CN113344448A - Distribution network line risk level assessment method - Google Patents
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Abstract
The embodiment of the invention discloses a method for evaluating the risk level of a distribution network line, which comprises the following steps: establishing a working condition database; the working condition database comprises at least two working conditions, and each working condition is provided with a working condition risk coefficient; determining the working condition of the line to be evaluated, and inquiring and determining a working condition risk coefficient from the working condition database according to at least one working condition to which the line to be evaluated belongs; calculating the line risk coefficient of the line to be evaluated according to the risk coefficient of each working condition of the line to be evaluated; and determining the risk level of the line to be evaluated according to the line risk coefficient. By implementing the technical scheme provided by the embodiment of the invention, the problem of unclear line risk level evaluation can be solved, the operation and maintenance pressure is effectively relieved, and the reliability of a power supply system is improved.
Description
Technical Field
The embodiment of the invention relates to a power electronic technology, in particular to a distribution network line risk level evaluation method.
Background
Power lines are important tools for transmitting electric energy in power systems, and power line faults can seriously affect the safe operation and power supply reliability of the systems.
In the prior art, the main technical index for assessing the line risk in the distribution network is the trip-out rate, but the calculation of the trip-out rate mainly considers the lightning strike arc-establishing rate, the lightning current amplitude and probability, the lightning invasion overvoltage and the like.
However, in actual engineering, there is a risk that a line in a distribution network is damaged by mechanical stress or interference of a foreign object with a high probability, and the risk is frequent and has a large hazard.
Disclosure of Invention
The embodiment of the invention provides a distribution network line risk level evaluation method, which is used for realizing perfect and definite line risk evaluation, so that an electric power department can conveniently carry out differentiated operation and maintenance on lines, and the reliability of a power supply system is improved.
The embodiment of the invention provides a distribution network line risk level assessment method, which comprises the following steps:
establishing a working condition database; the working condition database comprises at least two working conditions, and each working condition is provided with a working condition risk coefficient;
determining the working condition of the line to be evaluated, and inquiring and determining a working condition risk coefficient from the working condition database according to at least one working condition to which the line to be evaluated belongs;
calculating the line risk coefficient of the line to be evaluated according to the risk coefficient of each working condition of the line to be evaluated;
and determining the risk level of the line to be evaluated according to the line risk coefficient.
According to the embodiment of the invention, the line risk coefficient of the line to be evaluated is calculated by determining the working condition of the line to be evaluated, and then the risk grade of the line to be evaluated is determined according to the line risk coefficient, so that the problem of incomplete risk evaluation of the distribution network line is solved, and the effect of facilitating differential operation and maintenance of the line by an electric power department is realized.
Drawings
Fig. 1 is a flowchart of a method for evaluating a risk level of a distribution network line according to an embodiment of the present invention;
fig. 2 is a flowchart of a distribution network line risk level evaluation method provided in the second embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of and not restrictive on the broad invention. It should be further noted that, for convenience of description, only some structures, not all structures, relating to the embodiments of the present invention are shown in the drawings.
Example one
Fig. 1 is a flowchart of a distribution network line risk level assessment method according to an embodiment of the present invention, where the technical scheme of the embodiment is applicable to a line risk assessment situation in a power electronic system, and the distribution network line risk level assessment method specifically includes the following steps:
and S110, establishing a working condition database.
In an actual power system, a distribution network line often encounters various working conditions. The classes of operating conditions may include: natural environment, equipment defects, mechanical stress, electric shock risk, equipment environment, human factors and the like.
The natural environment type working conditions can include specific working conditions such as wind blowing, rainfall, lightning and high temperature, faults of the lines can be caused frequently under the natural environment type working conditions, for example, the tower in the distribution network line is inclined due to strong wind, and the line is tripped due to lightning. The equipment defect factor in the line is also an indispensable reason for causing line faults, and porcelain bottle surface discharge, disconnecting link heating, unqualified grounding resistance and the like are common in line working conditions. Mechanical stress working conditions such as vehicle scraping, large-scale mechanical operation, cable cover plate compression, broken circuit pipeline digging and the like are also common working conditions in the daily circuit inspection process. For example, when a line pipeline is dug and broken by an excavator, people are easy to get an electric shock and casualties, and power workers need to immediately cut off the power and timely maintain the power. The electric shock risk type working condition can be that the lead is exposed, the distance between the line and the building is too small, and the distance between high-voltage equipment and the ground is insufficient. The working conditions of electric shock risks are easy to cause electric shock of people and fire disasters, and people and livestock are injured and killed. In the distribution network line, besides the cable, a distribution box, a distribution room, a fence and the like exist, and risks exist in equipment environment working conditions mainly due to distribution equipment and the environment where the distribution equipment is located. The equipment environment type working condition can be that the distribution equipment is surrounded by plants, can also be that the rail is damaged, can also be that the distribution room humidity is higher. In addition, the working conditions of human factors are not negligible in the risk of the line, for example, people accumulate sundries around the line, lawless persons steal the power distribution equipment, and personnel do not operate the power distribution equipment in a standard way.
Above-mentioned operating mode all can cause the risk of different degrees for joining in marriage the net twine way, and the circuit risk causes casualties and economic loss easily. Therefore, the power workers need to establish a reliable and comprehensive working condition database to comprehensively evaluate the line risk in the distribution network, timely eliminate the risk and realize safe power distribution.
In the scheme, the working condition database comprises at least two working conditions, and each working condition is provided with a working condition risk coefficient. The working condition risk coefficient conveniently quantifies the working condition risk, scientific line risk assessment is achieved, and effective inspection is achieved. The setting of the working condition risk coefficient can be to comprehensively evaluate the size of the working condition risk coefficient according to the previous working condition accidents, evaluate the influence of the working condition on the line performance, randomly set the working condition risk coefficient, and continuously adjust and optimize the working condition risk coefficient according to the occurring working condition accidents. The condition risk factor may be in a limited range of values, such as 0-1, or may be a single value that is not limited by the range of values and can highlight the condition risk difference, such as a lightning condition risk factor of 80, a high temperature condition risk factor of 20, and a disconnecting link heating condition risk factor of 40.
And S120, determining the working condition of the line to be evaluated, and inquiring and determining a working condition risk coefficient from the working condition database according to at least one working condition to which the line to be evaluated belongs.
When line risk assessment is performed, an electric power worker or line detection equipment in power distribution equipment needs to determine the working condition of the line to be assessed according to the specific condition of the line to be assessed. The line to be evaluated may have only a certain working condition, may have a plurality of working conditions, or may not have a working condition. The line detection equipment can be a line condition monitoring camera installed at a line accident multi-occurrence section, can also be a measuring device connected in a line for monitoring attributes such as line voltage, current, temperature and the like, and can also be line surface condition detection equipment held by electric power workers.
And S130, calculating the line risk coefficient of the line to be evaluated according to the risk coefficient of each working condition of the working condition in the line to be evaluated.
In this embodiment, the risk coefficient of the line to be evaluated may be calculated by an electric power worker or power distribution equipment according to the risk coefficient of each working condition of the working condition to which the line to be evaluated belongs. The line risk coefficient of the line to be evaluated can be obtained by directly adding the risk coefficients of all working conditions, or the line risk coefficient can be comprehensively evaluated by taking the length, the number of the working conditions, the frequency of occurrence of the working conditions and the like of the line to be evaluated as the basis of the risk coefficients of all working conditions, or the line risk coefficient can be calculated by further processing the risk coefficients of all working conditions, such as weighting operation and the like.
And S140, determining the risk level of the line to be evaluated according to the line risk coefficient.
The line risk coefficient is a more specific line risk expression form, and the risk level of the line to be evaluated can be further divided by electric power workers or line detection equipment according to the line risk coefficient, so that the electric power workers can conveniently maintain the distribution network line by grading the line risk. The risk classification may be based on a uniform line risk factor span, e.g., 0-10 for a first classification, 10-20 for a second classification, 20-30 for a third classification; or non-uniform line risk coefficient span division can be adopted according to the increment of the risk coefficients, for example, 0-20 is a first grade, 20-30 is a second grade, and 30-35 is a third grade; the line risk level may also be divided according to the distribution of the risk factors, for example, 0-5 is a first level, 5-30 is a second level, and 30-35 is a third level.
According to the technical scheme, the power staff or the line detection equipment calculates the line risk coefficient of the line to be evaluated by determining the working condition of the line to be evaluated, and then determines the risk grade of the line to be evaluated according to the line risk coefficient, so that the problem of incomplete risk evaluation of the distribution network line is solved. The graded risk division mode can facilitate an electric power department to clearly and effectively evaluate the risk of the line, so that timely maintenance is carried out, and the reliability of a power supply system is improved.
Example two
The present embodiment is a preferred embodiment provided on the basis of the above-described embodiments. Fig. 2 is a flowchart of a distribution network line risk level assessment method according to a second embodiment of the present invention, and the present embodiment performs optimization based on the above-described embodiment.
As shown in fig. 2, the method of this embodiment specifically includes the following steps:
s210, determining the working condition risk coefficient of each working condition according to whether each type of working condition causes line fault and the severity of the line fault.
In this embodiment, the power worker or the line detection device may further determine the operating condition risk factor according to whether each type of operating condition causes a line fault and the severity of the line fault.
In this embodiment, optionally, the severity includes: first order severe, second order severe, third order severe, and fourth order severe; and the working condition risk coefficient does not exceed the set working condition highest risk coefficient.
The severity takes the severity of the line fault caused by the rainfall condition as an example, the rainfall condition can be divided into four conditions of light rain, medium rain, heavy rain and heavy rain according to the rainfall, wherein the severity of the line fault caused by the light rain can be regarded as first-level severity, the severity of the line fault caused by the medium rain can be regarded as second-level severity, the severity of the line fault caused by the heavy rain can be regarded as third-level severity, and the severity of the line fault caused by the heavy rain can be regarded as fourth-level severity. The maximum risk coefficient of the working condition can be the risk probability of the most serious accident caused by the working condition in the distribution network line, the evaluation coefficient of the severity degree of the accident caused by the working condition in the distribution network line, and the maximum value in the limited range of the working condition risk coefficient.
If the working conditions in the working condition database do not cause line faults, the working condition risk coefficient is 0;
if the severity of the line fault is first-grade severity, the working condition risk coefficient is one fourth of the highest working condition risk coefficient;
if the severity of the line fault is secondary severity, the working condition risk coefficient is one half of the highest working condition risk coefficient;
if the severity of the line fault is three-level severity, the working condition risk coefficient is three quarters of the highest working condition risk coefficient;
and if the severity of the line fault is four-stage severity, the working condition risk coefficient is the highest working condition risk coefficient.
Taking the severity of the line fault caused by the rainfall condition as an example, assuming that the highest risk coefficient of the rainfall condition is 100, and if the rainfall condition does not cause the line fault, the risk coefficient of the rainfall condition is 0; if the severity of the line fault caused by rain fall is first-grade severity, the working condition risk coefficient is 25; if the severity of the line fault caused by rain in the middle of the rain is second-level severity, the working condition risk coefficient is 50; if the severity of the line fault caused by heavy rain is three-level severity, the working condition risk coefficient is 75; and if the severity of the line fault caused by rainstorm is four-level severity, the working condition risk coefficient is 100.
And S220, accumulating according to the risk coefficient of each working condition of the working condition in the line to be evaluated, and taking the accumulated sum as the line risk coefficient of the line to be evaluated.
Still take the working conditions of the line to be evaluated including the rainfall working condition, the thunder working condition and the disconnecting link heating working condition as examples, wherein, assuming that the rainfall working condition risk coefficient is 75, the thunder working condition risk coefficient is 80, and the disconnecting link heating working condition risk coefficient is 20, the line risk coefficient of the line to be evaluated is 175.
And S230, determining the risk level of the line to be evaluated according to the line risk coefficient.
In the scheme, specifically, if the line risk coefficient is lower than a first risk threshold, the line risk level is an acceptable risk;
if the line risk coefficient is not lower than the first risk threshold and lower than the second risk threshold, the line risk level is low risk;
if the line risk coefficient is not lower than the second risk threshold and is lower than the third risk threshold, the line risk grade is medium risk;
if the line risk coefficient is not lower than the third risk threshold and lower than the fourth risk threshold, the line risk level is high risk;
and if the line risk coefficient is not lower than the fourth risk threshold, the line risk grade is a fault risk.
The line risk is divided into the five risk levels according to the line risk coefficient, and compared with a specific line risk coefficient, the line risk level is more definite, so that electric power workers can know the current risk state of the line conveniently and take necessary measures in a targeted manner to patrol and maintain.
And S240, making a line differentiation operation and maintenance strategy according to the risk level of the line.
In this embodiment, specifically, if the line risk level is acceptable, the operation and maintenance policy is executed according to a first frequency;
if the line risk level is low risk, the operation and maintenance strategy is executed according to a second frequency;
if the line risk level is medium risk, the operation and maintenance strategy is executed according to a third frequency;
if the line risk level is high risk, the operation and maintenance strategy is executed according to the fourth frequency;
if the line risk level is a fault risk, immediately cutting off power, and eliminating potential safety hazards in time;
the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, and the fourth frequency is 1/7 days.
It will be appreciated that the higher the risk level of the line, the higher the maintenance frequency of the line by the power personnel. And a line differential operation and maintenance strategy is formulated according to the line risk level, so that reasonable distribution of operation and maintenance resources can be realized, and efficient line maintenance is realized for a fault line. The first frequency, the second frequency, the third frequency and the fourth frequency are set according to patrol experiments of power workers and large-scale data statistics.
In this embodiment, optionally, the frequency of the operation and maintenance policy includes: line patrol frequency, temperature measurement frequency, and voltage measurement frequency.
It should be noted that the line patrol frequency may be a frequency at which an electric power worker patrols the line, or a frequency at which the line detection device reports the line state. The line inspection is mainly to check whether the risk that can lead to the line fault exists on the distribution network line surface and around it, for example whether the cable crust is damaged, whether tree obstacles exist around the cable or the distribution box, whether the tower inclines, etc. The temperature measurement frequency may be the frequency at which a temperature measurement is reported by a temperature sensor of the cable or device, or the frequency at which the power operator measures the temperature of the cable or device in the field. The temperature measurement can be carried out all year round, summer or winter according to regional climate characteristics, and daily maximum temperature or maximum temperature according to weather. The abnormity of the line or the equipment can be timely monitored by frequently measuring the temperature of the line or the equipment, so that the hidden danger can be timely eliminated. The voltage measurement frequency may be the frequency at which voltage measurements are reported by a voltage monitoring device of the cable or device. The voltage is a key index of a detection line in a distribution network line, so that the voltage measurement is very important in the line operation and maintenance process.
According to the technical scheme, electric power workers or line detection equipment calculate the line risk coefficient of the line to be evaluated by determining the working condition of the line to be evaluated, then determine the risk level of the line to be evaluated according to the line risk coefficient, and formulate a line differentiation operation and maintenance strategy according to the risk level of the line. The problem of incomplete risk assessment of the distribution network line is solved, complete and definite line risk assessment is realized, and the graded risk division can facilitate the power department to carry out differentiated operation and maintenance on the line, and relieve the operation and maintenance pressure.
It should be noted that the foregoing is only a preferred embodiment of the present invention and the technical principles applied. Those skilled in the art will appreciate that the embodiments of the present invention are not limited to the specific embodiments described herein, and that various obvious changes, adaptations, and substitutions are possible, without departing from the scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention have been described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and many other equivalent embodiments may be included without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A distribution network line risk level assessment method is characterized by comprising the following steps:
establishing a working condition database; the working condition database comprises at least two working conditions, and each working condition is provided with a working condition risk coefficient;
determining the working condition of the line to be evaluated, and inquiring and determining a working condition risk coefficient from the working condition database according to at least one working condition to which the line to be evaluated belongs;
calculating the line risk coefficient of the line to be evaluated according to the risk coefficient of each working condition of the line to be evaluated;
and determining the risk level of the line to be evaluated according to the line risk coefficient.
2. The method of claim 1, wherein creating a database of operating conditions comprises:
and determining the working condition risk coefficient of the working condition according to whether each type of working condition causes line fault and the severity of the line fault.
3. The method of claim 2, wherein:
the severity includes: first order severe, second order severe, third order severe, and fourth order severe; and the working condition risk coefficient does not exceed the set working condition highest risk coefficient.
4. The method of claim 3, wherein:
if the working condition in the working condition database does not cause line fault, the working condition risk coefficient is 0;
if the severity of the line fault is first-grade severity, the working condition risk coefficient is one fourth of the highest working condition risk coefficient;
if the severity of the line fault is secondary severity, the working condition risk coefficient is one half of the highest working condition risk coefficient;
if the severity of the line fault is three-level severity, the working condition risk coefficient is three quarters of the highest working condition risk coefficient;
and if the severity of the line fault is four-stage severity, the working condition risk coefficient is the highest working condition risk coefficient.
5. The method according to claim 1, wherein calculating the line risk coefficient of the line to be evaluated according to the condition risk coefficients of the conditions in the line to be evaluated comprises:
and accumulating according to the risk coefficients of the working conditions of the line to be evaluated, and taking the accumulated sum as the line risk coefficient of the line to be evaluated.
6. The method of claim 1, wherein determining the risk level of the line to be evaluated from the line risk factor comprises:
if the line risk coefficient is lower than the first risk threshold, the line risk level is acceptable risk;
if the line risk coefficient is not lower than the first risk threshold and lower than the second risk threshold, the line risk level is low risk;
if the line risk coefficient is not lower than the second risk threshold and is lower than the third risk threshold, the line risk grade is medium risk;
if the line risk coefficient is not lower than the third risk threshold and lower than the fourth risk threshold, the line risk level is high risk;
and if the line risk coefficient is not lower than the fourth risk threshold, the line risk grade is a fault risk.
7. The method according to claim 6, wherein after determining the risk level of the line to be evaluated according to the line risk factor, further comprising:
and according to the risk level of the line, making a line differentiation operation and maintenance strategy.
8. The method of claim 7, wherein:
if the line risk level is acceptable risk, the operation and maintenance strategy is executed according to a first frequency;
if the line risk level is low risk, the operation and maintenance strategy is executed according to a second frequency;
if the line risk level is medium risk, the operation and maintenance strategy is executed according to a third frequency;
if the line risk level is high risk, the operation and maintenance strategy is executed according to the fourth frequency;
if the line risk level is a fault risk, immediately cutting off power, and eliminating potential safety hazards in time;
the first frequency is 1/60 days, the second frequency is 1/30 days, the third frequency is 1/15 days, and the fourth frequency is 1/7 days.
9. The method of claim 7, wherein the frequency of the operation and maintenance strategy comprises: line patrol frequency, temperature measurement frequency, and voltage measurement frequency.
10. The method of claim 1, wherein:
the classes of the operating conditions include: natural environment, equipment defects, mechanical stress, electrical shock risk, equipment environment, and human factors.
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| CN112308460A (en) * | 2020-11-23 | 2021-02-02 | 国网北京市电力公司 | Safety production risk assessment method and device, processor and risk assessment system |
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