Distributed collaborative treatment method and device of power quality treatment device, computer equipment and storage medium

Abstract

The application relates to a distributed collaborative treatment method and device of an electric energy quality treatment device, a computer device and a storage medium. The method comprises the following steps: initializing initial state information of the treatment device; acquiring initial state information of adjacent treatment devices to obtain adjacent state information; determining updated state information based on the initial state information and the adjacent state information; in the case that the updated state information satisfies a constraint condition of the treatment device, continuously updating the updated state information until the compensation capacities of all the treatment devices are consistent and the electric energy quality treatment effect of the power distribution network reaches a global optimum; determining a compensation strategy based on the updated updated state information; and performing electric energy quality treatment on the treatment device according to the compensation strategy. Through the above method, each treatment device can not only treat local electric energy quality problems, but also ensure that the compensation capacity distribution of the entire power distribution network tends to be consistent, the robustness of the treatment system is enhanced, and the effect of the treatment system is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power quality management, in particular to a distributed collaborative treatment method and device of a power quality treatment device, a computer device and a storage medium. BACKGROUND

[0002] With the grid-connected operation of massive distributed power sources, nonlinear loads and impact loads in the distribution network, the power quality pollution problem in the distribution network is becoming more and more serious, which brings severe challenges to power quality treatment. In the traditional distribution network, the power quality pollution has the characteristics of relative concentration, so the point-to-point treatment mode can achieve the purpose of treating the power quality pollution in the whole network. However, in the new distribution network, the pollution sources have the characteristics of high penetration rate and dispersion throughout the network. At this time, the traditional point-to-point treatment mode cannot effectively solve the widespread power quality problems in the whole distribution network, resulting in poor treatment effect. SUMMARY

[0003] Therefore, it is necessary to provide a distributed collaborative treatment method and device of a power quality treatment device capable of improving the treatment effect, a computer device and a storage medium in view of the above technical problems.

[0004] In a first aspect, the present application provides a distributed collaborative treatment method of a power quality treatment device, applied to the treatment of power quality in a distribution network, wherein the distribution network comprises a plurality of treatment devices;

[0005] The method comprises: initializing initial state information of the treatment devices; wherein the initial state information comprises compensation capacity, voltage amplitude, phase angle, active power and reactive power; obtaining the initial state information of adjacent treatment devices to obtain adjacent state information; determining updated state information based on the initial state information and the adjacent state information; in the case that the updated state information meets the treatment device constraint condition, continuing to update the updated state information until the compensation capacities of all the treatment devices are consistent and the power quality treatment effect of the distribution network reaches the global optimum; determining a compensation strategy based on the updated updated state information; and performing power quality treatment on the treatment devices according to the compensation strategy.

[0006] In one of the embodiments, the method further comprises: constructing a communication network topology of the treatment devices; wherein in the communication network topology, two adjacent treatment devices can communicate with each other, and at least one treatment device can communicate with other treatment devices; and performing information interaction between the treatment devices based on the communication network topology.

[0007] In one of the embodiments, the step of determining the updated state information based on the initial state information and the adjacent state information comprises: constructing a compensation capacity consistency algorithm, wherein the compensation capacity consistency algorithm is used to make the compensation capacities of all the governing devices tend to be consistent after iteration; constructing a global cost function, wherein the global cost function is used to indicate the influence degree of the compensation capacity change of the governing device on power quality; determining a target update rule based on the compensation capacity consistency algorithm and the global cost function; inputting the initial state information and the adjacent state information into the target update rule to obtain the updated state information.

[0008] In one of the embodiments, the step of constructing the compensation capacity consistency algorithm comprises: determining the compensation capacity consistency algorithm based on the compensation capacity in the initial state information, the capacity difference between the initial state information and the adjacent state information, and the communication weight between the adjacent governing devices.

[0009] In one of the embodiments, the global cost function comprises at least one of a function of harmonic distortion degree changing with the compensation capacity, a function of voltage deviation changing with the compensation capacity, a function of oscillation condition changing with the compensation capacity, and a function of three-phase unbalance degree changing with the compensation capacity.

[0010] In one of the embodiments, the governing device constraint condition comprises at least one of active power and reactive power balance constraint, active power injection and reactive power injection constraint, governing device capacity constraint, node voltage constraint, node harmonic voltage constraint, and three-phase unbalance degree constraint.

[0011] In a second aspect, the application further provides a distributed collaborative governing device of power quality governing device, which is applied to the governing of power quality in a power distribution network, and the power distribution network comprises a plurality of governing devices.

[0012] The device comprises: an initialization module configured to initialize initial state information of the governing device, wherein the initial state information comprises compensation capacity, voltage amplitude, phase angle, active power and reactive power; an information acquisition module configured to acquire the initial state information of the adjacent governing device to obtain adjacent state information; a state update module configured to determine updated state information based on the initial state information and the adjacent state information; a constraint judgment module configured to continue to update the updated state information until the compensation capacities of all the governing devices are consistent and the power quality governing effect of the power distribution network reaches global optimization, in the case that the updated state information meets governing device constraint condition; a strategy determination module configured to determine a compensation strategy based on the updated updated state information; and a power quality governing module configured to perform power quality governing on the governing device according to the compensation strategy.

[0013] In one embodiment, the device further comprises a communication network construction module for constructing a communication network topology of the governance device; wherein in the communication network topology, two adjacent governance devices can communicate with each other, and at least one of the governance devices can communicate with other governance devices; and a communication control module for information interaction between the governance devices based on the communication network topology.

[0014] In a third aspect, the present application further provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0015] In a fourth aspect, the present application further provides a computer readable storage medium. The computer readable storage medium stores a computer program, and the computer program is executed by a processor to implement the steps of the above method.

[0016] The above distributed collaborative governance method, device, computer device and storage medium of the power quality governance device can obtain initial state information of adjacent governance devices, thereby obtaining adjacent state information, then iteratively update based on the initial state information and the adjacent state information, thereby determining updated state information, and continue to update the updated state information until the compensation capacity of all governance devices is consistent and the power quality governance effect of the power distribution network reaches the global optimum, and finally determine the compensation strategy according to the updated updated state information to perform power quality governance on the governance device. Through the distributed collaborative governance method of the present application, each governance device can not only handle local power quality problems, but also ensure that the compensation capacity of the entire power distribution network tends to be consistent, enhance the robustness of the governance system, improve the effect of the governance system, and reduce the governance cost. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 A flowchart of the distributed collaborative governance method in one embodiment;

[0018] Figure 2 A flowchart of constructing a communication network topology in one embodiment;

[0019] Figure 3 A local communication topology diagram of the governance device in one embodiment;

[0020] Figure 4 A flowchart of obtaining updated state information in one embodiment;

[0021] Figure 5 A flowchart of the distributed collaborative governance method in another embodiment;

[0022] Figure 6 A module schematic diagram of a distributed collaborative governance device in one embodiment;

[0023] Figure 7 A module schematic diagram of a distributed collaborative governance device in another embodiment;

[0024] Figure 8 A schematic diagram of an architecture of a distributed collaborative governance device in one embodiment;

[0025] Figure 9 An internal structure diagram of a computer device in one embodiment. DETAILED DESCRIPTION

[0026] For the purpose of facilitating the understanding of the present application, a more complete appreciation of the present application will be had by reference to the following detailed description and the accompanying drawings, in which the embodiments of the present application are shown. However, the present application can be realized in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.

[0028] As described in the background, the point-to-point governance mode in the prior art has the following problems when governing the new distribution network: first, it cannot effectively solve the widespread power quality problem in the entire distribution network, and the governance effect is limited; second, under the point-to-point governance mode, the governance devices cannot effectively coordinate and share information, which may lead to under-compensation or over-compensation of individual governance devices, thereby causing new stability problems; third, the point-to-point governance mode has poor scalability. This governance mode is usually designed for a single scenario of power quality. When the topology or load of the distribution network changes, the original governance scheme needs to be adjusted; fourth, the cost-effectiveness is low. The point-to-point governance mode usually needs to configure a dedicated power quality governance device for each specific load or equipment, resulting in high equipment maintenance costs. In addition, due to the limited governance effect, additional equipment may be needed to deal with other power quality problems, further increasing costs. Finally, the response speed and adaptability are poor. The response speed and adaptability of the point-to-point governance device are usually poor, especially when facing rapidly changing loads or grid conditions. This approach may not be able to adjust in time, making it difficult to effectively control power quality problems. In addition to the deficiencies in the governance mode, the existing governance devices have single governance functions. In the face of complex distribution network environments, they cannot simultaneously address multiple types of power quality problems, resulting in poor distribution network power quality governance effect.

[0029] Based on the above reasons, the present application provides a distributed collaborative governance method, device, computer equipment and storage medium for power quality governance devices, which can improve the governance effect of the power quality of the distribution network.

[0030] In one embodiment, as shown in Figure 1 A distributed collaborative governance method for power quality governance devices is provided. Taking the method applied to a governance device as an example, the method includes the following steps:

[0031] Step S110, initializing the initial state information of the governance device.

[0032] Specifically, the distribution network includes a plurality of governance devices, which are arranged at each node of the distribution network. When the power quality of the distribution network needs to be governed, the state information of each governance device is first initialized and taken as the initial state information. The initial state information includes compensation capacity, voltage amplitude, phase angle, active power and reactive power. The compensation capacity is the amount of reactive power that the governance device can provide; the voltage amplitude is the voltage size at the access point of the governance device; the phase angle is the phase difference between the voltage and the current, which is used to calculate the power factor; the active power is the actual power consumed or generated by the governance device (usually small); and the reactive power is the reactive power provided or absorbed by the governance device, which is used to improve the power factor of the distribution network.

[0033] Step S120, obtaining initial state information of the adjacent management device to obtain adjacent state information.

[0034] Specifically, after the initialization of the management device is completed, for each management device, it needs to obtain the initial state information of the adjacent other management device through communication and take it as the adjacent state information. This helps to determine the state of each point in the entire power distribution network, thereby comprehensively optimizing.

[0035] Step S130, determining the updated state information based on the initial state information and the adjacent state information.

[0036] Specifically, after the management device determines the adjacent state information, it calculates the new and more optimized state information by combining its own initial state information using a preset algorithm (such as an optimization algorithm or a machine learning algorithm, etc.), and takes it as the updated state information. In the process of determining the updated state information, it may include the steps of adjusting the compensation capacity, voltage amplitude, phase angle, active power and reactive power, etc.

[0037] Step S140, in the case that the updated state information meets the management device constraint condition, continue to update the updated state information until the compensation capacities of all management devices are consistent and the power quality management effect of the power distribution network reaches the global optimum.

[0038] Specifically, after the management device determines the updated state information, it needs to judge whether the adjusted updated state information meets the management device constraint condition (such as maximum / minimum compensation capacity, voltage range, etc.), and in the case that the updated state information does not meet the management device constraint condition, it needs to adjust the updated state information to make it meet the management device constraint condition. In the case that the updated state information meets the management device constraint condition, it also needs to continue to update the updated state information until the compensation capacities of all management devices are consistent and the power quality management effect of the power distribution network reaches the global optimum, thereby obtaining the updated updated state information.

[0039] Step S150, determining the compensation strategy based on the updated updated state information.

[0040] Specifically, after the management device obtains the updated updated state information, it determines the corresponding compensation strategy according to the updated updated state information. The compensation strategy includes when to start or stop compensation, how much reactive power to compensate, etc.

[0041] Step S160, performing power quality management on the management device according to the compensation strategy.

[0042] Specifically, after the management device determines the corresponding compensation strategy, the compensation strategy is applied to the management device to adjust the working state and parameters of the management device in real time, so as to improve the power quality in the power distribution network. It can be understood that for each management device, the above steps need to be performed, so that the compensation capacity of all adjusted management devices is consistent and the power quality management effect of the power distribution network reaches the global optimum.

[0043] The distributed collaborative management method of the power quality management device described above obtains the initial state information of the adjacent management device, thereby obtaining the adjacent state information, then iteratively updates based on the initial state information and the adjacent state information, thereby determining the updated state information, and continues to update the updated state information until the compensation capacity of all management devices is consistent and the power quality management effect of the power distribution network reaches the global optimum, and finally determines the compensation strategy according to the updated updated state information to manage the power quality of the management device. Through the distributed collaborative management method of the present application, each management device can not only handle local power quality problems, but also ensure that the compensation capacity of the entire power distribution network tends to be consistent, enhance the robustness of the management system, improve the effect of the management system, and at the same time reduce the management cost.

[0044] In one embodiment, as shown in Figure 2 The distributed collaborative management method of the power quality management device further comprises:

[0045] Step S210, constructing a communication network topology of the management device;

[0046] Step S220, information interaction between the management devices based on the communication network topology.

[0047] Specifically, since the management device of the present application needs to obtain the state information of the adjacent management device, when performing distributed collaborative management, the communication network topology of the management device needs to be constructed first, and then when communication is needed, information interaction between the management devices is performed based on the constructed communication network topology. In the communication network topology constructed by the present application, two adjacent management devices can communicate with each other, and at least one management device can communicate with other management devices. In this embodiment, local and local communication network can be used for information interaction between the management devices, and each management device only needs to perform information interaction according to the constructed communication network topology, which saves the process of global information interaction, realizes plug and play of the management device, and improves the robustness and economy of the management device.

[0048] In one specific embodiment, the communication network topology can be modeled by a graph structure G=(V, E, A), where V={v1, v2, v3, …, vn}, E={e1, e2, e3, …, en}, and A={a1, a2, a3, …, an}. n, represents a non-empty set of nodes, v i is the i-th node, and the node index is a finite set, N∈{1, 2, …, n}. The edge set E∈V×V is used for the set of edges between nodes, and if nodes i and j can communicate with each other, the communication topology is called an undirected graph. The present application cooperatively allocates the management device based on the undirected graph, and there is no case that the information output by node i is received by itself and there are multiple edges connecting two nodes. is the adjacency matrix of the management device communication network topology, and there is , on the contrary, . Therefore, the Laplacian matrix corresponding to the communication network topology can be expressed as T=K-A, where K is the degree matrix formed by all nodes in the communication network topology. The expression of the Laplacian matrix is:

[0049]

[0050] For each management device, the cooperative control strategy M i of each node can be expressed as:

[0051]

[0052] In the above formula, x i represents the compensation capacity of the i-th management device, is a weight matrix, and the value range is between 0 and 1. B=(b ij ) is a constant matrix, which represents the communication network topology, and its expression is:

[0053]

[0054] In the above formula, for the diagonal elements, there is b ii always takes the value of 1, indicating that each management device can receive its own output information; when the output signal of the j-th management device can be received by the i-th management device, then b ij =1, otherwise, b ij =0, indicating that there is no communication relationship between the j-th management device and the i-th device. In addition, it should be pointed out that in the communication network of the management device, at least one management device can communicate with other management devices in the network. As shown in Figure 3 , it is a local communication topology of the management device, and e ij represents the edge composed of node i and node j.

[0055] In one embodiment, as shown in Figure 4 , in step S130, the step of determining the updated state information based on the initial state information and the adjacent state information includes:

[0056] Step S131, a compensation capacity consistency algorithm is constructed.

[0057] Specifically, in determining the updated state information, the compensation capacity consistency algorithm is first constructed, so that each governance device can adjust its compensation capacity according to the compensation capacity of the adjacent governance device. It can use a distributed computing method, so that each governance device can make a decision adjustment according to the state information of the adjacent governance device, that is, the adjacent state information, to ensure that the compensation capacities of all governance devices tend to be consistent after iteration.

[0058] Step S132, a global cost function is constructed.

[0059] Specifically, in determining the updated state information, a global cost function also needs to be constructed. The global cost function is used to indicate the degree of influence of the compensation capacity change of the governance device on the power quality, so as to find the best balance point in the optimization process. The global cost function includes multiple indicators related to power quality (such as voltage fluctuation, harmonic content, etc.). The global cost function can reflect the direct relationship between compensation capacity change and power quality improvement.

[0060] Step S133, a target update rule is determined based on the compensation capacity consistency algorithm and the global cost function.

[0061] Specifically, after the compensation capacity consistency algorithm and the global cost function are constructed, a target update rule that can maintain the consistency of the compensation capacity and optimize the power quality is formulated by combining the compensation capacity consistency algorithm and the global cost function. For example, based on the compensation capacity consistency algorithm, the gradient information of the global cost function is introduced to guide the adjustment direction of the compensation capacity, so that each governance device can adjust its compensation capacity according to the adjacent state information and the gradient information of the global cost function in each iteration.

[0062] Step S134, the initial state information and the adjacent state information are input into the target update rule to obtain the updated state information.

[0063] Specifically, after the target update rule is determined, the initial state information and the adjacent state information are input into the target update rule to obtain the corresponding updated state information, thereby completing one iteration. It can be understood that the compensation capacity of each governance device is updated after each iteration. When the termination condition (such as reaching the preset number of iterations or the global cost function converges) is met, the final updated state information is output.

[0064] In one embodiment, in step S131, the step of constructing the compensation capacity consistency algorithm comprises: determining the compensation capacity consistency algorithm based on the compensation capacity in the initial state information, the capacity difference between the initial state information and the adjacent state information, and the communication weight between the adjacent governing devices.

[0065] Specifically, under the consistency algorithm framework, each governing device exchanges information with adjacent governing devices, and iteratively updates its own compensation capacity, so that the compensation capacities of all devices gradually converge to be consistent. The update formula of the compensation capacity consistency algorithm is as follows:

[0066]

[0067] In the above formula, x i (k) represents the compensation capacity of the i-th governing device in the k-th iteration; represents the set of adjacent governing devices of the i-th governing device; represents the communication weight between the i-th governing device and the adjacent governing device j, which satisfies > 0; (x j (k) - x i (k)) represents the capacity difference between the governing device i and the adjacent governing device j, which represents the update direction.

[0068] In one embodiment, the global cost function comprises at least one of: a function of the harmonic distortion varying with the compensation capacity, a function of the voltage deviation varying with the compensation capacity, a function of the oscillation condition varying with the compensation capacity, and a function of the three-phase imbalance varying with the compensation capacity.

[0069] Specifically, in one specific embodiment, in order to achieve global optimal power quality governance, the harmonic distortion, the voltage deviation, the oscillation condition, and the three-phase imbalance are all combined, and the global cost function constructed is:

[0070]

[0071] In the above formula, H i (x i ) represents a function of the harmonic distortion of the node where the i-th governing device is located varying with the compensation capacity x i ; V i (x i ) represents a function of the voltage deviation of the node where the i-th governing device is located varying with the compensation capacity x i ; O i (x i ) represents a function of the oscillation condition of the node where the i-th governing device is located varying with the compensation capacity x i ; and U i (x irepresents the three-phase unbalance degree of the node where the i-th governing device is located as a function of the compensation capacity x i . , , and are the weight coefficients of different power quality indicators, and the greater the weight coefficient, the greater the priority and importance of the power quality governance.

[0072] The process of determining the target update rule according to the above global cost function is described in detail below. In order to achieve the optimization of the global target, the compensation capacity consistency algorithm can be combined with distributed optimization. The goal is to minimize the cost function J i (x i ) of each governing device while ensuring the consistency of the overall network capacity allocation through a consistency algorithm. The optimization problem of each governing device i can be represented as:

[0073]

[0074] Combined with the consistency constraint:

[0075]

[0076] wherein, is a step parameter for controlling the rate of update.

[0077] In order to achieve consistency and target optimization at the same time, the gradient descent method is introduced, and the specific update rule is as follows:

[0078]

[0079] In the above formula, is the step size of gradient descent; is the gradient of the cost function with respect to x i .

[0080] The target update rule determined by the above steps combines the optimization of the local target function (through gradient descent) and the consistency of the global capacity allocation (through the compensation capacity consistency algorithm), so that each governing device can handle local power quality problems and ensure that the compensation capacity allocation of the entire distribution network gradually tends to be consistent.

[0081] In one embodiment, the governing device constraint conditions include at least one of active power and reactive power balance constraints, active power injection and reactive power injection constraints, governing device capacity constraints, node voltage constraints, node harmonic voltage constraints, and three-phase unbalance degree constraints.

[0082] In one embodiment, the active power and reactive power balance constraint is:

[0083]

[0084] In the above formula, P i It is the active power injection at node i; V i and V j These are the voltage magnitudes at node i and node j, respectively; θ i and θ j These are the phase angles of the voltages at nodes i and j, respectively; G ij and B ij These are the real and imaginary parts of the admittance matrix in the i-th row and j-th column, respectively; Qi is the reactive power injection at node i.

[0085] In one embodiment, the active power injection and reactive power injection constraints are as follows:

[0086]

[0087]

[0088] In the above formula, Let i be the active load of node i; The active power generated by node i; The active power compensation provided to the governance device of the i-th node; Let i be the reactive load of node i; Let i be the reactive power generated at node i. This is the reactive power compensation for the governance device at the i-th node.

[0089] In one embodiment, the compensation capacity of each governance device is x i It is finite and cannot exceed its rated compensation capacity; the capacity constraint of the treatment device is: .in, It is the minimum compensation capacity of the i-th treatment device, which generally meets the requirements. x max This represents the maximum capacity of a single treatment unit. It is the maximum compensation capacity of the i-th treatment device, which generally meets the requirements. .

[0090] In one embodiment, the voltage level of the node to which the power quality management device is connected must be maintained within a safe range. Let the voltage of the node where the i-th management device is located be V. i The node voltage constraint is: .in, and These are the minimum and maximum values ​​of the voltage at the i-th node, respectively, typically within 10%, i.e., 0.9 pu. V i 1.1 p.u.

[0091] In one embodiment, the total harmonic distortion (THD) is a key power quality index, and the governing device must keep the harmonic distortion within a reasonable range. Let the voltage harmonic distortion rate of the node where the i-th governing device is located be THD i , then the node harmonic voltage constraint is: . Where THD max is the maximum value of the harmonic distortion rate, generally taking a value of 4%.

[0092] In one embodiment, the three-phase voltage unbalance degree is also one of the standards for testing the effect of power quality governance of the whole network. Let the three-phase unbalance degree of the node where the i-th governing device is located be U i , then the three-phase unbalance degree constraint is: . Where U max is the upper limit of the allowed three-phase unbalance degree, usually within 4%.

[0093] The following describes in detail the distributed collaborative governance method of the power quality governing device of the present application with a specific embodiment. As shown in Figure 5 , when the power quality in the distribution network needs to be governed, first, initialize each governing device and set the iteration number, the governing device communicates with the adjacent governing device based on the communication network topology, so that the adjacent nodes exchange state information in real time, then update the state information of each node according to the target update rule to obtain the corresponding updated state information. Then, judge the constraint conditions of the state information (i.e. the updated state information) of each node, and in the case that the state information meets the governing device constraint conditions, judge whether the decision variables of all nodes converge to be consistent, i.e. whether the compensation capacity of all governing devices is consistent and the power quality governance effect of the distribution network reaches the global optimum. In the case that it does not converge to be consistent, continue to update the state information through the above steps until the constraint conditions are met or the iteration number is reached. After the iteration is completed, the compensation strategy of the governing device at each node can be obtained, and each governing device can complete the governance of the power quality of the distribution network by executing the corresponding governance strategy.

[0094] Through the description of the above embodiments, the power quality treatment device distributed collaborative treatment method has the following advantages: (1) can effectively treat the widespread power quality problems in the power distribution network, and improve the overall treatment effect; (2) can enhance the coordination and information sharing capability of the treatment device. A weak communication topology is established between the treatment devices to improve the accuracy and stability of the treatment; (3) can improve the robustness and economy of the system. The consistent algorithm is used to optimize the compensation power of each treatment device, realize the distributed collaborative treatment of the power quality pollution in the whole network, enhance the robustness of the system, and reduce the treatment cost; (4) can improve the expansibility and adaptability of the system. The method can better cope with the changes of the power distribution network topology and load, and has strong adaptability.

[0095] It should be understood that, although each step in the flowchart involved in each embodiment as described above is displayed in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in each embodiment as described above can include multiple steps or stages, which 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 sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0096] Based on the same inventive concept, the embodiments of the present application also provide a distributed collaborative treatment device for implementing the above-mentioned distributed collaborative treatment method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so the specific limitations in one or more distributed collaborative treatment device embodiments provided below can refer to the limitations of the distributed collaborative treatment method in the above text, and will not be repeated here.

[0097] In one embodiment, as shown in Figure 6 A distributed collaborative treatment device is provided, comprising: an initialization module 210, an information acquisition module 220, a state updating module 230, a constraint judgment module 240, a strategy determination module 250 and a power quality treatment module 260, wherein:

[0098] The initialization module 210 is configured to initialize the initial state information of the treatment device; wherein the initial state information includes: compensation capacity, voltage amplitude, phase angle, active power and reactive power;

[0099] The information acquisition module 220 is configured to acquire the initial state information of the adjacent treatment device to obtain adjacent state information;

[0100] The state updating module 230 is configured to determine updated state information based on the initial state information and the adjacent state information.

[0101] The constraint judgment module 240 is configured to continue to update the updated state information until the compensation capacities of all the power quality management devices are consistent and the power quality management effect of the power distribution network reaches the global optimum, if the updated state information meets the constraint condition of the power quality management device.

[0102] The strategy determining module 250 is configured to determine a compensation strategy based on the updated updated state information.

[0103] The power quality management module 260 is configured to perform power quality management on the power quality management device according to the compensation strategy.

[0104] In one embodiment, as shown in FIG. 1, the distributed collaborative power quality management device further comprises: Figure 7

[0105] The communication network construction module 310 is configured to construct a communication network topology of the power quality management device, wherein in the communication network topology, two adjacent power quality management devices can communicate with each other, and at least one power quality management device can communicate with other power quality management devices.

[0106] The communication control module 320 is configured to perform information interaction between the power quality management devices based on the communication network topology.

[0107] In one embodiment, the state updating module 230 is further configured to construct a compensation capacity consistency algorithm, wherein the compensation capacity consistency algorithm is used to make the compensation capacities of all the power quality management devices tend to be consistent after iteration; construct a global cost function, wherein the global cost function is used to indicate the influence degree of the change of the compensation capacity of the power quality management device on the power quality; determine a target updating rule based on the consistency algorithm and the global cost function; input the initial state information and the adjacent state information into the target updating rule to obtain the updated state information.

[0108] In one embodiment, the state updating module 230 is further configured to determine the compensation capacity consistency algorithm based on the compensation capacity in the initial state information, the capacity difference between the initial state information and the adjacent state information, and the communication weight between the adjacent power quality management devices.

[0109] In one embodiment, the global cost function comprises at least one of a function of the harmonic distortion degree changing with the compensation capacity, a function of the voltage deviation changing with the compensation capacity, a function of the oscillation condition changing with the compensation capacity, and a function of the three-phase unbalance degree changing with the compensation capacity.

[0110] ​In one embodiment, the governing device constraint includes at least one of active power and reactive power balance constraint, active power injection and reactive power injection constraint, governing device capacity constraint, node voltage constraint, node harmonic voltage constraint, and three-phase imbalance constraint.

[0111] In one embodiment, as shown in FIG. 1, an architecture diagram of the distributed cooperative governing device is provided. The distributed cooperative governing device includes a data communication layer, a data processing and signal output layer, and a power quality compensation layer. The data communication layer is used to build a communication network topology of the governing device and establish communication between all the governing devices. The data processing and signal output layer is used to perform the data processing steps in the above embodiments. For the controller of each governing device, the corresponding compensation strategy can be obtained through the data processing steps of the distributed control consistency algorithm, so as to control the state of the governing device through the corresponding compensation strategy and complete the power quality management of the distribution network. Figure 8

[0112] The above-mentioned modules in the distributed cooperative governing device can be realized by software, hardware, or a combination thereof, in whole or in part. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the above-mentioned modules.

[0113] In one embodiment, a computer device is provided, which can be a terminal. The internal structure diagram of the computer device can be as shown in FIG. 2. Figure 9 ​As shown in the figure. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. Among them, the processor, the memory and the input / output interface are connected through the system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control ability. 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 and a computer program. The internal memory provides an environment for the operating system and the computer program in the non-volatile storage medium to run. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. Wireless mode can be achieved through WIFI, mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by the processor to implement a distributed collaborative governance method of power quality governance device. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0114] Those skilled in the art can understand that, Figure 9 The skilled in the art can understand that,

[0115] In one embodiment, a computer device is provided, including a memory and a processor, the memory stores a computer program, and the processor executes the computer program to implement the steps in each method embodiment described above.

[0116] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the processor executes the computer program to implement the steps in each method embodiment described above.

[0117] Those skilled 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. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric 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 but not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0118] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist, it should be considered as the scope of the present application.

[0119] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A distributed collaborative governance method for power quality management devices, characterized in that, A method for improving power quality in a power distribution network, wherein the power distribution network includes multiple improvement devices; the method includes: Initialize the initial state information of the governance device; wherein, the initial state information includes: compensation capacity, voltage amplitude, phase angle, active power and reactive power; Obtain the initial state information of the adjacent treatment devices to obtain adjacent state information; The updated state information is determined based on the initial state information and the adjacent state information; If the updated status information meets the constraints of the governance device, the updated status information continues to be updated until the compensation capacity of all governance devices is consistent and the power quality governance effect of the distribution network reaches the global optimum; wherein, the constraints of the governance device include at least one of the following: active power and reactive power balance constraints, active power injection and reactive power injection constraints, governance device capacity constraints, node voltage constraints, node harmonic voltage constraints, and three-phase unbalance constraints. A compensation strategy is determined based on the updated status information. The power quality is improved by the power management device according to the compensation strategy. The step of determining the updated state information based on the initial state information and the adjacent state information includes: A compensation capacity consistency algorithm is constructed; wherein, the compensation capacity consistency algorithm is used to make the compensation capacity of all governance devices approach consistency after iteration; A global cost function is constructed; wherein the global cost function is used to indicate the degree of influence of the compensation capacity change of the governance device on power quality; the global cost function includes at least one of the following: a function of harmonic distortion as a function of compensation capacity, a function of voltage deviation as a function of compensation capacity, a function of oscillation as a function of compensation capacity, and a function of three-phase imbalance as a function of compensation capacity. The target update rule is determined based on the compensation capacity consistency algorithm and the global cost function; The initial state information and the adjacent state information are input into the target update rule to obtain the updated state information.

2. The distributed collaborative governance method of the power quality management device according to claim 1, characterized in that, The method further includes: Construct a communication network topology for the governance devices; wherein, in the communication network topology, two adjacent governance devices can communicate with each other, and at least one governance device can communicate with other governance devices; Information exchange between the governance devices is based on the communication network topology.

3. The distributed collaborative governance method of the power quality management device according to claim 1, characterized in that, The steps for constructing the compensation capacity consensus algorithm include: The compensation capacity consistency algorithm is determined based on the compensation capacity in the initial state information, the capacity difference between the initial state information and the adjacent state information, and the communication weight between the initial state information and the adjacent governance devices.

4. A distributed collaborative management device for power quality management, characterized in that, An application for power quality management in power distribution networks, wherein the power distribution network includes multiple management devices; the devices include: An initialization module is used to initialize the initial state information of the governance device; wherein, the initial state information includes: compensation capacity, voltage amplitude, phase angle, active power and reactive power; An information acquisition module is used to acquire the initial state information of adjacent treatment devices to obtain adjacent state information; A state update module is used to determine updated state information based on the initial state information and the adjacent state information, including: constructing a compensation capacity consistency algorithm; wherein the compensation capacity consistency algorithm is used to make the compensation capacity of all governance devices approach consistency after iteration; constructing a global cost function; wherein the global cost function is used to indicate the degree of impact of the compensation capacity change of the governance device on power quality; the global cost function includes at least one of: a function of harmonic distortion changing with compensation capacity, a function of voltage deviation changing with compensation capacity, a function of oscillation changing with compensation capacity, and a function of three-phase imbalance changing with compensation capacity; determining a target update rule based on the compensation capacity consistency algorithm and the global cost function; and inputting the initial state information and the adjacent state information into the target update rule to obtain the updated state information. The constraint judgment module is used to continue updating the updated status information when the updated status information meets the constraints of the governance device, until the compensation capacity of all the governance devices is consistent and the power quality governance effect of the distribution network reaches the global optimum; wherein, the constraints of the governance device include at least one of the following: active power and reactive power balance constraints, active power injection and reactive power injection constraints, governance device capacity constraints, node voltage constraints, node harmonic voltage constraints, and three-phase unbalance constraints. The strategy determination module is used to determine a compensation strategy based on the updated status information. A power quality management module is used to perform power quality management on the management device according to the compensation strategy.

5. The distributed collaborative management device for power quality management according to claim 4, characterized in that, The device further includes: A communication network construction module is used to construct the communication network topology of the governance device; wherein, in the communication network topology, two adjacent governance devices can communicate with each other, and at least one governance device can communicate with other governance devices; A communication control module is used to perform information interaction between the governance devices based on the communication network topology.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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