / or blocks Figure 1 The functions specified in a flow or multiple flows and / or blocks

[0108] These computer program instructions can also be loaded into a computer or other programmable data processing devices, so that a series of operational steps are performed on the computer or other programmable data processing devices to generate a computer-implemented process, so that the instructions executed on the computer or other programmable data processing devices provide a process for implementing the flowchart Figure 1 one flow or multiple flows and / or the functions specified in the flow Figure 1 one flow or multiple flows and / or the functions specified in the flow

[0109] Although the embodiments of the present application have been shown and described above, it should be understood by those skilled in the art that the above-described embodiments are exemplary, and cannot be construed as limiting the present application, and those skilled in the art can make changes, modifications, replacements and variations to the above-described embodiments within the scope of the present application.

Claims

1. A method for managing stability regulations applicable to spot markets, characterized in that, The method comprises the following steps: S1: all stability regulations are classified by area level, province level and equipment level, and each level is classified according to the operation mode and load level to construct a stability regulation tree; S2: all stability regulations are marked with labels to allow users to screen the stability regulations according to the labels; 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 equipment, operation mode and load level of the temporary supplementary stability regulation; S4: according to the real-time external equipment operation mode, maintenance state and load prediction data, the applicable stability regulations are extracted from the stability regulation tree to dynamically generate an effective stability regulation set; S5: the current effective stability regulation set is screened for repeated, redundant and missing stability regulations, and only the stability regulations that meet the actual operation state of the power grid are retained.

2. The method for managing the stabilization of spot market regulations according to claim 1, characterized in that, After step S3, the following steps are further included: Based on the timestamp of the stability regulation, it is determined whether there are conflicting or redundant stability regulations after the temporary supplementary stability regulation is obtained, and if so, the user is automatically prompted to check.

3. The method for managing the stabilization of spot market regulations according to claim 1, characterized in that, Further included are: The stability regulation tree is displayed in a tree structure combined with a table form to intuitively display the content of all stability regulations, so that users can understand and operate.

4. The method for managing the stabilization of spot market regulations according to claim 1, characterized in that, In step S4, when the effective stability regulation set is dynamically generated, only one stability regulation of the same equipment in the same operation mode is allowed to be effective, and if the temporary supplementary stability regulation meets the timestamp priority, the temporary supplementary stability regulation is automatically merged into the effective stability regulation set.

5. The method of claim 1, wherein the method is applied to spot market stabilization regulation management. After step S4, the following steps are further included: for each stability regulation in the dynamically generated effective stability regulation set, the external data related to the stability regulation is automatically associated, and the external data related to the stability regulation is automatically displayed when the user clicks on the stability regulation; wherein the external data is real-time external equipment operation mode, maintenance state and load prediction data.

6. The method of claim 1, wherein the method is applied to spot market stabilization regulations. Step S5 specifically includes: The stability regulation data in the effective stability regulation set is analyzed to extract the key information in each stability regulation, including equipment ID, formula structure, transfer ratio, limit, timestamp and effective condition; The formula structure and effective condition in different stability regulations are compared to screen out repeated or redundant stability regulations; For repeated or redundant stability regulations, the stability regulation that is more consistent with the actual operation state of the power grid is selected and retained according to the transfer ratio, limit and timestamp; When there is no stability regulation effective for a certain equipment, an automatic missing stability regulation prompt is performed.

7. The method of claim 1, wherein the method is applied to spot market stabilization regulation management. Further included are: The effective stability regulation set is manually adjusted and multi-level approved, and each adjustment and approval process is recorded to generate a complete log for easy tracing and auditing.

8. A stable regulation management system suitable for spot market, characterized in that, It includes: A full-section module, which 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 by area level, province level and equipment level, and each level is classified 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 screen the stability regulations according to the labels; The temporary supplementary regulation management unit is configured to automatically classify the temporary supplementary stability regulation into a corresponding category of the stability regulation tree according to the equipment, operation mode and load level of the temporary supplementary stability regulation when the temporary supplementary stability regulation is acquired; The incremental cross-section module includes a dynamic effective regulation access unit and a regulation checking unit; The dynamic effective regulation access unit is configured to extract applicable stability regulations from the stability regulation tree according to the equipment operation mode, maintenance state and load prediction data acquired from the outside in real time, and dynamically generate an effective stability regulation set; The regulation checking unit is configured to screen the current effective stability regulation set for repeated, redundant and missing stability regulations, and only keep the stability regulations that are consistent with the actual operation state of the power grid.

9. The stable regulatory management system for spot market according to claim 8, wherein, The full-amount cross-section module further includes a first visualization unit configured to visually display all the contents of the stability regulations in a tree structure combined with a table form. The incremental cross-section module further includes a second visualization unit configured to only display the current effective stability regulation set.

10. The stable regulatory management system for spot market according to claim 8, wherein, The incremental cross-section module further includes an intelligent association unit configured 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 the stability regulation; wherein the external data is the equipment operation mode, maintenance state and load prediction data acquired from the outside in real time.

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