A method, device and system for identifying a risk of a distribution fault

Abstract

The application discloses a kind of distribution transformer fault risk identification method, device and system, this method includes steps: S1, obtains distribution transformer low voltage outlet three-phase voltage, current, three-phase active power, reactive power, total active power, total reactive power, distribution transformer high voltage side three-phase current, distribution transformer oil temperature;Wherein subscript k indicates the kth acquisition section;S2, according to the data obtained in step S1, distribution transformer load factor, distribution transformer oil temperature temperature rise rate, distribution transformer low voltage side-high voltage side current ratio, distribution transformer low voltage side current variation rate, distribution transformer high voltage side current variation rate are calculated;S3, according to the data obtained in step S1 and the data calculated in step S2, the operating state of distribution transformer is analyzed, and corresponding disposal is carried out according to the analysis result.The application has the advantages of quickly removing the internal fault of distribution transformer, reducing the risk of distribution transformer heavy overload operation and the like.

Description

Technical Field

[0001] The present invention mainly relates to the field of low-voltage power distribution technology, and specifically to a distribution transformer fault risk identification method, device and system. Background Art

[0002] The distribution substations are numerous and widespread, the operating environment is complex and diverse, the power load is highly random and uncertain, and factors such as long-term heavy overload operation and aging of distribution transformers will lead to damage to internal insulation and cause failures, affecting the safe and reliable operation of distribution transformers. Summary of the Invention

[0003] The technical problem to be solved by the present invention is: In response to the technical problems existing in the prior art, the present invention provides a distribution transformer fault risk identification method, device and system that can quickly cut off internal faults of the distribution transformer and reduce the risk of heavy overload operation of the distribution transformer.

[0004] In order to solve the above technical problems, the technical solution proposed by the present invention is:

[0005] A method for identifying distribution transformer fault risks, comprising the steps of:

[0006] S1. Obtain the three-phase voltage U at the low-voltage outlet of the distribution transformer A 、U B 、U C , current I Ak l , I Bk l , I Ck l , three-phase active power P Ak 、P Bk 、P Ck , reactive power Q Ak , Q Bk , Q Ck , total active power P k , total reactive power Q k , the three-phase current I on the high-voltage side of the distribution transformer Ak h , I Bk h , I Ck h , oil temperature T oil-k ; The subscript k represents the kth acquisition section;

[0007] S2. Calculate the distribution transformer load factor η based on the data obtained in step S1. k , the temperature rise rate of the transformer oil temperature r oil-k , distribution transformer low voltage side - high voltage side current ratio K IAk , K Ibk , K ICk , the current change rate of the low voltage side of the distribution transformer rIA-k l 、r IB-k l 、r IC-k l , the current change rate of the high voltage side of the distribution transformer r IA-k h 、r IB-k h 、r IC-k h ;

[0008] S3. Analyze the operating status of the distribution transformer based on the data acquired in step S1 and the data calculated in step S2, and take corresponding measures based on the analysis results.

[0009] Preferably, in step S2, based on the rated capacity S of the distribution transformer N , total active power P k and total reactive power Q k Get the load factor η of the station area k and its changing trend, and in step S03 based on the load rate η k and its changing trend to determine whether the distribution transformer is severely overloaded; among which:

[0010]

[0011] When m%≤η k <100%, the distribution transformer is in overload state and reports the distribution transformer overload warning; when η k When ≥100%, the distribution transformer is in overload state and a distribution transformer overload warning is reported.

[0012] Preferably, in step S3, according to the oil temperature T oil-k和 and the rate of change of the transformer oil temperature r oil-k To judge the distribution transformer oil temperature fault;

[0013] When T oil-k ≥T w When the transformer oil temperature is too high, the warning is issued. w The early warning threshold value of the distribution transformer oil temperature;

[0014] When r oil-k ≥R oil w When the oil temperature of the distribution transformer rises too fast, the warning is issued. oil w It is the warning threshold for the transformer oil temperature rising too fast.

[0015] Preferably, in step S3, when the load rate of the distribution transformer in the area is η k When <100%, make the following judgment:

[0016] When T oil-k<T w , r oil-k <R oil w , 1.05K≥K IAk , K IBk , K ICk When ≥0.95K is satisfied, the distribution transformer is judged to be operating normally;

[0017] When T oil-k <T w andr oil-k ≥R oil w , and K IAk , K IBk , K ICk If at least one of the three is less than 0.95K, it is judged that the distribution transformer may be short-circuited due to internal insulation damage;

[0018] When T oil-k ≥T w andr oil-k ≥R oil w , and K IAk , K IBk , K ICk At least one of the three is less than 0.95K, r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h When at least one of the three is less than 0.95K, it is determined that a short circuit fault occurs inside the distribution transformer.

[0019] Preferably, in step S3, when the load rate of the distribution transformer in the area is η k When ≥100%, make the following judgment:

[0020] When 1.05K≥K IAk , K IBk , K ICk ≥0.95K, 1.05K≥r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-kh ≥0.95K, T oil-k <Tw,r oil-k <R oil w When , it is determined that the distribution transformer is overloaded.

[0021] Preferably, in step S3, when the load rate of the distribution transformer in the area is η k When ≥100%, make the following judgment:

[0022] When 1.05K≥K IAk , K IBk , K ICk ≥0.95K, 1.05K≥r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h ≥0.95K, T oil-k ≥T w , r oil-k ≥R oil w When the load is too high, it is judged that the distribution transformer is overloaded and over-temperature.

[0023] Preferably, in step S3, when the load rate of the distribution transformer in the area is η k When ≥100%, make the following judgment:

[0024] When 1.05K≥K IAk , K IBk , K ICk ≥0.95K, r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h When at least one of the three is less than 0.95K, it is judged that the distribution transformer may have internal insulation damage due to overload operation, and the intelligent fusion terminal in the substation sends the distribution transformer overload and internal insulation damage warning information to the main station; and according to the distribution transformer oil temperature T oil-k and the temperature rise rate r oil-k ; Determine whether the distribution transformer has oil temperature warning or oil temperature rise too fast warning information.

[0025] Preferably, in step S3, when the load rate of the distribution transformer in the area is η k When ≥100%, make the following judgment:

[0026] When r oil-k ≥R oil w , and K IAk , K IBk , K ICk When at least one of the three is less than 0.95K, it is determined that a short circuit fault occurs inside the distribution transformer, and the intelligent fusion terminal in the substation controls the intelligent drop fuse to disconnect.

[0027] The present invention also discloses a distribution transformer fault risk identification device, including a control module, a voltage detection module, a current detection module and an oil temperature detection module. The voltage detection module is used to detect the three-phase voltage at the low-voltage outlet of the distribution transformer, the current detection module is used to detect the three-phase current at the low-voltage outlet of the distribution transformer and the three-phase current on the high-voltage side of the distribution transformer, and the oil temperature detection module is used to detect the oil temperature of the distribution transformer. The control module is respectively connected to the voltage detection module, the current detection module and the oil temperature detection module, and is used to analyze the operating status of the distribution transformer according to the detection data of each module.

[0028] The present invention further discloses a distribution transformer fault risk identification system, comprising a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is run by the processor, the steps of the above method are executed.

[0029] Compared with the prior art, the advantages of the present invention are:

[0030] The present invention uses edge terminals and intelligent terminal devices such as distribution substation intelligent fusion terminals, intelligent drop-out fuses, low-voltage intelligent circuit breakers, distribution transformer oil temperature sensors, etc. to carry out online real-time monitoring and calculation of the currents on both sides of the high and low voltage of the distribution transformer, the load rate, and the oil temperature of the distribution transformer. Based on the real-time calculation results of the currents on both sides of the high and low voltage of the distribution transformer, the oil temperature of the distribution transformer and the load rate, the operating status and fault conditions of the distribution transformer are identified, and the opening and closing of the intelligent fuses are controlled according to the identification results to cut off internal faults of the distribution transformer, reduce the operating risks of the distribution transformer, and ensure the safe and reliable operation of the distribution transformer. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a block diagram of the device of the present invention in an embodiment.

[0032] Figure 2 The risk identification method of the present invention is a flowchart in an embodiment. DETAILED DESCRIPTION

[0033] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0034] like Figure 2 As shown, the distribution transformer fault risk identification method according to an embodiment of the present invention includes the following steps:

[0035] S1. Obtain the three-phase voltage U at the low-voltage outlet of the distribution transformer A 、U B 、U C , current I Ak l , I Bk l , I Ck l , three-phase active power P Ak 、P Bk 、P Ck , reactive power Q Ak , Q Bk , Q Ck , total active power P k , total reactive power Q k , the three-phase current I on the high-voltage side of the distribution transformer Ak h , I Bk h , I Ck h , oil temperature T oil-k ; The subscript k represents the kth acquisition section;

[0036] S2. Calculate the distribution transformer load factor η based on the data obtained in step S1. k， Transformer oil temperature rise rate r oil-k , distribution transformer low voltage side - high voltage side current ratio K IAk , K Ibk , K ICk , the current change rate of the low voltage side of the distribution transformer r IA-k l 、r IB-k l 、r IC-k l , the current change rate of the high voltage side of the distribution transformer r IA-k h 、r IB-k h 、r IC-k h ;

[0037] S3. Analyze the operating status of the distribution transformer based on the data acquired in step S1 and the data calculated in step S2, and take corresponding measures based on the analysis results.

[0038] Aiming at the current distribution transformer internal insulation damage causing short-circuit faults that lead to distribution transformer damage, as well as the risk of distribution transformer heavy overload operation, the present invention utilizes low-voltage distribution Internet of Things technology to monitor the currents on both the high and low sides of the distribution transformer, the oil temperature and load rate of the distribution transformer in real time through the substation edge terminal and intelligent terminal equipment. The distribution transformer fault situation and operating status are identified through edge computing. According to the analysis and calculation results, the opening and closing of the intelligent fuse on the high-voltage side of the distribution transformer and the low-voltage intelligent circuit breaker are controlled to quickly cut off the internal fault of the distribution transformer and reduce the risk of distribution transformer heavy overload operation.

[0039] In a specific embodiment, in step S2, the load factor η of the distribution area is calculated in real time based on the rated capacity of the distribution transformer and the total power of the distribution area monitored in real time. k and its changing trend, and judge whether the distribution transformer is severely overloaded:

[0040]

[0041] When 80%≤η k When the load is less than 100%, the distribution transformer is in overload state, and the intelligent fusion terminal in the substation reports the distribution transformer overload warning;

[0042] When η k When the load is ≥100%, the distribution transformer is in overload state, and the intelligent fusion terminal in the substation reports the distribution transformer overload warning;

[0043] In addition, monitor and calculate the current on the low voltage side / high voltage side of the distribution transformer, and the changing trend of the high and low voltage sides;

[0044] Low voltage side current / high voltage side current comparison:

[0045] K IAk =I Ak l / I Ak h ;

[0046] K IBk =I Bk l / I Bk h ;

[0047] K ICk =I Ck l / I Ck h ;

[0048] Under normal operation, k IAk =k IBk =k ICk = Transformer ratio K (e.g. K for a 10kV / 0.4kV distribution transformer is 25).

[0049] Distribution transformer high voltage side current change rate rIA-k h 、r IB-k h 、r IC-k h , respectively represent the change rate of the three-phase current of ABC on the high-voltage side of the distribution transformer, as shown below:

[0050] r IA-k h =(I Ak h -I A(k-1) h ) / Δt;

[0051] r IB-k h =(I Bk h -I B(k-1) h ) / Δt;

[0052] r IC-k h =(I Ck h -I C(k-1) h ) / Δt;

[0053] Distribution transformer low voltage side current change rate r IA-k l 、r IB-k l 、r IC-k l They represent the change rates of the three-phase currents of ABC on the low-voltage side of the distribution transformer, as shown below:

[0054] r IA-k l =(I Ak l -I A(k-1) l ) / Δt;

[0055] r IB-k l =(I Bk l -I B(k-1) l ) / Δt;

[0056] r IC-k l =(I Ck l -I C(k-1) l ) / Δt;

[0057] In the above formula, the subscripts k and k-1 represent the kth and k-1th time sections, respectively, and Δt represents the interval between two consecutive acquisitions of time sections.

[0058] The oil temperature of the distribution transformer T oil-k Is it too high? Calculate the rate of change of the transformer oil temperature r oil-k , r oil-k =(T oil-k -T oil-(k-1) ) / Δt, where Δt represents the time interval between two consecutive acquisitions.

[0059] When T oil-k ≥T w When the transformer oil temperature is too high, the warning is issued. w It is the early warning threshold of the distribution transformer oil temperature.

[0060] When r oil-k ≥R oil w When the oil temperature of the distribution transformer rises too fast, the warning is issued. oil w It is the warning threshold for the transformer oil temperature rising too fast.

[0061] In a specific embodiment, in step S3, the intelligent fusion terminal of the substation area performs a comprehensive analysis of the substation area load rate, the comparison and change trend of the high and low voltage currents on the distribution transformer, the distribution transformer oil temperature and change rate, etc., and carries out distribution transformer fault identification and operation status analysis. It also controls the high-voltage side intelligent fuse and the low-voltage intelligent circuit breaker to eliminate the distribution transformer fault and reduce the distribution transformer operation risk. The details are as follows:

[0062] a. When the load rate of the distribution transformer in the substation is η k When the value is less than 100%, the following judgment and disposal are made based on the comparison of the current on both sides of the distribution transformer, the current change trend on both sides of the distribution transformer, the oil temperature of the distribution transformer and the oil temperature rise rate data:

[0063] (1)T oil-k <T w , r oil-k <R oil w , 1.05K≥K IAk , K IBk , K ICk When the voltage is ≥0.95K, the distribution transformer is judged to be operating normally and without faults;

[0064] (2)T oil-k <T w andr oil-k ≥R oil w , and K IAk , K IBk , K ICkIf at least one of the three is less than 0.95K, it is judged that the distribution transformer may be short-circuited due to internal insulation damage, and personnel are notified to conduct on-site measurements and treatment;

[0065] (3)T oil-k ≥T w andr oil-k ≥R oil w , and K IAk , K IBk , K ICk At least one of the three is less than 0.95K, r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h When at least one of the three is less than 0.95K, it is determined that a short circuit fault has occurred inside the distribution transformer. The intelligent fusion terminal in the substation controls the intelligent drop fuse and the low-voltage intelligent circuit breaker to disconnect, and notifies personnel to carry out on-site processing.

[0066] b. When the load rate of the distribution transformer in the substation is η k When the value is ≥100%, make the following judgments and take appropriate measures based on the current comparison between the high and low voltage sides of the distribution transformer and the oil temperature or oil temperature rise rate data of the distribution transformer:

[0067] (1)1.05K≥K IAk , K IBk , K ICk ≥0.95K, 1.05K≥r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h ≥0.95K, T oil-k <T w , r oil-k <R oil w When the distribution transformer is judged to be overloaded, the intelligent fusion terminal in the substation sends the distribution transformer overload warning information to the main station.

[0068] (2)1.05K≥K IAk , K IBk , K ICk≥0.95K, 1.05K≥r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h ≥0.95K, T oil-k ≥T w , r oil-k ≥R oil w When the distribution transformer is judged to be overloaded and over-temperature, the intelligent fusion terminal in the substation sends a high-risk warning information of overload and over-temperature operation of the distribution transformer to the main station, and carries out the rotation stop control of the low-voltage intelligent circuit breaker.

[0069] (3)1.05K≥K IAk , K IBk , K ICk ≥0.95K, r IA-k l / r IA-k h 、r IB-k l / r IB-k h 、r IC-k l / r IC-k h When at least one of the three is less than 0.95K, it is judged that the distribution transformer may have internal insulation damage due to overload operation. The intelligent fusion terminal in the substation sends the distribution transformer overload and internal insulation damage warning information to the main station, and according to the distribution transformer oil temperature T oil-k and the temperature rise rate r oil-k Determine whether the distribution transformer has an oil temperature warning or an oil temperature rise warning message.

[0070] (4)r oil-k ≥R oil w , and K IAk , K IBk , K ICk When at least one of the three is less than 0.95K, it is determined that a short circuit fault has occurred inside the distribution transformer. The intelligent fusion terminal in the substation controls the intelligent drop fuse to disconnect and notifies personnel to carry out on-site processing.

[0071] like Figure 1As shown, an embodiment of the present invention also discloses a distribution transformer fault risk identification device, including a control module (such as a distribution station intelligent fusion terminal), a voltage detection module, a current detection module, and an oil temperature detection module (such as a distribution transformer oil temperature sensor). The voltage detection module is used to detect the three-phase voltage at the distribution transformer low-voltage outlet, the current detection module is used to detect the three-phase current at the distribution transformer low-voltage outlet (such as through low-voltage intelligent circuit breaker detection) and the three-phase current on the high-voltage side of the distribution transformer (such as the three-phase current on the high-voltage side of the distribution transformer is detected by the high-voltage side intelligent fuse), and the oil temperature detection module is used to detect the oil temperature of the distribution transformer. The control module is connected to the voltage detection module, the current detection module, and the oil temperature detection module respectively, and is used to analyze the operating status of the distribution transformer based on the detection data of each module. The distribution station intelligent fusion terminal collects data from the intelligent fuse on the high-voltage side of the distribution transformer in real time through RS485, and collects data from the distribution transformer oil temperature sensor in real time through RS485 or PT100. The distribution station intelligent fusion terminal collects and calculates the distribution transformer load rate, the current on both the high and low voltage sides, and the distribution transformer oil temperature in real time, providing edge computing data for identifying distribution transformer fault conditions and operating conditions.

[0072] The present invention uses edge terminals and intelligent terminal devices such as distribution substation intelligent fusion terminals, intelligent drop-out fuses, low-voltage intelligent circuit breakers, distribution transformer oil temperature sensors, etc. to carry out online real-time monitoring and calculation of the currents on both sides of the high and low voltage of the distribution transformer, the load rate, and the oil temperature of the distribution transformer. Based on the real-time calculation results of the currents on both sides of the high and low voltage of the distribution transformer, the oil temperature of the distribution transformer and the load rate, the operating status and fault conditions of the distribution transformer are identified, and the opening and closing of the intelligent fuses are controlled according to the identification results to cut off internal faults of the distribution transformer, reduce the operating risks of the distribution transformer, and ensure the safe and reliable operation of the distribution transformer.

[0073] As shown in this disclosure and the claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not specifically refer to the singular, but also include the plural. The words "first", "second" and similar words used in this disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. Similarly, words such as "include" or "comprise" mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "connected" are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0074] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions based on the principles of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A distribution transformer fault risk identification method, characterized in that: Including steps: S1. Obtain the three-phase voltage of the distribution transformer low-voltage outlet U A 、 U B 、 U C , current I Ak l 、 I Bk l 、 I Ck l , three-phase active power P Ak 、 P Bk 、 P Ck , reactive power Q Ak 、 Q Bk 、 Q Ck , total active power P k , total reactive power Q k , three-phase current on the high-voltage side of the distribution transformer I Ak h 、 I Bk h 、 I Ck h , oil temperature T oil-k ; where subscript k Indicates the k Secondary collection section; S2. Calculate the distribution transformer load rate based on the data obtained in step S1 η k， Distribution transformer oil temperature rise rate r oil-k , distribution transformer low voltage side - high voltage side current ratio K IAk 、 K Ibk 、 K ICk , the current change rate of the low voltage side of the distribution transformer r IA-k l 、 r IB-k l 、 r IC-k l , the current change rate of the high voltage side of the distribution transformer r IA-k h 、 r IB-k h 、 r IC-k h ; S3. Analyze the operating status of the distribution transformer based on the data acquired in step S1 and the data calculated in step S2, and take corresponding measures based on the analysis results; In step S2, based on the rated capacity S of the distribution transformer N , total active power P k and total reactive power Q k Get the load factor of the area η k and its changing trend, and in step S03 based on the load rate of the area η k and its changing trend to determine whether the distribution transformer is severely overloaded; in: when m%≤η k <100% When the distribution transformer is in overload state, the distribution transformer overload warning is reported; when η k ≥100% When the distribution transformer is in overload state, a distribution transformer overload warning is reported; In step S3, according to the oil temperature T oil-k and the rate of change of the transformer oil temperature r oil-k To judge the distribution transformer oil temperature fault; when T oil-k ≥T w When the transformer oil temperature is too high, the warning T w The early warning threshold value of the distribution transformer oil temperature; when r oil-k ≥R oil w When the oil temperature of the distribution transformer rises too fast, the warning R oil w The early warning threshold for the transformer oil temperature rising rate being too fast; In step S3, when the load rate of the distribution transformer in the area is η k <100% When , make the following judgment: when T oil-k < T w , r oil-k < R oil w , 1.05K≥K IAk 、 K IBk 、 K ICk ≥0.95K When all conditions are met, the distribution transformer is judged to be in normal operation state; when T oil-k < T w and r oil-k ≥R oil w ,and K IAk 、 K IBk 、 K ICk At least one of the three is less than 0.95K When the short circuit occurs, it is judged that the distribution transformer is short-circuited due to internal insulation damage; when T oil-k ≥T w and r oil-k ≥R oil w ,and K IAk 、 K IBk 、 K ICk At least one of the three is less than 0.95K , r IA-k l / r IA-k h 、 r IB-k l / r IB-k h 、 r IC-k l / r IC-k h At least one of the three is less than 0.95K When , it is determined that a short circuit fault occurs inside the distribution transformer.

2. The method for identifying distribution transformer fault risks according to claim 1, characterized in that: In step S3, when the load rate of the distribution transformer in the area is η k ≥100% When , make the following judgment: when 1.05K≥K IAk 、 K IBk 、 K ICk ≥0.95K , 1.05K≥r IA-k l / r IA-k h 、 r IB-k l / r IB-k h 、 r IC-k l / r IC-k h ≥ 0.95K , T oil-k < T w , r oil-k < R oil w When , it is determined that the distribution transformer is overloaded.

3. The method for identifying distribution transformer fault risks according to claim 2, characterized in that: In step S3, when the load rate of the distribution transformer in the area is η k ≥100% When , make the following judgment: when 1.05K≥K IAk 、 K IBk 、 K ICk ≥0.95K , 1.05K≥r IA-k l / r IA-k h 、 r IB-k l / r IB-k h 、 r IC-k l / r IC-k h ≥ 0.95K , T oil-k ≥T w , r oil-k ≥R oil w When the load is too high, it is judged that the distribution transformer is overloaded and over-temperature.

4. The method for identifying distribution transformer fault risks according to claim 3, characterized in that: In step S3, when the load rate of the distribution transformer in the area is η k ≥100% When , make the following judgment: when 1.05K≥K IAk 、 K IBk 、 K ICk ≥0.95K , r IA-k l / r IA-k h 、 r IB-k l / r IB-k h 、 r IC-k l / r IC-k h At least one of the three is less than 0.95K When the transformer is judged to be overloaded and internal insulation damage occurs, the intelligent fusion terminal in the substation sends the warning information of transformer overload and internal insulation damage to the master station; and according to the oil temperature of the transformer T oil-k and temperature rise rate r oil-k ; Determine whether the distribution transformer has oil temperature warning or oil temperature rise too fast warning information.

5. The method for identifying distribution transformer fault risks according to claim 4, characterized in that: In step S3, when the load rate of the distribution transformer in the area is η k ≥100% When , make the following judgment: when r oil-k ≥R oil w ,and K IAk 、 K IBk 、 K ICk At least one of the three is less than 0.95K When a short circuit occurs inside the distribution transformer, the intelligent fusion terminal in the substation controls the intelligent drop fuse to disconnect.

6. A distribution transformer fault risk identification device, used to perform the steps of the method according to any one of claims 1 to 5, characterized in that: It includes a control module, a voltage detection module, a current detection module and an oil temperature detection module. The voltage detection module is used to detect the three-phase voltage at the low-voltage outlet of the distribution transformer, the current detection module is used to detect the three-phase current at the low-voltage outlet of the distribution transformer and the three-phase current on the high-voltage side of the distribution transformer, and the oil temperature detection module is used to detect the oil temperature of the distribution transformer. The control module is connected to the voltage detection module, the current detection module and the oil temperature detection module respectively, and is used to analyze the operating status of the distribution transformer according to the detection data of each module.

7. A distribution transformer fault risk identification system, comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the computer program is executed by a processor, the computer program performs the steps of the method according to any one of claims 1 to 5.

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