CN113780764A - Formula-driven power grid accident risk level evaluation method - Google Patents
Formula-driven power grid accident risk level evaluation method Download PDFInfo
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Abstract
The invention relates to a formula-driven power grid accident event risk level evaluation method, and belongs to the technical field of power systems and automation thereof. The method comprises four parts of defining a general data type, defining an accident event evaluation report under a fault condition, establishing various accident event grade discrimination formulas and applying the discrimination formulas to the evaluation of the risk grade of the power grid accident event. According to the method, the original complicated work of manually evaluating the accident level under the power grid fault is changed into the automatic checking by adopting a computer discrimination formula, so that the working efficiency and the accuracy of evaluating the risk level of the accident event are greatly improved, and the method is easy to popularize and apply.
Description
Technical Field
The invention belongs to the technical field of power systems and automation thereof, and particularly relates to a formula-driven power grid accident event risk level evaluation method.
Background
The electric power safety accidents seriously harm the life and property safety of people, and the frequent large-scale power failure accidents abroad sound the alarm clock for people. The risk assessment and early warning analysis of the power accident events with different time scales are important means for current power grid risk management and control, and meanwhile, reference can be provided for power grid planning and construction.
According to the severity of the fault consequence, the electric power safety accident events are divided into two categories, namely accidents and events, wherein the accidents are divided into 4 levels of particularly major accidents, major accidents and general accidents from high to low according to the severity of the consequence; the event is divided into 8 levels including a first level, a second level, a third level, a fourth level, a fifth level, a sixth level, a seventh level and an eighth level. The type judgment of the accident (event) needs to be comprehensively judged according to various conditions such as the region type (province level, general district level city, county level city and the like), the total load, the total number of users, the reduction and supply load and proportion, the number of power failure users, the proportion of the power failure users, the power failure time length, the reduction and supply user level (special level, first level, second level and the like), the voltage level and the number of the voltage-loss transformer substation and the like.
At present, a large number of research achievements exist in power grid risk early warning analysis and information management, but some problems generally exist, so that the domestic provincial power grid generally lacks an application system with high flexibility and strong practicability in the aspect of accident event risk management. These problems are mainly manifested in:
1) accident event types defined in the regulation are many, conditions required to be judged are many, the judgment logic is complex, and unified information management is difficult;
2) along with the development of a power grid, the reported content and precision of accident events change frequently, most information systems are designed according to fixed projects and judgment conditions, and the requirements of continuous development and change are difficult to adapt;
3) existing research generally only targets a single scheduling authority and focuses on information management; and few grid accident event risk management information systems for provincial and regional two-stage user integrated management.
Therefore, how to overcome the defects of the prior art is a problem which needs to be solved in the technical field of the current power system and the automation thereof.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to solve the technical problem of providing a method for effectively reducing the evaluation difficulty of the grade of the accident event under the power grid fault, being capable of adapting to the requirement of reporting precision change development of the risk of the accident event of the power grid and improving the evaluation efficiency of the grade of the accident event under the power grid fault. The method is based on user-defined data types, and a self-defined evaluation formula of the accident event risk level is established, so that the power grid accident risk level evaluation based on formula driving is realized.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a formula-driven power grid accident risk level assessment method comprises the following steps:
step (1), defining a general data type, and defining each information required by judging the grade of all accident events as a data type;
step (2), defining an accident event judgment report under the fault condition, wherein each column of the report consists of the general data type defined in the step (1);
step (3), converting the power accident event discrimination requirements into corresponding discrimination formulas, thereby establishing an accident event grade discrimination formula library;
step (4), traversing all formulas in an accident event grade discrimination formula library aiming at the reported power grid fault information, extracting data required in the formulas from the reported fault information, then judging whether the loss caused by the fault meets the corresponding accident event discrimination standard, if so, considering that the fault forms the accident event of the corresponding grade, and adding the accident event grade to a list meeting the conditions; and after traversing all accident event grade discrimination formulas, extracting the highest grade from the accident event grade list meeting the conditions as the accident event grade finally formed by the fault.
Further, in step (1), the data type preferably includes a data type id, a data type name, and a data format.
Further, it is preferable that the data type name includes a region type, a faulty component, a region load, a number of region users, a reduction in supply load ratio, a number of power outage users, and a power outage user ratio.
Further, it is preferable that the data format consists of basic data type + data length and/or precision; the basic data types include integer type, floating point type, character string type, radio box, and check box.
Further, it is preferable that the specific method of the step (2) is: on the basis of the general data type, defining a report structure, and determining the data type id of each column and the sequence of each column of the report; then, a report data table is established, the report to which the data table belongs is determined through the report id, a piece of fault information is determined through the fault number, the data type to which the data table belongs is determined through the data type id, and the value is defined through the value.
Further, it is preferable that the specific method of step (3) is:
step (3.1), getValue (data id) is used as a method for acquiring a specific value in a fault reporting record, wherein the data id is the id of a well-defined general data type;
and (3.2) converting the discrimination logic of the accident event grade into a discrimination formula corresponding to the expression mode of the step (3.1).
If the province and the autonomous region power grid supply reduction load of more than 30% with the load of more than 20000MW is defined as a particularly serious accident, the judgment formula defined for the accident event is as follows: getValue (region type id) = = = 'province, autonomous region' & & getValue (region load id) > =20000 & & getValue (load reduction proportion data id) > = 0.3; in the formula, "region type id", "region load id", and "load reduction ratio data id" are all the common data types id defined above.
Further, it is preferable that the specific method of step (4) is:
step (4.1), traversing all accident event grade discrimination formulas aiming at a certain power grid fault;
step (4.2), for a certain accident event grade, acquiring a discrimination formula of the accident event grade; then acquiring all required data information of the discrimination formula from the fault information; analyzing each data into a corresponding value according to the corresponding data type id, and then judging whether the requirement of a discrimination formula is met or not; if the judgment result is not satisfied, the fault is not formed into the accident event; if the judgment result is satisfied, the fault is indicated to satisfy the accident event grade standard, the accident event is added to an accident event grade set caused by the fault, and then the next accident event grade judgment is checked;
step (4.3), after all accident event grades are judged, if the accident event grade set of the fault is empty, the fault is considered not to form any accident event; otherwise, sorting the accident event grade set from high to low according to the severity, and selecting the accident event grade with the highest grade as the accident event grade caused by the fault.
Further, in the step (4.2), it is preferable that the judgment is performed by using eval function.
If the total load of a certain province is 25000MW, the number of regional users is 200000, under the N-1 fault that element "A" constitutes, the supply reduction load that causes is 4000MW, and the corresponding load loss proportion is 0.16, and the number of the power failure users that cause is 10000, to the discriminant formula: getValue (region type id) = = = 'province, autonomous region' & & getValue (region load id) > =20000 & & getValue (load reduction proportion data id) > =0.3, and the expression after the formula is assigned is as follows: 'province, autonomous region' = = 'province, autonomous region' & & 25000> =20000 & & 0.16> =0.3, and calling the eval function calculates the return value of the expression to be false, indicating that the fault does not constitute the accident event.
The invention relates to a formula-driven power grid accident risk grade assessment method, which comprises four parts of defining a general data type, defining an accident event assessment report under a fault condition, establishing various accident event grade discrimination formulas and applying the discrimination formulas to power grid accident event risk grade assessment.
(1) Establishing generic data types
A general data type is designed for describing each reported item in an accident event report under the power grid fault, a data type id, a data type name and a data format are defined, basic data types are supported through the data format column, for example, an integer type is represented at the beginning of 'I', a floating point type is represented at the beginning of 'F', a character string type is represented at the beginning of 'S', and the length and the precision of data can be followed after the corresponding basic data types; besides, the type expansion can be carried out by adopting a radio box at the beginning of R and a check box at the beginning of C; in addition, data types calculated by formulas are also supported, such as "getValue (data type id1) -getValue (data type id 2)", wherein "data type id" is the id of a defined data type, thereby greatly enriching the data type support range.
(2) Defining incident event rating evaluation report
On the basis of the general data type, defining a report structure, and determining the data type id of each column and the sequence of each column of the report; then, a report data table is established, the report to which the data table belongs is determined through the report id, a piece of fault information is determined through the fault number, the data type to which the data table belongs is determined through the data type id, and the value is defined through the value. The relation among the tables is shown in fig. 1, and self-definition and flexible expansion of the report are realized through data type expansion, report type expansion and report data column expansion.
(3) Establishing an accident event risk level discrimination formula library based on a user-defined formula
And adding a discrimination formula for each accident event risk level for maintaining a specific accident risk level evaluation library. The formula is defined by converting the discrimination logic of the accident event grade into a character string, the character string expresses the discrimination items of the accident event grade in the regulation in a function or variable mode, and the discrimination items are connected by utilizing a logic operational character. Through the accident event grade discrimination formula library, on one hand, complex discrimination conditions can be converted into more intuitive discrimination formulas, on the other hand, when the regulation changes, the regulation can be very conveniently revised and expanded, the expandability is greatly increased, meanwhile, the condition that the accident event grade is manually discriminated one by one can be avoided, and the accuracy of accident event grade evaluation is greatly improved.
(4) And applying the formula to the evaluation of the risk level of the power grid accident event.
And traversing all formulas in the accident event risk level evaluation formula library aiming at the power grid fault information reported by the user. For a certain formula, extracting data required in the formula from reported fault information, calling an eval function in a programming language to evaluate whether loss caused by the fault meets a corresponding accident event judgment standard, if so, considering that the fault forms an accident event of a corresponding grade, and adding the grade of the accident event into a list meeting conditions. And after traversing all accident event grade discrimination formulas, extracting the highest grade from the accident event grade list meeting the conditions as the accident event grade finally formed by the fault.
Compared with the prior art, the invention has the beneficial effects that:
(1) according to the method, the original complicated work of manually evaluating the accident level under the power grid fault is changed into the automatic check by adopting a computer discrimination formula, so that the working efficiency and the accuracy of evaluating the risk level of the accident event are greatly improved;
(2) the invention can flexibly define the specific formula of the accident event grade evaluation according to the requirement of the power grid regulation, and is convenient to expand;
(3) the invention can embed the discrimination formula into a specific power grid accident risk reporting system, and can also extract corresponding formula discrimination data after being embedded into other programs to judge the grade of the event.
Drawings
FIG. 1 is a diagram illustrating the relationship between the custom report database entities.
FIG. 2 is a diagram illustrating custom data types.
FIG. 3 is a diagram of a report structure of N-1.
Fig. 4 is a schematic diagram of reporting a single piece of fault information.
FIG. 5 is a flow chart of incident event discrimination based on custom formulas; where n is the number of incident events.
Detailed Description
The present invention will be described in further detail with reference to examples.
It will be appreciated by those skilled in the art that the following examples are illustrative of the invention only and should not be taken as limiting the scope of the invention. The examples do not specify particular techniques or conditions, and are performed according to the techniques or conditions described in the literature in the art or according to the product specifications. The materials or equipment used are not indicated by manufacturers, and all are conventional products available by purchase.
A formula-driven power grid accident risk level assessment method comprises the following steps:
step (1), defining a general data type, and defining each information required by judging the grade of all accident events as a data type;
step (2), defining an accident event judgment report under the fault condition, wherein each column of the report consists of the general data type defined in the step (1);
step (3), converting the power accident event discrimination requirements into corresponding discrimination formulas, thereby establishing an accident event grade discrimination formula library;
step (4), traversing all formulas in an accident event grade discrimination formula library aiming at the reported power grid fault information, extracting data required in the formulas from the reported fault information, then judging whether the loss caused by the fault meets the corresponding accident event discrimination standard, if so, considering that the fault forms the accident event of the corresponding grade, and adding the accident event grade to a list meeting the conditions; and after traversing all accident event grade discrimination formulas, extracting the highest grade from the accident event grade list meeting the conditions as the accident event grade finally formed by the fault.
In the step (1), the data type includes a data type id, a data type name and a data format.
The data type name comprises an area type, a fault element, an area load, an area user number, a reduced supply load proportion, a power failure user number and a power failure user number proportion.
The data format consists of basic data type + data length and/or precision; the basic data types include integer type, floating point type, character string type, radio box, and check box.
The specific method of the step (2) is as follows: on the basis of the general data type, defining a report structure, and determining the data type id of each column and the sequence of each column of the report; then, a report data table is established, the report to which the data table belongs is determined through the report id, a piece of fault information is determined through the fault number, the data type to which the data table belongs is determined through the data type id, and the value is defined through the value.
The specific method of the step (3) is as follows:
step (3.1), getValue (data id) is used as a method for acquiring a specific value in a fault reporting record, wherein the data id is the id of a well-defined general data type;
and (3.2) converting the discrimination logic of the accident event grade into a discrimination formula corresponding to the expression mode of the step (3.1).
If the province and the autonomous region power grid supply reduction load of more than 30% with the load of more than 20000MW is defined as a particularly serious accident, the judgment formula defined for the accident event is as follows: getValue (region type id) = = = 'province, autonomous region' & & getValue (region load id) > =20000 & & getValue (load reduction proportion data id) > = 0.3; in the formula, "region type id", "region load id", and "load reduction ratio data id" are all the common data types id defined above.
The specific method of the step (4) is as follows:
step (4.1), traversing all accident event grade discrimination formulas aiming at a certain power grid fault;
step (4.2), for a certain accident event grade, acquiring a discrimination formula of the accident event grade; then acquiring all required data information of the discrimination formula from the fault information; analyzing each data into a corresponding value according to the corresponding data type id, and then judging whether the requirement of a discrimination formula is met or not; if the judgment result is not satisfied, the fault is not formed into the accident event; if the judgment result is satisfied, the fault is indicated to satisfy the accident event grade standard, the accident event is added to an accident event grade set caused by the fault, and then the next accident event grade judgment is checked;
step (4.3), after all accident event grades are judged, if the accident event grade set of the fault is empty, the fault is considered not to form any accident event; otherwise, sorting the accident event grade set from high to low according to the severity, and selecting the accident event grade with the highest grade as the accident event grade caused by the fault.
In the step (4.2), the eval function is adopted for judgment during judgment.
The development of risk early warning analysis of power accident events under faults is an important measure for risk prevention and control of power grid companies. Accident event grade division standards specified by accident event regulations established by power grid companies are complex and need to be flexibly expanded according to power dispatching requirements. The invention has the basic idea that the flexible expansion of the accident event report is realized through a user-defined general data structure, and the accident event judgment standard is converted into a user-defined formula on the basis of the user-defined general data structure, so that the power grid accident risk grade judgment based on formula driving is realized. The invention is further described below with reference to the accompanying drawings, in which:
1. a general data type is defined, the data type comprises a data type id, a data type name and a data format, wherein the data format is used for supporting basic data types and precision, such as numerical type, Boolean type and character type, and simultaneously supporting the type obtained by calculating other data by adopting a formula, thereby greatly enriching the supporting range of the data type.
2. On the basis of the general data type, each kind of information required for all accident event level determination is defined as one data type.
3. And defining an accident event judgment report under the fault condition on the basis of the general data types, wherein each column of the report designates a corresponding data type id, and the report is used for a user to report the power grid fault information.
4. And establishing an accident event grade discrimination formula library. And for the accident event grade under each power grid fault condition, expressing the judgment standard in the accident event regulation as a formula on the basis of the data type defined above. Such as:
the judgment standard of a certain accident in the accident event regulation is as follows:
"the province and the autonomous region power network with the load above 20000MW reduces the supply load by more than 30% and defines as the particularly serious accident"
Then the corresponding discriminant is defined:
getValue (region type id) = = = 'province, autonomous region' & & getValue (region load id) > =20000 & & getValue (load reduction ratio data id) > =0.3
In the formula, "area type id", "area load id", and "load reduction proportion data id" are all the above-defined general data types id, and "getValue (data id)" is a method for obtaining a specific value in an accident event reported by a user according to the data id.
5. And applying the discrimination formula library to the accident event grade discrimination under the power grid fault condition.
1) And traversing all accident event grade discriminants aiming at a certain power grid fault.
2) For a specific accident event grade discrimination formula, acquiring a discrimination formula of the accident event grade; and then all the required data information of the formula is obtained from the fault information. And analyzing the value of the getValue according to the corresponding data type id, replacing all the getValue in the formula with corresponding numerical values, calling the eval function to calculate the formula result, and evaluating whether the formula requirement is met.
3) If the eval return result is true, the fault is considered to meet the accident event grade standard, the accident event is added to an accident event grade set caused by the fault, and if the eval return result is Flase, the fault is considered to not meet the accident event grade standard; and then the next accident event level decision is checked.
4) After all accident event grades are judged, if the accident event grade set of the fault is empty, the fault is considered not to form any accident event; otherwise, sorting the accident event grade set from high to low according to the severity, and selecting the accident event grade with the highest grade as the accident event grade caused by the fault.
Examples of the applications
The Yunnan power grid is a main sending end power grid of a southeast line of western electricity in China, and by the end of 2020, the power installation of the Yunnan province exceeds 1 hundred million kW, and besides power transmission to the Yunnan province, the Yunnan province also transmits power to the east coastal province in an asynchronous networking mode through 4-turn +/-800 kV and 5-turn +/-500 kV ultrahigh-voltage direct-current power transmission lines, and transmits power to the Vietnam and Laos through a plurality of alternating-current lines. The main power grid in the Yunnan power grid province is weak, the 'strong and weak intersection' contradiction is outstanding, the renewable energy large-scale grid connection in recent years brings new challenges to the safe and stable operation of the power grid, the accident risk problem under the power grid fault is outstanding, and the investigation and analysis of the risk of the power grid accident event are very necessary. In the past, provincial dispatching and 17 local dispatching mechanisms of a Yunnan power grid company respectively report accident event risks through Excel, and then the provincial dispatching summarizes data reported by the local dispatching, the accident event risk records reported every year are close to 2000, but because the accident event distinguishing conditions are complex, the traditional mode of manually reporting through Excel and manually distinguishing the accident event grade is not only low in efficiency, but also inaccurate in accident event grade distinguishing, and difficult to meet the dispatching management requirements of the power grid company. The invention universalizes the report forms of the reported accident events, realizes flexible discrimination expansion, avoids discrimination by manpower, and greatly improves the risk reporting efficiency of the accident events and the accuracy rate of the grade discrimination of the accident events. The invention is further described below in the context of the Yunnan electric network company in connection with an example.
1. A generic data type is defined and every information required for all incident class decisions is defined as one data type. Such as: for the region type, id is given as "id 1", the data type is S100, which means that the data is character type, and the maximum length is 100 bytes; for "regional load", given id "id 3", data type F8.2 indicates that the data is numeric with a maximum length of 8, leaving 2 decimal places. The basic data type definitions are shown in fig. 2.
2. And defining an accident event judgment report under the fault condition, wherein each column consists of the general data types defined in the previous step. If the fault report form of 'N-1', the columns contained from front to back in sequence are as follows: the system comprises an area type, a fault element, an area load, an area user number, a reduced supply load proportion, a power failure user number and a power failure user number proportion. The report definition is shown in figure 3.
3. Establishing an accident event grade custom discrimination formula library, and establishing a discrimination formula corresponding to an accident event according to the power accident event investigation requirements of a power grid company, wherein the discrimination formula comprises the following steps:
1) if the judgment standard is as follows: "the province and the autonomous region with the total load above 20000MW reduces the particularly serious accident with the load above 30%, the following formula (1) can be established:
(a) the formula expression is as follows: getValue (id1) = = = 'province, autonomous area' & & getValue (id3) > =20000 & & getValue (id6) > =0.3
(b) Accident event rating: particularly serious accidents.
2) For example, "province and municipality with total load above 20000MW, major accident with supply reduction load above 13% and less than 30%", the following formula (2) can be established:
(a) the formula expression is as follows: getValue (id1) = = = 'province, autonomous area' & & getValue (id3) > =20000 & & getValue (id6) > =0.13 & & getValue (id6) <0.3
(b) Accident event rating: a major accident.
3) For example, "province and municipality with total load above 20000MW, major accident with reduction load above 10% and less than 13%", the following formula (3) can be established:
(a) the formula expression is as follows: getValue (id1) = = = 'province, autonomous area' & & getValue (id3) > =20000 & & getValue (id6) > =0.10 & & getValue (id6) <0.13 & & & getValue (id6) <0.13
(b) Accident event rating: a major accident.
4. And judging the accident event grade caused by the fault information reported by the user by applying an accident event grade self-defined judging formula.
a) For example, the level of an accident event caused by a certain N-1 fault reported by a user is judged. If it is assumed that the total load of Yunnan is 25000MW, the number of regional users is 1000000, and the number of outage users is 50000 due to the fact that the supply reduction load is 4000MW and the corresponding load loss proportion is 0.16 (namely 16%) under the condition that the N-1 fault formed by the element A, the reported table value corresponding to the accident is shown in fig. 4.
b) And circulating all the accident event grades to judge whether the corresponding accident event grades are met one by one. For a specific accident event level discriminant, the variables in the formula are assigned by the getValue (id1) method, such as for the above formula (1), the assigned expression is: 'province, autonomous region' = = 'province, autonomous region' & & 25000> =20000 & & 0.16> = 0.3; and then calling the eval function in the programming language or the eval function defined by the operator to execute the expression, and obtaining a false return result, which indicates that the fault does not form the accident event. Whether the formulas (1), (2) and (3) are met or not is sequentially judged, and the obtained return results are respectively as follows: false, true and false, which shows that the fault meets the criteria of 'major accident with total load more than 20000MW, which is reduced by 13% and less than 30%' and does not meet the criteria of judging other two accident events.
c) And sequencing all accident event grades meeting the judgment condition, and selecting the most serious accident event grade as the accident event grade formed by the fault.
d) The overall discrimination flow is shown in fig. 5.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (8)
1. A formula-driven power grid accident risk level assessment method is characterized by comprising the following steps:
step (1), defining a general data type, and defining each information required by judging the grade of all accident events as a data type;
step (2), defining an accident event judgment report under the fault condition, wherein each column of the report consists of the general data type defined in the step (1);
step (3), converting the power accident event discrimination requirements into corresponding discrimination formulas, thereby establishing an accident event grade discrimination formula library;
step (4), traversing all formulas in an accident event grade discrimination formula library aiming at the reported power grid fault information, extracting data required in the formulas from the reported fault information, then judging whether the loss caused by the fault meets the corresponding accident event discrimination standard, if so, considering that the fault forms the accident event of the corresponding grade, and adding the accident event grade to a list meeting the conditions; and after traversing all accident event grade discrimination formulas, extracting the highest grade from the accident event grade list meeting the conditions as the accident event grade finally formed by the fault.
2. The formula-driven risk level assessment method for grid accident events according to claim 1, wherein in the step (1), the data type comprises data type id, data type name and data format.
3. The formula-driven power grid accident event risk level assessment method according to claim 2, wherein the data type name comprises a region type, a fault element, a region load, a number of region users, a reduced supply load proportion, a number of power outage users, and a power outage user proportion.
4. The formula-driven risk rating assessment method for grid accident events according to claim 2, wherein the data format consists of basic data type + data length and/or accuracy; the basic data types include integer type, floating point type, character string type, radio box, and check box.
5. The formula-driven risk level assessment method for grid accident events based on the claim 1 is characterized in that the specific method of the step (2) is as follows: on the basis of the general data type, defining a report structure, and determining the data type id of each column and the sequence of each column of the report; then, a report data table is established, the report to which the data table belongs is determined through the report id, a piece of fault information is determined through the fault number, the data type to which the data table belongs is determined through the data type id, and the value is defined through the value.
6. The formula-driven risk level assessment method for grid accident events based on the claim 1 is characterized in that the specific method of the step (3) is as follows:
step (3.1), getValue (data id) is used as a method for acquiring a specific value in a fault reporting record, wherein the data id is the id of a well-defined general data type;
and (3.2) converting the discrimination logic of the accident event grade into a discrimination formula corresponding to the expression mode of the step (3.1).
7. The formula-driven risk level assessment method for grid accident events based on the claim 3 is characterized in that the specific method of the step (4) is as follows:
step (4.1), traversing all accident event grade discrimination formulas aiming at a certain power grid fault;
step (4.2), for a certain accident event grade, acquiring a discrimination formula of the accident event grade; then acquiring all required data information of the discrimination formula from the fault information; analyzing each data into a corresponding value according to the corresponding data type id, and then judging whether the requirement of a discrimination formula is met or not; if the judgment result is not satisfied, the fault is not formed into the accident event; if the judgment result is satisfied, the fault is indicated to satisfy the accident event grade standard, the accident event is added to an accident event grade set caused by the fault, and then the next accident event grade judgment is checked;
step (4.3), after all accident event grades are judged, if the accident event grade set of the fault is empty, the fault is considered not to form any accident event; otherwise, sorting the accident event grade set from high to low according to the severity, and selecting the accident event grade with the highest grade as the accident event grade caused by the fault.
8. The formula-driven risk rating method for grid accident events according to claim 7, wherein in the step (4.2), eval function is adopted for judgment.
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