Static risk assessment method and system for power distribution network system

Abstract

The invention discloses a static risk assessment method and system for a power distribution network system, and relates to the technical field of power distribution networks. The method comprises the steps of data acquisition, wind speed influence analysis, sunlight intensity influence analysis and comprehensive risk assessment. According to the invention, multifunctional meteorological monitoring equipment is deployed at key positions of the overhead line, parameters such as wind speed, wind direction, sunlight intensity and environment temperature are synchronously acquired, a multi-dimensional data acquisition system is constructed, and a data foundation is built for risk assessment; a scientific calculation model is applied, conductor galloping and thermal imbalance risks are accurately quantified, and the limitation of single-factor evaluation is avoided. Line risks are divided into high, medium and low levels through comprehensive risk assessment, so that the risk state is clear at a glance; differentiated coping strategies are made according to different risk levels, high risks are maintained preferentially, medium risks are monitored in an enhanced mode, plans are made, low risks are operated and maintained conventionally, and reasonable allocation of resources is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network technology, and in particular to a method and system for static risk assessment of a distribution network system. Background Art

[0002] As the critical link in the power system connecting the transmission network to users, the safe and stable operation of the distribution network is directly related to the normal order of social production and life. Overhead lines, as a major component of the distribution network, are exposed to the natural environment for a long time and are susceptible to various meteorological factors. This increases the risk of line failures, which can cause power outages in serious cases, resulting in economic losses and social impacts.

[0003] Currently, among the meteorological factors that affect the safety of overhead lines in distribution networks, wind speed and direction, sunshine intensity, and ambient temperature are two key factors: Uneven wind speed distribution and specific wind directions (such as strong winds perpendicular to the conductors) can easily cause conductor galloping. Conductor galloping is a low-frequency, large-amplitude self-excited vibration that can cause conductor wear, tower tilt, or even tower collapse, seriously threatening the safety of the line structure. Spatial variations in sunlight intensity can cause uneven heat absorption across conductor sections. Combined with the influence of ambient temperature, this can easily lead to thermal imbalance in the conductors. This thermal imbalance can cause abnormally high conductor temperatures, accelerate insulation aging, and even cause conductor melting, impacting the line's current-carrying capacity and service life.

[0004] Among existing distribution network risk assessment methods, some schemes only analyze risk based on a single meteorological factor (such as wind speed or temperature), resulting in a one-sided assessment dimension and incomplete risk identification. Other schemes, while considering multiple factors, lack quantitative calculations of the impact of each factor and rely heavily on empirical judgment. This results in insufficient risk assessment accuracy and makes it difficult to effectively guide actual operations and maintenance. Furthermore, existing technologies employ risk results in a crude manner, lacking differentiated management and control strategies based on risk levels, which can easily lead to wasted operations and maintenance resources or inadequate control of high-risk areas.

[0005] Therefore, how to comprehensively identify risks such as conductor galloping and thermal imbalance through the precise collection and quantitative analysis of multi-dimensional meteorological parameters, and formulate targeted operation and maintenance measures based on the comprehensive risk level, has become a key requirement for improving the safe operation of overhead lines in distribution networks. Based on this, this paper proposes a static risk assessment method and system for distribution network systems to address the problems of one-sided assessment, insufficient accuracy, and inefficient management and control in existing technologies. Summary of the Invention

[0006] (1) Technical problems solved In view of the deficiencies in the prior art, the present invention provides a method and system for static risk assessment of a distribution network system, which solves the problems mentioned in the above background technology.

[0007] (2) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a static risk assessment method for a distribution network system, comprising the following steps: Step 1: Data collection: Install meteorological monitoring equipment at key locations on each overhead line within the distribution network coverage area; Among them, the meteorological monitoring equipment corresponding to each monitoring point has the function of measuring the meteorological parameters corresponding to wind speed, wind direction, sunshine intensity and ambient temperature; Step 2: Analysis of wind speed impact: Calculate the difference in wind speed at each monitoring point relative to the regional average wind speed. When the wind speed difference exceeds a preset wind difference threshold and the wind direction is within a preset angle range, the corresponding overhead line segment is determined to have a conductor galloping risk. Step 3: Analysis of the impact of sunlight intensity: The difference in sunlight intensity at each monitoring point relative to the regional average is calculated, and combined with the ambient temperature, when the conductor temperature change caused by the difference in sunlight intensity exceeds the preset temperature change threshold, it is determined that the corresponding overhead line section has a thermal imbalance risk; Step 4: Comprehensive risk assessment: The results of wind speed impact analysis and sunshine intensity impact analysis are comprehensively evaluated, and the line section where each monitoring point is located is divided into high, medium and low risk states according to whether the two risks exist at the same time.

[0008] As a further solution of the present invention: for each monitoring point, i.e., a key position of the overhead line, a fixed time interval Δt is set to collect meteorological parameters; At the specified time t, the meteorological parameters collected at the i-th monitoring point are marked as: wind speed V i,t 、wind direction F i,t , sunlight intensity S i,t 、Ambient temperature T i,t ; Where i = 1, 2, ... n, and n represents the total number of meteorological monitoring points in the overhead line area of ​​the distribution network.

[0009] As a further solution of the present invention: the specific method of wind speed impact analysis is as follows: First, by: , calculate the average wind speed VP of the entire distribution network overhead line area at time t t ; Then, by: , calculate the wind speed difference VC of each monitoring point relative to the average wind speed at time t i,t ; Extract the pre-set wind difference threshold and wind direction angle interval; When the wind speed difference VC i,t Exceeds the wind difference threshold and the wind direction F i,t When it is within the wind direction angle range, it is determined that the overhead line section where the monitoring point is located has the risk of conductor galloping.

[0010] As a further solution of the present invention: wherein, the wind direction angle range refers to a range of plus or minus 30 degrees from the vertical direction of the conductor.

[0011] As a further solution of the present invention: the specific method of analyzing the impact of sunlight intensity is as follows: First, by: ;

[0012] Calculate the average sunshine intensity SP of the entire distribution network overhead line area at time t t ; Then, by: ;

[0013] Calculate the sunshine intensity difference SC of each monitoring point at time t relative to the average sunshine intensity i,t ; Extract the pre-set intensity difference threshold and wind direction angle interval; when the sunshine intensity difference SC i,t When the intensity difference threshold is exceeded, combined with the ambient temperature T i,t To assess thermal imbalance risk.

[0014] As a further solution of the present invention: the thermal imbalance risk assessment method is as follows: First, extract the specific heat capacity c, mass m, and absorbed heat Q of the wire; And extract the relationship between them: ; Where ΔT represents the change in conductor temperature due to differences in sunlight intensity; Among them, the heat absorbed by the wire is Q i,t Difference in sunlight intensity SC i,t , the wire irradiated area A is related to the time interval Δt, and its calculation formula is: ; Where η is the solar energy absorption efficiency of the conductor, and it is determined by experiment; Then Q i,t Substituting Q=cmΔT, we obtain: ; That is, the conductor temperature change ΔT caused by the difference in sunlight intensity at the i-th monitoring point at time t is obtained. i,t ; Afterwards, a pre-set temperature change threshold is extracted; When the calculated temperature change ΔT i,tWhen the temperature change threshold is exceeded, it is determined that the overhead line section where the monitoring point is located has a thermal imbalance risk; As a further solution of the present invention: the comprehensive evaluation method is as follows; For each monitoring point: If both conductor galloping risk and thermal imbalance risk exist, the overhead line section where the monitoring point is located is judged to be in a high-risk state; If only one of these risks exists, it is determined to be a medium-risk state; If neither risk exists, the risk is judged to be low.

[0015] As a further solution of the present invention: according to the comprehensive risk assessment results, different measures are taken for overhead line sections in different risk states; For high-risk line sections, personnel will be prioritized for on-site inspection and maintenance, and monitoring frequency will be increased; For line sections with medium risk, appropriately increase the number of monitoring times and formulate corresponding emergency plans; For line sections with low risk, regular monitoring and maintenance plans can be followed.

[0016] (3) Beneficial effects The present invention provides a method and system for static risk assessment of distribution network systems. Compared with the existing technology, it has the following advantages: Comprehensive and Accurate Risk Identification: By installing meteorological monitoring equipment at key locations on overhead lines, we simultaneously collect multi-dimensional meteorological parameters such as wind speed, wind direction, sunlight intensity, and ambient temperature. Combined with scientific calculation models (such as regional average parameters and variance calculations), we accurately assess conductor galloping risk and thermal imbalance risk. The conductor galloping risk assessment considers the synergistic effect of wind speed differences and specific wind directions, while the thermal imbalance risk assessment uses heat conduction formulas to derive temperature changes. This allows for quantitative identification of both key risks, avoiding the limitations of single-factor assessments.

[0017] Systematic, comprehensive risk grading: Conductor gallop risk and thermal imbalance risk are comprehensively assessed, categorized into high, medium, and low risk levels, clearly presenting the overall risk status of each line segment. This grading approach not only integrates risk information from multiple sources but also provides clear priorities for risk management, enabling personnel to intuitively prioritize line risks and improving the systematic nature of risk assessment and decision-making efficiency.

[0018] Targeted risk management measures: Differentiated response strategies are developed based on comprehensive risk levels—high-risk lines are prioritized for inspection and maintenance, medium-risk lines receive enhanced monitoring and contingency plan development, and low-risk lines undergo routine operation and maintenance. This seamlessly integrates risk assessment with actual operations and maintenance. This ensures timely response in high-risk areas, reduces the probability of failure, avoids ineffective resource investment, and improves the economical and targeted operation and maintenance of the distribution network.

[0019] Data support and traceability: By collecting data at fixed intervals and maintaining standardized records, combined with regular equipment calibration, we ensure data accuracy and traceability. This data not only provides a basis for real-time risk assessment but also accumulates valuable experience for subsequent risk trend analysis, equipment performance optimization, and preventive measures, contributing to the continuous optimization of distribution network risk management.

[0020] In summary, the present invention forms a complete closed-loop system from data collection, risk assessment to measure execution, effectively improving the distribution network's early warning capability and control level for meteorological-related risks, and providing strong guarantees for the safe, stable and efficient operation of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a system block diagram of the static risk assessment system for the distribution network system of the present invention.

[0022] Figure 2 It is a flow chart of the static risk assessment method of the distribution network system of the present invention.

[0023] Figure 3 It is a system block diagram of electronic equipment in the static risk assessment system of the distribution network system of the present invention. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] See also Figure 1 and Figure 2 As shown, the embodiment of the present invention provides the following technical solutions: As embodiment 1 of the present invention: The present invention provides a static risk assessment method for a distribution network system, comprising the following steps: Data collection: Meteorological monitoring equipment is installed at key locations on each overhead line within the distribution network coverage area; Wherein, each monitoring point corresponds to a meteorological monitoring device having the function of measuring meteorological parameters corresponding to wind speed and wind direction. In this embodiment, the key position of the overhead line is such as the tower; For each monitoring point, i.e., a key location of the overhead line, a fixed time interval Δt is set to collect meteorological parameters; At the specified time t, the meteorological parameters collected at the i-th monitoring point are marked as: wind speed V i,t , its unit: m / s, wind direction F i,t , its unit: degree; Where i = 1, 2, ... n, n represents the total number of meteorological monitoring points in the overhead line area of ​​the distribution network; In this embodiment, to ensure data accuracy and reliability, the meteorological monitoring equipment is calibrated and maintained at regular intervals (e.g., one month) to ensure that the measurement data error is within an allowable range; At the same time, a data storage system is established to store all collected meteorological data according to the monitoring point number and time sequence for subsequent analysis and use; For example, the data collected by monitoring point 1 at 10:00 on January 1, 2023, such as wind speed v1, 2023-01-01-10, and wind direction F1, 2023-01-01-10, will be stored in the data storage system according to the set rules, making it convenient for subsequent retrieval and analysis at any time; Analysis of wind speed impact: Step A1: Calculation of wind speed distribution: Since wind speeds vary at different monitoring points, in order to accurately assess the impact of wind speed on the conductors, the difference in wind speed at each monitoring point relative to the average wind speed of the entire distribution network overhead line area is calculated as follows: First, by: ;

[0026] Calculate the average wind speed VP of the entire distribution network overhead line area at time t t ; For example, if there are five monitoring points in the overhead line area of ​​the distribution network, at time t, the wind speed at each monitoring point is v 1,t =5 m / s, v 2,t =6 m / s, v 3,t =4 m / s, v 4,t =7 m / s, v 5,t =5 m / s, then the average wind speed m / s; Then, by: ;

[0027] Calculate the wind speed difference VC of each monitoring point relative to the average wind speed at time t i,t ; Taking monitoring point 1 as an example, if v1,t =5 m / s, VP t =5.4 m / s, then m / s; Step A2: Conductor Galloping Risk Assessment: Conductor galloping is caused by factors such as uneven distribution of wind speed and specific wind direction. According to relevant research and practical experience; Extract the pre-set wind difference threshold and wind direction angle interval; When the wind speed difference VC i,t Exceeds the wind difference threshold and the wind direction F i,t If the wind direction angle is within the range, it is determined that the overhead line section where the monitoring point is located has a conductor galloping risk; In this embodiment, the wind direction angle range refers to the range of plus or minus 30 degrees from the vertical direction of the conductor. The wind difference threshold is determined based on factors corresponding to the conductor type and tower structure, and is determined through a large number of experiments and actual operation data statistics. For example: Assume that at the i-th monitoring point, at time t, the wind speed difference VC i,t =6 m / s, wind difference threshold VC th =5 m / s, and the wind direction is F i,t If the value is within the range of plus or minus 30 degrees from the vertical direction of the conductor, then it is determined that the overhead line section where the monitoring point i is located has a conductor galloping risk at time t; In this embodiment, for monitoring points with risk of conductor galloping, the number i, the time t at which the risk of conductor galloping occurs, and the corresponding wind speed difference VC are recorded. i,t and wind direction F i,t , so as to facilitate further analysis and preventive measures; Example 1 installs meteorological monitoring equipment at key locations on overhead lines in the distribution network to specifically collect wind speed and direction parameters. By calculating the regional average wind speed and the wind speed differences at each monitoring point, combined with preset wind difference thresholds and wind direction angle ranges, the risk of conductor galloping can be accurately assessed. This not only enables dynamic monitoring and assessment of conductor galloping risk, but also ensures data accuracy and traceability through regular equipment calibration and the establishment of a data storage system. This provides a reliable basis for subsequent analysis and the development of preventative measures, effectively improving the distribution network's ability to cope with wind speed-related risks and reducing the probability of line failures caused by conductor galloping.

[0028] As the second embodiment of the present invention: In the specific implementation of this application, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that the present embodiment is further implemented through the following steps: Data collection: Within the distribution network coverage area, each monitoring point has corresponding meteorological monitoring equipment with the function of measuring the corresponding meteorological parameters of sunshine intensity and ambient temperature; At the specified time t, the meteorological parameters collected at the i-th monitoring point are marked as: sunshine intensity S i,t , its unit: W / m2, ambient temperature T i,t , its unit: Celsius; Analysis of the impact of sunlight intensity: Step B1: Calculation of sunlight intensity distribution: First, by: ;

[0029] Calculate the average sunshine intensity SP of the entire distribution network overhead line area at time t t ; For example, if there are 5 monitoring points, at time t, the sunshine intensity at each monitoring point is S 1,t =500 watts / square meter, S 2,t =550 watts / square meter, S 3,t =480 W / m², S 4,t =600 watts / square meter, S 5,t =520 W / m²; Then the average sunshine intensity W / m2; Then, by: ;

[0030] Calculate the sunshine intensity difference SC of each monitoring point at time t relative to the average sunshine intensity i,t ; Taking monitoring point 1 as an example, if S 1,t =500 W / m², SP t =530 watts / square meter, then W / m2; Step B2: Thermal Imbalance Risk Assessment: Uneven sunlight intensity will lead to uneven temperature distribution of conductors, thus causing thermal imbalance. According to the heat conduction characteristics of the conductors and actual operating experience; Extracting pre-set intensity difference thresholds and wind direction angle intervals; When the difference in sunlight intensity SC i,t When the intensity difference threshold is exceeded, combined with the ambient temperature T i,t to assess thermal imbalance risks; The thermal imbalance risk assessment method is as follows: First, extract the specific heat capacity c of the wire (unit: joule / (kg·°C), mass m (unit: kilogram), and absorbed heat Q (unit: joule). And extract the relationship between them: ; Where ΔT represents the change in conductor temperature due to differences in sunlight intensity; Among them, the heat absorbed by the wire is Q i,t Difference in sunlight intensity SC i,t , the wire irradiated area A is related to the time interval Δt, and its calculation formula is: ; Where η is the solar energy absorption efficiency of the conductor, and it is determined by experiment; Then Q i,t Substituting Q=cmΔT, we obtain: ; That is, the conductor temperature change ΔT caused by the difference in sunlight intensity at the i-th monitoring point at time t is obtained. i,t ; The strength difference threshold is determined based on factors such as the conductor material and cross-sectional area, and is statistically determined through thermal experiments and actual operating data. For example: Assume that at the i-th monitoring point, at time t, the difference in sunshine intensity SC i,t = 100 W / m², illuminated area of ​​the conductor A = 0.1 m², data collection interval Δt = 600 seconds, solar energy absorption efficiency of the conductor η = 0.8, specific heat capacity of the conductor c = 400 J / (kg·°C), mass m = 5 kg; but degrees Celsius; Afterwards, a preset temperature change threshold is extracted; in this embodiment, the temperature change threshold is predetermined based on factors such as the heat resistance of the wire; When the calculated temperature change ΔT i,t When the temperature change threshold is exceeded, it is determined that the overhead line section where the monitoring point is located has a thermal imbalance risk; In this embodiment, the monitoring point number i, time t, and related parameters where there is a risk of thermal imbalance are recorded for subsequent processing; Example 2 builds on Example 1 by adding sunlight intensity and ambient temperature monitoring. By calculating the average sunlight intensity in the region and the difference in sunlight intensity at each monitoring point, combined with the conductor's thermal conductivity characteristics, it derives the conductor temperature changes caused by the difference in sunlight intensity, thereby assessing the risk of thermal imbalance. This solution overcomes the limitations of single wind speed monitoring, considers the thermal impact of sunlight on conductors, and accurately identifies thermal imbalance risks through scientific formula calculations and threshold determination. It also records relevant risk parameters, providing data support for the thermal stability maintenance of distribution network lines. This helps to prevent problems such as line aging and breakage caused by thermal imbalance, further improving the distribution network risk assessment system.

[0031] As the third embodiment of the present invention: In the specific implementation of this application, compared with Example 1 and Example 2, the technical solution of this embodiment is to combine the solutions of Example 1 and Example 2. The difference between the technical solution of this embodiment and Example 1 and Example 2 is that this embodiment, on the basis of the corresponding solutions of Example 1 and Example 2, further includes the step of comprehensive risk assessment: comprehensively assessing the risk results obtained from the wind speed impact analysis and the sunshine intensity impact analysis. The comprehensive assessment method is as follows: For each monitoring point: If both conductor galloping risk and thermal imbalance risk exist, the overhead line section where the monitoring point is located is judged to be in a high-risk state; If only one of these risks exists, it is determined to be a medium-risk state; If neither risk exists, it is judged to be a low-risk state; The specific judgment rules are presented in table form as follows: Dancing wire risk Thermal imbalance risk Comprehensive risk status exist exist High risk exist does not exist Medium risk does not exist exist Medium risk does not exist does not exist Low risk

[0032] Example 3 combines the conductor galloping risk assessment of Example 1 with the thermal imbalance risk assessment of Example 2. By establishing comprehensive risk assessment rules, line segment risks are classified into three levels: high, medium, and low. This comprehensive assessment approach avoids the one-sidedness of a single risk assessment and comprehensively reflects the overall risk situation faced by a line segment. This allows personnel to more clearly understand the differences in risk levels across different line segments, providing clear priority guidance for subsequent resource allocation and risk management, and improving the systematic nature of distribution network risk assessment and the scientific nature of decision-making.

[0033] As the fourth embodiment of the present invention: In the specific implementation of this application, compared with the first, second and third embodiments, the difference between this embodiment and the first, second and third embodiments is that in this embodiment, based on the corresponding solution of the third embodiment, different measures are taken for overhead line sections in different risk states according to the comprehensive risk assessment results; For high-risk line sections, personnel will be prioritized for on-site inspection and maintenance, and monitoring frequency will be increased; For line sections with medium risk, appropriately increase the number of monitoring times and formulate corresponding emergency plans; For line sections with low risk, regular monitoring and maintenance plans can be followed.

[0034] Example 4 builds on the comprehensive risk assessment of Example 3 and develops differentiated response measures for line segments with different risk levels: high-risk segments receive priority inspection and maintenance, medium-risk segments receive increased monitoring and contingency plans, and low-risk segments receive routine maintenance. This solution closely integrates risk assessment results with actual operation and maintenance measures, transforming risk assessment into risk management. By rationally allocating manpower and resources, it improves the efficiency and relevance of distribution network operation and maintenance, effectively reducing the failure rate of high-risk segments while avoiding the waste of resources caused by excessive maintenance, ensuring the safe and stable operation of the distribution network.

[0035] As the fifth embodiment of the present invention: When the present application is implemented, compared with Example 1, Example 2, Example 3 and Example 4, the technical solution of this embodiment is to combine the solutions of the above-mentioned Example 1, Example 2, Example 3 and Example 4 for implementation.

[0036] Example 5 integrates all the technical solutions of Examples 1 to 4, covering the monitoring of wind speed, wind direction, sunshine intensity, and ambient temperature, the assessment of conductor galloping risk and thermal imbalance risk, the classification of comprehensive risk levels, and the formulation of differentiated response measures. This comprehensive integration forms a complete static risk assessment and management system for the distribution network system, which not only considers the impact of various meteorological factors on the lines, but also achieves full coverage of the process from risk identification and level assessment to measure implementation. It can comprehensively enhance the risk resistance of the distribution network, provide comprehensive technical support for the intelligent and refined operation and maintenance of the distribution network, and maximize the safe and reliable operation of the distribution network.

[0037] It should be stated that all user data collected in this application is collected with the user's consent and authorization, and the use of user data is legal and compliant, and the use and processing of user data complies with the relevant laws, regulations and standards of the relevant regions.

[0038] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0039] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0040] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

[0041] Corresponding to the aforementioned application function implementation method embodiments, the present application also provides electronic devices and corresponding embodiments.

[0042] See also Figure 3 , the electronic device includes a memory and a processor.

[0043] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0044] Memory can include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage. ROM can store static data or instructions required by the processor or other modules of the computer. Permanent storage can be a read-write memory device. Permanent storage can be a non-volatile storage device that retains stored instructions and data even when the computer is powered off. In some embodiments, the permanent storage device uses a mass storage device (such as a magnetic or optical disk, or flash memory). In other embodiments, the permanent storage device can be a removable storage device (such as a floppy disk or optical drive). System memory can be a read-write memory device or a volatile read-write memory device, such as dynamic random access memory. System memory can store some or all instructions and data required by the processor during operation. Furthermore, memory can include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), as well as magnetic disks and / or optical disks. In some embodiments, the memory may include a readable and / or writable removable storage device, such as a compact disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, dual-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, minSD card, Micro-SD card, etc.), a magnetic floppy disk, etc. Computer-readable storage media do not include carrier waves and transient electronic signals transmitted wirelessly or by wire.

[0045] The memory stores executable codes, which, when processed by the processor, can enable the processor to execute part or all of the above-mentioned methods.

[0046] The scheme of the present application has been described in detail above with reference to the accompanying drawings. In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. Those skilled in the art should also be aware that the actions and modules involved in the description are not necessarily required for this application. In addition, it is understood that the steps in the method of the embodiment of the present application can be adjusted in order, combined, and deleted according to actual needs, and the modules in the device of the embodiment of the present application can be combined, divided, and deleted according to actual needs.

[0047] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0048] Alternatively, the present application can also be implemented as a non-transitory machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) on which executable code (or computer program, or computer instruction code) is stored. When the executable code (or computer program, or computer instruction code) is executed by a processor of an electronic device (or electronic device, server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0049] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.

[0050] The flow charts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the system and method according to multiple embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a part for a module, program segment or code, and the part for the module, program segment or code comprises one or more executable instructions for realizing the logical function of the specification. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous boxes can actually be executed substantially in parallel, and they can sometimes also be executed in the opposite order, depending on the functions involved.

[0051] It should also be noted that each box in the block diagrams and / or flowcharts, and combinations of boxes in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0052] The embodiments of the present application have been described above. The above description is illustrative and not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is selected to best explain the principles of the embodiments, their practical applications, or improvements to the technology in the market, or to enable other persons skilled in the art to understand the embodiments disclosed herein.

Claims

1. A static risk assessment method for a distribution network system, characterized in that: The following steps are involved: Data collection: Meteorological monitoring equipment is installed at key locations on each overhead line within the distribution network coverage area; Among them, the meteorological monitoring equipment corresponding to each monitoring point has the function of measuring the meteorological parameters corresponding to wind speed, wind direction, sunshine intensity and ambient temperature; Wind speed impact analysis: Calculate the difference in wind speed at each monitoring point relative to the regional average wind speed. When the wind speed difference exceeds a preset wind difference threshold and the wind direction is within a preset angle range, the corresponding overhead line segment is determined to have a conductor galloping risk. Analysis of the impact of sunlight intensity: Calculate the difference in sunlight intensity at each monitoring point relative to the regional average sunlight intensity. Combined with the ambient temperature, if the conductor temperature change caused by the difference in sunlight intensity exceeds the preset temperature change threshold, the corresponding overhead line section is determined to have a thermal imbalance risk. Comprehensive risk assessment: The results of wind speed impact analysis and sunshine intensity impact analysis are comprehensively evaluated, and the line section where each monitoring point is located is divided into high, medium, and low risk states according to whether the two risks exist at the same time.

2. The method for static risk assessment of a distribution network system according to claim 1, characterized in that: At the specified time t, the meteorological parameters collected at the i-th monitoring point are marked as: wind speed V i,t 、wind direction F i,t , sunlight intensity S i,t 、Ambient temperature T i,t ; Where i = 1, 2, ... n, and n represents the total number of meteorological monitoring points in the overhead line area of ​​the distribution network.

3. The method for static risk assessment of a distribution network system according to claim 2, characterized in that: The specific method of wind speed impact analysis is as follows: First, by: , calculate the average wind speed VP of the entire distribution network overhead line area at time t t ; Then, by: , calculate the wind speed difference VC of each monitoring point relative to the average wind speed at time t i,t ; Extract the pre-set wind difference threshold and wind direction angle interval; When the wind speed difference VC i,t Exceeds the wind difference threshold and the wind direction F i,t When it is within the wind direction angle range, it is determined that the overhead line section where the monitoring point is located has the risk of conductor galloping.

4. The method for static risk assessment of a distribution network system according to claim 3, wherein: in, The wind direction angle range refers to the range of plus or minus 30 degrees from the vertical direction of the conductor.

5. The method for static risk assessment of a distribution network system according to claim 3, wherein: The specific analysis method of sunlight intensity impact is as follows: First, by: ; Calculate the average sunshine intensity SP of the entire distribution network overhead line area at time t t ; Then, by: ; Calculate the sunshine intensity difference SC of each monitoring point at time t relative to the average sunshine intensity i,t ; Extract the pre-set intensity difference threshold and wind direction angle interval, when the sunshine intensity difference SC i,t When the intensity difference threshold is exceeded, combined with the ambient temperature T i,t To assess thermal imbalance risk.

6. The method for static risk assessment of a distribution network system according to claim 5, characterized in that: For each monitoring point, i.e., the key location of the overhead line, a fixed time interval Δt is set to collect meteorological parameters.

7. The method for static risk assessment of a distribution network system according to claim 6, characterized in that: The thermal imbalance risk assessment method is as follows: First, extract the specific heat capacity c, mass m, and absorbed heat Q of the wire; And extract the relationship between them: ; Where ΔT represents the change in conductor temperature due to differences in sunlight intensity; Among them, the heat absorbed by the wire is Q i,t Difference in sunlight intensity SC i,t , the wire irradiated area A is related to the time interval Δt, and its calculation formula is: ; Where η is the solar energy absorption efficiency of the wire, and is determined by experiment; Then Q i,t Substituting Q=cmΔT, we obtain: , that is, the conductor temperature change ΔT caused by the difference in sunlight intensity at the i-th monitoring point at time t is obtained i,t ; After that, the preset temperature change threshold is extracted, and when the calculated temperature change ΔT i,t When the temperature change threshold is exceeded, it is determined that the overhead line section where the monitoring point is located has a thermal imbalance risk.

8. The method for static risk assessment of a distribution network system according to claim 7, characterized in that: The comprehensive assessment method is as follows; For each monitoring point: If both conductor galloping risk and thermal imbalance risk exist, the overhead line section where the monitoring point is located is judged to be in a high-risk state; If only one of these risks exists, it is determined to be a medium-risk state; If neither risk exists, the risk is judged to be low.

9. The method for static risk assessment of a distribution network system according to claim 8, characterized in that: Based on the comprehensive risk assessment results, different measures are taken for overhead line sections in different risk states; For high-risk line sections, personnel will be prioritized for on-site inspection and maintenance, and monitoring frequency will be increased; For line sections with medium risk, increase the number of monitoring times and formulate corresponding prevention plans; For line sections with low risk status, regular monitoring and maintenance plans are carried out.

10. A static risk assessment system for a distribution network system, the system being configured to execute the static risk assessment method for a distribution network system according to any one of claims 1 to 9, characterized in that: The system includes: The data acquisition module is used to install meteorological monitoring equipment at key locations of each overhead line within the distribution network coverage area to collect wind speed, wind direction, sunshine intensity, and ambient temperature parameters; Wind speed impact analysis module, used to calculate wind speed differences and assess conductor galloping risks; Solar radiation intensity impact analysis module, used to calculate solar radiation intensity differences and assess thermal imbalance risks; The comprehensive risk assessment module is used to comprehensively evaluate the results of the wind speed impact analysis module and the sunshine intensity impact analysis module to classify the risk levels and generate response measures corresponding to the risk status.

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