Operation and maintenance risk assessment method and equipment for distributed photovoltaic access power distribution network

Abstract

The embodiment of the invention provides an operation and maintenance risk assessment method and equipment for a distributed photovoltaic access power distribution network. The method comprises the following steps: acquiring a current operation and maintenance power-related risk index of the distributed photovoltaic access power distribution network; and according to the current operation inspection power-related risk index and a pre-constructed operation inspection risk evaluation system, obtaining an operation inspection risk evaluation result of the distributed photovoltaic access power distribution network. According to the method, the operation maintenance risk evaluation system is pre-constructed through risk index extraction, quantitative evaluation of the operation maintenance risk of the power distribution network is realized, decision makers can timely know and manage the operation maintenance risk and carry out risk early warning in real time, operation maintenance personnel can timely take measures, accidents are prevented, and the operation maintenance efficiency of the power distribution network is improved. And the reliability and safety of power distribution network operation are improved. Through comprehensive analysis of multi-source data, operation and maintenance risk characteristics of the distributed photovoltaic access power distribution network are fully mined, a data-driven risk management method is provided, and scientificity and predictability of operation and maintenance work are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic operation and inspection technology, and in particular to an operation and inspection risk assessment method and device for distributed photovoltaic access to a distribution network. Background Art

[0002] With the transformation of the global energy structure and the continuous development of renewable energy technology, the scaled access of distributed photovoltaic power generation systems in distribution networks is increasing. Distributed photovoltaic systems have the advantages of decentralized energy, flexible installation, low carbon and environmental protection, but they also bring new challenges and risks in the process of large-scale access to distribution networks, especially in the operation and maintenance link. The operation and maintenance safety of distribution networks involves many aspects, including the stability of equipment, the operating status of the system, and the operation of operation and maintenance personnel. Therefore, how to accurately identify, evaluate and manage the operation and maintenance risks of distributed photovoltaic access to distribution networks has become an important issue facing the current power industry.

[0003] When assessing operation and inspection risks, existing technologies usually lack a systematic description of the time series of accidents and their correlations, and fail to make full use of multi-source data for comprehensive analysis. In particular, when dealing with complex scenarios related to distributed photovoltaic systems, existing methods may fail to fully consider the interactive relationships of various influencing factors. Summary of the invention

[0004] The embodiments of the present invention provide a method and device for assessing the operation and inspection risks of distributed photovoltaic access to a distribution network, which realizes the quantitative assessment of the operation and inspection risks of the distribution network and helps decision makers to understand and manage the operation and inspection risks in a timely manner.

[0005] In a first aspect, an embodiment of the present invention provides a method for assessing the operation and inspection risk of a distributed photovoltaic access distribution network, comprising:

[0006] Obtain the current operation and inspection-related power risk indicators of distributed photovoltaic access to the distribution network;

[0007] According to the current operation and inspection electricity-related risk indicators and the pre-built operation and inspection risk assessment system, an operation and inspection risk assessment result of the distributed photovoltaic access distribution network is obtained.

[0008] In a second aspect, an embodiment of the present invention provides an electronic device, including:

[0009] at least one processor; and

[0010] a memory communicatively connected to the at least one processor; wherein,

[0011] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the operation and inspection risk assessment method for distributed photovoltaic access to the distribution network as described in the first aspect embodiment.

[0012] The embodiment of the present invention provides a method and device for assessing the operation and inspection risks of distributed photovoltaic access to the distribution network. The method includes: obtaining the current operation and inspection risk indicators of the distributed photovoltaic access to the distribution network; obtaining the operation and inspection risk assessment results of the distributed photovoltaic access to the distribution network according to the current operation and inspection risk indicators and the pre-constructed operation and inspection risk assessment system. The above technical scheme constructs the operation and inspection risk assessment system in advance through risk indicators. Through the pre-constructed operation and inspection risk assessment system and the current operation and inspection risk indicators, the current operation and inspection risk of the distribution network can be assessed, and the quantitative assessment of the operation and inspection risks of the distribution network is realized, which helps decision makers to understand and manage the operation and inspection risks in a timely manner. The real-time risk warning and prevention and control measures information push function enables the operation and inspection personnel to take measures in time to prevent accidents and improve the reliability and safety of the distribution network operation. Through the comprehensive analysis of multi-source data, the operation and inspection risk characteristics of the distributed photovoltaic access to the distribution network are fully explored, and a data-driven risk management method is provided to effectively improve the scientificity and predictability of the operation and inspection work.

[0013] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0015] Figure 1 A schematic diagram of a flow chart of a method for risk assessment of large-scale distributed photovoltaic access to a distribution network provided in the first embodiment of the present invention;

[0016] Figure 2 A schematic diagram of a process for constructing an operation and inspection risk assessment system in an operation and inspection risk assessment method for large-scale access of distributed photovoltaic power generation to a distribution network provided in the first embodiment of the present invention;

[0017] Figure 3 A schematic diagram of the structure of an operation and inspection risk assessment device for large-scale access of distributed photovoltaic power generation to a distribution network provided in Embodiment 2 of the present invention;

[0018] Figure 4 A schematic diagram of the structure of an electronic device provided in Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0019] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 creative work should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "original", "target", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0021] Embodiment 1

[0022] Figure 1 The present invention provides a flow chart of a method for risk assessment of distributed photovoltaic access to distribution network. The method is applicable to the case of risk assessment of distributed photovoltaic access to distribution network. The method can be performed by a risk assessment device for distributed photovoltaic access to distribution network. The device can be implemented in the form of hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the operation and inspection risk assessment method for large-scale access of distributed photovoltaic power generation to a distribution network provided in the first embodiment may specifically include the following steps:

[0023] S101. Obtain the current operation and inspection-related power risk indicators of distributed photovoltaic access to the distribution network.

[0024] Among them, an electricity-related accident refers to a safety accident related to electricity, and an operation and inspection electricity-related risk index refers to a risk index that causes an electricity-related accident. In this embodiment, the operation and inspection electricity-related risk index of the distributed photovoltaic access to the distribution network at the current moment is marked as the current operation and inspection electricity-related risk index. In this embodiment, the operation and inspection risk of the distributed photovoltaic access to the distribution network is evaluated through the pre-constructed operation and inspection risk evaluation system and the current operation and inspection electricity-related risk index. This step is used to obtain the current operation and inspection electricity-related risk index of the distributed photovoltaic access to the distribution network. The current operation and inspection electricity-related risk index should cover the risk indicators that affect the distributed photovoltaic access to the distribution network, such as the environment, the operation of the grid and the equipment status, and the human aspects. For example, personnel indicators include: such as the operator's training level, operating experience, behavioral habits, etc.; equipment indicators include: such as the operating status of the equipment, maintenance records, failure rate, etc.; grid operation indicators include: such as grid load, voltage level, equipment utilization, etc.; environmental indicators include: such as climate conditions, environmental pollution, physical environment, etc.; management indicators include: such as the implementation of the operation and inspection plan, management processes, rules and regulations, etc. For example, the current situation of various risk indicators such as the current weather factors, the operating status of the power grid, and the personnel information is obtained, which is then used to conduct an operation and maintenance risk assessment of the distribution network in combination with a pre-built operation and maintenance risk assessment system.

[0025] S102. Obtain an operation and inspection risk assessment result for the distributed photovoltaic access to the distribution network based on the current operation and inspection power-related risk indicators and the pre-built operation and inspection risk assessment system.

[0026] In this embodiment, the historical electricity-related accident data of distributed photovoltaic access to the distribution network is obtained in advance, and by analyzing the historical electricity-related accident data, a system for quantitatively evaluating the operation and inspection risks of the distribution network is recorded as the operation and inspection risk evaluation system. The steps of pre-constructing the operation and inspection risk evaluation system can be described as: obtaining various factors that affect the operation and inspection safety of the distributed photovoltaic access distribution network, such as the physical equipment status, the grid operation status, the personnel operation process, the environmental conditions, etc., respectively analyzing the above factors to obtain the main influencing factors and related influencing factors, extracting the main characteristics of the operation and inspection electricity-related risk indicators, combining the electricity-related accident data and safety-related influencing factors, and obtaining multi-dimensional risk indicators. These indicators cover dimensions such as personnel, equipment, operation, environment and management. According to the causes of the operation and inspection risks, the risk weights in the multi-dimensional risk indicators are obtained, and a risk evaluation system is constructed. The evaluation system is used to quantify and evaluate various types of operation and inspection risks. Based on the risk evaluation system, real-time risk warnings are carried out, and corresponding prevention and control measures information is pushed to achieve comprehensive management of the distribution network operation and inspection electricity-related risks.

[0027] In this embodiment, based on the pre-built operation and inspection risk assessment system, a targeted analysis of the distributed photovoltaic access to the distribution network can be performed to obtain an overall risk assessment. Specifically, based on the current operation and inspection-related electricity risk indicators and the pre-built operation and inspection risk assessment system, the operation and inspection risk assessment results of the distributed photovoltaic access to the distribution network are obtained. The operation and inspection risk assessment results can include an early warning of the distribution network operation and inspection-related electricity risk, and can further push prevention and control measures information for the current operation and inspection-related electricity risk warning based on the pre-built operation and inspection-related electricity accident prevention and control strategy library.

[0028] The above technical solution builds an operation and inspection risk assessment system in advance through risk indicators. Through the pre-built operation and inspection risk assessment system and the current operation and inspection-related power risk indicators, the current operation and inspection risk assessment of the distribution network can be carried out, realizing the quantitative assessment of the operation and inspection risks of the distribution network, which helps decision makers to understand and manage the operation and inspection risks in a timely manner. The real-time risk warning and prevention and control measures information push function enables the operation and inspection personnel to take timely measures to prevent accidents and improve the reliability and safety of the distribution network operation. Through the comprehensive analysis of multi-source data, the operation and inspection risk characteristics of distributed photovoltaic access to the distribution network are fully explored, providing a data-driven risk management method, and effectively improving the scientificity and predictability of the operation and inspection work.

[0029] Figure 2 A schematic diagram of a flow chart of constructing an operation and inspection risk assessment system in an operation and inspection risk assessment method for large-scale access of distributed photovoltaic power generation to a distribution network provided in the first embodiment of the present invention, such as Figure 2 As shown, as an optional embodiment of the embodiment of the present invention, on the basis of the above embodiment, the steps of constructing the operation and inspection risk evaluation system can be optimized, including:

[0030] S201. Construct at least one electricity-related scenario chain based on the historical electricity-related accident data of distributed photovoltaic access to the distribution network.

[0031] In this embodiment, the data of power-related accidents of distributed photovoltaic access to the distribution network are collected and recorded as historical power-related accident data. Relevant information is extracted from multiple historical power-related accident data of distributed photovoltaic access to the distribution network to construct a power-related scenario chain. The power-related scenario chain is used to describe the time series of different accidents and their correlation, which provides a basis for the subsequent determination of the evolution process of power-related accidents.

[0032] As a specific implementation method, the steps of constructing at least one electricity-related scenario chain can be optimized based on the historical electricity-related accident data of distributed photovoltaic access to the distribution network, including:

[0033] a1) According to historical power-related accident data, at least one power-related accident information and the accident type corresponding to the power-related accident information are obtained.

[0034] In this embodiment, the power-related accident data of distributed photovoltaic access to the distribution network are collected, which include detailed records of various power-related accidents. The information of each power-related accident is extracted from the power-related accident data, and the accident type corresponding to each accident is determined based on the information.

[0035] b1) Classifying each power-related accident information according to the accident type to obtain at least one power-related accident classification set.

[0036] In this embodiment, a plurality of power-related accident information is classified according to the accident type to form a plurality of power-related accident classification sets, and similar types of accident information are aggregated together.

[0037] c1) For each piece of power-related accident information, extract at least one scenario node in the power-related accident information.

[0038] The scenario node refers to a key event or state in the process of an accident, such as an equipment failure node, an operation error node, etc. Specifically, multiple scenario nodes are extracted from each power-related accident information.

[0039] d1) Determine the time sequence of each scenario node contained in each power-related accident information.

[0040] In this embodiment, the time sequence of each scenario node is determined to form a time series of each scenario node, thereby ensuring the integrity of the time chain of each accident information and providing a basis for the construction of the scenario chain.

[0041] e1) Determine the relevant scenario nodes in each power-related accident classification set.

[0042] In this embodiment, scenario nodes that appear repeatedly or are similar in different accidents are identified from a plurality of power-related accident classification sets as relevant scenario nodes.

[0043] f1) According to the time sequence of each scenario node contained in each power-related accident information, the relevant scenario nodes are associated to construct an power-related scenario chain.

[0044] In this embodiment, the relevant scenario nodes are associated according to the time sequence in each accident information to construct an electricity-related scenario chain. The scenario chain is used to describe the occurrence process of electricity-related accidents and their associations, forming a systematic accident chain. Through the construction of the electricity-related scenario chain, the electricity-related accident process of distributed photovoltaic access to the distribution network can be comprehensively and systematically described, and the cause-effect relationship and time sequence of the accident can be clearly displayed. The classification and processing of electricity-related accident information can more accurately identify the characteristics and commonalities of different types of accidents, which is helpful for the targeted formulation of prevention and control strategies. By extracting scenario nodes and determining the time sequence, the accident data can be analyzed in multiple dimensions, including time, location, event type, etc., providing rich data support for risk assessment.

[0045] For example, when a power outage occurs in a certain place, an alarm will be issued. This is regarded as a starting point in the scenario chain. Then, maintenance personnel will be dispatched. After the maintenance personnel arrive at the scene, they find that the scenario node is bad weather, which causes the equipment pole to fall or tilt. At this time, the maintenance personnel go to repair the operation error, which is another key scenario node, resulting in injuries to personnel due to electric shock. These can be regarded as a scenario chain. For related scenario nodes, for example, there are multiple potential risk scenario nodes, such as the key scenario node is bad weather. In bad weather, climbing operations may cause the equipment to tilt due to loose fixation and wind, or the ladder may fall during climbing. This is an association. All climbing operations and bad weather can be associated, which may be a risk point. It can also be understood as an association between the precursor to the accident and the final accident. The electricity-related scenario chain is to analyze the scenario chain for each accident to identify key factors.

[0046] The construction of scenario chains helps to identify the precursors and key nodes of accidents, provide early warnings for operation and maintenance personnel, and improve accident prevention capabilities. Based on scenario chains, prevention and control measures and emergency plans can be formulated more scientifically, reducing the probability and scope of accidents, and improving the operational safety of distribution networks. Through systematic data processing and scenario chain construction, the efficiency of accident data analysis and processing is improved, and the workload of operation and maintenance personnel is reduced.

[0047] S202. Analyze the electricity-related scenario chain to determine the environmental factors, grid operation and equipment status factors, and human factors that affect the operation and maintenance safety of distributed photovoltaic access to the distribution network.

[0048] In this embodiment, by analyzing the electricity-related scenario chain, the risk causes or influencing factors affecting the access of distributed photovoltaic power to the distribution network are determined from the environmental aspects, the aspects of power grid operation and equipment status, and the human aspects. The environmental influencing factors affecting the operation and inspection safety of the access of distributed photovoltaic power to the distribution network are recorded as environmental influencing factors. The influencing factors of the power grid operation and equipment status that affect the operation and inspection safety of the access of distributed photovoltaic power to the distribution network are recorded as power grid operation and equipment status influencing factors. The human influencing factors that affect the operation and inspection safety of the access of distributed photovoltaic power to the distribution network are recorded as human influencing factors.

[0049] As a specific implementation method, the steps of analyzing the electricity-related scenario chain and determining the environmental factors affecting the operation and inspection safety of distributed photovoltaic access to the distribution network can be optimized, including:

[0050] a2) Obtain at least one operation and inspection scenario feature from each electricity-related scenario chain.

[0051] In this embodiment, the operation and inspection scene feature quantities are extracted from each power-related scenario chain to form a comprehensive description of the operation and inspection scene. For example, the operation and inspection scene feature quantities include the operation and inspection environment and climate condition vector, the equipment access condition vector, the line operation condition vector, the equipment operation condition vector, the grid structure vector, the operation and inspection personnel operation process vector or the operation and inspection process management condition vector.

[0052] b2) Determine whether the operation and inspection scene feature quantity exceeds a preset operation and inspection scene feature threshold quantity.

[0053] Among them, the characteristic threshold value of the operation and inspection scene can be set according to the actual situation, and the characteristic threshold value of the operation and inspection scene can be obtained from historical data and expert experience. These threshold values ​​represent the safety limits of various characteristic values ​​in the distribution network operation and inspection process. Each operation and inspection scene characteristic value is set with an operation and inspection scene characteristic threshold value. This step is used to determine whether each operation and inspection scene characteristic value meets the preset safety conditions.

[0054] c2) If the characteristic quantities of each operation and inspection scenario do not exceed the characteristic threshold quantity of the operation and inspection scenario, the operation and inspection of the distribution network is determined to be safe.

[0055] Specifically, if the characteristic quantities of each operation and inspection scenario do not exceed the characteristic threshold quantity of the operation and inspection scenario, it is considered that the characteristic quantity of each operation and inspection scenario meets the preset safety conditions, and the operation and inspection safety of the distribution network is determined.

[0056] d2) If there is at least one operation and inspection scenario characteristic quantity that exceeds the operation and inspection scenario characteristic threshold quantity, the distribution network operation and inspection is determined to be abnormal, and the operation and inspection scenario characteristic quantity that exceeds the operation and inspection scenario characteristic threshold quantity is recorded as a risk scenario characteristic quantity.

[0057] Specifically, if there are one or more operation and maintenance scenario characteristic quantities that exceed the corresponding operation and maintenance scenario characteristic threshold quantity, it is considered that it does not meet the preset safety conditions, and the distribution network operation and maintenance is judged to be abnormal, and these operation and maintenance scenario characteristic quantities that exceed the characteristic threshold quantity are marked as risk scenario characteristic quantities.

[0058] e2) Obtain the operation and maintenance risk causes corresponding to the risk scenario characteristics as environmental influencing factors for the operation and maintenance safety of the distribution network.

[0059] In this embodiment, characteristic quantities of each operation and maintenance scenario marked as risk are obtained to determine the corresponding operation and maintenance risk causes, which may include equipment failure, operational errors, environmental factors, etc. The specific causes of each risk scenario are clarified based on the operation and maintenance risk causes, and these specific causes are used as environmental influencing factors for the operation and maintenance safety of the distribution network.

[0060] The above technical scheme specifies the steps for determining the environmental factors affecting the operation and maintenance safety of the distribution network. By setting the threshold value of the operation and maintenance scene characteristics, real-time monitoring of the operation status of the distribution network can be achieved. When a certain characteristic quantity exceeds the threshold, it can be immediately identified and an early warning can be issued to prompt the operation and maintenance personnel to take corresponding measures to avoid accidents. Threshold judgment of the operation and maintenance scene characteristic quantity can accurately identify the characteristic quantity of potential risk scenes. When these characteristic quantities exceed the threshold, they can clearly indicate the specific abnormal points in the operation of the distribution network, helping the operation and maintenance personnel to quickly locate the problem. Through real-time monitoring and threshold judgment of characteristic quantities, the safety of distribution network operation and maintenance can be significantly improved, ensuring timely intervention and processing when abnormalities occur, reducing the probability and scope of accidents. The setting of characteristic threshold quantities is based on historical data and expert experience, making the risk identification and early warning process more scientific and reliable, and providing solid data support for the decision-making of distribution network operation and maintenance. The threshold value of the operation and maintenance scene characteristic quantity can be continuously optimized and adjusted according to the actual situation and historical data to ensure the accuracy and practicality of the threshold setting, and continuously improve the safety management level of distribution network operation and maintenance.

[0061] As a specific implementation method, the steps of analyzing the power-related scenario chain and determining the factors affecting the operation and safety of distributed photovoltaic access to the distribution network and the status of equipment can be optimized, including:

[0062] a3) Obtain the photovoltaic system data, grid operation data and equipment status data of distributed photovoltaic access to the distribution network from the electricity-related scenario chain.

[0063] Among them, photovoltaic system data includes the location, penetration rate and network topology of distributed photovoltaic access, grid operation data includes voltage, current, power flow, etc., and equipment status data includes equipment operation status, performance indicators and fault records, etc. This step is used to obtain data on distribution network operation and equipment status from the power-related scenario chain.

[0064] b3) According to the set data analysis algorithm, determine the factors affecting the operation and maintenance safety of the photovoltaic system data as the main factors affecting the operation of the power grid and the status of the equipment.

[0065] Among them, the data analysis algorithm can be set to use a logistic regression algorithm. Photovoltaic system data is used to analyze the impact of photovoltaic systems on the operation and maintenance safety of distribution networks. The photovoltaic system data is analyzed using the logistic regression method to determine the main influencing factors on the operation and maintenance safety work. Logistic regression analysis can reveal the relationship between factors such as photovoltaic access location, penetration rate, network topology and operation and maintenance safety, find out the main factors that have a significant impact on operation and maintenance safety, and record the influencing factors of photovoltaic system data on operation and maintenance safety as the main grid operation and equipment status influencing factors.

[0066] c3) Determine the influencing factors of relevant grid operation and equipment status based on grid operation data, equipment status data and photovoltaic system data.

[0067] In this embodiment, multi-dimensional operation data and equipment status data of the distributed photovoltaic system are obtained. These data include the operating status, performance indicators, fault records, etc. of the equipment, which comprehensively reflect the operating conditions of the distributed photovoltaic system. The multi-dimensional operation data and status data are combined with the photovoltaic system data, and data analysis methods such as the Spearman correlation coefficient and the maximum information coefficient are used to obtain multiple related influencing factors of the power-related risks of the distribution network operation and inspection and the power grid operation and equipment status. These factors cover the key variables in the operation and inspection process, which are helpful to comprehensively evaluate the influencing factors related to the safety of operation and inspection.

[0068] d3) The main power grid operation and equipment status influencing factors and related power grid operation and equipment status influencing factors are used as power grid operation and equipment status influencing factors.

[0069] The above technical solution can systematically identify and analyze the main factors and related factors that affect operation and maintenance safety by acquiring and analyzing photovoltaic system data, multi-dimensional operation data and status data, and provide a scientific basis for risk management. By using analysis methods such as logistic regression, it can accurately identify the main factors and related influencing factors that have a significant impact on operation and maintenance safety, and ensure the accuracy of risk cause analysis. By comprehensively analyzing photovoltaic system data and multi-dimensional operation data, it can identify multiple factors that have a significant impact on operation and maintenance safety, and provide a comprehensive view of influencing factors. The summarized influencing factors related to operation and maintenance safety can help identify and manage potential risks in the operation and maintenance process, and improve the level of operation and maintenance safety management. Through regular updating and analysis of influencing factors, the operation and maintenance safety management measures can be dynamically adjusted to adapt to the changing operation and maintenance environment, and improve the adaptability and flexibility of risk management.

[0070] As a specific implementation method, the analysis of the electricity-related scenario chain can be optimized to determine the human factors that affect the operation and inspection safety of distributed photovoltaic access to the distribution network, including:

[0071] a4) Obtain behavioral characteristic information of operation and maintenance personnel from the electricity-related scenario chain.

[0072] In this embodiment, the behavioral characteristic information of the operation and maintenance personnel in the work process is obtained from the electricity-related scenario chain. This information may include operation records, work processes, violations, etc., which comprehensively reflect the behavior patterns of the operation and maintenance personnel when performing tasks, based on the behavioral characteristic information.

[0073] b4) Construct a dangerous behavior probability matrix based on the behavior characteristic information.

[0074] Specifically, a data analysis method (such as Markov analysis) is used to construct a dangerous behavior probability matrix, which describes the probability of dangerous behaviors by operation and maintenance personnel in different situations (such as normal operation, illegal operation, etc.).

[0075] c4) Based on the dangerous behavior probability matrix, the main human influencing factors and related human influencing factors that affect operation and inspection safety are extracted from the behavior characteristic information as human influencing factors.

[0076] In this embodiment, by analyzing the probability matrix, the potential risks in the behavior characteristics can be identified. By obtaining the behavior characteristic information of the operation and maintenance personnel, the operation habits and behavior patterns of the operation and maintenance personnel in actual work can be fully understood, which is helpful to identify potential dangerous behaviors. The use of the dangerous behavior probability matrix can quantify the behavioral risks of the operation and maintenance personnel, and provide a data-based risk assessment method, making the identification of behavioral risks more scientific and accurate. Based on the probability matrix, the main dangerous behavior characteristics of the operation and maintenance-related electrical risk indicators are extracted, and the elements that meet the dangerous behavior threshold are extracted from the dangerous behavior probability matrix, and the corresponding behavior characteristics of the operation and maintenance personnel are obtained according to the extracted elements.

[0077] S203. Determine multi-dimensional risk assessment indicators for risk assessment of distributed photovoltaic access to distribution networks based on historical power-related accident data, environmental influencing factors, grid operation and equipment status influencing factors, and human influencing factors.

[0078] In this embodiment, the environmental influencing factors, the influencing factors of the grid operation and equipment status, and the human influencing factors are comprehensively analyzed to extract the main features of the risk indicators of power-related operation and inspection. The main features include equipment status, grid operation parameters, environmental conditions, and personnel behavior, etc., which reflect the key factors and potential risk points that affect the safety of operation and inspection, and use them as multi-dimensional risk assessment indicators for risk assessment of distributed photovoltaic access to the distribution network. According to the behavioral characteristics of the corresponding operation and inspection personnel, the risk factors are extracted from the main influencing factors and related influencing factors, and marked as the main features of the risk indicators of power-related operation and inspection, ensuring that the risk assessment covers all key factors and provides comprehensive risk analysis results. The constructed dangerous behavior probability matrix and comprehensive risk characteristics can be used to monitor the risks in the operation and inspection process in real time, provide timely risk warnings, and help the operation and inspection personnel to quickly respond to and deal with potential safety issues.

[0079] As a specific implementation method, the steps of determining the multi-dimensional risk assessment indicators for risk assessment of distributed photovoltaic access to the distribution network can be optimized based on historical power-related accident data, environmental factors, grid operation and equipment status factors, and human factors, including:

[0080] a5) Obtain multi-dimensional risk assessment indicators based on environmental influencing factors, grid operation and equipment status influencing factors, and human influencing factors.

[0081] In this embodiment, based on environmental influencing factors, grid operation and equipment status influencing factors, and human influencing factors, multi-dimensional indicators related to operation and maintenance safety are defined and collected as multi-dimensional risk assessment indicators. These indicators include: personnel indicators: such as the operator's training level, operating experience, behavioral habits, etc.; equipment indicators: such as the equipment's operating status, maintenance records, failure rate, etc.; grid operation indicators: such as grid load, voltage level, equipment utilization, etc.; environmental indicators: such as climate conditions, environmental pollution, physical environment, etc.; management indicators: such as the implementation of the operation and maintenance plan, management processes, rules and regulations, etc.

[0082] b5) Determine the subjective regularity factors based on historical power-related accident data and environmental influencing factors, grid operation and equipment status influencing factors, and human influencing factors.

[0083] This step is used to extract subjective regular factors from historical power-related accident data and various factors affecting operation and maintenance safety. Subjective regular factors are regularities based on historical data and expert judgment, such as common accident modes, potential risk points, etc. These factors help to understand the occurrence patterns of accidents and the causes of risks.

[0084] c5) Based on subjective regularity factors and multi-dimensional risk assessment indicators, an updated multi-dimensional risk assessment indicator is used.

[0085] In this embodiment, based on the comprehensive analysis of subjective regularity factors and multi-dimensional risk assessment indicators, multi-dimensional risk indicators are extracted. By combining subjective regularity factors with specific multi-dimensional indicators, comprehensive risk assessment indicators are generated. These indicators can reveal the potential risks and safety hazards in the operation and inspection process. Through the definition and collection of multi-dimensional indicators, the operation and inspection safety can be comprehensively evaluated from multiple angles to ensure the coverage of various potential risks. The subjective regularity factors and multi-dimensional information are combined so that the risk assessment is not only based on actual data, but also takes into account expert experience and accident patterns, providing more accurate and comprehensive risk analysis results. Through the extraction of multi-dimensional risk indicators, the possible risk points in the operation and inspection process can be better identified and understood, helping the operation and inspection personnel to take preventive measures in advance. Through the analysis of multi-dimensional risk indicators, the key risk factors can be identified, thereby optimizing the operation and inspection safety management strategy and prevention and control measures, and reducing the probability and impact of accidents.

[0086] S204: Construct an operation and inspection risk assessment system for distributed photovoltaic access to the distribution network based on risk assessment indicators and a pre-constructed indicator weight table.

[0087] Among them, the indicator weight table includes at least one risk cause and the risk indicator weight corresponding to the risk cause. In this embodiment, the risk indicator weight corresponding to the risk assessment indicator is extracted from the indicator weight table. These weights will be used to quantify the impact of the risk cause on the operation and inspection risk. Based on the risk assessment indicator and the corresponding risk indicator weight extracted, a comprehensive operation and inspection risk assessment system is constructed. The system will comprehensively consider different risk causes and their corresponding weights to form a systematic evaluation model for evaluating the operation and inspection risk of distributed photovoltaic large-scale access to the distribution network, and can quantitatively evaluate different risk causes.

[0088] As a specific implementation method, the steps of constructing the operation and inspection risk assessment system of distributed photovoltaic access to the distribution network can be optimized according to the risk assessment indicators and the pre-constructed indicator weight table, including:

[0089] a6) Obtain the indicator weight table.

[0090] In this embodiment, an indicator weight table including multiple risk factors and their corresponding risk indicator weights is pre-established, and each risk cause and its associated risk indicator are assigned a weight. Each weight can be obtained through historical experience, industry regulations or entropy weight method, and these weights reflect the relative importance of each risk cause to the overall risk. For example, equipment failure may cause serious problems during operation and inspection, so equipment failure may be assigned a higher weight.

[0091] b6) Obtain the risk indicator weight corresponding to each risk assessment indicator from the indicator weight table.

[0092] In this embodiment, based on recent operation and inspection data, accident records or expert evaluations, risk factors that require special attention are determined, and risk indicator weights corresponding to each risk assessment indicator associated with the risk factor are obtained from an indicator weight table.

[0093] c6) Establish an operation and inspection risk assessment system based on the weights of each risk indicator.

[0094] In this embodiment, the risk indicator weights corresponding to the risk assessment indicators are extracted from the indicator weight table. These weights will be used to quantify the impact of risk causes on operation and inspection risks. Based on the extracted risk indicator weights, a comprehensive operation and inspection risk assessment system is constructed. The system will comprehensively consider different risk causes and their corresponding weights to form a systematic evaluation model for evaluating the operation and inspection risks of large-scale access of distributed photovoltaic power generation to the distribution network. It can quantitatively evaluate different risk causes and clarify the relative importance of each cause, making risk assessment more accurate and scientific, so that the assessment process can focus on the most important or most urgent risk points at present, providing targeted risk management solutions, and combining different risks. Indicators and weights are combined to form a systematic risk assessment tool that can comprehensively assess operation and maintenance risks and help decision makers develop effective risk management measures. Through the construction of weight tables and evaluation systems, scientific data support is provided for operation and maintenance management, helping decision makers make more informed decisions based on actual risk data and improve the effectiveness of risk management. Indicator weights and risk assessment systems can be dynamically adjusted according to actual conditions to ensure the timeliness and adaptability of risk assessment and management measures, and continuously improve the level of operation and maintenance safety management. By building a comprehensive risk assessment system, potential risks can be more accurately identified and warned, and preventive and intervention measures can be taken in a timely manner to reduce the probability and impact of accidents.

[0095] As another optional embodiment of the present invention, based on the above embodiment, after obtaining the operation and inspection risk cause corresponding to the risk scenario feature quantity, the method may further include:

[0096] a7) Based on each cause of operation and inspection risk, determine the operation and inspection prevention and control strategy corresponding to the cause of operation and inspection risk.

[0097] In this embodiment, corresponding prevention and control strategies are formulated for each determined cause of operation and maintenance risk. These strategies include preventive measures, emergency response, repair and maintenance, etc. By combining safety regulations and expert advice, detailed solutions are provided for each risk cause, and the operation and maintenance prevention and control strategies corresponding to the operation and maintenance risk causes are determined.

[0098] b7) Summarize various operation and maintenance prevention and control strategies to obtain a database of operation and maintenance-related power accident prevention and control strategies.

[0099] In this embodiment, all the operation and inspection prevention and control strategies are summarized to form a comprehensive operation and inspection-related power accident prevention and control strategy library. The strategy library covers various possible operation and inspection risk scenarios and corresponding prevention and control measures, and provides systematic management and guidance. By obtaining and analyzing the characteristic quantities and causes of each risk scenario, it can ensure that all possible operation and inspection risks are identified and responded to, avoiding missing any potential dangers. According to the specific causes of operation and inspection risks, prevention and control strategies are formulated, so that each strategy is highly targeted and practical, and can effectively solve the problems encountered in the actual operation and inspection process. The construction of the prevention and control strategy library provides a systematic management tool that the operation and inspection personnel can easily access and use to ensure that all risk prevention and control measures are effectively implemented and executed. The prevention and control strategy library provides a detailed emergency response plan. When an abnormality occurs during the operation and inspection process, the operation and inspection personnel can quickly find and implement the corresponding prevention and control measures to reduce the impact of the accident. The prevention and control strategy library not only covers the current prevention and control measures, but can also be continuously updated and optimized with the accumulation of experience and technological progress in actual operations, becoming a dynamic and constantly improving knowledge base. Based on multi-dimensional data analysis and risk cause research, a detailed prevention and control strategy library has been constructed, which can provide customized prevention and control measures for different risk scenarios and improve operation and inspection safety.

[0100] Embodiment 2

[0101] Figure 3 The present invention provides a schematic diagram of a distributed photovoltaic access distribution network operation and inspection risk assessment device provided in the second embodiment of the present invention. The device can be applied to the case of performing operation and inspection risk assessment on the distributed photovoltaic access distribution network. The distributed photovoltaic access distribution network operation and inspection risk assessment device can be configured in an electronic device, such as Figure 3 As shown, the device includes: an indicator acquisition module 31 and a risk assessment module 32; wherein,

[0102] The indicator acquisition module 31 is used to obtain the current operation and inspection-related power risk indicators of the distributed photovoltaic access distribution network;

[0103] The risk assessment module 32 is used to obtain the operation and inspection risk assessment results of the distributed photovoltaic access to the distribution network based on the current operation and inspection power-related risk indicators and the pre-built operation and inspection risk assessment system.

[0104] The above technical solution builds an operation and inspection risk assessment system in advance through risk indicators. Through the pre-built operation and inspection risk assessment system and the current operation and inspection-related power risk indicators, the current operation and inspection risk assessment of the distribution network can be carried out, realizing the quantitative assessment of the operation and inspection risks of the distribution network, which helps decision makers to understand and manage the operation and inspection risks in a timely manner. The real-time risk warning and prevention and control measures information push function enables the operation and inspection personnel to take timely measures to prevent accidents and improve the reliability and safety of the distribution network operation. Through the comprehensive analysis of multi-source data, the operation and inspection risk characteristics of distributed photovoltaic access to the distribution network are fully explored, providing a data-driven risk management method, and effectively improving the scientificity and predictability of the operation and inspection work.

[0105] Optionally, the device further comprises a system construction module, which may include:

[0106] A scenario chain construction unit, used to construct at least one electricity-related scenario chain based on historical electricity-related accident data of distributed photovoltaic access to the distribution network;

[0107] The factor determination unit is used to analyze the power-related scenario chain and determine the environmental factors, power grid operation and equipment status factors, and human factors that affect the operation and inspection safety of distributed photovoltaic access to the distribution network;

[0108] An indicator determination unit is used to determine multi-dimensional risk assessment indicators for risk assessment of distributed photovoltaic access to the distribution network based on historical power-related accident data, environmental influencing factors, power grid operation and equipment status influencing factors, and human influencing factors;

[0109] The system construction unit is used to construct an operation and inspection risk assessment system for distributed photovoltaic access to the distribution network based on risk assessment indicators and a pre-constructed indicator weight table.

[0110] Optionally, the scenario chain building unit is specifically used to:

[0111] According to historical power-related accident data, at least one power-related accident information and the accident type corresponding to the power-related accident information are obtained;

[0112] Classify each power-related accident information according to the accident type to obtain at least one power-related accident classification set;

[0113] For each piece of power-related accident information, extract at least one scenario node in the power-related accident information;

[0114] Determine the time sequence of each scenario node contained in each power-related accident information;

[0115] Determine the relevant scenario nodes in each power-related accident classification set;

[0116] According to the time sequence of each scenario node contained in each power-related accident information, the relevant scenario nodes are associated to construct an power-related scenario chain.

[0117] Optionally, the factor determination unit includes a first factor determination subunit, and the first factor determination subunit is specifically configured to:

[0118] Obtain at least one operation and inspection scenario characteristic quantity from each power-related scenario chain;

[0119] Determine whether the characteristic value of the operation and inspection scene exceeds the preset characteristic threshold value of the operation and inspection scene;

[0120] If the characteristic quantities of each operation and inspection scenario do not exceed the characteristic threshold quantity of the operation and inspection scenario, the operation and inspection of the distribution network is determined to be safe;

[0121] If there is at least one operation and inspection scenario characteristic quantity exceeding the operation and inspection scenario characteristic threshold quantity, the distribution network operation and inspection is determined to be abnormal, and the operation and inspection scenario characteristic quantity exceeding the operation and inspection scenario characteristic threshold quantity is recorded as a risk scenario characteristic quantity;

[0122] The causes of operation and inspection risks corresponding to the risk scenario characteristics are obtained as environmental influencing factors for the operation and inspection safety of the distribution network.

[0123] Optionally, the factor determination unit includes a second factor determination subunit, and the second factor determination subunit is specifically configured to:

[0124] Obtain the photovoltaic system data, grid operation data and equipment status data of distributed photovoltaic connected to the distribution network from the electricity-related scenario chain;

[0125] According to the set data analysis algorithm, the factors affecting the operation and inspection safety of the photovoltaic system data are determined as the main factors affecting the operation of the power grid and the status of the equipment;

[0126] Determine the influencing factors of relevant grid operation and equipment status based on grid operation data, equipment status data and photovoltaic system data;

[0127] The main power grid operation and equipment status influencing factors and related power grid operation and equipment status influencing factors are taken as power grid operation and equipment status influencing factors.

[0128] Optionally, the factor determination unit includes a third factor determination subunit, and the third factor determination subunit is specifically configured to:

[0129] Obtain behavioral characteristic information of operation and inspection personnel from the power-related scenario chain;

[0130] Construct a dangerous behavior probability matrix based on behavior characteristic information;

[0131] Based on the dangerous behavior probability matrix, the main human influencing factors and related human influencing factors that affect operation and inspection safety are extracted from the behavior characteristic information as human influencing factors.

[0132] Optionally, the indicator determination unit is specifically used to:

[0133] Obtain multi-dimensional risk assessment indicators based on environmental factors, power grid operation and equipment status factors, and human factors;

[0134] Determine subjective regularity factors based on historical power-related accident data and environmental influencing factors, power grid operation and equipment status influencing factors, and human influencing factors;

[0135] According to the subjective regular factors and multi-dimensional risk assessment indicators, an updated multi-dimensional risk assessment indicator is used.

[0136] Optionally, the system construction unit is specifically used for:

[0137] Obtaining an indicator weight table, wherein the indicator weight table includes at least one risk cause and a risk indicator weight corresponding to the risk cause;

[0138] Obtain the risk indicator weight corresponding to each risk assessment indicator from the indicator weight table;

[0139] Establish an operation and maintenance risk assessment system based on the weights of each risk indicator.

[0140] Optionally, the device further includes a strategy library construction module, which is used to:

[0141] Determine the corresponding operation and inspection prevention and control strategy based on each operation and inspection risk cause;

[0142] Summarize the various operation and maintenance prevention and control strategies to obtain a library of operation and maintenance-related power accident prevention and control strategies.

[0143] The operation and inspection risk assessment device for large-scale distributed photovoltaic access to a distribution network provided in an embodiment of the present invention can execute the operation and inspection risk assessment method for large-scale distributed photovoltaic access to a distribution network provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0144] Embodiment 3

[0145] Figure 4A schematic diagram of the structure of an electronic device provided for Embodiment 3 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0146] like Figure 4 As shown, the electronic device 40 includes at least one processor 41, and a memory connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 to the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0147] A number of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0148] The processor 41 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as the operation and inspection risk assessment method for distributed photovoltaic access to the distribution network.

[0149] In some embodiments, the operation and inspection risk assessment method for distributed photovoltaic access to the distribution network can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the operation and inspection risk assessment method for distributed photovoltaic access to the distribution network described above can be performed. Alternatively, in other embodiments, the processor 41 can be configured to execute the operation and inspection risk assessment method for distributed photovoltaic access to the distribution network by any other appropriate means (for example, by means of firmware).

[0150] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0151] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0152] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0153] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0154] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0155] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0156] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the operation and inspection risk assessment method for accessing a distributed photovoltaic power distribution network as provided in any embodiment of the present invention.

[0157] In the process of implementation, the computer program product can be written in one or more programming languages ​​or a combination thereof to perform the computer program code for the operation of the present disclosure, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (for example, using an Internet service provider to connect through the Internet).

[0158] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0159] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for risk assessment of distributed photovoltaic access to distribution network, characterized in that: include: Obtain the current operation and inspection-related power risk indicators of distributed photovoltaic access to the distribution network; According to the current operation and inspection electricity-related risk indicators and the pre-built operation and inspection risk assessment system, an operation and inspection risk assessment result of the distributed photovoltaic access distribution network is obtained.

2. The method according to claim 1, characterized in that The steps for constructing the operation and inspection risk assessment system include: Based on the historical power-related accident data of distributed photovoltaic access to the distribution network, build at least one power-related scenario chain; Analyze the electricity-related scenario chain to determine the environmental factors affecting the operation and inspection safety of the distributed photovoltaic access to the distribution network, the factors affecting the operation and equipment status of the grid, and the human factors; Determine a multi-dimensional risk assessment index for risk assessment of distributed photovoltaic access to the distribution network based on the historical power-related accident data, the environmental influencing factors, the power grid operation and equipment status influencing factors, and the human influencing factors; According to the risk assessment indicators and the pre-constructed indicator weight table, an operation and inspection risk assessment system for distributed photovoltaic access to the distribution network is constructed.

3. The method according to claim 2, characterized in that According to the historical electricity-related accident data of distributed photovoltaic access to the distribution network, at least one electricity-related scenario chain is constructed, including: According to the historical power-related accident data, obtaining at least one power-related accident information and the accident type corresponding to the power-related accident information; Classifying each of the power-related accident information according to the accident type to obtain at least one power-related accident classification set; For each piece of electricity-related accident information, extract at least one scenario node in the electricity-related accident information; Determine the time sequence of each scenario node contained in each electrical accident information; Determine the relevant scenario nodes in each of the power-related accident classification sets; According to the time sequence of each scenario node contained in each electricity-related accident information, the related scenario nodes are associated to construct the electricity-related scenario chain.

4. The method according to claim 2, characterized in that: The analysis of the electricity-related scenario chain to determine the environmental factors affecting the operation and inspection safety of the distributed photovoltaic access to the distribution network includes: Acquire at least one operation and inspection scenario characteristic quantity from each of the electricity-related scenario chains; Determining whether the operation and inspection scene characteristic quantity exceeds a preset operation and inspection scene characteristic threshold quantity; If the characteristic quantities of each of the operation and inspection scenarios do not exceed the characteristic threshold quantity of the operation and inspection scenario, it is determined that the operation and inspection of the distribution network is safe; If there is at least one operation and inspection scenario characteristic quantity exceeding the operation and inspection scenario characteristic threshold quantity, the distribution network operation and inspection is determined to be abnormal, and the operation and inspection scenario characteristic quantity exceeding the operation and inspection scenario characteristic threshold quantity is recorded as a risk scenario characteristic quantity; The operation and inspection risk causes corresponding to the risk scenario characteristic quantities are obtained as environmental influencing factors for the operation and inspection safety of the distribution network.

5. The method according to claim 2, characterized in that: The analysis of the electricity-related scenario chain to determine the factors affecting the operation and equipment status of the power grid that affect the safety of the distributed photovoltaic access to the distribution network includes: Obtain the photovoltaic system data, grid operation data and equipment status data of distributed photovoltaic connected to the distribution network from the electricity-related scenario chain; According to the set data analysis algorithm, determine the influencing factors of the photovoltaic system data on operation and inspection safety as the main grid operation and equipment status influencing factors; Determining relevant grid operation and equipment status influencing factors according to the grid operation data, the equipment status data and the photovoltaic system data; The main power grid operation and equipment state influencing factors and the related power grid operation and equipment state influencing factors are used as the power grid operation and equipment state influencing factors.

6. The method according to claim 2, characterized in that The analysis of the electricity-related scenario chain to determine the human factors affecting the operation and inspection safety of the distributed photovoltaic access to the distribution network includes: Obtaining behavioral characteristic information of the operation and inspection personnel from the electricity-related scenario chain; Constructing a dangerous behavior probability matrix according to the behavior characteristic information; Based on the dangerous behavior probability matrix, main human influence factors and related human influence factors affecting operation and inspection safety are extracted from the behavior feature information as the human influence factors.

7. The method according to claim 2, characterized in that The multi-dimensional risk assessment index for risk assessment of distributed photovoltaic access to the distribution network is determined based on the historical power-related accident data, the environmental influencing factors, the power grid operation and equipment status influencing factors, and the human influencing factors, including: Obtain multi-dimensional risk assessment indicators based on the environmental influencing factors, the power grid operation and equipment status influencing factors, and the human influencing factors; Determine subjective regularity factors based on the historical power-related accident data and the environmental influencing factors, the power grid operation and equipment status influencing factors, and the human influencing factors; According to the subjective regularity factors and the multi-dimensional risk assessment index, an updated multi-dimensional risk assessment index is used.

8. The method according to claim 2, characterized in that: The operation and inspection risk assessment system for distributed photovoltaic access to the distribution network is constructed according to the risk assessment index and the pre-constructed index weight table, including: Obtaining an indicator weight table, wherein the indicator weight table includes at least one risk cause and a risk indicator weight corresponding to the risk cause; Obtaining the risk indicator weight corresponding to each risk assessment indicator from the indicator weight table; According to the weights of the risk indicators, the operation and inspection risk assessment system is constructed.

9. The method according to claim 4, characterized in that After obtaining the cause of the operation and inspection risk corresponding to the risk scenario characteristic quantity, the method further includes: According to each cause of operation and inspection risk, determine the operation and inspection prevention and control strategy corresponding to the cause of operation and inspection risk; The above-mentioned operation and inspection prevention and control strategies are summarized to obtain an operation and inspection-related power accident prevention and control strategy library.

10. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the operation and inspection risk assessment method for distributed photovoltaic access to a distribution network as described in any one of claims 1-9.

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