Flexible load frequency modulation method and system

Abstract

The invention discloses a flexible load frequency modulation method and system, and the method comprises the steps: deploying Internet of Things equipment in each load region, collecting electrical parameters when a frequency change event occurs, and building a frequency modulation feature matrix of distributed load monitoring points; based on the upstream and downstream logical relationship of power flow and frequency disturbance, evaluating conduction difference and updating the matrix, and generating a frequency change event conduction matrix; and determining an object sequence to be subjected to frequency modulation and sending the object sequence to a power grid operation and maintenance port by calculating the frequency modulation sensitive correlation degree among the distributed monitoring points. According to the invention, high-sensitivity load areas and equipment can be identified, so that dynamic monitoring and accurate evaluation of flexible load frequency modulation characteristics can be realized.

Description

Technical Field

[0001] The present invention relates to the technical field of load frequency regulation, in particular to a method and system for flexible load frequency regulation. Background Art

[0002] Flexible load frequency regulation technology is an important means to maintain grid frequency stability. Its core lies in quickly and accurately identifying load frequency regulation characteristics and implementing effective control. However, existing load frequency regulation technology still has significant shortcomings in dynamic monitoring, conduction path analysis, and frequency regulation object screening.

[0003] Traditional load frequency regulation methods mostly adopt a centralized monitoring mode, relying on limited key node data, and are unable to cover the wide-area distribution characteristics of distributed flexible loads. Such methods are prone to temporal and spatial information deviations due to clock asynchrony during the data acquisition process, which in turn affects the accuracy of frequency regulation characteristic analysis; in addition, existing technologies are relatively extensive in analyzing the transmission mechanism of frequency disturbances, usually only focusing on the self-response of a single area, while ignoring the mutual influence between areas, resulting in incomplete identification of the transmission path. For example, when a frequency disturbance occurs, traditional methods cannot effectively distinguish between the self-conduction characteristics within the load area and the mutual conduction characteristics between adjacent areas, making it difficult to locate key disturbance sources and highly sensitive areas.

[0004] In terms of frequency regulation control strategies, existing technologies are mostly based on static models or historical data and lack the ability to adapt to real-time dynamic changes. Especially when facing large-scale distributed flexible loads, traditional methods have low data processing efficiency and are unable to generate frequency regulation instructions in a timely manner, resulting in insufficient real-time control of grid frequency. In addition, existing frequency regulation object screening algorithms often rely on manual experience or simple threshold judgments and lack quantitative evaluation methods, which can easily cause the frequency regulation range to be too wide or miss key equipment, reducing the targetedness and efficiency of frequency regulation control. Summary of the Invention

[0005] Purpose of the invention: The purpose of the present invention is to provide a method and system for real-time and effective flexible load frequency regulation based on upstream and downstream logic difference evaluation.

[0006] Technical solution: The method for flexible load frequency modulation of the present invention comprises the following steps:

[0007] Divide the load area according to the signal coverage of the distributed load monitoring points in the power grid, and deploy IoT devices in each load area;

[0008] When a frequency change event occurs, the electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event are obtained, and a frequency modulation feature matrix of each distributed load monitoring point under the frequency change event is established;

[0009] For each element in the frequency modulation characteristic matrix, the conduction difference is analyzed according to the upstream and downstream logical relationship of the power flow direction and the frequency disturbance propagation order, including the conduction difference of the load area itself and the conduction difference of the impact on the downstream load area;

[0010] updating the value of each element in the frequency modulation characteristic matrix according to the conduction difference to obtain a frequency change event conduction matrix;

[0011] Calculating the frequency modulation sensitivity correlation between the two distributed load monitoring points according to the frequency change event conduction matrix of the two distributed load monitoring points;

[0012] According to the relationship between the frequency modulation sensitivity correlation degree and its corresponding threshold value, the two distributed load monitoring points are added to the sequence of objects to be frequency regulated;

[0013] Send the sequence of objects to be frequency regulated to the grid operation and maintenance port for frequency regulation.

[0014] Furthermore, when a frequency change event occurs, obtaining electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event, and establishing a frequency modulation feature matrix for each distributed load monitoring point under the frequency change event includes:

[0015] The IoT devices in each load area form a regional device group. When a frequency change event occurs within the area, the corresponding regional equipment group is triggered to run and generate a frequency characteristic flow , Indicates the load response timestamp of the qth synchronization trigger.

[0016] Furthermore, when a frequency change event occurs, obtaining electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event, and establishing a frequency modulation feature matrix for each distributed load monitoring point under the frequency change event includes:

[0017] Distributed flexible load monitoring points In frequency change events The frequency modulation characteristic matrix under In the example, the number of synchronous triggers is the horizontal dimension, the load area is the vertical dimension, and the element corresponding to the qth row and the eth column is the grid state feature label. ;

[0018] ,in, Represents frequency feature flow Underload area monitoring period, Indicates monitoring period Underload area The power variation within Indicates monitoring period Underload area The frequency deviation value within.

[0019] Furthermore, for each element in the frequency modulation characteristic matrix, the conduction difference is analyzed based on the upstream and downstream logical relationship of the power flow direction and the frequency disturbance propagation order, including the conduction difference of the load area itself and the impact on the downstream load area. The conduction difference includes:

[0020] The self-conduction difference of the load area for:

[0021] ;

[0022] The impact of the conduction differences on the downstream load area for:

[0023] .

[0024] Furthermore, updating the value of each element in the frequency modulation characteristic matrix according to the conduction difference to obtain the frequency change event conduction matrix includes:

[0025] If the load area's own conduction difference is greater than the impact conduction difference on the downstream load area, then let , otherwise let ;

[0026] Remove FM characteristic matrix The last row and last column of the frequency change event conduction matrix is ​​updated with a value of 0 or 1. .

[0027] Furthermore, the calculating of the frequency modulation sensitivity correlation between the two distributed load monitoring points according to the frequency change event conduction matrix of the two distributed load monitoring points includes:

[0028] Frequency change events Distributed flexible load monitoring points and FM sensitivity correlation between ;

[0029] in, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean intersection operation between them, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean union operation between them.

[0030] Furthermore, the adding the two distributed load monitoring points to the sequence of objects to be frequency regulated according to the relationship between the frequency regulation sensitivity correlation and its corresponding threshold value includes:

[0031] If the frequency modulation sensitivity correlation is not less than its corresponding threshold, the two distributed load monitoring points are recorded in the frequency modulation control range, and the distributed flexible load monitoring points in the frequency modulation control range are deduplicated. After deduplication, the largest continuous distributed flexible load monitoring points are selected to form a sequence of objects to be frequency modulated.

[0032] Furthermore, the load area division is performed according to the signal coverage of the distributed load monitoring points in the power grid, and the deployment of IoT devices in each load area includes:

[0033] Based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order, the synchronization of the load response timestamps of IoT devices is calibrated.

[0034] The flexible load frequency modulation system of the present invention comprises:

[0035] An IoT device deployment unit, configured to divide load areas according to the signal coverage of distributed load monitoring points in the power grid and deploy IoT devices in each load area;

[0036] A frequency modulation characteristic matrix establishment unit is used to obtain electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event when a frequency change event occurs, and establish a frequency modulation characteristic matrix for each distributed load monitoring point under the frequency change event;

[0037] A conduction difference analysis unit is configured to analyze the conduction differences of each element in the frequency modulation characteristic matrix based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order, including the conduction differences of the load area itself and the conduction differences affecting the downstream load area; and update the values ​​of each element in the frequency modulation characteristic matrix based on the conduction differences to obtain the frequency change event conduction matrix.

[0038] A frequency modulation sensitivity analysis unit, configured to calculate a frequency modulation sensitivity correlation between the two distributed load monitoring points based on a frequency change event conduction matrix of the two distributed load monitoring points;

[0039] The frequency modulation unit is used to add the two distributed load monitoring points to a sequence of objects to be frequency modulated according to the relationship between the frequency modulation sensitivity correlation and its corresponding threshold; and send the sequence of objects to be frequency modulated to the power grid operation and maintenance port for frequency modulation.

[0040] The electronic device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the computer program is loaded into the processor, the flexible load frequency modulation method is implemented.

[0041] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the method for flexible load frequency modulation is implemented.

[0042] Beneficial effects: Compared with the existing technology, the advantages of the present invention are: the present invention is based on the conduction difference evaluation of upstream and downstream logic, clarifies the self-conduction characteristics of frequency disturbances in the load area and the mutual conduction characteristics between areas, and automatically identifies highly sensitive load areas and equipment to achieve dynamic monitoring and accurate evaluation of flexible load frequency regulation characteristics, thereby improving the pertinence and efficiency of frequency regulation control, and the real-time and effectiveness of grid frequency control. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of the flexible load frequency modulation method of the present invention. DETAILED DESCRIPTION

[0044] The technical solution of the present invention will be further described below with reference to the accompanying drawings.

[0045] like Figure 1 As shown, the method for flexible load frequency modulation includes the following steps.

[0046] Step S1: Set up distributed flexible load monitoring points and divide the load areas, deploy IoT devices in the load areas, and make each IoT device run synchronously.

[0047] The signal coverage area of ​​distributed flexible load monitoring points is divided into load zones. Within each load zone, IoT devices are deployed to collect electrical parameters, including load response time nodes, power changes, and frequency deviation values. Based on the upstream and downstream logical relationships between power flow direction and frequency perturbation propagation order, the load response timestamps of IoT devices are synchronized and calibrated. Operation of each IoT device is instructed at the load response time nodes that meet these synchronization properties.

[0048] Step S2: Based on the distributed flexible load monitoring points, configure the identification information database and generate a regional equipment group.

[0049] Configure an identification information database for each distributed flexible load monitoring point. The identification information database records the index of distributed flexible load monitoring points, frequency change events, load areas and IoT devices. The index includes: the mth distributed flexible load monitoring point , nth frequency change event , the e-th load area and the rth IoT device .

[0050] Coordinate all IoT devices in the load area and generate regional device groups , R represents the total number of IoT devices, if the frequency change event Occurs in the load area When the regional device group is triggered The operation of each IoT device in the network is monitored and a frequency characteristic stream with synchronized load response timestamps is generated. , , q is the number of synchronization triggers, T is the timestamp of the initial load response, and , represents the gth load response time node, G represents the total number of load response time nodes;

[0051] In this embodiment, the following parameter settings are taken as an example for description.

[0052] Distributed monitoring points: 3 ;

[0053] Loading area: 3 (correspond signal coverage);

[0054] IoT devices: 2 devices deployed in each area ( - , - , - );

[0055] Frequency change event: (The initial value of frequency deviation is 0.5Hz);

[0056] Monitoring period: Synchronous trigger times , each period contains 2 load response event nodes (G=2, i.e. , ).

[0057] Step S3: Capture the electrical parameters collected by all IoT devices under the same frequency change event to generate grid status feature labels and form a frequency modulation characteristic matrix.

[0058] Capture frequency change events based on frequency signature flow and load areas The electrical parameters collected by all IoT devices in the corresponding load area are used to generate the grid state feature label, which is recorded as ,in, Represents frequency feature flow Underload area monitoring period, Indicates monitoring period Underload area The power variation within Indicates monitoring period Underload area The frequency deviation value within the monitoring period is equal to the power change value Load area at the start load response time node and the end load response time node The output power difference of the frequency deviation is the monitoring period Load area at the start load response time node and the end load response time node The difference in frequency values.

[0059] Establish a frequency modulation characteristic matrix with the number of synchronous triggering as the horizontal dimension and the load area as the vertical dimension, and divide the distributed flexible load monitoring points into In frequency change events The frequency modulation characteristic matrix generated when , then the frequency modulation characteristic matrix The matrix element corresponding to the qth row and the eth column is the grid state feature label ;

[0060] In this embodiment, the load area For example, collecting The electrical parameters under frequency change events include the following:

[0061] Time ( ): Power change ;Frequency deviation value ;

[0062] Grid status characteristic tags: ;

[0063] Similarly, generate labels for other regions and construct the frequency modulation feature matrix (Simplified to 2 rows and 3 columns, , ): .

[0064] Step S4: selecting a difference analysis object in the frequency modulation characteristic matrix, and evaluating the conduction difference of the difference analysis object based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order.

[0065] Based on the frequency modulation characteristic matrix, select the matrix elements For the difference analysis object, the first transmission difference and the second transmission difference in the upstream and downstream logical relationship are evaluated. The first transmission difference refers to the transmission difference of the load area itself during the monitoring period, and the second transmission difference refers to the transmission difference of the impact of the load area on the adjacent downstream load area during the monitoring period:

[0066] ;

[0067] Where, represents the first conduction difference, Represents the second conduction difference.

[0068] Select the maximum value between the first conduction difference and the second conduction difference ,like: , Then order ,like: , Then order .

[0069] In this embodiment, Take this as an example to illustrate.

[0070] , ; , which means To downstream The conduction effect is dominant.

[0071] Step S5: Based on the conduction difference, the frequency modulation characteristic matrix is ​​updated to generate a frequency change event conduction matrix, and the frequency modulation sensitivity correlation between the distributed flexible load monitoring points is evaluated.

[0072] Remove FM characteristic matrix The last row and last column of the frequency change event conduction matrix is ​​updated to 0 or 1, and recorded as ;

[0073] Frequency-Change Event Conduction Matrix , evaluate the frequency modulation sensitivity correlation between distributed flexible load monitoring points:

[0074] ;

[0075] Where, Indicates the distributed flexible load monitoring points in the same frequency change event and The FM sensitivity correlation between Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean intersection operation between them, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean union operation between them;

[0076] Let m=m+1 and perform iterative evaluation of FM sensitivity correlation.

[0077] This embodiment updates the frequency change event (remove the last row and column) as an example to illustrate.

[0078] , ;

[0079] calculate and The FM sensitivity correlation, .

[0080] Step S6: Based on the frequency regulation sensitivity correlation, analyze and generate a sequence of objects to be frequency regulated, and send it to the power grid operation and maintenance port.

[0081] Preset FM correlation threshold, if FM sensitivity correlation If it is greater than or equal to the frequency modulation associated threshold, the distributed flexible load monitoring point and Enter the FM control range Otherwise, it will not be included in the frequency control range middle;

[0082] Frequency control range The distributed flexible load monitoring points in the data are deduplicated, and after deduplication, the largest continuous distributed flexible load monitoring points are selected to form a sequence of objects to be regulated and sent to the power grid operation and maintenance port.

[0083] In this embodiment, the preset frequency modulation correlation threshold is 0.4, because , then and Enter the FM control range Medium; select the largest continuous sequence after removing duplicates , sent to the power grid operation and maintenance port.

[0084] The flexible load frequency modulation system of the present invention comprises:

[0085] An IoT device deployment unit, configured to divide load areas according to the signal coverage of distributed load monitoring points in the power grid and deploy IoT devices in each load area;

[0086] A frequency modulation characteristic matrix establishment unit is used to obtain electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event when a frequency change event occurs, and establish a frequency modulation characteristic matrix for each distributed load monitoring point under the frequency change event;

[0087] A conduction difference analysis unit is configured to analyze the conduction differences of each element in the frequency modulation characteristic matrix based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order, including the conduction differences of the load area itself and the conduction differences affecting the downstream load area; and update the values ​​of each element in the frequency modulation characteristic matrix based on the conduction differences to obtain the frequency change event conduction matrix.

[0088] A frequency modulation sensitivity analysis unit, configured to calculate a frequency modulation sensitivity correlation between the two distributed load monitoring points based on a frequency change event conduction matrix of the two distributed load monitoring points;

[0089] The frequency modulation unit is used to add the two distributed load monitoring points to a sequence of objects to be frequency modulated according to the relationship between the frequency modulation sensitivity correlation and its corresponding threshold; and send the sequence of objects to be frequency modulated to the power grid operation and maintenance port for frequency modulation.

[0090] The electronic device of the present invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the computer program is loaded into the processor, the flexible load frequency modulation method is implemented.

[0091] The computer-readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor, the method for flexible load frequency modulation is implemented.

[0092] The computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, flash memory, or any other medium that can be used to store program code in the form of instructions or data structures and that can be accessed by a computer.

[0093] The processor is configured to execute the computer program stored in the memory to implement the various steps in the method involved in the above embodiment.

Claims

1. A method for flexible load frequency modulation, characterized in that: The steps include: Divide the load area according to the signal coverage of the distributed load monitoring points in the power grid, and deploy IoT devices in each load area; When a frequency change event occurs, the electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event are obtained, and a frequency modulation feature matrix of each distributed load monitoring point under the frequency change event is established; For each element in the frequency modulation characteristic matrix, the conduction difference is analyzed according to the upstream and downstream logical relationship of the power flow direction and the frequency disturbance propagation order, including the conduction difference of the load area itself and the conduction difference of the impact on the downstream load area; updating the value of each element in the frequency modulation characteristic matrix according to the conduction difference to obtain a frequency change event conduction matrix; Calculating the frequency modulation sensitivity correlation between the two distributed load monitoring points according to the frequency change event conduction matrix of the two distributed load monitoring points; According to the relationship between the frequency modulation sensitivity correlation degree and its corresponding threshold value, the two distributed load monitoring points are added to the sequence of objects to be frequency regulated; Send the sequence of objects to be frequency regulated to the grid operation and maintenance port for frequency regulation.

2. The method for flexible load frequency modulation according to claim 1, characterized in that: When a frequency change event occurs, obtaining electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event and establishing a frequency modulation feature matrix for each distributed load monitoring point under the frequency change event includes: The IoT devices in each load area form a regional device group. When a frequency change event occurs within the area, the corresponding regional equipment group is triggered to run and generate a frequency characteristic flow , Indicates the load response timestamp of the qth synchronization trigger.

3. The method for flexible load frequency modulation according to claim 2, characterized in that: When a frequency change event occurs, obtaining electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event and establishing a frequency modulation feature matrix for each distributed load monitoring point under the frequency change event includes: Distributed flexible load monitoring points In frequency change events Frequency modulation characteristic matrix under In the example, the number of synchronous triggers is the horizontal dimension, the load area is the vertical dimension, and the element corresponding to the qth row and the eth column is the grid state feature label. ; ,in, Represents frequency feature flow Underload area monitoring period, Indicates monitoring period Underload area The power variation within Indicates monitoring period Underload area The frequency deviation value within.

4. The method for flexible load frequency modulation according to claim 3, characterized in that: For each element in the frequency modulation characteristic matrix, the conduction difference is analyzed based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order, including the conduction difference of the load area itself and the impact on the downstream load area. The conduction difference includes: The self-conduction difference of the load area for: ； The impact of the conduction differences on the downstream load area for: 。 5. The method for flexible load frequency modulation according to claim 4, characterized in that: The updating of the value of each element in the frequency modulation characteristic matrix according to the conduction difference to obtain the frequency change event conduction matrix includes: If the load area's own conduction difference is greater than the impact conduction difference on the downstream load area, then let , otherwise let ; Remove FM characteristic matrix The last row and column of the frequency change event transmission matrix are updated with a value of 0 or 1. .

6. The method for flexible load frequency modulation according to claim 5, characterized in that: Calculating the frequency modulation sensitivity correlation between the two distributed load monitoring points according to the frequency change event conduction matrix of the two distributed load monitoring points includes: Frequency change events Distributed flexible load monitoring points and FM sensitivity correlation between ; in, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean intersection operation between them, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean union operation between them.

7. The method for flexible load frequency modulation according to claim 1, characterized in that: The adding the two distributed load monitoring points to the sequence of objects to be frequency regulated according to the relationship between the frequency regulation sensitivity correlation and its corresponding threshold value comprises: If the frequency modulation sensitivity correlation is not less than its corresponding threshold, the two distributed load monitoring points are recorded in the frequency modulation control range, and the distributed flexible load monitoring points in the frequency modulation control range are deduplicated. After deduplication, the largest continuous distributed flexible load monitoring points are selected to form a sequence of objects to be frequency modulated.

8. The method for flexible load frequency modulation according to claim 1, characterized in that: The load area division is performed according to the signal coverage of the distributed load monitoring points in the power grid, and the deployment of IoT devices in each load area includes: Based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order, the synchronization of the load response timestamps of IoT devices is calibrated.

9. A flexible load frequency modulation system, characterized in that: include: An IoT device deployment unit, configured to divide load areas according to the signal coverage of distributed load monitoring points in the power grid and deploy IoT devices in each load area; A frequency modulation characteristic matrix establishment unit is used to obtain electrical parameters collected by all IoT devices in the load area corresponding to the frequency change event when a frequency change event occurs, and establish a frequency modulation characteristic matrix for each distributed load monitoring point under the frequency change event; A conduction difference analysis unit is configured to analyze the conduction differences of each element in the frequency modulation characteristic matrix based on the upstream and downstream logical relationship between the power flow direction and the frequency disturbance propagation order, including the conduction differences of the load area itself and the conduction differences affecting the downstream load area; and update the values ​​of each element in the frequency modulation characteristic matrix based on the conduction differences to obtain the frequency change event conduction matrix. A frequency modulation sensitivity analysis unit, configured to calculate a frequency modulation sensitivity correlation between the two distributed load monitoring points based on a frequency change event conduction matrix of the two distributed load monitoring points; The frequency modulation unit is used to add the two distributed load monitoring points to a sequence of objects to be frequency modulated according to the relationship between the frequency modulation sensitivity correlation and its corresponding threshold; and send the sequence of objects to be frequency modulated to the power grid operation and maintenance port for frequency modulation.

10. The flexible load frequency modulation system according to claim 9, characterized in that: In the frequency modulation characteristic matrix establishment unit, the IoT devices in each load area form a regional device group. When a frequency change event occurs within the area, the corresponding regional equipment group is triggered to run and generate a frequency characteristic flow , Indicates the load response timestamp of the qth synchronization trigger.

11. The flexible load frequency modulation system according to claim 10, characterized in that: In the frequency modulation characteristic matrix establishment unit, the distributed flexible load monitoring point In frequency change events The frequency modulation characteristic matrix under In the example, the number of synchronous triggers is the horizontal dimension, the load area is the vertical dimension, and the element corresponding to the qth row and the eth column is the grid state feature label. ; ,in, Represents frequency feature flow Underload area monitoring period, Indicates monitoring period Underload area The power variation within Indicates monitoring period Underload area The frequency deviation value within.

12. The flexible load frequency modulation system according to claim 11, characterized in that: In the conduction difference analysis unit, the conduction difference of the load area itself for: ； The impact of the conduction differences on the downstream load area for: 。 13. The flexible load frequency modulation system according to claim 12, characterized in that: In the conduction difference analysis unit, if the conduction difference of the load area itself is greater than the conduction difference of the downstream load area, then , otherwise let ; Remove FM characteristic matrix The last row and column of the frequency change event transmission matrix are updated with a value of 0 or 1. .

14. The flexible load frequency modulation system according to claim 13, characterized in that: Frequency change events in the FM sensitivity analysis unit Distributed flexible load monitoring points and FM sensitivity correlation between ; in, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean intersection operation between them, Represents the frequency change event conduction matrix and The number of matrix elements with a value of 1 included in the Boolean union operation between them.

15. The flexible load frequency modulation system according to claim 9, characterized in that: In the frequency modulation unit, if the frequency modulation sensitivity correlation is not less than its corresponding threshold, the two distributed load monitoring points are recorded in the frequency modulation control range, and the distributed flexible load monitoring points in the frequency modulation control range are deduplicated. After deduplication, the largest continuous distributed flexible load monitoring points are selected to form a sequence of objects to be frequency regulated.

16. The flexible load frequency modulation system according to claim 9, characterized in that: In the IoT device deployment unit, the synchronization of the load response timestamps of IoT devices is calibrated based on the upstream and downstream logical relationship of the power flow direction and the frequency disturbance propagation order.

17. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the computer program is loaded into a processor, the method for flexible load frequency modulation according to any one of claims 1 to 8 is implemented.

18. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for flexible load frequency modulation according to any one of claims 1 to 8 is implemented.

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