Power flow analysis method and device for power distribution network, computer equipment, readable storage medium and program product

Abstract

The invention relates to a power distribution network power flow analysis method and device, computer equipment, a readable storage medium and a program product, and relates to the technical field of power distribution networks. The method comprises the steps of determining a first power distribution network and a second power distribution network in a target power distribution network in response to a power flow analysis instruction for the target power distribution network; the first power distribution network provides electric energy for the second power distribution network; performing power flow analysis on the second power distribution network through a second power flow analysis model matched with the second power distribution network to obtain a second power grid operation parameter of the second power distribution network; performing power flow analysis on the first power distribution network through a first power flow analysis model matched with the first power distribution network based on the second power grid operation parameter to obtain a first power grid operation parameter of the first power distribution network; and taking the first power grid operation parameter and the second power grid operation parameter as a power flow analysis result of the target power distribution network under the condition that a power flow analysis stop condition is met. By adopting the method, the power flow analysis efficiency can be improved.

Description

Technical Field

[0001] This application relates to the technical field of distribution networks, and particularly to a distribution network power flow analysis method, device, computer device, computer-readable storage medium, and computer program product. Background Art

[0002] The distribution network is at the end of the power system and directly affects the power consumption experience of power users. However, with the access of a large number of new types of power sources and loads, the structure and operating characteristics of the distribution network have changed significantly, and the uncertainty of the distribution network power flow has increased. Therefore, it is necessary to obtain the power flow state of the distribution network through real-time power flow calculation to ensure the safe, stable, and economic operation of the distribution network.

[0003] Currently, power flow calculation mainly relies on traditional centralized calculation methods. However, when facing a large-scale and complex power system, the calculation process of the centralized calculation method takes a long time and has low calculation efficiency, resulting in low efficiency of power flow analysis. Summary of the Invention

[0004] Based on this, it is necessary to provide a distribution network power flow analysis method, device, computer device, computer-readable storage medium, and computer program product that can improve the efficiency of power flow analysis for the above technical problems.

[0005] In a first aspect, this application provides a distribution network power flow analysis method, including: in response to a power flow analysis instruction for a target distribution network, determining a first distribution network and a second distribution network in the target distribution network; the first distribution network supplies power to the second distribution network; determining a second power flow analysis model matching the second distribution network, and through the second power flow analysis model, performing power flow analysis on the second distribution network to obtain second grid operation parameters of the second distribution network; determining a first power flow analysis model matching the first distribution network, and based on the second grid operation parameters, through the first power flow analysis model, performing power flow analysis on the first distribution network to obtain first grid operation parameters of the first distribution network; in the case where a power flow analysis stop condition is satisfied, taking the first grid operation parameters and the second grid operation parameters together as the power flow analysis result of the target distribution network.

[0006] In one of the embodiments, the method further includes: for at least one target substation area in the second distribution network, respectively determining an intermediate voltage transformation device matching each target substation area; the target substation area is connected to the first distribution network through the intermediate voltage transformation device; obtaining initial operation parameters of the intermediate voltage transformation device; performing power flow analysis on the second distribution network through the second power flow analysis model to obtain second grid operation parameters of the second distribution network, including: through the second power flow analysis model, based on the initial operation parameters, performing power flow analysis on the target substation area to obtain target substation area power flow parameters of the target substation area; determining a target power matching the target substation area power flow parameters, and taking the target power as the second grid operation parameters.

[0007] In one embodiment, based on the second power grid operation parameters, a power flow analysis is performed on the first distribution network through the first power flow analysis model to obtain the first power grid operation parameters of the first distribution network, including: based on the target power, a power flow analysis is performed on the first distribution network through the first power flow analysis model to obtain the target distribution network power flow parameters of the first distribution network; determining a target voltage that matches the target distribution network power flow parameters, and using the target voltage as the first power grid operation parameter.

[0008] In one embodiment, the method further includes: obtaining a power interference value and a voltage interference value; performing sensitivity analysis on the first power flow analysis model based on the power interference value to obtain a first sensitivity analysis result of the first power flow analysis model; performing sensitivity analysis on the second power flow analysis model based on the voltage interference value to obtain a second sensitivity analysis result of the second power flow analysis model; and performing a power flow analysis evaluation on the target distribution network according to the first sensitivity analysis result and the second sensitivity analysis result to obtain a power flow analysis evaluation result of the target distribution network.

[0009] In one embodiment, the method further includes: when the power flow analysis stop condition is not satisfied, obtaining the number of power flow analysis times; when the number of power flow analysis times is less than the power flow analysis threshold, using the target distribution network power flow parameters of the first distribution network as the input of the second power flow analysis model to perform a power flow analysis on the second distribution network.

[0010] In one embodiment, the method further includes: when the number of power flow analysis times is greater than or equal to the power flow analysis threshold, updating the target distribution network power flow parameters based on the intersection point estimation method to obtain updated power flow parameters; and using the updated power flow parameters as the input of the second power flow analysis model to perform a power flow analysis on the second distribution network.

[0011] In a second aspect, the present application further provides a distribution network power flow analysis device, including: a power flow analysis instruction acquisition module, configured to determine a first distribution network and a second distribution network in the target distribution network in response to a power flow analysis instruction for the target distribution network; the first distribution network supplies power to the second distribution network; a second distribution network power flow analysis module, configured to determine a second power flow analysis model that matches the second distribution network, and perform a power flow analysis on the second distribution network through the second power flow analysis model to obtain the second power grid operation parameters of the second distribution network; a first distribution network power flow analysis module, configured to determine a first power flow analysis model that matches the first distribution network, and perform a power flow analysis on the first distribution network through the first power flow analysis model based on the second power grid operation parameters to obtain the first power grid operation parameters of the first distribution network; and a power flow analysis result generation module, configured to use the first power grid operation parameters and the second power grid operation parameters together as the power flow analysis result of the target distribution network when the power flow analysis stop condition is satisfied.

[0012] In a third aspect, the present application further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented: in response to a power flow analysis instruction for a target distribution network, determine a first distribution network and a second distribution network in the target distribution network; the first distribution network supplies electric energy to the second distribution network; determine a second power flow analysis model matching the second distribution network, and through the second power flow analysis model, perform power flow analysis on the second distribution network to obtain second grid operation parameters of the second distribution network; determine a first power flow analysis model matching the first distribution network, and based on the second grid operation parameters, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain first grid operation parameters of the first distribution network; when the power flow analysis stop condition is satisfied, jointly use the first grid operation parameters and the second grid operation parameters as the power flow analysis result of the target distribution network.

[0013] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: in response to a power flow analysis instruction for a target distribution network, determine a first distribution network and a second distribution network in the target distribution network; the first distribution network supplies electric energy to the second distribution network; determine a second power flow analysis model matching the second distribution network, and through the second power flow analysis model, perform power flow analysis on the second distribution network to obtain second grid operation parameters of the second distribution network; determine a first power flow analysis model matching the first distribution network, and based on the second grid operation parameters, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain first grid operation parameters of the first distribution network; when the power flow analysis stop condition is satisfied, jointly use the first grid operation parameters and the second grid operation parameters as the power flow analysis result of the target distribution network.

[0014] In a fifth aspect, the present application further provides a computer program product, including a computer program. When the computer program is executed by a processor, the following steps are implemented: in response to a power flow analysis instruction for a target distribution network, determine a first distribution network and a second distribution network in the target distribution network; the first distribution network supplies electric energy to the second distribution network; determine a second power flow analysis model matching the second distribution network, and through the second power flow analysis model, perform power flow analysis on the second distribution network to obtain second grid operation parameters of the second distribution network; determine a first power flow analysis model matching the first distribution network, and based on the second grid operation parameters, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain first grid operation parameters of the first distribution network; when the power flow analysis stop condition is satisfied, jointly use the first grid operation parameters and the second grid operation parameters as the power flow analysis result of the target distribution network.

[0015] The above power flow analysis method, device, computer device, computer-readable storage medium, and computer program product for a distribution network, in response to a power flow analysis instruction for a target distribution network, first determine a first distribution network and a second distribution network in the target distribution network, where the first distribution network supplies electric energy to the second distribution network. Then determine a second power flow analysis model matching the second distribution network, and perform power flow analysis on the second distribution network through the second power flow analysis model to obtain second power grid operation parameters of the second distribution network. Next, determine a first power flow analysis model matching the first distribution network, and based on the second power grid operation parameters, perform power flow analysis on the first distribution network through the first power flow analysis model to obtain first power grid operation parameters of the first distribution network. When the power flow analysis stop condition is met, jointly use the first power grid operation parameters and the second power grid operation parameters as the power flow analysis result of the target distribution network. In this way, by performing distributed modeling on the first distribution network and the second distribution network, the global power flow analysis problem is split into the power flow analysis problem of the first distribution network and the power flow analysis problem of the second distribution network. Compared with the traditional centralized power flow analysis method, the solution of the present application can effectively improve the efficiency of power flow analysis when facing a large-scale complex power system. In addition, during the entire power flow analysis process, only a small amount of necessary data needs to be exchanged between the first distribution network and the second distribution network, ensuring data privacy between different distribution networks and thus ensuring the data security of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the description of the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0017] Figure 1 It is an application environment diagram of the power flow analysis method for a distribution network in an embodiment;

[0018] Figure 2 It is a schematic flowchart of the power flow analysis method for a distribution network in an embodiment;

[0019] Figure 3 It is a schematic diagram of the structure of a medium- and low-voltage distribution network in an embodiment;

[0020] Figure 4 It is a schematic flowchart of the power flow analysis of a medium- and low-voltage distribution network in an embodiment;

[0021] Figure 5 It is a schematic flowchart of the power flow analysis of a low-voltage substation area in an embodiment;

[0022] Figure 6Schematic diagram of single-phase and three-phase hybrid modeling of medium and low voltage distribution network in an embodiment;

[0023] Figure 7 Schematic diagram of the process of power flow analysis of medium voltage distribution network in an embodiment;

[0024] Figure 8 Schematic diagram of the process of sensitivity analysis in an embodiment;

[0025] Figure 9 Block diagram of the structure of a power flow analysis device for a distribution network in an embodiment;

[0026] Figure 10 Internal structure diagram of a computer device in an embodiment. Specific implementation manners

[0027] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0028] The power flow analysis method provided by the embodiment of the present application can be applied to an application environment as shown in Figure 1 Among them, the terminal 102 communicates with the server 104 through a network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or can be placed in the cloud or other network servers. The terminal 102 can be, but is not limited to, various personal computers, laptop computers, smart phones, tablet computers and Internet of Things devices. The server 104 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0029] Specifically, in response to the power flow analysis instruction for the target distribution network initiated by the terminal 102, the server 104 first determines a first distribution network and a second distribution network in the target distribution network, and the first distribution network supplies power to the second distribution network. Then, a second power flow analysis model matching the second distribution network is determined, and through the second power flow analysis model, power flow analysis is performed on the second distribution network to obtain the second grid operation parameters of the second distribution network. And a first power flow analysis model matching the first distribution network is determined, and based on the second grid operation parameters, through the first power flow analysis model, power flow analysis is performed on the first distribution network to obtain the first grid operation parameters of the first distribution network. Finally, when the power flow analysis stop condition is met, the first grid operation parameters and the second grid operation parameters are jointly used as the power flow analysis result of the target distribution network.

[0030] In an exemplary embodiment, as shown in Figure 2As shown, a power flow analysis method for a distribution network is provided. Taking the server 104 in Figure 1 as an example, the method includes the following steps:

[0031] Step S202, in response to a power flow analysis instruction for a target distribution network, determine a first distribution network and a second distribution network in the target distribution network; the first distribution network supplies electric energy to the second distribution network.

[0032] Among them, the target distribution network can be a distribution network that needs to perform power flow analysis. It can be understood that the target distribution network can be a medium-voltage and low-voltage distribution network. The medium-voltage and low-voltage distribution network refers to the power distribution network composed of transmission lines, distribution transformers, branch lines, and distribution switchgear, which is formed after the transformation of the output transformer on the high-voltage side of the substation and is distributed and controlled through medium-voltage switchgear. The main function of the medium-voltage and low-voltage distribution network is to transmit electric power from the substation to the user side and is an important part of the power system. It should be noted that in the process of promoting the construction of a new power system, new business forms such as distributed new energy, energy storage, electric vehicles, microgrids, and virtual power plants have entered the stage of large-scale development. The traditional centralized distribution network power flow analysis method faces problems such as large calculation pressure and slow calculation speed. Especially in the medium-voltage and low-voltage distribution network, its informatization and digital construction level are relatively low, and it is faced with the access of a large number of distributed new sources and loads. It is difficult to achieve effective management by traditional methods. Based on this, this embodiment mainly performs power flow analysis on the medium-voltage and low-voltage distribution network. Of course, this embodiment is also applicable to the power flow analysis of other combined distribution networks.

[0033] The power flow analysis instruction refers to an instruction for performing power flow analysis on the target distribution network. Power flow analysis is an important analysis and calculation method in the power system, which is used to determine the steady-state operation state parameters of each part of the power system. Specifically, the power flow calculation is to calculate the distribution of power and voltage in the distribution network. Both the first distribution network and the second distribution network are distribution networks included in the target distribution network. The first distribution network supplies electric energy to the second distribution network, that is to say, the level of the first distribution network is higher than that of the second distribution network. Taking the medium-voltage and low-voltage distribution network as an example, the first distribution network is the medium-voltage distribution network, and the second distribution network is the low-voltage distribution network.

[0034] Exemplarily, when the server receives a power flow analysis instruction for the medium-voltage and low-voltage distribution network, it first determines the medium-voltage distribution network and the low-voltage distribution network in the medium-voltage and low-voltage distribution network. So as to facilitate subsequent targeted power flow analysis of the medium-voltage distribution network and the low-voltage distribution network.

[0035] In some embodiments, the coordinated operation architecture of the medium- and low-voltage distribution network adopts a master-slave star structure. The master-slave star is a network topology structure that includes a central node (master node) and multiple slave nodes, and each slave node is directly connected to the master node. Specifically, there can be a corresponding medium-voltage distribution control center in the medium-voltage distribution network, and there can be at least one low-voltage edge intelligent controller in the low-voltage distribution network because there are at least one low-voltage substation area in the low-voltage distribution network, and each low-voltage substation area has a corresponding low-voltage edge intelligent controller. The medium-voltage distribution control center is the master node, and each low-voltage edge intelligent controller is a slave node, directly connected to the master node to achieve the interaction between the medium-voltage distribution network and the low-voltage distribution network, or rather the interaction between the medium-voltage distribution network and the low-voltage substation area. Among them, the medium-voltage distribution control center, as the central coordination layer, is responsible for real-time monitoring and management of the operation status of the medium-voltage distribution network, and interacts with all connected low-voltage edge intelligent controllers to perform tasks such as power flow calculation, load forecasting, fault diagnosis, and energy optimization scheduling for the entire network. The low-voltage edge intelligent controller is responsible for the management and control of its respective low-voltage substation area, regularly collects distribution data such as voltage, current, and power in the jurisdiction area, manages the controllable resources such as distributed photovoltaics and energy storage inside it, and performs local data processing and intelligent decision-making, such as local power dispatching and optimization based on local power flow calculation and load forecasting, and also accepts instructions from the master node.

[0036] Through the master-slave star structure, the overall power flow analysis problem of the target distribution network can be decomposed into the power flow analysis problem of the medium-voltage distribution network and the power flow analysis problem of the low-voltage distribution network, so as to achieve fast power flow analysis. In the subsequent power flow analysis process, the power flow analysis at the medium-voltage distribution network level will be executed by the medium-voltage distribution control center, and the power flow analysis at the low-voltage distribution network level will be responsible for execution by each low-voltage edge intelligent controller, and necessary data information will be exchanged with each other.

[0037] Step S204, determine a second power flow analysis model matching the second distribution network, and through the second power flow analysis model, perform power flow analysis on the second distribution network to obtain the second power grid operation parameters of the second distribution network.

[0038] Step S206, determine a first power flow analysis model matching the first distribution network, and based on the second power grid operation parameters, perform power flow analysis on the first distribution network through the first power flow analysis model to obtain the first power grid operation parameters of the first distribution network.

[0039] Among them, the second power flow analysis model refers to the power flow analysis model corresponding to the low-voltage distribution network, and the first power flow analysis model refers to the power flow analysis model corresponding to the medium-voltage distribution network. Physically, the medium- and low-voltage distribution network can be divided into a medium-voltage distribution network part, a boundary part, and a low-voltage substation part. The boundary part is an intermediate voltage transformation device, specifically a boundary distribution transformer used to connect the medium-voltage distribution network part and the low-voltage substation part, such as Figure 3 as shown

[0040] In one example, the expression of the first power flow analysis model can be:

[0041]

[0042]

[0043] Among them, the superscript D represents the medium-voltage distribution network part, and the superscript tie represents the boundary part represents the node in the medium-voltage distribution network represents the net power injected by node i into the medium-voltage distribution network. This net power can be equal to the generator power corresponding to node i minus the load power corresponding to node i represents the voltage of node i, specifically the amplitude of the voltage. G represents conductance, B represents susceptance represents the phase angle

[0044] In one example, the expression of the second power flow analysis model can be:

[0045]

[0046]

[0047] Among them represents each low-voltage substation connected to the medium-voltage distribution network D represents the kth low-voltage substation. i is the node in the low-voltage substation k represents the net power injected by node i into the low-voltage substation. Similarly, this net power can be equal to the generator power corresponding to node i minus the load power corresponding to node i represents the voltage of node i. G represents conductance, B represents susceptance represents the phase angle

[0048] In practical applications, a power flow analysis model of the boundary part can also be established, and its expression can be:

[0049]

[0050]

[0051] Among them The nodes representing the boundary part are boundary nodes. It represents the net power injected by the boundary node i into the boundary part, and this net power can be equal to the power of the generator corresponding to the boundary node i minus the load power corresponding to the boundary node i. It represents the voltage of the boundary node i. G represents conductance, and B represents susceptance. It represents the phase angle.

[0052] In some embodiments, the above power flow analysis model can be obtained by converting a generalized calculation model based on power flow analysis. The generalized calculation model of power flow analysis can be an objective function that minimizes the operating cost or power loss of the entire power system by adjusting control variables such as the output of distributed power sources, the charge-discharge state and power of energy storage, etc. And equality constraints and inequality constraints are respectively constructed for the medium-voltage distribution network part, the boundary part, and the low-voltage distribution area part. Among them, the equality constraints can include power balance constraints. The inequality constraints can include node voltage amplitude limit constraints, branch transmission capacity constraints, distributed power source output constraints, energy storage operation constraints, etc. This generalized calculation model is universal for different scenarios of medium- and low-voltage distribution networks. When the objective function is set to zero and only power flow equality constraints are considered, it can be transformed into a distributed model for distributed power flow calculation of medium- and low-voltage distribution networks, that is, the aforementioned first power flow analysis model and second power flow analysis model. For the collaborative optimization scenario of medium- and low-voltage distribution network systems, the objective function can be set to the expected optimization goal, and the equality constraint is the power flow equation model, which can be transformed into a distributed model for collaborative optimization of medium- and low-voltage distribution networks, such as the optimal power flow problem. It should be noted that the boundary part constraints couple the variables of the medium-voltage distribution network part and the low-voltage distribution area part, so decoupling is required. That is, the power flow analysis model of the boundary nodes will be decomposed into the power flow equations of the medium-voltage distribution network and the boundary nodes, and the difference between the power flow equations of the boundary nodes and the low-voltage distribution area part. If this equation holds, the decoupling of the power flow analysis problems of the medium-voltage distribution network part and the low-voltage distribution area part can be realized, and the two parts are solved alternately and iteratively updated.

[0053] Exemplarily, the server determines the first power flow analysis model corresponding to the medium-voltage distribution network and the second power flow analysis model corresponding to the low-voltage distribution network or the low-voltage distribution area. First, through the second power flow analysis model, power flow analysis is performed on the low-voltage distribution area to obtain the net power injected by the low-voltage distribution area, that is, the second power grid operation parameter. This net power is substituted into the first power flow analysis model to perform power flow analysis on the medium-voltage distribution network, and the node voltage, that is, the first power grid operation parameter, can be obtained.

[0054] Of course, in practical applications, the first power grid operation parameter can also include parameters such as the phase angle and the power flow analysis duration of the medium-voltage distribution network, and the second power grid operation parameter can also include parameters such as the power flow analysis duration of the low-voltage distribution area. The specific parameter information is not limited in this embodiment.

[0055] Step S208, when the power flow analysis stop condition is met, use the first power grid operation parameters and the second power grid operation parameters together as the power flow analysis result of the target distribution network.

[0056] The power flow analysis stop condition refers to the prerequisite for stopping the power flow analysis, such as whether the model converges, whether the current iteration count is greater than the maximum iteration count, etc.

[0057] Exemplarily, when the server solves the power flow analysis problem of the medium-voltage distribution network part, that is, after the first power flow analysis model outputs the node voltage, it can further determine whether the power flow analysis stop condition is met. If it is met, the first power grid operation parameters and the second power grid operation parameters can be used together as the power flow analysis result of the target distribution network. These operation parameters can be used as data support for evaluating the operation state of the target distribution network.

[0058] In an exemplary embodiment, the method further includes: when the power flow analysis stop condition is not met, obtain the power flow analysis count; when the power flow analysis count is less than the power flow analysis threshold, use the target distribution network power flow parameters of the first distribution network as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0059] The power flow analysis count can be understood as the current iteration count of the power flow analysis. The power flow analysis threshold is a preset count value, such as 3 times.

[0060] Exemplarily, when the power flow analysis stop condition is not met, such as when the model does not converge, the current iteration count can be further obtained to determine whether it is less than the power flow analysis threshold. If it is less than the power flow analysis threshold, after adding 1 to the current iteration count, determine whether it is greater than the maximum iteration count. If it is greater than the maximum iteration count, end the power flow analysis process. If it is not greater than the maximum iteration count, substitute the currently output first power grid operation parameter, that is, the node voltage, into the second power flow analysis model to solve the power flow analysis problem of the low-voltage station area part, and so on. Use the currently obtained first power grid operation parameters and the second power grid operation parameters together as the power flow analysis result of the target distribution network.

[0061] In an exemplary embodiment, the method further includes: when the power flow analysis count is greater than or equal to the power flow analysis threshold, update the target distribution network power flow parameters based on the intersection point estimation method to obtain the updated power flow parameters; use the updated power flow parameters as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0062] Among them, when the number of power flow analysis is greater than or equal to the power flow analysis threshold, the node voltages obtained in each previous iteration are acquired, coordinate transformation is performed, and the coordinate information corresponding to each node voltage is obtained. The coordinates are cross-connected to obtain cross-connection points. Solving the system of simultaneous equations can obtain the abscissa of the cross-connection points. This abscissa is the variable value for the next iteration. Since cross-connection is required, the number of power flow analysis not only needs to be greater than or equal to the power flow analysis threshold but also needs to be odd. If it is even, it can directly proceed to the next step, that is, after adding one to the number of iterations, it is judged whether it is greater than the maximum number of iterations.

[0063] The power flow analysis based on cross-point estimation can achieve the same accuracy as the Newton-Raphson method based on the global model and the traditional fixed-point iteration method. The number of iterations and the calculation time are reduced by about 40% compared with the traditional fixed-point iteration method, and the convergence order is quadratic. In scenarios where some traditional methods cannot converge, the continuous cross-point estimation method can also converge in fewer steps. Therefore, the power flow analysis based on cross-point estimation performs better in terms of convergence and calculation efficiency. It can not only improve the solution speed and convergence effect of the distributed power flow calculation model for medium- and low-voltage distribution networks but also avoid the situation of gradual divergence of the fixed-point iteration method.

[0064] For example, as Figure 4 shown, first, the medium-voltage distribution control center can set the initial values of the node state variables x tie,d =[ V tie,d , θ tie,d ] , d = 0, the maximum number of iterations is D, and the convergence accuracy is . The low-voltage edge intelligent controller is based on , and through the second power flow analysis model, solves the power flow analysis problem of the low-voltage distribution area and outputs the net power injected into the low-voltage distribution area . This net power is used as the input of the first power flow analysis model, and through the medium-voltage distribution control center, the power flow analysis problem of the medium-voltage distribution network is solved, and the node voltage is output. At this time, the medium-voltage distribution control center judges whether the current output result converges. For example, if both hold, then it converges, meets the power flow analysis stop condition, and ends the process. If at least one of them does not hold, then it does not converge. At this time, the number of power flow analysis, that is, the current iteration number d, is obtained. When the current iteration number d is greater than or equal to the power flow analysis threshold (assumed to be 3) and is odd, the obtained in each previous iteration is acquired, and coordinate transformation is performed to obtain each The corresponding coordinate information is assumed to be points a, b, c, and d. Connect ac and bd respectively to form straight lines, and obtain the cross-connection point e. Solve the simultaneous equations to obtain the abscissa of the cross-connection point e: . This abscissa is the variable value for the next iteration. If the current number of iterations is less than the power flow analysis threshold, let the current number of iterations d = d + 1, and determine whether d is greater than the maximum number of iterations D. If it is greater than the maximum number of iterations D, end the process. If it is not greater than the maximum number of iterations D, then substitute the current into the second power flow analysis model to solve the power flow analysis problem for the low-voltage distribution area.

[0065] In this embodiment, in response to a power flow analysis instruction for a target distribution network, first determine the first distribution network and the second distribution network in the target distribution network, where the first distribution network supplies power to the second distribution network. Then determine the second power flow analysis model matching the second distribution network, and through the second power flow analysis model, perform power flow analysis on the second distribution network to obtain the second grid operation parameters of the second distribution network. Next, determine the first power flow analysis model matching the first distribution network, and based on the second grid operation parameters, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain the first grid operation parameters of the first distribution network. When the power flow analysis stop condition is met, jointly use the first grid operation parameters and the second grid operation parameters as the power flow analysis result of the target distribution network. In this way, by performing distributed modeling on the first distribution network and the second distribution network, the global power flow analysis problem is split into the power flow analysis problem of the first distribution network and the power flow analysis problem of the second distribution network. Compared with the traditional centralized power flow analysis method, this embodiment can effectively improve the efficiency of power flow analysis when facing a large-scale complex power system. In addition, during the entire power flow analysis process, only a small amount of necessary data needs to be exchanged between the first distribution network and the second distribution network, ensuring data privacy between different distribution networks and thus ensuring the data security of the distribution network.

[0066] In an exemplary embodiment, there may be at least one target area in the second distribution network, that is, the low-voltage distribution network. The target area refers to each low-voltage area in the second distribution network. In a power system, an area refers to the power supply range or area of a transformer. Each low-voltage area can be configured with a corresponding intermediate voltage transformation device, that is, a boundary distribution transformer. That is, the number of boundary nodes of each low-voltage area is 1. It should be noted that the boundary node voltage can be fixed and used as the root node voltage of the low-voltage area to perform power flow analysis on the low-voltage area, so as to obtain the net power injected into the low-voltage area. When performing power flow analysis, the medium-voltage distribution control center will first obtain the initial operation parameters of the intermediate voltage transformation device. The initial operation parameters can be understood as the initial values of the boundary node state variables.

[0067] In an exemplary embodiment, such asFigure 5 As shown, through the second power flow analysis model, power flow analysis is performed on the second distribution network to obtain the second grid operation parameters of the second distribution network, including:

[0068] Step S502: Through the second power flow analysis model, based on the initial operation parameters, perform power flow analysis on the target substation area to obtain the target substation area power flow parameters of the target substation area.

[0069] Step S504: Determine the target power that matches the target substation area power flow parameters, and use the target power as the second grid operation parameter.

[0070] Among them, the target substation area power flow parameters can be the state variables corresponding to the target substation area, and the target power refers to the boundary node power.

[0071] Exemplarily, the low-voltage edge intelligent controller substitutes the initial value of the boundary node state variable into the second power flow analysis model to perform power flow analysis on the target substation area, so as to obtain the state variables of the target substation area . Furthermore, the boundary node power is calculated .

[0072] It can be understood that in practical applications, the boundary node power is the active power net injected by the boundary node. In addition, the reactive power Q net injected by the boundary node can also be calculated. This process can be abstracted as: g S ([ V tie , θ tie ])=[ P tie , Q tie ] . Among them, is the power flow analysis problem abstraction operator for the low-voltage substation area part, that is, the mapping from the voltage amplitude of the root node of the low-voltage substation area to the power injected into the root node.

[0073] In some embodiments, since the distribution network often exhibits the characteristic of three-phase asymmetry. Therefore, both the first power flow analysis model and the second power flow analysis model can be modeled in a three-phase form. Specifically, calculations are performed for the data of each phase. The low-voltage edge intelligent controller calculates the power injection of each phase of the boundary node according to the three-phase form model and transmits the result to the medium-voltage distribution control center. The medium-voltage distribution control center performs power flow calculation using the three-phase form model and issues the three-phase voltage data of the boundary node to the low-voltage edge intelligent controller. In this way, the accuracy of the result can be guaranteed to the greatest extent, but the scale of the calculation data volume is large and the solution efficiency is low.

[0074] In some embodiments, the medium-voltage distribution network can also be modeled as single-phase, and all or part of the low-voltage distribution area can be modeled as three-phase. This is applicable to the case where the medium-voltage distribution network and some low-voltage distribution areas have good symmetry. Figure 6 As shown in the schematic diagram of the single-phase and three-phase hybrid modeling of the distribution network, the medium-voltage distribution networks S1 and S2 belong to the single-phase network part, B1 and B2 belong to the boundary part, and the low-voltage distribution areas T1 - T4 belong to the three-phase network part. Among them, T1 has good symmetry and thus is still modeled as single-phase, while T2 - T4 have prominent asymmetry and are modeled as three-phase. At this time, additional calculations need to be performed in the boundary part. For each low-voltage edge intelligent controller, assuming that at the iterative step, the root node voltage is three-phase symmetric, then the three-phase voltage amplitudes are equal, and the phase angles differ by 120° in sequence. The expressions are: ; . Where A, B, and C represent the three phases. For the medium-voltage distribution network control center, the injected power of the boundary node is the sum of the three-phase powers of the low-voltage distribution area, that is: ; . Compared with the previous embodiment, this embodiment can make full use of the characteristic that the distribution system is basically three-phase balanced under certain conditions, and while realizing the distributed power flow calculation of the medium- and low-voltage distribution networks, balance the accuracy of the power flow analysis results and the application feasibility.

[0075] In an exemplary embodiment, as Figure 7 shown, based on the second power grid operation parameters, through the first power flow analysis model, power flow analysis is performed on the first distribution network to obtain the first power grid operation parameters of the first distribution network, including:

[0076] Step S702, based on the target power, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain the target distribution network power flow parameters of the first distribution network.

[0077] Step S704, determine the target voltage that matches the target distribution network power flow parameters, and use the target voltage as the first power grid operation parameter.

[0078] Among them, the target distribution network power flow parameters can be the state variables corresponding to the medium-voltage distribution network, and the target voltage refers to the boundary node voltage.

[0079] Exemplarily, the medium-voltage distribution network control center substitutes the boundary node power into the first power flow analysis model to perform power flow analysis on the medium-voltage distribution network, so as to obtain the state variables of the medium-voltage distribution network, as well as the boundary node state variables .

[0080] It can be understood that in the power flow analysis problem of the medium-voltage distribution network part, the low-voltage substation area is regarded as an equivalent load, and the boundary node power obtained by solving the power flow analysis problem of the low-voltage substation area part is substituted into the first power flow analysis model to solve for the voltage of each boundary node. This process can be abstracted as: g D ([ P tie , Q tie ])=[ V tie , θ tie ] . Among them, is the abstraction operator of the power flow analysis problem of the medium-voltage distribution network part, that is, the mapping from the boundary injection power to the root node voltage. The goal of the integrated power flow calculation of the medium- and low-voltage distribution network is to solve for a [ V tie* , θ tie* ] , such that g D [ g S V tie* , θ tie* ]=[ V tie* , θ tie* ] .

[0081] In an exemplary embodiment, as Figure 8 shown, the method further includes:

[0082] Step S802, obtaining a power interference value and a voltage interference value.

[0083] Step S804, based on the power interference value, performing sensitivity analysis on the first power flow analysis model to obtain the first sensitivity analysis result of the first power flow analysis model.

[0084] Among them, the power interference value is the interference value during the power flow analysis of the medium-voltage distribution network. The voltage interference value is the interference value during the power flow analysis of the target substation area. The first sensitivity analysis result can be used to characterize the sensitivity of the first power flow analysis model, and the manifestation form can be a sensitivity matrix.

[0085] Exemplarily, substituting the boundary node power obtained from the power flow analysis of the substation area [ P i tie,0 , Q i tie,0 ] into the first power flow analysis model, performing power flow analysis on the medium-voltage distribution network, and obtaining the boundary node voltage [ V i tie,1 ,θ i tie,1 ] At this time, to add a very small interference value , from [ P i tie,0 +ΔP, Q i tie,0 ] calculate the power flow of the medium - voltage distribution network part again to obtain the new boundary - node voltage [ V i tie,2 ,θ i tie,2 ] Similarly, to add a very small interference value , from [ P i tie,0 , Q i tie,0 +ΔQ] calculate the power flow of the medium - voltage distribution network part again to obtain the new boundary - node voltage [ V i tie,3 ,θ i tie,3 ] . Among them, i represents the i - th target distribution sub - area.

[0086] The sensitivity matrix at each boundary node, or the expression of the sensitivity matrix of the first power - flow analysis model is:

[0087]

[0088] The expression of the overall sensitivity matrix of the entire medium - voltage distribution network is:

[0089]

[0090] Step S806: Based on the voltage interference value, perform sensitivity analysis on the second power - flow analysis model to obtain the second sensitivity analysis result of the second power - flow analysis model.

[0091] Among them, the first sensitivity analysis result can be used to characterize the sensitivity of the second power - flow analysis model, and the manifestation form can be a sensitivity matrix.

[0092] Exemplarily, for each target distribution sub - area i, from the given initial values of the boundary - node state variables x i tie,0 =[ V i tie,0 , θ i tie,0 ] calculate the power flow of the distribution sub - area once to obtain the boundary - node power [ P i tie,0 , Q i tie,0 ] At this time, add a disturbance value , and from [ V i tie,0 + ΔV, θ i tie,0 ] calculate the power flow of the substation area again to obtain the power of the boundary node [ P i tie,1 , Q i tie,1 ] . Similarly, add a disturbance value , and from [ V i tie,0 , θ i tie,0 +Δθ] calculate the power flow of the substation area again to obtain the power of the boundary node [[ P i tie,2 , Q i tie,2 ] .

[0093] The sensitivity matrix of the target substation area, or the expression of the sensitivity matrix of the second power flow analysis model is:

[0094]

[0095] The expression of the overall sensitivity matrix of all substations is:

[0096]

[0097] where n is the number of low-voltage substations.

[0098] Step S808: According to the first sensitivity analysis result and the second sensitivity analysis result, perform power flow analysis and evaluation on the target distribution network to obtain the power flow analysis and evaluation result of the target distribution network.

[0099] Among them, the power flow analysis and evaluation result can be used to reflect the convergence strength of the integrated power flow calculation of the medium- and low-voltage distribution network, and specifically can be a convergence index.

[0100] Exemplarily, from the sensitivity matrix and the sensitivity matrix the convergence index can be calculated. The calculation expression is: . Among them, can be understood as the sensitivity of the power flow analysis problem of the medium-voltage distribution network part, It can be understood as the sensitivity of the power flow analysis problem in the low-voltage power distribution area. The product of the two is the convergence index. The magnitude of the convergence index value can reflect the strength of the convergence of the integrated power flow calculation of the medium- and low-voltage distribution network. The smaller the convergence index value, the better the convergence.

[0101] In this embodiment, the evaluation method of the distributed model convergence index based on small disturbances can measure the convergence of the power flow analysis model in different scenarios.

[0102] It should be understood that although the steps in the flowcharts involved in the above-described embodiments are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or steps or stages in other steps.

[0103] Based on the same inventive concept, the embodiments of the present application also provide a power distribution network power flow analysis device for implementing the power distribution network power flow analysis method involved above. The implementation solutions provided by this device to solve problems are similar to the implementation solutions described in the above method. Therefore, the specific limitations in one or more embodiments of the power distribution network power flow analysis device provided below can refer to the limitations on the power distribution network power flow analysis method in the above text, and will not be repeated here.

[0104] In an exemplary embodiment, as Figure 9 shown, a power distribution network power flow analysis device is provided, including a power flow analysis instruction acquisition module 902, configured to determine a first power distribution network and a second power distribution network in the target power distribution network in response to a power flow analysis instruction for the target power distribution network; the first power distribution network supplies power to the second power distribution network; a second power distribution network power flow analysis module 904, configured to determine a second power flow analysis model matching the second power distribution network, and perform power flow analysis on the second power distribution network through the second power flow analysis model to obtain second power grid operation parameters of the second power distribution network; a first power distribution network power flow analysis module 906, configured to determine a first power flow analysis model matching the first power distribution network, and based on the second power grid operation parameters, perform power flow analysis on the first power distribution network through the first power flow analysis model to obtain first power grid operation parameters of the first power distribution network; a power flow analysis result generation module 908, configured to, when the power flow analysis stop condition is satisfied, use the first power grid operation parameters and the second power grid operation parameters together as the power flow analysis result of the target power distribution network.

[0105] In one embodiment, the device is further configured to: for at least one target sub-region in the second distribution network, respectively determine an intermediate voltage transformation device matching each target sub-region; the target sub-region is connected to the first distribution network through the intermediate voltage transformation device; obtain initial operation parameters of the intermediate voltage transformation device; the second distribution network power flow analysis module 904 is further configured to: through the second power flow analysis model, based on the initial operation parameters, perform power flow analysis on the target sub-region to obtain target sub-region power flow parameters of the target sub-region; determine a target power matching the target sub-region power flow parameters, and use the target power as the second power grid operation parameter.

[0106] In one embodiment, the first distribution network power flow analysis module 906 is further configured to: based on the target power, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain target distribution network power flow parameters of the first distribution network; determine a target voltage matching the target distribution network power flow parameters, and use the target voltage as the first power grid operation parameter.

[0107] In one embodiment, the device is further configured to: obtain a power interference value and a voltage interference value; based on the power interference value, perform sensitivity analysis on the first power flow analysis model to obtain a first sensitivity analysis result of the first power flow analysis model; based on the voltage interference value, perform sensitivity analysis on the second power flow analysis model to obtain a second sensitivity analysis result of the second power flow analysis model; according to the first sensitivity analysis result and the second sensitivity analysis result, perform power flow analysis and evaluation on the target distribution network to obtain a power flow analysis and evaluation result of the target distribution network.

[0108] In one embodiment, the device is further configured to: when the power flow analysis stop condition is not satisfied, obtain the number of power flow analysis times; when the number of power flow analysis times is less than the power flow analysis threshold, use the target distribution network power flow parameters of the first distribution network as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0109] In one embodiment, the device is further configured to: when the number of power flow analysis times is greater than or equal to the power flow analysis threshold, based on the intersection point estimation method, update the target distribution network power flow parameters to obtain updated power flow parameters; use the updated power flow parameters as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0110] Each module in the above distribution network power flow analysis device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor in the computer device in the form of hardware or be independent of it, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0111] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in Figure 10 . The computer device includes a processor, a memory, an input / output interface (Input / Output, abbreviated as I / O), and a communication interface. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store power distribution network power flow analysis data. 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 through a network connection. When the computer program is executed by the processor, it implements a power distribution network power flow analysis method.

[0112] Those skilled in the art can understand that Figure 10 the structure shown in is only a block diagram of some structures 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 some components, or have different component arrangements.

[0113] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented: in response to a power flow analysis instruction for a target power distribution network, determine a first power distribution network and a second power distribution network in the target power distribution network; the first power distribution network supplies power to the second power distribution network; determine a second power flow analysis model matching the second power distribution network, and through the second power flow analysis model, perform power flow analysis on the second power distribution network to obtain second power grid operation parameters of the second power distribution network; determine a first power flow analysis model matching the first power distribution network, and based on the second power grid operation parameters, through the first power flow analysis model, perform power flow analysis on the first power distribution network to obtain first power grid operation parameters of the first power distribution network; when the power flow analysis stop condition is satisfied, use the first power grid operation parameters and the second power grid operation parameters together as the power flow analysis result of the target power distribution network.

[0114] In one embodiment, when the processor executes the computer program, the following steps are further implemented: for at least one target sub-region in the second distribution network, respectively determine the intermediate transformer device matched with each target sub-region; the target sub-region is connected to the first distribution network through the intermediate transformer device; obtain the initial operation parameters of the intermediate transformer device; through the second power flow analysis model, perform power flow analysis on the second distribution network to obtain the second power grid operation parameters of the second distribution network, including: through the second power flow analysis model, based on the initial operation parameters, perform power flow analysis on the target sub-region to obtain the target sub-region power flow parameters of the target sub-region; determine the target power matched with the target sub-region power flow parameters, and use the target power as the second power grid operation parameter.

[0115] In one embodiment, when the processor executes the computer program, the following steps are further implemented: based on the target power, through the first power flow analysis model, perform power flow analysis on the first distribution network to obtain the target distribution network power flow parameters of the first distribution network; determine the target voltage matched with the target distribution network power flow parameters, and use the target voltage as the first power grid operation parameter.

[0116] In one embodiment, when the processor executes the computer program, the following steps are further implemented: obtain the power interference value and the voltage interference value; based on the power interference value, perform sensitivity analysis on the first power flow analysis model to obtain the first sensitivity analysis result of the first power flow analysis model; based on the voltage interference value, perform sensitivity analysis on the second power flow analysis model to obtain the second sensitivity analysis result of the second power flow analysis model; according to the first sensitivity analysis result and the second sensitivity analysis result, perform power flow analysis evaluation on the target distribution network to obtain the power flow analysis evaluation result of the target distribution network.

[0117] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the power flow analysis stop condition is not satisfied, obtain the power flow analysis times; when the power flow analysis times are less than the power flow analysis threshold, use the target distribution network power flow parameters of the first distribution network as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0118] In one embodiment, when the processor executes the computer program, the following steps are further implemented: when the power flow analysis times are greater than or equal to the power flow analysis threshold, based on the intersection point estimation method, update the target distribution network power flow parameters to obtain the updated power flow parameters; use the updated power flow parameters as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0119] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented: in response to a power flow analysis instruction for a target distribution network, determine a first distribution network and a second distribution network in the target distribution network; the first distribution network supplies electric energy to the second distribution network; determine a second power flow analysis model matching the second distribution network, and through the second power flow analysis model, perform a power flow analysis on the second distribution network to obtain second power grid operation parameters of the second distribution network; determine a first power flow analysis model matching the first distribution network, and based on the second power grid operation parameters, through the first power flow analysis model, perform a power flow analysis on the first distribution network to obtain first power grid operation parameters of the first distribution network; in the case where a power flow analysis stop condition is satisfied, use the first power grid operation parameters and the second power grid operation parameters together as the power flow analysis result of the target distribution network.

[0120] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: for at least one target substation area in the second distribution network, respectively determine an intermediate voltage transformation device matching each target substation area; the target substation area is connected to the first distribution network through the intermediate voltage transformation device; obtain initial operation parameters of the intermediate voltage transformation device; through the second power flow analysis model, perform a power flow analysis on the second distribution network to obtain second power grid operation parameters of the second distribution network, including: through the second power flow analysis model, based on the initial operation parameters, perform a power flow analysis on the target substation area to obtain target substation area power flow parameters of the target substation area; determine a target power matching the target substation area power flow parameters, and use the target power as the second power grid operation parameters.

[0121] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: based on the target power, through the first power flow analysis model, perform a power flow analysis on the first distribution network to obtain target distribution network power flow parameters of the first distribution network; determine a target voltage matching the target distribution network power flow parameters, and use the target voltage as the first power grid operation parameters.

[0122] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtain a power interference value and a voltage interference value; based on the power interference value, perform a sensitivity analysis on the first power flow analysis model to obtain a first sensitivity analysis result of the first power flow analysis model; based on the voltage interference value, perform a sensitivity analysis on the second power flow analysis model to obtain a second sensitivity analysis result of the second power flow analysis model; according to the first sensitivity analysis result and the second sensitivity analysis result, perform a power flow analysis evaluation on the target distribution network to obtain a power flow analysis evaluation result of the target distribution network.

[0123] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: when the power flow analysis stop condition is not satisfied, obtain the number of power flow analysis times; when the number of power flow analysis times is less than the power flow analysis threshold, use the target power flow parameters of the first distribution network as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0124] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: when the number of power flow analysis times is greater than or equal to the power flow analysis threshold, update the target power flow parameters based on the intersection point estimation method to obtain the updated power flow parameters; use the updated power flow parameters as the input of the second power flow analysis model, and perform power flow analysis on the second distribution network.

[0125] In one embodiment, a computer program product is provided, including a computer program, which when executed by a processor, implements the following steps: in response to a power flow analysis instruction for a target distribution network, determine the first distribution network and the second distribution network in the target distribution network; the first distribution network supplies electric energy to the second distribution network; determine a second power flow analysis model matching the second distribution network, and perform power flow analysis on the second distribution network through the second power flow analysis model to obtain the second grid operation parameters of the second distribution network; determine a first power flow analysis model matching the first distribution network, and perform power flow analysis on the first distribution network through the first power flow analysis model based on the second grid operation parameters to obtain the first grid operation parameters of the first distribution network; when the power flow analysis stop condition is satisfied, use the first grid operation parameters and the second grid operation parameters together as the power flow analysis result of the target distribution network.

[0126] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: for at least one target substation area in the second distribution network, respectively determine an intermediate voltage transformation device matching each target substation area; the target substation area is connected to the first distribution network through the intermediate voltage transformation device; obtain the initial operation parameters of the intermediate voltage transformation device; perform power flow analysis on the second distribution network through the second power flow analysis model to obtain the second grid operation parameters of the second distribution network, including: perform power flow analysis on the target substation area through the second power flow analysis model based on the initial operation parameters to obtain the target substation area power flow parameters of the target substation area; determine a target power matching the target substation area power flow parameters, and use the target power as the second grid operation parameters.

[0127] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: perform power flow analysis on the first distribution network through the first power flow analysis model based on the target power to obtain the target power flow parameters of the first distribution network; determine a target voltage matching the target power flow parameters, and use the target voltage as the first grid operation parameters.

[0128] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining a power interference value and a voltage interference value; performing sensitivity analysis on a first power flow analysis model based on the power interference value to obtain a first sensitivity analysis result of the first power flow analysis model; performing sensitivity analysis on a second power flow analysis model based on the voltage interference value to obtain a second sensitivity analysis result of the second power flow analysis model; and performing power flow analysis and evaluation on a target distribution network according to the first sensitivity analysis result and the second sensitivity analysis result to obtain a power flow analysis and evaluation result of the target distribution network.

[0129] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: obtaining the number of power flow analysis times when the power flow analysis stop condition is not satisfied; and performing power flow analysis on a second distribution network by using the target distribution network power flow parameters of a first distribution network as the input of a second power flow analysis model when the number of power flow analysis times is less than a power flow analysis threshold.

[0130] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented: updating the target distribution network power flow parameters based on an intersection point estimation method to obtain updated power flow parameters when the number of power flow analysis times is greater than or equal to the power flow analysis threshold; and performing power flow analysis on a second distribution network by using the updated power flow parameters as the input of a second power flow analysis model.

[0131] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0132] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. 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 methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), 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. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in this application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in this application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0133] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, 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, it should be considered as within the scope recorded in this application.

[0134] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A distribution network power flow analysis method, characterized in that: The method comprises: In response to a power flow analysis instruction for a target distribution network, determining a first distribution network and a second distribution network in the target distribution network; the first distribution network provides electric energy to the second distribution network; Determine a second power flow analysis model that matches the second distribution network, and perform power flow analysis on the second distribution network using the second power flow analysis model to obtain second power grid operation parameters of the second distribution network; Determine a first power flow analysis model that matches the first distribution network, and based on the second power grid operation parameters, perform power flow analysis on the first distribution network through the first power flow analysis model to obtain first power grid operation parameters of the first distribution network; When the power flow analysis stopping condition is met, the first power grid operation parameter and the second power grid operation parameter are used together as the power flow analysis result of the target distribution network.

2. The method according to claim 1, characterized in that The method further comprises: For at least one target substation in the second distribution network, an intermediate transformer device matching each target substation is determined respectively; the target substation is connected to the first distribution network through the intermediate transformer device; Obtaining initial operating parameters of the intermediate transformer; The step of performing power flow analysis on the second distribution network by using the second power flow analysis model to obtain second power grid operation parameters of the second distribution network includes: Using the second power flow analysis model, based on the initial operating parameters, a power flow analysis is performed on the target substation to obtain a target substation power flow parameter of the target substation; A target power matching the target area power flow parameter is determined, and the target power is used as the second power grid operation parameter.

3. The method according to claim 2, characterized in that The step of performing power flow analysis on the first distribution network based on the second power grid operation parameter and using the first power flow analysis model to obtain the first power grid operation parameter of the first distribution network includes: Based on the target power, performing power flow analysis on the first distribution network through the first power flow analysis model to obtain a target distribution network power flow parameter of the first distribution network; A target voltage matching the target power distribution network flow parameter is determined, and the target voltage is used as the first power grid operation parameter.

4. The method according to claim 1, characterized in that: The method further comprises: Obtain power interference value and voltage interference value; Based on the power interference value, performing a sensitivity analysis on the first power flow analysis model to obtain a first sensitivity analysis result of the first power flow analysis model; Based on the voltage interference value, performing a sensitivity analysis on the second power flow analysis model to obtain a second sensitivity analysis result of the second power flow analysis model; According to the first sensitivity analysis result and the second sensitivity analysis result, a power flow analysis and evaluation is performed on the target distribution network to obtain a power flow analysis and evaluation result of the target distribution network.

5. The method according to claim 1, characterized in that The method further comprises: When the stop condition of power flow analysis is not met, obtain the number of power flow analysis times; When the power flow analysis times is less than the power flow analysis threshold, the target distribution network power flow parameter of the first distribution network is used as the input of the second power flow analysis model to perform power flow analysis on the second distribution network.

6. The method according to claim 5, characterized in that The method further comprises: When the number of power flow analysis is greater than or equal to the power flow analysis threshold, based on the intersection estimation method, updating the target distribution network power flow parameter to obtain an updated power flow parameter; The updated power flow parameters are used as input of the second power flow analysis model to perform power flow analysis on the second distribution network.

7. A power flow analysis device for a distribution network, characterized in that: The device comprises: A power flow analysis instruction acquisition module is used to determine a first distribution network and a second distribution network in the target distribution network in response to a power flow analysis instruction for the target distribution network; the first distribution network provides electric energy to the second distribution network; A second distribution network power flow analysis module, used to determine a second power flow analysis model that matches the second distribution network, and perform power flow analysis on the second distribution network through the second power flow analysis model to obtain second power grid operation parameters of the second distribution network; A first distribution network power flow analysis module, used to determine a first power flow analysis model matching the first distribution network, and based on the second power grid operation parameters, perform power flow analysis on the first distribution network through the first power flow analysis model to obtain the first power grid operation parameters of the first distribution network; A power flow analysis result generating module is used to use the first power grid operation parameter and the second power grid operation parameter together as the power flow analysis result of the target distribution network when the power flow analysis stop condition is met.

8. 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.

9. 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.

10. A computer program product, comprising a computer program, 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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