A power distribution network operation risk assessment method and system

Abstract

The present application belongs to the technical field of power distribution network optimization, and particularly relates to a running risk assessment method and system suitable for power distribution network. According to the line historical fault information and the electricity demand law of nodes within a preset period, the present application screens a plurality of risk fault nodes with potential running risks from each running node included in the power distribution network. By combining the historical fault development trend and the electricity demand law, the present application predicts and diagnoses possible faults, issues early warning in time, avoids accidents, and improves the safety of power distribution network work. According to the deviation degree between the target node running data of the risk fault node and the preset running standard, the present application determines the risk running assessment value of the corresponding risk fault node, and performs weighted summation calculation on the determined risk running assessment values. Based on the obtained weighted result, the present application optimizes the power distribution network, and can achieve efficient and accurate fault interference detection effect.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of power distribution network optimization, and particularly relates to a running risk assessment method and system suitable for a power distribution network. BACKGROUND

[0002] The power distribution network refers to a power network that accepts electric energy from a power transmission network or a regional power plant, and distributes the electric energy to various users through power distribution facilities or step by step according to voltages. The power distribution network is composed of overhead lines, cables, towers, distribution transformers, disconnectors, reactive power compensators and some auxiliary facilities, and plays an important role in distributing electric energy in the power network. At present, in order to ensure the safe operation of the power distribution network, commonly used methods include time domain analysis, frequency domain analysis, amplitude domain analysis and the like of nodes. However, due to the instantaneous redundancy of power distribution network data information, it is difficult to distinguish the power distribution network data information through time domain statistical characteristics or spectral characteristics, so it is difficult to realize real safe operation protection. SUMMARY

[0003] In order to solve the above problems, the application provides a running risk assessment method and system suitable for a power distribution network, and the specific technical solutions are as follows.

[0004] A running risk assessment method suitable for a power distribution network, comprising the following steps:

[0005] S1, determining target information indexes of the power distribution network, wherein the target information indexes include line historical fault information, power demand law of nodes in a preset time period and node operation data;

[0006] S2, according to the line historical fault information and the power demand law of nodes in the preset time period, screening a plurality of risk fault nodes with potential running risks from each operation node included in the power distribution network;

[0007] S3, for each risk fault node, acquiring target node operation data of the corresponding risk fault node, and determining a risk running assessment value of the corresponding risk fault node according to a deviation degree between the target node operation data and a preset operation standard;

[0008] S4, performing weighted summation calculation on each risk running assessment value determined to obtain an overall running risk value of the power distribution network, wherein the power distribution network is optimized according to the overall running risk value to ensure the safe operation of the power distribution network.

[0009] Preferably, the step S1 comprises the following steps:

[0010] S11, acquiring initial information indexes of the power distribution network;

[0011] S12, processing the initial information index according to a preset index processing mode to obtain a corresponding target information index, wherein the index processing mode comprises at least one of an invalid data filtering mode for eliminating invalid data containing a preset keyword, an information completion mode for completing missing information, and a noise data processing mode.

[0012] Preferably, the step S2 comprises the following steps:

[0013] S21, determining a historical fault node and a historical power demand law of the historical fault node according to the line historical fault information;

[0014] S22, performing distributed fault assessment detection according to the historical power demand law, real-time operation data of each node, and operation state to obtain a fault prediction result of each node in the power distribution network based on correlation analysis;

[0015] S23, screening a risk fault node according to the fault prediction result of each node based on correlation analysis.

[0016] Preferably, the step S4 comprises the following steps:

[0017] S41, determining a fault occurrence probability of each risk fault node according to the fault prediction result of each node in the power distribution network based on correlation analysis;

[0018] S42, for each risk fault node, assigning a weight value corresponding to a probability value of the corresponding fault occurrence probability;

[0019] S43, performing weighted summation calculation according to each risk operation evaluation value and the corresponding weight value to obtain an overall operation risk value of the power distribution network.

[0020] Preferably, the step S4 further comprises the following steps:

[0021] S5, reminding, warning, suggesting and / or reporting the overall operation risk of the power distribution network through a preset warning device, wherein the warning device comprises at least one of a display screen for comparing and displaying operation risk trends of different time periods through a preset display mode, and an audible and light alarm for emitting an audible and light alarm signal when the overall operation risk value reaches a preset risk threshold.

[0022] Preferably, the step S4 further comprises the following steps:

[0023] S6. According to a plurality of preset time ranges, a corresponding storage area is created, and for the obtained to-be-stored data, according to the time range in which the generation time of the to-be-stored data is located, the to-be-stored data is stored in the target storage area corresponding to the time range, wherein the to-be-stored data includes at least one of real-time operation data of a power distribution network, target information indicators, and overall operation risk states.

[0024] A power distribution network operation risk assessment system, comprising an indicator determination module, a first risk assessment module, a second risk assessment module, and a power distribution network optimization module, wherein:

[0025] The indicator determination module is configured to determine target information indicators of the power distribution network, wherein the target information indicators include line historical fault information, node electricity demand regularity in a preset time period, and node operation data.

[0026] The first risk assessment module is configured to filter out a plurality of risk fault nodes with potential operation risks from each operation node included in the power distribution network according to the line historical fault information and the node electricity demand regularity in the preset time period.

[0027] The second risk assessment module is configured to obtain target node operation data of each risk fault node, and determine a risk operation assessment value of the corresponding risk fault node according to the deviation between the target node operation data and a preset operation standard.

[0028] The power distribution network optimization module is configured to perform weighted summation calculation on the determined risk operation assessment values to obtain an overall operation risk value of the power distribution network, and optimize the power distribution network according to the overall operation risk value to ensure safe operation of the power distribution network.

[0029] Preferably, the indicator determination module is further configured to obtain initial information indicators of the power distribution network, and process the initial information indicators according to a preset indicator processing mode to obtain corresponding target information indicators, wherein the indicator processing mode includes at least one of an invalid data filtering mode for removing invalid data containing a preset keyword, an information completion mode for completing missing information, and a noise data processing mode.

[0030] Preferably, the first risk assessment module is further configured to determine historical fault nodes and historical electricity demand regularity of the historical fault nodes according to the line historical fault information, perform distributed fault assessment detection according to the historical electricity demand regularity, real-time operation data of each node, and operation state to obtain fault prediction results of each node in the power distribution network based on correlation analysis, and perform screening of risk fault nodes according to the fault prediction results of each node based on correlation analysis.

[0031] Preferably, the power distribution network optimization module is further configured to determine the failure occurrence probability of each risk failure node according to the failure prediction result of each node in the power distribution network based on the correlation analysis, assign a weight value corresponding to the probability value of the corresponding failure occurrence probability to each risk failure node, and obtain the overall operation risk value of the power distribution network by performing weighted summation calculation on the risk operation evaluation values and the corresponding weight values.

[0032] The application provides a power distribution network operation risk evaluation method and system, which can filter out multiple risk failure nodes with potential operation risks from each operation node included in the power distribution network according to the historical failure information of the line and the power demand law of the node in a preset time period, predict and diagnose possible failures by combining the historical failure development trend and the power demand law, issue a timely warning to avoid accidents and improve the safety of the power distribution network. In addition, the risk operation evaluation value of each risk failure node is determined according to the deviation between the target node operation data of the risk failure node and the preset operation standard, the risk operation evaluation values are subjected to weighted summation calculation, and the power distribution network is optimized based on the obtained weighted result, so that efficient and accurate failure interference detection effect can be achieved, the false positive rate is reduced, the risk evaluation accuracy is improved, and the safe operation protection of the power distribution network is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0033] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or the prior art description will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.

[0034] Figure 1 The method flowchart of the present application;

[0035] Figure 2 The system principle diagram of the present application. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of the present application.

[0037] It should be understood that the terms "comprises" and "comprising," when used in this specification and the following claims, indicate the presence of the described features, integers, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0038] It should also be understood that the terms used in the specification of the application are only for the purpose of describing particular embodiments and are not intended to limit the application. As used in the specification and the appended claims of the application, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

[0039] It should be further understood that the term "and / or" used in the specification of the application and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes these combinations.

[0040] As shown in the specific embodiments of the application, a method for operating risk assessment suitable for power distribution network is provided, which comprises the following steps: Figure 1

[0041] Step S1, determining the target information index of the power distribution network, the target information index including line historical fault information, node electricity demand law in a preset time period, and node operating data. The target information index of the power distribution network is determined, including:

[0042] Step S11, obtaining the initial information index of the power distribution network.

[0043] Step S12, processing the initial information index according to a preset index processing mode to obtain the corresponding target information index, wherein the index processing mode includes at least one of an invalid data filtering mode for eliminating invalid data containing a preset keyword, an information completion mode for completing missing information, and a noise data processing mode.

[0044] According to the preset index processing mode, the obtained initial information index is processed, which improves the overall operating risk assessment accuracy of the power distribution network under the condition of ensuring the accuracy of the information index.

[0045] Step S2, according to the line historical fault information and the node electricity demand law in a preset time period, screening a plurality of risk fault nodes with potential operating risks from each operating node included in the power distribution network. Including steps:

[0046] Step S21, according to the line historical fault information, determining the historical fault node and the historical electricity demand law of the historical fault node.

[0047] ​Specifically, the causes of line faults include various factors, such as self factors (e.g., equipment aging, etc.), external factors (e.g., human error, natural disasters, etc.), and natural factors (e.g., lightning, typhoon, high temperature). The operating states of different nodes and the potential fault rates are different, the electricity demand law presents periodic changes, and the periodicity can be subdivided into daily, monthly, and annual cycles, and it also has certain randomness, that is, it may be affected by temperature, weather, etc. under certain conditions.

[0048] In step S22, distributed fault assessment detection is performed according to the historical electricity demand law, real-time operating data of each node, and operating state, and a fault prediction result of each node in the power distribution network based on correlation analysis is obtained.

[0049] Specifically, when performing distributed fault assessment detection, the operating risk trend of each node in a future preset period and the fault correlation between nodes can be analyzed according to the historical electricity demand law and the real-time operating data and operating state of each node.

[0050] The risk assessment model can be based on the real-time operating data and real-time operating state of each node as input data, and the input data determined by the risk assessment model can be processed to obtain the corresponding fault prediction result.

[0051] In step S23, the risk fault nodes are screened according to the fault prediction result of each node based on correlation analysis.

[0052] Specifically, when screening the risk fault nodes, the fault prediction values of each node are compared with the preset fault threshold, and based on the obtained comparison result, the risk fault nodes are determined.

[0053] For the target node whose fault prediction value is greater than the preset fault threshold, the target node is set as a risk fault node, and in other cases, the corresponding node is set as a non-risk fault node. In one embodiment, the fault correlation between the related nodes can also be analyzed (for example, whether the short-circuit fault risk of node A exists is directly or indirectly related to node B within a certain range, if so, it is considered that there is a fault correlation between node A and node B), and the related nodes with fault correlation are classified into the same class of risk fault nodes.

[0054] In step S3, for each risk fault node, the target node operating data of the corresponding risk fault node is obtained, and the risk operating evaluation value of the corresponding risk fault node is determined according to the deviation between the target node operating data and the preset operating standard.

[0055] Step S4, the determined risk operation evaluation values are weighted and summed to obtain an overall operation risk value of the power distribution network, wherein the power distribution network is optimized according to the overall operation risk value to ensure the safe operation of the power distribution network. It includes:

[0056] Step S41, according to the failure prediction results of each node in the power distribution network based on the correlation analysis, the failure occurrence probability of each risk failure node is determined.

[0057] In the current embodiment, when the failure prediction results of each node in the power distribution network are obtained based on the above step S22 (wherein the failure prediction results can be understood as the risk degree or probability value of the node covering a certain failure state, etc.), subsequently, the failure occurrence probability of the corresponding risk failure node will be determined according to the proportion of the failure prediction results in the overall risk prediction results of the power distribution network.

[0058] Step S42, for each risk failure node, a weight value corresponding to the probability value is given according to the probability value of the corresponding failure occurrence probability.

[0059] Specifically, when assigning the weight value, in addition to assigning the value adaptively according to the probability value of the corresponding failure occurrence probability A, the maximum weight value and the minimum weight value obtained by the assignment can also be compared, and once it is determined that the difference between the two is greater than the preset difference threshold, the weight assignment is adjusted, for example, the deletion ratio is determined, and the maximum weight value or the minimum weight value taken is adjusted adaptively based on the deletion ratio.

[0060] The above embodiment quickly converges the abnormal weight to the optimal value by dynamically adjusting the assigned weight, avoiding its subsequent impact on the overall operation risk value of the power distribution network, and improving the evaluation accuracy.

[0061] Step S43, according to the risk operation evaluation values and the corresponding weight values, the overall operation risk value of the power distribution network is obtained by weighted summation calculation.

[0062] The operation risk assessment method suitable for the power distribution network can, on one hand, screen out a plurality of risk fault nodes with potential operation risks from each operation node included in the power distribution network according to historical fault information of the line and electricity demand rules of the nodes in a preset time period, timely issue a warning by predicting and diagnosing possible faults by combining the historical fault development trend and the electricity demand rules, and avoid the occurrence of accidents, thereby improving the safety of the power distribution network. On the other hand, the risk operation assessment value of the corresponding risk fault node is determined according to the deviation between the target node operation data of the risk fault node and the preset operation standard, and the risk operation assessment values determined are weighted and summed, and the power distribution network is optimized based on the obtained weighted result, so that efficient and accurate fault interference detection effect can be achieved, the false positive rate is reduced, the risk assessment accuracy is improved, and the safe operation protection of the power distribution network is ensured.

[0063] In one of the embodiments, the method further comprises:

[0064] In step S5, the overall operation risk of the power distribution network is reminded, warned, suggested and / or reported through a preset warning device. The warning device includes at least one of a display screen for comparing and displaying the operation risk trends of different time periods through a preset display mode, and an audible and light alarm for issuing an audible and light alarm signal when the overall operation risk value reaches a preset risk threshold.

[0065] The overall operation risk of the power distribution network can be reported according to a preset report template. The report template further includes a plurality of statistical items, based on which the operation risk trends existing in different time periods can be counted to determine the overall operation risk trend in a preset time period, such as one day or one week.

[0066] When the operation risk trends of different time periods are compared and displayed through the display screen, they can be displayed through a bar chart, a pie chart, a line chart and a pictograph, and the specific display mode is not limited in the embodiments of the application.

[0067] When the warning is performed through the display screen, whether the risk is obvious can be judged based on the comparison result of the operation risk trends of different time periods, and the risk elimination result and the risk triggering factor can be displayed in real time through the display screen. Different types of warning information can be displayed in real time through partition display or display in the same area.

[0068] The overall operation risk of the power distribution network is reminded, warned, suggested and / or reported through the preset warning device, so that the user can timely master the instant operation state of the power distribution network, avoid the occurrence of the situation that the fault occurs without knowing, and improve the user experience.

[0069] In one embodiment, the method further comprises:

[0070] Step S6: Create corresponding storage areas according to multiple preset time ranges, and store the acquired data to be stored in the target storage area corresponding to the time range according to the time range of the generation time of the data to be stored, wherein the data to be stored includes at least one of the real-time operation data of the distribution network, target information indicators and overall operation risk status.

[0071] Specifically, a storage area can be created in a built-in buffer or based on database software. Afterwards, when the time range of the generation time of the corresponding data to be stored is obtained, the target storage area is determined based on the time range, and the data is written to the target storage area to achieve data storage.

[0072] Any data cache node includes at least one hard disk. Before creating a storage area, the capacity information of the hard disk in each data cache node will be obtained in advance, and the storage area will be adaptively divided according to the capacity information, that is, part or the entire storage space of the hard disk will be divided into multiple data storage blocks, and then the distribution network data within the corresponding time range will be stored based on the data storage blocks.

[0073] You can also set a corresponding block tag for each data storage block and associate the block tag with the designated time range. When caching data later, you can quickly locate the required target data storage block based on the bound target block tag.

[0074] The various data to be cached can also be stored based on a unified cache area. During the storage process, the priority between the various data to be cached will be determined based on factors such as the frequency of reading and the preset priority level identifier, and the data will be stored in order based on the priority.

[0075] In the above embodiment, data is partitioned and stored according to the time range of the generation time of the data to be stored, thereby ensuring concurrent access to the partitioned stored data and improving data call efficiency.

[0076] like Figure 2 As shown, a specific embodiment of the present invention further provides an operation risk assessment system 200 applicable to a distribution network. The system 200 includes an indicator determination module 201, a first risk assessment module 202, a second risk assessment module 203, and a distribution network optimization module 204, wherein:

[0077] The indicator determination module 201 is used to determine the target information indicators of the distribution network. The target information indicators include historical fault information of the line, the power demand pattern of the node in a preset time period, and the node operation data.

[0078] The first risk assessment module 202 is configured to screen, from each operating node included in the power distribution network, a plurality of risk failure nodes with potential operating risks according to line historical failure information and electricity demand regularities of the nodes within a preset time period.

[0079] The second risk assessment module 203 is configured to obtain target node operating data of each risk failure node respectively, and determine a risk operating evaluation value of the corresponding risk failure node according to a deviation between the target node operating data and a preset operating standard.

[0080] The power distribution network optimization module 204 is configured to perform weighted summation calculation on the determined risk operating evaluation values to obtain an overall operating risk value of the power distribution network, and optimize the power distribution network according to the overall operating risk value to ensure safe operation of the power distribution network.

[0081] The index determination module 201 is further configured to obtain initial information indexes of the power distribution network, and process the initial information indexes according to a preset index processing mode to obtain corresponding target information indexes, wherein the index processing mode includes at least one of an invalid data filtering mode for eliminating invalid data containing a preset keyword, an information completion mode for completing missing information, and a noise data processing mode.

[0082] The first risk assessment module 202 is further configured to determine historical failure nodes and historical electricity demand regularities of the historical failure nodes according to the line historical failure information, perform distributed failure assessment and detection according to the historical electricity demand regularities, real-time operating data of each node, and operating states to obtain failure prediction results of each node in the power distribution network based on correlation analysis, and screen the risk failure nodes according to the failure prediction results of each node based on correlation analysis.

[0083] The power distribution network optimization module 204 is further configured to determine failure occurrence probabilities of each risk failure node according to the failure prediction results of each node in the power distribution network based on correlation analysis, assign a weight value corresponding to a probability value to each risk failure node according to the probability value of the corresponding failure occurrence probability, and perform weighted summation calculation on the risk operating evaluation values and the corresponding obtained weight values to obtain the overall operating risk value of the power distribution network.

[0084] The system 200 further includes a warning module, wherein the warning module is configured to remind, warn, suggest, and / or report the overall operating risk of the power distribution network through a preset warning device, and the warning device includes at least one of a display screen configured to compare and display operating risk trends of different time periods through a preset display mode, and an audible and light alarm configured to emit an audible and light alarm signal when the overall operating risk value reaches a preset risk threshold.

[0085] The system 200 further comprises a storage module, wherein the storage module is configured to create a corresponding storage area according to each of a plurality of preset time ranges, and store, for the obtained to-be-stored data, the to-be-stored data into a target storage area corresponding to a time range in which a generation time of the to-be-stored data is located, wherein the to-be-stored data comprises at least one of real-time operation data of the power distribution network, target information indicators, and an overall operation risk state.

[0086] The operation risk assessment system for the power distribution network described above, on the one hand, according to the line historical fault information and the power demand law of the nodes in the preset period, from each operation node included in the power distribution network, a plurality of risk fault nodes with potential operation risks are screened out, and the current risk fault nodes are predicted and diagnosed by combining the historical fault development trend and the power demand law, and timely warning is issued to avoid the occurrence of accidents and improve the safety of the power distribution network. In addition, according to the deviation degree between the target node operation data of the risk fault node and the preset operation standard, the risk operation assessment value of the corresponding risk fault node is determined, and the determined risk operation assessment values are weighted and summed, and the obtained weighted result is used to optimize the power distribution network. The current can realize efficient and accurate fault interference detection effect, reduce the false positive rate, improve the risk assessment accuracy, and protect the safe operation of the power distribution network.

[0087] Those skilled in the art can appreciate that the units of the examples described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components of the examples have been described in the above description in general terms. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0088] In the embodiments provided in the present application, it should be understood that the division of units is only a logical functional division, and actual implementation can have another division manner, for example, a plurality of units can be combined into one unit, one unit can be split into a plurality of units, or some features can be ignored, etc.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that the technical solutions recorded in the foregoing embodiments can still be modified, or some or all of the technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the claims and the description of the present application.

Claims

1. A method for operational risk assessment of a power distribution network, characterized in that, The method comprises the following steps: S1, determining target information indicators of the power distribution network, the target information indicators comprising line historical fault information, node electricity demand regularity in a preset time period, and node operation data; S2, screening a plurality of risk fault nodes with potential operation risks from each operation node included in the power distribution network according to the line historical fault information and the node electricity demand regularity in the preset time period; comprising the following steps: S21, determining historical fault nodes and historical electricity demand regularity of the historical fault nodes according to the line historical fault information; S22, performing distributed fault assessment and detection according to the historical electricity demand regularity, real-time operation data of each node, and operation state to obtain fault prediction results of each node in the power distribution network based on correlation analysis; S23, screening the risk fault nodes according to the fault prediction results of each node based on correlation analysis; S3, for each risk fault node, obtaining target node operation data of the corresponding risk fault node, and determining a risk operation evaluation value of the corresponding risk fault node according to a deviation degree between the target node operation data and a preset operation standard; S4, performing weighted summation calculation on each risk operation evaluation value to obtain an overall operation risk value of the power distribution network, wherein the power distribution network is optimized according to the overall operation risk value to ensure safe operation of the power distribution network.

2. The method for operational risk assessment of power distribution network according to claim 1, characterized in that, Step S1 comprises the following steps: S11, obtaining initial information indicators of the power distribution network; S12, processing the initial information indicators according to a preset index processing mode to obtain corresponding target information indicators, wherein the index processing mode comprises at least one of an invalid data filtering mode for eliminating invalid data containing a preset keyword, an information completion mode for completing missing information, and a noise data processing mode.

3. The method for operational risk assessment of power distribution network according to claim 1, characterized in that, Step S4 comprises the following steps: S41, determining a fault occurrence probability of each risk fault node according to the fault prediction results of each node in the power distribution network based on correlation analysis; S42, for each risk fault node, assigning a weight value corresponding to a probability value of the corresponding fault occurrence probability according to the probability value; S43, performing weighted summation calculation on each risk operation evaluation value and the corresponding weight value to obtain an overall operation risk value of the power distribution network.

4. A method for assessing the operation risk of a distribution network according to any one of claims 1 to 3, characterized in that: Further comprising the following steps: S5, reminding, warning, suggesting, and / or reporting the overall operation risk of the power distribution network through a preset early warning device, the early warning device comprising at least one of a display screen for comparing and displaying operation risk trends of different time periods through a preset display mode, and an audible and light alarm for emitting an audible and light alarm signal when the overall operation risk value reaches a preset risk threshold.

5. The method for operational risk assessment of power distribution network according to any one of claims 1-3, characterized in that, Further comprising the following steps: S6. Create corresponding storage areas according to multiple preset time ranges, and for the acquired data to be stored, store the data to be stored in the target storage area corresponding to the time range according to the time range of the generation time of the data to be stored, wherein the data to be stored includes at least one of the real-time operation data of the distribution network, target information indicators and overall operation risk status.

6. A system for operational risk assessment of a power distribution network, characterized in that, Used to implement the method described in any one of claims 1 to 5, comprising an indicator determination module, a first risk assessment module, a second risk assessment module, and a distribution network optimization module, wherein: The indicator determination module is used to determine the target information indicators of the distribution network, wherein the target information indicators include historical fault information of the line, the power demand pattern of the node within a preset time period, and the node operation data; The first risk assessment module is configured to screen out multiple risky fault nodes with potential operational risks from various operating nodes included in the distribution network based on the historical fault information of the line and the power demand patterns of the nodes within a preset time period; the first risk assessment module is further configured to determine the historical fault nodes and the historical power demand patterns of the historical fault nodes based on the historical fault information of the line; perform distributed fault assessment and detection based on the historical power demand patterns, the real-time operating data of each node, and the operating status, to obtain fault prediction results for each node in the distribution network based on correlation analysis; and screen risky fault nodes based on the fault prediction results of each node based on the correlation analysis; The second risk assessment module is configured to obtain, for each risk failure node, target node operating data of the corresponding risk failure node, and determine a risk operation assessment value of the corresponding risk failure node based on a degree of deviation between the target node operating data and a preset operating standard; The distribution network optimization module is used to perform weighted summation calculation on the determined risk operation assessment values ​​to obtain an overall operation risk value of the distribution network, wherein the distribution network is optimized according to the overall operation risk value to ensure the safe operation of the distribution network.

7. The system for operational risk assessment of a power distribution network according to claim 6, wherein, The indicator determination module is also used to obtain initial information indicators of the distribution network; the initial information indicators are processed according to a preset indicator processing method to obtain corresponding target information indicators, wherein the indicator processing method includes at least one of an invalid data filtering method for eliminating invalid data containing preset keywords, an information completion method for completing missing information, and a noise data processing method.

8. The system for operational risk assessment of a power distribution network according to claim 6, wherein, The distribution network optimization module is further configured to determine the probability of failure of each risk failure node based on the failure prediction results of each node in the distribution network based on the correlation analysis; for each risk failure node, a weight value corresponding to the probability value of the corresponding failure probability is assigned; The overall operation risk value of the distribution network is obtained by performing a weighted summation calculation based on the risk operation assessment values ​​and the corresponding weight values.

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