Distributed cooperative treatment method and device for power quality treatment device, computer equipment and storage medium

Abstract

The invention relates to a distributed cooperative treatment method and device for a power quality treatment device, computer equipment 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; under the condition that the updated state information meets the constraint conditions of the governance devices, continuing to update the updated state information until the compensation capacities of all the governance devices are consistent and the power quality governance effect of the power distribution network reaches the global optimum; determining a compensation strategy based on the updated update state information; and performing electric energy quality treatment on the treatment device according to the compensation strategy. Through the method, each treatment device can process the local electric energy quality problem, it can be guaranteed that compensation capacity distribution of the whole 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, and in particular to a distributed collaborative management method, device, computer equipment and storage medium for a power quality management device. Background Art

[0002] With the massive grid-connected operation of distributed power sources, nonlinear loads and impact loads in the distribution network, the power quality pollution problem in the distribution network has become more and more serious, bringing severe challenges to power quality management. In traditional distribution networks, power quality pollution is relatively concentrated, so point-to-point management can achieve the purpose of managing power quality pollution in the entire network. However, in the new distribution network, the pollution source has the characteristics of high penetration and decentralized network. At this time, the traditional point-to-point management method cannot effectively solve the widespread power quality problems in the entire distribution network, resulting in poor management effect. Summary of the invention

[0003] Based on this, it is necessary to provide a distributed collaborative management method, device, computer equipment and storage medium for a power quality management device that can improve the management effect in response to the above-mentioned technical problems.

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

[0005] The method comprises: initializing the initial state information of the management device; wherein the initial state information comprises: compensation capacity, voltage amplitude, phase angle, active power and reactive power; acquiring the initial state information of the adjacent management device to obtain adjacent state information; determining update state information based on the initial state information and the adjacent state information; continuing to update the update state information when the update state information satisfies the constraint conditions of the management device until the compensation capacity of all the management devices is consistent and the power quality management effect of the distribution network reaches the global optimum; determining the compensation strategy based on the updated update state information; and performing power quality management on the management device according to the compensation strategy.

[0006] In one of the embodiments, the method further includes: constructing a communication network topology of 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; and performing information exchange between the governance 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 includes: constructing a compensation capacity consistency algorithm; wherein the compensation capacity consistency algorithm is used to make the compensation capacity of all management devices approach consistency after iteration; constructing a global cost function; wherein the global cost function is used to indicate the degree of influence of the change in the compensation capacity of the management device on the power quality; 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.

[0008] In one of the embodiments, the step of constructing a compensation capacity consistency algorithm includes: 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 governance device.

[0009] In one embodiment, the global cost function includes at least one of: a function of harmonic distortion varying with compensation capacity, a function of voltage deviation varying with compensation capacity, a function of oscillation varying with compensation capacity, and a function of three-phase imbalance varying with compensation capacity.

[0010] In one of the embodiments, the control device constraints include: at least one of active power and reactive power balance constraints, active power injection and reactive power injection constraints, control device capacity constraints, node voltage constraints, node harmonic voltage constraints, and three-phase imbalance constraints.

[0011] In a second aspect, the present application further provides a distributed collaborative management device for a power quality management device, which is applied to the management of power quality in a distribution network, wherein the distribution network includes a plurality of management devices;

[0012] The device includes: an initialization module, which is used to initialize the initial state information of the management device; wherein the initial state information includes: compensation capacity, voltage amplitude, phase angle, active power and reactive power; an information acquisition module, which is used to acquire the initial state information of the adjacent management device to obtain adjacent state information; a state update module, which is used to determine the updated state information based on the initial state information and the adjacent state information; a constraint judgment module, which is used to continue to update the updated state information when the updated state information meets the constraint conditions of the management device until the compensation capacity of all the management devices is consistent and the power quality management effect of the distribution network reaches the global optimum; a strategy determination module, which is used to determine the compensation strategy based on the updated updated state information; and a power quality management module, which is used to perform power quality management on the management device according to the compensation strategy.

[0013] In one embodiment, the device further includes: a communication network construction module, used to construct a communication network topology of the management device; wherein, in the communication network topology, two adjacent management devices can communicate with each other, and at least one management device can communicate with other management devices; and a communication control module, used to perform information exchange between the management devices based on the communication network topology.

[0014] In a third aspect, the present application further provides a computer device, wherein the computer device comprises a memory and a processor, wherein 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 having a computer program stored thereon, wherein the computer program implements the steps of the above method when executed by a processor.

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

[0017] FIG1 is a schematic diagram of a process flow of a distributed collaborative governance method in one embodiment;

[0018] FIG2 is a schematic diagram of a process for constructing a communication network topology in one embodiment;

[0019] FIG3 is a local communication topology diagram of a management device in one embodiment;

[0020] FIG4 is a schematic diagram of a process for obtaining update status information in one embodiment;

[0021] FIG5 is a schematic diagram of a process flow of a distributed collaborative governance method in another embodiment;

[0022] FIG6 is a schematic diagram of a module of a distributed collaborative governance device in one embodiment;

[0023] FIG7 is a schematic diagram of modules of a distributed collaborative governance device in another embodiment;

[0024] FIG8 is a schematic diagram of the architecture of a distributed collaborative governance device in one embodiment;

[0025] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0026] In order to facilitate understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. Embodiments of the present application are provided in the drawings. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present application more thorough and comprehensive.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0028] As described in the background technology, the point-to-point governance method in the prior art has the following main problems when governing new distribution networks: First, it cannot effectively solve the widespread power quality problems in the entire distribution network, and the governance effect is limited; Second, under the point-to-point governance mode, effective coordination and information sharing between governance devices cannot be carried out, which may lead to under-compensation or over-compensation of individual governance devices, thereby causing new stability problems; Third, the point-to-point governance method has poor scalability. This governance method is usually designed for the power quality of a single scenario. When the topology or load of the distribution network changes, the original governance plan needs to be readjusted; Fourth, the cost-effectiveness is low. The point-to-point governance method usually requires a dedicated power quality governance device to be configured for each specific load or device, resulting in high maintenance costs for the equipment. In addition, due to the limited governance effect, additional equipment may be required 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 in the face of rapidly changing loads or grid conditions. This method may not be adjusted in time, resulting in power quality problems that are difficult to effectively control. In addition to the shortcomings in the management methods, the management functions of existing management devices are relatively simple. In the face of complex distribution network environments, they are unable to deal with multiple types of power quality problems at the same time, resulting in poor power quality management effects in the distribution network.

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

[0030] In one embodiment, as shown in FIG1 , a distributed collaborative governance method for a power quality governance device is provided, and the method is described by taking the application of the method to the governance device as an example, including the following steps:

[0031] Step S110, initializing the initial status information of the management device.

[0032] Specifically, the distribution network includes multiple management devices, and the management devices are arranged at various nodes of the distribution network. When the power quality of the distribution network needs to be managed, the state information of each management device is first initialized and used 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 compensation that the management device can provide; the voltage amplitude is the voltage at the access point of the management 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 management device (usually small); the reactive power is the reactive power provided or absorbed by the management device, which is used to improve the power factor of the distribution network.

[0033] Step S120, obtaining initial status information of adjacent management devices to obtain adjacent status information.

[0034] Specifically, after completing the initialization of the management device, each management device needs to obtain the initial state information of other adjacent management devices through communication and use it as the adjacent state information. This helps to determine the state of each point in the entire distribution network, so as to perform comprehensive optimization.

[0035] Step S130: determining update state information based on the initial state information and the neighboring state information.

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

[0037] Step S140, when the updated status information satisfies the constraint conditions of the management device, continue to update the updated status information until the compensation capacities of all management devices are consistent and the power quality management effect of the distribution network reaches the global optimum.

[0038] Specifically, after the governance device determines the update status information, it is necessary to determine whether the adjusted update status information satisfies the governance device constraints (such as maximum / minimum compensation capacity, voltage range, etc.). If the update status information does not satisfy the governance device constraints, it is necessary to adjust the update status information to satisfy the governance device constraints. If the update status information satisfies the governance device constraints, it is also necessary to continue to update the update status information until the compensation capacity of all governance devices is consistent and the power quality governance effect of the distribution network reaches the global optimum, thereby obtaining the updated update status information.

[0039] Step S150: determining a compensation strategy based on the updated update status information.

[0040] Specifically, after obtaining the updated update status information, the management device determines a corresponding compensation strategy according to the updated update status 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 its own working state and parameters in real time, thereby improving the power quality in the 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 management devices after adjustment is consistent and the power quality management effect of the distribution network reaches the global optimum.

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

[0044] In one embodiment, as shown in FIG2 , the distributed collaborative management method of the power quality management device further includes:

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

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

[0047] Specifically, since the governance device of the present application needs to obtain the status information of the adjacent governance devices, when performing distributed collaborative governance, it is first necessary to construct the communication network topology of the governance device, and then when communication is required, information exchange between the governance devices is performed based on the constructed communication network topology. In the communication network topology constructed by the present application, two adjacent governance devices can communicate with each other, and there is at least one governance device that can communicate with other governance devices. In this embodiment, the local communication network can be used to exchange information between governance devices, and each governance device only needs to exchange information according to the constructed communication network topology, which eliminates the process of global information interaction, realizes plug-and-play of governance devices, and improves the robustness and economy of governance devices.

[0048] In a specific embodiment, the communication network topology can be modeled by a graph structure G=(V, E, A), where V={v1, v2, v3, ..., v n}, representing a non-empty set of nodes, v i is the i-th node, and the node subscript index is a finite set, N∈{1,2,……,n}. The edge set E∈V×V is the set of edges between nodes. If nodes i and j can communicate with each other, the communication topology graph is called an undirected graph. The present application performs collaborative allocation of governance devices based on an undirected graph, and there is no situation where the information output by node i is received by itself and there are multiple edges connecting two nodes. is the adjacency matrix of the governance device communication network topology, and there exists ,on the contrary, Therefore, the Laplace 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 Laplace matrix expression is:

[0049]

[0050] For each governance device, the collaborative control strategy M of each node i It can be expressed as:

[0051]

[0052] In the above formula, x i represents the compensation capacity of the i-th treatment device, is the weight matrix, and its value range is between 0 and 1. 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 exists b ii The value is always 1, indicating that each management device can receive its own output information; when the output signal of the jth 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 jth management device and the ith device. In addition, it should be pointed out that in the communication network of the management device, there is at least one management device that can communicate and interact with other management devices in the network. As shown in Figure 3, it is a local communication topology of the management device. ij Represents the edge formed by node i and node j.

[0055] In one embodiment, as shown in FIG. 4 , in step S130, the step of determining the update state information based on the initial state information and the neighboring state information includes:

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

[0057] Specifically, when determining to update the status information, this embodiment first constructs a compensation capacity consistency algorithm so that each governance device can adjust its own compensation capacity according to the compensation capacity of the adjacent governance device. It can adopt a distributed computing method so that each governance device can make decisions and adjustments based on the status information of the adjacent governance device, that is, the adjacent status information, to ensure that the compensation capacities of all governance devices are close to the same after iteration.

[0058] Step S132, constructing a global cost function.

[0059] Specifically, when determining the update status information, it is also necessary to construct a global cost function, which 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 the change of compensation capacity and the improvement of power quality.

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

[0061] Specifically, after constructing the compensation capacity consistency algorithm and the global cost function, a compensation capacity consistency algorithm and the global cost function are combined to formulate an update rule that can both maintain the consistency of the compensation capacity and optimize the power quality, that is, the target update rule. For example, on the basis of 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 own compensation capacity according to the adjacent state information and the gradient information of the global cost function in each iteration.

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

[0063] Specifically, after determining the target update rule, 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 an iteration. It can be understood that after each iteration, the compensation capacity of each governance device is updated. When the termination condition is met (such as reaching a preset number of iterations or the global cost function converges), the final updated state information is output.

[0064] In one embodiment, in step S131, the step of constructing a compensation capacity consistency algorithm includes: 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 governance devices.

[0065] Specifically, under the consensus algorithm framework, each governance device exchanges information with adjacent governance devices and iteratively updates its own compensation capacity, so that the compensation capacity of all devices gradually approaches consistency. 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 treatment device in the k-th iteration; represents the set of neighboring governance devices of the i-th governance device; represents the communication weight between the i-th governance device and the adjacent governance device j, which satisfies >0;(x j (k)-x i (k)) represents the capacity difference between governance device i and the adjacent governance device j, which represents the direction of update.

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

[0069] Specifically, in a specific embodiment, in order to achieve global optimal power quality management, harmonic distortion, voltage deviation, oscillation and three-phase imbalance are all combined to construct a global cost function:

[0070]

[0071] In the above formula, H i (x i ) represents the harmonic distortion of the node where the i-th treatment device is located with the compensation capacity x i Function of change; V i (x i ) represents the voltage deviation of the node where the i-th treatment device is located with the compensation capacity x i Function of change; i (x i ) represents the oscillation of the node where the i-th treatment device is located with the compensation capacity x i Function of change; U i (x i ) represents the three-phase unbalance degree of the node where the i-th treatment device is located with the compensation capacity x i Function of change; , , and They are the weight coefficients of different power quality indicators. The larger the weight coefficient, the greater the priority and importance of the power quality management.

[0072] The following describes in detail the process of determining the target update rule based on the above global cost function. In order to achieve the optimal global goal, the compensation capacity consistency algorithm can be combined with distributed optimization. The goal is to minimize the cost function J of each governance device. i (x i ), and the consistency of capacity allocation across the entire network is ensured by a consistency algorithm. The optimization problem for each governance device i can be expressed as:

[0073]

[0074] Combined with consistency constraints:

[0075]

[0076] in, is the step size parameter, which is used to control the update rate.

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

[0078]

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

[0080] The target update rule determined in the above steps combines the optimization of the local objective function (through gradient descent) and the consistency of the global capacity allocation (through the compensation capacity consistency algorithm), so that each management device can not only deal with local power quality problems, but also ensure that the compensation capacity allocation of the entire distribution network gradually converges to consistency.

[0081] In one embodiment, the control device constraints include: at least one of active power and reactive power balance constraints, active power injection and reactive power injection constraints, control device capacity constraints, node voltage constraints, node harmonic voltage constraints, and three-phase imbalance constraints.

[0082] In one embodiment, the active power and reactive power balance constraints are:

[0083]

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

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

[0086]

[0087]

[0088] In the above formula, is the active load of node i; is the active power generation of node i; Active power compensation provided for the governance device of the i-th node; is the reactive load of node i; is the reactive power generation of node i; is the reactive power compensation of the governance device of the i-th node.

[0089] In one embodiment, the compensation capacity x of each treatment device i It is limited and cannot exceed its rated compensation capacity. The capacity constraint of the treatment device is: .in, is the minimum compensation capacity of the i-th treatment device, which generally satisfies , x max The maximum capacity of a single treatment device; is the maximum compensation capacity of the i-th treatment device, which generally satisfies .

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

[0091] In one embodiment, the total harmonic distortion (THD) is a key power quality indicator, and the control device must keep the harmonic distortion within a reasonable range. Suppose the voltage harmonic distortion rate of the node where the i-th control device is located is THD i , then the node harmonic voltage constraint is: Among them, THD max It is the maximum value of the harmonic distortion rate, which is generally 4%.

[0092] In one embodiment, the three-phase voltage imbalance is also one of the criteria for testing the power quality management effect of the entire network. Assume that the three-phase imbalance of the node where the i-th management device is located is U i , then the three-phase unbalance constraint is: Among them, U max It is the upper limit of the allowable three-phase imbalance, usually within 4%.

[0093] The following is a detailed description of the distributed collaborative governance method of the power quality management device of the present application with a specific embodiment. As shown in Figure 5, when it is necessary to manage the power quality in the distribution network, each management device is first initialized and the number of iterations is set. The management device communicates with adjacent management devices based on the communication network topology, so that adjacent nodes exchange status information in real time, and then updates the status information of each node according to the target update rule to obtain the corresponding updated status information. Then, the state information of each node (that is, the updated state information) is subjected to constraint judgment, and when the state information satisfies the constraint conditions of the management device, it is judged whether the decision variables of all nodes converge to consistency, that is, whether the compensation capacity of all management devices is consistent and the power quality management effect of the distribution network reaches the global optimum. In the case of not converging to consistency, the above steps are continued to update the state information until the constraint conditions are met or the number of iterations is reached. After the iteration is completed, the compensation strategy of the management device at each node can be obtained, and each management device can complete the management of the power quality of the distribution network by executing the corresponding management strategy.

[0094] Through the description of the above embodiments, the distributed collaborative governance method of the power quality management device of the present application has the following advantages: (1) It can effectively manage a wide range of power quality problems in the distribution network and improve the overall governance effect; (2) It can enhance the coordination and information sharing capabilities of the management device. A weak communication topology is established between the management devices to improve the accuracy and stability of the management; (3) It can improve the robustness and economy of the system. The consistency algorithm is used to optimize the compensation power of each management device to achieve distributed collaborative governance of power quality pollution in the entire network, enhance the robustness of the system, and reduce the cost of governance; (4) It can improve the scalability and adaptability of the system. This method can better cope with changes in the topology and load of the distribution network and has strong adaptability.

[0095] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned 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 does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can 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 to be 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.

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

[0097] In one embodiment, as shown in FIG6 , a distributed collaborative governance device is provided, including: an initialization module 210, an information acquisition module 220, a state update module 230, a constraint judgment module 240, a strategy determination module 250 and a power quality governance module 260, wherein:

[0098] Initialization module 210, used 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 used to acquire the initial state information of the adjacent management device to obtain the adjacent state information;

[0100] A state updating module 230, configured to determine update state information based on the initial state information and the neighboring state information;

[0101] The constraint judgment module 240 is used to continue updating the update status information when the update status information satisfies the constraint conditions of the governance device until the compensation capacities of all governance devices are consistent and the power quality governance effect of the distribution network reaches the global optimum;

[0102] A strategy determination module 250, configured to determine a compensation strategy based on the updated update status information;

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

[0104] In one embodiment, as shown in FIG7 , the distributed collaborative governance device further includes:

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

[0106] The communication control module 320 is used to perform information exchange between management devices based on the communication network topology.

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

[0108] In one embodiment, the state update module 230 is further used to determine a 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 governance devices.

[0109] In one embodiment, the global cost function includes at least one of: a function of harmonic distortion varying with compensation capacity, a function of voltage deviation varying with compensation capacity, a function of oscillation varying with compensation capacity, and a function of three-phase imbalance varying with compensation capacity.

[0110] In one embodiment, the control device constraints include: at least one of active power and reactive power balance constraints, active power injection and reactive power injection constraints, control device capacity constraints, node voltage constraints, node harmonic voltage constraints, and three-phase imbalance constraints.

[0111] In one embodiment, as shown in FIG8 , it is an architecture diagram of a distributed collaborative governance device. The distributed collaborative governance 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 construct a communication network topology of the governance device and establish communication between all governance devices. The data processing and signal output layer is used to execute the data processing steps in the above embodiment. For the controller of each governance device, the corresponding compensation strategy can be obtained through the data processing steps of the distributed control consistency algorithm, so as to control its own state through the corresponding compensation strategy and complete the governance of the power quality of the distribution network.

[0112] Each module in the above-mentioned distributed collaborative governance device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0113] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Fig. 9As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are 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 and a computer program. 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 the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a distributed collaborative management method for a power quality management device is realized. 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, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0114] Those skilled in the art will understand that Fig. 9 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.

[0115] In one embodiment, a computer device is 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-mentioned method embodiments when executing the computer program.

[0116] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the processor executes the computer program, the steps in the above-mentioned method embodiments are implemented.

[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, 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 this 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 memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive 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, etc., but are not limited to this.

[0118] 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 specification.

[0119] 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 distributed collaborative management method for a power quality management device, characterized in that: Applicable to the management of power quality in a distribution network, wherein the distribution network includes a plurality of management devices; the method includes: Initializing 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; Acquire the initial state information of the adjacent management device to obtain adjacent state information; Determine update state information based on the initial state information and the neighbor state information; When the updated state information satisfies the constraint condition of the governance device, the updated state information is continuously updated until the compensation capacities of all the governance devices are consistent and the power quality governance effect of the distribution network reaches a global optimum; Determining a compensation strategy based on the updated update status information; The power quality of the control device is controlled according to the compensation strategy.

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

3. The distributed collaborative management method of the power quality management device according to claim 1 is characterized in that: The step of determining the updated state information based on the initial state information and the neighboring state information comprises: Constructing a compensation capacity consistency algorithm; wherein the compensation capacity consistency algorithm is used to make the compensation capacities of all treatment devices approach consistency after iteration; Constructing a global cost function; wherein the global cost function is used to indicate the degree of influence of the change in the compensation capacity of the governance device on the power quality; Determining a target update rule 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.

4. The distributed collaborative management method of the power quality management device according to claim 3 is characterized in that: The step of constructing a compensation capacity consistency algorithm includes: 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 adjacent governance devices.

5. The distributed collaborative management method of the power quality management device according to claim 3 is characterized in that: The global cost function includes at least one of a function of harmonic distortion varying with compensation capacity, a function of voltage deviation varying with compensation capacity, a function of oscillation varying with compensation capacity, and a function of three-phase imbalance varying with compensation capacity.

6. The distributed collaborative management method of the power quality management device according to claim 1 is characterized in that: The control device constraint conditions include: at least one of active power and reactive power balance constraint, active power injection and reactive power injection constraint, control device capacity constraint, node voltage constraint, node harmonic voltage constraint, and three-phase imbalance constraint.

7. A distributed collaborative management device for power quality management device, characterized in that: Applicable to the management of power quality in a distribution network, the distribution network includes a plurality of management devices; the devices include: An initialization module, 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, used to acquire the initial state information of the adjacent management device to obtain adjacent state information; A state updating module, configured to determine update state information based on the initial state information and the neighboring state information; A constraint judgment module, used for continuing to update the updated status information when the updated status information satisfies the constraint conditions of the governance device until the compensation capacities of all the governance devices are consistent and the power quality governance effect of the distribution network reaches a global optimum; A strategy determination module, used to determine a compensation strategy based on the updated update status information; The power quality management module is used to perform power quality management on the management device according to the compensation strategy.

8. The distributed collaborative management device of the power quality management device according to claim 7 is characterized in that: The device also includes: A communication network construction module, used to construct a communication network topology of the management device; wherein, in the communication network topology, two adjacent management devices can communicate with each other, and at least one management device can communicate with other management devices; A communication control module is used to perform information exchange between the management devices based on the communication network topology.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, 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 6 are implemented.

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