Temporary risk assessment system for important user power supply path

Abstract

The invention relates to the technical field of risk assessment, and discloses a temporary risk assessment system for an important user power supply path, which comprises a data acquisition unit, a multivariate database, a data analysis unit, a data processing unit, a data assessment unit and a result output unit. Serious social influence and economic loss caused by power failure are avoided; the method realizes multivariate data acquisition, covers basic information, operation states, fault history and the like of the equipment, ensures that abnormal indexes accurately reflect the actual condition of the equipment through feature extraction analysis for different connection paths and full consideration of key parameters, and determines the actual condition of the equipment by calculating a risk assessment value and combining a risk level judgment interval. Workers can conveniently and visually know the risk degree, and support is provided for decision making; in addition, a knowledge base is constructed and is subjected to tagging storage, so that risk data can be conveniently managed and queried; preventive maintenance is achieved by means of real-time data collection, the fault probability is reduced, and accuracy and reliability are improved.

Description

Technical Field

[0001] The invention relates to the technical field of risk assessment, and in particular to a temporary risk assessment system for an important user power supply path. Background Art

[0002] In today's highly electricity-dependent society, stable power supply to important users such as hospitals, schools, communication hubs and important enterprises is crucial; the normal operation of these important users is related to public health and safety, the continued development of education, the smooth flow of information and the stable development of the economy. With the continuous progress of society and the rapid development of science and technology, the reliability and quality requirements of power supply are increasing. However, the power system faces many uncertain factors in the operation process, such as equipment aging, natural disasters, human operational errors, etc. These factors may cause failures or abnormalities in the power supply path of important users, thereby affecting the normal operation of important users.

[0003] In the power system, the power supply path of important users is usually more complicated, involving multiple connection paths such as main transformers, busbars, switchgear, etc. At present, there are many deficiencies in the risk assessment of the power supply path of important users. First, there is a lack of a unified multi-database to store important user information, power supply paths, and corresponding operating status data and fault history information, resulting in a lack of comprehensive data support for the analysis and evaluation of the power supply path. Secondly, the existing risk assessment methods are relatively single, and it is difficult to accurately reflect the abnormal conditions of each connection path in the power supply path and the overall risk level. In addition, it is impossible to detect potential risks in the power supply path in a timely manner, making it difficult to ensure the stable and reliable power supply of important users and reduce the social impact and economic losses caused by power failures.

[0004] Therefore, in order to meet the high requirements of important users for power supply and improve the reliability and stability of power supply, it is urgent to develop a temporary risk assessment system for the power supply path of important users. Summary of the invention

[0005] The purpose of the present invention is to provide a temporary risk assessment system for the power supply path of important users, aiming to fully understand the operating status and risk status of the power supply path of important users, timely discover potential risks and hidden dangers, provide a basis for taking preventive and control measures, and at the same time optimize the operation and management of the power system, solving the technical problems raised in the background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A temporary risk assessment system for important user power supply paths, including: A data acquisition unit, used to acquire all pre-defined important users, the power supply paths corresponding to the important users, and the operation status data and fault history corresponding to the power supply paths; A multi-dimensional database is used to store all important users, the power supply paths corresponding to important users, and the operating status data and fault history corresponding to the power supply paths; A data analysis unit is used to extract and analyze the features of the power supply paths corresponding to each important user based on the multivariate database, and obtain the abnormal indicators of the corresponding connection paths in the power supply paths; The data processing unit is used to use labeling technology to mark each connection path of the power supply path corresponding to the important users, and to build a power grid operation risk equipment library and an important user information library; The data evaluation unit is used to perform risk evaluation on the power supply path corresponding to each important user based on the power grid operation risk equipment library and the important user information library, and obtain the risk evaluation value of the power supply path corresponding to each important user, and then determine the risk level of each important user based on the risk evaluation value, and then label the risk level and risk evaluation value caused by the connection path corresponding to the important user into the library, and form a power grid risk knowledge base; The result output unit is used to display the abnormal indicators of each connection path in the power supply path corresponding to each important user in the power grid risk knowledge base and the risk assessment value of the power supply path corresponding to each important user to relevant personnel, so that the staff can quickly understand the overall status of the power supply path of the relevant important users.

[0007] As a further solution of the present invention: the acquisition method of the data acquisition unit is as follows: Step A.1. Obtain pre-defined important users, including but not limited to hospitals, schools, communication hubs, and important enterprises; Step A.2, using the topological structure data of the power system, starting from the power supply node of the power grid, gradually search for the connection path to the important users, and determine the power supply path of the important users; The power supply path starts from the power supply node and ends at the important user access node. Its connection path includes but is not limited to the main transformer, busbar, and switchgear. Step A.3, through the pre-installed sensor equipment, the operation status data of each connection path on the power supply path is collected in real time, and the fault history of each connection path on the power supply path is collected; The operating status data includes but is not limited to the information corresponding to the service life, operating time, temperature, current, and voltage of the equipment; the fault history includes but is not limited to the number of faults on each connection path.

[0008] As a further solution of the present invention: the feature extraction and analysis method is as follows: Take an important user as an example; In the power supply path corresponding to important users, for the connection path corresponding to the main transformer, its feature extraction method is as follows: Step 1.1, obtain the rated voltage, rated current, rated power, number of faults and operating time corresponding to the main transformer; At the same time, within the specified period, the actual voltage and current of the main transformer at n time nodes are obtained; Step 1.2, calculate the average values ​​of all actual voltages and all actual currents at n time nodes respectively; Step 1.3, obtain the no-load loss value and load loss value of the main transformer; Then through: P1 s =P1 空 +P1 负 ×(L1 / L1 e ) 2 Calculate the power loss P1 of the main transformer s ; in, P1 空 : refers to the no-load loss value; P1 负 : refers to the load loss value; The no-load loss value and load loss value are obtained from the corresponding nameplate of the main transformer; L1 is the average value of all actual currents at n time nodes; L1 e is the rated current; Step 1.4, calculate the main variable index through the predetermined formula: , Calculate the abnormal index Z1 of the main transformer; In the formula, V11: refers to the average value of all actual voltages at n time nodes; V1 e : refers to the rated voltage; L1 is the average value of all actual currents at n time nodes; L1 e : refers to the rated current; P1 e : refers to the rated power; G1 c : refers to the number of failures; Y1 s : refers to the running time; α1, α2, α3, and α4 are corresponding preset weight values ​​respectively.

[0009] As a further embodiment of the present invention: In the power supply path corresponding to the important user, for the connection path corresponding to the bus, the feature extraction method is as follows: Step 2.1, obtain the rated resistance, rated reactance, rated power, number of faults and operating time corresponding to the bus; At the same time, within the specified period, the actual current and actual resistance of the bus at n time nodes are obtained through voltage and current sensors; At the same time, within the specified period, the actual reactance of the bus at n time nodes is obtained through the impedance analyzer; Step 2.2, calculate the actual resistance corresponding to each of the n time nodes using Ohm's law; Then the average values ​​of all actual currents and actual resistances at n time nodes are calculated; At the same time, the average value of all actual reactances at n time nodes is calculated; Step 2.3, then pass: P2 s =L2 2 ×R2 Calculate the busbar power loss P2 s ; in, L2: refers to the average value of all actual currents at n time nodes; R2: refers to the average value of all actual resistances at n time nodes; Step 2.4, through the predetermined busbar index calculation formula: , Calculate the abnormal index Z2 of the busbar; In the formula, R2: refers to the average value of all actual resistances at n time nodes; R2 e : refers to the rated resistance; X2: refers to the average value of all actual reactances at n time nodes; X2 e : refers to the rated reactance; P2 e : refers to the rated power of the bus; G2 c : refers to the number of bus failures; M2: refers to the busbar length of the busbar; β1, β2, β3, and β4 are corresponding preset weight values ​​respectively.

[0010] As a further embodiment of the present invention: In the power supply path corresponding to the important user, for the connection path corresponding to the switch device, the feature extraction method is as follows: Step 3.1, obtain the opening and closing times, fault times, actual operation time and rated operation time of the switchgear in the specified period; Step 3.2, through the predetermined switchgear indicator calculation formula: , Calculate the abnormal index Z3 of the switchgear; In the formula, K c : refers to the number of opening and closing times of the switch device within a specified cycle; T 31 : refers to the duration of the specified period; G3 c : refers to the number of faults corresponding to the switching device within a specified period; T 32 : refers to the actual operating time corresponding to the switchgear; T 33 : Refers to the rated operating time corresponding to the switchgear λ1, λ2, and λ3 are corresponding preset weight values ​​respectively.

[0011] As a further solution of the present invention: the risk assessment method is as follows: Step K.1. Select an important user as an example; Obtain the abnormal indicators corresponding to each connection path on the power supply path corresponding to the important user, and then mark the abnormal indicators corresponding to each connection path as Z j , j = 1, 2, ... m, m represents the number of all connection paths on the power supply path corresponding to important users, Z j Indicates the connection path number of the power supply path corresponding to the important user; Step K.2, through the predetermined risk assessment comprehensive calculation formula: , calculate the risk assessment value U of the power supply path corresponding to the important user; In the formula, μ j It is represented by the preset weight coefficient corresponding to each connection path; Step K.3, matching the risk assessment value U of the power supply path corresponding to the important user with the preset risk level determination interval; The risk level determination interval includes: Low risk level determination interval [U1, U2); Medium risk level determination interval [U2, U3); High risk level determination interval [U3, U4); If the risk assessment value U of the power supply path corresponding to the important user is within [U1, U2), then it is determined that the power supply path corresponding to the important user is at a low risk level; If the risk assessment value U of the power supply path corresponding to the important user is within [U2, U3), then it is determined that the power supply path corresponding to the important user is at a medium risk level; If the risk assessment value U of the power supply path corresponding to the important user is within [U3, U4], it is determined that the power supply path corresponding to the important user is at a high risk level; Step K.4. According to the method of Step K.1 to Step K.3, calculate the risk assessment value of the power supply path corresponding to each important user, and determine the risk level of the power supply path corresponding to each important user based on the risk assessment value.

[0012] Beneficial effects of the present invention: The present invention, by conducting risk assessment on power supply paths for important users such as hospitals, schools, communication hubs, and important enterprises, can timely discover potential risks in power supply paths, ensure stable and reliable power supply to these key places and institutions, and avoid serious social impacts and economic losses caused by power failures.

[0013] The present invention identifies all important users and their power supply paths through a data acquisition unit, and collects operating status data and fault history, covering data from basic equipment information to real-time operating status and historical fault conditions, providing a basis for comprehensive and accurate risk assessment.

[0014] The present invention adopts a specific feature extraction method for different connection paths, such as main transformers, busbars, and switchgear, and fully considers the key parameters of each device, such as the voltage, current, power loss, and number of faults of the main transformer, the resistance, reactance, and power loss of the busbar, the opening and closing times and the number of faults of the switchgear, so that the calculated abnormal indicators can accurately reflect the actual operating conditions of the equipment.

[0015] The present invention utilizes a predetermined comprehensive risk assessment calculation formula, combines the abnormal indicators of each connection path and a preset weight coefficient, and can scientifically assess the overall risk level of the power supply path of important users.

[0016] The present invention corresponds the risk assessment value to different risk levels through a clear risk level determination interval, so that the staff can intuitively understand the risk level of the power supply path and take corresponding measures for risk control.

[0017] The present invention marks each connection path of the power supply path corresponding to the important users, and builds a power grid operation risk equipment library and an important user information library. At the same time, the risk level and risk assessment value are labeled and stored in the library to form a power grid risk knowledge base, which is convenient for managing and querying risk data.

[0018] In the present invention, the result output unit displays the abnormal indicators and risk assessment values ​​of each connection path in the power supply path corresponding to each important user in the power grid risk knowledge base to relevant personnel, so that the staff can quickly understand the overall status of the power supply path of the relevant important users, and provide strong support for making maintenance plans, optimizing power supply paths and other decisions.

[0019] The present invention collects the operating status data of each connection path on the power supply path in real time through the pre-installed sensor equipment, which can timely discover abnormal conditions in the operation of the equipment, provide a basis for preventive maintenance, and reduce the probability of failure.

[0020] The present invention can continuously perform risk assessment on power supply paths of important users, continuously optimize assessment results with the passage of time and accumulation of data, and improve the accuracy and reliability of risk assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below in conjunction with the accompanying drawings.

[0022] Figure 1 It is a system block diagram of a temporary risk assessment system for an important user power supply path of the present invention.

[0023] Figure 2 It is a flow chart of a temporary risk assessment system for an important user power supply path of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 are within the scope of protection of the present invention.

[0025] See also Figure 1 and Figure 2 As shown, the present invention is a temporary risk assessment system for an important user power supply path, comprising a data acquisition unit, a multivariate database, a data analysis unit, a data processing unit, a data assessment unit and a result output unit, and they are communicatively connected; The implementation is as follows: Step 1: Data Acquisition This step is implemented by the data acquisition unit: Obtain pre-defined important users, including hospitals, schools, communication hubs, important enterprises, etc. For example, in a certain city, important users such as the Municipal People's Hospital, the Municipal No. 1 Middle School, the Municipal Communication Hub Building, and a large manufacturing enterprise are identified; Using the topological data of the power system, starting from the power supply node of the power grid, gradually search for the connection path to important users and determine the power supply path for important users; Taking the Municipal People's Hospital as an example, starting from the power supply node, through the main transformer, busbar, switch equipment and other connection paths, it is finally connected to the access node of the Municipal People's Hospital; Through the pre-installed sensor equipment, the operating status data of each connection path on the power supply path is collected in real time, and the fault history of each connection path on the power supply path is collected at the same time; For example: For the main transformer, collect information such as its service life, operating time, temperature, current, voltage, and number of faults; For the busbar, collect information such as actual voltage, actual current, actual reactance, number of faults, etc. For switchgear, collect information such as opening and closing times, fault times, actual operating time, and rated operating time; Step 2: Data storage This step is achieved through a multivariate database: Store all important users, the power supply paths corresponding to the important users, and the operation status data and fault history corresponding to the power supply paths in a multivariate database; The multi-database can adopt relational database or non-relational database to ensure the security and reliability of data; Step 3: Data Analysis This step is achieved through the data analysis unit: Taking an important user as an example, the corresponding power supply path is subjected to feature extraction and analysis, and the abnormal index of the corresponding connection path in the power supply path is obtained; For the connection path corresponding to the main transformer: Obtain the rated voltage, rated current, rated power, number of faults and operating time corresponding to the main transformer; Among them, the rated voltage, rated current, and rated power corresponding to the main transformer are all obtained from the equipment nameplate; At the same time, within the specified period, the actual voltage and current of the main transformer at n time nodes are obtained; Calculate the average values ​​of all actual voltages and all actual currents at n time nodes respectively; Obtain the no-load loss value and load loss value of the main transformer; By: P1 s =P1 空 +P1 负 ×(L1 / L1 e ) 2 Calculate the power loss P1 of the main transformer s ; in, P1 空 : refers to the no-load loss value; P1 负 : refers to the load loss value; The no-load loss value and load loss value are obtained from the corresponding nameplate of the main transformer; L1: refers to the average value of all actual currents at n time nodes; L1 e is the rated current; Calculate the abnormal index Z1 of the main transformer through the predetermined main transformer index calculation formula; The formula is: , In the formula, V11: refers to the average value of all actual voltages at n time nodes; V1 e : refers to the rated voltage; L1 is the average value of all actual currents at n time nodes; L1 e : refers to the rated current; P1 e : refers to the rated power; G1 c : refers to the number of failures; Y1 s : refers to the running time; α1, α2, α3, and α4 are corresponding preset weight values ​​respectively; In the calculation formula of the main variable index, Measures the degree of deviation between the actual voltage and the rated voltage; When the actual voltage deviates greatly from the rated voltage, it indicates that there may be a problem with the operation of the main transformer. For example, when the actual voltage is too high, it may damage the equipment; when the actual voltage is too low, it may affect the power supply quality. The weight coefficient α1 can be adjusted according to the actual situation. For example, if the voltage stability requirement is high, the value of α1 can be appropriately increased. Reflects the deviation between the actual current and the rated current; Abnormal changes in current may be caused by load changes, faults, etc.; similar to voltage, current deviations may also have an adverse effect on the operation of the main transformer; Among them, the weight coefficient α2 can be adjusted according to the importance of current in the operation of the main transformer; Indicates the ratio of the main transformer's power loss to the rated power; Excessive power loss may mean that the equipment is aging, the efficiency is reduced, or there is a fault. By monitoring the power loss, potential problems of the main transformer can be discovered in time. Among them, the weight coefficient α3 can be adjusted according to the degree of concern for power loss; The number of main transformer failures within a certain time period was calculated; The more faults there are, the lower the reliability of the main transformer is; Among them, the weight coefficient α4 can be adjusted according to the tolerance of the fault and the impact of the fault on the system; Then, the abnormality index Z1 of the main transformer in the power supply path corresponding to the important user is compared with the preset main transformer abnormality index threshold set, and the abnormality level of the main transformer in the power supply path is determined; The threshold set of the main transformer abnormality index is Y1∈[Y11,Y12,Y13], where Y11<Y12<Y13; If Z1<Y11, it is determined that there is no abnormality in the main transformer in the power supply path corresponding to the important user; If Y11≤Z1<Y12, it is determined that the main transformer in the power supply path corresponding to the important user is in an abnormal state of the primary main transformer; If Y12≤Z1<Y13, it is determined that the main transformer in the power supply path corresponding to the important user is in an abnormal state of the secondary main transformer; If Z1≥Y13, it is determined that the main transformer in the power supply path corresponding to the important user is in the abnormal state of the third-level main transformer; Among them, when evaluating the risk level of the main transformer, it can be divided into three levels to describe the severity of its abnormal state; The abnormal state of the primary main transformer indicates a lower risk level, which usually means that the problem is relatively minor and may not immediately affect the normal operation of the system; The abnormal state of the secondary main transformer indicates that the risk level is medium. The problems that may occur at this time will have a certain impact on system performance, but will not cause a complete failure. The third-level main transformer abnormal state corresponds to a high fault risk, which means that there is a serious abnormality that may cause system downtime or significant losses, and immediate measures need to be taken to repair or replace it; For the connection path corresponding to the busbar: Obtain the rated resistance, rated reactance, rated power, number of faults and operating time corresponding to the busbar; The rated resistance, rated reactance, and rated power of the busbar are all available on the corresponding product nameplate; At the same time, within the specified period, the actual voltage and current of the bus at n time nodes are obtained through voltage and current sensors; the actual reactance of the bus at n time nodes is obtained through impedance analyzer; The actual resistance corresponding to each of the n time nodes is calculated by Ohm's law, and then the average value of all the actual resistances at the n time nodes is calculated; at the same time, the average value of all the actual reactances at the n time nodes is calculated; By: P2 s =L2 2 ×R2 calculates the busbar power loss P2 s ; in, L2: refers to the average value of all actual currents at n time nodes; R2: refers to the average value of all actual resistances at n time nodes; Calculate the abnormal index Z2 of the busbar by using the predetermined busbar index calculation formula; The formula is: , In the formula, R2: refers to the average value of all actual resistances at n time nodes; R2 e : refers to the rated resistance; X2: refers to the average value of all actual reactances at n time nodes; X2 e : refers to the rated reactance; P2 e : refers to the rated power of the bus; G2 c : refers to the number of bus failures; M2: refers to the busbar length of the busbar; β1, β2, β3, and β4 are the corresponding preset weight values; In the calculation formula of the busbar index, Measure the deviation between the actual resistance of the busbar and the rated resistance; Resistance changes may be caused by busbar aging, temperature changes, etc.; large resistance deviations may lead to increased busbar losses, increased voltage drops, and other problems; Among them, the weight coefficient β1 can be adjusted according to the influence of the resistance on the bus operation; Reflects the deviation between the actual busbar reactance and the rated reactance; Changes in reactance may affect power transfer and voltage stability of the bus; Among them, the weight coefficient β2 can be adjusted according to the importance of reactance in bus operation; : Indicates the ratio of bus power loss to rated power; Excessive bus power loss may mean that the bus is faulty or overloaded. By monitoring the power loss, bus problems can be discovered in a timely manner; Among them, the weight coefficient β3 can be adjusted according to the degree of concern for bus losses; : The number of faults per unit length of bus within a certain time period is calculated; The more faults there are, the lower the reliability of the busbar is; Among them, the weight coefficient β4 can be adjusted according to the tolerance of bus faults and the impact of faults on the system; Then, the abnormal index Z2 of the bus in the power supply path corresponding to the important user is compared with the preset bus abnormal index threshold set, and the abnormal level of the bus in the power supply path is determined; The busbar abnormality index threshold set is Y2∈[Y21,Y22,Y23], where Y21<Y22<Y23; If Z2<Y21, it is determined that there is no abnormality in the busbar in the power supply path corresponding to the important user; If Y21≤Z2<Y22, it is determined that the busbar in the power supply path corresponding to the important user is in the primary busbar abnormal state; If Y22≤Z2<Y23, it is determined that the busbar in the power supply path corresponding to the important user is in an abnormal secondary busbar state; If Z2≥Y23, it is determined that the busbar in the power supply path corresponding to the important user is in the abnormal state of the third-level busbar; Among them, when evaluating the risk level of the busbar, it can be divided into three levels to describe the severity of its abnormal state; The abnormal state of the primary busbar indicates a lower risk level, which usually means that the problem is relatively minor and may not immediately affect the normal operation of the system; The abnormal state of the secondary busbar indicates that the risk level is medium. The problems that may occur at this time will have a certain impact on system performance, but will not cause a complete failure; The abnormal state of the tertiary bus corresponds to a high risk of failure, which means that there is a serious abnormality that may cause system downtime or significant losses, and immediate measures need to be taken to repair or replace it; For the connection path corresponding to the switch device: Obtain the opening and closing times, fault times, actual operating time and rated operating time of the switchgear within a specified period; The rated operating time corresponding to the switchgear is obtained from the corresponding product nameplate; Calculate the abnormality index Z3 of the switchgear through a predetermined switchgear index calculation formula; The formula is: , In the formula, K c : refers to the number of opening and closing times of the switch device within a specified cycle; T 31 : refers to the duration of the specified period; G3 c : refers to the number of faults corresponding to the switching device within a specified period; T 32 : refers to the actual operating time corresponding to the switchgear; T 33 : Refers to the rated operating time corresponding to the switchgear λ1, λ2, and λ3 are corresponding preset weight values ​​respectively; In the calculation formula of the busbar index, It measures the number of times a switchgear is opened and closed in a certain period of time; Frequent opening and closing operations may lead to increased wear and failure risk of switchgear; Among them, the weight coefficient λ1 can be adjusted according to the frequency of use of the switchgear and the degree of attention paid to the number of opening and closing times; The number of failures of the switchgear within a certain time period was calculated; The greater the number of failures, the lower the reliability of the switchgear; Among them, the weight coefficient λ2 can be adjusted according to the tolerance of the switchgear failure and the impact of the failure on the system; Indicates the ratio of the actual operating time of the switchgear to the rated operating time; If the actual operating time is close to or exceeds the rated operating time, it may mean that the switchgear needs maintenance or replacement; Among them, the weight coefficient λ3 can be adjusted according to the service life of the switchgear and the degree of concern about the operating time; Then, the abnormality index Z3 of the switch device in the power supply path corresponding to the important user is compared with the preset abnormality index threshold set of the switch device, and the abnormality level of the switch device in the power supply path is determined; The threshold set of switchgear abnormality index is Y3∈[Y31,Y32,Y33], where Y31<Y32<Y33; If Z3<Y31, it is determined that there is no abnormality in the switch device in the power supply path corresponding to the important user; If Y31≤Z3<Y32, it is determined that the switch device in the power supply path corresponding to the important user is in the abnormal state of the primary switch device; If Y32≤Z3<Y33, it is determined that the switch device in the power supply path corresponding to the important user is in an abnormal state of the secondary switch device; If Z3≥Y33, it is determined that the switch device in the power supply path corresponding to the important user is in the abnormal state of the third-level switch device; Among them, when evaluating the risk level of switchgear, it can be divided into three levels to describe the severity of its abnormal state; The abnormal status of the first-level switchgear indicates a lower risk level, usually meaning that the problem is relatively minor and may not immediately affect the normal operation of the system; An abnormal state of secondary switchgear indicates a medium risk level, where problems may have some impact on system performance but will not lead to a complete failure; The abnormal state of the third-level switchgear corresponds to a high risk of failure, which means that there is a serious abnormality that may cause system downtime or significant losses, and immediate measures need to be taken to repair or replace it; Step 4: Data processing This step is implemented by the data processing unit: Using labeling technology, we can mark each connection path of the power supply path corresponding to important users, and build a grid operation risk equipment database and an important user information database; For example, for the main transformer, it can be marked as "important user A-main transformer-number X"; for the bus, it can be marked as "important user A-bus-number Y"; for the switchgear, it can be marked as "important user A-switchgear-number Z"; The marked connection path information and important user information are stored in the power grid operation risk equipment library and the important user information library respectively to facilitate subsequent risk assessment and management; Step 5: Data Evaluation This step is implemented by the data evaluation unit: Take an important user as an example and conduct risk assessment on its corresponding power supply path; First, obtain the abnormal indicators corresponding to each connection path on the power supply path corresponding to the important user, and mark the abnormal indicators corresponding to each connection path as Z. j , j = 1, 2, ... m, m represents the number of all connection paths on the power supply path corresponding to important users, Z j Indicates the connection path number of the power supply path corresponding to the important user; Then, the risk assessment value U of the power supply path corresponding to the important user is calculated by a predetermined risk assessment comprehensive calculation formula; The formula is: , where μ j It is represented by the preset weight coefficient corresponding to each connection path; Then, the risk assessment value U of the power supply path corresponding to the important user is matched with the preset risk level determination interval; The risk level determination range includes: Low risk level determination interval [U1, U2); Medium risk level determination interval [U2, U3); High risk level determination interval [U3, U4); If the risk assessment value U of the power supply path corresponding to the important user is within [U1, U2), then it is determined that the power supply path corresponding to the important user is at a low risk level; If the risk assessment value U of the power supply path corresponding to the important user is within [U2, U3), then it is determined that the power supply path corresponding to the important user is at a medium risk level; If the risk assessment value U of the power supply path corresponding to the important user is within [U3, U4], it is determined that the power supply path corresponding to the important user is at a high risk level.

[0026] Then, according to the above steps, the risk assessment value of the power supply path corresponding to each important user is calculated, and the risk level of each important user is determined.

[0027] Finally, the risk level and risk assessment value caused by the connection paths corresponding to important users are labeled and stored in the database to form a power grid risk knowledge base; Step 6: Output results This step is implemented through the result output unit: The abnormal indicators of each connection path in the power supply path corresponding to each important user in the power grid risk knowledge base and the risk assessment value of each important user's power supply path are displayed to relevant personnel so that the staff can quickly understand the overall status of the power supply path of the relevant important users; It can be displayed in the form of visual interface, reports, etc., which is convenient for staff to analyze and make decisions; This embodiment implements a temporary risk assessment system for the power supply path of important users, so as to fully understand the operating status and risk status of the power supply path of important users, timely discover potential risks and hidden dangers, and provide a basis for taking corresponding measures to prevent and control them; improve the reliability and safety of the power supply path of important users, and ensure the power supply of important users; optimize the operation and management of the power system, and improve the overall efficiency and benefits of the power system; provide a reference for the planning and construction of the power system, and improve the adaptability and sustainability of the power system.

[0028] It should be noted that: the accuracy and real-time nature of data collection are the key to ensuring the accuracy of risk assessment results; therefore, it is necessary to ensure that the installation location of the sensor equipment is reasonable, the performance is stable, and the reliability of the data acquisition and transmission system is high; the determination of the weight coefficient needs to be reasonably adjusted according to the actual situation to ensure the objectivity and accuracy of the risk assessment results; the setting of the risk level determination interval needs to be reasonably adjusted according to the actual situation to ensure the rationality and operability of the risk assessment results; system maintenance and updating are the key to ensuring the long-term stable operation of the system. Therefore, the system needs to be regularly maintained and updated to ensure that the performance and functions of the system are continuously improved.

[0029] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0030] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A temporary risk assessment system for important user power supply paths, characterized in that: include: A data analysis unit is used to extract and analyze the features of the power supply paths corresponding to each important user based on the multivariate database, and obtain the abnormal indicators of the corresponding connection paths in the power supply paths; The data processing unit is used to use labeling technology to mark each connection path of the power supply path corresponding to the important users, and to build a power grid operation risk equipment library and an important user information library; The data assessment unit is used to conduct risk assessment on the power supply path corresponding to each important user based on the power grid operation risk equipment library and the important user information library, and obtain the risk assessment value of the power supply path corresponding to each important user, and then determine the risk level of each important user based on the risk assessment value, and then label the risk level and risk assessment value caused by the connection path corresponding to the important user into the library, and form a power grid risk knowledge base.

2. A temporary risk assessment system for important user power supply paths according to claim 1, characterized in that: Also includes: A data acquisition unit, used to acquire all pre-defined important users, the power supply paths corresponding to the important users, and the operation status data and fault history corresponding to the power supply paths; The multivariate database is used to store all important users, the power supply paths corresponding to the important users, and the operating status data and fault history corresponding to the power supply paths.

3. A temporary risk assessment system for important user power supply paths according to claim 2, characterized in that: The data acquisition unit acquires data in the following manner: StepA.

1. Obtain pre-defined important users; Step A.2, using the topological structure data of the power system, starting from the power supply node of the power grid, gradually search for the connection path to the important users, and determine the power supply path of the important users; The power supply path starts from the power supply node and ends at the important user access node. Its connection path includes the main transformer, busbar, and switchgear. Step A.3, through the pre-installed sensor equipment, the operation status data of each connection path on the power supply path is collected in real time, and the fault history of each connection path on the power supply path is collected; Among them, the operating status data includes information corresponding to the equipment's service life, operating time, temperature, current, and voltage; the fault history includes the number of faults on each connection path.

4. A temporary risk assessment system for important user power supply paths according to claim 3, characterized in that: The feature extraction analysis method is as follows: Select an important user. In the power supply path corresponding to the important user, for the connection path corresponding to the main transformer, the feature extraction method is as follows: Step 1.1, obtain the rated voltage, rated current, rated power, number of faults and operating time corresponding to the main transformer; At the same time, within the specified period, the actual voltage and current of the main transformer at n time nodes are obtained; Step 1.2, calculate the average values ​​of all actual voltages and all actual currents at n time nodes respectively; Step 1.3, obtain the no-load loss value and load loss value of the main transformer; Then through: P1 s =P1 空 +P1 负 ×(L1 / L1 e ) 2 Calculate the power loss P1 of the main transformer s ; in, P1 空 : refers to the no-load loss value; P1 负 : refers to the load loss value; The no-load loss value and load loss value are obtained from the corresponding nameplate of the main transformer; L1: refers to the average value of all actual currents at n time nodes; L1 e is the rated current; Step 1.4, calculate the main variable index through the predetermined formula: ， Calculate the abnormal index Z1 of the main transformer; In the formula, V11: refers to the average value of all actual voltages at n time nodes; V1 e : refers to the rated voltage; L1 is the average value of all actual currents at n time nodes; L1 e : refers to the rated current; P1 e : refers to the rated power; G1 c : refers to the number of failures; Y1 s : refers to the running time; α1, α2, α3, and α4 are corresponding preset weight values ​​respectively.

5. A temporary risk assessment system for important user power supply paths according to claim 4, characterized in that: The feature extraction analysis method is as follows: Select an important user. In the power supply path corresponding to the important user, for the connection path corresponding to the bus, the feature extraction method is as follows: Step 2.1, obtain the rated resistance, rated reactance, rated power, number of faults and operating time corresponding to the bus; At the same time, within the specified period, the actual current and actual resistance of the bus at n time nodes are obtained through voltage and current sensors; At the same time, within the specified period, the actual reactance of the bus at n time nodes is obtained through the impedance analyzer; Step 2.2, calculate the actual resistance corresponding to each of the n time nodes using Ohm's law; Then the average values ​​of all actual currents and actual resistances at n time nodes are calculated; At the same time, the average value of all actual reactances at n time nodes is calculated; Step 2.3, then pass: <h2 style=";text-align:left;direction:ltr">P2<h2 style=";text-align:left;direction:ltr"> s <h2 style=";text-align:left;direction:ltr"> =L2<h2 style=";text-align:left;direction:ltr"> 2 <h2 style=";text-align:left;direction:ltr"> ×R2 Calculate the busbar power loss P2 s ; in, L2: refers to the average value of all actual currents at n time nodes; R2: refers to the average value of all actual resistances at n time nodes; Step 2.4, through the predetermined busbar index calculation formula: ， Calculate the abnormal index Z2 of the busbar; In the formula, R2 e : refers to the rated resistance; X2: refers to the average value of all actual reactances at n time nodes; X2 e : refers to the rated reactance; P2 e : refers to the rated power of the bus; G2 c : refers to the number of bus failures; M2: refers to the busbar length of the busbar; β1, β2, β3, and β4 are corresponding preset weight values ​​respectively.

6. A temporary risk assessment system for important user power supply paths according to claim 5, characterized in that: The feature extraction analysis method is as follows: Select an important user. In the power supply path corresponding to the important user, for the connection path corresponding to the switch device, the feature extraction method is as follows: Step 3.1, obtain the opening and closing times, fault times, actual operation time and rated operation time of the switchgear in the specified period; Step 3.2, through the predetermined switchgear indicator calculation formula: ， Calculate the abnormal index Z3 of the switchgear; In the formula, K c : refers to the number of opening and closing times of the switch device within a specified cycle; T 31 : refers to the duration of the specified period; G3 c : refers to the number of faults corresponding to the switching device within a specified period; T 32 : refers to the actual operating time corresponding to the switchgear; T 33 : Refers to the rated operating time corresponding to the switchgear λ1, λ2, and λ3 are corresponding preset weight values ​​respectively.

7. A temporary risk assessment system for important user power supply paths according to claim 6, characterized in that: The risk assessment method is as follows: Step K.

1. Select an important user; Obtain the abnormal indicators corresponding to each connection path on the power supply path corresponding to the important user, and then mark the abnormal indicators corresponding to each connection path as Z j , j = 1, 2, ... m, m represents the number of all connection paths on the power supply path corresponding to important users, Z j Indicates the connection path number of the power supply path corresponding to the important user; Step K.2, through the predetermined risk assessment comprehensive calculation formula: , calculate the risk assessment value U of the power supply path corresponding to the important user; In the formula, μ j It is represented by the preset weight coefficient corresponding to each connection path; Step K.3, matching the risk assessment value U of the power supply path corresponding to the important user with the preset risk level determination interval, and determining the risk level of the power supply path corresponding to the important user according to the matching result; Step K.

4. According to the method of Step K.1 to Step K.3, calculate the risk assessment value of the power supply path corresponding to each important user, and determine the risk level of the power supply path corresponding to each important user based on the risk assessment value.

8. A temporary risk assessment system for important user power supply paths according to claim 7, characterized in that: in, The risk level determination range includes: Low risk level determination interval [U1, U2); Medium risk level determination interval [U2, U3); High risk level determination interval [U3, U4).

9. A temporary risk assessment system for important user power supply paths according to claim 8, characterized in that: The matching method in Step K.3 is as follows: If the risk assessment value U of the power supply path corresponding to the important user is within [U1, U2), then it is determined that the power supply path corresponding to the important user is at a low risk level; If the risk assessment value U of the power supply path corresponding to the important user is within [U2, U3), then it is determined that the power supply path corresponding to the important user is at a medium risk level; If the risk assessment value U of the power supply path corresponding to the important user is within [U3, U4], it is determined that the power supply path corresponding to the important user is at a high risk level.

10. A temporary risk assessment system for important user power supply paths according to claim 9, characterized in that: Also includes: The result output unit is used to display the abnormal indicators of each connection path in the power supply path corresponding to each important user in the power grid risk knowledge base and the risk assessment value of the power supply path corresponding to each important user to relevant personnel.

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