Frequency modulation device cluster division method and apparatus

Abstract

The application provides a frequency modulation device cluster division method and device. The method comprises the following steps: when it is detected that the change of the power grid frequency in a preset time period exceeds a specified interval, calculating the frequency modulation participation amount of the frequency modulation devices in each frequency modulation node in the preset time period, grouping the frequency modulation devices according to the frequency modulation participation amount, and calculating the reaction performance of the frequency modulation devices in different combinations; generating a frequency modulation device network according to the frequency modulation devices in different combinations; calculating the reaction performance distance of each two frequency modulation devices according to the reaction performance of the two frequency modulation devices; calculating the frequency modulation potential of the frequency modulation devices in the frequency modulation device network, calculating the frequency modulation potential distance of each two frequency modulation devices according to the frequency modulation potential of the two frequency modulation devices; clustering the frequency modulation devices in the frequency modulation device network according to the reaction performance distance of each two frequency modulation devices, and then clustering the clustering result again according to the frequency modulation potential distance of each two frequency modulation devices, so as to obtain multiple optimal frequency modulation device clusters meeting actual needs.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a method and apparatus for dividing frequency regulation equipment clusters. Background Technology

[0002] As the penetration rate of new energy and power electronic equipment gradually increases, the power grid type is gradually becoming a weak power grid. The defects that cannot support dynamic frequency response will become more and more obvious. The power system will face the risks of reduced synchronous generator capacity and reduced system inertia, and the safe operation of the power grid will be threatened. The traditional mode of relying on thermal power units for system frequency regulation urgently needs to be transformed.

[0003] Currently, distributed frequency regulation nodes connected to the power grid typically have a large number of frequency regulation devices with relatively small individual access capacities. Utilizing a massive number of frequency regulation devices to assist in the safe and stable operation of the power grid can reduce the investment cost of dedicated resources. Traditional frequency regulation device clustering is based on the device type within the frequency regulation node. Due to the wide variety of frequency regulation devices, uneven distribution of these devices can easily occur, hindering their ability to assist in frequency regulation and leading to resource waste.

[0004] A patent publication, CN113489073A, involves clustering wind turbines into the same group based on the actual wind speed at the wind farm, with turbines in the same group receiving the same control variables. However, this approach fails to consider the responsiveness and frequency regulation potential of the frequency regulation equipment, resulting in poor clustering performance and a deviation from actual needs. Therefore, how to ensure that the clustering of frequency regulation equipment meets practical requirements has become a pressing technical problem. Summary of the Invention

[0005] This invention provides a method and apparatus for dividing frequency modulation equipment clusters.

[0006] In a first aspect, embodiments of the present invention provide a method for partitioning frequency modulation equipment clusters, the method comprising:

[0007] The frequency of the power grid is monitored within a preset time period. When the detected change exceeds the specified range, the frequency regulation participation of each frequency regulation node in the power grid within the preset time period is calculated.

[0008] Based on the frequency modulation participation of the frequency modulation equipment, the frequency modulation equipment is grouped to obtain multiple frequency modulation equipment combinations; the response performance of the frequency modulation equipment in each of the multiple frequency modulation equipment combinations is calculated.

[0009] Generate a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices;

[0010] Calculate the response performance distance between any two frequency modulation devices in the frequency modulation equipment network; calculate the frequency modulation potential of the frequency modulation devices in the frequency modulation equipment network, and calculate the frequency modulation potential distance between any two frequency modulation devices based on their frequency modulation potential.

[0011] Based on the response performance distance between every two frequency modulation devices, the frequency modulation devices in the frequency modulation device network are clustered to obtain multiple candidate frequency modulation device clusters. Then, based on the frequency modulation potential distance between every two frequency modulation devices, the multiple candidate frequency modulation device clusters are clustered to obtain multiple optimal frequency modulation device clusters.

[0012] In some possible implementations of the first aspect, calculating the frequency regulation participation of each frequency regulation node within the power grid, including the frequency regulation equipment, during a preset time period includes:

[0013] The difference is calculated by taking the net load power of the frequency modulation equipment at the end of the preset time period as the minuend and the net load power of the frequency modulation equipment at the beginning of the preset time period as the subtrahend. The difference is used as the frequency modulation participation amount of the frequency modulation equipment within the preset time period.

[0014] In some possible implementations of the first aspect, the frequency modulation devices are grouped according to their frequency modulation participation, resulting in multiple combinations of frequency modulation devices, including:

[0015] Analyze the numerical values ​​of frequency modulation participation parameters in frequency modulation equipment;

[0016] When the value of the frequency modulation input of the frequency modulation equipment is positive, the frequency modulation direction of the frequency modulation equipment is determined to be upward frequency modulation;

[0017] When the value of the frequency modulation input of the frequency modulation equipment is negative, the frequency modulation direction of the frequency modulation equipment is determined to be downward frequency modulation;

[0018] Frequency modulation equipment with an upward frequency modulation direction is classified as the first frequency modulation equipment group, and frequency modulation equipment with a downward frequency modulation direction is classified as the second frequency modulation equipment group.

[0019] In some possible implementations of the first aspect, the response performance of the frequency modulation devices in a combination of multiple frequency modulation devices is calculated separately, including:

[0020] Obtain the first operating parameters of the frequency modulation equipment in the first frequency modulation equipment combination, and the second operating parameters of the frequency modulation equipment in the second frequency modulation equipment combination;

[0021] The first operating parameters include: the power of the frequency modulation equipment to increase the frequency at the end of the preset time period, the average response time of the flexible resources of the frequency modulation equipment, the maximum ramp rate of the frequency modulation equipment, the maximum net load power of the frequency modulation equipment participating in frequency modulation at the end of the preset time period, and the net load power of the frequency modulation equipment at the end of the preset time period.

[0022] The second operating parameters include: the power of the frequency modulation equipment to down-modulate at the end of the preset time period, the average response time of the flexible resources of the frequency modulation equipment, the maximum down-slope rate of the frequency modulation equipment, the minimum net load power of the frequency modulation equipment participating in frequency modulation at the end of the preset time period, and the net load power of the frequency modulation equipment at the end of the preset time period.

[0023] Using the first operating parameters of the frequency modulation equipment in the first frequency modulation equipment assembly, calculate the response performance of the frequency modulation equipment in the first frequency modulation equipment assembly;

[0024] The response performance of the frequency modulation equipment in the second frequency modulation equipment assembly is calculated using the second operating parameters of the frequency modulation equipment in the second frequency modulation equipment assembly.

[0025] In some possible implementations of the first aspect, a frequency modulation device network is generated based on the frequency modulation devices in a combination of multiple frequency modulation devices, including:

[0026] Remove frequency modulation devices with a response performance of 0 from multiple frequency modulation device combinations, and generate a frequency modulation device network based on the frequency modulation devices that were not removed from the multiple frequency modulation device combinations.

[0027] In some possible implementations of the first aspect, calculating the frequency modulation potential of frequency modulation devices in a frequency modulation device network includes:

[0028] Calculate the frequency modulation cost index and user satisfaction index of frequency modulation equipment in the frequency modulation equipment network;

[0029] For any frequency modulation device in the frequency modulation equipment network, the frequency modulation cost index and user satisfaction index of the frequency modulation device are weighted and summed, and the weighted sum is used as the frequency modulation potential of the frequency modulation device.

[0030] In some possible implementations of the first aspect, the frequency modulation cost index of frequency modulation equipment in a frequency modulation equipment network includes:

[0031] Calculate the frequency modulation cost of the frequency modulation equipment in the frequency modulation equipment network based on the frequency modulation participation of the frequency modulation equipment in the network;

[0032] The frequency modulation cost of frequency modulation equipment in the frequency modulation equipment network is standardized to obtain the frequency modulation cost index of frequency modulation equipment in the frequency modulation equipment network.

[0033] In some possible implementations of the first aspect, the calculation of user satisfaction metrics for frequency modulation (FM) devices in a FM device network includes:

[0034] Based on the maximum and minimum frequency modulation participation of the frequency modulation equipment in the frequency modulation equipment network, and the net load power of the frequency modulation equipment at the start of a preset time period, calculate the user satisfaction index of the frequency modulation equipment in the frequency modulation equipment network.

[0035] In a second aspect, embodiments of the present invention provide a frequency modulation equipment cluster partitioning device, the device comprising:

[0036] The detection module is used to detect changes in the power grid frequency within a preset time period. When the detected changes exceed the specified range, it calculates the frequency regulation participation of each frequency regulation node in the power grid within the preset time period.

[0037] The grouping module is used to group the frequency modulation equipment according to the frequency modulation participation of the frequency modulation equipment to obtain multiple frequency modulation equipment combinations; and to calculate the response performance of the frequency modulation equipment in each of the multiple frequency modulation equipment combinations.

[0038] The generation module is used to generate a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices;

[0039] The calculation module is used to calculate the response performance distance between any two frequency modulation devices in the frequency modulation device network based on their response performance; calculate the frequency modulation potential of the frequency modulation devices in the frequency modulation device network, and calculate the frequency modulation potential distance between any two frequency modulation devices based on their frequency modulation potential.

[0040] The clustering module is used to cluster the frequency modulation devices in the frequency modulation device network according to the response performance distance between every two frequency modulation devices to obtain multiple candidate frequency modulation device clusters. Then, based on the frequency modulation potential distance between every two frequency modulation devices, the multiple candidate frequency modulation device clusters are clustered to obtain multiple optimal frequency modulation device clusters.

[0041] In some possible implementations of the second aspect, the computation module is specifically used for:

[0042] Calculate the frequency modulation cost index and user satisfaction index of frequency modulation equipment in the frequency modulation equipment network;

[0043] For any frequency modulation device in the frequency modulation equipment network, the frequency modulation cost index and user satisfaction index of the frequency modulation device are weighted and summed, and the weighted sum is used as the frequency modulation potential of the frequency modulation device.

[0044] In embodiments of the present invention, when the change in grid frequency within a preset time period exceeds a specified interval, the frequency regulation participation of frequency regulation equipment within each frequency regulation node within the preset time period can be calculated. This allows for grouping of the frequency regulation equipment, and the response performance of the frequency regulation equipment in different combinations can be calculated. A frequency regulation equipment network is generated based on the frequency regulation equipment in different combinations. The response performance distance between any two frequency regulation equipment is calculated. The frequency regulation potential of the frequency regulation equipment in the network is calculated, and the frequency regulation potential distance between any two frequency regulation equipment is calculated. The frequency regulation equipment in the network is clustered based on the response performance distance between any two frequency regulation equipment. Then, the clustering results are clustered again based on the frequency regulation potential distance between any two frequency regulation equipment to obtain multiple optimal frequency regulation equipment clusters that meet actual needs. This effectively improves the cluster partitioning effect, enhances the utilization rate of distributed frequency regulation equipment, improves the overall coordinated control level between different frequency regulation equipment clusters, and enhances the dynamic stability of the power system.

[0045] It should be understood that the description in the Summary of the Invention is not intended to limit the key or essential features of the embodiments of the present invention, nor is it intended to restrict the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0046] The above and other features, advantages, and aspects of the various embodiments of the present invention will become more apparent from the accompanying drawings and the following detailed description. The drawings are provided for a better understanding of the invention and are not intended to limit the invention. In the drawings, the same or similar reference numerals denote the same or similar elements, wherein:

[0047] Figure 1 A flowchart of a frequency modulation equipment cluster partitioning method provided by an embodiment of the present invention is shown;

[0048] Figure 2 The diagram shows a structural diagram of a frequency modulation equipment cluster partitioning device provided by an embodiment of the present invention. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0051] To address the problems in the background art, embodiments of the present invention provide a method and apparatus for partitioning frequency regulation equipment clusters. Specifically, when a change in the grid frequency within a preset time period is detected to exceed a specified interval, the frequency regulation participation of frequency regulation equipment within each frequency regulation node within the preset time period is calculated, thereby grouping the frequency regulation equipment. The response performance of frequency regulation equipment in different combinations is calculated. A frequency regulation equipment network is generated based on the frequency regulation equipment in different combinations. The response performance distance between any two frequency regulation equipment is calculated. The frequency regulation potential of the frequency regulation equipment in the network is calculated, and the frequency regulation potential distance between any two frequency regulation equipment is calculated. The frequency regulation equipment in the network is clustered based on the response performance distance between any two frequency regulation equipment. Then, the clustering results are clustered again based on the frequency regulation potential distance between any two frequency regulation equipment to obtain multiple optimal frequency regulation equipment clusters that meet actual needs. This effectively improves the cluster partitioning effect, enhances the utilization rate of distributed frequency regulation equipment, and helps improve the overall coordinated control level between different frequency regulation equipment clusters, thereby improving the dynamic stability of the power system.

[0052] The frequency modulation equipment cluster partitioning method and apparatus provided by the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0053] Figure 1 A flowchart of a frequency modulation equipment cluster partitioning method provided by an embodiment of the present invention is shown, as follows: Figure 1 As shown, the frequency modulation equipment cluster partitioning method 100 may include the following steps:

[0054] S110 detects the changes in the power grid frequency within a preset time period. When the detected changes exceed the specified range, it calculates the frequency regulation participation of each frequency regulation node in the power grid within the preset time period.

[0055] Because the output and load of distributed power sources have certain uncertainties, the grid frequency will change randomly under the dual disturbance of source and load. Therefore, the change of grid frequency within a preset time period can be detected in real time. When the detected change exceeds the specified interval, the frequency regulation participation of each frequency regulation node in the grid within the preset time period can be calculated.

[0056] Alternatively, the calculation process for the frequency modulation participation can be as follows:

[0057] Assuming that the change in net load power of the frequency modulation equipment is negligible, the difference is calculated by taking the net load power of the frequency modulation equipment at the end of the preset time period as the minuend and the net load power of the frequency modulation equipment at the beginning of the preset time period as the subtrahend. The difference is used as the frequency modulation participation of the frequency modulation equipment within the preset time period.

[0058] For example, the frequency modulation participation of the frequency modulation device within a preset time period can be calculated according to formula (1). Formula (1) is shown below:

[0059] ΔP m (t)=P m (t+a)-P m (t) (1)

[0060] Where, ΔP m (t) represents the frequency modulation participation of frequency modulation equipment m within a preset time period a (i.e., flexible resource shortage), P m (t+a) represents the net load power of the frequency modulation equipment m at the end of the preset time period (time t+a), P m (t) represents the net load power of the frequency modulation device m at the beginning of the preset time period (time t).

[0061] S120: Based on the frequency modulation participation of the frequency modulation equipment, the frequency modulation equipment is grouped to obtain multiple frequency modulation equipment combinations; the response performance of the frequency modulation equipment in the multiple frequency modulation equipment combinations is calculated respectively.

[0062] Referring to the example in S110, to restore the grid frequency to its original level after a disturbance, in formula (1), when ΔP_m(t) is less than 0, i.e., the net load power of the frequency modulation device m decreases, it indicates that the frequency modulation device m can down-modulate the grid frequency; conversely, when ΔP_m(t) is greater than 0, i.e., the net load power of the frequency modulation device m increases, it indicates that the frequency modulation device m can up-modulate the grid frequency; when ΔP_m(t) equals 0, it indicates that the frequency modulation device m has no frequency modulation response capability. Therefore, the sign of ΔP_m(t) can represent the direction of frequency modulation by the frequency modulation device m, either up or down.

[0063] In view of this, the values ​​of the frequency modulation participation parameters of the frequency modulation equipment can be analyzed. When the value of the frequency modulation participation parameter of the frequency modulation equipment is positive, the frequency modulation direction of the frequency modulation equipment is determined to be upward frequency modulation. When the value of the frequency modulation participation parameter of the frequency modulation equipment is negative, the frequency modulation direction of the frequency modulation equipment is determined to be downward frequency modulation. Then, the frequency modulation equipment with the frequency modulation direction of upward frequency modulation is classified into the first frequency modulation equipment group, and the frequency modulation equipment with the frequency modulation direction of downward frequency modulation is classified into the second frequency modulation equipment group.

[0064] In some embodiments, the first operating parameters of the frequency modulation device in the first frequency modulation device assembly and the second operating parameters of the frequency modulation device in the second frequency modulation device assembly can be obtained.

[0065] The first operating parameters include: the power of the frequency modulation equipment to increase the frequency at the end of the preset time period, the average response time of the flexible resources of the frequency modulation equipment, the maximum ramp rate of the frequency modulation equipment, the maximum net load power of the frequency modulation equipment participating in frequency modulation at the end of the preset time period, and the net load power of the frequency modulation equipment at the end of the preset time period.

[0066] The second operating parameters include: the power of the frequency modulation equipment to down-modulate at the end of the preset time period, the average response time of the flexible resources of the frequency modulation equipment, the maximum down-slope rate of the frequency modulation equipment, the minimum net load power of the frequency modulation equipment participating in frequency modulation at the end of the preset time period, and the net load power of the frequency modulation equipment at the end of the preset time period.

[0067] The response performance of the frequency modulation equipment in the first frequency modulation equipment assembly is calculated using the first operating parameters of the frequency modulation equipment in the first frequency modulation equipment assembly.

[0068] The response performance of the frequency modulation equipment in the second frequency modulation equipment assembly is calculated using the second operating parameters of the frequency modulation equipment in the second frequency modulation equipment assembly.

[0069] As an example, considering the resource response time and the short-term adjustable capacity of the resources, the response performance of the frequency modulation equipment in the first frequency modulation equipment combination can be calculated according to formula (2), and the response performance of the frequency modulation equipment in the second frequency modulation equipment combination can be calculated according to formula (3). Formulas (2) and (3) are as follows:

[0070]

[0071]

[0072] in, This indicates the responsiveness (upward responsiveness) of frequency modulation device m in the first frequency modulation device assembly; This represents the power of the frequency modulation device m at the end of the preset time period (time t+a) to adjust the frequency upwards (the instantaneous power of the upward frequency adjustment); t r,m This represents the average response time of flexible resources for the frequency modulation device m. P represents the maximum ramp rate of the frequency modulation device m. maxg m (t+a) represents the maximum net load power of the frequency modulation device m participating in frequency modulation at the end of the preset time period; P g,m (t+a) represents the net load power of the frequency modulation device m at the end of the preset time period (time t+a).

[0073] This indicates the responsiveness (downward responsiveness) of frequency modulation device n in the second frequency modulation device assembly; This represents the power of the frequency modulation device n at the end of the preset time period (time t+a) when it lowers the frequency (the power of the instantaneous upward frequency modulation); t r,n This represents the average response time of the flexible resources of the frequency modulation device n; P represents the maximum downslope rate of the frequency modulation device n; ming,n (t+a) represents the minimum net load power of frequency modulation equipment n participating in frequency modulation at the end of the preset time period; P g,n (t+a) represents the net load power of frequency modulation device n at the end of the preset time period (time t+a).

[0074] In this way, the response performance of the frequency modulation devices in the first frequency modulation device combination and the second frequency modulation device combination can be accurately and quickly calculated based on the first operating parameters of the frequency modulation devices in the first frequency modulation device combination and the second operating parameters of the frequency modulation devices in the second frequency modulation device combination.

[0075] S130 generates a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices.

[0076] In some embodiments, frequency modulation devices with a response performance of 0 can be removed from multiple frequency modulation device combinations, and a frequency modulation device network can be generated based on the frequency modulation devices that have not been removed from the multiple frequency modulation device combinations.

[0077] S140, calculate the response performance distance between every two frequency modulation devices in the frequency modulation device network based on their response performance; calculate the frequency modulation potential of the frequency modulation devices in the frequency modulation device network, and calculate the frequency modulation potential distance between every two frequency modulation devices based on their frequency modulation potential.

[0078] For example, the response performance distance (the degree of similarity in response performance) between two frequency modulation devices can be calculated according to formula (4). Formula (4) is shown below:

[0079]

[0080] Where, d R,m,n d R,n,m ΔP represents the responsiveness distance between frequency modulation device m and frequency modulation device n in a frequency modulation device network. m,a(t) ΔP represents the responsiveness of the frequency modulation device m. n,a(t) This indicates the responsiveness of the frequency modulation device n.

[0081] In some embodiments, the frequency modulation cost index and user satisfaction index of the frequency modulation equipment in the frequency modulation equipment network can be calculated. For any frequency modulation equipment in the frequency modulation equipment network, the frequency modulation cost index and user satisfaction index of the frequency modulation equipment are weighted and summed, and the weighted summation result is used as the frequency modulation potential of the frequency modulation equipment.

[0082] The calculation process for the frequency modulation cost index and the user satisfaction index can be as follows:

[0083] Based on the frequency modulation participation of the frequency modulation equipment in the frequency modulation equipment network, the frequency modulation cost of the frequency modulation equipment in the frequency modulation equipment network is calculated. The frequency modulation cost of the frequency modulation equipment in the frequency modulation equipment network is then standardized to quickly obtain the frequency modulation cost index of the frequency modulation equipment in the frequency modulation equipment network.

[0084] For example, the frequency modulation cost of frequency modulation equipment in a frequency modulation equipment network can be calculated according to formula (5). Formula (5) is shown below:

[0085] c m (|ΔP m (t)|)=b 1,m .|ΔP m (t)| 2 +b 2,m .|ΔP m (t)|+b 3,m (5)

[0086] Among them, c m (|ΔP m (t)|) represents the frequency modulation cost of frequency modulation device m in the frequency modulation device network; ΔP m (t) represents the frequency modulation participation of the frequency modulation device m; b 1,m b 2,m and b 3,m The frequency modulation cost coefficient of frequency modulation equipment m is represented, which can be obtained by fitting the historical operating data of frequency modulation equipment m.

[0087] The frequency modulation cost of the frequency modulation equipment in the frequency modulation equipment network can be standardized according to formula (6) to obtain the frequency modulation cost index of the frequency modulation equipment in the frequency modulation equipment network. Formula (6) is shown below:

[0088]

[0089] Among them, C m (|ΔP m (t)|) represents the frequency modulation cost index of frequency modulation equipment m in the frequency modulation equipment network; max c m (|ΔP m(t)|) represents the maximum frequency modulation cost of all frequency modulation devices in the frequency modulation device network; min c m (|ΔP m (t)|) represents the minimum frequency modulation cost of all frequency modulation devices in the frequency modulation device network.

[0090] Based on the maximum and minimum frequency regulation participation of frequency regulation equipment in the frequency regulation equipment network, and the net load power of the frequency regulation equipment at the start of a preset time period, the user satisfaction index of the frequency regulation equipment in the network is quickly calculated. The user satisfaction index represents users' experience with electricity usage and influences their willingness to participate in regulation.

[0091] For example, the user satisfaction index of frequency modulation (FM) devices in an FM network can be calculated according to formula (7). Formula (7) is shown below:

[0092]

[0093] Among them, S m p represents the user satisfaction index of frequency modulation equipment m in a frequency modulation equipment network; m (t) represents the net load power of the frequency modulation equipment m at the beginning of the preset time period (time t); maxΔp s,m (t) represents the maximum frequency modulation participation (FM) of the FM equipment m, which is also the maximum FM participation acceptable to the user to whom the FM equipment belongs, minΔp s,m (t) represents the minimum frequency modulation participation of the frequency modulation equipment m, that is, the minimum frequency modulation participation acceptable to the user to which the frequency modulation equipment belongs. Optionally, maxΔp s,m (t)=ΔP m,a (t), ΔP m,a (t) represents the response performance of the frequency modulation device m, minΔp s,m (t) = 0.

[0094] Accordingly, the frequency modulation potential of the frequency modulation equipment can be obtained by weighted summing of the frequency modulation cost index and the user satisfaction index according to formula (8). Formula (8) is shown below:

[0095] R p,m =λ 1,m C m (p m )+λ 2,m S m (8)

[0096] Among them, R p,m C represents the frequency modulation potential of frequency modulation device m in a frequency modulation device network; m (p m ) represents the frequency modulation cost index of frequency modulation equipment m; Sm λ represents the user satisfaction index for frequency modulation equipment m; 1,m and λ 2,m These represent the weights of the frequency modulation cost index and the user satisfaction index for the frequency modulation equipment m, respectively.

[0097] Optionally, the frequency modulation potential distance between every two frequency modulation devices can be calculated according to formula (9). Formula (9) is shown below:

[0098]

[0099] Where, d P,m,n d P,n,m R represents the frequency modulation potential distance between frequency modulation device m and frequency modulation device n in a frequency modulation device network. p,m R represents the frequency modulation potential of the frequency modulation device m. p,n This represents the frequency modulation potential of the frequency modulation device n.

[0100] S150: Based on the response performance distance between every two frequency modulation devices, the frequency modulation devices in the frequency modulation device network are clustered to obtain multiple candidate frequency modulation device clusters. Based on the frequency modulation potential distance between every two frequency modulation devices, the multiple candidate frequency modulation device clusters are clustered to obtain multiple optimal frequency modulation device clusters.

[0101] In some embodiments, the algorithm used to cluster FM devices in the FM device network based on the response performance distance between every two FM devices can be a community detection algorithm, as follows:

[0102] 1. Treat each FM device in the FM device network as an initial community, and calculate the initial modularity of the FM device network.

[0103] 2. Arbitrarily select communities m and n from the FM equipment network to combine them into a new community, and then solve for the modularity Q of the merged FM equipment network. mod .

[0104] 3. Calculate the modularity increment when community m is combined with other communities respectively. If maxΔQ mod If the value is greater than 0, then community m will be merged into the maximum module degree increment maxΔQ. mod The corresponding club will be merged, and the resulting club will be considered a new club; otherwise, it will remain unchanged.

[0105] 4. Repeat steps 2-3 until a club is formed.

[0106] 5. Q mod The communities corresponding to the maximum value are selected as candidate FM equipment clusters.

[0107] As an example, the formula for calculating the modularity of an FM device network can be as follows:

[0108]

[0109] Among them, Q mod A represents the modularity of the frequency modulation equipment network Q; a,m,n d represents the weight between frequency modulation devices m and n in the frequency modulation device network Q; R,m,n This represents the responsiveness distance between frequency modulation devices m and n in the frequency modulation device network Q; m a m represents the sum of the weights of the frequency modulation devices in the frequency modulation device network Q. a =0.5×∑ m,n A a,m,n ;s a,m s represents the sum of the weights of the groups formed with the frequency modulation device m. a,m =∑ n A a,m,n s a,n s represents the sum of the weights of the groups formed with frequency modulation device n. a,n =∑ n A a,m,n c a,m and c a,n These represent the community numbers of FM equipment m and FM equipment n, respectively. When c a,m =c a,m At that time, δ(c) a,m ,c a,n ) = 1, otherwise δ(c) a,m ,c a,n ) = 0.

[0110] Accordingly, based on the frequency modulation potential distance between every two frequency modulation devices, multiple candidate frequency modulation device clusters are clustered to obtain multiple optimal frequency modulation device clusters, as follows:

[0111] Referring to steps 1-5, the community detection algorithm can be used again to further divide the multiple candidate FM equipment clusters, and Q... mod The communities corresponding to the maximum value are considered as optimal FM equipment clusters. At this point, each candidate FM equipment cluster in the FM equipment network is regarded as an initial community, and the formula for calculating the modularity of the FM equipment network can be as follows:

[0112]

[0113] Among them, Q mod A represents the modularity of the frequency modulation equipment network Q; a,m,n d represents the weight between frequency modulation devices m and n in the frequency modulation device network Q; P,m,nThis represents the frequency modulation potential distance between frequency modulation devices m and n in the frequency modulation device network Q; m a m represents the sum of the weights of the frequency modulation devices in the frequency modulation device network Q. a =0.5×∑ m,n A a,m,n ;s a,m s represents the sum of the weights of the groups formed with the frequency modulation device m. a,m =∑ n A a,m,n s a,n s represents the sum of the weights of the groups formed with frequency modulation device n. a,n =∑ n A a,m,n c a,m and c a,n These represent the community numbers of FM equipment m and FM equipment n, respectively. When c a,m =c a,m At that time, δ(c) a,m ,c a,n ) = 1, otherwise δ(c) a,m ,c a,n ) = 0.

[0114] In the embodiments of the present invention, the division of frequency regulation equipment clusters can meet actual needs, effectively improve the cluster division effect, enhance the utilization rate of distributed frequency regulation equipment, improve the overall coordinated control level between different frequency regulation equipment clusters, and improve the dynamic stability of the power system.

[0115] In some embodiments, the optimal frequency regulation equipment cluster can be controlled in real time to perform power grid frequency regulation.

[0116] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0117] The above is an introduction to the method embodiments. The following describes the solution of the present invention further through device embodiments.

[0118] Figure 2 The diagram shows a structural diagram of a frequency modulation equipment cluster partitioning device according to an embodiment of the present invention, as shown below. Figure 2 As shown, the frequency modulation equipment cluster partitioning device 200 may include:

[0119] The detection module 210 is used to detect the changes in the power grid frequency within a preset time period. When the detected changes exceed the specified range, it calculates the frequency regulation participation of each frequency regulation node in the power grid, including the frequency regulation equipment, within the preset time period.

[0120] Grouping module 220 is used to group the frequency modulation equipment according to the frequency modulation participation of the frequency modulation equipment to obtain multiple frequency modulation equipment combinations; and to calculate the response performance of the frequency modulation equipment in the multiple frequency modulation equipment combinations respectively.

[0121] The generation module 230 is used to generate a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices.

[0122] The calculation module 240 is used to calculate the response performance distance between two frequency modulation devices based on the response performance of each pair of frequency modulation devices in the frequency modulation device network; calculate the frequency modulation potential of the frequency modulation devices in the frequency modulation device network; and calculate the frequency modulation potential distance between two frequency modulation devices based on the frequency modulation potential of each pair of frequency modulation devices in the frequency modulation device network.

[0123] Clustering module 250 is used to cluster the frequency modulation devices in the frequency modulation device network according to the response performance distance between every two frequency modulation devices to obtain multiple candidate frequency modulation device clusters, and to cluster the multiple candidate frequency modulation device clusters according to the frequency modulation potential distance between every two frequency modulation devices to obtain multiple optimal frequency modulation device clusters.

[0124] In some embodiments, the calculation module 210 is specifically used for:

[0125] Calculate the frequency modulation cost and user satisfaction indicators of frequency modulation equipment in a frequency modulation equipment network;

[0126] For any frequency modulation device in the frequency modulation equipment network, the frequency modulation cost index and user satisfaction index of the frequency modulation device are weighted and summed, and the weighted sum is used as the frequency modulation potential of the frequency modulation device.

[0127] Understandable Figure 2 Each module / unit in the frequency modulation equipment cluster partitioning device 200 shown has the ability to implement Figure 1 The functions of each step in the frequency modulation equipment cluster partitioning method 100 shown are explained, and their corresponding technical effects are achieved. For the sake of brevity, they will not be elaborated here.

[0128] It should be understood that the various forms of processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this invention can be achieved, and this is not limited herein.

[0129] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for cluster division of frequency modulation devices, characterized in that, The method includes: The frequency of the power grid is detected to change within a preset time period. When the detected change exceeds a specified range, the frequency regulation participation of each frequency regulation node in the power grid within the preset time period is calculated. Based on the frequency modulation participation of the frequency modulation equipment, the frequency modulation equipment is grouped to obtain multiple frequency modulation equipment combinations; the response performance of the frequency modulation equipment in each of the multiple frequency modulation equipment combinations is calculated. Generate a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices; Based on the response performance of every two frequency modulation devices in the frequency modulation device network, calculate the response performance distance between every two frequency modulation devices; calculate the frequency modulation potential of the frequency modulation devices in the frequency modulation device network, and calculate the frequency modulation potential distance between every two frequency modulation devices based on the frequency modulation potential of every two frequency modulation devices in the frequency modulation device network. Based on the response performance distance between every two frequency modulation devices, the frequency modulation devices in the frequency modulation device network are clustered to obtain multiple candidate frequency modulation device clusters. Based on the frequency modulation potential distance between every two frequency modulation devices, the multiple candidate frequency modulation device clusters are clustered to obtain multiple optimal frequency modulation device clusters. The step of grouping the frequency modulation devices according to their frequency modulation participation to obtain multiple frequency modulation device combinations includes: The values ​​of the frequency modulation participation parameters of the frequency modulation equipment are analyzed; When the value of the frequency modulation participation quantity of the frequency modulation device is positive, the frequency modulation direction of the frequency modulation device is determined to be upward frequency modulation; When the value of the frequency modulation participation quantity of the frequency modulation device is negative, the frequency modulation direction of the frequency modulation device is determined to be downward frequency modulation; Frequency modulation equipment with an upward frequency modulation direction is classified as the first frequency modulation equipment group, and frequency modulation equipment with a downward frequency modulation direction is classified as the second frequency modulation equipment group; The calculation of the response performance of the frequency modulation devices in the combination of multiple frequency modulation devices includes: The response performance of the frequency modulation equipment in the first frequency modulation equipment assembly is calculated using the following formula: ； in, This indicates the responsiveness of frequency modulation device m in the first frequency modulation device assembly, also known as its upward responsiveness. This represents the power of the frequency modulation device m at the end of the preset time period, i.e., time t+a; This represents the average response time of flexible resources for the frequency modulation device m. This represents the maximum ramp rate of the frequency modulation device m; This represents the maximum net load power of the frequency modulation device m participating in frequency modulation at the end of the preset time period; This represents the net load power of the frequency modulation device m at the end of the preset time period; The response performance of the frequency modulation equipment in the second frequency modulation equipment assembly is calculated using the following formula: ； in, This indicates the responsiveness of frequency modulation device n in the second frequency modulation device assembly, also known as its downward responsiveness. This represents the power of the frequency modulation device n at the end of the preset time period, i.e., time t+a; This represents the average response time of the flexible resources of the frequency modulation device n; This represents the maximum downslope rate of the frequency modulation device n; This represents the minimum net load power of the frequency modulation device n at the end of the preset time period when it participates in frequency modulation. This represents the net load power of the frequency modulation device n at the end of the preset time period.

2. The method of claim 1, wherein, The calculation of the frequency regulation participation of each frequency regulation node in the power grid, including the frequency regulation equipment, within a preset time period includes: The difference is calculated by taking the net load power of the frequency modulation equipment at the end of the preset time period as the minuend and the net load power of the frequency modulation equipment at the beginning of the preset time period as the subtrahend, and the difference is used as the frequency modulation participation amount of the frequency modulation equipment within the preset time period.

3. The method of claim 1, wherein, The step of generating a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices includes: Remove frequency modulation devices with a response performance of 0 from multiple frequency modulation device combinations, and generate a frequency modulation device network based on the frequency modulation devices that were not removed from the multiple frequency modulation device combinations.

4. The method of claim 1, wherein, The calculation of the frequency modulation potential of the frequency modulation devices in the frequency modulation device network includes: Calculate the frequency modulation cost index and user satisfaction index of the frequency modulation equipment in the frequency modulation equipment network; For any frequency modulation device in the frequency modulation equipment network, the frequency modulation cost index and user satisfaction index of the frequency modulation device are weighted and summed, and the weighted summation result is taken as the frequency modulation potential of the frequency modulation device.

5. The method of claim 4, wherein, Calculating the frequency modulation cost index of the frequency modulation equipment in the frequency modulation equipment network includes: Calculate the frequency modulation cost of the frequency modulation equipment in the frequency modulation equipment network based on the frequency modulation participation of the frequency modulation equipment in the network. The frequency modulation cost of the frequency modulation equipment in the frequency modulation equipment network is standardized to obtain the frequency modulation cost index of the frequency modulation equipment in the frequency modulation equipment network.

6. The method of claim 4, wherein, Calculating the user satisfaction index of frequency modulation equipment in the frequency modulation equipment network includes: Based on the maximum and minimum frequency modulation participation of the frequency modulation devices in the frequency modulation device network, and the net load power of the frequency modulation devices at the start of a preset time period, the user satisfaction index of the frequency modulation devices in the frequency modulation device network is calculated.

7. A frequency modulation device cluster dividing apparatus characterized by comprising: The apparatus is used to perform the method according to any one of claims 1-6, comprising: The detection module is used to detect the changes in the power grid frequency within a preset time period. When the detected changes exceed a specified range, the module calculates the frequency regulation participation of each frequency regulation node in the power grid within the preset time period. The grouping module is used to group the frequency modulation devices according to their frequency modulation participation, resulting in multiple frequency modulation device combinations; and to calculate the response performance of the frequency modulation devices in each of the multiple frequency modulation device combinations. The generation module is used to generate a frequency modulation device network based on the frequency modulation devices in a combination of multiple frequency modulation devices; The calculation module is used to calculate the response performance distance between two frequency modulation devices based on the response performance of each pair of frequency modulation devices in the frequency modulation device network; calculate the frequency modulation potential of the frequency modulation devices in the frequency modulation device network; and calculate the frequency modulation potential distance between two frequency modulation devices based on the frequency modulation potential of each pair of frequency modulation devices in the frequency modulation device network. The clustering module is used to cluster the frequency modulation devices in the frequency modulation device network according to the response performance distance between every two frequency modulation devices to obtain multiple candidate frequency modulation device clusters, and to cluster the multiple candidate frequency modulation device clusters according to the frequency modulation potential distance between every two frequency modulation devices to obtain multiple optimal frequency modulation device clusters.

8. The FM device cluster division apparatus according to claim 7, wherein The calculation module is specifically used for: Calculate the frequency modulation cost index and user satisfaction index of the frequency modulation equipment in the frequency modulation equipment network; For any frequency modulation device in the frequency modulation equipment network, the frequency modulation cost index and user satisfaction index of the frequency modulation device are weighted and summed, and the weighted summation result is taken as the frequency modulation potential of the frequency modulation device.

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