Power distribution network vulnerability influence factor analysis method, system and device and medium

Abstract

The invention belongs to the technical field of urban power distribution networks, and discloses a power distribution network vulnerability influence factor analysis method, system and device and a medium, and the power distribution network vulnerability influence factor analysis method comprises the steps: building a power distribution network model based on a power system simulation technology, and simulating the operation condition of a power distribution network through the power distribution network model; analyzing the influence of load change and distributed power supply access on the vulnerability of the power distribution network to obtain a vulnerability analysis result of the power distribution network; and based on a vulnerability analysis result of the power distribution network, screening key nodes influencing the power distribution network, and optimizing an operation scheduling strategy of the power distribution network according to the key nodes. The influence of the load on the power of the distributed power supply is deeply analyzed, a reasonable power scheduling strategy is formulated, it is guaranteed that the potential capacity of the distributed power supply in the high-load period is fully played, it is guaranteed that power output is effectively adjusted in the low-load period, and overload or low-efficiency operation of a power grid is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of urban distribution network, and in particular to a method, system, device and medium for analyzing factors affecting the vulnerability of a distribution network. Background Art

[0002] The security and sustainability of energy supply have become the focus of global attention. Traditional centralized power systems face a series of challenges in meeting these needs, such as difficulty in achieving redundant power supply and uninterrupted power supply, poor economic benefits, large losses, poor scalability, and poor dynamic response. The introduction of distributed energy access to the grid helps to improve the energy efficiency of the power system and reduce the demand for traditional centralized power sources. It relies on conventional power generation to promote the use of renewable energy, while reducing the system's reliance on large transmission lines and alleviating the burden on the grid.

[0003] Distributed power sources are mainly based on new energy sources such as solar energy and wind energy, and their output fluctuates greatly. This fluctuation is mainly affected by environmental factors such as light intensity and wind speed changes. Once these distributed power sources are connected to the grid, the fluctuation of their output may have a serious impact on the voltage stability and frequency stability of the power system. Compared with the traditional centralized power supply system, a notable feature of distributed power sources is that they are dispersed in different locations of the power system. This distributed layout has led to a fundamental change in the direction of the power system flow, from the original unidirectional flow to a bidirectional flow. This transformation has greatly increased the uncertainty of the system flow, making the traditional centralized power supply analysis method no longer applicable.

[0004] Due to the access and output fluctuations of distributed power sources, the voltage of some nodes in the power system may rise or fall abnormally. Such abnormal voltage fluctuations may have an adverse effect on the stable operation of the power system. Therefore, how to effectively manage and control the output of distributed power sources and ensure the stable operation of the power system is an important challenge facing the current power engineering field. In particular, after distributed photovoltaic power generation is connected to the grid, problems such as excessive voltage deviation will occur, which limits the development of photovoltaic power generation and changes the power flow distribution during normal operation of the distribution network.

[0005] The existing technology has conducted an in-depth discussion on the impact of distributed photovoltaic grid connection, and the conclusion is that distributed photovoltaic grid connection will increase the difficulty of power load forecasting, increase the requirements for distribution networks, cause island operation problems, and have a negative impact on power grid control strategies. However, there is currently a lack of discussion on the access of urban load centers to distributed power sources. Urban load centers refer to areas or facilities in urban power systems where power loads are relatively concentrated and power consumption is large. Generally speaking, urban load centers refer to areas with dense populations and frequent economic activities such as urban commercial areas, industrial areas, and residential areas. They have a large demand for electricity and are important load concentration areas in the power system. After the urban load center distribution network is connected to distributed power sources, it presents new characteristics such as increased voltage and reduced stability. However, the use of traditional specifications and methods to analyze the stability of the power grid in this case is incomplete and non-standard.

[0006] Therefore, how to provide a method, system, device and medium for analyzing factors affecting distribution network vulnerability is an urgent problem to be solved. Summary of the invention

[0007] The embodiments of the present invention provide a method, system, device and medium for analyzing factors affecting the vulnerability of a distribution network, so as to solve the problem of incomplete and non-standard analysis of power grid stability in the prior art.

[0008] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended to be a general review, nor is it intended to identify key / important components or to delineate the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0009] According to a first aspect of an embodiment of the present invention, a method for analyzing factors affecting distribution network vulnerability is provided.

[0010] In one embodiment, the method for analyzing factors affecting distribution network vulnerability includes:

[0011] Establish a distribution network model based on power system simulation technology, and use the distribution network model to simulate the operation of the distribution network;

[0012] Combined with the operation status of the distribution network and the preset vulnerability analysis indicators, the impact of load changes and distributed power access on the vulnerability of the distribution network is analyzed to obtain the vulnerability analysis results of the distribution network;

[0013] Based on the vulnerability analysis results of the distribution network, the key nodes affecting the distribution network are screened, and the operation and dispatching strategy of the distribution network is optimized according to the key nodes.

[0014] In one embodiment, the analysis of the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis index, and obtaining the vulnerability analysis results of the distribution network include:

[0015] Based on the preset vulnerability analysis index, the vulnerability analysis of the distribution network under the active load change is carried out to obtain the vulnerability analysis result of the distribution network under the active load change;

[0016] Based on the preset vulnerability analysis index, the vulnerability analysis of the distribution network under reactive load changes is performed to obtain the vulnerability analysis results of the distribution network under reactive load changes;

[0017] Based on the preset vulnerability analysis indicators, the vulnerability analysis of the distribution network after connecting to the distributed power source is carried out, and the vulnerability analysis results of the distribution network under different distributed power source access conditions are obtained.

[0018] In one embodiment, the vulnerability analysis indicator represents the voltage stiffness between the effective value of the voltage at the maintenance access point in the distribution network and the node no-load voltage value.

[0019] In one embodiment, the voltage stiffness is calculated as follows:

[0020]

[0021] In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It indicates the voltage value of a node in the distribution network when there is no load.

[0022] In one embodiment, the vulnerability analysis of the distribution network under active load changes is performed based on the preset vulnerability analysis index, and the vulnerability analysis result of the distribution network under active load changes is obtained, which includes:

[0023] Based on the distribution network model, the output line voltage of the distributed generation is maintained at a typical value, and after the reactive load of the distribution network node is set to 0, the active load of the distribution network node is adjusted in sequence;

[0024] Calculate the voltage stiffness of distribution network nodes under different active loads, and generate the voltage change trend of distribution network nodes under different active loads based on the voltage stiffness;

[0025] The voltage variation trend of distribution network nodes under different active loads is analyzed, and the vulnerability analysis results of the distribution network under active load changes are obtained.

[0026] In one embodiment, the vulnerability analysis of the distribution network under reactive load changes is performed based on a preset vulnerability analysis index, and the vulnerability analysis result of the distribution network under reactive load changes is obtained, including:

[0027] Based on the distribution network model, the output line voltage of the distributed generation and the active load of the distribution network nodes are maintained at typical values, and the reactive load of the distribution network nodes is adjusted incrementally.

[0028] Calculate the voltage stiffness of distribution network nodes under different reactive loads, and generate the voltage change trend of distribution network nodes under different reactive loads based on the voltage stiffness;

[0029] The voltage variation trend of distribution network nodes under different reactive loads is analyzed, and the vulnerability analysis results of the distribution network under reactive load changes are obtained.

[0030] In one embodiment, the vulnerability analysis of the distribution network connected to the distributed power source is performed based on the preset vulnerability analysis index, and the vulnerability analysis results of the distribution network under different distributed power source access conditions are obtained, including:

[0031] Based on the preset evaluation criteria and load parameters, evaluate the load of the distribution network under different distributed power access conditions;

[0032] Based on the load conditions and load condition weights of the distribution network, the voltage stiffness differences of the distribution network nodes under different distributed generation access conditions are calculated;

[0033] The voltage stiffness differences are analyzed and the vulnerability analysis results of the distribution network under different distributed generation access conditions are obtained.

[0034] According to a second aspect of an embodiment of the present invention, a distribution network vulnerability influencing factor analysis system is provided.

[0035] In one embodiment, the distribution network vulnerability influencing factor analysis system includes:

[0036] An operation simulation module is used to establish a distribution network model based on power system simulation technology, and use the distribution network model to simulate the operation of the distribution network;

[0037] The vulnerability analysis module is used to analyze the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis indicators, and obtain the vulnerability analysis results of the distribution network;

[0038] The distribution network optimization module is used to screen the key nodes that affect the distribution network based on the vulnerability analysis results of the distribution network, and optimize the operation and dispatching strategy of the distribution network according to the key nodes.

[0039] In one embodiment, the vulnerability analysis module includes an active load change analysis module, a reactive load change analysis module and a distributed power supply access analysis module, wherein:

[0040] The active load change analysis module is used to perform a vulnerability analysis on the distribution network under active load changes based on a preset vulnerability analysis index, and obtain a vulnerability analysis result of the distribution network under active load changes;

[0041] The reactive load change analysis module is used to perform a vulnerability analysis on the distribution network under reactive load changes based on a preset vulnerability analysis index, and obtain a vulnerability analysis result of the distribution network under reactive load changes;

[0042] The distributed power access analysis module is used to perform vulnerability analysis on the distribution network connected to the distributed power source based on preset vulnerability analysis indicators, and obtain vulnerability analysis results of the distribution network under different distributed power access conditions.

[0043] In one embodiment, the vulnerability analysis indicator represents the voltage stiffness between the effective value of the voltage at the maintenance access point in the distribution network and the node no-load voltage value.

[0044] In one embodiment, the voltage stiffness is calculated as follows:

[0045]

[0046] In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It indicates the voltage value of a node in the distribution network when there is no load.

[0047] In one embodiment, the active load change analysis module includes an active load configuration module, an active load trend analysis module and an active load analysis result generation module, wherein:

[0048] The active load configuration module is used to maintain the output line voltage of the distributed power source at a typical value based on the distribution network model, and after setting the reactive load of the distribution network node to 0, adjust the active load of the distribution network node in sequence and in increments;

[0049] The active load trend analysis module is used to calculate the voltage stiffness of the distribution network nodes under different active loads, and generate the voltage change trend of the distribution network nodes under different active loads based on the voltage stiffness;

[0050] The active load analysis result generating module is used to analyze the voltage variation trend of the distribution network nodes under different active loads, and obtain the vulnerability analysis result of the distribution network under the active load variation.

[0051] In one embodiment, the reactive load change analysis module includes a reactive load configuration module, a reactive load trend analysis module and a reactive load analysis result generation module, wherein:

[0052] The reactive load configuration module is used to maintain the output line voltage of the distributed power source and the active load of the distribution network node at typical values ​​based on the distribution network model, and to adjust the reactive load of the distribution network node in sequence and in increments;

[0053] The reactive load trend analysis module is used to calculate the voltage stiffness of the distribution network nodes under different reactive loads, and generate the voltage change trend of the distribution network nodes under different reactive loads based on the voltage stiffness;

[0054] The reactive load analysis result generating module is used to analyze the voltage variation trend of the distribution network nodes under different reactive loads, and obtain the vulnerability analysis result of the distribution network under reactive load variation.

[0055] In one embodiment, the distributed power access analysis module includes a load condition analysis module, a voltage stiffness difference analysis module and a power access analysis result generation module, wherein:

[0056] The load condition analysis module is used to evaluate the load condition of the distribution network under different distributed power supply access conditions based on preset evaluation standards and load parameters;

[0057] The voltage stiffness difference analysis module is used to calculate the voltage stiffness difference of the distribution network nodes under different distributed power supply access conditions based on the load conditions of the distribution network and the preset load condition weights;

[0058] The power access analysis result generating module is used to analyze the voltage stiffness difference and obtain the vulnerability analysis results of the distribution network under different distributed power access conditions.

[0059] According to a third aspect of an embodiment of the present invention, a computer device is provided.

[0060] In one embodiment, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0061] According to a fourth aspect of embodiments of the present invention, a computer-readable storage medium is provided.

[0062] In one embodiment, the computer-readable storage medium stores a computer program, and the computer program implements the steps of the above method when executed by a processor.

[0063] The technical solution provided by the embodiment of the present invention may have the following beneficial effects:

[0064] 1. The present invention deeply analyzes the impact of load on the power of distributed power sources and formulates a reasonable power scheduling strategy to ensure that the potential capacity of distributed power sources is fully utilized during high-load periods, and that power output is effectively adjusted during low-load periods to avoid overload or inefficient operation of the power grid.

[0065] 2. By deeply studying the relationship between load changes and distributed power characteristics, the present invention can provide important reference for the planning and design of future urban load center distribution networks, determine the capacity and configuration of distributed power sources, optimize the operation and dispatching strategies of power systems, and promote the sustainable development and application of distributed power technology in urban energy systems.

[0066] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0068] Figure 1 is a flow chart of a method for analyzing factors affecting distribution network vulnerability according to an exemplary embodiment;

[0069] Figure 2 is a principle block diagram of a distribution network vulnerability influencing factor analysis system according to an exemplary embodiment;

[0070] Figure 3 is a structural schematic diagram of a computer device according to an exemplary embodiment;

[0071] Figure 4 It is a Thevenin equivalent principle diagram of a power grid based on a vulnerability analysis index in a method for analyzing factors affecting the vulnerability of a distribution network according to an exemplary embodiment;

[0072] Figure 5 A topological diagram of a distribution network of a city load center used for simulating operation in a method for analyzing factors affecting distribution network vulnerability according to an exemplary embodiment;

[0073] Figure 6 is a schematic diagram of active load change test results in a method for analyzing factors affecting distribution network vulnerability according to an exemplary embodiment;

[0074] Figure 7 is a schematic diagram of reactive load change test results in a method for analyzing factors affecting distribution network vulnerability according to an exemplary embodiment;

[0075] Figure 8 It is a schematic diagram of test results of different access modes of distributed power sources in a method for analyzing factors affecting the vulnerability of a distribution network according to an exemplary embodiment;

[0076] Fig. 9 It is a schematic diagram of difference results of different access modes of distributed power sources according to a method for analyzing factors affecting distribution network vulnerability according to an exemplary embodiment. DETAILED DESCRIPTION

[0077] The following description and accompanying drawings fully illustrate the specific embodiments of this article so that those skilled in the art can practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments of this article includes the entire scope of the claims, as well as all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the structure, device or equipment including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such structure, device or equipment. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the structure, device or equipment including the elements. Each embodiment is described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other.

[0078] The terms "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. in this document indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing this document and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In the description of this document, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, it can also be the internal communication of two elements, it can be a direct connection, or it can be an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0079] As used herein, the term "plurality" means two or more than two, unless otherwise specified.

[0080] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0081] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0082] It should be understood that, although the various steps in the flow chart 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 description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-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 portion of the sub-steps or stages of other steps.

[0083] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above 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 operations corresponding to the above modules.

[0084] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0085] Figure 1 An embodiment of the method for analyzing factors affecting the vulnerability of a distribution network of the present invention is shown.

[0086] In this optional embodiment, the method for analyzing factors affecting distribution network vulnerability includes:

[0087] Step S101: establishing a distribution network model based on power system simulation technology, and using the distribution network model to simulate the operation of the distribution network;

[0088] Step S103: Analyze the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis index, and obtain the vulnerability analysis result of the distribution network;

[0089] Step S105: Based on the vulnerability analysis result of the distribution network, the key nodes that affect the distribution network are screened, and the operation and dispatching strategy of the distribution network is optimized according to the key nodes.

[0090] In this optional embodiment, the analysis of the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis index, and obtaining the vulnerability analysis results of the distribution network include:

[0091] Based on the preset vulnerability analysis indicators, a vulnerability analysis is performed on the distribution network under active load changes, and the vulnerability analysis results of the distribution network under active load changes are obtained; based on the preset vulnerability analysis indicators, a vulnerability analysis is performed on the distribution network under reactive load changes, and the vulnerability analysis results of the distribution network under reactive load changes are obtained; based on the preset vulnerability analysis indicators, a vulnerability analysis is performed on the distribution network after connecting to distributed power sources, and the vulnerability analysis results of the distribution network under different distributed power source access conditions are obtained.

[0092] In this optional embodiment, the vulnerability analysis indicator represents the voltage stiffness between the effective value of the voltage at the maintenance access point in the distribution network and the node no-load voltage value.

[0093] In this optional embodiment, the calculation formula of the voltage stiffness is:

[0094]

[0095] In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It indicates the voltage value of a node in the distribution network when there is no load.

[0096] In this optional embodiment, the vulnerability analysis of the distribution network under active load changes is performed based on the preset vulnerability analysis index, and the vulnerability analysis result of the distribution network under active load changes is obtained, which includes:

[0097] Based on the distribution network model, the output line voltage of the distributed generation is maintained at a typical value, and after the reactive load of the distribution network node is set to 0, the active load of the distribution network node is adjusted incrementally; the voltage stiffness of the distribution network node under different active loads is calculated, and the voltage change trend of the distribution network node under different active loads is generated based on the voltage stiffness; the voltage change trend of the distribution network node under different active loads is analyzed, and the vulnerability analysis results of the distribution network under active load changes are obtained.

[0098] In this optional embodiment, the vulnerability analysis of the distribution network under reactive load changes is performed based on the preset vulnerability analysis index, and the vulnerability analysis result of the distribution network under reactive load changes is obtained, including:

[0099] Based on the distribution network model, the output line voltage of distributed power sources and the active load of distribution network nodes are maintained at typical values, and the reactive load of distribution network nodes is adjusted incrementally. The voltage stiffness of distribution network nodes under different reactive loads is calculated, and the voltage change trend of distribution network nodes under different reactive loads is generated based on the voltage stiffness. The voltage change trend of distribution network nodes under different reactive loads is analyzed, and the vulnerability analysis results of distribution network under reactive load changes are obtained.

[0100] In this optional embodiment, based on the preset vulnerability analysis index, the vulnerability analysis of the distribution network after the distributed power source is connected is performed, and the vulnerability analysis results of the distribution network under different distributed power source access conditions are obtained, including:

[0101] Based on the preset evaluation criteria and load parameters, the load conditions of the distribution network under different distributed power access conditions are evaluated; based on the load conditions and load condition weights of the distribution network, the voltage stiffness differences of the distribution network nodes under different distributed power access conditions are calculated; the voltage stiffness differences are analyzed to obtain the vulnerability analysis results of the distribution network under different distributed power access conditions.

[0102] Figure 2 An embodiment of the distribution network vulnerability influencing factor analysis system of the present invention is shown.

[0103] In this optional embodiment, the distribution network vulnerability influencing factor analysis system includes:

[0104] The operation simulation module 201 is used to establish a distribution network model based on the power system simulation technology, and use the distribution network model to simulate the operation of the distribution network;

[0105] The vulnerability analysis module 203 is used to analyze the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis indicators, and obtain the vulnerability analysis results of the distribution network;

[0106] The distribution network optimization module 205 is used to screen the key nodes that affect the distribution network based on the vulnerability analysis results of the distribution network, and optimize the operation and dispatching strategy of the distribution network according to the key nodes.

[0107] In this optional embodiment, the vulnerability analysis module 203 includes an active load change analysis module (not shown in the figure), a reactive load change analysis module (not shown in the figure) and a distributed power supply access analysis module (not shown in the figure), wherein:

[0108] The active load change analysis module is used to perform a vulnerability analysis on the distribution network under active load changes based on preset vulnerability analysis indicators, and obtain the vulnerability analysis results of the distribution network under active load changes; the reactive load change analysis module is used to perform a vulnerability analysis on the distribution network under reactive load changes based on preset vulnerability analysis indicators, and obtain the vulnerability analysis results of the distribution network under reactive load changes; the distributed power supply access analysis module is used to perform a vulnerability analysis on the distribution network after access to the distributed power supply based on preset vulnerability analysis indicators, and obtain the vulnerability analysis results of the distribution network under different distributed power supply access conditions.

[0109] In this optional embodiment, the vulnerability analysis indicator represents the voltage stiffness between the effective value of the voltage at the maintenance access point in the distribution network and the node no-load voltage value.

[0110] In this optional embodiment, the calculation formula of the voltage stiffness is:

[0111]

[0112] In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It indicates the voltage value of a node in the distribution network when there is no load.

[0113] In this optional embodiment, the active load change analysis module includes an active load configuration module (not shown in the figure), an active load trend analysis module (not shown in the figure) and an active load analysis result generation module (not shown in the figure), wherein:

[0114] The active load configuration module is used to maintain the output line voltage of the distributed power source at a typical value based on the distribution network model, and after setting the reactive load of the distribution network node to 0, adjust the active load of the distribution network node in sequence and incrementally; the active load trend analysis module is used to calculate the voltage stiffness of the distribution network node under different active loads, and generate the voltage change trend of the distribution network node under different active loads based on the voltage stiffness; the active load analysis result generation module is used to analyze the voltage change trend of the distribution network node under different active loads, and obtain the vulnerability analysis result of the distribution network under the change of active load.

[0115] In this optional embodiment, the reactive load change analysis module includes a reactive load configuration module (not shown in the figure), a reactive load trend analysis module (not shown in the figure) and a reactive load analysis result generation module (not shown in the figure), wherein:

[0116] The reactive load configuration module is used to maintain the output line voltage of the distributed power source and the active load of the distribution network node at typical values ​​based on the distribution network model, and to adjust the reactive load of the distribution network node in sequence and incrementally; the reactive load trend analysis module is used to calculate the voltage stiffness of the distribution network node under different reactive loads, and to generate the voltage change trend of the distribution network node under different reactive loads based on the voltage stiffness; the reactive load analysis result generation module is used to analyze the voltage change trend of the distribution network node under different reactive loads, and obtain the vulnerability analysis result of the distribution network under reactive load changes.

[0117] In this optional embodiment, the distributed power access analysis module includes a load condition analysis module (not shown in the figure), a voltage stiffness difference analysis module (not shown in the figure) and a power access analysis result generation module (not shown in the figure), wherein:

[0118] The load condition analysis module is used to evaluate the load condition of the distribution network under different distributed power supply access conditions based on preset evaluation standards and load parameters; the voltage stiffness difference analysis module is used to calculate the voltage stiffness difference of the distribution network nodes under different distributed power supply access conditions based on the load condition of the distribution network and preset load condition weights; the power supply access analysis result generation module is used to analyze the voltage stiffness difference and obtain the vulnerability analysis results of the distribution network under different distributed power supply access conditions.

[0119] The method for analyzing factors affecting distribution network vulnerability provided by the present invention is described in detail below in conjunction with specific implementation methods.

[0120] The present invention aims to analyze the impact of distributed power sources on system vulnerability after being incorporated into the distribution network. By establishing a distribution network model in power simulation software (for example, the power simulation software can be PSCAD, i.e. Power Systems Computer Aided Design, electromagnetic transient simulation software), the operation of the distribution network is simulated to provide data support for subsequent research. The system vulnerability analysis of the distribution network connected to the distributed power source is carried out, the impact of different coupling modes of the distributed power source on the system vulnerability is summarized, the impact of the distributed power source on the system after being connected to the system is obtained, and the main urban loads are screened and identified. The vulnerable nodes of the central distribution network are analyzed, and the operation of the nodes is analyzed to provide new ideas for the development of new power systems and to ensure the smooth connection of distributed energy and the distribution network, thereby improving the reliability, cost-effectiveness and reliability of energy supply.

[0121] In this optional embodiment, factors affecting the vulnerability of the distribution network in the urban load center include:

[0122] The impact of active load changes (active load changes) on the vulnerability of urban load center distribution networks:

[0123] In modern power systems, changes in active load have an important impact on the stability and vulnerability of the system. The increase in active load leads to a decrease in system voltage stability, thereby increasing the vulnerability of the system. First, the increase in active load will lead to a decrease in voltage stability at each node of the distribution network, challenging the voltage regulation capability of the system, and may cause voltage fluctuations and voltage imbalance, thus affecting the normal operation of the distribution network. Second, changes in active load will also affect the interaction between load nodes in the distribution network. Unbalanced load distribution may cause a decrease in voltage stability at some nodes, thus affecting the stability of the entire system.

[0124] Impact of reactive load changes on the vulnerability of urban load center distribution networks:

[0125] In the power system, changes in reactive load also have a significant impact on the stability and vulnerability of the system. Changes in reactive power may cause fluctuations and instability in the system voltage, thereby exacerbating the vulnerability of the system. First, changes in reactive load directly affect the voltage stability of the power system. Reactive power is a key factor in regulating voltage levels. Load changes can lead to unbalanced reactive power demand, which can cause voltage fluctuations and instability, increasing the risk of system vulnerability. Secondly, changes in reactive load may also affect the stability control of the system. When the reactive demand changes, the system needs to adjust the distribution and control of reactive power to maintain voltage stability. However, load changes may cause the system reactive control to fail or be insufficient, which can affect system stability and increase system vulnerability.

[0126] Impact of distributed power supply access on the vulnerability of urban load center distribution networks:

[0127] Due to the popularity of photovoltaic power sources in the distribution network, the power input of the system shows obvious volatility. This feature greatly increases the probability of system collapse and has a serious impact on the vulnerability of the system. The volatility of photovoltaic power generation is mainly affected by factors such as weather conditions and sunshine intensity, which causes its output power to fluctuate from time to time, which in turn causes frequent changes in the power grid and increases the uncertainty of system operation. In addition, distributed power sources are widely distributed at various nodes of the distribution network, causing the power flow mode in the system to change from the traditional unidirectional power flow to a bidirectional power flow. The existence of this bidirectional power flow makes the voltage distribution in the system no longer unidirectional, and the voltage at some nodes may increase or decrease abnormally. This phenomenon may affect the voltage stability in the system, thereby affecting the normal operation of the system. Therefore, the volatility of photovoltaic power generation and the bidirectional power flow of distributed power sources have a significant impact on the vulnerability of the system. It is necessary to analyze the impact of different access conditions of distributed power sources on the vulnerability of the system.

[0128] In this optional embodiment, based on the theoretical infinite capacity power source inspiration, the voltage stability of a specific node in the power system is clearly defined. The vulnerability analysis indicator describes the degree of consistency between the effective value of the voltage at the maintenance access point and the voltage of the node under no load, which is usually expressed by the ratio U sys / U sys0 To express, named voltage stiffness (K vtg ).

[0129] Due to the impact of distributed generation access to the distribution network on the system vulnerability, in order to meet the requirements of reliable power delivery to users. First, a vulnerability analysis index suitable for asynchronous motor power supply, namely voltage support strength, is introduced, and the index is used to perform vulnerability analysis on the distribution network. Secondly, the impact of load changes and distributed generation access on the vulnerability of the urban load center distribution network is discussed, and the key nodes of the vulnerability of the urban load center distribution network are screened. Finally, a node operation analysis is conducted to provide suggestions for the operation of the urban load center distribution network. The analysis is performed in PSCAD using the urban load center distribution network data. Specifically including:

[0130] Vulnerability analysis indicators:

[0131] Usually through the ratio U sys / U sys0 To express, named voltage stiffness (K vtg ). sys and U sys0 Location Figure 4 The Thevenin equivalent circuit of the power grid is shown in Figure 4.

[0132] Depend on Figure 4 It can be seen that the calculation formula of voltage stiffness is:

[0133]

[0134] In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It represents the voltage value of the node in the distribution network when there is no load. Obviously, the voltage stiffness index K vtg The setting value should be between 0 and 1. Figure 4 Middle Z th It represents the equivalent impedance of the fundamental frequency positive sequence network of the distribution network on the other side of the access device after the Thevenin equivalent. When Z th When the voltage stiffness K is zero, vtg The value reaches the maximum, that is, 1; on the contrary, if Z th If the voltage stiffness K increases infinitely, vtg Reduced to the minimum, that is, 0; K vtgThe value approaches 1, indicating that the effectiveness of the node in maintaining the voltage at the access point is significantly enhanced, that is, it is more able to stably maintain the voltage level of the access point when it is not loaded.

[0135] This paper will use this index to analyze the impact of load changes and distributed power access on the vulnerability of the urban load center distribution network. The distribution network model used is as follows: Figure 5 shown.

[0136] When the grid-connected inverter distributed power source is connected to the system, it can be equivalent to a controlled voltage source with a small impedance. Therefore, this simplification is used in modeling to simplify the control process of the grid-connected inverter. In order to analyze the power characteristics of distributed power sources at different coupling positions in the urban load center affected by load changes, the distributed power source A (DGa) is connected to the 10kV bus 2 position, and the distributed power source B (DGa) is connected to the load bus L6 position DGb). The specific coupling position is as follows Figure 5 shown.

[0137] Analysis of factors affecting the vulnerability of urban load center distribution network:

[0138] The present invention determines that the change trend value of the power characteristic of the distributed power source is 380V by respectively adjusting the active load and reactive load of L1, L2, L4, and L6 while maintaining the output line voltage of the distributed power sources DGa and DGb at a typical value.

[0139] In order to verify the feasibility of the analysis method proposed in this example, the vulnerability analysis was carried out using Figure 5 In the distribution network model shown in the figure, the distributed power sources DGa and DGb are connected to the network, and the output line voltage of the distributed power sources DGa and DGb is 380V, the reactive load of L1, L2, L4, and L6 is 0Var, and the active load of L1, L2, L4, and L6 is adjusted to 2MW, 4MW, 6MW, 8MW, and 10MW, respectively. The voltage stiffness K vtg The calculation results are shown in Table 1.

[0140] Table 1: Voltage stiffness data of each node in the distribution network under different active loads

[0141]

[0142] According to statistics, voltage stiffness K vtg The trend of changes with the change of active load is as follows Figure 6 shown.

[0143] According to the presented Table 1 and Figure 6According to the data in , as the active load gradually increases, the voltage stability of each node in the distribution network gradually decreases, and the system vulnerability is obvious. Further comparative analysis of the data of lines L5 and L6 shows that even if the load on a certain line remains unchanged, the increase in active load at other load nodes on the line will significantly affect its voltage stability, causing its vulnerability to be further aggravated. This finding reveals the adverse effects of load increase on the stability of the distribution network and provides suggestions for system operation planning.

[0144] The present invention still uses the distribution network model shown above when performing vulnerability analysis. The distributed power sources DGa and DGb are connected to the network, and the output line voltage of the distributed power sources DGa and DGb is a typical value of 380V. The active load of L1, L2, L4, and L6 is kept at a typical value of 4MW, and the reactive load of L1, L2, L4, and L6 is adjusted to 2MVar, 4MVar, 6MVar, 8MVar, and 10MVar. The voltage stiffness K vtg The calculation results are shown in Table 2.

[0145] Table 2: Voltage stiffness data of each node of the distribution network under different reactive loads

[0146]

[0147] According to statistics, voltage stiffness K vtg The trend of changes with the change of reactive load is as follows Figure 7 shown.

[0148] According to the presented Table 2 and Figure 7 According to the data in , as the reactive load gradually increases, the voltage stability of each node in the distribution network gradually decreases, and the system vulnerability deteriorates significantly. Compared with the change trend of active load changes in the above text, it is found that after experiencing the same amplitude change, the reactive load change has a greater impact on the system's vulnerability, and the voltage stiffness drops more. Further comparative analysis of the data of lines L5 and L6 shows that even if the load on a certain line remains unchanged, the increase in reactive load at other load nodes on the line will significantly affect its voltage stability, causing its vulnerability to be further aggravated.

[0149] In order to study the impact of distributed power access on the vulnerability of urban load centers, the present invention still adopts the Figure 5 The distribution network model is shown in Figure 3. The authors discuss whether the distributed generation sources DGa and DGb are connected to the network at the same time and whether DGa is connected to the network alone. The authors also discuss the vulnerability of each node in the system under different working conditions when DGb is connected to DGb alone or when DGa is not connected to DGb. The load parameters under different working conditions are shown in Table 3.

[0150] Table 3: Load parameters under various working conditions

[0151]

[0152]

[0153] In the process of evaluating each load condition, the evaluation criteria are based on the probability of various load conditions occurring during the operation of the city center, so as to give various load conditions when evaluating different distributed power access conditions. The weights for determining system vulnerability are shown in Table 4.

[0154] Table 4: Weights of various load conditions

[0155] Working conditions Weight 1 0.06 2 0.2 3 0.14 4 0.06 5 0.04 6 0.2 7 0.1 8 0.1 9 0.06 10 0.04

[0156] When evaluating the system vulnerability under different distributed generation access conditions, the voltage stiffness K of each node in the urban load center is calculated using the weights of various load conditions given in Table 4. vtg The calculation results are shown in Table 5.

[0157] The above data were statistically analyzed and the results are as follows Figure 8 shown.

[0158] When four distributed generation sources are connected, the voltage stiffness of L2 is the lowest value among the nodes in the distribution network of the urban load center, that is, L2 is the most vulnerable node in the distribution network of the urban load center.

[0159] Assuming that DGa and DGb are both base values, and using the fact that the voltage stiffness of other distributed power connections is different from this case, the voltage stiffness differences of each node under different distributed power connection conditions are plotted as follows: Fig. 9 As shown in the figure, the larger the value is, the greater the decrease in the voltage stiffness of the node relative to the base value, that is, the more fragile the node is. Negative numbers represent an increase in voltage stiffness and the node fragility is optimized.

[0160] As the active load gradually increases, the voltage stability of each node in the distribution network gradually decreases, and the system vulnerability deteriorates significantly. Even if the load on a certain line remains unchanged, the active load of other load nodes on the line will increase, which will also significantly affect its voltage stability and further aggravate its vulnerability.

[0161] As the reactive load gradually increases, the voltage stability of each node in the distribution network gradually decreases, and the system vulnerability deteriorates significantly. Compared with the active load, after experiencing the same amplitude of reactive load changes, the vulnerability of the system is more affected and the voltage stiffness decreases more. Even if the load on a certain line remains unchanged, the increase in reactive load at other load nodes on the line will significantly affect its voltage stability, further exacerbating its vulnerability.

[0162] For different distributed generation access situations, the change of node vulnerability shows different trends. When only one distributed generation is connected to the system, its impact is usually limited to the line where it is located. For distributed generation connected to the distribution bus, the access of distributed generation at this location will affect all related bus connection access points, resulting in the voltage stiffness K of these access points. vtg Similarly, when the distributed power source loads the bus, it will also affect the voltage stiffness K of all load access points on the line where it is located. vtg . The access point of the distributed generation presents a different trend of change from other nodes on the line. For example, after the distributed generation access point is connected to the distributed generation, the voltage support strength is enhanced and the vulnerability of the node is improved; but due to the access of the distributed generation, the vulnerability of the line node is aggravated and the voltage support strength is reduced. When multiple distributed generation sources are connected to the distribution network at the same time, the scope of influence will be expanded, resulting in the voltage stiffness K of the load access points on all lines connected to the distributed generation access busbar. vtg The change trend is the superposition of the impact when the distributed power source is connected to the grid alone. This shows that the access of distributed power sources will have a certain impact on the voltage stability of the distribution network, especially when multiple power sources are connected at the same time, the impact will be further amplified.

[0163] Load changes directly affect the power output of distributed power sources, which in turn affects the power supply capacity and stability of the power grid. By deeply analyzing the impact of load on the power of distributed power sources, a reasonable power dispatching strategy can be formulated to ensure that the potential capacity of distributed power sources is fully utilized during high-load periods, and that power output is effectively adjusted during low-load periods to avoid overload or inefficient operation of the power grid. By deeply studying the relationship between load changes and the power characteristics of distributed power sources, it can provide an important reference for the planning and design of future urban load center distribution networks. This includes determining the capacity and configuration of distributed power sources, optimizing the operation and dispatching strategies of the power system, and promoting the sustainable development and application of distributed power technology in urban energy systems.

[0164] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. 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 static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

[0165] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention 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.

[0166] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0167] In addition, the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0168] 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 memory, storage, database or other media used in the embodiments provided by the present invention 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 or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. 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).

[0169] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for analyzing factors affecting distribution network vulnerability, characterized in that: include: Establish a distribution network model based on power system simulation technology, and use the distribution network model to simulate the operation of the distribution network; Combined with the operation status of the distribution network and the preset vulnerability analysis indicators, the impact of load changes and distributed power access on the vulnerability of the distribution network is analyzed to obtain the vulnerability analysis results of the distribution network; Based on the vulnerability analysis results of the distribution network, the key nodes affecting the distribution network are screened, and the operation and dispatching strategy of the distribution network is optimized according to the key nodes.

2. The method for analyzing factors affecting distribution network vulnerability according to claim 1, characterized in that: The vulnerability analysis results of the distribution network obtained by analyzing the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis indicators include: Based on the preset vulnerability analysis index, the vulnerability analysis of the distribution network under the active load change is carried out to obtain the vulnerability analysis result of the distribution network under the active load change; Based on the preset vulnerability analysis index, the vulnerability analysis of the distribution network under reactive load changes is performed to obtain the vulnerability analysis results of the distribution network under reactive load changes; Based on the preset vulnerability analysis indicators, the vulnerability analysis of the distribution network after connecting to the distributed power source is carried out, and the vulnerability analysis results of the distribution network under different distributed power source access conditions are obtained.

3. The method for analyzing factors affecting distribution network vulnerability according to claim 2, characterized in that: The vulnerability analysis index represents the voltage stiffness between the effective value of the voltage at the maintenance access point in the distribution network and the node no-load voltage value.

4. The method for analyzing factors affecting distribution network vulnerability according to claim 3 is characterized in that: The calculation formula of the voltage stiffness is: In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It indicates the voltage value of a node in the distribution network when there is no load.

5. The method for analyzing factors affecting distribution network vulnerability according to claim 4 is characterized in that: The vulnerability analysis of the distribution network under active load changes based on the preset vulnerability analysis index is performed to obtain the vulnerability analysis results of the distribution network under active load changes, including: Based on the distribution network model, the output line voltage of the distributed generation is maintained at a typical value, and after the reactive load of the distribution network node is set to 0, the active load of the distribution network node is adjusted in sequence; Calculate the voltage stiffness of distribution network nodes under different active loads, and generate the voltage change trend of distribution network nodes under different active loads based on the voltage stiffness; The voltage variation trend of distribution network nodes under different active loads is analyzed, and the vulnerability analysis results of the distribution network under active load changes are obtained.

6. The method for analyzing factors affecting distribution network vulnerability according to claim 5, characterized in that: The vulnerability analysis of the distribution network under reactive load changes is performed based on the preset vulnerability analysis index, and the vulnerability analysis results of the distribution network under reactive load changes are obtained, including: Based on the distribution network model, the output line voltage of the distributed generation and the active load of the distribution network nodes are maintained at typical values, and the reactive load of the distribution network nodes is adjusted incrementally. Calculate the voltage stiffness of distribution network nodes under different reactive loads, and generate the voltage change trend of distribution network nodes under different reactive loads based on the voltage stiffness; The voltage variation trend of distribution network nodes under different reactive loads is analyzed, and the vulnerability analysis results of the distribution network under reactive load changes are obtained.

7. The method for analyzing factors affecting distribution network vulnerability according to claim 6, characterized in that: Based on the preset vulnerability analysis index, the vulnerability analysis of the distribution network after the distributed power source is connected is performed, and the vulnerability analysis results of the distribution network under different distributed power source access conditions are obtained, including: Based on the preset evaluation criteria and load parameters, evaluate the load of the distribution network under different distributed power access conditions; Based on the load conditions and load condition weights of the distribution network, the voltage stiffness differences of the distribution network nodes under different distributed generation access conditions are calculated; The voltage stiffness differences are analyzed and the vulnerability analysis results of the distribution network under different distributed generation access conditions are obtained.

8. A distribution network vulnerability influencing factor analysis system, characterized in that: include: An operation simulation module is used to establish a distribution network model based on power system simulation technology, and use the distribution network model to simulate the operation of the distribution network; The vulnerability analysis module is used to analyze the impact of load changes and distributed power access on the vulnerability of the distribution network in combination with the operation status of the distribution network and the preset vulnerability analysis indicators, and obtain the vulnerability analysis results of the distribution network; The distribution network optimization module is used to screen the key nodes that affect the distribution network based on the vulnerability analysis results of the distribution network, and optimize the operation and dispatching strategy of the distribution network according to the key nodes.

9. The distribution network vulnerability influencing factor analysis system according to claim 8, characterized in that: The vulnerability analysis module includes an active load change analysis module, a reactive load change analysis module and a distributed power supply access analysis module, wherein: The active load change analysis module is used to perform a vulnerability analysis on the distribution network under active load changes based on a preset vulnerability analysis index, and obtain a vulnerability analysis result of the distribution network under active load changes; The reactive load change analysis module is used to perform a vulnerability analysis on the distribution network under reactive load changes based on a preset vulnerability analysis index, and obtain a vulnerability analysis result of the distribution network under reactive load changes; The distributed power access analysis module is used to perform vulnerability analysis on the distribution network connected to the distributed power source based on preset vulnerability analysis indicators, and obtain vulnerability analysis results of the distribution network under different distributed power access conditions.

10. The distribution network vulnerability influencing factor analysis system according to claim 9, characterized in that: The vulnerability analysis index represents the voltage stiffness between the effective value of the voltage at the maintenance access point in the distribution network and the node no-load voltage value.

11. The distribution network vulnerability influencing factor analysis system according to claim 10, characterized in that: The calculation formula of the voltage stiffness is: In the formula, K vtg Indicates voltage stiffness; U sys Indicates the effective value of the voltage at the maintenance access point in the distribution network; U sys0 It indicates the voltage value of a node in the distribution network when there is no load.

12. The distribution network vulnerability influencing factor analysis system according to claim 11, characterized in that: The active load change analysis module includes an active load configuration module, an active load trend analysis module and an active load analysis result generation module, wherein: The active load configuration module is used to maintain the output line voltage of the distributed power source at a typical value based on the distribution network model, and after setting the reactive load of the distribution network node to 0, adjust the active load of the distribution network node in sequence and in increments; The active load trend analysis module is used to calculate the voltage stiffness of the distribution network nodes under different active loads, and generate the voltage change trend of the distribution network nodes under different active loads based on the voltage stiffness; The active load analysis result generating module is used to analyze the voltage variation trend of the distribution network nodes under different active loads, and obtain the vulnerability analysis result of the distribution network under the active load variation.

13. The distribution network vulnerability influencing factor analysis system according to claim 12, characterized in that: The reactive load change analysis module includes a reactive load configuration module, a reactive load trend analysis module and a reactive load analysis result generation module, wherein: The reactive load configuration module is used to maintain the output line voltage of the distributed power source and the active load of the distribution network node at typical values ​​based on the distribution network model, and to adjust the reactive load of the distribution network node in sequence and in increments; The reactive load trend analysis module is used to calculate the voltage stiffness of the distribution network nodes under different reactive loads, and generate the voltage change trend of the distribution network nodes under different reactive loads based on the voltage stiffness; The reactive load analysis result generating module is used to analyze the voltage variation trend of the distribution network nodes under different reactive loads, and obtain the vulnerability analysis result of the distribution network under reactive load variation.

14. The distribution network vulnerability influencing factor analysis system according to claim 13, characterized in that: The distributed power access analysis module includes a load condition analysis module, a voltage stiffness difference analysis module and a power access analysis result generation module, wherein: The load condition analysis module is used to evaluate the load condition of the distribution network under different distributed power supply access conditions based on preset evaluation standards and load parameters; The voltage stiffness difference analysis module is used to calculate the voltage stiffness difference of the distribution network nodes under different distributed power supply access conditions based on the load conditions of the distribution network and the preset load condition weights; The power access analysis result generating module is used to analyze the voltage stiffness difference and obtain the vulnerability analysis results of the distribution network under different distributed power access conditions.

15. 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 7 are implemented.

16. 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 7 are implemented.

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