CN112288274A - Accident event grade automatic evaluation method based on network topology and PSD-BPA analysis - Google Patents

Accident event grade automatic evaluation method based on network topology and PSD-BPA analysis Download PDF

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CN112288274A
CN112288274A CN202011180858.2A CN202011180858A CN112288274A CN 112288274 A CN112288274 A CN 112288274A CN 202011180858 A CN202011180858 A CN 202011180858A CN 112288274 A CN112288274 A CN 112288274A
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voltage
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罗艳
肖辅盛
王庭刚
周智海
陈子敬
高�浩
张诗琪
吴俊杰
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Guizhou Power Grid Co Ltd
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Abstract

The invention discloses an accident event grade automatic evaluation method based on network topology and PSD-BPA analysis, which comprises the steps of carrying out action research analysis on spare power automatic switching; collecting various data conditions of a power grid in an accident event; risk quantification is carried out on the accident event according to the acquired data condition; and automatically evaluating the accident event grade according to the risk quantification. The invention can realize automatic acquisition, matching, conversion and synthesis of system demand data, improve data accuracy and personnel working efficiency, and provide a powerful technical support platform for intelligent arrangement of a power grid operation mode and risk prevention and control analysis work.

Description

Accident event grade automatic evaluation method based on network topology and PSD-BPA analysis
Technical Field
The invention relates to the technical field of automatic judgment of power grid accidents, in particular to an automatic accident event grade evaluation method based on network topology and PSD-BPA analysis.
Background
With the rapid progress of the times, the scale of the power grid is gradually enlarged, and the probability of accidents is increased, so how to ensure the normal operation of the power grid and improve the stability and the availability of a power system become the most important problem at present. A large amount of daily work of mode specialty still need rely on personnel manual collection, check, match, conversion, input data, rely on the manual work to develop electric wire netting operation mode intelligence arrangement and risk prevention and control analysis work, cause the deviation easily today. Moreover, BPA can not automatically update the calculation file but needs manual data maintenance, only a code level operation interface is available, and the system is seriously deficient in humanization and inconvenient for normalized use; and the BPA cannot realize N-1(+1) static security analysis and calculation of loss load of the spare power automatic switching action, and the spare power automatic switching is a factor which is different from a provincial power grid and needs to be considered and solved in daily work of the regional power grid. Therefore, a method for automatically evaluating the automatic rating of the power grid after an accident event occurs is urgently needed.
Therefore, a set of power grid operation mode intelligent analysis and risk diagnosis integrated analysis platform is researched and developed. A static safety analysis method for a regional power grid and spare power automatic switching based on PSD-BPA, an accident event grade evaluation method and a risk evaluation calculation method provide a basic calculation method for realizing intelligent arrangement of a maintenance plan of power transmission and transformation equipment and prevention and control of operation risk of the power grid.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned problems with the conventional accident event rating.
Therefore, the technical problem solved by the invention is as follows: the BPA cannot automatically update a calculation file but needs manual data maintenance, only has a code level operation interface, is seriously insufficient in humanization, is inconvenient for normalized use, and does not have N-1(+1) static safety analysis and calculation loss load quantity of a spare power automatic switching action.
In order to solve the technical problems, the invention provides the following technical scheme: carrying out action research and analysis on the spare power automatic switching; collecting various data conditions of a power grid in an accident event; risk quantification is carried out on the accident event according to the acquired data condition; and automatically evaluating the accident event grade according to the risk quantification.
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the research and analysis of the action of the spare power automatic switching device comprises the steps of utilizing programming software to realize the real-time switching-in and switching-out of the spare power automatic switching device in BPA (Business Process analysis), and taking the action of the spare power automatic switching device as an automatic response of a fault in an actual power grid so as to provide an optional system adjustment strategy; in the static safety analysis of the power grid, when the BPA software is used for carrying out load flow calculation and static safety analysis, the BPA does not have concepts and operations related to the spare power automatic switching, if the action of the spare power automatic switching is not considered, the analysis result is usually load shedding, and the calculation analysis result does not accord with the actual operation condition of the power grid; therefore, when static safety analysis and risk evaluation calculation are carried out on the high-voltage distribution voltage, the condition that the equipment is automatically switched on and off by a backup switch is considered, namely N-1 analysis is converted into N-1(+1) analysis, even N-1(+ M) fault analysis, so as to determine the reliability degree of the system in a new operation mode after the fault.
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: and the risk quantification of the accident event comprises the risk quantification through the number statistics of the voltage-loss transformer stations, the loss load calculation and the loss user number statistics.
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the step of counting the number of the voltage-loss transformer stations comprises the steps of calculating the number of the voltage-loss transformer stations, and indicating that the bus has voltage if a B card exists by means of a B card node in BPA, otherwise, indicating that the bus has voltage loss; if the B point of the total station, namely the bus, is not available, the station is out of voltage, so that whether the station is out of voltage can be judged only by knowing whether the B cards of the station in the BPA exist or not.
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the loss load calculation comprises the steps that the BPA is used for calculating the load number of a certain partition, the corresponding load information is extracted from a generated result file, namely a PFO file, only after the BPA file is operated when the load number is calculated; therefore, only two calculations are needed to obtain whether the loss load is lost, the first is: calculating under a complete condition to obtain a total load a; the second time is that: when one equipment is overhauled, namely, the operation is pushed out, the net rack can normally operate, and then calculation is carried out, so that the total load b is obtained; the available loss load can be expressed by the formula c-b-a.
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the statistics of the number of the lost users comprise that a bus is represented as a node B of a BPA, the bus is subjected to voltage loss in the BPA and is represented by adding a symbol before the node B representing the voltage loss bus, and the number of the voltage loss bus can be obtained by calculating the number of annotated B cards under the condition of maintenance; therefore, the number of lost users can be automatically calculated by calculating the voltage-loss bus and the line through the BPA, finding out the voltage-loss line associated with the corresponding bus node through topology analysis, calling and quoting user data of the line corresponding to the reliability system or other systems.
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the risk quantification further comprises the following calculation formula: grid risk value max { (risk hazard value) × (risk probability value) }
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the risk value includes a risk value (risk severity score) x (social impact factor) x (loss load or user nature factor)
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the risk probability value comprises the following formula of the risk probability value, namely a benchmark risk and a risk based on the problem: baseline risk: risk probability value (device type factor) x (fault category factor) x (historical data statistics factor); risk based on problem: risk probability value (equipment type factor) x (fault category factor) x (historical data statistical factor) x (weather influence factor) x (equipment defect influence factor) x (overhaul management factor) x (overhaul time factor) x (site construction factor) x (control measure factor) x (operation risk factor)
As a preferred scheme of the method for automatically evaluating the accident event grade based on the network topology and the PSD-BPA analysis, the method comprises the following steps: the automatic evaluation of the accident event grade comprises the steps of identifying risks, scanning the net rack by N-1+1 by using a BPA offline calculation program, calculating information such as a voltage loss transformer substation, loss load, loss user number and a voltage loss bus, and grading the accident event according to the fault risk.
The invention has the beneficial effects that: the invention can realize automatic acquisition, matching, conversion and synthesis of system demand data, improve data accuracy and personnel working efficiency, and provide a powerful technical support platform for intelligent arrangement of a power grid operation mode and risk prevention and control analysis work.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic flow chart of an automatic accident event rating assessment method based on network topology and PSD-BPA analysis according to a first embodiment of the present invention;
fig. 2 is a flowchart of a static security analysis method for backup power automatic switching of an accident event rating automatic assessment method based on network topology and PSD-BPA analysis according to a first embodiment of the present invention;
fig. 3 is a diagram of a typical backup power automatic switching line of a 110kV substation based on a network topology and a method for automatically evaluating the accident event grade based on PSD-BPA analysis according to a first embodiment of the present invention;
fig. 4 is a statistical flowchart of the number of the voltage-losing substations of the automatic accident event rating assessment method based on the network topology and PSD-BPA analysis according to the first embodiment of the present invention;
FIG. 5 is a flowchart of calculating loss load of the automatic accident event rating method based on network topology and PSD-BPA analysis according to the first embodiment of the present invention;
fig. 6 is a flow chart illustrating statistics of lost user number according to an automatic accident event rating assessment method based on network topology and PSD-BPA analysis according to a first embodiment of the present invention;
fig. 7 is an accident event ranking criterion of the automatic accident event ranking method based on network topology and PSD-BPA analysis according to the first embodiment of the present invention shown in fig. 1;
FIG. 8 is a block diagram of an incident ranking criterion of the incident ranking method based on network topology and PSD-BPA analysis according to the first embodiment of the present invention shown in FIG. 2;
FIG. 9 is a partitioned card diagram of a dat file of an automatic accident event rating method based on network topology and PSD-BPA analysis according to a second embodiment of the present invention;
FIG. 10 is a first calculated load information graph of an incident event ranking method based on network topology and PSD-BPA analysis according to a second embodiment of the present invention;
fig. 11 is a B-card diagram of a hantian substation according to a method for automatically rating accident event based on network topology and PSD-BPA analysis according to a second embodiment of the present invention;
FIG. 12 is a second calculated load information graph of an incident event ranking method based on network topology and PSD-BPA analysis according to a second embodiment of the present invention;
FIG. 13 is a page diagram of risk identification of an incident event ranking automatic assessment method based on network topology and PSD-BPA analysis according to a third embodiment of the present invention;
fig. 14 is a diagram of an automatic accident event ranking result of the automatic accident event ranking method based on network topology and PSD-BPA analysis according to the third embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 8, a first embodiment of the present invention provides an accident event grade automatic assessment method based on network topology and PSD-BPA analysis, including:
s1: and (5) carrying out action research and analysis on the spare power automatic switching. In which it is to be noted that,
the action research and analysis of the spare power automatic switching comprises the steps that a static safety analysis method of the spare power automatic switching invokes a PSD-BPA power flow calculation program through an external program, power flow data is automatically modified and operated on the basis of PSD-BPA-based regional power grid safety research, and a switching-off control strategy of the relevant spare power automatic switching is formulated according to a power flow calculation result file in a pfo format obtained by simulating switching-off of N-1 and the like; the method comprises the following steps of utilizing programming software to realize the real-time switching on and off of the spare power automatic switching in the BPA, taking the spare power automatic switching action as an automatic response of a fault in an actual power grid, and further giving an optional system adjustment strategy; in the static safety analysis of the power grid, when the BPA software is used for carrying out load flow calculation and static safety analysis, the BPA does not have concepts and operations related to the spare power automatic switching, if the action of the spare power automatic switching is not considered, the analysis result is usually load shedding, and the calculation analysis result does not accord with the actual operation condition of the power grid; therefore, when static safety analysis and risk evaluation calculation are performed on the high-voltage distribution voltage, the condition that the equipment is automatically switched on and off by a backup switch is considered, namely, N-1 analysis is converted into N-1(+1) analysis, even N-1(+ M) fault analysis, so as to determine the reliability degree of the system in a new operation mode after the fault, and a typical backup automatic switching wire of a 110kV high-voltage transformer substation is shown in fig. 3.
Wherein N-1 is a single failure safety criterion, when any independent element (generator, transmission line, transformer, etc.) in N elements of the power system is cut off due to failure, no power failure of users due to overload tripping of other lines is caused, the stability of the system is not damaged, and accidents such as voltage breakdown are not caused.
S2: and collecting various data conditions of the power grid in the accident event.
S3: and quantifying the risk of the accident event according to the acquired data condition. In which it is to be noted that,
and quantifying risks of the accident event, namely quantifying the risks by counting the number of the voltage-losing transformer stations, calculating loss loads and counting the number of loss users.
Further, the step of counting the number of the voltage loss transformer stations includes, with reference to fig. 4, calculating the number of the voltage loss transformer stations, and by means of a node B in the BPA, if the node B exists, it indicates that the bus has a voltage, otherwise, the bus is voltage loss; if the point B of the total station, namely the bus, does not exist, the station is in voltage loss, so that whether the station is in voltage loss can be judged only by knowing whether the B cards of the station in the BPA exist or not;
the loss load calculation comprises, with reference to fig. 5, calculating the load number of a certain partition by using BPA, and extracting corresponding load information from a generated result file, namely a PFO file, only after running a BPA file when calculating the load number; therefore, only two calculations are needed to obtain whether the loss load is lost, the first is: calculating under a complete condition to obtain a total load a; the second time is that: when one equipment is overhauled, namely, the operation is pushed out, the net rack can normally operate, and then calculation is carried out, so that the total load b is obtained; the available loss load can be expressed as the formula c-b-a;
the statistics of the number of the lost users comprises that a bus is represented as a node B of a BPA, the bus is subjected to voltage loss in the BPA and is represented by adding a symbol before the node B of the voltage loss bus, and the number of the voltage loss bus can be obtained by calculating the number of annotated B cards under the condition of maintenance; therefore, the number of lost users can be automatically calculated by calculating the voltage-loss bus and the line through BPA, finding out the voltage-loss line associated with the corresponding bus node through topological analysis, calling and quoting user data of the line corresponding to a reliability system or other systems;
the calculation formula for the above loss risk quantification is: grid risk value max { (risk hazard value) × (risk probability value) }
Further, the risk-risk value includes, the risk-risk value ═ (risk severity score) x (social impact factor) x (loss load or user-property factor)
The risk probability value comprises the following formula of the risk probability value, namely a benchmark risk and a risk based on the problem: baseline risk: risk probability value (device type factor) x (fault category factor) x (historical data statistics factor); risk based on problem: risk probability value (equipment type factor) x (fault category factor) x (historical data statistical factor) x (weather influence factor) x (equipment defect influence factor) x (overhaul management factor) x (overhaul time factor) x (site construction factor) x (control measure factor) x (operation risk factor)
S4: and automatically evaluating the accident event grade according to the risk quantification. In which it is to be noted that,
the accident event grade is automatically evaluated, a maintenance plan needing to be identified is selected when risk identification is carried out, the net rack is scanned by N-1+1 through a BPA offline calculation program, information such as a voltage loss transformer substation, loss load, the number of loss users and a voltage loss bus is calculated, overload information is displayed, accident event grade division is carried out according to the fault risk, partial division conditions can be shown in figures 7-8, and the accident event grade is divided into 9 types.
Example 2
Referring to fig. 9 to 12, for a second embodiment of the present invention, loss load calculation is described, where fig. 9 is a partitioned card content of a dat file in BPA software, taking a GZ area as an example, first calculating to generate a pfo file, searching for a "load" in the file, and locating to a position of load information, because no processing is performed on data here, data before and after modification are consistent, and referring to fig. 10, data before modification is a, assuming that only an active load (MW) is modified, that is, a is 14916; returning to the dat file, searching for "GZ" in the file, selecting a device in a GZ partition for processing, referring to fig. 11-12, selecting a B card for processing the hantian substation, and deleting data with power load, namely deleting "379"; further, a secondary calculation is performed to generate a pfo file, a "load" is searched in the file, the position of the load information is located, the load data before modification is found to be changed from the load data after the first calculation, where the load data before modification is b, that is, b is 14537, c is 14537 and 14916 is 379, that is, the loss load is 379.
Example 3
Referring to fig. 13 to 14, which are third embodiments of the present invention, in order to better verify and explain the technical effects adopted in the method of the present invention, a repair line of tangyi is selected for testing in the third embodiment, and the real effects of the method are verified by means of scientific demonstration;
in this embodiment, a le tang yi line is selected for maintenance to perform risk identification, action research and analysis are performed through spare power automatic switching, and accident events are subjected to risk quantification, so that it can be obtained that four fault devices exist in the "le tang yi line", taking the fault device "tang jia station 110kV 1M" in fig. 13 as an example, a voltage-loss substation thereof is a tang shan station, and a result obtained through risk quantification is shown in fig. 14, from which it can be seen that the load loss is 39.7MW, and the load loss ratio is 0.02; the number of the lost users is 13342, the proportion of the number of the lost users is 0.02, and the accident event grade can be obtained as a third-grade event within 5s according to the accident event grade division condition; and the Letang B line is overhauled by using the traditional rating method, the calculation is carried out through BPA, the accident event rating is judged manually, 1 hour is needed for judging the accident event rating to be a third-level event, and a large amount of labor and time are consumed, so that the method cannot be used in a normalized mode.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.

Claims (10)

1. An accident event grade automatic evaluation method based on network topology and PSD-BPA analysis is characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
carrying out action research and analysis on the spare power automatic switching;
collecting various data conditions of a power grid in an accident event;
risk quantification is carried out on the accident event according to the acquired data condition;
and automatically evaluating the accident event grade according to the risk quantification.
2. The method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 1, wherein: the research and analysis of the action of the spare power automatic switching device comprises the following steps,
the method comprises the following steps of utilizing programming software to realize the real-time switching on and off of the spare power automatic switching in the BPA, taking the spare power automatic switching action as an automatic response of a fault in an actual power grid, and further giving an optional system adjustment strategy; in the static safety analysis of the power grid, when the BPA software is used for carrying out load flow calculation and static safety analysis, the BPA does not have concepts and operations related to the spare power automatic switching, if the action of the spare power automatic switching is not considered, the analysis result is usually load shedding, and the calculation analysis result does not accord with the actual operation condition of the power grid; therefore, when static safety analysis and risk evaluation calculation are carried out on the high-voltage distribution voltage, the condition that the equipment is automatically switched on and off by a backup switch is considered, namely N-1 analysis is converted into N-1(+1) analysis, even N-1(+ M) fault analysis, so as to determine the reliability degree of the system in a new operation mode after the fault.
3. The method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 1, wherein: the risk quantifying of the accident event includes,
and risk quantification is carried out through the statistics of the number of the voltage-loss transformer stations, the calculation of loss loads and the statistics of the number of loss users.
4. A method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 3 wherein: the step of counting the number of the voltage-loss transformer stations comprises the following steps,
calculating the number of the voltage-loss transformer stations, and by means of a B card node in BPA, if the B card exists, indicating that the bus has voltage, otherwise, indicating that the bus is in voltage loss; if the B point of the total station, namely the bus, is not available, the station is out of voltage, so that whether the station is out of voltage can be judged only by knowing whether the B cards of the station in the BPA exist or not.
5. A method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 3 wherein: the loss load calculation includes the calculation of the loss load,
the load number of a certain partition can be quickly calculated by utilizing BPA calculation, and corresponding load information is extracted from a generated result file, namely a PFO file, only after the BPA file is operated when the load number is calculated; therefore, only two calculations are needed to obtain whether the loss load is lost, the first is: calculating under a complete condition to obtain a total load a; the second time is that: when one equipment is overhauled, namely, the operation is pushed out, the net rack can normally operate, and then calculation is carried out, so that the total load b is obtained; the available loss load can be expressed by the formula c-b-a.
6. A method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 3 wherein: the statistics of the number of lost users include,
the bus is represented as a B card node in BPA, the bus voltage loss is represented in BPA by adding a symbol before a B card representing the voltage loss bus, and the number of the voltage loss bus can be obtained by calculating the number of annotated B cards in the maintenance condition; therefore, the number of lost users can be automatically calculated by calculating the voltage-loss bus and the line through the BPA, finding out the voltage-loss line associated with the corresponding bus node through topology analysis, calling and quoting user data of the line corresponding to the reliability system or other systems.
7. The method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 1, wherein: said performing a further risk quantification includes performing a further risk quantification including,
the calculation formula is as follows:
grid risk value max { (risk hazard value) × (risk probability value) }.
8. The method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 7 wherein: the risk hazard value includes one or more of,
risk hazard value (hazard severity score) x (social impact factor) x (loss load or user nature factor).
9. The method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 7 wherein: the risk probability values include a value of a risk probability,
the formula of the risk probability value is divided into a benchmark risk and a risk based on the problem:
baseline risk: risk probability value (device type factor) x (failure category factor) x (historical data statistics factor)
Risk based on problem: the risk probability value is (equipment type factor) x (fault category factor) x (historical data statistical factor) x (weather influence factor) x (equipment defect influence factor) x (maintenance management factor) x (maintenance time factor) x (site construction factor) x (control measure factor) x (operational risk factor).
10. The method for automatically rating accident events based on network topology and PSD-BPA analysis according to claim 9 wherein: the performing of the automatic rating of the incident event level includes,
and (4) risk identification is carried out, the net rack is scanned by N-1+1 by utilizing a BPA offline calculation program, information such as a voltage loss transformer substation, loss load, loss user number, a voltage loss bus and the like is calculated, and accident event grading is carried out according to the fault risk.
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