CN113919528A - Power distribution network maintenance method under flood disaster - Google Patents
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Abstract
The invention discloses a power distribution network maintenance method under a flood disaster, which comprises the following steps of S1, establishing a rainfall and equipment failure rate relation model by combining flood disaster historical data and climate conditions of a region where a power distribution network to be analyzed is located; s2, establishing a toughness evaluation model of the power distribution network according to the state dimension, the architecture dimension and the time dimension of the power distribution network, and determining an influence index of the toughness evaluation model; s3, calculating the weight values of the state dimension, the architecture dimension and the time dimension in the toughness evaluation model, calculating the toughness index value corresponding to the influence index according to the grading grade interval to which the determined index value belongs, calculating and obtaining a comprehensive toughness index, and S4, sending a maintenance instruction to the maintainer of the corresponding grade according to the comprehensive toughness index and the relation information of the preset toughness index and the maintenance grade. The distribution network toughness evaluation model based on the three-dimensional index system accurately sends maintenance instructions to maintenance personnel of corresponding grades, and maintenance efficiency and power supply quality are improved.
Description
Technical Field
The invention relates to the technical field of power distribution network management, in particular to a power distribution network maintenance method under a flood disaster.
Background
Flood disasters can cause element faults, voltage instability, power failure accidents and economic losses of users and power supply companies to occur to the power distribution network, and even if the power supply companies finish rush repair, the rush repair cost is high on one hand, and the probability of secondary fault is high on the other hand, so that inconvenience is brought to the reliability of power supply.
Therefore, it becomes necessary to evaluate the grid. The evaluation of the toughness index of the power distribution network is beneficial to accurately predicting and dealing with power distribution network faults caused by flood disasters by power system operation and maintenance personnel, so that sufficient and reliable power supply is provided for key loads, and normal power supply of the power distribution network is quickly recovered.
In most previous researches, only the time dimension of flood disasters is considered, the application functions of the toughness evaluation of the power distribution network in planning, dispatching and monitoring cannot be embodied, the dynamic change of parameters of the power distribution network in a disaster process cannot be expressed, and the difficulty is caused for formulating the toughness improvement measures of the power distribution network.
Disclosure of Invention
The invention aims to provide a power distribution network maintenance method under a flood disaster, which is used for comprehensively evaluating the parameter change of a power distribution network under the flood disaster, and then performing targeted maintenance to improve the maintenance efficiency and the fault recovery efficiency of the power distribution network.
In order to solve the technical problem, an embodiment of the present invention provides a method for maintaining a power distribution network in a flood disaster, including:
s1, establishing a relation model between rainfall and equipment failure rate by combining flood disaster historical data and climatic conditions of the area where the distribution network to be analyzed is located;
s2, establishing a toughness evaluation model of the power distribution network according to the state dimension, the architecture dimension and the time dimension of the power distribution network, and determining an influence index of the toughness evaluation model;
s3, calculating the weight values of the state dimension, the framework dimension and the time dimension in the toughness evaluation model, calculating the toughness index value corresponding to the influence index according to the grade interval to which the determined index value belongs, and calculating and obtaining a comprehensive toughness index by combining the weight value and the toughness index value;
and S4, sending a maintenance instruction to maintenance personnel of a corresponding grade according to the comprehensive toughness index of the power distribution network to be analyzed and by combining the relation information of the preset toughness index and the maintenance grade.
In the S1, the calculation of the single node device failure rate in the model for establishing the relationship between the rainfall and the device failure rate is as follows:
wherein Q is the total rainfall; q. q.spIs the equipment defense level; n isiThe number of devices; qtThe current rainfall is; q. q.ssThe maximum rain resistance grade of the equipment; c0The fitting coefficients are:
the state dimension comprises a static dimension and a dynamic dimension, the architecture dimension comprises a technical architecture dimension and an environment architecture dimension, and the time dimension comprises a before-disaster dimension, an in-disaster dimension and an after-disaster dimension.
The influence indexes comprise the node equipment fault rate, the voltage qualification rate, the three-phase voltage unbalance degree, the proportion of the distributed power supply, the important load distribution balance degree, the operation times of the reconfiguration switch, the real-time loss of the load, the real-time economic loss caused by system power failure, the voltage stability after disaster, the proportion of the emergency power supply configuration capacity, the load recovery amount and the comprehensive power restoration time of the power distribution network.
Wherein the S3 includes:
s31, calculating the influence indexes and the weight values of the state dimension, the architecture dimension and the time dimension serving as criterion layers by a fuzzy analytic hierarchy process, and then determining a hierarchical analytic hierarchy process weight consistency index by adopting MATLAB programming;
s32, calculating specific index numerical values in a three-dimensional index system through the flood disaster historical data of the power distribution network, and obtaining the scores of the index numerical values by adopting a fuzzy membership function;
and S33, calculating according to the weight values and the scores of the index values to obtain a comprehensive toughness index of the distribution area under the flood disaster.
Wherein, after the S3, the method further comprises:
and sending warning information after the comprehensive toughness index is lower than the threshold toughness index.
Wherein, after the S3, the method further comprises:
and dynamically displaying the names and the positions of the power distribution networks lower than the threshold toughness index in sequence from small to large.
Wherein the S4 further includes:
after rating the comprehensive toughness index of the power distribution network to be analyzed, outputting a comprehensive toughness grade, and determining the corresponding maintenance grade according to the relation information between the preset toughness index and the maintenance grade and the comprehensive toughness grade;
or after the comprehensive toughness index of the power distribution network to be analyzed is converted into maintenance data information according to the relation information of the preset toughness index and the maintenance grade, converting the maintenance data information into the corresponding maintenance grade.
Compared with the prior art, the power distribution network maintenance method under the flood disaster provided by the embodiment of the invention has the following advantages:
the power distribution network maintenance method under the flood disaster provided by the embodiment of the invention is based on a power distribution network maintenance model of a three-dimensional index system, and combines flood disaster historical data and weather conditions of the area where the power distribution network to be analyzed is located, a relation model of rainfall and equipment fault rate is established, the fault probability of equipment is calculated, a comprehensive toughness index is calculated by calculating corresponding weight and specific evaluation numerical values of each index, the validity of the data is high, the finally obtained evaluation quality is high, a theoretical basis can be provided for power distribution network disaster influence and toughness evaluation, so that a worker can send a maintenance instruction to a maintainer of a corresponding grade according to the comprehensive toughness index of the power distribution network to be analyzed and the relation information of a preset toughness index and a maintenance grade, more targeted maintenance is realized, and the maintenance accuracy is improved, the maintenance cost is reduced, and the maintenance efficiency and the fault recovery efficiency of the power grid are improved for improving the maintenance efficiency and the power supply quality.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating steps of a method for maintaining a power distribution network in a flood disaster according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a step S3 of a specific implementation of a method for maintaining a power distribution network under a flood disaster according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Referring to fig. 1-2, fig. 2 is a flowchart illustrating a step S3 of a method for maintaining a power distribution network in a flood disaster according to an embodiment of the present invention.
In a specific embodiment, the method for maintaining the power distribution network under the flood disaster includes:
s1, establishing a relation model between rainfall and equipment failure rate by combining flood disaster historical data and climatic conditions of the area where the distribution network to be analyzed is located;
s2, establishing a toughness evaluation model of the power distribution network according to the state dimension, the architecture dimension and the time dimension of the power distribution network, and determining an influence index of the toughness evaluation model;
s3, calculating the weight values of the state dimension, the framework dimension and the time dimension in the toughness evaluation model, calculating the toughness index value corresponding to the influence index according to the grade interval to which the determined index value belongs, and calculating and obtaining a comprehensive toughness index by combining the weight value and the toughness index value;
and S4, sending a maintenance instruction to maintenance personnel of a corresponding grade according to the comprehensive toughness index of the power distribution network to be analyzed and by combining the relation information of the preset toughness index and the maintenance grade.
Based on a power distribution network maintenance model of a three-dimensional index system, and combined with flood disaster historical data and weather conditions of the area where the power distribution network to be analyzed is located, a rainfall and equipment fault rate relation model is established, the fault probability of equipment is calculated, then a comprehensive toughness index is calculated and obtained by calculating corresponding weight and specific evaluation numerical values of all indexes, the effectiveness of the data is high, the finally obtained evaluation quality is high, theoretical basis can be provided for power distribution network disaster influence and toughness evaluation, so that a worker can send a maintenance instruction to a maintainer of a corresponding grade according to the comprehensive toughness index of the power distribution network to be analyzed and combined with relation information of a preset toughness index and a maintenance grade, more targeted maintenance is realized, the maintenance accuracy is improved, the maintenance cost is reduced, and the maintenance efficiency and the power supply quality are improved, the maintenance efficiency and the fault recovery efficiency of the power grid are improved.
The distribution network is evaluated in the application, and the influence of the flood disaster on the distribution network is mainly evaluated outside, and the influence can be caused by the equipment of the distribution network per se due to the difference of service life, the difference of maintenance degree and the like, if the probability that the equipment with the service life reaching a certain degree breaks down in the face of the flood disaster with the same degree and the maintenance difficulty are different, the evaluation of the equipment is not limited in the application.
In one embodiment, the calculating is performed by a single node, and the S1 includes:
the failure rate of single node equipment is as follows:
wherein Q is the total rainfall; q. q.spIs the equipment defense level; n isiThe number of devices; qtThe current rainfall is; q. q.ssThe maximum rain resistance grade of the equipment; c0The fitting coefficients are:
the index reflects the severity of flood disasters and is a dynamic index of the membership environment architecture.
Although the evaluation is performed through three dimensions in the application, specific dimension information is not limited, and a worker can divide the information from different angles according to different modes.
Similarly, the type and the number of indexes influencing evaluation are not limited, and in one embodiment, the influence indexes include the node equipment failure rate, the voltage qualification rate, the three-phase voltage unbalance degree, the distributed power supply proportion, the important load distribution balance degree, the reconfiguration switch operation times, the load real-time loss amount, the real-time economic loss caused by system power failure, the post-disaster voltage stability, the emergency power supply configuration capacity proportion, the load recovery amount and the overall power restoration time of the power distribution network.
The sub-index models are established as follows:
(1) voltage qualification rate F1: the voltage qualification characterizes the annual supply voltage level of the power system in the normal operating mode.
Wherein t islThe voltage out-of-limit time is the voltage out-of-limit monitoring point; n islThe number of monitoring points.
(2) Three-phase voltage unbalance: the three-phase voltage unbalance degree is an index for representing the positive and negative zero-sequence components of the three-phase voltage and reflects whether the power distribution network runs safely.
Wherein, U1、U2、U0Respectively representing the root mean square values of the positive and negative zero sequence components of the three-phase voltage.
(3) And proportion of distributed power supply: the distributed power supply comprises new energy power generation technologies such as wind power, photoelectricity and biomass energy, and emergency power supply equipment including a micro gas turbine, and the proportion of the distributed power supply can affect the electric energy scheduling and emergency power supply problems in the middle and later periods of flood disasters.
Wherein SDGAnd S is the total capacity of the power supply of the distribution network.
(4) Important load distribution balance degree: the important load balance degree reflects whether the load distribution of different power distribution networks is even or not, the more balanced the load distribution is, the less the possibility that the important load is influenced by disasters to break the power is, and the higher the reliability is.
Wherein R isAvrRepresenting the mean value of all feeder load rates; riRepresenting the load rate on the i feeder line; n is
Indicating the number of feeders.
(5) And the operation times of the reconfiguration switch: representing the times of changing the line topology operation switch by the emergency control:
where N is the total number of switches operable in the distribution network, sj,tFor switch j during the t-th period 0-1 variable (0 is open, 1 is closed)
(6) And real-time load loss: the real-time load loss representation flood disaster load outage power in different time periods can be used as a standard for measuring power outage economic loss in a disaster:
wherein
The total active power is lost for the load t time; pdThe total load demand of the power distribution network.
(7) And real-time economic loss caused by system power failure: representing the ratio of economic loss caused by power failure at each time interval in the flood disaster to the total loss of the power distribution network:
wherein c islossCost per unit power load loss, ctotalThe total economic loss of the power distribution network at the time t.
(8) And voltage stability after disaster: the post-disaster voltage stability represents the voltage fluctuation condition of the power distribution network after various power restoration means:
wherein Vi,tIs the voltage value, V, of the node i at different times tNThe rated voltage value of the distribution network.
(9) And the emergency power supply configuration capacity proportion: representing the proportion of emergency power supply configuration capacity used for supplying power after disaster, wherein the higher the proportion is, the higher the emergency power supply utilization rate is:
wherein SDGThe capacity is configured for the distributed power source,
the active power output and the reactive power output of the distributed power supply are respectively.
(10) Load recovery amount: representing the total power proportion of post-disaster load recovery:
wherein
And restoring the active power for the post-disaster load.
(11) And comprehensive power recovery time of the power distribution network: the characterization is that the time required for recovering power supply from the load loss of the power distribution network to the full load during the crossing period of the flood disaster reflects the recovery speed of the power distribution network:
wherein t isrTime required for restoration of power supply to be fully satisfied, t0Time of power loss for starting load of power distribution network
In this application, after the evaluation model is established and the specific indicator is determined, the unweighting value and the specific indicator value need to be calculated, and this application does not limit the calculation process, and in an embodiment, the S3 includes:
s31, calculating the influence indexes and the weight values of the state dimension, the architecture dimension and the time dimension serving as criterion layers by a fuzzy analytic hierarchy process, and then determining a hierarchical analytic hierarchy process weight consistency index by adopting MATLAB programming;
s32, calculating specific index numerical values in a three-dimensional index system through the flood disaster historical data of the power distribution network, and obtaining the scores of the index numerical values by adopting a fuzzy membership function;
and S33, calculating according to the weight values and the scores of the index values to obtain a comprehensive toughness index of the distribution area under the flood disaster.
It should be noted that the present application includes, but is not limited to, calculating the weights by using a fuzzy analytic hierarchy process, calculating the index values by using a fuzzy membership function, and other methods may be used, and the specific range of the index values may be preset.
Fuzzy analytic hierarchy process by constructing fuzzy evaluation matrix X ═ Xij)n×mAnd obtaining the relative importance of each pair of factors in the same layer. The elements in the matrix can be represented as
xij＝(lij,mij,uij) (15)，
Wherein m isijThe common grade division and value of the quantized value of the strong importance grade are shown in table 1. lijAnd uijRepresenting the degree of blurring and the comparison scale, uij-lijThe larger the blur, the greater the degree of blur; u. ofijAnd lijIf the value of (a) is larger, the representative element i is more strongly polar than the element j, and vice versa, the element i is more strongly polar than the element j.
Table 1 common 9 importance levels and their assignments
After a fuzzy evaluation matrix given by expert analysis is obtained, the weight value matrix omega of each index can be solved through an analytic hierarchy process.
The toughness index fuzzy scoring adopts a trapezoidal and triangular fuzzy number membership function, the scoring grade is divided into five intervals, namely, the scoring grade is very good, relatively good, common, relatively bad and very bad, a membership relation matrix lambda corresponding to each sub-index value is obtained through MATLAB programming, and then the comprehensive toughness index F of the power distribution network under the flood disaster is obtained as lambda omega.
Since the comprehensive toughness indexes of different devices are different, in order to improve the maintenance efficiency and the management efficiency, in an embodiment, after the S3, the method further includes:
and sending warning information after the comprehensive toughness index is lower than the threshold toughness index.
Through sending out warning information, can make the staff can concentrate on these distribution networks with attention, avoid appearing omitting, improve the management efficiency, do not do the restriction to the mode of sending out of warning information and its specific content in this application.
Further, after S3, the method further includes:
and dynamically displaying the names and the positions of the power distribution networks lower than the threshold toughness index in sequence from small to large.
If the LED display screen or the liquid crystal display screen is used for dynamic display, the staff can remotely obtain the information, maintenance and management are carried out in a targeted manner, and the management efficiency is improved.
To achieve rapid maintenance, in one embodiment, the S4 further includes:
grading the comprehensive toughness index of the power distribution network to be analyzed, outputting a comprehensive toughness grade, and determining the corresponding maintenance top grade according to the relation information of the preset toughness index and the maintenance grade and the comprehensive toughness grade;
or after the comprehensive toughness index of the power distribution network to be analyzed is converted into maintenance data information according to the relation information between the preset toughness index and the maintenance grade, the maintenance data information is converted into the corresponding maintenance grade.
And grading by integrating toughness indexes, and determining the corresponding maintenance grade according to the corresponding relation. For example, it is evaluated as one to five grades, one lowest grade and five highest grade in percentage, the higher the toughness grade is, and conversely, the lower the grade is, and the higher the corresponding toughness grade is, the lower the grade to be maintained is, so the five grades of maintenance can be set similarly, and the toughness index of the lowest grade corresponds to the highest maintenance grade.
Similarly, after the comprehensive toughness index of the power distribution network to be analyzed is converted into maintenance data information according to the relationship information between the preset toughness index and the maintenance grade, the required maintenance grade is lower as the toughness is better, so that numerical value conversion can be directly performed, and then the final maintenance grade is obtained.
For example, in one embodiment, the combined toughness index rating and the maintenance rating are both in a five-level system, and the sum of the values is 6, i.e., the combined toughness index rating of the first level corresponds to the maintenance rating of the fifth level.
If the current comprehensive toughness index is 78, the grade can be firstly graded, the corresponding grade is obtained as four grades, the maintenance grade is obtained as two grades in the relation information of the corresponding preset toughness index and the maintenance grade, and then the corresponding maintenance instruction is output according to the grade. It may also be converted to maintenance information first. If both are set to be percent, the sum of the toughness comprehensive index and the maintenance information is 100, that is, 100 points of the toughness comprehensive index do not need maintenance, and 100 points of the maintenance information correspond to 0 points of the toughness comprehensive index, so that the highest-level maintenance scheme is needed. If the current toughness comprehensive index is 600 in total and the current calculation is 400 in total, the current toughness comprehensive index is converted into a percentage system, the converted toughness comprehensive index is a standard toughness comprehensive index, the converted toughness comprehensive index is 66.7 in calculation and can be known according to the corresponding grade, the grade is four, and the corresponding maintenance grade is two; if the current comprehensive toughness index is a standard comprehensive toughness index, if the current comprehensive toughness index is 78, the maintenance information is obtained by conversion to be 21, and the corresponding maintenance grade can be obtained to be two grades according to the corresponding maintenance grade information, so that the corresponding maintenance instruction is output.
The maintenance level scaling relationships described above are included in this application but are not limited thereto.
In the present application, different maintenance levels include different required maintenance personnel, for example, a higher level of maintenance requires a higher level of maintenance personnel, and may be more urgent, and a minimum level of maintenance knowledge may be a minor accident, and maintenance may be performed within one day, but five levels of maintenance may require maintenance within two hours, and the like. Therefore, when a maintenance instruction is issued, a maintenance time limit may also occur.
In one embodiment, the evaluation method in the present application comprises the following 4 steps,
1) and calculating to obtain the fault probability of each node device according to the real-time rainfall of the distribution transformer area under the flood disaster.
2) And calculating to obtain the specific numerical values of the 12 sub-indexes in the three-dimensional toughness evaluation index system according to the meteorological data and the historical data of the flood disasters.
3) Obtaining an index layer and criterion layer weight value matrix omega through a fuzzy evaluation matrix;
4) and determining a grading grade interval of index value membership according to the fuzzy membership function, obtaining a membership relation matrix lambda, and obtaining a final comprehensive toughness index of the power distribution area through matrix calculation.
This application includes, but is not limited to, the use of MATLAB for the corresponding matrix calculations.
To sum up, the power distribution network maintenance method under the flood disaster provided by the embodiment of the invention is based on the power distribution network maintenance model of the three-dimensional index system, and combines the flood disaster historical data and the climate conditions of the area where the power distribution network to be analyzed is located, establishes the relation model between rainfall and equipment failure rate, calculates the failure probability of the equipment, calculates the corresponding weight and the specific evaluation value of each index to obtain the comprehensive toughness index, has high data validity, and can provide a theoretical basis for the power distribution network disaster influence and toughness evaluation, so that a worker can send a maintenance instruction to the maintainers of the corresponding grade according to the comprehensive toughness index of the power distribution network to be analyzed and the relation information of the preset toughness index and the maintenance grade, thereby realizing more targeted maintenance and improving the maintenance accuracy, the maintenance cost is reduced, and the maintenance efficiency and the fault recovery efficiency of the power grid are improved for improving the maintenance efficiency and the power supply quality.
The method for maintaining the power distribution network under the flood disaster is described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (8)
1. A power distribution network maintenance method under a flood disaster is characterized by comprising the following steps:
s1, establishing a relation model between rainfall and equipment failure rate by combining flood disaster historical data and climatic conditions of the area where the distribution network to be analyzed is located;
s2, establishing a toughness evaluation model of the power distribution network according to the state dimension, the architecture dimension and the time dimension of the power distribution network, and determining an influence index of the toughness evaluation model;
s3, calculating the weight values of the state dimension, the framework dimension and the time dimension in the toughness evaluation model, calculating the toughness index value corresponding to the influence index according to the grade interval to which the determined index value belongs, and calculating and obtaining a comprehensive toughness index by combining the weight value and the toughness index value;
and S4, sending a maintenance instruction to maintenance personnel of a corresponding grade according to the comprehensive toughness index of the power distribution network to be analyzed and by combining the relation information of the preset toughness index and the maintenance grade.
2. The method for maintaining a power distribution network under a flood disaster according to claim 1, wherein the calculation of the fault rate of the single node device in the model of the relationship between rainfall and the fault rate of the device established in S1 is as follows:
wherein Q is the total rainfall; q. q.spIs the equipment defense level; n isiThe number of devices; qtThe current rainfall is; q. q.ssThe maximum rain resistance grade of the equipment; c0The fitting coefficients are:
3. the method for maintaining the power distribution network under the flood disaster according to claim 2, wherein the state dimension comprises a static dimension and a dynamic dimension, the architecture dimension comprises a technical architecture dimension and an environmental architecture dimension, and the time dimension comprises a before-disaster dimension, an in-disaster dimension and a after-disaster dimension.
4. The method for maintaining the power distribution network under the flood disaster as recited in claim 3, wherein the influence indexes comprise a node equipment failure rate, a voltage qualification rate, a three-phase voltage unbalance degree, a distributed power supply proportion, an important load distribution balance degree, a reconfiguration switch operation frequency, a load real-time loss amount, a real-time economic loss caused by system power failure, a post-disaster voltage stability, an emergency power supply configuration capacity proportion, a load recovery amount and a power distribution network comprehensive recovery time.
5. The method for maintaining an electrical distribution network under a flood disaster as recited in claim 4, wherein said S3 comprises:
s31, calculating the influence indexes and the weight values of the state dimension, the architecture dimension and the time dimension serving as criterion layers by a fuzzy analytic hierarchy process, and then determining a hierarchical analytic hierarchy process weight consistency index by adopting MATLAB programming;
s32, calculating specific index numerical values in a three-dimensional index system through the flood disaster historical data of the power distribution network, and obtaining the scores of the index numerical values by adopting a fuzzy membership function;
and S33, calculating according to the weight values and the scores of the index values to obtain a comprehensive toughness index of the distribution area under the flood disaster.
6. The method for maintaining an electrical distribution network during a flood disaster according to claim 5, further comprising, after the step of S3:
and sending warning information after the comprehensive toughness index is lower than the threshold toughness index.
7. The method for maintaining an electrical distribution network during a flood disaster according to claim 6, further comprising, after the step of S3:
and dynamically displaying the names and the positions of the power distribution networks lower than the threshold toughness index in sequence from small to large.
8. The method for maintaining an electrical distribution network during a flood disaster according to claim 7, wherein the step S4 further comprises:
after rating the comprehensive toughness index of the power distribution network to be analyzed, outputting a comprehensive toughness grade, and determining the corresponding maintenance grade according to the relation information between the preset toughness index and the maintenance grade and the comprehensive toughness grade;
or after the comprehensive toughness index of the power distribution network to be analyzed is converted into maintenance data information according to the relation information of the preset toughness index and the maintenance grade, converting the maintenance data information into the corresponding maintenance grade.
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| CN116843324B (en) * | 2023-09-01 | 2024-02-02 | 国网山东省电力公司东平县供电公司 | Distribution network operation and maintenance system, method, equipment and medium based on artificial intelligence |
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