Risk grading method of power grid system and risk management and control system of power grid system

Abstract

The invention provides a risk grading method of a power grid system and a risk management and control system of the power grid system, and belongs to the technical field of risk grading management and control of the power grid system, and the method comprises the following steps: planning a power grid system line, and dividing the power grid system into a plurality of risk lines; respectively inputting the plurality of risk lines into a risk management and control system, and respectively setting basic risk parameters for the plurality of risk lines; basic risk parameters of adjacent risk lines are coupled based on the basic risk parameters of the main risk line, and correction risk parameters of all the risk lines are generated in a risk management and control system; based on the correction risk parameters of the risk lines, the historical maintenance parameters of the corresponding risk lines are coupled, and the multiple risk lines are divided into high-risk lines, medium-risk lines and low-risk lines according to the comprehensive risk parameters. The risk grading method for the power grid system provided by the invention is higher in accuracy, smaller in error and beneficial to risk management and control of the whole power grid system.

Description

Technical Field

[0001] The present invention belongs to the technical field of risk classification and control of power grid systems, and more specifically, relates to a risk classification method for power grid systems and a risk control system for power grid systems. Background Art

[0002] A complete power grid system is composed of various types of power plants, step-up and step-down substations, transmission lines and power users distributed in different areas and interconnected with each other. They respectively complete the production of electric energy, voltage conversion, transmission and distribution, and use of electric energy.

[0003] For the control and operation management of the power grid system, its contents include handling control matters, supervising the behavior of staff, avoiding the occurrence of power grid operation risks, etc. For the sake of safety, improving the safety level and preventing the occurrence of dangerous accidents, it is necessary to implement risk classification of the power grid system. Adhering to the principle of "protecting people, power grid and equipment", highlighting the three elements of "personnel, equipment and management", taking the protection of human life, standardizing personnel behavior and improving the quality of employees as the fundamental starting point, with the main goals of curbing personal and personnel liability accidents and reducing equipment accidents, strengthening safety education and training, strictly enforcing safety supervision and management, implementing safety risk prevention measures, improving the power grid emergency response mechanism, and carrying out anti-violation activities in depth, with "zero violation" to ensure "zero accident".

[0004] Once a power grid system fails, it may cause power outages ranging from local to large areas. The economic consequences of power outages are not only the company's loss of income or the user's power outage losses, but also indirect losses caused by social and environmental impacts. Therefore, risk classification has become a basic and important task for the safe operation of the power grid system. Regional management and control after risk classification can greatly improve the rapid elimination of power grid system risks. The existing power grid system risk rating mostly evaluates the risk level by inspecting the operating status of each area of ​​the power grid system and analyzing it based on personnel experience, which is prone to human errors and affects accuracy. Summary of the invention

[0005] The purpose of the present invention is to provide a risk grading method for a power grid system, aiming to solve the problem that the risk rating of the power grid system is mostly assessed by personnel inspecting the operating status of various areas of the power grid system and analyzing the risk level based on personnel experience, which is prone to human errors and affects the accuracy.

[0006] To achieve the above object, the technical solution adopted by the present invention is: to provide a risk classification method for a power grid system, comprising the following steps: S1: Plan the power grid system lines and divide the power grid system into several risk lines; S2: Input several risk lines into the risk management system respectively, and set basic risk parameters for several risk lines respectively; S3: Take any risk line as the main risk line, take the risk lines adjacent to the main risk line as sub-risk lines, couple the basic risk parameters of the adjacent risk lines based on the basic risk parameters of the main risk line, and generate the corrected risk parameters of each risk line in the risk management and control system; S4: Based on the corrected risk parameters of the risk lines, the historical maintenance parameters of the corresponding risk lines are coupled to obtain the comprehensive risk parameters of several risk lines, and the risk lines are divided into high-risk lines, medium-risk lines and low-risk lines according to the comprehensive risk parameters.

[0007] In a possible implementation, in step S1, when the power grid system is divided into a plurality of risk lines, there is at least one main power device on each risk line, and the area span of each risk line is not greater than 50m; Among them, if the area height of the risk line within the area span of less than 50mm is greater than 10m, a risk line is divided every 10m, and there is at least one main power equipment in each risk line; Among them, if there is only one main power equipment in the area with a height greater than 10m, it will be merged into one risk line.

[0008] In one possible implementation, in step S2, several risk lines in the input risk management system are connected in parallel and series to form a branch topology network structure, and the basic risk parameters associated with the risk lines are superimposed with different weights and projected accordingly in the branch topology network.

[0009] In a possible implementation, in step S2, the basic risk parameters include line load parameters, component reliability parameters, environmental temperature and humidity parameters, and personnel mobility parameters; Among them, the weight ratios of line load parameters, component reliability parameters, environmental temperature and humidity parameters, and personnel mobility parameters decrease in turn, and the weight ratios of line load parameters and component reliability parameters are not less than 70% of the total weight ratio.

[0010] In a possible implementation, in step S3, if the main risk line is located at the edge of the power grid system in the jurisdiction, it is necessary to add a risk line in parallel or in series with the main risk line in the power grid system in the adjacent jurisdiction as a reference risk line; Among them, the basic risk parameters of the reference risk line are coupled with the basic risk parameters of the main risk line in a way that the weight is not higher than 20%, and the basic risk parameters of the sub-risk line are coupled with the basic risk parameters of the main risk line in a way that the weight is not higher than 30%, so as to obtain the corrected risk parameters of the main risk line; If the main risk line is located inside the power grid system of the jurisdiction area, and there are at least two sub-risk lines in the power grid system of the jurisdiction area; the basic risk parameters of the at least two sub-risk lines are coupled with the basic risk parameters of the main risk line with a weight not exceeding 50%, so as to obtain the corrected risk parameters of the main risk line.

[0011] In one possible implementation, in step S3, the main risk line located at the edge of the power grid system in the jurisdiction obtains the corrective risk parameters, and the corrective risk parameters are fed back to the power grid system in the adjacent jurisdiction as reference data, and form an overall topological network structure in the form of a matrix.

[0012] In a possible implementation, in step S4, when obtaining historical maintenance parameters, firstly, a historical time period of the risk line is preset, and the number of maintenance times n, the total maintenance time t, and the total maintenance cost coefficient k of the risk line in the historical time period are counted, and the historical maintenance parameter = t ÷ n × k; Among them, if the risk line is a new line, the corrected risk parameter is used as the comprehensive risk parameter, and the historical maintenance parameter is no longer coupled.

[0013] In a possible implementation, in step S4, when a number of risk routes are divided into high-risk routes, medium-risk routes, and low-risk routes, a parameter threshold range is formed using a comprehensive risk parameter; Among them, the risk routes that are 20% to 30% before the risk threshold are defined as low-risk routes, the risk routes that are 20% to 30% after the risk threshold are defined as high-risk routes, and the risk routes within the remaining risk threshold range are defined as medium-risk routes.

[0014] In a possible implementation, in step S4, after the high-risk routes, medium-risk routes and low-risk routes are divided, the specific risk source data in the comprehensive risk parameters are matched with the corresponding risk routes to generate a risk dynamic map; Among them, the risk dynamic map uses lines or modules of different shapes to distinguish risk lines, uses different colors to distinguish risk levels, and uses dot patterns to distinguish risk parameters and correspond to risk source data.

[0015] The beneficial effect of a risk grading method for a power grid system provided by the present invention is that: compared with the prior art, firstly, the power grid system lines are planned, and the power grid system is divided into several risk lines; then, several risk lines are respectively input into the risk management and control system, and basic risk parameters are respectively set for several risk lines; then, any risk line is taken as the main risk line, and the risk line adjacent to the main risk line is taken as the sub-risk line, and the basic risk parameters of the adjacent risk lines are coupled based on the basic risk parameters of the main risk line, and the corrected risk parameters of each risk line are generated in the risk management and control system; finally, the historical maintenance parameters of the corresponding risk lines are coupled based on the corrected risk parameters of the risk lines, so as to obtain the comprehensive risk parameters of several risk lines, and the several risk lines are divided into high-risk lines, medium-risk lines and low-risk lines according to the comprehensive risk parameters. A risk grading method for a power grid system provided by the present invention divides the risk lines, combines the basic risk parameters and couples the basic risk parameters of the adjacent risk lines to obtain the corrected risk parameters, and finally obtains the comprehensive risk parameters by combining the historical maintenance parameters, and performs risk grading on several risk lines based on the comprehensive risk parameters, so as to achieve the purpose of accurately dividing high-risk lines, medium-risk lines and low-risk lines. The present invention provides a risk grading method for a power grid system, which does not need to rely on personnel to check the operating status of each area of ​​the power grid system and personnel experience to assess the risk level. It has higher accuracy and smaller errors, which is beneficial to the risk management of the entire power grid system.

[0016] The present invention also provides a risk management and control system for a power grid system, and the risk management and control system for a power grid system is applied to the risk grading method for the power grid system.

[0017] The beneficial effect of the risk management system of a power grid system provided by the present invention is that: compared with the prior art, the risk management system of the power grid system is applied to the risk grading method of the above-mentioned power grid system, and participates in the data input, data analysis and data feedback of the risk grading method of the power grid system, thereby promoting the smooth operation of the risk grading method of the power grid system. The risk management system of a power grid system provided by the present invention can also achieve the beneficial effect of the risk grading method of the above-mentioned power grid system, by dividing the risk lines, combining the basic risk parameters and coupling the basic risk parameters of the adjacent risk lines to obtain the corrected risk parameters, and finally combining the historical maintenance parameters to obtain the comprehensive risk parameters, and taking the comprehensive risk parameters as the benchmark to perform risk grading on several risk lines, thereby achieving the purpose of accurately dividing high-risk lines, medium-risk lines and low-risk lines. The risk management system of a power grid system provided by the present invention does not need to rely on personnel to check the operating status of each area of ​​the power grid system and personnel experience to evaluate the risk level, and has higher accuracy and smaller errors, which is beneficial to the risk management of the entire power grid system. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative work.

[0019] Figure 1 A schematic diagram of the structure of a risk classification method for a power grid system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] Unless explicitly defined otherwise, the use of terms such as "first," "second," or "third," etc., are intended to distinguish different objects rather than to describe a specific order.

[0022] Unless otherwise expressly defined, directional words such as the terms "center", "lateral", "longitudinal", "horizontal", "vertical", "top", "bottom", "inside", "outside", "up", "down", "front", "back", "left", "right", "clockwise", "counterclockwise", "high", "low", etc., indicating directions or positional relationships are based on the directions and positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction or be constructed and operated in a specific direction, so they cannot be understood as limiting the specific scope of protection of the present invention.

[0023] See also Figure 1 Now, a risk classification method for a power grid system provided by the present invention is described. The risk classification method for a power grid system comprises the following steps: S1: Plan the power grid system lines and divide the power grid system into several risk lines; S2: Input several risk lines into the risk management system respectively, and set basic risk parameters for several risk lines respectively; S3: Take any risk line as the main risk line, take the risk lines adjacent to the main risk line as sub-risk lines, couple the basic risk parameters of the adjacent risk lines based on the basic risk parameters of the main risk line, and generate the corrected risk parameters of each risk line in the risk management and control system; S4: Based on the corrected risk parameters of the risk lines, the historical maintenance parameters of the corresponding risk lines are coupled to obtain the comprehensive risk parameters of several risk lines, and the risk lines are divided into high-risk lines, medium-risk lines and low-risk lines according to the comprehensive risk parameters.

[0024] The present invention provides a risk grading method for a power grid system. Compared with the prior art, the present invention first plans the power grid system lines and divides the power grid system into several risk lines; then, the several risk lines are respectively input into the risk management and control system, and basic risk parameters are respectively set for the several risk lines; then, any risk line is taken as the main risk line, and the risk line adjacent to the main risk line is taken as the sub-risk line, and the basic risk parameters of the adjacent risk lines are coupled based on the basic risk parameters of the main risk line, and the corrected risk parameters of each risk line are generated in the risk management and control system; finally, the historical maintenance parameters of the corresponding risk lines are coupled based on the corrected risk parameters of the risk lines, so as to obtain the comprehensive risk parameters of the several risk lines, and the several risk lines are divided into high-risk lines, medium-risk lines and low-risk lines according to the comprehensive risk parameters. The present invention provides a risk grading method for a power grid system. By dividing the risk lines, combining the basic risk parameters and coupling the basic risk parameters of the adjacent risk lines to obtain the corrected risk parameters, and combining the historical maintenance parameters to finally obtain the comprehensive risk parameters, the comprehensive risk parameters are used as the basis for risk grading the several risk lines, so as to achieve the purpose of accurately dividing the high-risk lines, medium-risk lines and low-risk lines. The present invention provides a risk grading method for a power grid system, which does not need to rely on personnel to check the operating status of each area of ​​the power grid system and personnel experience to assess the risk level. It has higher accuracy and smaller errors, which is beneficial to the risk management of the entire power grid system.

[0025] In some possible embodiments, in step S1, when the power grid system is divided into a plurality of risk lines, there is at least one main power equipment on each risk line, and the area span of each risk line is not greater than 50m.

[0026] Among them, if the area height of the risk line within the area span of less than 50mm is greater than 10m, a risk line is divided every 10m, and there is at least one main power equipment in each risk line; Among them, if there is only one main power equipment in the area with a height greater than 10m, it will be merged into one risk line.

[0027] Major power equipment refers to power supply equipment, transformers (substations), switchgear (distribution cabinets), and power-consuming equipment (user end). In addition, areas where power components such as capacitors and resistors are relatively concentrated are also defined as major power equipment, that is, areas with more than or equal to 10 power components in a cube.

[0028] In some possible embodiments, in step S2, several risk lines in the input risk management system are connected in parallel and in series to form a branch topology network structure, and the basic risk parameters associated with the risk lines are superimposed with different weights and projected accordingly in the branch topology network.

[0029] In some possible embodiments, in step S2, the basic risk parameters include line load parameters, component reliability parameters, environmental temperature and humidity parameters, and personnel mobility parameters; Among them, the weight ratios of line load parameters, component reliability parameters, environmental temperature and humidity parameters, and personnel mobility parameters decrease in turn, and the weight ratios of line load parameters and component reliability parameters are not less than 70% of the total weight ratio.

[0030] The line load parameter is determined with reference to the line fire risk coefficient and is calculated using the formula R=ρL / S. Among them, ρ is the conductor resistivity, L is the conductor length, and S is the conductor cross-sectional area. It can be seen that the larger the conductor cross-sectional area, the greater the resistance, the less heat generated, and the smaller the fire risk, that is, the smaller the value of the line load parameter. Conversely, the greater the fire risk, the greater the value of the line load parameter.

[0031] The reliability parameter of components is determined based on the service life of power components. The longer the service life of power components, the smaller the value of component reliability parameter. Conversely, the shorter the service life of power components, the larger the value of component reliability parameter.

[0032] The ambient temperature and humidity parameters are determined based on the temperature and humidity of the environment where the risk line is located. First, the ambient temperature and humidity match the preset standard temperature and humidity values ​​of the corresponding risk line. The greater the difference between the actual temperature and humidity values ​​and the standard temperature and humidity values, the greater the value of the ambient temperature and humidity parameters. Conversely, the smaller the difference between the actual temperature and humidity values ​​and the standard temperature and humidity values, the smaller the value of the ambient temperature and humidity parameters.

[0033] The personnel mobility parameter is determined by the number and frequency of personnel mobility in the environment where the risk line is located. The greater the number and frequency of personnel mobility, the greater the personnel mobility parameter. Conversely, the smaller the number and frequency of personnel mobility, the smaller the personnel mobility parameter.

[0034] In some possible embodiments, in step S3, if the main risk line is located at the edge of the power grid system in the jurisdiction, it is necessary to add a risk line in parallel or in series with the main risk line in the power grid system in the adjacent jurisdiction as a reference risk line; Among them, the basic risk parameters of the reference risk line are coupled with the basic risk parameters of the main risk line in a way that the weight is not higher than 20%, and the basic risk parameters of the sub-risk line are coupled with the basic risk parameters of the main risk line in a way that the weight is not higher than 30%, so as to obtain the corrected risk parameters of the main risk line; If the main risk line is located inside the power grid system of the jurisdiction area, and there are at least two sub-risk lines in the power grid system of the jurisdiction area; the basic risk parameters of the at least two sub-risk lines are coupled with the basic risk parameters of the main risk line with a weight not exceeding 50%, so as to obtain the corrected risk parameters of the main risk line.

[0035] Specifically, the present invention takes the local power grid system as the research object, and the adjacent power grid system needs to be effectively superimposed with the current power grid system. Considering that the controllability of the adjacent power grid system is difficult to determine under different circumstances, the basic risk parameters of the reference risk line are defined with a weight not higher than 20% of the overall weight. In the specific use of the risk grading method of the power grid system provided by the present invention, the weight ratio can be appropriately adjusted according to the controllability of the adjacent power grid system.

[0036] In some possible embodiments, in step S3, the main risk line located at the edge of the power grid system in the jurisdiction to which it belongs obtains the corrected risk parameters, and the corrected risk parameters are fed back to the power grid system in the adjacent jurisdiction as reference data, and form an overall topological network structure in the form of a matrix.

[0037] In some possible embodiments, in step S4, when obtaining historical maintenance parameters, the historical time period of the risk line is first preset, and the number of maintenance times n, the total maintenance time t, and the total maintenance cost coefficient k of the risk line in the historical time period are counted, and the historical maintenance parameter = t ÷ n × k.

[0038] Among them, if the risk line is a new line, the corrected risk parameter is used as the comprehensive risk parameter, and the historical maintenance parameter is no longer coupled.

[0039] The total maintenance cost coefficient is introduced into the calculation of historical maintenance parameters in order to take into account the maintenance cost of the power grid system. The historical maintenance parameters are expressed by the product of the duration of a single maintenance and the cost coefficient. While considering the maintenance efficiency, the maintenance cost must also be taken into account.

[0040] In some possible embodiments, in step S4, when a number of risk routes are divided into high-risk routes, medium-risk routes and low-risk routes, a parameter threshold range is formed using a comprehensive risk parameter; Among them, the risk routes that are 20% to 30% before the risk threshold are defined as low-risk routes, the risk routes that are 20% to 30% after the risk threshold are defined as high-risk routes, and the risk routes within the remaining risk threshold range are defined as medium-risk routes.

[0041] When dividing several risk lines into high-risk lines, medium-risk lines and low-risk lines, the proportion of high-risk lines and low-risk lines must be lower than the proportion of medium-risk lines in the entire power grid system. This can highlight high-risk lines and concentrate high-frequency inspections, while for low-risk lines, the inspection frequency can be reduced, personnel can be reasonably assigned, and efficiency can be improved.

[0042] In some possible embodiments, in step S4, after the high-risk routes, medium-risk routes and low-risk routes are divided, the specific risk source data in the comprehensive risk parameters are matched with the corresponding risk routes and a risk dynamic map is generated; Among them, the risk dynamic map uses lines or modules of different shapes to distinguish risk lines, uses different colors to distinguish risk levels, and uses dot patterns to distinguish risk parameters and correspond to risk source data.

[0043] Operators can more intuitively determine risk routes of different levels and reasonably allocate the frequency of inspections for different risk routes. At the same time, during specific inspections, they can pay attention to investigations according to risk sources to improve the efficiency of risk investigations.

[0044] Based on the same inventive concept, the present invention also provides a risk management and control system for a power grid system, and the risk management and control system for a power grid system is applied to the risk grading method for the power grid system.

[0045] The beneficial effect of the risk management system of a power grid system provided by the present invention is that: compared with the prior art, the risk management system of the power grid system is applied to the risk grading method of the above-mentioned power grid system, and participates in the data input, data analysis and data feedback of the risk grading method of the power grid system, thereby promoting the smooth operation of the risk grading method of the power grid system. The risk management system of a power grid system provided by the present invention can also achieve the beneficial effect of the risk grading method of the above-mentioned power grid system, by dividing the risk lines, combining the basic risk parameters and coupling the basic risk parameters of the adjacent risk lines to obtain the corrected risk parameters, and finally combining the historical maintenance parameters to obtain the comprehensive risk parameters, and taking the comprehensive risk parameters as the benchmark to perform risk grading on several risk lines, thereby achieving the purpose of accurately dividing high-risk lines, medium-risk lines and low-risk lines. The risk management system of a power grid system provided by the present invention does not need to rely on personnel to check the operating status of each area of ​​the power grid system and personnel experience to evaluate the risk level, and has higher accuracy and smaller errors, which is beneficial to the risk management of the entire power grid system.

[0046] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A risk classification method for a power grid system, characterized in that: The following steps are involved: S1: Plan the power grid system lines and divide the power grid system into several risk lines; S2: Input several risk lines into the risk management system respectively, and set basic risk parameters for several risk lines respectively; S3: Take any risk line as the main risk line, take the risk lines adjacent to the main risk line as sub-risk lines, couple the basic risk parameters of the adjacent risk lines based on the basic risk parameters of the main risk line, and generate the corrected risk parameters of each risk line in the risk management and control system; S4: Based on the corrected risk parameters of the risk lines, the historical maintenance parameters of the corresponding risk lines are coupled to obtain the comprehensive risk parameters of several risk lines, and the risk lines are divided into high-risk lines, medium-risk lines and low-risk lines according to the comprehensive risk parameters.

2. A risk classification method for a power grid system according to claim 1, characterized in that: In step S1, when the power grid system is divided into several risk lines, there is at least one main power equipment on each risk line, and the area span of each risk line is not greater than 50m; Among them, if the area height of the risk line within the area span of less than 50mm is greater than 10m, a risk line is divided every 10m, and there is at least one main power equipment in each risk line; Among them, if there is only one main power equipment in the area with a height greater than 10m, it will be merged into one risk line.

3. A risk classification method for a power grid system according to claim 1, characterized in that: In step S2, a plurality of risk lines in the input risk management system are connected in parallel and in series to form a branch topology network structure, and basic risk parameters associated with the risk lines are superimposed in a manner of different weights and projected into the branch topology network accordingly.

4. A risk classification method for a power grid system according to claim 3, characterized in that: In step S2, the basic risk parameters include line load parameters, component reliability parameters, environmental temperature and humidity parameters, and personnel mobility parameters; Among them, the weight ratios of line load parameters, component reliability parameters, environmental temperature and humidity parameters, and personnel mobility parameters decrease in turn, and the weight ratios of line load parameters and component reliability parameters are not less than 70% of the total weight ratio.

5. A risk classification method for a power grid system according to claim 1, characterized in that: In step S3, if the main risk line is located at the edge of the power grid system in the jurisdiction, it is necessary to add risk lines in the power grid system in the adjacent jurisdiction that are connected in parallel or in series with the main risk line as reference risk lines; Among them, the basic risk parameters of the reference risk line are coupled with the basic risk parameters of the main risk line in a way that the weight is not higher than 20%, and the basic risk parameters of the sub-risk line are coupled with the basic risk parameters of the main risk line in a way that the weight is not higher than 30%, so as to obtain the corrected risk parameters of the main risk line; If the main risk line is located inside the power grid system of the jurisdiction area, and there are at least two sub-risk lines in the power grid system of the jurisdiction area; the basic risk parameters of the at least two sub-risk lines are coupled with the basic risk parameters of the main risk line with a weight not exceeding 50%, so as to obtain the corrected risk parameters of the main risk line.

6. A risk classification method for a power grid system according to claim 5, characterized in that: In step S3, the main risk line at the edge of the power grid system in the jurisdiction obtains the corrected risk parameters, which are fed back to the power grid system in the adjacent jurisdiction as reference data, and form an overall topological network structure in the form of a matrix.

7. A risk classification method for a power grid system according to claim 1, characterized in that: In step S4, when obtaining historical maintenance parameters, firstly, the historical time period of the risk line is preset, and the number of maintenance times n, the total maintenance time t, and the total maintenance cost coefficient k of the risk line in the historical time period are counted, and the historical maintenance parameter = t ÷ n × k; Among them, if the risk line is a new line, the corrected risk parameter is used as the comprehensive risk parameter, and the historical maintenance parameter is no longer coupled.

8. A risk classification method for a power grid system according to claim 1, characterized in that: In step S4, when a plurality of risk routes are divided into high-risk routes, medium-risk routes and low-risk routes, a parameter threshold range is formed by using a comprehensive risk parameter; Among them, the risk routes that are 20% to 30% before the risk threshold are defined as low-risk routes, the risk routes that are 20% to 30% after the risk threshold are defined as high-risk routes, and the risk routes within the remaining risk threshold range are defined as medium-risk routes.

9. A risk classification method for a power grid system according to claim 1, characterized in that: In step S4, after the high-risk lines, medium-risk lines and low-risk lines are divided, the specific risk source data in the comprehensive risk parameters are matched with the corresponding risk lines to generate a risk dynamic map; Among them, the risk dynamic map uses lines or modules of different shapes to distinguish risk lines, uses different colors to distinguish risk levels, and uses dot patterns to distinguish risk parameters and correspond to risk source data.

10. A risk management system for a power grid system, characterized in that: The risk management and control system of the power grid system is applied to the risk grading method of the power grid system as described in any one of claims 1-9.

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