CN115733258A - Control method of all-indoor intelligent substation system based on Internet of things technology - Google Patents

Control method of all-indoor intelligent substation system based on Internet of things technology Download PDF

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CN115733258A
CN115733258A CN202211661299.6A CN202211661299A CN115733258A CN 115733258 A CN115733258 A CN 115733258A CN 202211661299 A CN202211661299 A CN 202211661299A CN 115733258 A CN115733258 A CN 115733258A
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power equipment
abnormal
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潘东
胡晨
张慧洁
何宇辰
李涛
葛成
靳幸福
张纯玉
卫冕
梅晓晨
孙博
崔宏
刘超
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State Grid Anhui Zhongxing Electric Power Design Institute Co ltd
Economic and Technological Research Institute of State Grid Anhui Electric Power Co Ltd
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State Grid Anhui Zhongxing Electric Power Design Institute Co ltd
Economic and Technological Research Institute of State Grid Anhui Electric Power Co Ltd
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Abstract

The invention relates to the technical field of system control of all-indoor substations, and discloses a control method of an all-indoor intelligent substation system based on the Internet of things technology.

Description

Control method of all-indoor intelligent substation system based on Internet of things technology
Technical Field
The invention relates to the technical field of system control of an all-indoor transformer substation, in particular to a patrol control technology of the all-indoor transformer substation, and specifically relates to a control method of an all-indoor intelligent transformer substation system based on the technology of internet of things.
Background
With the development of cities, the traditional open-type transformer substation can not meet the requirements of city development and environmental protection, and the indoor transformer substation is applied to the cities more and more widely by virtue of the advantages of land conservation, attractiveness, environmental protection, reliable system and the like. Because the whole indoor transformer substation is formed by compactly arranging the main transformer and all high-low voltage electrical equipment, the probability of failure in the operation process is high, and meanwhile, the whole indoor transformer substation is an important link of an urban power grid, and the safe operation of the whole indoor transformer substation directly influences the safe operation of the whole power system, so that the inspection control of the whole indoor transformer substation is particularly necessary.
In view of the fact that a large number of power equipment exist in the whole indoor transformer substation, the operation stability of the power equipment is greatly influenced by the weather of the external environment, and the power equipment is easy to cause operation faults in abnormal weather, therefore, the routing inspection control of the whole indoor transformer substation in the abnormal weather type is relatively more important, but due to the fact that different power equipment are different in sensitivity degree to different abnormal weather types, the fault probability of different power equipment in different abnormal weather types is different, and the situation enables the whole indoor transformer substation to have different routing inspection requirements in different abnormal weather types. In the process of realizing the method, the inventor finds that the existing inspection control modes of the whole indoor transformer substation under various abnormal meteorological types are not very different, so that the matching degree of the actual inspection control mode and the inspection requirement is not high, the pertinence is lacked, the power equipment with the operation fault cannot be found in time, the inspection efficiency is reduced to a certain degree, and the expected inspection effect is difficult to achieve.
Disclosure of Invention
In order to overcome the defects, the invention provides a control method of an all-indoor intelligent substation system based on the internet of things technology, which is used for carrying out routing inspection control by taking the routing inspection period, the routing inspection power equipment and the routing inspection sequence of the all-indoor substation under the abnormal meteorological type as control objects by utilizing the historical operation and maintenance records of the all-indoor substation, and the specific technical scheme is as follows: a control method of a whole-indoor intelligent substation system based on the Internet of things technology comprises the following steps: step 1, the seating positions of all indoor transformer substations are obtained, and operation and maintenance fault information corresponding to each operation and maintenance record is extracted from historical operation and maintenance records corresponding to all indoor transformer substations.
And 2, extracting fault time points from the operation and maintenance fault information, and further extracting the meteorological information of the fault time points of the operation and maintenance records from the meteorological stations at the positions of the indoor substations based on the positions of the indoor substations.
And 3, analyzing the weather types of the fault time points of the operation and maintenance records according to the weather information of the fault time points of the operation and maintenance records, removing the operation and maintenance records belonging to normal weather types from the weather types, and recording the reserved weather types as abnormal weather.
And 4, classifying the operation and maintenance records corresponding to the same abnormal weather type to obtain an operation and maintenance record set corresponding to each abnormal weather type.
And 5, extracting fault power equipment from the operation and maintenance fault information, comparing the fault power equipment corresponding to each operation and maintenance record in the operation and maintenance record set corresponding to each abnormal weather type, and classifying the operation and maintenance records corresponding to the same fault power equipment to form the operation and maintenance record set corresponding to each abnormal weather type and each fault power equipment.
And 6, dividing the abnormal weather types existing in the located positions of the substations in the whole house into a conventional abnormal weather type and a specific abnormal weather type based on the operation and maintenance record set of each fault power device corresponding to each abnormal weather type.
And 7, intelligently determining the patrol cycle of the whole indoor transformer substation under the conventional abnormal meteorological type and the patrol cycle of the whole indoor transformer substation under the specific abnormal meteorological type respectively.
And 8, identifying key patrol inspection electric power equipment of the substation in the whole house under different meteorological types, and analyzing patrol inspection sequences of the key patrol inspection electric power equipment.
And 9, carrying out inspection control on the indoor transformer substation under the abnormal meteorological types based on the inspection period of the indoor transformer substation under the different meteorological types and the inspection sequence of the key inspection power equipment.
In one possible design, the operation and maintenance fault information includes a fault power device and a fault time point.
In one possible design, the meteorological information includes air temperature, air relative humidity, wind speed, and lightning risk level.
In a possible design, the analyzing the weather type of the fault time point of each operation and maintenance record according to the weather information of the fault time point of each operation and maintenance record specifically includes the following steps: and 31, extracting air temperatures from the meteorological information, comparing the air temperatures of the fault time points of the operation and maintenance records with the upper limit proper temperature and the lower limit proper temperature corresponding to the normal operation of the transformer substation in the reference database, if the air temperature of the fault time point of a certain operation and maintenance record is higher than the proper upper limit temperature corresponding to the normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as high-temperature weather, and if the air temperature of the fault time point of a certain operation and maintenance record is lower than the proper lower limit temperature corresponding to the normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as low-temperature weather.
And 32, extracting air relative humidity from the meteorological information, comparing the air relative humidity of the fault time point of each operation and maintenance record with the proper air relative humidity corresponding to the normal operation of the transformer substation in the reference database, and if the air relative humidity of the fault time point of a certain operation and maintenance record is greater than the proper air relative humidity corresponding to the normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as high humidity weather.
And step 33, extracting the wind speed from the meteorological information, comparing the wind speed of the fault time point of each operation and maintenance record with the allowable wind speed corresponding to the normal operation of the transformer substation in the reference database, and if the wind speed of the fault time point of a certain operation and maintenance record is greater than the allowable wind speed corresponding to the normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as gale weather.
And step 34, extracting lightning risk levels from the meteorological information, comparing the lightning risk levels of the fault time points of the operation and maintenance records with allowable lightning risk levels corresponding to normal operation of the transformer substation in the reference database, and if the lightning risk level of the fault time point of a certain operation and maintenance record is greater than the allowable lightning risk level corresponding to normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as lightning weather.
And 35, if the air temperature of a fault time point of a certain operation and maintenance record is between the upper limit suitable temperature and the lower limit suitable temperature corresponding to the normal operation of the transformer substation, the relative air humidity of the fault time point of the operation and maintenance record is equal to the suitable relative air humidity corresponding to the normal operation of the transformer substation, the wind speed of the fault time point of the operation and maintenance record is less than or equal to the allowable wind speed corresponding to the normal operation of the transformer substation, and the lightning risk level of the fault time point of the operation and maintenance record is less than or equal to the allowable lightning risk level corresponding to the normal operation of the transformer substation, analyzing that the weather type of the fault time point of the operation and maintenance record is normal weather.
In a possible design, the specific implementation method corresponding to the step 6 is as follows: and 61, respectively counting the number of the operation and maintenance records in the operation and maintenance record set of each fault power equipment corresponding to each abnormal weather type, and taking the operation and maintenance records as the operation and maintenance frequency corresponding to each fault power equipment in each abnormal weather type.
And step 62, dividing the operation and maintenance frequency corresponding to each fault power device in each abnormal weather type by the total number of the operation and maintenance records corresponding to each abnormal weather type, and calculating the operation and maintenance frequency ratio corresponding to each fault power device in each abnormal weather type.
And step 63, comparing the operation and maintenance frequency ratios corresponding to the fault power equipment in the different meteorological types with each other, and screening out the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio.
Step 64, passing the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio corresponding to each abnormal weather type through a formula
Figure BDA0004013311260000051
Calculating the operation and maintenance frequency floating index eta corresponding to each abnormal weather type i I is represented by an abnormal weather type number, i =1,2, \ 8230;, n, n is represented by the number of abnormal weather types, x i max、x i And min is respectively expressed as the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio corresponding to the ith abnormal weather type, and e is expressed as a natural constant.
And 65, comparing the operation and maintenance frequency floating index corresponding to each abnormal weather type with the set balanced operation and maintenance frequency floating index, classifying the abnormal weather type as a conventional abnormal weather type if the operation and maintenance frequency floating index corresponding to a certain abnormal weather type is less than or equal to the set balanced operation and maintenance frequency floating index, and classifying the abnormal weather type as a specific abnormal weather type if the operation and maintenance frequency floating index corresponding to the certain abnormal weather type is not more than the set balanced operation and maintenance frequency floating index, so that the abnormal weather types existing at the located position of the whole indoor transformer substation are classified into the conventional abnormal weather type and the specific abnormal weather type.
In one possible design, the patrol period of the indoor substation under the conventional abnormal meteorological type is determined according to the following determination steps: (1) Acquiring a conventional inspection cycle corresponding to the whole indoor transformer substation, and recording the conventional inspection cycle as T 0
(2) Carrying out mean value calculation on the operation and maintenance frequency ratio corresponding to each fault power equipment of the whole indoor transformer substation in the conventional abnormal meteorological type to obtain the average operation and maintenance frequency ratio of the whole indoor transformer substation in the conventional abnormal meteorological type, and recording the average operation and maintenance frequency ratio as
Figure BDA0004013311260000061
(3) Will T 0 And
Figure BDA0004013311260000062
substitution formula
Figure BDA0004013311260000063
Calculating the patrol period T of the whole indoor transformer substation under the conventional abnormal meteorological types General rule
In one possible design, the inspection cycle of the whole indoor substation under a specific abnormal meteorological type is determined according to the following determination steps: firstly, extracting the maximum operation and maintenance frequency ratio from the operation and maintenance frequency ratios corresponding to all fault power equipment in the specific abnormal meteorological type of the whole indoor transformer substation, taking the maximum operation and maintenance frequency ratio as the inclined operation and maintenance frequency ratio of the whole indoor transformer substation in the specific abnormal meteorological type, and recording the inclined operation and maintenance frequency ratio as x max
Second, the step of 0 And x max Substituting into formula
Figure BDA0004013311260000064
Calculating the specific difference of the whole indoor transformer substationPatrol period T under atmospheric type Is specified by
In one possible design, the implementation process of step 8 includes the following analysis steps: and 81, counting the number of the electric power equipment in the substation in the whole room, numbering each electric power equipment, and further extracting the associated electric power equipment corresponding to each electric power equipment and the association degree between the associated electric power equipment and the associated electric power equipment from the equipment association library.
And 82, taking fault power equipment of the whole indoor transformer substation in each abnormal meteorological type as key inspection power equipment of the whole indoor transformer substation in each abnormal meteorological type, and acquiring associated power equipment corresponding to each key inspection power equipment of the whole indoor transformer substation in each abnormal meteorological type and association degrees between the associated power equipment and the associated power equipment.
Step 83, calculating the operation and maintenance frequency ratio corresponding to each key inspection power device of the whole indoor substation under each abnormal meteorological type by combining the operation and maintenance frequency ratio corresponding to each key inspection power device with the associated power device corresponding to each key inspection power device and the association degree between the associated power device and the associated power device, wherein the calculation formula is that
Figure BDA0004013311260000071
Wherein
Figure BDA0004013311260000072
The method is characterized in that operation and maintenance associated responsivity of a jth important patrol power equipment corresponding to a kth associated power equipment of the ith abnormal meteorological type of the whole indoor substation is expressed, j is expressed as a number of the important patrol power equipment, j =1,2, \ 8230;, m, m is expressed as the number of the important patrol power equipment existing in the whole indoor substation under each abnormal meteorological type, k is expressed as a number of the associated power equipment corresponding to each important patrol power equipment, k =1,2, \ 8230, z, z is expressed as the number of the associated power equipment corresponding to each important patrol power equipment, and x is expressed as i j represents the operation and maintenance frequency ratio, epsilon, corresponding to j key inspection power equipment of the whole indoor transformer substation under the ith abnormal meteorological type j→ k representsAnd inspecting the association degree between the power equipment and the k-th associated power equipment for the j-th key point.
Step 84, matching each key inspection power device of the substation in the whole household under different weather types with the associated power device corresponding to other key inspection power devices, and matching the operation and maintenance associated influence degree corresponding to each key inspection power device from the key inspection power devices, and recording the operation and maintenance associated influence degree as y i j。
Step 85, let x i j and y i j through inspection priority evaluation formula
Figure BDA0004013311260000081
Evaluating the inspection priority psi corresponding to each key inspection power equipment of the substation in the whole house under different meteorological types i j, wherein R is a predetermined constant, and R>2, α and β are respectively expressed as balance factors corresponding to the set operation and maintenance frequency ratio and the operation and maintenance correlation influence degree.
And 86, sequencing the key inspection electric power equipment of the whole indoor transformer substation under the different meteorological types according to the sequence of the inspection priority from large to small to obtain the inspection sequence of the key inspection electric power equipment of the whole indoor transformer substation under the different meteorological types.
In one possible design, the inspection control process of the indoor substation under the abnormal weather type is as follows: and generating a patrol inspection operation table corresponding to the abnormal meteorological types according to patrol inspection periods, the key patrol inspection electric power equipment and patrol inspection sequences corresponding to the key patrol inspection electric power equipment of the substation in the whole house under the different meteorological types.
The method comprises the steps of acquiring meteorological information of the located position of the whole indoor substation in real time, identifying a meteorological type according to the meteorological information, and meanwhile judging whether the identified meteorological type belongs to an abnormal meteorological type.
And when the identified weather type is judged to belong to the abnormal weather type, matching the currently identified abnormal weather type with the inspection operation tables of the whole indoor transformer substation under the different weather types, matching the inspection operation tables of the whole indoor transformer substation under the current abnormal weather type, and transmitting the inspection operation tables to the inspection management center.
By combining all the technical schemes, the invention has the advantages and positive effects that:
1. according to the invention, the inspection cycle, the key inspection power equipment and the key inspection sequence of the whole indoor transformer substation under different meteorological types are analyzed by utilizing the historical operation and maintenance records of the whole indoor transformer substation, so that the control operation table under the corresponding meteorological type is generated according to the analysis result, the specific inspection control of the whole indoor transformer substation under various abnormal meteorological types is realized, the matching degree of the inspection control mode of the whole indoor transformer substation under various abnormal meteorological types and the inspection requirement under the corresponding abnormal meteorological types is greatly improved, the power equipment with operation faults can be timely found, the inspection efficiency is improved to a certain extent, and the inspection effect is favorably improved.
2. According to the method, the analysis basis adopted by the inspection control of the whole indoor transformer substation under the abnormal meteorological type is the historical operation and maintenance record of the whole indoor transformer substation, so that on one hand, the reliable applicability of the control result is improved, on the other hand, the extra value of the historical operation and maintenance record is effectively exerted, the waste of the historical operation and maintenance resource is greatly avoided, and the method has a great practical advantage.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the method implementation steps 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, the invention provides a control method of an all-indoor intelligent substation system based on the technology of internet of things, which comprises the following steps: step 1, obtaining the location position of an all-indoor substation, and extracting operation and maintenance fault information corresponding to each operation and maintenance record from historical operation and maintenance records corresponding to the all-indoor substation, wherein the operation and maintenance fault information comprises fault power equipment and fault time points.
And 2, extracting fault time points from the operation and maintenance fault information, and further extracting meteorological information of the fault time points of the operation and maintenance records from weather stations at the positions of the indoor substations based on the positions of the indoor substations, wherein the meteorological information comprises air temperature, air relative humidity, wind speed and lightning risk levels.
And 3, analyzing the weather types of the fault time points of the operation and maintenance records according to the weather information of the fault time points of the operation and maintenance records, removing the operation and maintenance records belonging to the normal weather types from the weather types, and recording the reserved weather types as abnormal weather.
As a preferred example of the present invention, the analyzing the weather type of the fault time point of each operation and maintenance record according to the weather information of the fault time point of each operation and maintenance record specifically includes the following steps: and 31, extracting air temperatures from the meteorological information, comparing the air temperatures of the fault time points of the operation and maintenance records with the upper limit suitable temperature and the lower limit suitable temperature corresponding to the normal operation of the transformer substation in the reference database, if the air temperature of the fault time point of one operation and maintenance record is higher than the suitable upper limit temperature corresponding to the normal operation of the transformer substation, analyzing the meteorological type of the fault time point of the operation and maintenance record as high-temperature meteorological, and if the air temperature of the fault time point of one operation and maintenance record is lower than the suitable lower limit temperature corresponding to the normal operation of the transformer substation, analyzing the meteorological type of the fault time point of the operation and maintenance record as low-temperature meteorological.
And 32, extracting air relative humidity from the meteorological information, comparing the air relative humidity of the fault time point of each operation and maintenance record with the proper air relative humidity corresponding to the normal operation of the transformer substation in the reference database, and analyzing that the meteorological type of the fault time point of the operation and maintenance record is high-humidity meteorological data if the air relative humidity of the fault time point of the operation and maintenance record is greater than the proper air relative humidity corresponding to the normal operation of the transformer substation.
And step 33, extracting the wind speed from the meteorological information, comparing the wind speed of the fault time point of each operation and maintenance record with the allowable wind speed corresponding to the normal operation of the transformer substation in the reference database, and if the wind speed of the fault time point of a certain operation and maintenance record is greater than the allowable wind speed corresponding to the normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as gale weather.
And step 34, extracting lightning risk levels from the meteorological information, comparing the lightning risk levels of the fault time points of the operation and maintenance records with allowable lightning risk levels corresponding to normal operation of the transformer substation in the reference database, and analyzing the meteorological type of the fault time points of the operation and maintenance records as lightning meteorology if the lightning risk level of the fault time points of the operation and maintenance records is greater than the allowable lightning risk level corresponding to normal operation of the transformer substation.
And 35, if the air temperature of a fault time point of a certain operation and maintenance record is between the upper limit suitable temperature and the lower limit suitable temperature corresponding to the normal operation of the transformer substation, the relative air humidity of the fault time point of the operation and maintenance record is equal to the suitable relative air humidity corresponding to the normal operation of the transformer substation, the wind speed of the fault time point of the operation and maintenance record is less than or equal to the allowable wind speed corresponding to the normal operation of the transformer substation, and the lightning risk level of the fault time point of the operation and maintenance record is less than or equal to the allowable lightning risk level corresponding to the normal operation of the transformer substation, analyzing that the weather type of the fault time point of the operation and maintenance record is normal weather.
Illustratively, the above mentioned lightning risk levels include high, medium, and low.
And 4, classifying the operation and maintenance records corresponding to the same abnormal weather type to obtain an operation and maintenance record set corresponding to each abnormal weather type.
And 5, extracting fault power equipment from the operation and maintenance fault information, comparing the fault power equipment corresponding to each operation and maintenance record in the operation and maintenance record set corresponding to each abnormal weather type, and classifying the operation and maintenance records corresponding to the same fault power equipment to form the operation and maintenance record set corresponding to each abnormal weather type and each fault power equipment.
Step 6, dividing the abnormal weather types existing in the located positions of the transformer substations in the whole house into conventional abnormal weather types and specific abnormal weather types based on the operation and maintenance record sets of the fault power equipment corresponding to the abnormal weather types, wherein the specific implementation method comprises the following steps: and 61, respectively counting the number of the operation and maintenance records in the operation and maintenance record set of each fault power equipment corresponding to each abnormal weather type, and taking the operation and maintenance records as the operation and maintenance frequency corresponding to each fault power equipment in each abnormal weather type.
And step 62, dividing the operation and maintenance frequency corresponding to each fault power device in each abnormal weather type by the total number of the operation and maintenance records corresponding to each abnormal weather type, and calculating the operation and maintenance frequency ratio corresponding to each fault power device in each abnormal weather type.
And 63, comparing the operation and maintenance frequency ratios corresponding to the fault power equipment in the different weather types, and screening out the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio.
Step 64, passing the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio corresponding to each abnormal weather type through a formula
Figure BDA0004013311260000121
Calculating the operation and maintenance frequency floating index eta corresponding to each abnormal weather type i I is represented by an abnormal weather type number, i =1,2, \ 8230;, n, n is represented by the number of abnormal weather types, x i max、x i And min is respectively expressed as a maximum operation and maintenance frequency ratio and a minimum operation and maintenance frequency ratio corresponding to the ith abnormal weather type, and e is expressed as a natural constant, wherein the larger the difference between the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio is, the larger the operation and maintenance frequency floating index corresponding to the abnormal weather type is.
And 65, comparing the operation and maintenance frequency floating index corresponding to each abnormal weather type with the set balanced operation and maintenance frequency floating index, classifying the abnormal weather type into a conventional abnormal weather type if the operation and maintenance frequency floating index corresponding to a certain abnormal weather type is less than or equal to the set balanced operation and maintenance frequency floating index, and classifying the abnormal weather type into a specific abnormal weather type if the operation and maintenance frequency floating index corresponding to the certain abnormal weather type is not more than the set balanced operation and maintenance frequency floating index, so that the abnormal weather types existing at the whole indoor transformer substation location are classified into the conventional abnormal weather type and the specific abnormal weather type.
And 7, intelligently determining the inspection cycle of the whole indoor transformer substation under the conventional abnormal meteorological type and the inspection cycle of the whole indoor transformer substation under the specific abnormal meteorological type respectively.
As another specific example of the present invention, in the inspection cycle of the indoor substation under the normal abnormal weather type, the following determination steps are referred to: (1) Acquiring a conventional patrol cycle corresponding to the whole indoor substation, and recording the routine patrol cycle as T 0
(2) Carrying out mean value calculation on the operation and maintenance frequency ratio corresponding to each fault power equipment of the whole indoor transformer substation in the conventional abnormal meteorological type to obtain the average operation and maintenance frequency ratio of the whole indoor transformer substation in the conventional abnormal meteorological type, and recording the average operation and maintenance frequency ratio as
Figure BDA0004013311260000131
(3) Will T 0 And
Figure BDA0004013311260000132
substitution formula
Figure BDA0004013311260000133
Calculating the patrol period T of the whole indoor transformer substation under the conventional abnormal meteorological types General of
The inspection cycle of the substation in all households in the above-mentioned middle and all households under the specific abnormal meteorological type is referred to the following determination steps: firstly, extracting the maximum operation and maintenance frequency ratio from the operation and maintenance frequency ratios corresponding to each fault power equipment in a specific abnormal meteorological type of the transformer substation in all households, and taking the maximum operation and maintenance frequency ratio as the operation and maintenance frequency ratioThe ratio of the inclined operation and maintenance frequency of the whole indoor transformer substation under the specific abnormal meteorological type is recorded as x max
Second, the step of 0 And x max Substitution formula
Figure BDA0004013311260000141
Calculating the patrol period T of the whole indoor transformer substation under the specific abnormal meteorological type Is specified in
The analysis of the routing inspection period of the whole indoor substation under the abnormal weather type is performed through the specific analysis by dividing the conventional abnormal weather type and the specific abnormal weather type, so that the accuracy of the analysis result can be greatly improved, and the routing inspection period requirements under the corresponding abnormal weather type can be better adapted, wherein the incidence rate of the fault power equipment under the conventional abnormal weather type is more balanced, the incidence rate of the fault power equipment under the specific abnormal weather type is greatly higher than that of the fault power equipment under the specific abnormal weather type, and the routing inspection period requirements under the two abnormal weather types are greatly different.
Step 8, identifying key routing inspection electric power equipment of the substation in the whole house under different meteorological types, and analyzing routing inspection sequence of the key routing inspection electric power equipment, wherein the specific implementation process comprises the following analysis steps: and 81, counting the number of the electric power equipment in the substation in the whole house, numbering each electric power equipment, and further extracting the associated electric power equipment corresponding to each electric power equipment and the association degree between the associated electric power equipment and the associated electric power equipment from the equipment association library.
And 82, taking fault power equipment of the whole indoor substation in different meteorological types as key patrol power equipment of the whole indoor substation in different meteorological types, and acquiring associated power equipment corresponding to the key patrol power equipment of the whole indoor substation in different meteorological types and the association degree between the associated power equipment and the associated power equipment.
83, combining the operation and maintenance frequency ratio corresponding to each key inspection electric power equipment of the whole indoor transformer substation under different meteorological types with the associated electric power equipment corresponding to each key inspection electric power equipment and the corresponding power equipmentThe correlation degree between the associated equipment is calculated to calculate the operation and maintenance correlation responsivity of the power equipment corresponding to the key routing inspection power equipment of the substation in the whole house under different meteorological types, and the calculation formula is
Figure BDA0004013311260000151
Wherein
Figure BDA0004013311260000152
The method is characterized in that operation and maintenance associated responsivity of jth key inspection electric power equipment corresponding to kth associated electric power equipment of the whole indoor substation under the ith abnormal weather type is represented, j is represented as a key inspection electric power equipment number, j =1,2, \8230;, m, m are represented as the number of key inspection electric power equipment of the whole indoor substation under each abnormal weather type, k is represented as the number of associated electric power equipment corresponding to each key inspection electric power equipment, k =1,2, \8230, z, z are represented as the number of associated electric power equipment corresponding to each key inspection electric power equipment, and x is represented as i j represents the operation and maintenance frequency ratio, epsilon, corresponding to the jth important inspection power equipment of the whole indoor substation under the ith abnormal meteorological type j→k And expressing the association degree between the jth key inspection electric power equipment and the kth associated electric power equipment.
Step 84, matching each key inspection power device of the substation in the whole household under different weather types with the associated power device corresponding to other key inspection power devices, and matching the operation and maintenance associated influence degree corresponding to each key inspection power device from the key inspection power devices, and recording the operation and maintenance associated influence degree as y i And j, if the key point inspection electric power equipment is successfully matched with the associated electric power equipment corresponding to other key point inspection electric power equipment, taking the operation and maintenance associated responsivity of the associated electric power equipment corresponding to other key point inspection electric power equipment as the operation and maintenance associated responsivity corresponding to the key point inspection electric power equipment, and otherwise, recording the operation and maintenance associated responsivity corresponding to the key point inspection electric power equipment as 0.
Step 85, let x i j and y i j through inspection priority evaluation formula
Figure BDA0004013311260000153
Evaluate out the whole housePatrol priority psi corresponding to each key patrol power equipment of internal transformer substation under different meteorological types i j, wherein R is represented as a predetermined constant, and R>2, α and β are respectively expressed as balance factors corresponding to the set operation and maintenance frequency ratio and the operation and maintenance correlation influence degree.
And 86, sequencing the key inspection electric power equipment of the whole indoor transformer substation under the different meteorological types according to the sequence of the inspection priority from large to small to obtain the inspection sequence of the key inspection electric power equipment of the whole indoor transformer substation under the different meteorological types.
According to the method, the analysis basis adopted by the inspection control of the whole indoor transformer substation under the abnormal meteorological type is the historical operation and maintenance record of the whole indoor transformer substation, so that on one hand, the reliable applicability of the control result is improved, on the other hand, the extra value of the historical operation and maintenance record is effectively exerted, the waste of the historical operation and maintenance resource is greatly avoided, and the method has a great practical advantage.
Step 9, carrying out routing inspection control on the whole indoor transformer substation under the abnormal meteorological types based on the routing inspection period of the whole indoor transformer substation under the different abnormal meteorological types and the routing inspection sequence of the key routing inspection power equipment, wherein the specific routing inspection control process is as follows: and generating a routing inspection operation table corresponding to the abnormal meteorological types according to the routing inspection periods, the key routing inspection electric power equipment and the routing inspection sequence corresponding to the key routing inspection electric power equipment of the substation in the whole house under the different meteorological types.
And acquiring weather information of the locating positions of the transformer substations in the whole room in real time, identifying weather types according to the weather information, and judging whether the identified weather types belong to abnormal weather types according to the step 3.
And when the recognized weather type is judged to belong to the abnormal weather type, matching the currently recognized abnormal weather type with the patrol operation tables of the whole indoor transformer substation under the different abnormal weather types, matching the patrol operation tables of the whole indoor transformer substation under the current abnormal weather type, and transmitting the patrol operation tables to the patrol management center.
According to the invention, the inspection cycle, the key inspection power equipment and the key inspection power equipment inspection sequence of the whole indoor transformer substation under different meteorological types are analyzed by utilizing the historical operation and maintenance records of the whole indoor transformer substation, so that the control operation table corresponding to the meteorological type is generated according to the analysis result, the targeted inspection control of the whole indoor transformer substation under various abnormal meteorological types is realized, the matching degree of the inspection control mode of the whole indoor transformer substation under various abnormal meteorological types and the inspection requirement corresponding to the abnormal meteorological types is greatly improved, the power equipment with operation faults can be timely found, the inspection efficiency is improved to a certain extent, and the inspection effect is favorably improved.
In the implementation process of the invention, a reference database and an equipment association library are also used, wherein the reference database is used for storing the upper limit suitable temperature and the lower limit suitable temperature corresponding to the normal operation of the transformer substation, illustratively, the upper limit suitable temperature and the lower limit suitable temperature are respectively 40 ℃ and 20 ℃, the suitable air relative humidity corresponding to the normal operation of the transformer substation is stored, illustratively, the suitable air relative humidity is 90%, the allowed wind speed corresponding to the normal operation of the transformer substation is stored, illustratively, the allowed wind speed is 35m/s, the allowed lightning risk level corresponding to the normal operation of the transformer substation is stored, and the exemplary allowed lightning risk level is low.
The equipment association library is used for storing associated electric equipment corresponding to each electric equipment and association degree between the associated electric equipment and the associated electric equipment.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (9)

1. A control method of an all-indoor intelligent substation system based on the technology of the Internet of things is characterized by comprising the following steps:
step 1, acquiring the seating positions of all indoor transformer substations, and extracting operation and maintenance fault information corresponding to each operation and maintenance record from historical operation and maintenance records corresponding to all indoor transformer substations;
step 2, extracting fault time points from the operation and maintenance fault information, and further extracting meteorological information of the fault time points of the operation and maintenance records from meteorological stations at the positions of the indoor substations based on the positions of the indoor substations;
step 3, analyzing the weather types of the fault time points of the operation and maintenance records according to the weather information of the fault time points of the operation and maintenance records, removing the operation and maintenance records belonging to normal weather types from the weather types, and recording the reserved weather types as abnormal weather;
step 4, classifying the operation and maintenance records corresponding to the same abnormal weather type to obtain an operation and maintenance record set corresponding to each abnormal weather type;
step 5, extracting fault power equipment from the operation and maintenance fault information, comparing the fault power equipment corresponding to each operation and maintenance record in the operation and maintenance record set corresponding to each abnormal weather type, and classifying the operation and maintenance records corresponding to the same fault power equipment to form an operation and maintenance record set corresponding to each abnormal weather type and each fault power equipment;
step 6, dividing abnormal weather types existing at the located positions of the transformer substations in the whole house into conventional abnormal weather types and specific abnormal weather types based on the operation and maintenance record sets of the fault power equipment corresponding to the abnormal weather types;
step 7, respectively and intelligently determining the routing inspection period of the whole indoor transformer substation under the conventional abnormal meteorological type and the routing inspection period of the whole indoor transformer substation under the specific abnormal meteorological type;
step 8, identifying key patrol inspection electric power equipment of the substation in the whole house under different meteorological types, and analyzing patrol inspection sequences of the key patrol inspection electric power equipment;
and 9, carrying out routing inspection control on the whole indoor transformer substation under the abnormal meteorological types based on the routing inspection period of the whole indoor transformer substation under the different abnormal meteorological types and the routing inspection sequence of the key routing inspection power equipment.
2. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 1, comprises the following parameters: the operation and maintenance fault information comprises fault power equipment and a fault time point.
3. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 2, comprises the following parameters: the meteorological information includes air temperature, air relative humidity, wind speed, and lightning risk level.
4. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 3, characterized in that: the analyzing the weather type of the fault time point of each operation and maintenance record according to the weather information of the fault time point of each operation and maintenance record specifically comprises the following steps:
step 31, extracting air temperatures from the meteorological information, comparing the air temperatures of the fault time points of the operation and maintenance records with an upper limit proper temperature and a lower limit proper temperature corresponding to the normal operation of the transformer substation in a reference database, if the air temperature of the fault time point of a certain operation and maintenance record is higher than the proper upper limit temperature corresponding to the normal operation of the transformer substation, analyzing the meteorological type of the fault time point of the operation and maintenance record as a high-temperature meteorological condition, and if the air temperature of the fault time point of a certain operation and maintenance record is lower than the proper lower limit temperature corresponding to the normal operation of the transformer substation, analyzing the meteorological type of the fault time point of the operation and maintenance record as a low-temperature meteorological condition;
step 32, extracting air relative humidity from the meteorological information, comparing the air relative humidity of the fault time point of each operation and maintenance record with the proper air relative humidity corresponding to the normal operation of the transformer substation in the reference database, and if the air relative humidity of the fault time point of a certain operation and maintenance record is greater than the proper air relative humidity corresponding to the normal operation of the transformer substation, analyzing the weather type of the fault time point of the operation and maintenance record as high humidity weather;
step 33, extracting wind speed from the meteorological information, comparing the wind speed of the fault time point of each operation and maintenance record with the allowable wind speed corresponding to the normal operation of the transformer substation in the reference database, and if the wind speed of the fault time point of a certain operation and maintenance record is greater than the allowable wind speed corresponding to the normal operation of the transformer substation, analyzing the meteorological type of the fault time point of the operation and maintenance record as gale meteorological;
step 34, extracting lightning risk levels from the meteorological information, comparing the lightning risk levels of the fault time points of the operation and maintenance records with allowable lightning risk levels corresponding to normal operation of the transformer substation in a reference database, and if the lightning risk level of the fault time point of one operation and maintenance record is greater than the allowable lightning risk level corresponding to normal operation of the transformer substation, analyzing the meteorological type of the fault time point of the operation and maintenance record as lightning meteorology;
and 35, if the air temperature of a fault time point of a certain operation and maintenance record is between the upper limit suitable temperature and the lower limit suitable temperature corresponding to the normal operation of the transformer substation, the air relative humidity of the fault time point of the operation and maintenance record is equal to the suitable air relative humidity corresponding to the normal operation of the transformer substation, the wind speed of the fault time point of the operation and maintenance record is less than or equal to the allowable wind speed corresponding to the normal operation of the transformer substation, and the lightning risk level of the fault time point of the operation and maintenance record is less than or equal to the allowable lightning risk level corresponding to the normal operation of the transformer substation, analyzing that the weather type of the fault time point of the operation and maintenance record is normal weather.
5. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 1, characterized in that: the specific implementation method corresponding to the step 6 is as follows:
step 61, respectively counting the number of operation and maintenance records in the operation and maintenance record set of each fault power equipment corresponding to each abnormal weather type, and taking the operation and maintenance records as the operation and maintenance frequency corresponding to each fault power equipment in each abnormal weather type;
step 62, dividing the operation and maintenance frequency corresponding to each fault power equipment in each abnormal weather type by the total number of the operation and maintenance records corresponding to each abnormal weather type, and calculating the operation and maintenance frequency ratio corresponding to each fault power equipment in each abnormal weather type;
step 63, comparing the operation and maintenance frequency ratios corresponding to the fault power equipment in the different meteorological types with each other, and screening out a maximum operation and maintenance frequency ratio and a minimum operation and maintenance frequency ratio;
step 64, passing the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio corresponding to each abnormal weather type through a formula
Figure FDA0004013311250000041
Calculating the operation and maintenance frequency floating index eta corresponding to each abnormal weather type i I is represented by an abnormal weather type number, i =1,2, \8230, n, n is represented by the number of abnormal weather types, x i max、x i min is respectively expressed as the maximum operation and maintenance frequency ratio and the minimum operation and maintenance frequency ratio corresponding to the ith abnormal weather type, and e is expressed as a natural constant;
and 65, comparing the operation and maintenance frequency floating index corresponding to each abnormal weather type with the set balanced operation and maintenance frequency floating index, classifying the abnormal weather type into a conventional abnormal weather type if the operation and maintenance frequency floating index corresponding to a certain abnormal weather type is less than or equal to the set balanced operation and maintenance frequency floating index, and classifying the abnormal weather type into a specific abnormal weather type if the operation and maintenance frequency floating index corresponding to the certain abnormal weather type is not more than the set balanced operation and maintenance frequency floating index, so that the abnormal weather types existing at the whole indoor transformer substation location are classified into the conventional abnormal weather type and the specific abnormal weather type.
6. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 1, characterized in that: the inspection cycle of the indoor substation under the conventional abnormal meteorological type refers to the following determination steps:
(1) Acquiring a conventional patrol cycle corresponding to the whole indoor substation, and recording the routine patrol cycle as T 0
(2) Carrying out mean value calculation on the operation and maintenance frequency ratio corresponding to each fault power equipment of the whole indoor transformer substation in the conventional abnormal meteorological type to obtain the average operation and maintenance frequency ratio of the whole indoor transformer substation in the conventional abnormal meteorological type, and recording the average operation and maintenance frequency ratio as
Figure FDA0004013311250000051
(3) Will T 0 And with
Figure FDA0004013311250000052
Substituting into formula
Figure FDA0004013311250000053
Calculating the patrol period T of the whole indoor transformer substation under the conventional abnormal meteorological type General rule
7. The control method of the all-indoor intelligent substation system based on the Internet of things technology according to claim 6, characterized in that: the inspection cycle of the substation in the whole house under the specific abnormal meteorological type refers to the following determination steps:
the method comprises the steps of firstly, extracting the maximum operation and maintenance frequency ratio from the operation and maintenance frequency ratios corresponding to all fault power equipment of the whole indoor transformer substation in a specific abnormal meteorological type, taking the maximum operation and maintenance frequency ratio as the inclined operation and maintenance frequency ratio of the whole indoor transformer substation in the specific abnormal meteorological type, and recording the inclined operation and maintenance frequency ratio as x max
Second, the step of 0 And x max Substitution formula
Figure FDA0004013311250000054
Calculating the patrol period T of the whole indoor transformer substation under the specific abnormal meteorological type Is specified in
8. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 5, characterized in that: the specific implementation process of the step 8 comprises the following analysis steps:
step 81, counting the number of the electric power equipment in the substation in the whole house, numbering each electric power equipment, and further extracting the associated electric power equipment corresponding to each electric power equipment and the association degree between the associated electric power equipment and the associated electric power equipment from the equipment association library;
step 82, taking fault power equipment of the whole indoor substation in different abnormal meteorological types as key patrol power equipment of the whole indoor substation in different abnormal meteorological types, and accordingly acquiring associated power equipment corresponding to the key patrol power equipment of the whole indoor substation in different abnormal meteorological types and the association degree between the associated power equipment and the associated power equipment;
step 83, calculating the operation and maintenance frequency ratio corresponding to each key inspection power device of the whole indoor substation under each abnormal meteorological type by combining the operation and maintenance frequency ratio corresponding to each key inspection power device with the associated power device corresponding to each key inspection power device and the association degree between the associated power device and the associated power device, wherein the calculation formula is that
Figure FDA0004013311250000061
Wherein
Figure FDA0004013311250000062
The method is characterized in that operation and maintenance associated responsivity of a jth important patrol power equipment corresponding to a kth associated power equipment of the ith abnormal meteorological type of the whole indoor substation is expressed, j is expressed as a number of the important patrol power equipment, j =1,2, \ 8230;, m, m is expressed as the number of the important patrol power equipment existing in the whole indoor substation under each abnormal meteorological type, k is expressed as a number of the associated power equipment corresponding to each important patrol power equipment, k =1,2, \ 8230, z, z is expressed as the number of the associated power equipment corresponding to each important patrol power equipment, and x is expressed as i j represents the operation and maintenance frequency ratio, epsilon, corresponding to the jth important inspection power equipment of the whole indoor substation under the ith abnormal meteorological type j→k The association degree between the jth important inspection electric power equipment and the kth associated electric power equipment is expressed;
step 84, matching each key inspection power device of the substation in the whole household under different weather types with the associated power device corresponding to other key inspection power devices, and matching the operation and maintenance associated influence degree corresponding to each key inspection power device from the key inspection power devices, and recording the operation and maintenance associated influence degree as y i j;
Step 85, let x i j and y i j is through the assessment formula of the priority of patrolling and examining
Figure FDA0004013311250000071
Evaluating the inspection priority psi corresponding to each key inspection power equipment of the substation in the whole house under different meteorological types i j, wherein R is represented as a predetermined constant, and R>2, respectively expressing alpha and beta as set balance factors corresponding to the operation and maintenance frequency ratio and the operation and maintenance association influence degree;
and 86, sequencing the key inspection electric power equipment of the whole indoor transformer substation under the different meteorological types according to the sequence of the inspection priority from large to small to obtain the inspection sequence of the key inspection electric power equipment of the whole indoor transformer substation under the different meteorological types.
9. The control method of the all-indoor intelligent substation system based on the internet of things technology according to claim 1, characterized in that: the patrol inspection control process of the whole indoor transformer substation under the abnormal meteorological type is as follows:
generating a patrol inspection operation table corresponding to abnormal meteorological types according to patrol inspection periods, key patrol inspection electric power equipment and patrol inspection sequences corresponding to the key patrol inspection electric power equipment of all indoor substations under the different abnormal meteorological types;
acquiring weather information of the located position of the whole indoor transformer substation in real time, identifying weather types according to the weather information, and judging whether the identified weather types belong to abnormal weather types;
and when the recognized weather type is judged to belong to the abnormal weather type, matching the currently recognized abnormal weather type with the patrol operation tables of the whole indoor transformer substation under the different abnormal weather types, matching the patrol operation tables of the whole indoor transformer substation under the current abnormal weather type, and transmitting the patrol operation tables to the patrol management center.
CN202211661299.6A 2022-12-23 2022-12-23 Control method of all-indoor intelligent substation system based on Internet of things technology Pending CN115733258A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117034174A (en) * 2023-09-26 2023-11-10 国网安徽省电力有限公司经济技术研究院 Transformer substation equipment abnormality detection method and system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117034174A (en) * 2023-09-26 2023-11-10 国网安徽省电力有限公司经济技术研究院 Transformer substation equipment abnormality detection method and system
CN117034174B (en) * 2023-09-26 2023-12-29 国网安徽省电力有限公司经济技术研究院 Transformer substation equipment abnormality detection method and system

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