Method and device for regulating and controlling power quality of power distribution network and computer readable storage medium

Abstract

The invention discloses a power distribution network electric energy quality regulation and control method and device and a computer readable storage medium. The method comprises the step of determining the installation positions of the dynamic voltage restorer and the active power filter by calculating the longitudinal and transverse sensitivity of each node. Constructing a capacity configuration model by taking minimization of investment cost of the two as a target, and setting corresponding constraint conditions; and solving the model under constraint conditions to obtain a dynamic voltage restorer and active power filter capacity configuration scheme with optimal cost. According to a site selection and capacity configuration scheme, the dynamic voltage restorer and the active power filter are connected to the power distribution network, and the power quality of the power distribution network is effectively regulated and controlled. According to the method, through the equipment site selection and capacity configuration strategy, the number of variables needing to be optimized at the same time is reduced, the calculation complexity and time consumption are reduced, and the efficiency and practicability of electric energy quality regulation and control are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power quality control of distribution networks, and specifically relates to a method, device and computer-readable storage medium for controlling power quality of distribution networks. Background Art

[0002] With the widespread access of nonlinear loads and distributed power sources, distribution networks are facing increasingly severe power quality problems, mainly manifested in voltage surges and dips, current harmonics and other problems.

[0003] In order to solve the problems of voltage swell and sag, current harmonics, etc., the current technical strategy relies on intelligent algorithms to synchronously select the site and configure the capacity of power quality control equipment. Power quality control devices mainly include: dynamic voltage restorer, active power filter, static VAR compensator, etc. However, with the increase in the number of access nodes and distribution points in the distribution network, the number of variables that need to be optimized also increases, which leads to a significant increase in the computational complexity of the intelligent algorithm, a long time consumption, and a difficult solution process. It is not suitable for distribution networks with complex structures or variable working conditions. Summary of the invention

[0004] The embodiments of the present invention provide a method, device and computer-readable storage medium for regulating the power quality of a distribution network, which reduce the number of variables that need to be optimized simultaneously, reduce the computational complexity and time consumption, and improve the efficiency and practicality of power quality regulation.

[0005] An embodiment of the present invention provides a method, device and computer-readable storage medium for regulating power quality of a distribution network, including:

[0006] The sensitivity of a dynamic voltage restorer and an active power filter installed at each node in the distribution network is obtained; wherein the sensitivity includes longitudinal sensitivity and transverse sensitivity.

[0007] The longitudinal sensitivity and the transverse sensitivity of the dynamic voltage restorer installed at each node are sorted respectively to obtain a first sorting order and a second sorting order; and the final installation position of the dynamic voltage restorer is determined according to the first sorting order and the second sorting order.

[0008] The longitudinal sensitivity and the transverse sensitivity of each node where the active power filter is installed are sorted respectively to obtain a third sorting order and a fourth sorting order; and the final installation position of the active power filter is determined according to the third sorting order and the fourth sorting order.

[0009] With the goal of minimizing the sum of the investment costs of the dynamic voltage restorer and the active power filter, a capacity configuration model of the dynamic voltage restorer and the active power filter is constructed.

[0010] Constraints for constructing capacity configuration models for dynamic voltage restorers and active power filters.

[0011] Under the constraints of the dynamic voltage restorer and active power filter capacity configuration model, the dynamic voltage restorer and active power filter capacity configuration model is solved to generate the capacity configuration of the dynamic voltage restorer and active power filter when the sum of the investment costs of the dynamic voltage restorer and active power filter is minimized.

[0012] According to the site selection of the dynamic voltage restorer and the active power filter and the capacity configuration of the dynamic voltage restorer and the active power filter, the dynamic voltage restorer and the active power filter are connected to the distribution network, and then the power quality of the distribution network is regulated.

[0013] Furthermore, the longitudinal sensitivity and transverse sensitivity of the dynamic voltage restorer installed at each node in the distribution network are obtained, including:

[0014] When the dynamic voltage restorer is not installed, the voltage deviation rate of each node in the distribution network is calculated.

[0015] A dynamic voltage restorer with a preset capacity is installed on each node in turn, and the voltage deviation rate is calculated respectively to obtain the voltage deviation rate of each node in the distribution network after the dynamic voltage restorer is installed.

[0016] According to the voltage deviation rate of each node before the dynamic voltage restorer is installed and the voltage deviation rate after the dynamic voltage restorer is installed, the sensitivity coefficient of each node installing the dynamic voltage restorer is calculated.

[0017] For each node, the sensitivity coefficient of the node is added to the sensitivity coefficient of the node in a longitudinal relationship with the node to obtain the longitudinal sensitivity of the dynamic voltage restorer installed at the node.

[0018] The sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a transverse relationship with the node to obtain the transverse sensitivity of the node installed with the dynamic voltage restorer.

[0019] Furthermore, the longitudinal sensitivity and transverse sensitivity of the active power filter installed at each node in the distribution network are obtained, including:

[0020] When no active power filter is installed, the harmonic voltage distortion rate of each node in the distribution network is calculated.

[0021] An active power filter of a preset capacity is installed on each node in turn, and the harmonic voltage distortion rate is calculated respectively to obtain the harmonic voltage distortion rate of each node of the distribution network after the active power filter is installed.

[0022] According to the harmonic voltage distortion rate of each node before the active power filter is installed and the harmonic voltage distortion rate after the active power filter is installed, the sensitivity coefficient of each node installing the active power filter is calculated.

[0023] For each node, the sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a longitudinal relationship with the node to obtain the longitudinal sensitivity of the active power filter installed at the node.

[0024] The sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a transverse relationship with the node to obtain the transverse sensitivity of the active power filter installed at the node.

[0025] Further, the longitudinal sensitivity and the transverse sensitivity of each node for installing the dynamic voltage restorer are sorted respectively to obtain a first sorting order and a second sorting order; and according to the first sorting order and the second sorting order, a final installation position of the dynamic voltage restorer is determined, including:

[0026] The longitudinal sensitivity and the transverse sensitivity of the dynamic voltage restorer installed on each node are sorted in descending order of sensitivity to obtain a first sorting order and a second sorting order.

[0027] According to the first sorting order, in each longitudinal structure, the first M nodes are selected as the initial node sequence for installing the dynamic voltage restorer.

[0028] It is determined whether there are nodes that are vertically related and adjacent to each other in the initial node sequence for installing the dynamic voltage restorer.

[0029] If there are nodes that are mutually vertically related and adjacent, then all the nodes that are mutually vertically related and adjacent are removed from the initial node sequence where the dynamic voltage restorer is installed, and an updated first node sequence is generated.

[0030] All nodes that are vertically related and adjacent to each other are put into a first set as a set of candidate nodes for installing a dynamic voltage restorer.

[0031] The nodes in the candidate node set for installing the dynamic voltage restorer are grouped to obtain a plurality of first node groups; wherein the nodes in each first node group are in a vertical relationship with each other and are adjacent.

[0032] According to the second sorting, a node with the largest lateral sensitivity is selected from each first node group and added to the node sequence after the first update, so as to obtain a second node sequence after the second update.

[0033] According to the second node sequence, the final installation position of the dynamic voltage restorer is determined.

[0034] Further, the longitudinal sensitivity and the transverse sensitivity of each node installed with the active power filter are sorted respectively to obtain a third sorting order and a fourth sorting order; according to the third sorting order and the fourth sorting order, the final installation position of the active power filter is determined, including:

[0035] The longitudinal sensitivity and transverse sensitivity of the active power filter installed at each node are sorted in descending order of sensitivity to obtain a third sorting order and a fourth sorting order.

[0036] According to the third sorting order, in each longitudinal structure, the first N nodes are selected as the initial node sequence for installing the active power filter.

[0037] It is determined whether there are nodes that are vertically related and adjacent to each other in the initial node sequence for installing the active power filter.

[0038] If there are nodes that are mutually vertically related and adjacent, all the nodes that are mutually vertically related and adjacent are removed from the initial node sequence where the active power filter is installed, and an updated third node sequence is generated.

[0039] All nodes that are in a vertical relationship and adjacent to each other are put into a second set as a set of candidate nodes for installing an active power filter.

[0040] The nodes in the candidate node set for installing the active power filter are grouped to obtain a plurality of third node groups; wherein the nodes in each third node group are in a vertical relationship and adjacent to each other;

[0041] According to the fourth sorting, a node with the largest lateral sensitivity is selected from each third node group and added to the node sequence after the first update, so as to obtain a fourth node sequence after the second update.

[0042] According to the fourth node sequence, the final installation position of the active power filter is determined.

[0043] Furthermore, the capacity configuration model includes:

[0044]

[0045]

[0046]

[0047] Among them, C is the objective function; Install capacity for the dynamic voltage restorer at node i; is the installed capacity of active power filter at node j; m is the number of dynamic voltage restorers installed; n is the number of active power filters installed; f(x) is the cost function; T is the basic installation cost of active power filter invested in node i; K i It is the unit capacity cost of active power filter.

[0048] Furthermore, the constraints include:

[0049] Grid flow safety equation constraints, dynamic voltage restorer power quality compensation maximum compensation constraints, active power filter harmonic compensation maximum compensation constraints, node voltage range constraints and node harmonic voltage distortion rate constraints.

[0050] The grid power flow security equation constraint is:

[0051]

[0052] Among them, P G Active power injected into the generator; Q G is the injected reactive power; P L，i is the active power consumed by the load on node i; Q L，i is the reactive power consumed; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the admittance between node i and node j; B ij is the susceptance between node i and node j; δ ij is the phase difference between node i and node j.

[0053] The maximum compensation amount constraint of the dynamic voltage restorer power quality compensation is: S DVR，i ≤S MAX，i ; Among them, S MAX，i is the maximum capacity of the i-th dynamic voltage restorer.

[0054] The maximum compensation amount constraint of the active power filter harmonic compensation is: Among them, S APF，ci is the total harmonic compensation capacity of the ci-th active power filter; K APF，ci A capacity factor is reserved for the ci-th active power filter to ensure that the capacity of the active power filter is sufficient to compensate for the disturbance of the harmonics; is the rated capacity of the cith active power filter.

[0055] The node voltage range constraint is: V min ≤V i ≤V max ; Among them, V i is the voltage of node i; Vmin is the lower limit of system voltage; V max The upper limit of system voltage.

[0056] The node harmonic voltage distortion rate constraint is: ΔTHD i ≤4%; where ΔTHD i is the harmonic voltage distortion rate of node i.

[0057] Furthermore, the power quality of the distribution network is regulated, including:

[0058] The reactive power compensation capability of the dynamic voltage restorer and active power filter is utilized to perform reactive power compensation on the voltage of the distribution network.

[0059] Determine whether there is any remaining capacity of the active power filter after reactive power compensation.

[0060] If the active power filter has surplus capacity, the maximum value of the harmonic current that can be compensated is determined based on the surplus capacity, and the harmonics are offset by injecting a current that is equal in magnitude and opposite in direction to the harmonic current.

[0061] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0062] An embodiment of the present invention provides a control device for power quality of a distribution network, comprising: a data acquisition module, a sorting and site selection module, a model construction module, a constraint construction module, a capacity solving module and a control module.

[0063] The data acquisition module is used to obtain the sensitivity of the dynamic voltage restorer and active power filter installed at each node in the distribution network; wherein the sensitivity includes longitudinal sensitivity and transverse sensitivity.

[0064] The sorting and site selection module is used to sort the longitudinal sensitivity and transverse sensitivity of each node for installing a dynamic voltage restorer, respectively, to obtain a first sorting order and a second sorting order; determine the final installation position of the dynamic voltage restorer according to the first sorting order and the second sorting order; sort the longitudinal sensitivity and transverse sensitivity of each node for installing an active power filter, respectively, to obtain a third sorting order and a fourth sorting order; determine the final installation position of the active power filter according to the third sorting order and the fourth sorting order.

[0065] The model building module is used to build a capacity configuration model of the dynamic voltage restorer and the active power filter with the goal of minimizing the sum of the investment costs of the dynamic voltage restorer and the active power filter;

[0066] The constraint building module is used to build constraint conditions of the dynamic voltage restorer and active power filter capacity configuration model.

[0067] The capacity solving module is used to solve the capacity configuration model of the dynamic voltage restorer and the active power filter under the constraint conditions of the capacity configuration model of the dynamic voltage restorer and the active power filter, and generate the capacity configuration of the dynamic voltage restorer and the active power filter when the sum of the investment costs of the dynamic voltage restorer and the active power filter is minimized.

[0068] The control module is used to connect the dynamic voltage restorer and the active power filter to the distribution network according to the site selection of the dynamic voltage restorer and the active power filter and the capacity configuration of the dynamic voltage restorer and the active power filter, and then control the power quality of the distribution network.

[0069] Based on the above method embodiment, the present invention provides a corresponding computer-readable storage medium embodiment.

[0070] An embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for controlling the power quality of a distribution network as described in any one of the above method embodiments can be implemented.

[0071] Compared with the prior art, the present invention has the following beneficial effects:

[0072] The present invention calculates the longitudinal sensitivity and transverse sensitivity of each node, sorts them according to the longitudinal sensitivity and transverse sensitivity, and selects key nodes to determine the installation location of the dynamic voltage restorer and the active power filter. A dynamic voltage restorer and active power filter capacity configuration model with the goal of minimizing the investment cost of the dynamic voltage restorer and the active power filter is constructed, and corresponding constraints are set. Then the model is solved under the constraints to determine the optimal dynamic voltage restorer and active power filter capacity configuration, so as to effectively regulate the distribution network. Compared with the intelligent algorithm used in the prior art, by selecting the site and capacity configuration of the dynamic voltage restorer and the active power filter respectively, the calculation based on the sensitivity analysis method gives priority to selecting nodes with significant regulation effect for equipment installation, which can reduce the number of variables that need to be optimized at the same time, reduce the calculation complexity and time consumption, and make the optimization process more efficient, thereby effectively regulating the voltage problem and harmonic problem in the distribution network and improving the overall power quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flow chart of a method for regulating power quality of a distribution network provided by one embodiment of the present invention.

[0074] Figure 2 It is a structural schematic diagram of a device for regulating power quality of a distribution network provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0075] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0076] like Figure 1 As shown, an embodiment of the present invention provides a method for regulating power quality of a distribution network, which at least includes the following steps:

[0077] Step S1, obtaining the sensitivity of a dynamic voltage restorer and an active power filter installed at each node in a distribution network; wherein the sensitivity includes longitudinal sensitivity and transverse sensitivity.

[0078] Specifically, in a preferred embodiment, obtaining the longitudinal sensitivity and transverse sensitivity of a dynamic voltage restorer installed at each node in the distribution network includes:

[0079] When the dynamic voltage restorer is not installed, the voltage deviation rate of each node in the distribution network is calculated.

[0080] A dynamic voltage restorer with a preset capacity is installed on each node in turn, and the voltage deviation rate is calculated respectively to obtain the voltage deviation rate of each node in the distribution network after the dynamic voltage restorer is installed.

[0081] According to the voltage deviation rate of each node before the dynamic voltage restorer is installed and the voltage deviation rate after the dynamic voltage restorer is installed, the sensitivity coefficient of each node installing the dynamic voltage restorer is calculated.

[0082] For each node, the sensitivity coefficient of the node is added to the sensitivity coefficient of the node in a longitudinal relationship with the node to obtain the longitudinal sensitivity of the dynamic voltage restorer installed at the node.

[0083] The sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a transverse relationship with the node to obtain the transverse sensitivity of the node installed with the dynamic voltage restorer.

[0084] Specifically, in a preferred embodiment, obtaining the longitudinal sensitivity and transverse sensitivity of each node in the distribution network whether an active power filter is installed or not includes:

[0085] When no active power filter is installed, the harmonic voltage distortion rate of each node in the distribution network is calculated.

[0086] An active power filter of a preset capacity is installed on each node in turn, and the harmonic voltage distortion rate is calculated respectively to obtain the harmonic voltage distortion rate of each node of the distribution network after the active power filter is installed.

[0087] According to the harmonic voltage distortion rate of each node before the active power filter is installed and the harmonic voltage distortion rate after the active power filter is installed, the sensitivity coefficient of each node installing the active power filter is calculated.

[0088] For each node, the sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a longitudinal relationship with the node to obtain the longitudinal sensitivity of the active power filter installed at the node.

[0089] The sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a transverse relationship with the node to obtain the transverse sensitivity of the active power filter installed at the node.

[0090] Preferably, in the present invention, the calculation formula of the voltage offset rate is as follows:

[0091]

[0092] Among them, I V，j is the voltage deviation rate of node j; V j is the voltage amplitude of node j; V0 is the voltage amplitude of the first node in the distribution network.

[0093] The calculation formula for the sensitivity coefficient of the dynamic voltage restorer is as follows:

[0094]

[0095] Among them, V i，j The sensitivity coefficient between node i and node j when a dynamic voltage restorer is installed; ΔI V，j After installing a dynamic voltage restorer with preset capacity for node i, the voltage offset rate change value of node j; Δα i Install capacity for the dynamic voltage restorer at node i.

[0096] Preferably, in the present invention, the calculation formula of harmonic distortion rate is as follows:

[0097]

[0098] in, is the effective value of the hth harmonic voltage at the jth point; is the fundamental voltage.

[0099] The calculation formula for the sensitivity coefficient of the installed active power filter is as follows:

[0100]

[0101] Among them, S i，j The sensitivity coefficient between node i and node j when an active power filter is installed; ΔTHD j After installing an active power filter with a preset capacity for node i, the change in the harmonic voltage distortion rate at node j; Δα i is the installed capacity of the active power filter at node i.

[0102] Preferably, the vertical and horizontal relationships between nodes are defined as follows:

[0103] Vertical relationship: In a radial distribution network, nodes connected to the same feeder are in vertical relationship with each other. Since these nodes are directly connected to the same power transmission path, there is a direct electrical connection between them. If a radial network contains three feeders, each feeder will form an independent vertical structure, and all nodes on the feeder belong to the same vertical relationship group.

[0104] Horizontal relationship: In a radial distribution network, nodes connected to different feeders are in horizontal relationship with each other. Although these nodes are not directly connected to the same feeder, they are indirectly connected through other parts of the power grid, such as substations or distribution hubs.

[0105] This means that by calculating the voltage deviation rate and harmonic voltage distortion rate of each node before and after the installation of the dynamic voltage restorer and active power filter, the specific effect of these devices on improving the power quality of the power grid can be accurately quantified. Based on the sensitivity of each node, the installation location of the dynamic voltage restorer and active power filter can be planned more reasonably to achieve the optimal allocation of resources and maximize the overall power quality improvement effect of the power grid.

[0106] Step S2, sorting the longitudinal sensitivity and transverse sensitivity of the dynamic voltage restorer installed at each node respectively to obtain a first sorting order and a second sorting order; determining the final installation position of the dynamic voltage restorer according to the first sorting order and the second sorting order.

[0107] Specifically, in a preferred embodiment, the longitudinal sensitivity and the transverse sensitivity of each node for installing a dynamic voltage restorer are sorted respectively to obtain a first sorting order and a second sorting order; and according to the first sorting order and the second sorting order, the final installation position of the dynamic voltage restorer is determined, including:

[0108] The longitudinal sensitivity and the transverse sensitivity of the dynamic voltage restorer installed on each node are sorted in descending order of sensitivity to obtain a first sorting order and a second sorting order.

[0109] According to the first sorting order, in each longitudinal structure, the first M nodes are selected as the initial node sequence for installing the dynamic voltage restorer.

[0110] It is determined whether there are nodes that are vertically related and adjacent to each other in the initial node sequence for installing the dynamic voltage restorer.

[0111] If there are nodes that are mutually vertically related and adjacent, then all the nodes that are mutually vertically related and adjacent are removed from the initial node sequence where the dynamic voltage restorer is installed, and a first node sequence after an update is generated;

[0112] All nodes that are vertically related and adjacent to each other are put into a first set as a set of candidate nodes for installing a dynamic voltage restorer.

[0113] The nodes in the candidate node set for installing the dynamic voltage restorer are grouped to obtain a plurality of first node groups; wherein the nodes in each first node group are in a vertical relationship with each other and are adjacent.

[0114] According to the second sorting, a node with the largest lateral sensitivity is selected from each first node group and added to the node sequence after the first update, so as to obtain a second node sequence after the second update.

[0115] According to the second node sequence, the final installation position of the dynamic voltage restorer is determined.

[0116] Preferably, in the present invention, M in the first M nodes is a positive integer, such as 3, 4, 5, etc.

[0117] Exemplarily, if according to the first sorting order, the first 12 nodes are selected as the initial node sequence for installing the dynamic voltage restorer, and 5 of the nodes are mutually vertically related and adjacent nodes, then these 5 nodes are removed from the initial node sequence for installing the dynamic voltage restorer to generate a first node sequence after an update, and the first node sequence after an update contains 7 nodes. Then put the removed 5 nodes into a first set as a candidate node set for installing the dynamic voltage restorer. The 5 nodes in the candidate node set for installing the dynamic voltage restorer are grouped according to whether the nodes are mutually vertically related and adjacent, and two groups are obtained, one of which contains 3 nodes and the other contains 2 nodes, and the nodes are mutually vertically related and adjacent. According to the second sorting order, the nodes with the largest lateral sensitivity in the group are selected respectively, and 2 nodes are obtained for the two groups. Then these 2 nodes are added to the 7 nodes of the first node sequence after an update to obtain a second node sequence after a second update, and the second node sequence after a second update contains 9 nodes. These 9 nodes are used as the final installation position of the dynamic voltage restorer.

[0118] This means that removing the nodes that are vertically related and adjacent to each other in the initial node sequence for installing the dynamic voltage restorer can effectively avoid redundant installation of dynamic voltage restorers at these locations. Since these nodes are closely connected electrically, the voltage fluctuations between them usually have similar characteristics, so installing a dynamic voltage restorer on one of the nodes can often indirectly improve the voltage quality of the adjacent nodes. In addition, grouping the nodes that are vertically related and adjacent to each other and selecting the node with the largest lateral sensitivity from each group for installation can ensure that the lateral improvement effect is maximized while maintaining the longitudinal improvement effect. This helps to improve the resource utilization efficiency of the dynamic voltage restorer and avoid unnecessary waste.

[0119] Step S3, sorting the longitudinal sensitivity and transverse sensitivity of each node installed with the active power filter respectively to obtain a third sorting order and a fourth sorting order; and determining the final installation position of the active power filter according to the third sorting order and the fourth sorting order.

[0120] Specifically, in a preferred embodiment, the longitudinal sensitivity and the transverse sensitivity of each node when the active power filter is installed are sorted respectively to obtain a third sorting order and a fourth sorting order; according to the third sorting order and the fourth sorting order, the final installation position of the active power filter is determined, including:

[0121] The longitudinal sensitivity and transverse sensitivity of the active power filter installed at each node are sorted in descending order of sensitivity to obtain a third sorting order and a fourth sorting order.

[0122] According to the third sorting order, in each longitudinal structure, the first N nodes are selected as the initial node sequence for installing the active power filter.

[0123] It is determined whether there are nodes that are vertically related and adjacent to each other in the initial node sequence for installing the active power filter.

[0124] If there are nodes that are mutually vertically related and adjacent, all the nodes that are mutually vertically related and adjacent are removed from the initial node sequence where the active power filter is installed, and an updated third node sequence is generated.

[0125] All nodes that are in a vertical relationship and adjacent to each other are put into a second set as a set of candidate nodes for installing an active power filter.

[0126] The nodes in the candidate node set for installing the active power filter are grouped to obtain a plurality of third node groups; wherein the nodes in each third node group are in a vertical relationship with each other and are adjacent.

[0127] According to the fourth sorting, a node with the largest lateral sensitivity is selected from each third node group and added to the node sequence after the first update, so as to obtain a fourth node sequence after the second update.

[0128] According to the fourth node sequence, the final installation position of the active power filter is determined.

[0129] Preferably, in the present invention, N in the first N nodes is a positive integer, such as 3, 4, 5, etc.

[0130] Exemplarily, if according to the third sorting order, the first 15 nodes are selected as the initial node sequence for installing the active power filter, and 5 of the nodes are mutually vertically related and adjacent nodes, then these 5 nodes are removed from the initial node sequence for installing the active power filter to generate a third node sequence after one update, and the third node sequence after one update contains 10 nodes. Then the removed 5 nodes are placed in a second set as a candidate node set for installing the active power filter. The 5 nodes in the candidate node set for installing the active power filter are grouped according to whether the nodes are mutually vertically related and adjacent, and two groups are obtained, one of which contains 3 nodes and the other contains 2 nodes, and the nodes are mutually vertically related and adjacent. According to the fourth sorting order, the nodes with the largest lateral sensitivity in the group are selected respectively, and 2 nodes are obtained for the two groups. Then these 2 nodes are added to the 10 nodes of the third node sequence after one update to obtain a fourth node sequence after two updates, and the fourth node sequence after two updates contains 12 nodes. These 12 nodes are used as the final installation position of the active power filter.

[0131] This means that by removing the nodes that are vertically related and adjacent to each other in the initial node sequence for installing active power filters, it is possible to avoid redundant installation of active power filters at these locations, optimize resource allocation, and ensure that the installation location of active power filters is more reasonable, thereby achieving the maximum harmonic suppression effect under limited resources. This helps to more effectively control the propagation of harmonics in the power grid and improve the stability of the entire power grid.

[0132] Step S4: constructing a capacity configuration model of the dynamic voltage restorer and the active power filter with the goal of minimizing the sum of the investment costs of the dynamic voltage restorer and the active power filter.

[0133] Specifically, in a preferred embodiment, the capacity configuration model includes:

[0134]

[0135]

[0136]

[0137] Among them, C is the objective function; Install capacity for the dynamic voltage restorer at node i; is the installed capacity of active power filter at node j; m is the number of dynamic voltage restorers installed; n is the number of active power filters installed; f(x) is the cost function; T is the basic installation cost of active power filter invested in node i; K i It is the unit capacity cost of active power filter.

[0138] Preferably, f(x) is a cost function; Cost function for installing capacity of dynamic voltage restorer at node i; is the cost function for installing the active power filter capacity at node j.

[0139] This means that by building a capacity configuration model, resources can be allocated reasonably to ensure that the capacity configuration of the dynamic voltage restorer and active power filter can meet system requirements without wasting resources. Unnecessary investment can be reduced and cost-effectiveness can be maximized.

[0140] Step S5: construct constraint conditions for the capacity configuration model of the dynamic voltage restorer and active power filter.

[0141] Specifically, in a preferred embodiment, the constraint conditions include:

[0142] Grid power flow safety equation constraints, dynamic voltage restorer power quality compensation maximum compensation constraints, active power filter harmonic compensation maximum compensation constraints, node voltage range constraints and node harmonic voltage distortion rate constraints;

[0143] The grid power flow security equation constraint is:

[0144]

[0145] Among them, P G Active power injected into the generator; Q G is the injected reactive power; P L，i is the active power consumed by the load on node i; Q L，i is the reactive power consumed; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the admittance between node i and node j; B ij is the susceptance between node i and node j; δ ij is the phase difference between node i and node j.

[0146] The maximum compensation amount constraint of the dynamic voltage restorer power quality compensation is: S DVR，i ≤S MAX，i ; Among them, S MAX，i is the maximum capacity of the u-th dynamic voltage restorer.

[0147] The maximum compensation amount constraint of the active power filter harmonic compensation is: Among them, S APF，ci is the total harmonic compensation capacity of the ci-th active power filter; k APF，ci A capacity factor is reserved for the ci-th active power filter to ensure that the capacity of the active power filter is sufficient to compensate for the disturbance of the harmonics; is the rated capacity of the cith active power filter.

[0148] The node voltage range constraint is: V min ≤V i ≤V max ; Among them, V i is the voltage of node i; V min is the lower limit of system voltage; V max The upper limit of system voltage.

[0149] The node harmonic voltage distortion rate constraint is: ΔTHD i ≤4%; where ΔTHD i is the harmonic voltage distortion rate of node i.

[0150] This means that by building constraints, the distribution network is ensured to meet power balance at all times, comply with power policies and power quality standards, and ensure that the compensation operations of dynamic voltage restorers and active power filters do not exceed the capabilities of the equipment.

[0151] Step S6: Under the constraints of the dynamic voltage restorer and active power filter capacity configuration model, the dynamic voltage restorer and active power filter capacity configuration model is solved to generate the capacity configuration of the dynamic voltage restorer and the active power filter when the sum of the investment costs of the dynamic voltage restorer and the active power filter is minimized.

[0152] Specifically, in a preferred embodiment, an improved particle swarm algorithm is used to solve the capacity configuration model, and the particle swarm size, iteration number, space dimension, inertia weight, and learning factor are set according to the capacity configuration model.

[0153] The fitness of each particle is calculated; the fitness value represents the sum of the investment costs of the dynamic voltage restorer and the active power filter.

[0154] Update the individual optimal value and the global optimal value. The individual optimal value is the best position found by each particle in the search process and its corresponding fitness. The global optimal value is the best position found by all particles and its corresponding fitness. The position of each particle represents the output capacity of the dynamic voltage restorer or active power filter.

[0155] Update the particle speed, position and inertia weight until the particle fitness meets the constraints of the capacity configuration model and the fitness satisfies the minimum investment cost or the number of iterations reaches the maximum number of iterations, and output the capacity configuration of the dynamic voltage restorer or active power filter.

[0156] The formula for particles to update their own speed, position and inertia weight is as follows:

[0157]

[0158]

[0159]

[0160] Where k is the current iteration number; v id and x i d is the velocity and position of particle i in the dth dimension; c1 and c2 are learning factors, rand1 and rand2 are random numbers between [0,1]; and Respectively represent the maximum and minimum values ​​of the weight; k n is the current iteration number; k max Indicates the maximum number of iterations.

[0161] Optionally, in the present invention, the maximum number of iterations of the particle swarm can be set to 800, the spatial dimension is 6, the number of particles is 100, the maximum and minimum values ​​of the inertia weight are 0.9 and 0.4 respectively, and the learning factors c1 and c2 are 2. The maximum number of iterations is set to 300.

[0162] This means that the improved particle swarm algorithm can find a near-optimal solution in a shorter time with its fast convergence speed, help determine the optimal capacity configuration of the dynamic voltage restorer and active power filter, effectively reduce investment costs, and meet the operation requirements of the power system at the same time, reduce voltage fluctuations and harmonic distortion, and ensure the stability and voltage quality of the power system. Moreover, the automation characteristics of the improved particle swarm algorithm reduce manual intervention and improve the efficiency and accuracy of the distribution network control process.

[0163] Step S7: according to the site selection of the dynamic voltage restorer and the active power filter and the capacity configuration of the dynamic voltage restorer and the active power filter, the dynamic voltage restorer and the active power filter are connected to the distribution network, and then the power quality of the distribution network is regulated.

[0164] Specifically, in a preferred embodiment, regulating the power quality of the distribution network includes: utilizing the reactive power compensation capability of a dynamic voltage restorer and an active power filter to perform reactive power compensation on the voltage of the distribution network;

[0165] Determine whether there is any remaining capacity of the active power filter after reactive power compensation;

[0166] If the active power filter has surplus capacity, the maximum value of the harmonic current that can be compensated is determined based on the surplus capacity, and the harmonics are offset by injecting a current that is equal in magnitude and opposite in direction to the harmonic current.

[0167] Preferably, the compensation values ​​of the dynamic voltage restorer and the active power filter in the distribution network are initialized.

[0168] Calculate the voltage deviation rate of all nodes in the distribution network, and determine whether the voltage deviation rate of all nodes meets the voltage deviation rate requirement of the distribution network.

[0169] If the voltage deviation rate requirement of the distribution network is not met, the remaining capacity of the dynamic voltage restorer and active power filter shall be called for reactive power compensation in the order of priority until the voltage deviation rate of all nodes meets the voltage deviation rate requirement of the distribution network or the capacity of the dynamic voltage restorer and active power filter is exhausted.

[0170] If the requirements of the distribution network voltage deviation rate are met, it means that the voltage problem has been solved at this time, and there is no need to use the reactive compensation capabilities of the dynamic voltage restorer and active power filter to perform reactive compensation on the voltage of the distribution network.

[0171] On the basis of solving the voltage problem, the voltage harmonic distortion rate of all nodes in the distribution network is determined and calculated, and it is determined whether the voltage harmonic distortion rate of all nodes meets the requirements of the voltage harmonic distortion rate of the distribution network.

[0172] If the requirements of the voltage harmonic distortion rate of the distribution network are not met, it is determined whether the active power filter has remaining capacity. If the active power filter has remaining capacity, the maximum value of the harmonic current that can be compensated is determined based on the remaining capacity, and the harmonics are offset by injecting a current that is equal to the harmonic current in magnitude and opposite in direction until the voltage harmonic distortion rate meets the requirements of the voltage harmonic distortion rate of the distribution network.

[0173] If the requirements of the harmonic distortion rate of the distribution network voltage are met, it means that the harmonic problem has been solved at this time, and there is no need to inject a current equal to the harmonic current and opposite to the harmonic current to offset the harmonics.

[0174] This means that by optimizing the compensation values ​​of the dynamic voltage restorer and active power filter, the voltage offset and voltage fluctuation can be reduced, thereby improving the voltage quality of the entire distribution network. It can also reduce the voltage harmonic distortion rate, reduce the impact on power equipment and power equipment, and improve the stability of the distribution network.

[0175] Based on the above method embodiment, the present invention provides a corresponding device embodiment.

[0176] like Figure 2 As shown, an embodiment of the present invention provides a control device for power quality of a distribution network, including: a data acquisition module 101, a sorting and site selection module 102, a model construction module 103, a constraint construction module 104, a capacity solution module 105 and a control module 106.

[0177] The data acquisition module 101 is used to acquire the sensitivity of the dynamic voltage restorer and active power filter installed at each node in the distribution network, wherein the sensitivity includes longitudinal sensitivity and transverse sensitivity.

[0178] The sorting and site selection module 102 is used to sort the longitudinal sensitivity and transverse sensitivity of each node for installing a dynamic voltage restorer, respectively, to obtain a first sorting order and a second sorting order; determine the final installation position of the dynamic voltage restorer according to the first sorting order and the second sorting order; sort the longitudinal sensitivity and transverse sensitivity of each node for installing an active power filter, respectively, to obtain a third sorting order and a fourth sorting order; determine the final installation position of the active power filter according to the third sorting order and the fourth sorting order.

[0179] The model building module 103 is used to build a capacity configuration model of the dynamic voltage restorer and the active power filter with the goal of minimizing the sum of the investment costs of the dynamic voltage restorer and the active power filter.

[0180] The constraint building module 104 is used to build constraint conditions of the capacity configuration model of the dynamic voltage restorer and the active power filter.

[0181] The capacity solving module 105 is used to solve the capacity configuration model of the dynamic voltage restorer and the active power filter under the constraints of the capacity configuration model of the dynamic voltage restorer and the active power filter, and generate the capacity configuration of the dynamic voltage restorer and the active power filter when the sum of the investment costs of the dynamic voltage restorer and the active power filter is minimized.

[0182] The control module 106 is used to connect the dynamic voltage restorer and the active power filter to the distribution network according to the site selection of the dynamic voltage restorer and the active power filter and the capacity configuration of the dynamic voltage restorer and the active power filter, and then control the power quality of the distribution network.

[0183] Another embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for regulating the power quality of a distribution network according to the present invention is implemented.

[0184] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0185] The computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form. The computer-readable storage medium may include: any entity or device, medium, USB flash drive, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electric carrier signal, telecommunication signal and software distribution medium, etc. that can carry the computer program code. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals. For ease of explanation, the above content only shows the part related to the embodiment of the present invention. For specific technical details not disclosed, please refer to the method part of the embodiment of the present invention. The computer-readable storage medium is non-temporary and can be stored in a storage device formed by various electronic devices, which can realize the execution process recorded in the method of the embodiment of the present invention.

[0186] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0187] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0188] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0189] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0190] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for regulating the power quality of a distribution network, characterized in that: include: Obtaining the sensitivity of a dynamic voltage restorer and an active power filter installed at each node in the distribution network; wherein the sensitivity includes longitudinal sensitivity and transverse sensitivity; The longitudinal sensitivity and the transverse sensitivity of the dynamic voltage restorer installed at each node are sorted respectively to obtain a first sorting order and a second sorting order; according to the first sorting order and the second sorting order, a final installation position of the dynamic voltage restorer is determined; The longitudinal sensitivity and the transverse sensitivity of each node where the active power filter is installed are sorted respectively to obtain a third sorting order and a fourth sorting order; according to the third sorting order and the fourth sorting order, a final installation position of the active power filter is determined; With the goal of minimizing the sum of the investment costs of the dynamic voltage restorer and the active power filter, a capacity configuration model of the dynamic voltage restorer and the active power filter is constructed. The constraints for constructing the capacity configuration model of dynamic voltage restorer and active power filter; Under the constraint conditions of the capacity configuration model of the dynamic voltage restorer and the active power filter, the capacity configuration model of the dynamic voltage restorer and the active power filter is solved to generate the capacity configuration of the dynamic voltage restorer and the active power filter when the sum of the investment costs of the dynamic voltage restorer and the active power filter is minimized; According to the site selection of the dynamic voltage restorer and the active power filter and the capacity configuration of the dynamic voltage restorer and the active power filter, the dynamic voltage restorer and the active power filter are connected to the distribution network, and then the power quality of the distribution network is regulated.

2. A method for controlling the power quality of a distribution network as claimed in claim 1, characterized in that: Obtain the longitudinal sensitivity and transverse sensitivity of the dynamic voltage restorer installed at each node in the distribution network, including: When the dynamic voltage restorer is not installed, the voltage deviation rate of each node in the distribution network is calculated; A dynamic voltage restorer with a preset capacity is installed on each node in turn, and the voltage deviation rate is calculated respectively to obtain the voltage deviation rate after the dynamic voltage restorer is installed on each node of the distribution network; According to the voltage deviation rate of each node before the dynamic voltage restorer is installed and the voltage deviation rate after the dynamic voltage restorer is installed, the sensitivity coefficient of the dynamic voltage restorer installed at each node is calculated; For each node, the sensitivity coefficient of the node is added to the sensitivity coefficient of the node in a longitudinal relationship with the node to obtain the longitudinal sensitivity of the dynamic voltage restorer installed at the node; The sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a transverse relationship with the node to obtain the transverse sensitivity of the node installed with the dynamic voltage restorer.

3. A method for controlling the power quality of a distribution network as claimed in claim 1, characterized in that: Obtain the longitudinal sensitivity and transverse sensitivity of the active power filter installed at each node in the distribution network, including: When no active power filter is installed, the harmonic voltage distortion rate of each node in the distribution network is calculated; An active power filter of a preset capacity is installed on each node in turn, and the harmonic voltage distortion rate is calculated respectively to obtain the harmonic voltage distortion rate of each node of the distribution network after the active power filter is installed; According to the harmonic voltage distortion rate of each node before the active power filter is installed and the harmonic voltage distortion rate after the active power filter is installed, the sensitivity coefficient of each node after the active power filter is installed is calculated; For each node, the sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a longitudinal relationship with the node to obtain the longitudinal sensitivity of the active power filter installed at the node; The sensitivity coefficient of the node is added to the sensitivity coefficient of the node that is in a transverse relationship with the node to obtain the transverse sensitivity of the active power filter installed at the node.

4. A method for controlling the power quality of a distribution network as claimed in claim 1, characterized in that: The longitudinal sensitivity and the transverse sensitivity of each node for installing the dynamic voltage restorer are sorted respectively to obtain a first sorting order and a second sorting order; and the final installation position of the dynamic voltage restorer is determined according to the first sorting order and the second sorting order, including: The longitudinal sensitivity and the transverse sensitivity of the dynamic voltage restorer installed on each node are sorted in descending order of sensitivity to obtain a first sorting order and a second sorting order; According to the first sorting order, in each longitudinal structure, the first M nodes are selected as the initial node sequence for installing the dynamic voltage restorer; Determine whether there are nodes in a vertical relationship and adjacent to each other in the initial node sequence for installing the dynamic voltage restorer; If there are nodes that are mutually vertically related and adjacent, then all the nodes that are mutually vertically related and adjacent are removed from the initial node sequence where the dynamic voltage restorer is installed, and a first node sequence after an update is generated; and putting all nodes that are vertically related and adjacent to each other into a first set as a set of candidate nodes for installing a dynamic voltage restorer; The nodes in the candidate node set for installing the dynamic voltage restorer are grouped to obtain a plurality of first node groups; wherein the nodes in each first node group are in a vertical relationship with each other and are adjacent; According to the second sorting, a node with the largest lateral sensitivity is selected from each first node group, and added to the node sequence after the first update, so as to obtain a second node sequence after the second update; According to the second node sequence, the final installation position of the dynamic voltage restorer is determined.

5. The method for controlling the power quality of a distribution network according to claim 1, characterized in that: The longitudinal sensitivity and the transverse sensitivity of each node installed with the active power filter are sorted respectively to obtain a third sorting order and a fourth sorting order; according to the third sorting order and the fourth sorting order, the final installation position of the active power filter is determined, including: The longitudinal sensitivity and transverse sensitivity of the active power filter installed at each node are sorted in descending order of sensitivity to obtain a third sorting order and a fourth sorting order. According to the third sorting order, in each longitudinal structure, the first N nodes are selected as the initial node sequence for installing the active power filter; Determine whether there are nodes in a longitudinal relationship and adjacent to each other in the initial node sequence of the active power filter installation; If there are nodes that are mutually vertically related and adjacent, then all the nodes that are mutually vertically related and adjacent are removed from the initial node sequence where the active power filter is installed, and an updated third node sequence is generated; and putting all nodes that are in a vertical relationship and adjacent to each other into a second set as a set of nodes to be selected for installing an active power filter; The nodes in the candidate node set for installing the active power filter are grouped to obtain a plurality of third node groups; wherein the nodes in each third node group are in a vertical relationship and adjacent to each other; According to the fourth sorting, a node with the largest lateral sensitivity is selected from each third node group, and added to the node sequence after the first update, so as to obtain a fourth node sequence after the second update; According to the fourth node sequence, the final installation position of the active power filter is determined.

6. A method for controlling power quality of a distribution network as claimed in claim 1, characterized in that: The capacity configuration model includes: Where C is the objective function; Install capacity for the dynamic voltage restorer at node i; is the installed capacity of active power filter at node j; m is the number of dynamic voltage restorers installed; n is the number of active power filters installed; f(x) is the cost function; T is the basic installation cost of active power filter invested in node i; K i It is the unit capacity cost of active power filter.

7. A method for controlling power quality of a distribution network as claimed in claim 1, characterized in that: The constraints include: Grid power flow safety equation constraints, dynamic voltage restorer power quality compensation maximum compensation constraints, active power filter harmonic compensation maximum compensation constraints, node voltage range constraints and node harmonic voltage distortion rate constraints; The grid power flow security equation constraint is: Among them, P G Active power injected into the generator; Q G is the injected reactive power; P L，i is the active power consumed by the load on node i; Q L，i is the reactive power consumed; V i is the voltage amplitude of node i; V j is the voltage amplitude of node j; G ij is the admittance between node i and node j; B ij is the susceptance between node i and node j; δ ij is the phase difference between node i and node j; The maximum compensation amount constraint of the dynamic voltage restorer power quality compensation is: S DVR，i ≤S MAX，i ; Among them, S MAX，i is the maximum capacity of the i-th dynamic voltage restorer; The maximum compensation amount constraint of the active power filter harmonic compensation is: Among them, S APF，ci is the total harmonic compensation capacity of the ci-th active power filter; k APF，ci A capacity factor is reserved for the ci-th active power filter to ensure that the capacity of the active power filter is sufficient to compensate for the disturbance of the harmonics; is the rated capacity of the ci-th active power filter; The node voltage range constraint is: V min ≤V i ≤V max ; Among them, V i is the voltage of node i; V min is the lower limit of system voltage; V max is the upper limit of system voltage; The node harmonic voltage distortion rate constraint is: ΔTHD i ≤4%; where ΔTHD i is the harmonic voltage distortion rate of node i.

8. A method for controlling power quality of a distribution network as claimed in claim 1, characterized in that: Control the power quality of the distribution network, including: Utilize the reactive power compensation capability of dynamic voltage restorer and active power filter to compensate the voltage of distribution network for reactive power; Determine whether there is any remaining capacity of the active power filter after reactive power compensation; If the active power filter has surplus capacity, the maximum value of the harmonic current that can be compensated is determined based on the surplus capacity, and the harmonics are offset by injecting a current that is equal in magnitude and opposite in direction to the harmonic current.

9. A device for controlling the power quality of a distribution network, characterized in that: include: Data acquisition module, sorting and site selection module, model building module, constraint building module, capacity solving module and control module; The data acquisition module is used to obtain the sensitivity of the dynamic voltage restorer and active power filter installed at each node in the distribution network; wherein the sensitivity includes longitudinal sensitivity and transverse sensitivity; The sorting and site selection module is used to sort the longitudinal sensitivity and transverse sensitivity of each node for installing a dynamic voltage restorer, respectively, to obtain a first sorting order and a second sorting order; determine the final installation position of the dynamic voltage restorer according to the first sorting order and the second sorting order; sort the longitudinal sensitivity and transverse sensitivity of each node for installing an active power filter, respectively, to obtain a third sorting order and a fourth sorting order; determine the final installation position of the active power filter according to the third sorting order and the fourth sorting order; The model building module is used to build a capacity configuration model of the dynamic voltage restorer and the active power filter with the goal of minimizing the sum of the investment costs of the dynamic voltage restorer and the active power filter; The constraint building module is used to build constraint conditions of the dynamic voltage restorer and active power filter capacity configuration model; The capacity solving module is used to solve the capacity configuration model of the dynamic voltage restorer and the active power filter under the constraint conditions of the capacity configuration model of the dynamic voltage restorer and the active power filter, and generate the capacity configuration of the dynamic voltage restorer and the active power filter when the sum of the investment costs of the dynamic voltage restorer and the active power filter is minimized; The control module is used to connect the dynamic voltage restorer and the active power filter to the distribution network according to the site selection of the dynamic voltage restorer and the active power filter and the capacity configuration of the dynamic voltage restorer and the active power filter, and then control the power quality of the distribution network.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can implement the method for controlling the power quality of a distribution network as described in any one of claims 1 to 8.

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