Power distribution network power quality treatment method and device, computer equipment and readable storage medium

Abstract

The invention relates to a power distribution network electric energy quality treatment method, device and equipment and a readable storage medium. Comprising the following steps: calculating the sensitivity of treating a fault node at all nodes through treatment equipment based on a first condition when each node is the fault node, the sensitivity comprising voltage treatment sensitivity and harmonic treatment sensitivity, and the first condition comprising a preset priority and a preset harmonic treatment sensitivity; the fault nodes are governed through mutual cooperation of the local governing equipment, the longitudinal governing equipment and the transverse governing equipment; carrying out similar integration on the sensitivity to obtain a voltage and harmonic suppression sensitivity matrix; determining node installation voltage treatment equipment or harmonic treatment equipment in the voltage and harmonic treatment sensitivity matrix according to the actual fault node position and a second condition; carrying out capacity optimization on the treatment equipment through an intelligent algorithm; and voltage offset and harmonic pollution of the fault node are treated. By adopting the method, a better treatment effect can be obtained, the cost is reduced, and the equipment utilization rate is improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, device, computer equipment and computer-readable storage medium for power quality management in a distribution network. Background Art

[0002] The extensive use of modern power electronic equipment and high-precision instruments has made power users more and more stringent in their requirements for power quality. At the same time, the large-scale investment in distributed power sources and the large-scale use of nonlinear loads in recent years have made power quality problems such as harmonic voltage distortion rate and voltage offset in the power grid increasingly prominent, making the contradiction between the supply and demand of the power system and power users more and more serious.

[0003] Most of the power quality problems in traditional distribution networks are caused by centralized nonlinear loads and impact loads, which are relatively simple to manage. However, the power quality problems faced by new distribution networks today are more complex. On the one hand, a large number of distributed energy sources and high-power load switching make the system's power flow path and power flow distribution more complex, causing power quality problems such as voltage fluctuations and voltage sags in the distribution system. On the other hand, the addition of a large number of distributed power electronic converters and nonlinear loads of various types has brought a large number of harmonic sources to the distribution system. Faced with the characteristics of high model dimension, wide distribution bandwidth, strong randomness and dispersion of power quality problems in today's new distribution network, traditional power quality management strategies and management methods are not suitable for today's complex power quality problems. At present, most studies focus on a single power quality problem such as voltage offset, voltage flicker, harmonics, etc., and discuss the establishment of management models and management strategies based on a single power quality problem. However, only targeting a single power quality problem may lead to poor results for other power quality problems, and the management results cannot solve the power quality problems of the entire distribution network well. Therefore, the research on the governance model and quality methods of power quality problems in new distribution networks has significant economic benefits and engineering practical value. Summary of the invention

[0004] Based on this, it is necessary to provide a distribution network power quality management method, device, computer equipment, computer-readable storage medium and computer program product that can achieve better management effects while reducing costs and improving equipment utilization in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for managing power quality in a distribution network, the method comprising:

[0006] Based on the first condition, when each node is a faulty node, the sensitivity of managing the faulty node through the management device at all nodes is calculated, the sensitivity including voltage management sensitivity and harmonic management sensitivity, and the first condition includes managing the faulty node through the local management device, the vertical management device and the horizontal management device in coordination with each other at a preset priority;

[0007] The sensitivities are integrated in the same manner to obtain a voltage control sensitivity matrix and a harmonic control sensitivity matrix;

[0008] According to the actual fault node location and the second condition, determine the node to install voltage control equipment or harmonic control equipment in the voltage control sensitivity matrix and the harmonic control sensitivity matrix;

[0009] Optimizing the capacity of the governance equipment through intelligent algorithms;

[0010] Based on the first condition and the management device after capacity optimization, the voltage deviation and harmonic pollution of the faulty node are managed.

[0011] In one embodiment, the managing the faulty node with a preset priority through the local management device, the vertical management device and the horizontal management device in collaboration with each other includes:

[0012] Managing the faulty node with a local management device;

[0013] In the case where the local management device cannot manage the faulty node, the first management device assists in managing the faulty node, wherein the first management device includes a management device on a nearby upper node that is in a vertical relationship with the faulty node;

[0014] In the case where the first management device cannot completely manage the faulty node, a second management device is used to assist in management; the second management device includes a management device on a node at the same level as the faulty node that is connected to the same upper node;

[0015] When the faulty node cannot be completely managed by the local management device, the first management device and the second management device, the third management device, the fourth management device and the fifth management device are used step by step to assist in the management of the faulty node; the third management device includes a management device on an upper node that has a vertical relationship with the faulty node and has a higher priority than the node where the first management device is located; the fourth management device includes a management device on a peer node that is connected to the same peer node as the node where the third management device is located; the fifth management device includes a management device on an upper node that has a vertical relationship with the nodes where the third and fourth management devices are located and has a higher priority than the node where the third management device is located, and corresponding peer management devices.

[0016] In one of the embodiments, determining the node to install voltage management equipment or harmonic management equipment in the voltage management sensitivity matrix and the harmonic management sensitivity matrix according to the actual fault node location and the second condition includes:

[0017] When there is a fault node in the distribution network, according to the location of the actual fault point and the corresponding columns in the voltage control sensitivity matrix and the harmonic control sensitivity matrix, a node is selected to install a voltage control device or a harmonic control device in combination with the second condition; the corresponding column represents the column of sensitivity of controlling the actual fault point through the control device at all nodes;

[0018] When there are at least two faulty nodes in the distribution network, summing the columns where each of the faulty nodes is located; the summing includes adding the sensitivity of managing the faulty nodes through the same node in each column to obtain a first sensitivity array;

[0019] According to the actual fault node location, in the first sensitivity array and in combination with the second condition, a node is selected to install a voltage control device or a harmonic control device; the second condition includes selecting a preset number of nodes in order from large to small based on the sensitivity.

[0020] In one embodiment, the calculating, based on the first condition, the sensitivity of managing each node as a faulty node by a management device at all nodes includes:

[0021] Obtaining a power equation of the distribution network based on the number of nodes, the number of PQ nodes, the number of balancing nodes, and the number of PV nodes in the distribution network;

[0022] Linearizing the power equation to obtain a modified equation;

[0023] Solving a submatrix of a Jacobian matrix based on the correction equation, and obtaining reactive sensitivity based on the solved submatrix of the Jacobian matrix;

[0024] The voltage management sensitivity of the horizontal and vertical nodes of each node is obtained through power flow calculation and the reactive sensitivity;

[0025] The sensitivity is integrated in the same manner to obtain a voltage management sensitivity matrix, including:

[0026] Substitute the voltage management sensitivity of the horizontal and vertical nodes of each node into the first target matrix to obtain a voltage management sensitivity matrix, wherein each element in the voltage management sensitivity matrix is ​​used to characterize the voltage management sensitivity of the horizontal and vertical nodes corresponding to each node.

[0027] In one embodiment, the calculating, based on the first condition, the sensitivity of managing each node as a faulty node by a management device at all nodes includes:

[0028] Based on the hth order dominant harmonic, the sensitivity of the harmonic voltage of any controlled node to the harmonic control conductivity at the horizontal and vertical nodes is defined, where the node connected to the control equipment in the distribution network is the control node, and the other nodes are the controlled nodes;

[0029] Based on the relationship between the voltage of each node and the conductance of the control node, the conductivity sensitivity of harmonic control is solved by taking the optimal output harmonic current obtained by global optimization as a reference;

[0030] The generation method of the harmonic control sensitivity matrix includes:

[0031] Based on the harmonic control conductivity sensitivity and the relationship between each node voltage and the control node conductivity, an equivalent harmonic control sensitivity matrix of all controlled node harmonic voltages to the control node is obtained.

[0032] In one embodiment, the capacity optimization of the management device by using an intelligent algorithm includes:

[0033] A node importance weight coefficient is obtained based on the node sensitivity factor ratio, and the node importance weight coefficient is used to characterize the node's requirement degree for voltage distortion and voltage offset;

[0034] Based on the node importance weight coefficient, the total voltage distortion rate of each node is weighted and summed, and the minimum value of the weighted sum of the total voltage distortion rate of each node is used as the global optimization objective function;

[0035] Constraints are obtained based on the fact that the maximum compensation amount of the harmonic control equipment during the harmonic compensation process cannot exceed the capacity limit, and the maximum compensation amount of the voltage control equipment during the reactive power compensation process cannot exceed the capacity limit;

[0036] The global optimization objective function is solved based on the constraint conditions to achieve capacity optimization of the management equipment.

[0037] In one embodiment, the optimizing the capacity of the management device by using an intelligent algorithm further includes:

[0038] The global optimization objective function is solved based on the constraint conditions by using an improved genetic algorithm to achieve capacity optimization of the management equipment.

[0039] In a second aspect, the present application also provides a power quality management device for a distribution network, the device comprising:

[0040] A sensitivity calculation module, configured to calculate, based on a first condition, the sensitivity of each node to be governed by a governance device at all nodes when the node is a faulty node, wherein the sensitivity includes voltage governance sensitivity and harmonic governance sensitivity, and the first condition includes governing the faulty node by a local governance device, a vertical governance device, and a horizontal governance device in coordination with each other at a preset priority;

[0041] A similar integration module is used to perform similar integration on the sensitivities to obtain a voltage management sensitivity matrix and a harmonic management sensitivity matrix;

[0042] A control device determination module, used for determining, in the voltage control sensitivity matrix and the harmonic control sensitivity matrix, whether to install a voltage control device or a harmonic control device at a node according to the actual fault node location and the second condition;

[0043] A capacity optimization module, used for optimizing the capacity of the management equipment through an intelligent algorithm;

[0044] A governance module is used to govern the voltage deviation and harmonic pollution of the fault node based on the first condition and the governance device after capacity optimization.

[0045] In a third aspect, the present application further provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method in any one of the above-mentioned embodiments when executing the computer program.

[0046] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method in any one of the above-mentioned embodiments.

[0047] The above-mentioned power quality management method, device, computer equipment and computer-readable storage medium of the distribution network calculate the sensitivity of each node to manage the faulty node through the management equipment at all nodes based on the first condition when each node is a faulty node, and the sensitivity includes voltage management sensitivity and harmonic management sensitivity. The first condition includes managing the faulty node with a preset priority through local management equipment, vertical management equipment and horizontal management equipment in a coordinated manner; integrating the sensitivities in the same category to obtain a voltage management sensitivity matrix and a harmonic management sensitivity matrix; and calculating the voltage management sensitivity matrix according to the actual faulty node location and the second condition in the voltage management sensitivity matrix. In the array and harmonic governance sensitivity matrix, determine the node to install voltage governance equipment or harmonic governance equipment; optimize the capacity of the governance equipment through an intelligent algorithm; based on the first condition and the governance equipment after capacity optimization, govern the voltage offset and harmonic pollution of the faulty node. In this way, the horizontal and vertical structures of the complex distribution network are considered, and the research is mainly aimed at the radial distribution network, which is composed of voltage governance equipment and harmonic governance equipment. A horizontal and vertical comprehensive governance mode is adopted, with vertical governance as the main and horizontal governance as the auxiliary governance mode, so that the power quality pollution of the distribution network can be better governed, while reducing costs and improving equipment utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0049] Figure 1 This is a schematic diagram of the decentralized governance model in traditional technology;

[0050] Figure 2 This is a schematic diagram of the centralized governance model in traditional technology;

[0051] Figure 3 This is a schematic diagram of the distributed governance model in traditional technology;

[0052] Figure 4 A schematic diagram of a flow chart of a method for managing power quality in a distribution network in one embodiment;

[0053] Figure 5 is a schematic diagram of a distribution network structure in one embodiment;

[0054] Figure 6 A schematic diagram of the comparison results of the voltage deviation rate of each node before and after treatment in an embodiment;

[0055] Figure 7It is a structural block diagram of a power quality management device for a distribution network in one embodiment;

[0056] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0058] Combination Figure 1 As shown, Figure 1 This is a schematic diagram of a decentralized governance model. This governance model is to carry out targeted governance on nodes with power quality problems. Specific governance equipment is installed on the nodes, which is a point-to-point governance model. Decentralized governance is to configure specific governance equipment in a decentralized manner in the distribution network, and then complete targeted governance of several important load nodes or nodes with relatively serious power quality problems, with a greater focus on local governance. In terms of communication, since decentralized governance only needs to govern a certain node, there is generally no communication between the various governance devices, and there is no central controller to regulate them. It only needs to be controlled by a control algorithm based on the information and parameters related to the connected nodes and feeders. This governance model does not require additional control, does not require communication, and is relatively simple to maintain. It can effectively govern a node with a large power quality problem.

[0059] The centralized governance model is shown below: Figure 2 As shown in the figure, this governance mode is for the entire distribution network of feeders of different levels. By installing governance equipment on the upper-level voltage feeder, the power quality problems of the branch nodes of the lower-level lines below this node can be governed, focusing on unified governance. The centralized governance mode can centrally manage some minor power quality pollution, saving governance costs. In terms of communication, the centralized governance mode only requires a centralized controller. This governance mode has a wide coverage and can use fewer governance equipment to manage power quality problems in a larger range of nodes in the distribution network.

[0060] The schematic diagram of the distributed governance model is as follows Figure 3As shown. The distributed governance model is currently a popular governance model. By distributing governance devices in the distribution network, each governance device has a certain governance scope, and the governance devices work together in a collaborative manner to achieve governance of the entire network. At the same time, each governance device can be uniformly controlled by a unified central controller, forming a centralized control-distributed governance structure. Compared with decentralized governance and centralized governance, the control scope of distributed governance is more extensive in terms of region, and is more suitable for decentralized and full-network power quality governance issues in modern distribution networks.

[0061] In order to solve the problems of the above governance models, such as Figure 4 As shown, a method for managing power quality in a distribution network is provided, comprising the following steps 402 to 410. Among them:

[0062] S402: Based on the first condition, when each node is a faulty node, the sensitivity of managing the faulty node through management devices at all nodes is calculated. The sensitivity includes voltage management sensitivity and harmonic management sensitivity. The first condition includes managing the faulty node with a preset priority through local management devices, vertical management devices and horizontal management devices in coordination with each other.

[0063] In one of the optional embodiments, the local governance device, the vertical governance device and the horizontal governance device cooperate with each other to govern the faulty node with a preset priority, including: governing the faulty node with a local governance device; when the faulty node cannot be governed by the local governance device, assisting in the governance of the faulty node with a first governance device, the first governance device includes a governance device on a nearest superior node that has a vertical relationship with the faulty node; when the faulty node cannot be completely governed by the first governance device, assisting in the governance with a second governance device; the second governance device includes a governance device on a node at the same level that is connected to the same superior node as the faulty node. Optionally, when the faulty node cannot be completely managed by the local management device, the first management device and the second management device, the third management device, the fourth management device and the fifth management device are used step by step to assist in the management of the faulty node; the third management device includes a management device on an upper node that has a vertical relationship with the faulty node and has a higher priority than the node where the first management device is located; the fourth management device includes a management device on a peer node that is connected to the same peer node as the node where the third management device is located; the fifth management device includes a management device on an upper node that has a vertical relationship with the nodes where the third and fourth management devices are located and has a higher priority than the node where the third management device is located, and corresponding peer management devices.

[0064] Specifically, managing the faulty node through local, vertical and horizontal management devices in collaboration with each other at a preset priority includes: giving priority to managing the faulty node with the local management device; if the faulty node cannot be completely managed through the local management device, the first management device assists in management; the first device includes a management device on the nearest superior node that has a vertical relationship with the faulty node; if the faulty node still cannot be completely managed through the first management device, the second management device assists in management; the second device includes a management device on a node at the same level that is connected to the same superior node as the faulty node.

[0065] Optionally, managing the faulty node through local, vertical and horizontal management devices coordinating with each other at a preset priority also includes: if the local device, the first management device and the second management device are unable to completely manage the faulty node, then the third management device, the fourth management device and the fifth management device are used step by step to assist in the management of the faulty node; the third management device includes a management device on an upper node that has a vertical relationship with the faulty node and is higher than the node where the first management device is located; the fourth management device includes a management device on a peer node that is connected to the same peer node as the node where the third management device is located; the fifth management device includes a management device on an upper node that has a vertical relationship with the node where the third and fourth management devices are located and is higher than the node where the third management device is located, and corresponding peer management devices.

[0066] Among them, the sensitivity may include voltage control sensitivity and harmonic control sensitivity. In the present application, the voltage control sensitivity and the harmonic control sensitivity may be calculated separately, and details may be referred to below.

[0067] S404: Integrate the sensitivities in the same category to obtain a voltage control sensitivity matrix and a harmonic control sensitivity matrix.

[0068] Among them, since the sensitivity may include voltage control sensitivity and harmonic control sensitivity, the sensitivity matrix includes a voltage control sensitivity matrix and a harmonic control sensitivity matrix.

[0069] After the sensitivity is determined, the sensitivity matrix can be generated respectively. Specifically, the voltage management sensitivity of the horizontal and vertical nodes of each node is substituted into the first target matrix to obtain the voltage management sensitivity matrix, wherein each element in the voltage management sensitivity matrix is ​​used to characterize the voltage management sensitivity of the horizontal and vertical nodes corresponding to each node.

[0070] Based on the harmonic control conductivity sensitivity and the relationship between each node voltage and the control node conductance, the equivalent harmonic control sensitivity matrix of all controlled node harmonic voltages to the control node is obtained.

[0071] S406: Determine whether to install voltage control equipment or harmonic control equipment on the node in the voltage control sensitivity matrix and the harmonic control sensitivity matrix according to the actual fault node location and the second condition.

[0072] In one of the optional embodiments, determining the node to install voltage management equipment or harmonic management equipment in the voltage management sensitivity matrix and the harmonic management sensitivity matrix according to the actual fault node location and the second condition includes: when there is a fault node in the distribution network, selecting the node to install voltage management equipment or harmonic management equipment in the corresponding column in the voltage management sensitivity matrix and the harmonic management sensitivity matrix according to the actual fault point location in combination with the second condition; the corresponding column represents the column of sensitivity of the actual fault point to be managed by the management equipment at all nodes; when there are at least two fault nodes in the distribution network, summing the columns where each fault node is located; the summing includes adding the sensitivity of the fault node to be managed by the same node in each column to obtain a first sensitivity array; selecting the node to install voltage management equipment or harmonic management equipment in the first sensitivity array according to the actual fault node location in combination with the second condition; the second condition includes selecting a preset number of nodes based on the order of sensitivity from large to small.

[0073] Among them, when there is a fault point in the distribution network, the corresponding column in the matrix is ​​selected according to the position of the actual fault point in combination with the second condition to install the voltage control equipment or the harmonic control equipment; the corresponding column represents the column of the sensitivity of the actual fault point to be controlled by the control equipment at all nodes; when there are at least two fault points in the distribution network, the column where each fault point is located is summed; the summation includes adding the sensitivity of the fault point to be controlled by the same node in each column to obtain a first sensitivity array; according to the actual fault point position, the node is selected in the first sensitivity array in combination with the second condition to install the voltage control equipment or the harmonic control equipment; the second condition includes selecting a preset number of nodes with larger sensitivity.

[0074] S408: Optimize the capacity of the management equipment through intelligent algorithms.

[0075] In one of the optional embodiments, the capacity of the management equipment is optimized through an intelligent algorithm, including: obtaining a node importance weight coefficient based on the proportion of the node sensitivity factor, the node importance weight coefficient is used to characterize the node's requirement for voltage distortion and voltage offset; based on the node importance weight coefficient, weighted summing the total voltage distortion rate of each node, and taking the minimum value of the weighted sum of the total voltage distortion rate of each node as the global optimization objective function; obtaining constraints based on the maximum compensation amount of the harmonic management equipment during the harmonic compensation process cannot exceed the capacity limit, and the maximum compensation amount of the voltage management equipment during the reactive compensation process cannot exceed the capacity limit; solving the global optimization objective function based on the constraints to achieve capacity optimization of the management equipment.

[0076] Specifically construct the optimization model, including: assuming that the importance weight coefficient c of each node n , d n Respectively represent the node's requirements for voltage distortion and voltage offset; define the node importance weight coefficient by the node sensitivity factor ratio:

[0077]

[0078] Among them, c i and d i Represents the importance weight coefficient of node i, α i represents the voltage distortion sensitivity factor of the node i load, β i represents the load voltage deviation sensitivity factor of node i; α i and β i It can be set and adjusted according to actual needs; N is the total number of system nodes;

[0079] Based on the node importance weight coefficient, the total voltage distortion rate of each node is weighted and summed, and its minimum value is taken as the global optimization objective function:

[0080]

[0081] Where f represents the sum of the voltage total distortion rate and the voltage offset rate; min represents the minimum value; THD i Represents the total voltage distortion rate of node i; I V,i Indicates the voltage deviation rate;

[0082] Total voltage distortion THD i It can be expressed by the following relationship:

[0083]

[0084] Among them, U 1,j represents the effective value of the fundamental voltage at node j; U h,j It represents the effective value of the h-th harmonic voltage at the j-node, which can be obtained by calculating the h-th harmonic power flow;

[0085] Voltage deviation rate I V,i It can be expressed by the following relationship:

[0086]

[0087] Among them, I V,i It represents the average value of the deviation rate between the voltage amplitude of the first node of the distribution network and the voltage amplitude of the selected i-node; N represents the total number of nodes in the power grid; V iIt represents the voltage amplitude of the i-th node selected in the distribution network; V0 represents the voltage amplitude of the first node in the distribution network.

[0088] The constraints of the optimization model include:

[0089] For harmonic control equipment: The maximum compensation amount of the harmonic control equipment during the harmonic compensation process cannot exceed the capacity limit. The constraint can be expressed by the following relationship:

[0090]

[0091] Among them, S I,ci represents the total harmonic compensation capacity of the ci-th harmonic control equipment; k APF,ci Indicates the reserved capacity coefficient of the cith harmonic control equipment to ensure that the capacity of the harmonic control equipment is sufficient to compensate for the disturbance of the harmonics; Indicates the rated capacity of the cith harmonic control device;

[0092] The actual compensation capacity of the harmonic control equipment can be calculated by the following relationship:

[0093]

[0094] Among them, G h,ci Indicates the hth harmonic current value of the harmonic control equipment; U h,ci Indicates the hth harmonic voltage of the management equipment node;

[0095] For voltage management equipment: During the reactive power compensation process of voltage management equipment, its maximum compensation amount cannot exceed the capacity limit. The constraint can be expressed by the following relationship:

[0096]

[0097] Among them, S U,ci Indicates reactive power compensation of the ci-th voltage management equipment; k U,ci Indicates the reserved capacity factor of the ci-th voltage management equipment to ensure that the capacity of the voltage management equipment is sufficient to compensate for the disturbance of harmonics; Indicates the rated capacity of the ci-th voltage management device.

[0098] In one of the optional embodiments, the capacity of the management device is optimized by an intelligent algorithm, and further includes: solving a global optimization objective function based on constraint conditions by an improved genetic algorithm to achieve capacity optimization of the management device.

[0099] In this embodiment, the optimization model is solved by an improved genetic algorithm, and the harmonic current compensation and reactive power compensation values ​​of all harmonic control equipment and voltage control equipment are uniformly regulated; including:

[0100] A1. Initialize management equipment parameters;

[0101] A2. Calculate the voltage deviation rate I of the node where the non-control equipment is installed V ;

[0102] A3. Judgment I V Is it less than or equal to the maximum limit of the voltage deviation rate? If so, proceed to A4; if not, optimize the reactive power output by the voltage management equipment through an improved genetic algorithm and proceed to A2;

[0103] A4. Calculate the subharmonic voltage and voltage harmonic distortion rate THD at the node where the non-control equipment is installed v ;

[0104] A5. Determine THD v Is it less than the maximum limit of voltage harmonic distortion rate? If so, proceed to A6; if not, optimize the harmonic current output by the harmonic control equipment through an improved genetic algorithm and proceed to A4;

[0105] A6. Unify the control of each harmonic current compensation and reactive power compensation value to complete the capacity adjustment of the treatment equipment.

[0106] S410: Based on the first condition and the management device after capacity optimization, the voltage deviation and harmonic pollution of the faulty node are managed.

[0107] In this way, a power quality control method for distribution network aimed at voltage deviation and harmonic pollution is provided, wherein the control equipment is composed of voltage control equipment and harmonic control equipment, and the faulty nodes are controlled by local, vertical and horizontal control equipment in coordination with each other with preset priority, and the horizontal and vertical structures of complex distribution networks are taken into consideration, and the method is suitable for complex new distribution networks with strong randomness and dispersion, so that the power quality pollution control effect of the method on the new distribution network is better than that of the prior art, while reducing the equipment cost and improving the equipment utilization rate; by selecting the first preset number of nodes with greater sensitivity in the corresponding matrix to install voltage control equipment or harmonic control equipment, effective control of faulty nodes is given priority, and the installation position and installation capacity of the control equipment are reasonably estimated for the harmonic sources and heavy loads of the faulty nodes in the distribution network, thereby ensuring that all nodes in the distribution network are not affected by these faults and meeting the power quality requirements of each node.

[0108] The above-mentioned power quality management method of the distribution network calculates the sensitivity of each node as a fault node based on the first condition, and the sensitivity includes voltage management sensitivity and harmonic management sensitivity through management equipment at all nodes. The first condition includes managing the fault node with preset priority through local management equipment, vertical management equipment and horizontal management equipment in coordination with each other; integrating the sensitivity in the same category to obtain a voltage management sensitivity matrix and a harmonic management sensitivity matrix; according to the actual fault node location and the second condition, determine the node to install voltage management equipment or harmonic management equipment in the voltage management sensitivity matrix and the harmonic management sensitivity matrix; optimize the capacity of the management equipment through an intelligent algorithm; based on the first condition and the management equipment after capacity optimization, the voltage deviation and harmonic pollution of the fault node are managed. In this way, the horizontal and vertical structure of the complex distribution network is considered, and it is mainly studied for the radial distribution network, which is composed of voltage management equipment and harmonic management equipment. A horizontal and vertical comprehensive management mode is adopted, and a management mode with vertical management as the main and horizontal management as the auxiliary is adopted, so that the power quality pollution of the distribution network can be better managed, while reducing costs and improving equipment utilization.

[0109] In one of the optional embodiments, based on the first condition, the sensitivity of managing the faulty node through management equipment at all nodes when each node is a faulty node is calculated, including: obtaining the power equation of the distribution network based on the number of nodes in the distribution network, the number of PQ nodes, the number of balancing nodes and the number of PV nodes; linearizing the power equation to obtain a corrected equation; solving a submatrix of the Jacobian matrix based on the corrected equation, and obtaining reactive sensitivity based on the solved submatrix of the Jacobian matrix; obtaining the voltage management sensitivity of the horizontal and vertical nodes of each node through flow calculation and reactive sensitivity; integrating the sensitivities in the same manner to obtain a voltage management sensitivity matrix, including: substituting the voltage management sensitivity of the horizontal and vertical nodes of each node into the first target matrix to obtain a voltage management sensitivity matrix, wherein each element in the voltage management sensitivity matrix is ​​used to characterize the voltage management sensitivity of the horizontal and vertical nodes corresponding to each node.

[0110] Calculating voltage management sensitivity mainly includes the following steps:

[0111] In the power system, assuming that the system has n nodes, including m PQ nodes, 1 balance node, and nm-1 PV nodes, the power equation in the polar coordinate form of the system can be expressed as follows:

[0112]

[0113] Among them, P i , Q i Respectively represent the active power and reactive power injected into node i; V i 、Vj Represent the voltage amplitude of node i and node j respectively; G ij , B ij Represent the admittance and susceptance values ​​of node i and node j respectively; δ ij represents the phase angle between node i and node j;

[0114] Linearizing the power equation, the corrected equation can be expressed by the following relationship:

[0115]

[0116] Among them, ΔP and ΔQ are the changes of active power and reactive power injected into the node respectively; ΔV and Δδ are the amplitude ratio ΔV / V and phase difference of node voltage respectively; H, M, N, and L are sub-matrices of Jacobian matrix;

[0117] From the modified equation, we can see that the partial derivative of reactive power with respect to voltage amplitude difference can be obtained by solving the submatrix L ij get:

[0118] When i≠j:

[0119]

[0120] When i=j:

[0121]

[0122] Among them, V i 、V j Represent the voltage amplitude of node i and node j respectively; G ij , B ij Represent the admittance and susceptance values ​​of node i and node j respectively; B ii represents the self-susceptance of node i;

[0123] According to L when i≠j or i=j ij Obtain reactive power sensitivity σ ij :

[0124]

[0125] Among them, Q j represents the reactive power of node j;

[0126] The voltage management sensitivity of each horizontal and vertical node is obtained through power flow calculation and reactive power sensitivity.

[0127] In addition, the same type of sensitivity integration includes: integrating the voltage management sensitivity, that is, substituting the voltage management sensitivity of each node horizontally and vertically into the matrix N GN,Q, we get the voltage management sensitivity matrix. Assuming there are n nodes in the system network, then N GN,Q It can be expressed by the following relationship:

[0128]

[0129] Among them, σ GNi,j Represents the voltage management sensitivity of node j corresponding to horizontal and vertical node i.

[0130] In one of the optional embodiments, based on the first condition, the sensitivity of each node to the fault node being governed by the governance equipment at all nodes is calculated, including: based on the hth dominant harmonic, defining the harmonic voltage sensitivity of any controlled node to the harmonic governance conductivity at the horizontal and vertical nodes, wherein the nodes connected to the governance equipment in the distribution network are control nodes, and the other nodes are controlled nodes; based on the relationship between the voltage of each node and the conductivity of the control node, taking the optimal output harmonic currents obtained by global optimization as the reference, solving to obtain the harmonic governance conductivity sensitivity; the generation method of the harmonic governance sensitivity matrix includes: based on the harmonic governance conductivity sensitivity and the relationship between the voltage of each node and the conductivity of the control node, obtaining the equivalent harmonic governance sensitivity matrix of the harmonic voltages of all controlled nodes to the control node.

[0131] Calculating the harmonic control sensitivity includes: assuming that the nodes connected to the control equipment in the power system are control nodes, and other nodes are controlled nodes;

[0132] For the hth order dominant harmonic, first define the sensitivity w of the harmonic voltage of any controlled node j to the harmonic control conductance at each horizontal and vertical control node ci h,j,ci :

[0133]

[0134] Among them, U h,j represents the hth harmonic voltage of the controlled node j; G h,ci represents the harmonic current emitted by the control node ci; w h,j,ci Indicates the degree of change of the harmonic current of the control node ci on the harmonic voltage of the controlled node j;

[0135] Sensitivity h,j,ci It can be derived from the harmonic propagation equation, and the harmonic power flow equation constraint is satisfied:

[0136]

[0137] Among them, U h ,I h They represent the node harmonic voltage and node injected harmonic current column vectors respectively; Y hrepresents the harmonic admittance matrix determined by the system network parameters;

[0138] Control node equivalent harmonic current G i Exists in I h,i Among the elements, U h Expanded:

[0139]

[0140] Among them, the G of the control node i It represents the equivalent current output by the harmonic control equipment connected to node i, and G of the controlled node i =0;I h,i represents the self-admittance of node i minus G i The latter part;

[0141] G h,i is the predicted quantity, Y h is the network parameter constant, U h,i Because of G i The dependent variable determined by U, so the relationship between each node voltage and the control node conductance can be expressed as h The expanded expression is: Taking the optimal output harmonic current obtained by global optimization as the benchmark, U h For G i The sensitivity of h,j,ci The value of .

[0142] In this way, the sensitivity integration also includes: integrating the harmonic control sensitivity, that is, assuming that there are n nodes in the power system, according to the sensitivity w h,j,ci and U h The expansion can obtain the sensitivity matrix S of all controlled node harmonic voltages to the equivalent harmonic control of the control node: U-G :

[0143]

[0144] Among them, w h,j,ci It represents the harmonic control sensitivity of node j corresponding to horizontal and vertical node i.

[0145] For ease of understanding, in the preferred embodiment of the present application, a radial distribution network structure with 20 nodes is used as a reference model to verify the effectiveness of the present application scheme. Matlab software is used for simulation verification. For specific distribution network structure, see Figure 5 , Figure 5The numbers 1 to 20 represent the node numbers. In order to adapt to the analysis of the preferred embodiments of the present application, the node parameters are set on the basis of the standard system. See Table 1 for specific line parameters. The load reactive power of some nodes is adjusted to characterize the access of heavy loads, and the selected heavy load access points are 3, 6, 9, 13, 16, and 20. A harmonic source is set for each node, in which a larger harmonic source is set for the node to represent the harmonic fault point. The harmonic current injected into each node takes 2% to 10% of its fundamental current and is randomly selected within this range. The genetic optimization algorithm sets the initial mutation probability to 0.1, the crossover probability to 0.8, the inversion probability to 0.2, the population size to 100, and the number of iterations to 200.

[0146] Table 1 Line parameters

[0147]

[0148]

[0149] Assuming that there are three management devices for the distribution network management, according to the reactive power sensitivity and voltage management sensitivity matrix, as well as the voltage management equipment layout strategy, the voltage offset management can be obtained at nodes 8, 13, and 15. The capacity parameters of the optimal configuration of voltage management equipment are shown in Table 2. For voltage sensitive loads, the sensitivity factors of the nodes are set to 3, 13, and 15 respectively, and the other nodes are all 1.

[0150] Table 2 Reactive capacity parameters of each voltage management equipment

[0151] Node 8 equipment capacity / kw Node 13 equipment capacity / kw Node 15 equipment capacity / kw 750 800 1000

[0152] The reactive power compensation value of the voltage management equipment connected in parallel is taken as the optimization variable. The optimal reactive power compensation value of the voltage management equipment is solved by power flow calculation combined with genetic algorithm according to the established global optimization model. The global optimization results of the voltage management equipment at each control node are shown in Table 3.

[0153] Table 3 Actual compensation reactive power value of voltage management equipment

[0154] Node 8 compensation capacity / kw Node 13 compensation capacity / kw Node 15 compensation capacity / kw 737 790 797

[0155] The sum of the voltage deviation rates of all nodes in the entire network is used as the power quality comparison index. The comparison results of the voltage deviation rates of each node before and after treatment are as follows: Figure 6 As shown in the figure, the voltage offset level of each node before treatment is at a very high level, with the highest offset rate reaching about 18%. After installing treatment equipment at the specified location, the voltage offset rate of each node is lower than before treatment, and is generally maintained at about 6% and 2%. The node voltage offset rate after connecting to the voltage treatment equipment meets the national standard limit of 10%, reaching the qualified level of power quality.

[0156] For nodes 3, 13, and 15 connected to sensitive loads, the voltage distortion of these sensitive nodes has been effectively reduced after the treatment compared to before the treatment. Considering that some nodes are more sensitive to voltage offset and have higher requirements for voltage offset, these nodes are given larger weights in the global optimization objective. Therefore, nodes with larger weights will have lower voltage offsets after optimization.

[0157] At the same time, the horizontal and vertical global optimization management scheme proposed in this application can achieve targeted management of corresponding nodes by setting corresponding importance weights for nodes within the compensation capacity of the voltage management equipment according to the actual power quality requirements of users, which verifies the rationality of the management method proposed in this application.

[0158] In summary, the preferred embodiment of the present application is a method for power quality control of distribution network for voltage deviation and harmonic pollution, the control equipment is composed of voltage control equipment and harmonic control equipment, and the faulty nodes are controlled by local, vertical and horizontal control equipment in coordination with each other according to preset priorities, taking into account the horizontal and vertical structures of complex distribution networks, and is suitable for complex new distribution networks with strong randomness and dispersion, so that the method has better power quality pollution control effect on new distribution networks than the existing technology, while reducing equipment costs and improving equipment utilization; by selecting the first preset number of nodes with greater sensitivity in the corresponding matrix to install voltage control equipment or harmonic control equipment, giving priority to the effective control of faulty nodes, and making reasonable calculations of the installation position and installation capacity of the control equipment for the harmonic sources and heavy loads of the faulty nodes in the distribution network, thereby ensuring that all nodes in the distribution network are not affected by these faults and meeting the power quality requirements of each node.

[0159] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0160] Based on the same inventive concept, the embodiment of the present application also provides a distribution network power quality management device for implementing the above-mentioned distribution network power quality management method. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above-mentioned method, so the specific limitations in one or more distribution network power quality management device embodiments provided below can refer to the above-mentioned limitations on the distribution network power quality management method, and will not be repeated here.

[0161] In an exemplary embodiment, Figure 7 As shown, a power quality management device for a distribution network is provided, including: a sensitivity calculation module 701, a similar integration module 702, a management equipment determination module 703, a capacity optimization module 704 and a management module 705, wherein:

[0162] The sensitivity calculation module 701 is used to calculate the sensitivity of managing the faulty node through the management device at all nodes when each node is a faulty node based on the first condition, the sensitivity includes voltage management sensitivity and harmonic management sensitivity, and the first condition includes managing the faulty node through the local management device, the vertical management device and the horizontal management device in coordination with each other at a preset priority;

[0163] A similar integration module 702 is used to perform similar integration of sensitivities to obtain a voltage control sensitivity matrix and a harmonic control sensitivity matrix;

[0164] A control device determination module 703 is used to determine whether to install a voltage control device or a harmonic control device on a node in the voltage control sensitivity matrix and the harmonic control sensitivity matrix according to the actual fault node location and the second condition;

[0165] Capacity optimization module 704, used to optimize the capacity of the management equipment through intelligent algorithms;

[0166] The management module 705 is used to manage the voltage deviation and harmonic pollution of the faulty node based on the first condition and the management device after capacity optimization.

[0167] In one of the embodiments, the sensitivity calculation module 701 is specifically used to manage the faulty node with a local management device; when the local management device cannot manage the faulty node, the first management device is used to assist in the management of the faulty node, and the first management device includes a management device on a nearby superior node that is in a vertical relationship with the faulty node; when the first management device cannot completely manage the faulty node, the second management device is used to assist in the management; the second management device includes a management device on a peer node connected to the same superior node as the faulty node; when the local management device, the first management device and the second management device cannot completely manage the faulty node, the third management device, the fourth management device and the fifth management device are used step by step to assist in the management of the faulty node; the third management device includes a management device on a peer node that is in a vertical relationship with the faulty node and has a higher priority than the node where the first management device is located; the fourth management device includes a management device on a peer node that is connected to the same superior node as the node where the third management device is located; the fifth management device includes a management device on a peer node that is in a vertical relationship with the nodes where the third and fourth management devices are located and has a higher priority than the node where the third management device is located, and the corresponding peer management devices.

[0168] In one of the embodiments, the above-mentioned management equipment determination module 703 is specifically used to select nodes to install voltage management equipment or harmonic management equipment when there is a fault node in the distribution network according to the corresponding columns in the voltage management sensitivity matrix and the harmonic management sensitivity matrix based on the location of the actual fault point, combined with the second condition; the corresponding column represents the column of sensitivity of the actual fault point to be managed by the management equipment at all nodes; when there are at least two fault nodes in the distribution network, the column where each fault node is located is summed; the summation includes adding the sensitivity of the fault node to be managed by the same node in each column to obtain a first sensitivity array; according to the actual fault node location in the first sensitivity array combined with the second condition, the node is selected to install voltage management equipment or harmonic management equipment; the second condition includes selecting a preset number of nodes based on the order of sensitivity from large to small.

[0169] In one embodiment, the sensitivity calculation module 701 is specifically used to obtain a power equation of the distribution network based on the number of nodes, the number of PQ nodes, the number of balancing nodes, and the number of PV nodes in the distribution network; linearize the power equation to obtain a correction equation; solve a submatrix of the Jacobian matrix based on the correction equation, and obtain reactive sensitivity based on the submatrix of the Jacobian matrix obtained by solving; obtain the voltage management sensitivity of the horizontal and vertical nodes of each node through power flow calculation and reactive sensitivity;

[0170] The above-mentioned similar integration module 702 is specifically used to substitute the voltage management sensitivity of the horizontal and vertical nodes of each node into the first target matrix to obtain the voltage management sensitivity matrix, wherein each element in the voltage management sensitivity matrix is ​​used to characterize the voltage management sensitivity of the horizontal and vertical nodes corresponding to each node.

[0171] In one embodiment, the sensitivity calculation module 701 is specifically used to define the sensitivity of the harmonic voltage of any controlled node to the harmonic control conductivity at the horizontal and vertical nodes based on the h-th dominant harmonic, wherein the node connected to the control device in the distribution network is the control node, and the other nodes are the controlled nodes; based on the relationship between the voltage of each node and the conductivity of the control node, the optimal output harmonic current obtained by global optimization is used as a reference to solve the harmonic control conductivity sensitivity;

[0172] The above-mentioned similar integration module 702 is specifically used to obtain the equivalent harmonic control sensitivity matrix of all controlled node harmonic voltages to the control node based on the harmonic control conductivity sensitivity and the relationship between each node voltage and the control node conductivity.

[0173] In one of the embodiments, the capacity optimization module 704 is specifically used to obtain a node importance weight coefficient based on the ratio of node sensitivity factors, and the node importance weight coefficient is used to characterize the degree of node requirements for voltage distortion and voltage offset; based on the node importance weight coefficient, the total voltage distortion rate of each node is weighted and summed, and the minimum value of the weighted sum of the total voltage distortion rate of each node is used as the global optimization objective function; based on the maximum compensation amount of the harmonic control equipment during the harmonic compensation process cannot exceed the capacity limit, and the maximum compensation amount of the voltage control equipment during the reactive compensation process cannot exceed the capacity limit, a constraint condition is obtained; based on the constraint condition, the global optimization objective function is solved to achieve capacity optimization of the control equipment.

[0174] In one of the embodiments, the capacity optimization module 704 is specifically used to solve the global optimization objective function based on constraint conditions through an improved genetic algorithm to achieve capacity optimization of the governance equipment.

[0175] Each module in the above-mentioned power quality management device for distribution network can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0176] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 8As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for managing the power quality of a distribution network is implemented.

[0177] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0178] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0179] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0180] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0181] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0182] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0183] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for managing power quality in a distribution network. It is characterized in that The method comprises: Based on the first condition, when each node is a faulty node, the sensitivity of managing the faulty node through the management device at all nodes is calculated, the sensitivity including voltage management sensitivity and harmonic management sensitivity, and the first condition includes managing the faulty node through the local management device, the vertical management device and the horizontal management device in coordination with each other at a preset priority; The sensitivities are integrated in the same manner to obtain a voltage control sensitivity matrix and a harmonic control sensitivity matrix; According to the actual fault node location and the second condition, determine the node to install voltage control equipment or harmonic control equipment in the voltage control sensitivity matrix and the harmonic control sensitivity matrix; Optimizing the capacity of the governance equipment through intelligent algorithms; Based on the first condition and the management device after capacity optimization, the voltage deviation and harmonic pollution of the faulty node are managed.

2. The method according to claim 1, It is characterized in that The method of managing the faulty node by cooperating with the local management device, the vertical management device and the horizontal management device according to the preset priority includes: Managing the faulty node with a local management device; In the case where the local management device cannot manage the faulty node, the first management device assists in managing the faulty node, wherein the first management device includes a management device on a nearby upper node that is in a vertical relationship with the faulty node; In the case where the first management device cannot completely manage the faulty node, a second management device is used to assist in management; the second management device includes a management device on a node at the same level as the faulty node that is connected to the same upper node; When the faulty node cannot be completely managed by the local management device, the first management device and the second management device, the third management device, the fourth management device and the fifth management device are used step by step to assist in the management of the faulty node; the third management device includes a management device on an upper node that has a vertical relationship with the faulty node and has a higher priority than the node where the first management device is located; the fourth management device includes a management device on a peer node that is connected to the same peer node as the node where the third management device is located; the fifth management device includes a management device on an upper node that has a vertical relationship with the nodes where the third and fourth management devices are located and has a higher priority than the node where the third management device is located, and corresponding peer management devices.

3. The method according to claim 2, It is characterized in that The step of determining, in the voltage control sensitivity matrix and the harmonic control sensitivity matrix, to install a voltage control device or a harmonic control device on a node according to the actual fault node location and the second condition comprises: When there is a fault node in the distribution network, according to the location of the actual fault point and the corresponding columns in the voltage control sensitivity matrix and the harmonic control sensitivity matrix, a node is selected to install a voltage control device or a harmonic control device in combination with the second condition; the corresponding column represents the column of sensitivity of controlling the actual fault point through the control device at all nodes; When there are at least two faulty nodes in the distribution network, summing the columns where each of the faulty nodes is located; the summing includes adding the sensitivity of managing the faulty nodes through the same node in each column to obtain a first sensitivity array; According to the actual fault node location, in the first sensitivity array and in combination with the second condition, a node is selected to install a voltage control device or a harmonic control device; the second condition includes selecting a preset number of nodes in order from large to small based on the sensitivity.

4. The method according to claim 3, It is characterized in that The calculating, based on the first condition, the sensitivity of managing each node as a faulty node by the management device at all nodes includes: Obtaining a power equation of the distribution network based on the number of nodes, the number of PQ nodes, the number of balancing nodes, and the number of PV nodes in the distribution network; Linearizing the power equation to obtain a modified equation; Solving a submatrix of a Jacobian matrix based on the correction equation, and obtaining reactive sensitivity based on the solved submatrix of the Jacobian matrix; The voltage management sensitivity of the horizontal and vertical nodes of each node is obtained through power flow calculation and the reactive sensitivity; The sensitivity is integrated in the same manner to obtain a voltage management sensitivity matrix, including: Substitute the voltage management sensitivity of the horizontal and vertical nodes of each node into the first target matrix to obtain a voltage management sensitivity matrix, wherein each element in the voltage management sensitivity matrix is ​​used to characterize the voltage management sensitivity of the horizontal and vertical nodes corresponding to each node.

5. The method according to claim 3, It is characterized in that The calculating, based on the first condition, the sensitivity of managing each node as a faulty node by the management device at all nodes includes: Based on the hth order dominant harmonic, the sensitivity of the harmonic voltage of any controlled node to the harmonic control conductivity at the horizontal and vertical nodes is defined, where the node connected to the control equipment in the distribution network is the control node, and the other nodes are the controlled nodes; Based on the relationship between the voltage of each node and the conductance of the control node, the conductivity sensitivity of harmonic control is solved by taking the optimal output harmonic current obtained by global optimization as a reference; The generation method of the harmonic control sensitivity matrix includes: Based on the harmonic control conductivity sensitivity and the relationship between each node voltage and the control node conductivity, an equivalent harmonic control sensitivity matrix of all controlled node harmonic voltages to the control node is obtained.

6. The method according to any one of claims 1 to 5, It is characterized in that The method of optimizing the capacity of the management device by using an intelligent algorithm includes: A node importance weight coefficient is obtained based on the node sensitivity factor ratio, and the node importance weight coefficient is used to characterize the node's requirement degree for voltage distortion and voltage offset; Based on the node importance weight coefficient, the total voltage distortion rate of each node is weighted and summed, and the minimum value of the weighted sum of the total voltage distortion rate of each node is used as the global optimization objective function; Constraints are obtained based on the fact that the maximum compensation amount of the harmonic control equipment during the harmonic compensation process cannot exceed the capacity limit, and the maximum compensation amount of the voltage control equipment during the reactive power compensation process cannot exceed the capacity limit; The global optimization objective function is solved based on the constraint conditions to achieve capacity optimization of the management equipment.

7. The method according to claim 6, It is characterized in that The capacity optimization of the management device by using an intelligent algorithm also includes: The global optimization objective function is solved based on the constraint conditions by using an improved genetic algorithm to achieve capacity optimization of the management equipment.

8. A power quality management device for a distribution network, It is characterized in that The device comprises: A sensitivity calculation module, configured to calculate, based on a first condition, the sensitivity of each node to be governed by a governance device at all nodes when the node is a faulty node, wherein the sensitivity includes voltage governance sensitivity and harmonic governance sensitivity, and the first condition includes governing the faulty node by a local governance device, a vertical governance device, and a horizontal governance device in coordination with each other at a preset priority; A similar integration module is used to perform similar integration on the sensitivities to obtain a voltage management sensitivity matrix and a harmonic management sensitivity matrix; A control device determination module, used for determining, in the voltage control sensitivity matrix and the harmonic control sensitivity matrix, whether to install a voltage control device or a harmonic control device at a node according to the actual fault node location and the second condition; A capacity optimization module, used for optimizing the capacity of the management equipment through an intelligent algorithm; A governance module is used to govern the voltage deviation and harmonic pollution of the fault node based on the first condition and the governance device after capacity optimization.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program. It is characterized in that When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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