Cluster division optimization method and device for frequency response of grid node resource

Abstract

The application provides a cluster division optimization method and device for frequency response of power grid node resources, and is applied to the technical field of power systems. The method comprises the following steps: if the fluctuation of the power grid frequency exceeds a preset range within a preset time period, calculating the regulation and control amount of each frequency regulation resource node in the power grid within the preset time period, determining the adjustment direction of the frequency regulation resource node according to the regulation and control amount of the frequency regulation resource node, dividing the frequency regulation resource node into different clusters according to the adjustment direction of the frequency regulation resource node, calculating the response capability index of the frequency regulation resource node in different clusters respectively, and dividing the frequency regulation resource nodes in the power grid according to the response capability index of the frequency regulation resource nodes in different clusters to obtain multiple optimal frequency regulation resource clusters. In this way, the frequency regulation resource clusters can be evenly divided, and the cluster division effect can be effectively improved.

Description

Technical Field

[0001] This invention relates to the field of power system technology, and in particular to a cluster partitioning optimization method and apparatus for frequency regulation response of power grid node resources. Background Technology

[0002] As the penetration rate of new energy sources and power electronic equipment gradually increases, the power grid type is gradually becoming a weak grid, and the inability to support dynamic frequency response is becoming increasingly apparent. Currently, there are many types of distributed frequency regulation resource nodes connected to the power grid, with different structures and characteristics, which is not conducive to effective management and control.

[0003] Traditional frequency modulation (FM) resource cluster partitioning is based on the type of FM resource nodes. Since there are many types of FM resource nodes, it is easy to cause uneven distribution of FM resource nodes, which is not conducive to FM resource nodes assisting in frequency modulation.

[0004] A patent publication, CN115360744A, relates to the cluster partitioning based on distributed photovoltaic power generation, but it does not consider the adjustment direction and response capability indicators of frequency regulation resource nodes, resulting in uneven actual cluster partitioning. Therefore, how to achieve uniform cluster partitioning of frequency regulation resources has become an urgent technical problem to be solved. Summary of the Invention

[0005] This invention provides a method and apparatus for optimizing the cluster partitioning of frequency regulation response of power grid node resources. In a first aspect, embodiments of this invention provide a method for optimizing the cluster partitioning of frequency regulation response of power grid node resources, the method comprising:

[0006] If the fluctuation of the power grid frequency exceeds the preset range within the preset time period, the regulation amount of each frequency regulation resource node in the power grid within the preset time period is calculated, and the regulation direction of the frequency regulation resource node is determined based on the regulation amount of the frequency regulation resource node.

[0007] Based on the adjustment direction of the frequency modulation resource nodes, the frequency modulation resource nodes are divided into different clusters;

[0008] The response capability index of frequency regulation resource nodes in different clusters is calculated separately. Based on the response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided to obtain multiple optimal frequency regulation resource clusters.

[0009] In some possible implementations of the first aspect, the calculation of the regulation amount of each frequency regulation resource node in the power grid within a preset time period includes:

[0010] The control amount of the frequency modulation resource node within the preset time period is obtained by subtracting the net load power of the frequency modulation resource node at the beginning of the preset time period from the net load power of the frequency modulation resource node at the end of the preset time period.

[0011] In some possible implementations of the first aspect, the adjustment direction of the frequency modulation resource node is determined based on the adjustment amount of the frequency modulation resource node, including:

[0012] If the value of the control amount of the frequency modulation resource node is positive, then the adjustment direction of the frequency modulation resource node is determined to be upward.

[0013] If the value of the control amount of the frequency modulation resource node is negative, then the adjustment direction of the frequency modulation resource node is determined to be downward.

[0014] In some possible implementations of the first aspect, the frequency modulation resource nodes are divided into different clusters according to the modulation direction of the frequency modulation resource nodes, including:

[0015] FM resource nodes with upward adjustment direction are divided into the first cluster, and FM resource nodes with downward adjustment direction are divided into the second cluster.

[0016] In some possible implementations of the first aspect, the response capability indicators of frequency-modulated resource nodes in different clusters are calculated separately, including:

[0017] Based on the first operating parameters of the frequency modulation resource nodes in the first cluster, the response capability of the frequency modulation resource nodes in the first cluster is calculated. The first operating parameters include: the power of the frequency modulation resource node that is adjusted upward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum ramp rate of the frequency modulation resource node, the maximum net load power of the frequency modulation resource node participating in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period.

[0018] Based on the second operating parameters of the frequency modulation resource nodes in the second cluster, the response capability of the frequency modulation resource nodes in the second cluster is calculated. The second operating parameters include: the power of the frequency modulation resource node that is adjusted downward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum downslope rate of the frequency modulation resource node, the minimum net load power of the frequency modulation resource node participating in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period.

[0019] Frequency modulation (FM) resource nodes with a response capability of 0 in the first cluster and the second cluster are removed. The response capabilities of the FM resource nodes in the first and second clusters after the removal of the FM resource nodes are normalized to obtain the response capability index of the FM resource nodes in the first and second clusters.

[0020] Among some possible implementations of the first aspect, the method also includes:

[0021] Calculate the regulation cost index of frequency modulation resource nodes in different clusters respectively;

[0022] Based on the response capability indicators of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided into multiple optimal frequency regulation resource clusters, including:

[0023] For any frequency modulation resource node in different clusters, the response capability index and control cost index of the frequency modulation resource node are weighted and summed to obtain the comprehensive response capability index of the frequency modulation resource node.

[0024] Based on the comprehensive response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided to obtain multiple optimal frequency regulation resource clusters.

[0025] Among the possible implementations of the first aspect, calculating the regulation cost index of frequency-modulated resource nodes in different clusters includes:

[0026] Calculate the control cost of frequency modulation resource nodes in different clusters based on the control amount of frequency modulation resource nodes in different clusters.

[0027] The control costs of frequency modulation resource nodes in different clusters are normalized to obtain control cost indicators for frequency modulation resource nodes in different clusters.

[0028] In some possible implementations of the first aspect, frequency regulation resource nodes in the power grid are divided according to the comprehensive response capability index of frequency regulation resource nodes in different clusters, resulting in multiple optimal frequency regulation resource clusters, including:

[0029] Generate a frequency modulation resource network, which includes frequency modulation resource nodes in different clusters;

[0030] Calculate the electrical distance between any two frequency modulation resource nodes based on the comprehensive response capability index of any two frequency modulation resource nodes in the frequency modulation resource network.

[0031] Based on the electrical distance between any two frequency modulation resource nodes, the frequency modulation resource nodes in the frequency modulation resource network are clustered to obtain multiple optimal frequency modulation resource clusters.

[0032] In a second aspect, embodiments of the present invention provide a cluster partitioning optimization device for frequency regulation response of power grid node resources, the device comprising:

[0033] The calculation module is used to calculate the regulation amount of each frequency regulation resource node in the power grid within the preset time period if the fluctuation of the power grid frequency exceeds the preset range within the preset time period, and determine the regulation direction of the frequency regulation resource node based on the regulation amount of the frequency regulation resource node.

[0034] The partitioning module is used to divide the frequency modulation resource nodes into different clusters according to the adjustment direction of the frequency modulation resource nodes;

[0035] The partitioning module is also used to calculate the response capability index of frequency regulation resource nodes in different clusters. Based on the response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are partitioned to obtain multiple optimal frequency regulation resource clusters.

[0036] In some possible implementations of the second aspect, the computation module is specifically used for:

[0037] Calculate the regulation cost index of frequency modulation resource nodes in different clusters respectively;

[0038] The module division is specifically used for:

[0039] For any frequency modulation resource node in different clusters, the response capability index and control cost index of the frequency modulation resource node are weighted and summed to obtain the comprehensive response capability index of the frequency modulation resource node.

[0040] Based on the comprehensive response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided to obtain multiple optimal frequency regulation resource clusters.

[0041] In embodiments of the present invention, frequency regulation resource nodes can be initially divided by adjusting the direction of the frequency regulation resource nodes. Then, the response capability index of the frequency regulation resource nodes in different clusters is calculated, and the frequency regulation resource nodes in the power grid are divided accordingly to obtain multiple optimal frequency regulation resource clusters. This makes the frequency regulation resource clusters evenly divided, thereby effectively improving the cluster division effect. While enhancing the utilization rate of distributed frequency regulation resource nodes, it is also beneficial to improve the overall coordinated control level between different frequency regulation resource clusters.

[0042] 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

[0043] 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:

[0044] Figure 1 The flowchart illustrates a cluster partitioning optimization method for frequency regulation response of power grid node resources provided by an embodiment of the present invention;

[0045] Figure 2The diagram shows a structural diagram of a cluster partitioning optimization device for frequency regulation response of power grid node resources provided by an embodiment of the present invention. Detailed Implementation

[0046] 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.

[0047] 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.

[0048] To address the problems in the background art, embodiments of the present invention provide a cluster partitioning optimization method and apparatus for frequency regulation response of power grid node resources. Specifically, if the fluctuation of the power grid frequency exceeds a preset range within a preset time period, the regulation amount of each frequency regulation resource node in the power grid within the preset time period is calculated. Based on the regulation amount of the frequency regulation resource nodes, the regulation direction of the frequency regulation resource nodes is determined. Based on the regulation direction of the frequency regulation resource nodes, the frequency regulation resource nodes are divided into different clusters. The response capability index of the frequency regulation resource nodes in different clusters is calculated respectively. Based on the response capability index of the frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are partitioned to obtain multiple optimal frequency regulation resource clusters.

[0049] This allows for a more even distribution of frequency modulation (FM) resource clusters, effectively improving the cluster partitioning effect. While enhancing the utilization rate of distributed FM resource nodes, it also helps to improve the overall collaborative control level between different FM resource clusters.

[0050] The following detailed description, with reference to the accompanying drawings, of the cluster partitioning optimization method and apparatus for frequency regulation response of power grid node resources provided by the embodiments of the present invention.

[0051] Figure 1 The flowchart illustrates a cluster partitioning optimization method for frequency regulation response of power grid node resources provided by an embodiment of the present invention, as shown below. Figure 1 As shown, the cluster partitioning optimization method 100 may include the following steps:

[0052] S110, if the fluctuation of the power grid frequency exceeds the preset range within the preset time period, calculate the regulation amount of each frequency regulation resource node in the power grid within the preset time period, and determine the regulation direction of the frequency regulation resource node based on the regulation amount of the frequency regulation resource node.

[0053] 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 grid frequency can be detected in real time. If the fluctuation of the grid frequency exceeds the preset range within a preset time period, the regulation amount of each frequency regulation resource node in the grid within the preset time period is calculated. Based on the regulation amount of the frequency regulation resource node, the regulation direction of the frequency regulation resource node is determined.

[0054] For example, assuming that the change in net load power of the frequency regulation resource node is negligible, if the fluctuation of the grid frequency is detected to exceed the preset range within a preset time period, the net load power of the frequency regulation resource node at the end of the preset time period can be subtracted from the net load power of the frequency regulation resource node at the beginning of the preset time period to quickly obtain the regulation amount of the frequency regulation resource node within the preset time period.

[0055] For example, the control amount of the frequency modulation resource node within a preset time period can be calculated according to formula (1). Formula (1) is shown below:

[0056] ΔP i (t)=P i (t+a)-P i (t) (1)

[0057] Wherein, ΔP i (t) represents the amount of regulation (i.e., flexible resource shortage) of frequency modulation resource node i within a preset time period a, P i (t+a) represents the net load power of frequency modulation resource node i at the end of the preset time period (time t+a), P i (t) represents the net load power of frequency modulation resource node i at the start of the preset time period (time t).

[0058] To ensure that the power grid frequency returns to its original level after being disturbed, in formula (1), when ΔP i When (t) is less than 0, meaning the net load power of frequency regulation resource node i decreases, it indicates that frequency regulation resource node i can adjust the grid frequency downwards; conversely, when ΔP i When (t) is greater than 0, meaning the net load power of frequency regulation resource node i increases, it indicates that frequency regulation resource node i can adjust the grid frequency upwards; when ΔP i If (t) equals 0, it indicates that the frequency modulation resource node i has no adjustment response capability. Therefore, ΔP can be... i The positive or negative sign represents the direction of adjustment of the frequency modulation resource node i, either upward or downward.

[0059] Specifically, if the value of the control amount of the frequency modulation resource node is positive, the adjustment direction of the frequency modulation resource node is determined to be upward; if the value of the control amount of the frequency modulation resource node is negative, the adjustment direction of the frequency modulation resource node is determined to be downward.

[0060] S120 divides the frequency modulation resource nodes into different clusters according to the adjustment direction of the frequency modulation resource nodes.

[0061] Referring to the example in S110, frequency modulation resource nodes with an upward adjustment direction can be divided into the first cluster, while frequency modulation resource nodes with a downward adjustment direction can be divided into the second cluster, thereby quickly achieving the initial division of frequency modulation resource nodes.

[0062] S130: Calculate the response capability index of frequency regulation resource nodes in different clusters respectively. Based on the response capability index of frequency regulation resource nodes in different clusters, divide the frequency regulation resource nodes in the power grid to obtain multiple optimal frequency regulation resource clusters.

[0063] Referring to the examples in S110 and S120, the response capability of the frequency modulation resource nodes in the first cluster can be calculated based on the first operating parameters of the frequency modulation resource nodes in the first cluster. The first operating parameters include: the power that the frequency modulation resource node adjusts upward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum ramp rate of the frequency modulation resource node, the maximum net load power of the frequency modulation resource node participating in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period.

[0064] Based on the second operating parameters of the frequency modulation resource nodes in the second cluster, the response capability of the frequency modulation resource nodes in the second cluster is calculated. The second operating parameters include: the power that the frequency modulation resource node controls downward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum downslope rate of the frequency modulation resource node, the minimum net load power that the frequency modulation resource node participates in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period.

[0065] Frequency modulation (FM) resource nodes with a response capability of 0 in the first cluster and the second cluster are removed. The response capabilities of the FM resource nodes in the first and second clusters after the removal of the FM resource nodes are normalized to obtain the response capability index of the FM resource nodes in the first and second clusters.

[0066] For example, considering the resource response time and the short-term adjustable capacity of the resources, the response capability of the frequency-modulated resource nodes in the first cluster can be calculated according to formula (2), and the response capability of the frequency-modulated resource nodes in the second cluster can be calculated according to formula (3). Formulas (2) and (3) are shown below:

[0067]

[0068]

[0069] in, This represents the response capability (upward response capability) of frequency modulation resource node i in the first cluster; This represents the power (instantaneous upward adjustment power) that frequency-modulated resource node i adjusts upward at the end of the preset time period (time t+a); t r,i This represents the average response time of the flexible resources of frequency-modulated resource node i. P represents the maximum ramp rate of frequency modulation resource node i. maxg,i (t+a) represents the maximum net load power of frequency modulation resource node i participating in regulation at the end of the preset time period; P g,i (t+a) represents the net load power of frequency modulation resource node i at the end of the preset time period (time t+a).

[0070] This indicates the response capability (downward response capability) of frequency modulation resource node k in the second cluster; This represents the power that frequency modulation resource node k adjusts downwards at the end of the preset time period (time t+a) (the magnitude of the power adjusted upwards instantaneously); t r,k This represents the average response time of the flexible resources at frequency-modulated resource node k. P represents the maximum downslope rate of frequency modulation resource node k; ming,k (t+a) represents the minimum net load power of frequency regulation resource node k participating in regulation at the end of the preset time period; P g,k (t+a) represents the net load power of frequency modulation resource node k at the end of the preset time period (time t+a).

[0071] The frequency modulation resource nodes with a response capability of 0 in the first and second clusters are transferred to the third cluster. The response capabilities of the frequency modulation resource nodes in the current first and second clusters are then normalized according to formula (4) to obtain the response capability indices of the frequency modulation resource nodes in the first and second clusters. Formula (4) is shown below:

[0072]

[0073] in, The larger the value, the more resources that the frequency-modulated resource node i in the first cluster can adjust in a short period of time. This represents the maximum upward response capability of all frequency-modulated resource nodes in the first cluster at time t; This represents the minimum upward response capability of all frequency-modulated resource nodes in the first cluster at time t;

[0074] This represents the response capability index (downward response capability index at time t) of frequency modulation resource node k in the second cluster. This represents the maximum downward response capability of all frequency-modulated resource nodes in the second cluster at time t; This represents the minimum downward response capability of all frequency-modulated resource nodes in the second cluster at time t.

[0075] In this way, the response capability indicators of the frequency modulation resource nodes in the first cluster and the second cluster can be calculated accurately and quickly based on the first operating parameters of the frequency modulation resource nodes in the first cluster and the second operating parameters of the frequency modulation resource nodes in the second cluster.

[0076] For example, a frequency modulation resource network can be generated, wherein the frequency modulation resource network includes frequency modulation resource nodes in different clusters.

[0077] Calculate the electrical distance between any two frequency modulation resource nodes based on their response capability indicators in the frequency modulation resource network.

[0078] Based on the electrical distance between any two frequency modulation resource nodes, the frequency modulation resource nodes in the frequency modulation resource network are clustered to obtain multiple optimal frequency modulation resource clusters.

[0079] In addition, the regulation cost index of frequency modulation resource nodes in different clusters can be calculated separately.

[0080] Specifically, the control cost of frequency modulation resource nodes in different clusters can be calculated based on the control amount of frequency modulation resource nodes in different clusters. The control cost of frequency modulation resource nodes in different clusters can be normalized to quickly obtain the control cost index of frequency modulation resource nodes in different clusters.

[0081] For example, the regulation cost of frequency-modulated resource nodes in different clusters can be calculated according to formula (5). Formula (5) is shown below:

[0082] c j (|ΔP j (t)|)=b 1,j .|ΔP j (t)| 2 +b2,j .|ΔP j (t)|+b 3,j (5)

[0083] Among them, c j (|ΔP j (t)|) represents the control cost of a frequency-modulated resource node j in the cluster; ΔP j (t) represents the control amount of frequency modulation resource node j; b 1,j b 2,j and b 3,j This represents the control cost coefficient of frequency modulation resource node j, which can be obtained by fitting the historical operating data of frequency modulation resource node j.

[0084] The control cost of frequency modulation resource nodes in different clusters can be normalized according to formula (6) to obtain the control cost index of frequency modulation resource nodes in different clusters. Formula (6) is shown below:

[0085]

[0086] Among them, C j (|ΔP j (t)|) represents the control cost index of a frequency-modulated resource node j in the cluster; max c j (|ΔP j (t)|) represents the maximum value of the control cost of all frequency modulation resource nodes in the cluster to which frequency modulation resource node j belongs; min c j (|ΔP j (t)|) represents the minimum control cost of all frequency-modulated resource nodes in the cluster to which frequency-modulated resource node j belongs.

[0087] For any frequency modulation resource node in different clusters, the response capability index and control cost index of the frequency modulation resource node are weighted and summed to obtain the comprehensive response capability index of the frequency modulation resource node.

[0088] For example, the comprehensive response capability index of the frequency modulation resource node can be obtained by weighted summing of the response capability index and the regulation cost index according to formula (7). Formula (7) is shown below:

[0089] λ R,j (t)=λ 1,j r e,j (t)+λ 2,j C j (|Δp j (t)|) (7)

[0090] Where, λ R,j(t) represents the overall response capability index of a frequency modulation resource node j in the cluster; r e,j (t) represents the response capability index of frequency modulation resource node j; C j (|ΔP j (t)|) represents the regulation cost index of frequency modulation resource node j; λ 1,j and λ 2,j These represent the weights of the response capability index and the regulation cost index of frequency modulation resource node j, respectively.

[0091] Based on the comprehensive response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided into multiple optimal frequency regulation resource clusters. This can enhance the utilization rate of distributed frequency regulation resource nodes while reducing frequency regulation costs.

[0092] Specifically, a frequency modulation resource network can be generated, which includes frequency modulation resource nodes in different clusters.

[0093] Calculate the electrical distance (proximity) between any two frequency modulation resource nodes in the frequency modulation resource network based on the comprehensive response capability index of any two frequency modulation resource nodes.

[0094] For example, the electrical distance between any two frequency modulation resource nodes can be calculated using formula (8). Formula (8) is shown below:

[0095]

[0096] Among them, a ij a ji λ represents the electrical distance between frequency modulation resource node i and frequency modulation resource node j in the frequency modulation resource network; R,i λ represents the comprehensive response capability index of frequency modulation resource node i. R,j This represents the comprehensive response capability index of frequency modulation resource node j.

[0097] Based on the electrical distance between any two frequency modulation (FM) resource nodes, the FM resource nodes in the FM resource network are clustered to quickly obtain multiple optimal FM resource clusters. The clustering algorithm can be a community detection algorithm, as detailed below:

[0098] 1. Treat each FM resource node in the FM resource network as a community, and calculate the initial modularity of the FM resource network.

[0099] 2. Arbitrarily select community i and community j from the FM resource network to combine them into a new community, and solve again for the modularity Q of the merged FM resource network. mod .

[0100] 3. Calculate the modularity increment when community i is combined with other communities respectively. If maxΔQ mod If the value is greater than 0, then community i 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.

[0101] 4. Repeat steps 2-3 until a club is formed.

[0102] 5. Q mod The communities corresponding to the maximum value are considered as the optimal frequency tuning resource clusters.

[0103] As an example, the formula for calculating the modularity of a frequency modulation resource network can be as follows:

[0104]

[0105] Among them, Q mod A represents the modularity of the frequency modulation resource network Q; a,ij a represents the weight between frequency modulation resource node i and frequency modulation resource node j in the frequency modulation resource network Q; ij m represents the electrical distance between frequency modulation resource node i and frequency modulation resource node j in the frequency modulation resource network Q; a m represents the sum of the weights of the frequency modulation resource nodes in the frequency modulation resource network Q. a =0.5×∑ i,j A a,ij ;s a,i s represents the sum of the weights of nodes that are grouped together with frequency-modulated resource node i. a,i =∑ j A a,ij s a,j s represents the sum of the weights of nodes that are grouped together with frequency-modulated resource node j. a,j =∑ i A a,ij c a,i and c a,j This represents the community number where frequency modulation resource node i and frequency modulation resource node j belong, when c a,i =c a,j At that time, δ(c) a,i ,c a,j ) = 1, otherwise δ(c) a,i ,c a,j ) = 0.

[0106] In embodiments of the present invention, frequency regulation resource nodes can be initially divided by adjusting the direction of the frequency regulation resource nodes. Then, the response capability index of the frequency regulation resource nodes in different clusters is calculated, and the frequency regulation resource nodes in the power grid are divided accordingly to obtain multiple optimal frequency regulation resource clusters. This makes the frequency regulation resource clusters evenly divided, thereby effectively improving the cluster division effect. While enhancing the utilization rate of distributed frequency regulation resource nodes, it is also beneficial to improve the overall coordinated control level between different frequency regulation resource clusters.

[0107] 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.

[0108] The above is an introduction to the method embodiments. The following describes the solution of the present invention further through device embodiments.

[0109] Figure 2 The diagram illustrates a structural diagram of a cluster partitioning optimization device for frequency regulation response of power grid node resources according to an embodiment of the present invention, as shown below. Figure 2 As shown, the cluster partitioning optimization device 200 may include:

[0110] The calculation module 210 is used to calculate the regulation amount of each frequency regulation resource node in the power grid within the preset time period if the fluctuation of the power grid frequency exceeds the preset range within the preset time period, and determine the regulation direction of the frequency regulation resource node based on the regulation amount of the frequency regulation resource node.

[0111] The partitioning module 220 is used to divide the frequency modulation resource nodes into different clusters according to the adjustment direction of the frequency modulation resource nodes.

[0112] The partitioning module 220 is also used to calculate the response capability index of frequency regulation resource nodes in different clusters respectively. Based on the response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are partitioned to obtain multiple optimal frequency regulation resource clusters.

[0113] In some embodiments, the calculation module 210 is specifically used for:

[0114] The control amount of the frequency modulation resource node within the preset time period is obtained by subtracting the net load power of the frequency modulation resource node at the beginning of the preset time period from the net load power of the frequency modulation resource node at the end of the preset time period.

[0115] In some embodiments, the calculation module 210 is specifically used for:

[0116] If the value of the control amount of the frequency modulation resource node is positive, then the adjustment direction of the frequency modulation resource node is determined to be upward.

[0117] If the value of the control amount of the frequency modulation resource node is negative, then the adjustment direction of the frequency modulation resource node is determined to be downward.

[0118] In some embodiments, the partitioning module 220 is specifically used for:

[0119] FM resource nodes with upward adjustment direction are divided into the first cluster, and FM resource nodes with downward adjustment direction are divided into the second cluster.

[0120] In some embodiments, the partitioning module 220 is specifically used for:

[0121] Based on the first operating parameters of the frequency modulation resource nodes in the first cluster, the response capability of the frequency modulation resource nodes in the first cluster is calculated. The first operating parameters include: the power of the frequency modulation resource node that is adjusted upward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum ramp rate of the frequency modulation resource node, the maximum net load power of the frequency modulation resource node participating in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period.

[0122] Based on the second operating parameters of the frequency modulation resource nodes in the second cluster, the response capability of the frequency modulation resource nodes in the second cluster is calculated. The second operating parameters include: the power of the frequency modulation resource node that is adjusted downward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum downslope rate of the frequency modulation resource node, the minimum net load power of the frequency modulation resource node participating in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period.

[0123] Frequency modulation (FM) resource nodes with a response capability of 0 in the first cluster and the second cluster are removed. The response capabilities of the FM resource nodes in the first and second clusters after the removal of the FM resource nodes are normalized to obtain the response capability index of the FM resource nodes in the first and second clusters.

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

[0125] Calculate the regulation cost index of frequency modulation resource nodes in different clusters.

[0126] The partitioning module 220 is specifically used for: for any frequency regulation resource node in different clusters, to perform a weighted summation of the response capability index and regulation cost index of the frequency regulation resource node to obtain the comprehensive response capability index of the frequency regulation resource node; and to partition the frequency regulation resource nodes in the power grid according to the comprehensive response capability index of the frequency regulation resource nodes in different clusters to obtain multiple optimal frequency regulation resource clusters.

[0127] In some embodiments, the calculation module 210 is specifically used for:

[0128] Calculate the control cost of frequency modulation resource nodes in different clusters based on the control amount of frequency modulation resource nodes in different clusters.

[0129] The control costs of frequency modulation resource nodes in different clusters are normalized to obtain control cost indicators for frequency modulation resource nodes in different clusters.

[0130] In some embodiments, the partitioning module 220 is specifically used for:

[0131] Generate a frequency modulation resource network, which includes frequency modulation resource nodes in different clusters;

[0132] Calculate the electrical distance between any two frequency modulation resource nodes based on the comprehensive response capability index of any two frequency modulation resource nodes in the frequency modulation resource network.

[0133] Based on the electrical distance between any two frequency modulation resource nodes, the frequency modulation resource nodes in the frequency modulation resource network are clustered to obtain multiple optimal frequency modulation resource clusters.

[0134] Understandable Figure 2 Each module / unit in the cluster partitioning optimization device 200 shown has the ability to implement Figure 1 The functions of each step in the cluster partitioning optimization method 100 shown are explained, and their corresponding technical effects are achieved. For the sake of brevity, these will not be elaborated here.

[0135] 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.

[0136] 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 cluster partitioning optimization method for frequency regulation response of power grid node resources, characterized in that, The method includes: If the fluctuation of the power grid frequency exceeds the preset range within a preset time period, the regulation amount of each frequency regulation resource node in the power grid within the preset time period is calculated, and the regulation direction of the frequency regulation resource node is determined based on the regulation amount of the frequency regulation resource node. Based on the adjustment direction of the frequency modulation resource nodes, the frequency modulation resource nodes are divided into different clusters; The response capability index of frequency regulation resource nodes in different clusters is calculated respectively. Based on the response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided to obtain multiple optimal frequency regulation resource clusters. The method further includes: Calculate the regulation cost index of frequency modulation resource nodes in different clusters respectively; The frequency regulation resource nodes in the power grid are divided according to the response capability indicators of the frequency regulation resource nodes in different clusters to obtain multiple optimal frequency regulation resource clusters, including: For any frequency modulation resource node in different clusters, the response capability index and control cost index of the frequency modulation resource node are weighted and summed to obtain the comprehensive response capability index of the frequency modulation resource node. Based on the comprehensive response capability index of frequency regulation resource nodes in different clusters, the frequency regulation resource nodes in the power grid are divided to obtain multiple optimal frequency regulation resource clusters. The frequency regulation resource nodes in the power grid are divided according to the comprehensive response capability index of the frequency regulation resource nodes in different clusters to obtain multiple optimal frequency regulation resource clusters, including: Generate a frequency modulation resource network, wherein the frequency modulation resource network includes frequency modulation resource nodes in different clusters; Calculate the electrical distance between any two frequency modulation resource nodes based on the comprehensive response capability index of any two frequency modulation resource nodes in the frequency modulation resource network. Based on the electrical distance between any two frequency modulation resource nodes, the frequency modulation resource nodes in the frequency modulation resource network are clustered to obtain multiple optimal frequency modulation resource clusters.

2. The cluster partitioning optimization method according to claim 1, characterized in that, The calculation of the regulation amount of each frequency regulation resource node in the power grid within the preset time period includes: The control amount of the frequency modulation resource node during the preset time period is obtained by subtracting the net load power of the frequency modulation resource node at the end of the preset time period from the net load power of the frequency modulation resource node at the beginning of the preset time period.

3. The cluster partitioning optimization method according to claim 2, characterized in that, Determining the adjustment direction of the frequency modulation resource node based on the adjustment amount of the frequency modulation resource node includes: If the value of the adjustment amount of the frequency modulation resource node is positive, then the adjustment direction of the frequency modulation resource node is determined to be upward adjustment; If the value of the control amount of the frequency modulation resource node is negative, then the adjustment direction of the frequency modulation resource node is determined to be downward adjustment.

4. The cluster partitioning optimization method according to claim 3, characterized in that, The step of dividing the frequency modulation resource nodes into different clusters according to the adjustment direction of the frequency modulation resource nodes includes: FM resource nodes with upward adjustment direction are divided into the first cluster, and FM resource nodes with downward adjustment direction are divided into the second cluster.

5. The cluster partitioning optimization method according to claim 4, characterized in that, The calculation of the response capability indicators of frequency modulation resource nodes in different clusters includes: Based on the first operating parameters of the frequency modulation resource nodes in the first cluster, the response capability of the frequency modulation resource nodes in the first cluster is calculated. The first operating parameters include: the power of the frequency modulation resource node that is adjusted upward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum ramp rate of the frequency modulation resource node, the maximum net load power of the frequency modulation resource node participating in regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period. Based on the second operating parameters of the frequency modulation resource nodes in the second cluster, the response capability of the frequency modulation resource nodes in the second cluster is calculated. The second operating parameters include: the power of the frequency modulation resource node that is adjusted downward at the end of the preset time period, the average response time of the flexible resources of the frequency modulation resource node, the maximum downslope rate of the frequency modulation resource node, the minimum net load power of the frequency modulation resource node participating in the regulation at the end of the preset time period, and the net load power of the frequency modulation resource node at the end of the preset time period. Frequency modulation (FM) resource nodes with a response capability of 0 in the first cluster and the second cluster are removed. The response capabilities of the FM resource nodes in the first and second clusters after the removal of the FM resource nodes are normalized to obtain the response capability indicators of the FM resource nodes in the first and second clusters.

6. The cluster partitioning optimization method according to claim 1, characterized in that, The calculation of the regulation cost indicators for frequency modulation resource nodes in different clusters includes: Calculate the control cost of frequency modulation resource nodes in different clusters based on the control amount of frequency modulation resource nodes in different clusters. The control costs of frequency modulation resource nodes in different clusters are normalized to obtain control cost indicators for frequency modulation resource nodes in different clusters.

7. A cluster partitioning optimization device for frequency regulation response of power grid node resources, characterized in that, The apparatus is used to perform the method according to any one of claims 1-6, comprising: The calculation module is used to calculate the regulation amount of each frequency regulation resource node in the power grid within the preset time period if the fluctuation of the power grid frequency exceeds the preset range within the preset time period, and determine the regulation direction of the frequency regulation resource node based on the regulation amount of the frequency regulation resource node. The partitioning module is used to partition the frequency modulation resource nodes into different clusters according to the adjustment direction of the frequency modulation resource nodes; The partitioning module is also used to calculate the response capability index of frequency regulation resource nodes in different clusters, and to partition the frequency regulation resource nodes in the power grid according to the response capability index of frequency regulation resource nodes in different clusters, thereby obtaining multiple optimal frequency regulation resource clusters.

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