Power distribution network cluster control method, device and system for flexible power distribution equipment

Abstract

The application discloses a power distribution network cluster control method, device and system for flexible power distribution equipment, and belongs to the technical field of power distribution network power supply. The power distribution network cluster control method comprises the following steps: all load nodes are distributed to clusters corresponding to a plurality of leading nodes respectively, so that the dispersed flexible power distribution equipment clusters are integrated into a whole for cooperative response. Then, an equivalent model of a cluster power distribution network corresponding to each cluster is established, the voltage deviation of all equivalent models of the cluster power distribution networks from a rated value is superposed, and the voltage deviation is taken as a target control function of the power distribution network cluster. The power distribution network cluster is controlled with minimization of the target control function as an optimization target. In this way, the application can improve the new energy consumption level and guarantee the safe and efficient operation of the power grid.

Description

Technical Field

[0001] This invention belongs to the field of power distribution network technology, and more specifically, relates to a power distribution network cluster control method, device and system for flexible power distribution equipment. Background Technology

[0002] With the rapid construction of new power systems, problems such as low inertia, low damping, and weak voltage support are becoming increasingly apparent, posing an urgent need for distribution networks to improve their capacity to absorb distributed power sources and support new loads. With the application of numerous source-grid-load-line distribution devices with flexible regulation capabilities (such as distributed photovoltaic systems, new flexible distribution transformers, new distributed power flow controllers, and four-quadrant impedance regulation devices), leveraging clustered virtual synchronous source-grid collaborative control technology to utilize the flexible regulation capabilities of these devices, enhance the distribution network's regulation capacity, improve the voltage and frequency stability of traditional distribution networks, and achieve flexible and adjustable power supply and impedance characteristics in the source-grid coordinated area, has become an important means for the high-quality development of flexible distribution networks.

[0003] However, how to cluster and coordinate these dispersed flexible distribution network devices to achieve the leap from "single-machine operation" to "cluster collaborative optimization" is a major problem that needs to be solved. Summary of the Invention

[0004] In view of the above-mentioned defects or improvement needs of the existing technology, the present invention provides a distribution network cluster control method, device and system for flexible power distribution equipment, the purpose of which is to solve the technical problem of how to cluster control and coordinate the decentralized flexible regulation distribution network equipment.

[0005] To achieve the above objectives, according to one aspect of the present invention, a distribution network cluster control method for flexible power distribution equipment is provided, comprising: S1: Obtain the voltage deviation of each load node in the power distribution network that includes flexible power distribution equipment; S2: Select multiple load nodes whose voltage deviation and stability metric values ​​meet the set conditions from all the load nodes as dominant nodes; assign all the load nodes to the clusters corresponding to the multiple dominant nodes, and there are no duplicate load nodes in any cluster; S3: Establish an equivalent model of the cluster distribution network for each cluster. In the equivalent model of the cluster distribution network: the distributed power flow controller is equivalent to the line impedance, the flexible distribution transformer is equivalent to the voltage source connected in series in the line, and the four-quadrant impedance regulator adopts current / voltage controlled flux-compensated adjustable impedance. S4: Superimpose the voltage deviations of the equivalent models of all distribution networks into their respective rated values ​​and use this as the target control function of the distribution network cluster; use the minimization of the target control function as the optimization objective to control the distribution network cluster.

[0006] Furthermore, in the equivalent model of the clustered distribution network: the distributed power flow controller is equivalent to a line impedance, and the line impedance X of the distributed power flow controller is... ref Adjust within the first adjustment range.

[0007] Furthermore, in the equivalent model of the clustered distribution network: the flexible distribution transformer is equivalent to a voltage source connected in series in the line, and the phase angle of the series voltage is in the same direction as the phase of the secondary voltage; the voltage source voltage U corresponding to the flexible distribution transformer ref Adjustments are made within the second adjustment range.

[0008] Furthermore, in the equivalent model of the cluster distribution network: the four-quadrant impedance regulator adopts current / voltage control type flux-compensated adjustable impedance, detects the primary winding current of the transformer, and generates two mutually orthogonal signals through proportional control and 90° phase shift control respectively. The two signals are superimposed as a reference signal, and the inverter is controlled to follow the reference signal to generate a controllable voltage signal applied to both ends of the secondary winding of the transformer.

[0009] Furthermore, in the equivalent model of the clustered distribution network: the amplification factor K of the four-quadrant impedance regulator ref Adjustments are made within the third adjustment range.

[0010] Furthermore, the target control function of the power distribution network cluster is expressed as: ; Among them, U n This is the rated phase voltage; U i k represents the effective value of the load phase voltage corresponding to the i-th cluster; i is the weighting coefficient corresponding to the i-th cluster, and its size is the ratio of the corresponding load power to the total load power.

[0011] Furthermore, S2 includes: selecting P nodes from the N load nodes of the distribution network as dominant nodes, so that the dominant node selection matrix is ​​of order P×N. Corresponding objective function When the matrix reaches its minimum, it is at this point... middle If the value is 1, then node j is the i-th dominant node; It is a quadratic scalar value representing the weighted voltage deviation; for the dominant node i, calculate its performance similarity with other load nodes j. If the performance similarity r(i,j) is greater than the threshold, it is placed into the cluster corresponding to the dominant node i. ; in, It is an N×N symmetric matrix, where its diagonal elements represent the importance weights of voltage deviations at each node, and its off-diagonal elements represent the importance of voltage deviation coupling between nodes; C is a 0-1 matrix, with one and only one 1 in each column; when node j is the i-th dominant node... The value is 1 if it is not 0 otherwise; intermediate parameter , The weight of the k-th indicator. The kth index value of the dominant node i The normalized value, The k-th index value of load node j The normalized value, where m is the total number of indicators; A and B represent the control method and communication method, respectively. It is a 0-1 function. If the dominant node i is in the same way as other load nodes j, the value is 1; otherwise, it is 0.

[0012] According to another aspect of the present invention, a power distribution network cluster control device for flexible power distribution equipment is provided, comprising: The acquisition module is used to acquire the voltage deviation of each load node in a power distribution network that includes flexible power distribution equipment; The allocation module is used to select multiple load nodes whose voltage deviation and stability measurement values ​​meet the set conditions from all the load nodes as dominant nodes; and to allocate all the load nodes to the clusters corresponding to the multiple dominant nodes, with no duplicate load nodes in any cluster; A module is established to build an equivalent model of the cluster distribution network corresponding to each cluster. In the equivalent model of the cluster distribution network, the distributed power flow controller is equivalent to the line impedance, the flexible distribution transformer is equivalent to the voltage source connected in series in the line, and the four-quadrant impedance regulator adopts the current / voltage control type flux-compensated adjustable impedance. The control module is used to superimpose the voltage deviations of the equivalent models of all distribution networks into the target control function of the distribution network cluster; and to control the distribution network cluster by minimizing the target control function.

[0013] According to another aspect of the present invention, a power distribution network cluster control system for flexible power distribution equipment is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the power distribution network cluster control method for flexible power distribution equipment.

[0014] According to another aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of the power distribution network cluster control method for flexible power distribution equipment.

[0015] In summary, compared with the prior art, the above-described technical solutions conceived by this invention can achieve the following beneficial effects: (1) This invention provides a distribution network cluster control method for flexible power distribution equipment. First, all load nodes are assigned to clusters corresponding to multiple dominant nodes, thereby realizing the transformation of the dispersed flexible power distribution equipment clusters into a coordinated whole. Then, an equivalent model of the distribution network corresponding to each cluster is established, and the voltage deviations of the equivalent models of all clusters are superimposed and used as the target control function of the distribution network cluster. The distribution network cluster is controlled by minimizing the target control function as the optimization objective. In this way, this application can improve the level of new energy consumption and ensure the safe and efficient operation of the power grid.

[0016] (2) In this scheme, the distributed power flow controller is equivalent to a line impedance, and the line impedance X of the distributed power flow controller is... ref The adjustment is performed within the first adjustment range; with this design, the impedance regulation capability of the distributed power flow controller directly affects the reactive power distribution and voltage level of the system. This constraint ensures that the operation of the distributed power flow controller is within a controllable range.

[0017] (3) In this scheme, the flexible distribution transformer is equivalent to a voltage source connected in series in the line, and the voltage source voltage U corresponding to the flexible distribution transformer is... ref The adjustment is performed within the second adjustment range; in this design, the flexible distribution transformer acts as a series voltage source, compensating for the voltage deviation of the system by adjusting its output voltage, and this range ensures the effectiveness of the compensation.

[0018] (4) In this scheme, the four-quadrant impedance regulator adopts a current / voltage controlled flux-compensated adjustable impedance, and the amplification factor K of the four-quadrant impedance regulator is... ref Adjustment is performed within the third adjustment range. With this design, the four-quadrant impedance adjustment device acts as a parallel voltage source, generating a voltage signal by adjusting the amplification factor to control harmonics in the system. This range ensures the effectiveness of harmonic control.

[0019] (5) The control function in this scheme is: This design takes into account the limited measurement and control equipment in actual power distribution systems, the spatial coupling of node voltage fluctuations, and the uncertainties brought about by distributed power source access. Its advantages are that it can achieve the reference stability of cluster voltage with the fewest measurement points, reduce the frequency of controller operation and coordination complexity, improve the system's robustness to disturbances and DG fluctuations, and at the same time keep the optimization problem as a convex quadratic form, which is convenient for efficient solution and engineering deployment.

[0020] (6) In this scheme, for the dominant node i, its performance similarity with other load nodes j is calculated. If the performance similarity r(i,j) is greater than the threshold, the similarity is calculated. This design takes into account the differences in electrical characteristics, regulation capabilities, control methods and communication methods of different nodes, and the need for the cluster to have as consistent response characteristics as possible to reduce control complexity. The advantage is that it can form a cluster with similar internal electrical characteristics, unified control mode and communication reachability, thereby reducing reactive power exchange across clusters, improving the autonomous capability of zone control, and ensuring that the dominant node has real representativeness and measurability for other nodes in the cluster. Attached Figure Description

[0021] Figure 1 This is a flowchart of a power distribution network cluster control method for flexible power distribution equipment provided in Embodiment 1 of the present invention.

[0022] Figure 2 This is a power distribution network cluster partitioning diagram for flexible power distribution equipment provided in Embodiment 1 of the present invention.

[0023] Figure 3 This is a simulation diagram of a power distribution network cluster control method for flexible power distribution equipment provided in Embodiment 1 of the present invention.

[0024] Figure 4 This is a schematic diagram of the equivalent model control strategy of the novel distributed power flow controller provided in Embodiment 1 of the present invention.

[0025] Figure 5 This is a schematic diagram of the equivalent model control strategy of the novel flexible distribution transformer provided in Embodiment 1 of the present invention.

[0026] Figure 6 This is a schematic diagram of the equivalent model control strategy of the four-quadrant impedance adjustment device provided in Embodiment 1 of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0028] Example 1 This embodiment provides a distribution network cluster control method for flexible power distribution equipment, such as... Figure 1 As shown, it includes: S1-S4.

[0029] S1: Obtain the voltage deviation of each load node in the power distribution network that includes flexible power distribution equipment.

[0030] Specifically, based on the line selection and length between each node in the distribution network, the line impedance between each node is calculated, the node admittance matrix is ​​established, and the power flow equation is solved using the Newton-Raphson algorithm, satisfying: ; ; in G ij and B ij These are nodes i and j The conductance and susceptance of the lines between them. θ ij It is the voltage phase difference between the two nodes. Assume the network has... N Let n = nodes N -1, with the balancing node as the reference node, 2 n The Newton-based power flow correction equation is as follows: ; in, For Jacobian matrices, and This represents the phase angle and amplitude correction of the node voltage.

[0031] ; in, It is an n-dimensional diagonal matrix of nodal voltage magnitudes. and These are the real and imaginary parts of the nodal admittance matrix, respectively. The elements are Corresponding element With The product, and other terms are similar. Additionally, the above... and All n These are diagonal matrices of order 1, representing the active power matrix and the reactive power matrix, respectively. Under normal circumstances... Very small, therefore can be made , Then the above formula can be simplified to: .

[0032] Gaussian elimination of the above equation yields a linear relationship between the dominant node voltage change and the node injected power, satisfying: ; Active voltage sensitivity, satisfying: ; Reactive voltage sensitivity, satisfying: .

[0033] Based on the final result of the iterative solution of the power flow equations, a linear system model based on the sensitivity matrix is ​​used to linearize the power distribution network system containing flexible distribution equipment, resulting in the following equations: ; in , , , These are all sensitivity matrices, whose elements are the active voltage sensitivity and reactive voltage sensitivity, and the elements are... , represents the change in voltage magnitude at node i when the reactive power injection at node j changes by one unit. This represents the change in reactive power at node j. The sensitivity matrix reflects the sensitivity of the node voltage in the system to reactive power injection. and These represent the voltage amplitude and reactive power change at the load node, respectively. and These represent the voltage amplitude and reactive power change of the controllable reactive power source node, respectively. This represents the amount of disturbance. This represents the control variable. Therefore, we can conclude that: = .

[0034] S2: Select multiple load nodes whose voltage deviation and stability metrics meet the set conditions from all the load nodes as dominant nodes; assign all the load nodes to the clusters corresponding to the multiple dominant nodes, and there are no duplicate load nodes in any cluster.

[0035] As an optional implementation, S2 includes: selecting P nodes as dominant nodes from N load nodes in the distribution network, so that a P×N dominant node selection matrix is ​​formed. Corresponding objective function When the matrix reaches its minimum, it is at this point... middle If the value is 1, then node j is the i-th dominant node; It is a quadratic scalar value representing the weighted voltage deviation. I(C) represents the value calculated for different dominant node selection matrices C during a certain optimization or selection process. Then take the minimum value among these values. Let be a column vector matrix representing the voltage deviations of all load nodes. Assume N = 3, P = 2, and select nodes 1 and 3 as the dominant nodes: , , .

[0036] For the dominant node i, calculate its performance similarity with other load nodes j. If the performance similarity r(i,j) is greater than the threshold, then place it into the cluster corresponding to the dominant node i. ; in, It is a symmetric weight matrix; the larger the value, the more important it is to maintain the stability of the voltage deviation at that node. C is a 0-1 matrix; when node j is the i-th dominant node, ... The value is 1 if it is 1, otherwise it is 0.

[0037] It should be noted that each load node (including the dominant node itself) is a dominant node, but not every node is a dominant node. Let C... 12 and C 13 All values ​​are 1: Node 1 is the dominant node, and nodes 2 and 3 are the ordinary nodes it governs. Each column contains exactly one 1. Because each load node can only belong to one cluster, it can only correspond to one dominant node. A row can have multiple 1s, indicating that the dominant node governs multiple nodes, i.e., one cluster. Intermediate parameters , The weight of the k-th indicator. The kth index value of the dominant node i The normalized value, The k-th index value of load node j The normalized value, where m is the total number of indicators; A and B represent the control method and communication method, respectively. It is a 0-1 function. If the dominant node i is in the same way as other load nodes j, the value is 1; otherwise, it is 0.

[0038] Among them, typical One way to set it up, In the formula, This represents the importance weight of the voltage deviation at node J, where important nodes (such as critical loads and voltage-sensitive equipment) correspond to a larger weight. Secondary nodes correspond to smaller ones Suppose there are 5 nodes, where nodes 2 and 4 are important nodes: .

[0039] Another configuration option is: Scale: N×N, the same as the number of load nodes; Diagonal elements: Importance weights of voltage deviations at each node; Off-diagonal elements: Importance of voltage deviation coupling between nodes (optional); Configuration criteria: Node importance, voltage sensitivity, economy, etc.; Core idea: The larger the weight, the more precisely the voltage at that node needs to be controlled. If you want to consider inter-node coupling, you can also: .

[0040] Among them, each indicator is normalized to ensure that its value is within the range of [0,1], satisfying: ; In the formula, For the first i The first distribution network k One classification indicator, For the first k The average of the indicators, For the first k The standard deviation of each indicator.

[0041] S3: Establish an equivalent model of the cluster distribution network for each cluster. In the equivalent model of the cluster distribution network, the distributed power flow controller is equivalent to the line impedance, the flexible distribution transformer is equivalent to the voltage source connected in series in the line, and the four-quadrant impedance regulator adopts the current / voltage controlled flux-compensated adjustable impedance.

[0042] Optionally, in the equivalent model of the clustered distribution network: the distributed power flow controller is equivalent to a line impedance, and the line impedance X of the distributed power flow controller is... ref Adjustments are made within the first adjustment range. The distributed power flow controller is modeled as follows: Figure 4 As shown: The distributed power flow controller is equivalent to a line impedance, and multiplying it by the high-voltage side current yields the voltage drop in the vertical direction. Distributed power flow controller impedance adjustment range: X min ≤ Xref ≤ X max The impedance regulation capability of the distributed power flow controller directly affects the reactive power distribution and voltage level of the system. This constraint ensures that the operation of the distributed power flow controller is within a controllable range.

[0043] Optionally, in the equivalent model of the clustered distribution network: the flexible distribution transformer is equivalent to a voltage source connected in series in the line, and the phase angle of the series voltage is in the same direction as the phase of the secondary voltage; the voltage source voltage U corresponding to the flexible distribution transformer is... refAdjustments are made within the second adjustment range. The flexible distribution transformer is modeled as follows: Figure 5 As shown: The flexible distribution transformer is equivalent to a voltage source connected in series in the line, with the phase angle of the series voltage in the same direction as the phase of the secondary voltage; the voltage regulation range of the flexible distribution transformer: U min ≤ Uref ≤U max As a series voltage source, the flexible distribution transformer compensates for system voltage deviations by adjusting its output voltage; this range ensures the effectiveness of the compensation.

[0044] Optionally, in the equivalent model of the clustered distribution network: a four-quadrant impedance regulator employs a current / voltage controlled flux-compensated adjustable impedance to detect the transformer's primary winding current. Two mutually orthogonal signals are generated through proportional control and 90° phase shift control, respectively. These two signals are superimposed as a reference signal, and the inverter is controlled to generate a controllable voltage signal applied to the transformer's secondary winding, following the reference signal. The amplification factor K of the four-quadrant impedance regulator... ref Adjustment is performed within the third adjustment range. The four-quadrant impedance adjustment device is modeled as follows: Figure 6 As shown: A four-quadrant impedance regulator employs a current / voltage controlled flux-compensated adjustable impedance. It detects the primary winding current of the transformer and generates two mutually orthogonal signals through proportional control and 90° phase shift control. These two signals are superimposed as a reference signal, which controls the inverter to generate a controllable voltage signal applied across the transformer's secondary winding. The amplification factor adjustment range of the four-quadrant impedance regulator is: K. min ≤ K ref ≤K max The four-quadrant impedance adjustment device acts as a parallel voltage source, generating a voltage signal by adjusting the amplification factor to control harmonics in the system. This range ensures the effectiveness of harmonic control.

[0045] S4: Superimpose the voltage deviations from the rated values ​​of each of the equivalent models of the distribution network cluster, and use this superposition as the target control function of the distribution network cluster; when designing the optimal control, minimize the deviation from the rated value as the optimization objective, and minimize the target control function as the optimization objective to control the distribution network cluster. Optionally, the target control function of the distribution network cluster is expressed as: ; Among them, U n This is the rated phase voltage; U i k represents the effective value of the load phase voltage corresponding to the i-th cluster; i is the weighting coefficient corresponding to the i-th cluster, and its size is the ratio of the corresponding load power to the total load power.

[0046] Specific implementation example: To verify the rationality and superiority of the distribution network cluster control method for flexible distribution equipment, the following implementation example is shown. Taking a certain distribution network area as an example, the voltage sensitivity matrix calculated according to method S1 is shown in Table 1.

[0047] Table 1

[0048] The off-diagonal elements of the voltage sensitivity matrix represent the sensitivity of a node's voltage to changes in current injection at other nodes. These values ​​are mostly small, such as... 0.0001 A value of 0.0003 indicates that the coupling between nodes is relatively weak, meaning that changes in the current injection of one node have little impact on the voltage of other nodes.

[0049] The elements [i,j] on the diagonal of the voltage sensitivity matrix represent the sensitivity of each node's voltage to its own current injection. The three larger diagonal elements in the matrix are: 8.7883 (6th row, 6th column) 8.7385 (7th row, 7th column) and The values ​​8.7397 (row 8, column 8) represent the voltage sensitivity of node 7, node 8, and node 9 to their own current injection, respectively. These values ​​are very high, indicating that nodes 7, 8, and 9 are highly sensitive to their own current injection. In other words, at these nodes, even small changes in current can cause large fluctuations in their voltage, resulting in weak voltage support and poor stability. Highly sensitive nodes (nodes 7, 8, and 9) may be weak links in the distribution network. Because the voltage at these nodes is particularly sensitive to load changes, it can lead to localized voltage instability. For these nodes, additional voltage regulation measures may be necessary, such as adding reactive power compensation equipment, adjusting load distribution, or strengthening voltage support.

[0050] Secondly, the flexible distribution network equipment is modeled and clustered according to S2. Based on the voltage sensitivity analysis above, the voltage status of nodes 7, 8, and 9 should be the focus of control. Since the working principle of a flexible transformer is to insert an adjustable voltage in series with the line, when a flexible distribution transformer is put into operation, changing the voltage of node 7 will inevitably affect the voltage of node 4. Therefore, nodes 4 and 7, 5 and 8, and 6 and 9 are divided into three clusters for control. The impact of the flexible transmission equipment in each area on the node voltage is as follows: Figure 2 As shown.

[0051] Finally, the optimized control commands obtained from the optimization algorithm are sent to each flexible transmission device in the distribution network. Adjustments are made through the operation of the switching transistors to achieve the desired control effect. After the control commands are issued, the changes in the effective voltage values ​​and waveforms of the two dominant nodes on the low-voltage side are as follows: Figure 3 As shown.

[0052] Example 2 This embodiment provides a distribution network cluster control device for flexible power distribution equipment, comprising the following modules: An acquisition module, used to acquire the voltage deviation of each load node in a distribution network containing flexible power distribution equipment. An allocation module, used to select multiple load nodes whose voltage deviation and stability metric values ​​meet set conditions as dominant nodes from all the load nodes; and allocate all the load nodes to the clusters corresponding to the multiple dominant nodes, with no duplicate load nodes in any cluster. A modeling module, used to establish an equivalent distribution network model for each cluster, wherein in the equivalent model: the distributed power flow controller is equivalent to line impedance, the flexible distribution transformer is equivalent to a voltage source connected in series in the line, and the four-quadrant impedance regulator adopts a current / voltage controlled flux-compensated adjustable impedance. A control module, used to superimpose the rated voltage deviation values ​​of each of the equivalent models of the distribution network clusters and use this as the target control function of the distribution network cluster; and control the distribution network cluster with minimizing the target control function as the optimization objective.

[0053] Example 3 This embodiment provides a power distribution network cluster control system for flexible power distribution equipment, including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the power distribution network cluster control method for flexible power distribution equipment.

[0054] Example 4 This embodiment provides a computer-readable storage medium storing a computer program thereon. When executed by a processor, the computer program implements the steps of the power distribution network cluster control method for flexible power distribution equipment. Specifically, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0055] Example 5 This invention provides a computer program product or computer program that includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the steps of the method described in the above embodiments of this invention.

[0056] The technical features of the embodiments described above can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification. It should be noted that the terms "in one embodiment," "for example," and "again" in this invention are intended to illustrate the invention and are not intended to limit the invention.

[0057] The embodiments described above are merely examples of several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A distribution network cluster control method for flexible power distribution equipment, characterized in that, include: S1: Obtain the voltage deviation of each load node in the power distribution network that includes flexible power distribution equipment; S2: Select multiple load nodes whose voltage deviation and stability metric values ​​meet the set conditions from all the load nodes as dominant nodes; assign all the load nodes to the clusters corresponding to the multiple dominant nodes, and there are no duplicate load nodes in any cluster; S3: Establish an equivalent model of the cluster distribution network for each cluster. In the equivalent model of the cluster distribution network: the distributed power flow controller is equivalent to the line impedance, the flexible distribution transformer is equivalent to the voltage source connected in series in the line, and the four-quadrant impedance regulator adopts current / voltage controlled flux-compensated adjustable impedance. S4: Superimpose the voltage deviations of the equivalent models of all distribution networks into their respective rated values ​​and use them as the target control function for the distribution network cluster. The distribution network cluster is controlled with the minimization of the target control function as the optimization objective. S2 includes: selecting P nodes as dominant nodes from N load nodes in the distribution network, so that the dominant node selection matrix is ​​of order P×N. Corresponding objective function The matrix reaches its minimum value at this point. middle If the value is 1, then node j is the i-th dominant node; It is a quadratic scalar value representing the weighted voltage deviation; for the dominant node i, calculate its performance similarity with other load nodes j. If the performance similarity r(i,j) is greater than the threshold, it is placed into the cluster corresponding to the dominant node i. ； in, It is an N×N symmetric matrix, whose diagonal elements represent the importance weight of voltage deviation at each node, and whose off-diagonal elements represent the importance of voltage deviation coupling between nodes. A larger element value indicates a higher importance for maintaining voltage deviation stability at that node; C is a 0-1 matrix, with each column containing exactly one 1; when node j is the i-th dominant node... The value is 1 if it is not 0 otherwise; intermediate parameter , The weight of the k-th indicator. The kth index value of the dominant node i The normalized value, The k-th index value of load node j The normalized value, where m is the total number of indicators; A and B represent the control method and communication method, respectively. It is a 0-1 function. If the dominant node i is in the same way as other load nodes j, the value is 1; otherwise, it is 0.

2. The power distribution network cluster control method for flexible power distribution equipment as described in claim 1, characterized in that, In the equivalent model of the clustered distribution network: the distributed power flow controller is equivalent to a line impedance, and the line impedance X of the distributed power flow controller is... ref Adjust within the first adjustment range.

3. The power distribution network cluster control method for flexible power distribution equipment as described in claim 2, characterized in that, In the equivalent model of the clustered distribution network: the flexible distribution transformer is equivalent to a voltage source connected in series in the line, and the phase angle of the series voltage is in the same direction as the phase of the secondary voltage; the voltage source voltage U corresponding to the flexible distribution transformer ref Adjustments are made within the second adjustment range.

4. The power distribution network cluster control method for flexible power distribution equipment as described in claim 2, characterized in that, In the equivalent model of the cluster distribution network: the four-quadrant impedance regulator adopts current / voltage control type flux-compensated adjustable impedance to detect the primary winding current of the transformer, and generates two mutually orthogonal signals through proportional control and 90° phase shift control respectively. The two signals are superimposed as a reference signal, and the inverter is controlled to follow the reference signal to generate a controllable voltage signal applied to both ends of the secondary winding of the transformer.

5. The power distribution network cluster control method for flexible power distribution equipment as described in claim 4, characterized in that, In the equivalent model of the clustered distribution network: the amplification factor K of the four-quadrant impedance regulator ref Adjustments are made within the third adjustment range.

6. The power distribution network cluster control method for flexible power distribution equipment as described in claim 1, characterized in that, The target control function of the power distribution network cluster is expressed as follows: ； Among them, U n This is the rated phase voltage; U i k represents the effective value of the load phase voltage corresponding to the i-th cluster; i is the weighting coefficient corresponding to the i-th cluster, and its size is the ratio of the corresponding load power to the total load power.

7. A power distribution network cluster control device for flexible power distribution equipment, characterized in that, The distribution network cluster control method for flexible power distribution equipment as described in claim 1 includes: The acquisition module is used to acquire the voltage deviation of each load node in a power distribution network that includes flexible power distribution equipment; The allocation module is used to select multiple load nodes whose voltage deviation and stability measurement values ​​meet the set conditions from all the load nodes as dominant nodes; and to allocate all the load nodes to the clusters corresponding to the multiple dominant nodes, with no duplicate load nodes in any cluster; A module is established to build an equivalent model of the cluster distribution network corresponding to each cluster. In the equivalent model of the cluster distribution network, the distributed power flow controller is equivalent to the line impedance, the flexible distribution transformer is equivalent to the voltage source connected in series in the line, and the four-quadrant impedance regulator adopts the current / voltage control type flux-compensated adjustable impedance. The control module is used to superimpose the voltage deviations of the equivalent models of all distribution networks into the target control function of the distribution network cluster; and to control the distribution network cluster by minimizing the target control function.

8. A power distribution network cluster control system for flexible power distribution equipment, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.

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