CN112381437A - Power grid risk assessment method and device, processor and risk assessment system - Google Patents
Power grid risk assessment method and device, processor and risk assessment system Download PDFInfo
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Abstract
The application provides an assessment method, an assessment device, a processor and a risk assessment system for power grid risks, wherein the assessment method comprises the following steps: determining risk indexes according to the operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below; and determining the risk level of the power grid risk index according to the risk index. According to the evaluation method, risks in three aspects corresponding to the first risk index and the second risk index are considered, and the risk level of the power grid risk is obtained, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation method has a great reference value for controlling the power grid risk.
Description
Technical Field
The application relates to the technical field of risk assessment, in particular to a power grid risk assessment method, a power grid risk assessment device, a computer-readable storage medium, a processor and a risk assessment system.
Background
The power grid system is closely related to users, and once large-area power failure occurs, the power grid system can cause great loss to social production and people life, so that related information of the power grid risk safety production state needs to be effectively integrated and refined, accurately analyzed, evaluated and early warned, the fault risk level of the power grid is practically reflected, operation and maintenance personnel can rapidly identify the risk level conveniently, loss caused by large-scale power failure is reduced or avoided as much as possible, the safe operation of the power grid is effectively improved, and the loss is reduced.
The above information disclosed in this background section is only for enhancement of understanding of the background of the technology described herein and, therefore, certain information may be included in the background that does not form the prior art that is already known in this country to a person of ordinary skill in the art.
Disclosure of Invention
The present application mainly aims to provide a power grid risk assessment method, device, computer-readable storage medium, processor, and risk assessment system, so as to solve the problem that the power grid risk cannot be assessed comprehensively and accurately in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a method for evaluating a risk of a power grid, including: determining risk indexes according to operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below; and determining the risk grade of the power grid risk index according to the risk index.
Optionally, determining a risk index from the operational data comprises: determining the score of each influence factor according to the operation data corresponding to each influence factor, wherein the influence factors are influence factors corresponding to the risk index; and calculating the risk index according to the score.
Optionally, the first operation data includes abnormal power grid data, N-1 operation risk data, operation risk data of the power plant, and accident data, and the second operation data includes abnormal power grid data, N-1 operation risk data, risk data of the power plant outside the important customer, and accident data, where the first operation data is the operation data corresponding to the influence factor of the first risk index, and the second operation data is the operation data corresponding to the influence factor of the second risk index.
Optionally, the influence levels of the influencing factors are D level, C level, B level and a level, respectively, and the method further includes: determining the influence grade corresponding to each influence factor according to the score of each influence factor; and determining a risk control scheme according to the influence grade.
Optionally, determining a risk level of the grid risk index according to the risk index includes: determining the risk grade of the 220KV and above power grid as grade I under the condition that the first risk index is greater than or equal to 80; determining the risk grade of the 220KV and above power grid to be grade II under the condition that the first risk index is greater than or equal to 60 and less than 80; determining the risk level of the 220KV and above power grid to be level III under the condition that the first risk index is greater than or equal to 40 and less than 60; and determining the risk grade of the 220KV and above power grid to be IV grade under the condition that the first risk index is less than 40.
Optionally, determining a risk level of the grid risk index according to the risk index, further comprising: determining the risk grade of the power grid of 110KV and below as grade I under the condition that the second risk index is greater than or equal to 80; determining the risk grade of the 110KV and below power grid to be grade II under the condition that the second risk index is greater than or equal to 60 and less than 80; determining the risk level of the 110KV and below power grid to be level III if the second risk index is greater than or equal to 40 and less than 60; and determining the risk grade of the 110KV and below power grid as grade IV under the condition that the second risk index is less than 40.
According to another aspect of the embodiments of the present invention, there is also provided an evaluation apparatus for grid risk, including: the first determining unit is used for determining risk indexes according to the operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below; and the second determining unit is used for determining the risk level of the power grid risk index according to the risk index.
According to still another aspect of embodiments of the present invention, there is also provided a computer-readable storage medium including a stored program, wherein the program executes any one of the methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes any one of the methods.
According to another aspect of the embodiments of the present invention, there is also provided a risk assessment system, including a power grid risk assessment device, configured to perform any one of the methods.
In the method for evaluating the grid risk according to the embodiment of the present invention, first, a risk index is determined according to operation data, where the risk index includes a first risk index and a second risk index, the first risk index is a risk index of a power grid of 220KV or more, and the second risk index is a risk index of a power grid of 110KV or less, and then, a risk level of the grid risk index is determined according to the risk index. According to the evaluation method, risks in three aspects corresponding to the first risk index and the second risk index are considered, and the risk level of the power grid risk is obtained, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation method has a great reference value for controlling the power grid risk.
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The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
fig. 1 shows a flow chart of a method of assessing grid risk according to an embodiment of the present application;
fig. 2 shows a schematic diagram of an evaluation device of grid risk according to an embodiment of the present application.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It will be understood that when an element such as a layer, film, region, or substrate is referred to as being "on" another element, it can be directly on the other element or intervening elements may also be present. Also, in the specification and claims, when an element is described as being "connected" to another element, the element may be "directly connected" to the other element or "connected" to the other element through a third element.
As mentioned in the background of the invention, in order to solve the above problem, in the prior art, a method, an apparatus, a computer-readable storage medium, a processor, and a risk assessment system for assessing a grid risk are provided.
According to an embodiment of the application, a power grid risk assessment method is provided.
Fig. 1 is a flowchart of a method for evaluating grid risk according to an embodiment of the present application. As shown in fig. 1, the method comprises the steps of:
step S101, determining risk indexes according to operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below;
and S102, determining the risk level of the power grid risk according to each risk level.
In the method for evaluating the power grid risk, firstly, a risk index is determined according to operation data, the risk index comprises a first risk index and a second risk index, the first risk index is the risk index of a power grid with the voltage of 220KV and above, the second risk index is the risk index of the power grid with the voltage of 110KV and below, and then, the risk level of the power grid risk index is determined according to the risk index. According to the evaluation method, risks in three aspects corresponding to the first risk index and the second risk index are considered, and the risk level of the power grid risk is obtained, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation method has a great reference value for controlling the power grid risk.
It should be noted that, by effectively implementing power grid risk index management, the method effectively prevents large-area power failure risk of the power grid, carries out power distribution network power failure risk assessment and early warning work, quantifies power grid risk, can provide an effective decision-making basis for power grid operators to manage and control risk, and effectively improves the safety level of urban power grid operation.
It should also be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
In one embodiment of the present application, determining a risk index from operational data includes: determining the score of each influence factor according to the operation data corresponding to each influence factor, wherein the influence factors are influence factors corresponding to the risk index; and calculating the risk index according to the score. Specifically, full score values of the influence factors are set according to the weight of the influence factors on the risk, corresponding score values are determined according to the operation data corresponding to the influence factors, and finally the risk index can be obtained by summing the score values of all the influence factors.
In an embodiment of the application, the first operation data includes abnormal power grid data, N-1 operation risk data, operation risk data of a power plant and accident data, and the second operation data includes abnormal power grid data, N-1 operation risk data, risk data of an important customer external power supply and accident data, the first operation data is the operation data corresponding to the influence factor of the first risk index, and the second operation data is the operation data corresponding to the influence factor of the second risk index. Specifically, the corresponding score is determined according to each first operation data, for example, the first operation data includes accident data, the full score corresponding to the accident data is 20 scores, the full score reaches 20 scores of grid events of four or more levels in the national grid accident regulation rule, the full score reaches 15 scores of grid events of five levels in the national grid accident regulation rule, the full score reaches 10 scores of grid events of six levels in the national grid accident regulation rule, the full score reaches 5 scores of grid events of seven or eight levels in the national grid accident regulation rule, the sum of the corresponding scores determined by each first operation data is a first risk index, and similarly, the sum of the corresponding scores determined by each second operation data is a second risk index.
In an embodiment of the application, the influence levels of the influencing factors are D level, C level, B level, and a level, respectively, and the method further includes: determining the influence grade corresponding to each influence factor according to the score of each influence factor; and determining a risk control scheme according to the influence grade. Specifically, the influence level of the influence factor is D when the score of the influence factor is 25% of the full score corresponding to the influence factor, the influence level of the influence factor is C when the score of the influence factor is 50% of the full score corresponding to the influence factor, the influence level of the influence factor is B when the score of the influence factor is 75% of the full score corresponding to the influence factor, and the influence level of the influence factor is a when the score of the influence factor is 100% of the full score corresponding to the influence factor.
Optionally, a suitable risk control scheme is selected according to the type and the influence level of the influence factor, for example, the risk level corresponding to abnormal power grid data of 220kv and above power grids reaches level D, the risk control scheme is that each function department of the same company jointly audits a power failure construction scheme and risk control measures of 220kv and above power grid equipment, according to the power flow distribution in the abnormal power grid mode, the planned output of a related generator set is reasonably adjusted, the running state of 500 kv power grid equipment is mastered, the power failure plan of 220kv and above power grid equipment every day is reasonably arranged, power grid safety check work during the power failure of 220kv and above equipment is carried out before week, and an anti-accident plan in the abnormal power grid mode is compiled; the risk level corresponding to the power grid abnormal data of 220KV and above reaches C level, the risk control scheme is that each function and department of the same company jointly audits a power failure construction scheme and a risk control measure of 220KV and above power grid equipment, according to the power flow distribution under the abnormal mode of the power grid, the planned output of a related generator set is reasonably adjusted, the running state of 500 KV power grid equipment is mastered, power failure plans of 220KV and above power grid equipment every day are reasonably arranged, power grid safety check work during the power failure of 220KV and above equipment before week is carried out, the operation monitoring of a heavy point station line under the abnormal mode is strengthened, an anti-accident plan under the abnormal mode of the power grid is compiled, and accident deduction is carried out; the risk level corresponding to the abnormal data of the power grid of 220kV or more reaches B level, the risk control scheme is that the departments of all the functions of the same company jointly check the power failure construction scheme and the risk control measures of the power grid equipment of 220kV or more, the planned output of related generator sets is reasonably adjusted according to the current distribution under the abnormal mode of the power grid, the running state of 500 kV power grid equipment is mastered, the power failure plan of 220kV or more power grid equipment is reasonably arranged every day, the number of the 220kV line outage lines is ensured not to exceed 4 in the same time period, the number of the 220kV line outage lines is not more than 1 per partition, the number of the 220kV main transformer outage lines is not more than 4, the number of the 220kV line outage lines is not more than 4, the number of the per partition is not more than 1 per partition, the safety check work of the power grid during the power failure of the equipment of 220kV or more in, after the power grid failure prevention planning is confirmed by a company operation and inspection department, a temporary power grid power; the risk level corresponding to the abnormal data of the 220KV and above power grid reaches A level, the risk control scheme is that the departments of the same company review the power failure construction scheme and the risk control measure of the 220KV and above power grid equipment together, the planned output of the related generating set is reasonably adjusted according to the power flow distribution under the abnormal mode of the power grid, the running state of the 500 KV power grid equipment is mastered, the power failure plan of the 220KV and above power grid equipment every day is reasonably arranged, the number of the 220KV line outage lines is ensured not to exceed 4 in the same time period, the number of the 220KV line outage lines is not more than 1 in each partition, the number of the 220KV main transformer outage lines is not more than 4 in each partition, the number of the 220KV line outage lines is not more than 4 in each partition, the power grid safety check work is carried out in the week and in the period of the power failure of the equipment in the day before the work, the area with more, after the power failure is confirmed by a company operation and inspection department, a temporary power failure plan is carefully arranged, the operation monitoring of a station line at a heavy point in an abnormal mode is enhanced, an anti-accident plan in an abnormal mode of a power grid is compiled, and anti-accident drilling is carried out.
In an embodiment of the present application, determining a risk level of the grid risk index according to the risk index includes: determining the risk grade of the 220KV and above power grid as grade I under the condition that the first risk index is greater than or equal to 80; determining the risk grade of the 220KV and above power grid to be grade II under the condition that the first risk index is greater than or equal to 60 and less than 80; determining the risk level of the 220KV and above power grid to be level III under the condition that the first risk index is greater than or equal to 40 and less than 60; and determining the risk grade of the 220KV and above power grid as grade IV under the condition that the first risk index is less than 40. Specifically, the full score of the risk index is 100, the risk levels are divided according to the score intervals, and the corresponding risk levels can be determined according to the grid risk index, for example, the first risk index is 90, the risk level corresponding to the first risk index is i, the first risk index is 50, and the risk level corresponding to the first risk index is iii.
In an embodiment of the present application, determining a risk level of the grid risk index according to the risk index further includes: determining the risk grade of the 110KV and below power grid as grade I under the condition that the second risk index is greater than or equal to 80; determining the risk level of the 110KV and below power grid as level II under the condition that the second risk index is greater than or equal to 60 and less than 80; determining the risk level of the 110KV and below power grid to be level III under the condition that the second risk index is greater than or equal to 40 and less than 60; and determining the risk grade of the 110KV and below power grid as grade IV under the condition that the second risk index is less than 40. Specifically, the full score of the risk index is 100, the risk grades are divided according to the score intervals, and the corresponding risk grade can be determined according to the risk index, for example, the second risk index is 90, the risk grade corresponding to the second risk index is i, the second risk index is 50, and the risk grade corresponding to the second risk index is iii.
The embodiment of the present application further provides an evaluation device for a risk of a power grid, and it should be noted that the evaluation device for a risk of a power grid according to the embodiment of the present application may be used to execute the evaluation method for a risk of a power grid according to the embodiment of the present application. The evaluation device for the grid risk provided by the embodiment of the application is introduced below.
Fig. 2 is a schematic diagram of an evaluation device for grid risk according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
a first determining unit 10, configured to determine a risk index according to operation data, where the risk index includes a first risk index and a second risk index, the first risk index is a risk index of a power grid of 220KV or more, and the second risk index is a risk index of a power grid of 110KV or less;
and a second determining unit 20, configured to determine a risk level of the grid risk index according to the risk index.
In the above-described power grid risk evaluation device, the first determining unit determines a risk index according to the operation data, the risk index includes a first risk index and a second risk index, the first risk index is a risk index of a power grid of 220KV or higher, the second risk index is a risk index of a power grid of 110KV or lower, and the second determining unit determines a risk level of the power grid risk index according to the risk index. The evaluation device considers the risks of the first risk index and the second risk index in three aspects, and obtains the risk level of the power grid risk, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation device has great reference value for controlling the power grid risk.
It should be noted that, by effectively implementing power grid risk index management, the method effectively prevents large-area power failure risk of the power grid, carries out power distribution network power failure risk assessment and early warning work, quantifies power grid risk, can provide an effective decision-making basis for power grid operators to manage and control risk, and effectively improves the safety level of urban power grid operation.
In an embodiment of the present application, the first determining unit includes a first determining module and a first calculating module, where the first determining module is configured to determine a score of each of the influencing factors according to the operating data corresponding to each of the influencing factors, and the influencing factor is an influencing factor corresponding to the risk index; the first calculation module is used for calculating the risk index according to the score. Specifically, full score values of the influence factors are set according to the weight of the influence factors on the risk, corresponding score values are determined according to the operation data corresponding to the influence factors, and finally the risk index can be obtained by summing the score values of all the influence factors.
In an embodiment of the application, the first operation data includes abnormal power grid data, N-1 operation risk data, operation risk data of a power plant and accident data, and the second operation data includes abnormal power grid data, N-1 operation risk data, risk data of an important customer external power supply and accident data, the first operation data is the operation data corresponding to the influence factor of the first risk index, and the second operation data is the operation data corresponding to the influence factor of the second risk index. Specifically, the corresponding score is determined according to each first operation data, for example, the first operation data includes accident data, the full score corresponding to the accident data is 20 scores, the full score reaches 20 scores of grid events of four or more levels in the national grid accident regulation rule, the full score reaches 15 scores of grid events of five levels in the national grid accident regulation rule, the full score reaches 10 scores of grid events of six levels in the national grid accident regulation rule, the full score reaches 5 scores of grid events of seven or eight levels in the national grid accident regulation rule, the sum of the corresponding scores determined by each first operation data is a first risk index, and similarly, the sum of the corresponding scores determined by each second operation data is a second risk index.
In an embodiment of the present application, the influence levels of the influencing factors are respectively a D level, a C level, a B level, and an a level, the apparatus further includes a third determining unit, where the third determining unit includes a second determining module and a third determining module, where the second determining module is configured to determine the influence level corresponding to each influencing factor according to the score of each influencing factor; the third determining module is configured to determine a risk control scheme according to the impact level. Specifically, the influence level of the influence factor is D when the score of the influence factor is 25% of the full score corresponding to the influence factor, the influence level of the influence factor is C when the score of the influence factor is 50% of the full score corresponding to the influence factor, the influence level of the influence factor is B when the score of the influence factor is 75% of the full score corresponding to the influence factor, and the influence level of the influence factor is a when the score of the influence factor is 100% of the full score corresponding to the influence factor.
Optionally, a suitable risk control scheme is selected according to the type and the influence level of the influence factor, for example, the risk level corresponding to abnormal power grid data of 220kv and above power grids reaches level D, the risk control scheme is that each function department of the same company jointly audits a power failure construction scheme and risk control measures of 220kv and above power grid equipment, according to the power flow distribution in the abnormal power grid mode, the planned output of a related generator set is reasonably adjusted, the running state of 500 kv power grid equipment is mastered, the power failure plan of 220kv and above power grid equipment every day is reasonably arranged, power grid safety check work during the power failure of 220kv and above equipment is carried out before week, and an anti-accident plan in the abnormal power grid mode is compiled; the risk level corresponding to the power grid abnormal data of 220KV and above reaches C level, the risk control scheme is that each function and department of the same company jointly audits a power failure construction scheme and a risk control measure of 220KV and above power grid equipment, according to the power flow distribution under the abnormal mode of the power grid, the planned output of a related generator set is reasonably adjusted, the running state of 500 KV power grid equipment is mastered, power failure plans of 220KV and above power grid equipment every day are reasonably arranged, power grid safety check work during the power failure of 220KV and above equipment before week is carried out, the operation monitoring of a heavy point station line under the abnormal mode is strengthened, an anti-accident plan under the abnormal mode of the power grid is compiled, and accident deduction is carried out; the risk level corresponding to the abnormal data of the power grid of 220kV or more reaches B level, the risk control scheme is that the departments of all the functions of the same company jointly check the power failure construction scheme and the risk control measures of the power grid equipment of 220kV or more, the planned output of related generator sets is reasonably adjusted according to the current distribution under the abnormal mode of the power grid, the running state of 500 kV power grid equipment is mastered, the power failure plan of 220kV or more power grid equipment is reasonably arranged every day, the number of the 220kV line outage lines is ensured not to exceed 4 in the same time period, the number of the 220kV line outage lines is not more than 1 per partition, the number of the 220kV main transformer outage lines is not more than 4, the number of the 220kV line outage lines is not more than 4, the number of the per partition is not more than 1 per partition, the safety check work of the power grid during the power failure of the equipment of 220kV or more in, after the power grid failure prevention planning is confirmed by a company operation and inspection department, a temporary power grid power; the risk level corresponding to the abnormal data of the 220KV and above power grid reaches A level, the risk control scheme is that the departments of the same company review the power failure construction scheme and the risk control measure of the 220KV and above power grid equipment together, the planned output of the related generating set is reasonably adjusted according to the power flow distribution under the abnormal mode of the power grid, the running state of the 500 KV power grid equipment is mastered, the power failure plan of the 220KV and above power grid equipment every day is reasonably arranged, the number of the 220KV line outage lines is ensured not to exceed 4 in the same time period, the number of the 220KV line outage lines is not more than 1 in each partition, the number of the 220KV main transformer outage lines is not more than 4 in each partition, the number of the 220KV line outage lines is not more than 4 in each partition, the power grid safety check work is carried out in the week and in the period of the power failure of the equipment in the day before the work, the area with more, after the power failure is confirmed by a company operation and inspection department, a temporary power failure plan is carefully arranged, the operation monitoring of a station line at a heavy point in an abnormal mode is enhanced, an anti-accident plan in an abnormal mode of a power grid is compiled, and anti-accident drilling is carried out.
In an embodiment of the application, the second determining unit includes a fourth determining module, a fifth determining module, a sixth determining module, and a seventh determining module, where the fourth determining module is configured to determine that the risk level of the power grid of 220KV or higher is level i when the first risk index is greater than or equal to 80; the fifth determining module is configured to determine that the risk level of the power grid of 220KV or higher is level ii when the first risk index is greater than or equal to 60 and less than 80; the sixth determining module is configured to determine that the risk level of the 220KV or higher grid is class iii when the first risk index is greater than or equal to 40 and less than 60; the seventh determining module is configured to determine that the risk level of the power grid of 220KV or higher is level iv when the first risk index is less than 40. Specifically, the full score of the risk index is 100, the risk levels are divided according to the score intervals, and the corresponding risk levels can be determined according to the grid risk index, for example, the first risk index is 90, the risk level corresponding to the first risk index is i, the first risk index is 50, and the risk level corresponding to the first risk index is iii.
In an embodiment of the application, the second determining unit further includes an eighth determining module, a ninth determining module, a tenth determining module, and an eleventh determining module, where the eighth determining module is configured to determine that the risk level of the power grid of 110KV or below is level i when the second risk index is greater than or equal to 80; the ninth determining module is configured to determine that the risk level of the power grid of 110KV or below is level ii when the second risk index is greater than or equal to 60 and less than 80; the tenth determining module is configured to determine that the risk level of the 110KV or less grid is class iii if the second risk index is greater than or equal to 40 and less than 60; the eleventh determining module is configured to determine the risk level of the power grid of 110KV or below as a level iv when the second risk index is smaller than 40. Specifically, the full score of the risk index is 100, the risk grades are divided according to the score intervals, and the corresponding risk grade can be determined according to the risk index, for example, the second risk index is 90, the risk grade corresponding to the second risk index is i, the second risk index is 50, and the risk grade corresponding to the second risk index is iii.
The embodiment of the application also provides a risk assessment system, which comprises a power grid risk assessment device, wherein the power grid risk assessment device is used for executing any one of the methods.
The risk evaluation system comprises an evaluation device for the risk of the power grid, wherein a first determination unit determines a risk index according to operation data, the risk index comprises a first risk index and a second risk index, the first risk index is the risk index of the power grid of 220KV and above, the second risk index is the risk index of the power grid of 110KV and below, and a second determination unit determines the risk level of the risk index of the power grid according to the risk index. The evaluation device considers the risks of the first risk index and the second risk index in three aspects, and obtains the risk level of the power grid risk, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation device has great reference value for controlling the power grid risk.
The power grid risk assessment device comprises a processor and a memory, wherein the first determination unit, the second determination unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the problem that the risk of the power grid cannot be comprehensively and accurately evaluated in the prior art is solved by adjusting the kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a computer-readable storage medium on which a program is stored, which when executed by a processor implements the above-described method.
The embodiment of the invention provides a processor, which is used for running a program, wherein the method is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein when the processor executes the program, at least the following steps are realized:
step S101, determining risk indexes according to operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below;
and S102, determining the risk level of the power grid risk according to each risk level.
The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program of initializing at least the following method steps when executed on a data processing device:
step S101, determining risk indexes according to operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below;
and S102, determining the risk level of the power grid risk according to each risk level.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a computer-readable storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned computer-readable storage media comprise: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
From the above description, it can be seen that the above-described embodiments of the present application achieve the following technical effects:
1) according to the power grid risk assessment method, firstly, a risk index is determined according to operation data, the risk index comprises a first risk index and a second risk index, the first risk index is the risk index of a power grid with the voltage of 220KV and above, the second risk index is the risk index of the power grid with the voltage of 110KV and below, and then the risk level of the power grid risk index is determined according to the risk index. According to the evaluation method, risks in three aspects corresponding to the first risk index and the second risk index are considered, and the risk level of the power grid risk is obtained, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation method has a great reference value for controlling the power grid risk.
2) In the power grid risk assessment device, a first determination unit determines a risk index according to operation data, the risk index comprises a first risk index and a second risk index, the first risk index is a risk index of a power grid of 220KV and above, the second risk index is a risk index of a power grid of 110KV and below, and the second determination unit determines a risk level of the power grid risk index according to the risk index. The evaluation device considers the risks of the first risk index and the second risk index in three aspects, and obtains the risk level of the power grid risk, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation device has great reference value for controlling the power grid risk.
3) The risk evaluation system comprises an evaluation device for power grid risk, wherein a first determination unit determines a risk index according to operation data, the risk index comprises a first risk index and a second risk index, the first risk index is the risk index of a power grid with the voltage of 220KV and above, the second risk index is the risk index of the power grid with the voltage of 110KV and below, and a second determination unit determines the risk level of the power grid risk index according to the risk index. The evaluation device considers the risks of the first risk index and the second risk index in three aspects, and obtains the risk level of the power grid risk, so that related personnel can comprehensively and accurately evaluate the power grid risk according to the risk level, and the evaluation device has great reference value for controlling the power grid risk.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A power grid risk assessment method is characterized by comprising the following steps:
determining risk indexes according to operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below;
and determining the risk grade of the power grid risk index according to the risk index.
2. The method of claim 1, wherein determining a risk index from the operational data comprises:
determining the score of each influence factor according to the operation data corresponding to each influence factor, wherein the influence factors are influence factors corresponding to the risk index;
and calculating the risk index according to the score.
3. The method of claim 2, wherein the first operational data comprises grid anomaly data, N-1 operational risk data, power plant operational risk data, and accident data, and the second operational data comprises grid anomaly data, N-1 operational risk data, vital customer external power risk data, and accident data, the first operational data is the operational data corresponding to the influencing factors of the first risk index, and the second operational data is the operational data corresponding to the influencing factors of the second risk index.
4. The method of claim 2, wherein the impact levels of each of the impact factors are class D, class C, class B, and class a, respectively, the method further comprising:
determining the influence grade corresponding to each influence factor according to the score of each influence factor;
and determining a risk control scheme according to the influence grade.
5. The method of claim 1, wherein determining a risk rating for a grid risk index based on the risk index comprises:
determining the risk grade of the 220KV and above power grid as grade I under the condition that the first risk index is greater than or equal to 80;
determining the risk grade of the 220KV and above power grid to be grade II under the condition that the first risk index is greater than or equal to 60 and less than 80;
determining the risk level of the 220KV and above power grid to be level III under the condition that the first risk index is greater than or equal to 40 and less than 60;
and determining the risk grade of the 220KV and above power grid to be IV grade under the condition that the first risk index is less than 40.
6. The method of claim 1, wherein determining a risk rating for a grid risk index based on the risk index further comprises:
determining the risk grade of the power grid of 110KV and below as grade I under the condition that the second risk index is greater than or equal to 80;
determining the risk grade of the 110KV and below power grid to be grade II under the condition that the second risk index is greater than or equal to 60 and less than 80;
determining the risk level of the 110KV and below power grid to be level III if the second risk index is greater than or equal to 40 and less than 60;
and determining the risk grade of the 110KV and below power grid as grade IV under the condition that the second risk index is less than 40.
7. An assessment device of grid risk, characterized by comprising:
the first determining unit is used for determining risk indexes according to the operation data, wherein the risk indexes comprise a first risk index and a second risk index, the first risk index is the risk index of a power grid of 220KV and above, and the second risk index is the risk index of the power grid of 110KV and below;
and the second determining unit is used for determining the risk level of the power grid risk index according to the risk index.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored program, wherein the program performs the method of any one of claims 1 to 6.
9. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of any of claims 1 to 6.
10. A risk assessment system comprising a grid risk assessment device, characterized in that said grid risk assessment device is adapted to perform the method of any one of claims 1 to 6.
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