CN116756521B - Power transmission and distribution equipment full life cycle management system and method based on big data analysis - Google Patents
Power transmission and distribution equipment full life cycle management system and method based on big data analysis Download PDFInfo
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- CN116756521B CN116756521B CN202311006803.3A CN202311006803A CN116756521B CN 116756521 B CN116756521 B CN 116756521B CN 202311006803 A CN202311006803 A CN 202311006803A CN 116756521 B CN116756521 B CN 116756521B
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 55
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000007405 data analysis Methods 0.000 title claims abstract description 19
- 230000032683 aging Effects 0.000 claims abstract description 89
- 239000011810 insulating material Substances 0.000 claims abstract description 88
- 238000004804 winding Methods 0.000 claims abstract description 8
- 238000007726 management method Methods 0.000 claims description 94
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 72
- 238000012423 maintenance Methods 0.000 claims description 48
- 239000012774 insulation material Substances 0.000 claims description 36
- 238000006116 polymerization reaction Methods 0.000 claims description 27
- 230000015556 catabolic process Effects 0.000 claims description 9
- 238000006731 degradation reaction Methods 0.000 claims description 9
- 238000010521 absorption reaction Methods 0.000 claims description 6
- 238000009413 insulation Methods 0.000 claims description 6
- 230000008859 change Effects 0.000 claims description 4
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- 239000000428 dust Substances 0.000 abstract description 4
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- 230000018109 developmental process Effects 0.000 description 1
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- 238000011418 maintenance treatment Methods 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a full life cycle management system and method for power transmission and distribution equipment based on big data analysis, and belongs to the technical field of power transmission and distribution equipment management. The invention comprises the following steps: s10: embedding a temperature and humidity sensor in the transformer winding, acquiring a temperature value and a humidity value of an insulating part of the transformer through the temperature and humidity sensor, and determining the moisture content of the insulating material of the transformer in each divided time period according to acquisition information; s20: determining the aging degree of the transformer insulating material in each divided time period; s30: predicting the residual use time of the transformer corresponding to each divided time period; s40: and (3) adjusting the residual use time of the transformer predicted in the step (S30) corresponding to each divided time period. The temperature value and the humidity value obtained by the method take the influence condition of air dust entering the transformer on the insulating material of the transformer and the influence condition of overload movement of the transformer on the insulating material of the transformer into consideration, so that the predicted life cycle of the transformer is ensured to be more accurate.
Description
Technical Field
The invention relates to the technical field of power transmission and distribution equipment management, in particular to a full life cycle management system and method of power transmission and distribution equipment based on big data analysis.
Background
Power transmission and distribution includes transmission, transformation and distribution. The power transmission is used for transmitting the electric energy generated by the power plant to a load center, so that the development and the utilization of the electric energy exceed the limitation of regions; the power transformer is used for converting the voltage between a low level and a high level according to actual requirements; the distribution is used for distributing electric energy to the user terminals, and the transformer is one of main equipment of power transmission and distribution and plays a very important role in the power grid system.
At present, the service life of the transformer is mainly influenced by the temperature and humidity of the environment where the transformer is located, the service life of the transformer is predicted according to the temperature value and the humidity value of the external environment where the transformer is located in the prior art, dust is easily accumulated in an air pipe of the transformer, and the insulating material of the transformer is easily adsorbed by the dust, so that certain errors exist between the temperature value and the humidity value of the position where the insulating material of the transformer is located and the temperature value and the humidity value of the external environment where the transformer is located, the accuracy of the prediction result is low, the timely maintenance treatment of the transformer cannot be realized by the existing system, the service life of the transformer is reduced, and the management effect of the system on the life cycle of the transformer is reduced.
Disclosure of Invention
The invention aims to provide a full life cycle management system and method for power transmission and distribution equipment based on big data analysis, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a full life cycle management method of power transmission and distribution equipment based on big data analysis comprises the following steps:
s10: embedding a temperature and humidity sensor in the transformer winding, acquiring a temperature value and a humidity value of an insulating part of the transformer through the temperature and humidity sensor, and determining the moisture content of the insulating material of the transformer in each divided time period according to acquisition information;
s20: determining the aging degree of the transformer insulation material in each divided time period according to the temperature value acquired in the step S10 and the water content of the transformer insulation material determined in each divided time period in the step S10;
s30: predicting the residual use time of the transformer corresponding to each divided time period according to the aging degree of the transformer insulating material in each divided time period determined in the step S20;
s40: and (3) determining maintenance management time of the transformer according to the aging degree of the transformer corresponding to each divided time period predicted in the step (S20), and adjusting the residual use time of the transformer corresponding to each divided time period predicted in the step (S30) based on the maintenance management result of the transformer.
Further, the step S10 includes:
s101: dividing the service time of the transformer insulating material according to the temperature value and the humidity value acquired by the temperature and humidity sensor, wherein the temperature value and the humidity value corresponding to each time point in the same dividing time period are equal, the average humidity value and the average temperature value corresponding to the adjacent dividing time period are not all equal, and the service time of the transformer insulating material = max the acquisition time of the temperature and humidity sensor-the initial running time of the transformer;
s102: according to the division result of the usage time of the transformer insulation material in S101, the water content of the transformer insulation material in each division period is determined, and a specific determination formula is as follows:
W 1 ＝{[δ+(E 1 *V*γ*w*(1+(T 1 -T′)*v))]/G}*100％；
W i ＝{[W i-1 +δ+(E i *V*γ*W*(1+(T i -T′)*v))]/G}*100％；
wherein i=2, …, n represents the number corresponding to each divided period, n represents the total number of divided periods, δ represents the initial water content of the transformer insulation material, E i The average humidity value corresponding to the divided time period with the number i of the transformer insulation is represented, V represents the volume of the insulation material, w represents the water absorption rate corresponding to the transformer insulation material reaching the degradation temperature, gamma represents the saturated water vapor content, T' represents the temperature value of the transformer insulation material starting to degrade, and T i The average temperature value corresponding to the divided time period of the transformer insulating material with the number i is represented, v represents the water absorption rate change value corresponding to the transformer insulating material when the degradation temperature rises by 1 ℃, and the degradation temperature=T i -T', G represents the dry weight of the insulating material of the transformer, W i Represents the water content, W, of the insulating material of the transformer corresponding to the divided time period with the number of i 1 Indicating that the insulating material of the transformer corresponds to the divided time period with the number of 1When E is the water content of i *V*γ*w*(1+(T i -T') v) < equilibrium moisture content, let E 1 *V*γ*w*(1+(T 1 -T′)*v)＝E i *V*γ*w*(1+(T i -T')xv), when E i *V*γ*w*(1+(T i -T') v) balancing the water content, let E 1 *V*γ*w*(1+(T 1 -T') v) =equilibrium moisture content.
Further, the specific method for determining the aging degree of the transformer insulating material in each divided time period in S20 is as follows: according to the moisture content of the transformer insulating material in each divided time period determined in S102, determining the aging degree of the transformer insulating material in each divided time period, wherein a specific determination formula is as follows:
wherein K is (Wi) Indicating that the moisture content of the insulating material of the transformer is W i The corresponding rate of decrease in the degree of polymerization per unit time,indicating the highest allowable operating temperature of the transformer insulation material when the transformer insulation material is at a temperature higher than +.>When the transformer insulation material starts to age, beta represents the corresponding rate of polymerization decrease of the transformer insulation material when the aging temperature is increased by 20 ℃ compared with K (Wi) Multiple value of>h i A time length value D representing a divided time period numbered i 0 Represents the initial polymerization degree of the insulating material of the transformer, S i Indicating the predicted degree of ageing of the transformer insulation in the divided time periods numbered i, when +.>When in use, let->When->When in use, let->
Further, the specific method for predicting the remaining usage time of the transformer in S30 is as follows: according to the aging degree of the transformer insulation material in each divided period determined in S102, D is utilized i ＝[1-(S 1 +S 2 +…+S i )]* Predicting the residual service life of the transformer by X, wherein X represents the standard service life of the transformer and D i Representing the corresponding remaining usage time of the predicted transformer at the time of the divided time period numbered i.
Further, the step S40 includes:
s401: the aging degree S of the transformer insulating material predicted in the step S20 is corresponding to each divided time period i Standard aging degree B of insulating material of transformer in corresponding divided time period i Comparing if S i ＞u*B i At this time, maintenance and management of the transformer are required, and the maintenance and management time of the transformer is S i And B is connected with i If S i ≤u*B i At the moment, maintenance management of the transformer is not needed, and u represents a relation coefficient;
s402: maintenance personnel perform maintenance management on the transformer according to the maintenance management time of the transformer determined in S401, the temperature and humidity sensor is used for acquiring the temperature value and the humidity value of the insulating part of the transformer again after the transformer is maintained, the acquired temperature value and the acquired humidity value belong to the divided time periods are determined, and the aging degree S of the insulating material of the transformer in the determined divided time periods is determined j Determining if S j ≤S i D 'then' j ＝[1-(S 1 +S 2 +…+S i-1 +S i+1 +…+S j )]*X，D′ j Representing the corresponding remaining use time of the re-predicted transformer in the divided time period numbered j, using D' j Pair D j Performing replacement adjustment if S j ＞S i D 'then' j ＝[1-(S 1 +S 2 +…+S j )]* X, without using D' j Pair D j And performing replacement adjustment, wherein n is larger than j and larger than i.
The system comprises a water content determining module, an aging degree determining module, a life cycle predicting module and a power transmission and distribution equipment management module;
the water content determining module is used for dividing the service time of the transformer insulating material according to the temperature value and the humidity value acquired by the temperature and humidity sensor at the transformer insulating position, determining the water content of the transformer insulating material in each divided time period based on the dividing result, and transmitting the determined water content and the acquired temperature value to the aging degree determining module;
the aging degree determining module is used for receiving the determined water content and the acquired temperature value transmitted by the water content determining module, determining the aging degree of the transformer insulating material in each divided time period based on the receiving information, and transmitting the determined aging degree to the life cycle predicting module and the power transmission and distribution equipment management module;
the life cycle prediction module is used for receiving the ageing degree transmitted by the ageing degree determination module, predicting the residual use time of the transformer corresponding to each divided time period based on the received information, and transmitting the prediction result to the power transmission and distribution equipment management module;
the power transmission and distribution equipment management module is used for receiving the prediction result transmitted by the life cycle prediction module, determining maintenance management time of the transformer based on the received information, and adjusting the residual use time of the transformer corresponding to each divided time period according to the maintenance management result of the transformer.
Further, the water content determining module comprises an information acquisition unit, a time dividing unit and a water content determining unit;
the information acquisition unit acquires a temperature value and a humidity value of an insulating part of the transformer through a temperature and humidity sensor buried in the transformer winding, and transmits the acquired temperature value and humidity value to the time dividing unit;
the time dividing unit acquires the temperature value and the humidity value transmitted by the information acquisition unit, divides the service time of the transformer insulating material based on the acquired information, and transmits the service time dividing result to the water content determining unit;
the water content determining unit receives the using time division result transmitted by the time division unit, constructs a determining formula based on the receiving information to determine the water content of the transformer insulating material in each division time period, and transmits the determined water content to the aging degree determining module.
Further, the aging degree determining module comprises a polymerization degree reduction rate obtaining unit and an aging degree determining unit;
the polymerization degree descending rate acquisition unit receives the determined water content transmitted by the water content determination unit, acquires the polymerization degree descending rate of the transformer insulating material under the corresponding water content through big data, and transmits the acquired polymerization degree descending rate to the aging degree determination unit;
the aging degree determining unit receives the polymerization degree descending rate transmitted by the polymerization degree descending rate acquiring unit, constructs a determining formula based on the received information to determine the aging degree of the transformer insulating material in each divided time period, and transmits the determining result to the life cycle predicting module and the power transmission and distribution equipment management module.
Further, the life cycle prediction module receives the determination result transmitted by the aging degree determination unit, predicts the remaining use time of the transformer based on the received information, and transmits the prediction result to the power transmission and distribution equipment management module.
Further, the power transmission and distribution equipment management module comprises a power transmission and distribution equipment management time determining unit and a life cycle adjusting unit;
the power transmission and distribution equipment management time determining unit receives the determining result transmitted by the aging degree determining unit, compares the received determining result with the standard aging degree of the transformer in the corresponding divided time period, determines the maintenance management time of the transformer according to the comparing result, and transmits the maintenance management result of the transformer in the corresponding maintenance management time to the life cycle adjusting unit;
the life cycle adjusting unit receives maintenance management results of the transformers transmitted by the power transmission and distribution equipment management time determining unit in corresponding maintenance management time and prediction results transmitted by the life cycle prediction module, and adjusts residual use time of the transformers in corresponding divided time periods based on the receiving information.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the temperature value and the humidity value of the transformer insulating material are obtained through the temperature and humidity sensor buried in the transformer winding, the obtained temperature value and humidity value take the influence condition of air dust entering the transformer to the transformer insulating material and the influence condition of overload motion of the transformer to the transformer insulating material into consideration, and the predicted life cycle of the transformer is ensured to be more accurate.
2. According to the invention, the aging degree of the transformer insulating material corresponding to each division time period is compared with the standard aging degree of the transformer insulating material corresponding to the division time period, the maintenance management time of the transformer is determined according to the comparison result, the transformer is ensured to be timely maintained and managed when the operation is abnormal, after the transformer is maintained and treated, the temperature value and the humidity value of the transformer insulation position are collected by using the temperature and humidity sensor, the aging degree of the transformer insulating material corresponding to the division time period is determined based on the collection result, the determined aging degree is compared with the aging degree of the transformer determined before maintenance, the residual service time of the transformer insulating material is selectively adjusted according to the comparison result, and the management effect of the system on the life cycle of the transformer is further improved.
3. According to the invention, the aging degree of the transformer in each divided time period is determined based on the water content of the transformer insulating material in each divided time period, and when the using time of the transformer insulating material is divided, the acquired change condition of the temperature value and the humidity value is taken as the dividing basis, so that the calculated amount of the water content and the aging degree is reduced, and the management efficiency of the life cycle of the transformer is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic workflow diagram of a full life cycle management system and method for a power transmission and distribution device based on big data analysis of the present invention;
fig. 2 is a schematic diagram of the working principle structure of the whole life cycle management system and method of the power transmission and distribution equipment based on big data analysis.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the present invention provides the following technical solutions: a full life cycle management method of power transmission and distribution equipment based on big data analysis comprises the following steps:
s10: embedding a temperature and humidity sensor in the transformer winding, acquiring a temperature value and a humidity value of an insulating part of the transformer through the temperature and humidity sensor, and determining the moisture content of the insulating material of the transformer in each divided time period according to acquisition information;
s10 comprises the following steps:
s101: dividing the service time of the transformer insulating material according to the temperature value and the humidity value acquired by the temperature and humidity sensor, wherein the temperature value and the humidity value corresponding to each time point in the same dividing time period are equal, the average humidity value and the average temperature value corresponding to the adjacent dividing time period are not all equal, and the service time of the transformer insulating material = max the acquisition time of the temperature and humidity sensor-the initial running time of the transformer;
s102: according to the division result of the usage time of the transformer insulation material in S101, the water content of the transformer insulation material in each division period is determined, and a specific determination formula is as follows:
W 1 ＝{[δ+(E 1 *V*γ*w*(1+(T 1 -T′)*v))]/G}*100％；
W i ＝{[W i-1 +δ+(E i *V*γ*w*(1+(T i -T′)*v))]/G}*100％；
wherein i=2, …, n represents the number corresponding to each divided period, n represents the total number of divided periods, δ represents the initial water content of the transformer insulation material, E i The average humidity value corresponding to the divided time period with the number i of the transformer insulation is represented, V represents the volume of the insulation material, w represents the water absorption rate corresponding to the transformer insulation material reaching the degradation temperature, gamma represents the saturated water vapor content, T' represents the temperature value of the transformer insulation material starting to degrade, and T i The average temperature value corresponding to the divided time period of the transformer insulating material with the number i is represented, v represents the water absorption rate change value corresponding to the transformer insulating material when the degradation temperature rises by 1 ℃, and the degradation temperature=T i -T', G represents the dry weight of the insulating material of the transformer, W i Represents the water content, W, of the insulating material of the transformer corresponding to the divided time period with the number of i 1 Represents the water content of the insulating material of the transformer corresponding to the divided time period with the number of 1, when E i *V*γ*w*(1+(T i -T') v) < equilibrium moisture content, E 1 *V*γ*w*(1+(T 1 -T′)*v＝E i *V*γ*w*(1+(T i -T')xv), when E i * V + (Ti-T') ± V) at equilibrium moisture E 1 *V*γ*w*(1+(T 1 -T′) V = equilibrium moisture content.
S20: determining the aging degree of the transformer insulation material in each divided time period according to the temperature value acquired in the step S10 and the water content of the transformer insulation material determined in each divided time period in the step S10;
the specific method for determining the aging degree of the transformer insulating material in each divided time period in S20 is as follows: according to the moisture content of the transformer insulating material in each divided time period determined in S102, determining the aging degree of the transformer insulating material in each divided time period, wherein a specific determination formula is as follows:
wherein K is (Wi) Indicating that the moisture content of the insulating material of the transformer is W i The corresponding rate of decrease in the degree of polymerization per unit time,indicating the highest allowable operating temperature of the transformer insulation material when the transformer insulation material is at a temperature higher than +.>When the transformer insulation material starts to age, beta represents the corresponding rate of polymerization decrease of the transformer insulation material when the aging temperature is increased by 20 ℃ compared with K (Wi) Multiple value of>h i A time length value D representing a divided time period numbered i 0 Represents the initial polymerization degree of the insulating material of the transformer, S i Indicating the predicted degree of ageing of the transformer insulation in the divided time periods numbered i, when +.>When in use, let->When->When in use, let->
S30: predicting the residual use time of the transformer corresponding to each divided time period according to the aging degree of the transformer insulating material in each divided time period determined in the step S20;
s30, the specific method for predicting the residual service life of the transformer is as follows: according to the aging degree of the transformer insulation material in each divided period determined in S102, D is utilized i ＝[1-(S 1 +S 2 +…+S i )]* Predicting the residual service life of the transformer by X, wherein X represents the standard service life of the transformer and D i Representing the corresponding remaining usage time of the predicted transformer at the time of the divided time period numbered i.
S40: and (3) determining maintenance management time of the transformer according to the aging degree of the transformer corresponding to each divided time period predicted in the step (S20), and adjusting the residual use time of the transformer corresponding to each divided time period predicted in the step (S30) based on the maintenance management result of the transformer.
S40 includes:
s401: the aging degree S of the transformer insulating material predicted in the step S20 is corresponding to each divided time period i Standard aging degree B of insulating material of transformer in corresponding divided time period i Comparing if S i ＞u*B i At this time, maintenance and management of the transformer are required, and the maintenance and management time of the transformer is S i And B is connected with i If S i ≤u*B i At the moment, maintenance management of the transformer is not needed, and u represents a relation coefficient;
s402: the maintenance staff performs maintenance management on the transformer according to the maintenance management time of the transformer determined in S401, and the transformer is subjected to maintenance treatmentThen, the temperature value and the humidity value of the insulating part of the transformer are acquired again by utilizing the temperature and humidity sensor, the divided time periods to which the acquired temperature value and the acquired humidity value belong are determined, and the aging degree S of the insulating material of the transformer in the determined divided time periods is determined j Determining if S j ≤S i D 'then' j ＝[1-(S 1 +S 2 +…+S i-1 +S i+1 +…+S j )]*X，D′ j Representing the corresponding remaining use time of the re-predicted transformer in the divided time period numbered j, using D' j Pair D j Performing replacement adjustment if S j ＞S i D 'then' j ＝[1-(S 1 +S 2 +…+S j )]* X, without using D' j Pair D j And performing replacement adjustment, wherein n is larger than j and larger than i.
The system comprises a water content determining module, an aging degree determining module, a life cycle predicting module and a power transmission and distribution equipment management module;
the water content determining module is used for dividing the service time of the transformer insulating material according to the temperature value and the humidity value acquired by the temperature and humidity sensor at the transformer insulating position, determining the water content of the transformer insulating material in each dividing time period based on the dividing result, and transmitting the determined water content and the acquired temperature value to the aging degree determining module;
the water content determining module comprises an information acquisition unit, a time dividing unit and a water content determining unit;
the information acquisition unit acquires a temperature value and a humidity value of an insulating part of the transformer through a temperature and humidity sensor buried in the transformer winding, and transmits the acquired temperature value and humidity value to the time dividing unit;
the time dividing unit is used for acquiring the temperature value and the humidity value transmitted by the information acquisition unit, dividing the service time of the transformer insulating material based on the acquired information, and transmitting the service time dividing result to the water content determining unit;
the water content determining unit receives the using time division result transmitted by the time division unit, constructs a determining formula based on the receiving information to determine the water content of the transformer insulating material in each division time period, and transmits the determined water content to the aging degree determining module.
The aging degree determining module is used for receiving the determined water content and the acquired temperature value transmitted by the water content determining module, determining the aging degree of the transformer insulating material in each divided time period based on the receiving information, and transmitting the determined aging degree to the life cycle predicting module and the power transmission and distribution equipment management module;
the aging degree determining module comprises a polymerization degree descending speed obtaining unit and an aging degree determining unit;
the polymerization degree descending rate acquisition unit receives the determined water content transmitted by the water content determination unit, acquires the polymerization degree descending rate of the transformer insulating material under the corresponding water content through big data, and transmits the acquired polymerization degree descending rate to the aging degree determination unit;
the aging degree determining unit receives the polymerization degree descending rate transmitted by the polymerization degree descending rate acquiring unit, constructs a determining formula based on the received information to determine the aging degree of the transformer insulating material in each divided time period, and transmits the determining result to the life cycle predicting module and the power transmission and distribution equipment management module.
The life cycle prediction module is used for receiving the ageing degree transmitted by the ageing degree determination module, predicting the residual use time of the transformer corresponding to each divided time period based on the receiving information, and transmitting the prediction result to the power transmission and distribution equipment management module;
the life cycle prediction module receives the determination result transmitted by the aging degree determination unit, predicts the residual service time of the transformer based on the received information, and transmits the prediction result to the power transmission and distribution equipment management module.
The power transmission and distribution equipment management module is used for receiving the prediction result transmitted by the life cycle prediction module, determining maintenance management time of the transformer based on the received information, and adjusting the residual use time of the transformer corresponding to each divided time period according to the maintenance management result of the transformer.
The power transmission and distribution equipment management module comprises a power transmission and distribution equipment management time determining unit and a life cycle adjusting unit;
the power transmission and distribution equipment management time determining unit receives the determining result transmitted by the aging degree determining unit, compares the received determining result with the standard aging degree of the transformer in the corresponding divided time period, determines the maintenance management time of the transformer according to the comparing result, and transmits the maintenance management result of the transformer in the corresponding maintenance management time to the life cycle adjusting unit;
the life cycle adjusting unit receives maintenance management results of the transformers transmitted by the power transmission and distribution equipment management time determining unit in corresponding maintenance management time and prediction results transmitted by the life cycle prediction module, and adjusts residual use time of the transformers in corresponding divided time periods based on the receiving information.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The full life cycle management method of the power transmission and distribution equipment based on big data analysis is characterized by comprising the following steps of: the method comprises the following steps:
s10: embedding a temperature and humidity sensor in the transformer winding, acquiring a temperature value and a humidity value of an insulating part of the transformer through the temperature and humidity sensor, and determining the moisture content of the insulating material of the transformer in each divided time period according to acquisition information;
the S10 includes:
s101: dividing the service time of the transformer insulating material according to the temperature value and the humidity value acquired by the temperature and humidity sensor, wherein the temperature value and the humidity value corresponding to each time point in the same dividing time period are equal, and the average humidity value and the average temperature value corresponding to the adjacent dividing time periods are not all equal;
s102: according to the division result of the usage time of the transformer insulation material in S101, the water content of the transformer insulation material in each division period is determined, and a specific determination formula is as follows:
W 1 ＝{[δ+(E 1 *V*γ*w*(1+(T 1 -T′)*v))]/G}*100％；
W i ＝{[W i-1 +δ+(E i *V*γ*w*(1+(T i -T′)*v))]/G}*100％；
wherein i=2, …, n represents the number corresponding to each divided period, n represents the total number of divided periods, δ represents the initial water content of the transformer insulation material, E i The average humidity value corresponding to the divided time period with the number i of the transformer insulation is represented, V represents the volume of the insulation material, w represents the water absorption rate corresponding to the transformer insulation material reaching the degradation temperature, gamma represents the saturated water vapor content, T' represents the temperature value of the transformer insulation material starting to degrade, and T i Represents the average temperature value corresponding to the divided time period of the insulating material of the transformer with the number i, and v represents the corresponding water absorption rate change of the insulating material of the transformer when the degradation temperature rises by 1 DEG CChemical value, degradation temperature=t i -T', G represents the dry weight of the insulating material of the transformer, W i Represents the water content, W, of the insulating material of the transformer corresponding to the divided time period with the number of i 1 The water content of the insulating material of the transformer corresponding to the dividing time period with the number of 1 is represented;
s20: determining the aging degree of the transformer insulation material in each divided time period according to the temperature value acquired in the step S10 and the water content of the transformer insulation material determined in each divided time period in the step S10;
s30: predicting the residual use time of the transformer corresponding to each divided time period according to the aging degree of the transformer insulating material in each divided time period determined in the step S20;
s40: and (3) determining maintenance management time of the transformer according to the aging degree of the transformer corresponding to each divided time period predicted in the step (S20), and adjusting the residual use time of the transformer corresponding to each divided time period predicted in the step (S30) based on the maintenance management result of the transformer.
2. The full life cycle management method of power transmission and distribution equipment based on big data analysis according to claim 1, wherein the method comprises the following steps: the specific method for determining the aging degree of the transformer insulating material in each divided time period in the S20 is as follows: according to the moisture content of the transformer insulating material in each divided time period determined in S102, determining the aging degree of the transformer insulating material in each divided time period, wherein a specific determination formula is as follows:
wherein K is (Wi) Indicating that the moisture content of the insulating material of the transformer is W i The corresponding rate of decrease in the degree of polymerization per unit time,represents the highest allowable operating temperature of the insulating material of the transformer, and beta representsThe corresponding polymerization degree reduction rate of the transformer insulating material at the aging temperature increased by 20 ℃ is compared with K (Wi) Multiple value of (h) i A time length value D representing a divided time period numbered i 0 Represents the initial polymerization degree of the insulating material of the transformer, S i Indicating the predicted degree of aging of the transformer insulation material over the divided time period numbered i.
3. The full life cycle management method of power transmission and distribution equipment based on big data analysis according to claim 2, wherein: the specific method for predicting the remaining usage time of the transformer in S30 is as follows: according to the aging degree of the transformer insulation material in each divided period determined in S102, D is utilized i ＝[1-(S 1 +S 2 +…+S i )]* Predicting the residual service life of the transformer by X, wherein X represents the standard service life of the transformer and D i Representing the corresponding remaining usage time of the predicted transformer at the time of the divided time period numbered i.
4. The full life cycle management method of power transmission and distribution equipment based on big data analysis according to claim 3, wherein: the S40 includes:
s401: the aging degree S of the transformer insulating material predicted in the step S20 is corresponding to each divided time period i Standard aging degree B of insulating material of transformer in corresponding divided time period i Comparing if S i ＞u*B i At this time, maintenance and management of the transformer are required, and the maintenance and management time of the transformer is S i And B is connected with i If S i ≤u*B i At the moment, maintenance management of the transformer is not needed, and u represents a relation coefficient;
s402: maintenance personnel perform maintenance management on the transformer according to the maintenance management time of the transformer determined in S401, the temperature and humidity sensor is used for acquiring the temperature value and the humidity value of the insulating part of the transformer again after the transformer is maintained, and the acquired temperature value and humidity value belong to divided time periodsDetermining the aging degree S of the insulating material of the transformer in the determined dividing time period j Determining if S j ≤S i D 'then' j ＝[1-(S 1 +S 2 +…+S i-1 +S i+1 +…+S j )]*X，D′ j Representing the corresponding remaining use time of the re-predicted transformer in the divided time period numbered j, using D' j Pair D j Performing replacement adjustment if S j ＞S i D 'then' j ＝[1-(S 1 +S 2 +…+S j )]* X, without using D' j Pair D j And performing replacement adjustment, wherein n is larger than j and larger than i.
5. A full life cycle management system of power transmission and distribution equipment based on big data analysis, applied to the full life cycle management method of power transmission and distribution equipment based on big data analysis as claimed in any one of claims 1 to 4, characterized in that: the system comprises a water content determining module, an aging degree determining module, a life cycle predicting module and a power transmission and distribution equipment management module;
the water content determining module is used for dividing the service time of the transformer insulating material according to the temperature value and the humidity value acquired by the temperature and humidity sensor at the transformer insulating position, determining the water content of the transformer insulating material in each divided time period based on the dividing result, and transmitting the determined water content and the acquired temperature value to the aging degree determining module;
the aging degree determining module is used for receiving the determined water content and the acquired temperature value transmitted by the water content determining module, determining the aging degree of the transformer insulating material in each divided time period based on the receiving information, and transmitting the determined aging degree to the life cycle predicting module and the power transmission and distribution equipment management module;
the life cycle prediction module is used for receiving the ageing degree transmitted by the ageing degree determination module, predicting the residual use time of the transformer corresponding to each divided time period based on the received information, and transmitting the prediction result to the power transmission and distribution equipment management module;
the power transmission and distribution equipment management module is used for receiving the prediction result transmitted by the life cycle prediction module, determining maintenance management time of the transformer based on the received information, and adjusting the residual use time of the transformer corresponding to each divided time period according to the maintenance management result of the transformer.
6. The full life cycle management system of power transmission and distribution equipment based on big data analysis according to claim 5, wherein: the water content determining module comprises an information acquisition unit, a time dividing unit and a water content determining unit;
the information acquisition unit acquires a temperature value and a humidity value of an insulating part of the transformer through a temperature and humidity sensor buried in the transformer winding, and transmits the acquired temperature value and humidity value to the time dividing unit;
the time dividing unit acquires the temperature value and the humidity value transmitted by the information acquisition unit, divides the service time of the transformer insulating material based on the acquired information, and transmits the service time dividing result to the water content determining unit;
the water content determining unit receives the using time division result transmitted by the time division unit, constructs a determining formula based on the receiving information to determine the water content of the transformer insulating material in each division time period, and transmits the determined water content to the aging degree determining module.
7. The full life cycle management system of power transmission and distribution equipment based on big data analysis of claim 6, wherein: the aging degree determining module comprises a polymerization degree descending speed obtaining unit and an aging degree determining unit;
the polymerization degree descending rate acquisition unit receives the determined water content transmitted by the water content determination unit, acquires the polymerization degree descending rate of the transformer insulating material under the corresponding water content through big data, and transmits the acquired polymerization degree descending rate to the aging degree determination unit;
the aging degree determining unit receives the polymerization degree descending rate transmitted by the polymerization degree descending rate acquiring unit, constructs a determining formula based on the received information to determine the aging degree of the transformer insulating material in each divided time period, and transmits the determining result to the life cycle predicting module and the power transmission and distribution equipment management module.
8. The full life cycle management system of power transmission and distribution equipment based on big data analysis of claim 7, wherein: the life cycle prediction module receives the determination result transmitted by the aging degree determination unit, predicts the residual service time of the transformer based on the received information, and transmits the prediction result to the power transmission and distribution equipment management module.
9. The full life cycle management system of power transmission and distribution equipment based on big data analysis of claim 8, wherein: the power transmission and distribution equipment management module comprises a power transmission and distribution equipment management time determining unit and a life cycle adjusting unit;
the power transmission and distribution equipment management time determining unit receives the determining result transmitted by the aging degree determining unit, compares the received determining result with the standard aging degree of the transformer in the corresponding divided time period, determines the maintenance management time of the transformer according to the comparing result, and transmits the maintenance management result of the transformer in the corresponding maintenance management time to the life cycle adjusting unit;
the life cycle adjusting unit receives maintenance management results of the transformers transmitted by the power transmission and distribution equipment management time determining unit in corresponding maintenance management time and prediction results transmitted by the life cycle prediction module, and adjusts residual use time of the transformers in corresponding divided time periods based on the receiving information.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114460445A (en) * | 2022-02-17 | 2022-05-10 | 重庆大学 | Transformer aging unavailability evaluation method considering aging threshold and service life |
| CN115050460A (en) * | 2022-08-17 | 2022-09-13 | 深圳市三维医疗设备有限公司 | Medical equipment full life cycle supervision system and method based on big data |
| CN115420336A (en) * | 2022-09-05 | 2022-12-02 | 北京日昌电气有限公司 | 800V alternating current-direct current collection flow box safe operation management system based on data analysis |
| CN115639274A (en) * | 2022-10-24 | 2023-01-24 | 中国电建集团成都勘测设计研究院有限公司 | Transformer conservator capsule aging evaluation system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114460445A (en) * | 2022-02-17 | 2022-05-10 | 重庆大学 | Transformer aging unavailability evaluation method considering aging threshold and service life |
| CN115050460A (en) * | 2022-08-17 | 2022-09-13 | 深圳市三维医疗设备有限公司 | Medical equipment full life cycle supervision system and method based on big data |
| CN115420336A (en) * | 2022-09-05 | 2022-12-02 | 北京日昌电气有限公司 | 800V alternating current-direct current collection flow box safe operation management system based on data analysis |
| CN115639274A (en) * | 2022-10-24 | 2023-01-24 | 中国电建集团成都勘测设计研究院有限公司 | Transformer conservator capsule aging evaluation system and method |
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