Power distribution and utilization line fault arc hidden danger judgment method and system

Abstract

The invention discloses a power distribution and utilization line fault arc hidden danger judgment method. The method comprises the steps of obtaining data information of a target power distribution and utilization line in real time; calculating the variable quantity of each piece of data; performing primary judgment on the fault arc hidden danger of the target power distribution and utilization line; calculating a dimension decision value of the variable quantity of each piece of data; performing secondary judgment on the fault arc hidden danger of the target power distribution and utilization line; and completing hidden danger judgment of the fault arc of the target power distribution and utilization line. The invention also discloses a system for realizing the method for judging the fault arc hidden danger of the power distribution and utilization line. According to the method, the multi-dimensional real-time data information of the target line is acquired, the time domain and the frequency domain are combined, and primary judgment and secondary judgment are performed, so that the fault arc hidden danger judgment of the power distribution and utilization line is realized, the reliability is higher, the accuracy is better, and the scheme is simple and convenient.

Description

Technical Field

[0001] The invention belongs to the field of electrical automation, and in particular relates to a method and system for determining arc fault hazards in distribution power lines. Background Art

[0002] With the development of economy and technology and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. Therefore, ensuring the stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Electrical fire is one of the most serious faults in the power system, which can cause great harm to the power system. One of the main causes of electrical fire is fault arc; therefore, the determination of fault arc hidden dangers in distribution lines is of great significance for preventing power line fires.

[0004] At present, the commonly used schemes for determining the hidden dangers of arc faults in distribution power lines are mainly physical sensor detection schemes and electrical quantity sensor detection schemes: the physical sensor detection method collects physical information when the arc fault occurs by installing temperature sensors, smoke sensors, cameras and other equipment on key lines or locations prone to electrical fires, so as to identify the arc fault; however, afterwards, the monitoring scope of this type of method is limited, and the equipment installation and maintenance costs are high. The electrical quantity sensor detection scheme uses voltage sensors, current sensors and other equipment to collect the electrical quantity data of the line, and diagnoses the line fault arc by setting corresponding thresholds; however, the existing schemes and methods of this type usually consider fewer dimensions and are easily affected by load changes. There are problems such as limited application scenarios, low diagnostic accuracy, and high false alarm rate. Summary of the invention

[0005] One of the purposes of the present invention is to provide a method for determining arc fault hazards in power distribution lines which is highly reliable, accurate, simple and convenient.

[0006] A second object of the present invention is to provide a system for implementing the method for determining arc fault hazards in distribution power lines.

[0007] The method for determining arc fault hazards in distribution power lines provided by the present invention comprises the following steps:

[0008] S1. Real-time acquisition of target power distribution line data information;

[0009] S2. Calculate the change of each data according to the data information obtained in step S1;

[0010] S3. According to the variation data obtained in step S2, the target distribution line arc fault hazard is initially determined;

[0011] S4. Calculate the dimension determination value of the change amount of each data according to the determination result obtained in step S3 and the data information obtained in step S1;

[0012] S5. According to the dimension determination value obtained in step S4, a secondary determination of the arc fault hazard of the target power distribution line is performed;

[0013] S6. According to the determination result obtained in step S5, the hidden danger determination of the arc fault in the target power distribution line is completed.

[0014] The real-time acquisition of data information of the target power distribution line described in step S1 specifically includes the following steps:

[0015] According to the set sampling frequency, the voltage data, current data, power data, power factor data and line harmonic data of the target power distribution line are obtained.

[0016] The step S2 of calculating the change amount of each data according to the data information obtained in step S1 specifically includes the following steps:

[0017] Use the following formula to calculate the current change amplitude ΔI t12 :

[0018] ΔI t12 =I t1 -I t2

[0019] Where I t1 is the current amplitude at time t1; I t2 is the current amplitude at time t2; time t1 and time t2 are adjacent times;

[0020] Use the following formula to calculate the odd harmonic change amplitude ΔOH t12 :

[0021] ΔOH t12 =|OH t1 -OH t2 |

[0022] Where OH t1 is the total amplitude of odd harmonics at time t1; OH t2 is the total amplitude of odd harmonics at time t2;

[0023] Use the following formula to calculate the even harmonic change amplitude ΔEH t12 :

[0024] ΔEH t12 =|EH t1 -EH t2 |

[0025] Where EH t1 is the total amplitude of even harmonics at time t1; EH t2 is the total amplitude of even harmonic content at time t2.

[0026] The step S3 of performing a primary determination of arc fault hazards of the target power distribution line according to the variation data obtained in the step S2 specifically includes the following steps:

[0027] The primary determination index ILFDM of arc fault hazards of the target power distribution line is calculated using the following formula:

[0028] ILFDM=k 1 ΔI t12 +k 2 ΔOH t12 +k 3 ΔEH t12

[0029] Where k 1 is the first weight coefficient; k 2 is the second weight coefficient; k 3 is the third weight coefficient;

[0030] According to the obtained ILFDM, the following rules are used to make a primary judgment on the arc fault hazards of the target power distribution line:

[0031] If ILFDM>θ 1 , it is preliminarily determined that there is a potential arc fault in the target power distribution line, and the subsequent steps are carried out; θ 1 To set the primary threshold;

[0032] If ILFDM≤θ 1 , it is preliminarily determined that there is no hidden danger of arc fault in the target power distribution line, and the algorithm ends.

[0033] The step S4, according to the determination result obtained in step S3 and the data information obtained in step S1, calculates the dimension determination value of the change amount of each data, and specifically includes the following steps:

[0034] The current mutation amplitude |ΔI is calculated using the following formula: t12 |:

[0035] |ΔI t12 |=|I t1 -I t2 |

[0036] Where I t1 is the current amplitude at time t1; I t2 is the current amplitude at time t2; time t1 and time t2 are adjacent times;

[0037] The current variance amplitude σI is calculated using the following formula: t123 :

[0038]

[0039] In the formula is the average value of the line current at time t1, time t2 and time t3; time t2 and time t3 are adjacent times; I t3 is the current amplitude at time t3;

[0040] The power mutation amplitude ΔP is calculated using the following formula: t12 :

[0041] ΔP t12 =|P t1 -P t2 |

[0042] Where P t1 is the line power at time t1; P t2 is the line power at time t2;

[0043] The odd harmonic mutation amplitude |ΔOH is calculated using the following formula: t12 |:

[0044] |ΔOH t12 |=|OH t1 -OH t2 |

[0045] Where OH t1 is the total amplitude of odd harmonics at time t1; OH t2 is the total amplitude of odd harmonics at time t2;

[0046] The even harmonic mutation amplitude |ΔEH is calculated using the following formula: t12 |:

[0047] |ΔEH t12 |=|EH t1 -EH t2 |

[0048] Where EH t1 is the total amplitude of even harmonics at time t1; EH t2 is the total amplitude of even harmonic content at time t2;

[0049] If |ΔI t12 |>θ 2 Then α=1, if |ΔI t12 |≤θ 2 Then α=0,θ 2 is the set current change threshold, α is the current mutation amplitude dimension;

[0050] If σI t123 >θ 3 Then β=1, if σI t123 ≤θ 3 Then β=0,θ 3 is the set current variance threshold, β is the current variance amplitude dimension;

[0051] If ΔP t12 >θ 4 Then χ=1, if ΔP t12 ≤θ 4 Then χ=0,θ 4 is the power mutation threshold, χ is the power mutation amplitude dimension;

[0052] If |ΔOH t12 |>θ 5 Then δ=1, if |ΔOH t12 |≤θ 5 Then δ=0,θ 5 is the set odd harmonic mutation amplitude, δ is the odd harmonic mutation amplitude dimension;

[0053] If |ΔEH t12 |>θ 6 Then ε=1, if |ΔEH t12 |≤θ 6 Then ε=0,θ 6 is the set even-order harmonic mutation amplitude, and ε is the even-order harmonic mutation amplitude dimension.

[0054] The step S5, according to the dimension determination value obtained in step S4, performs a secondary determination of the arc fault hazard of the target power distribution line, which specifically includes the following steps:

[0055] The secondary determination index FLFDM of the target distribution power line fault arc hazard is calculated using the following formula:

[0056] FLFDM=m 1 FLFDM1+m 2 FLFDM2

[0057] Where m 1 is the time domain diagnosis weight coefficient; m 2 is the frequency domain diagnosis weight coefficient; FLFDM1 is the time domain diagnosis index, and FLFDM1 = a 1 α+a 2 β+a 3 χ,a 1 is the current change weight coefficient, a 2 is the current variance weight coefficient, a 3is the power mutation weight coefficient; FLFDM2 is the frequency domain diagnostic index, and FLFDM2 = a 4 δ+a 5 ε,a 4 is the odd harmonic weight coefficient, a 5 is the even harmonic weight coefficient;

[0058] According to the obtained FLFDM, a secondary determination of the arc fault hazard of the target power distribution line is performed:

[0059] If FLFDM≤TT 1 , it is determined that there is no arc fault hazard in the target power distribution line;

[0060] If TT 1 <FLFDM<TT 2 , then proceed to the next round of judgment;

[0061] If FLFDM ≥ TT 2 , it is determined that there is a potential arc fault in the target power distribution line;

[0062] If the results of two consecutive rounds are both TT 1 <FLFDM<TT 2 , it is determined that there is a fault arc hazard in the target power distribution line.

[0063] The present invention also provides a system for implementing the method for determining arc fault hazards in distribution power lines, comprising a data acquisition module, a change calculation module, a primary determination module, a dimension calculation module, a secondary determination module and a hidden danger determination module; the data acquisition module, the change calculation module, the primary determination module, the dimension calculation module, the secondary determination module and the hidden danger determination module are connected in series in sequence; the data acquisition module is used to acquire data information of the target distribution power line in real time, and upload the data information to the change calculation module; the change calculation module is used to calculate the change amount of each data according to the received data information and the acquired data information, and upload the data information to the primary determination module; the primary determination module is used to calculate the change amount of each data according to the received data information The information is used to make a primary judgment on the hidden danger of arc fault in the target power distribution line according to the obtained change data, and upload the data information to the dimension calculation module; the dimension calculation module is used to calculate the dimension judgment value of the change amount of each data according to the received data information, the obtained judgment result and the acquired data information, and upload the data information to the secondary judgment module; the secondary judgment module is used to make a secondary judgment on the hidden danger of arc fault in the target power distribution line according to the received data information and the obtained dimensional judgment value, and upload the data information to the hidden danger judgment module; the hidden danger judgment module is used to complete the hidden danger judgment of the arc fault in the target power distribution line according to the received data information and the obtained judgment result.

[0064] The method and system for determining arc fault hazards in distribution power lines provided by the present invention not only realize the determination of arc fault hazards in distribution power lines by acquiring multi-dimensional real-time data information of the target lines, combining the time domain and frequency domain, and performing primary and secondary determinations, but also has higher reliability, better accuracy, and a simple and convenient solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 The figure is a schematic diagram of the method flow of the present invention.

[0066] Figure 2 Schematic diagram of the functional modules of the system of the present invention. DETAILED DESCRIPTION

[0067] like Figure 1 The method flow chart of the method of the present invention is shown as follows: the method for determining arc fault hazards of distribution power lines disclosed in the present invention comprises the following steps:

[0068] S1. Real-time acquisition of target power distribution line data information; specifically includes the following steps:

[0069] According to the set sampling frequency (preferably once per second), the voltage data, current data, power data, power factor data and line harmonic data of the target power distribution line are obtained;

[0070] S2. Calculate the change of each data according to the data information obtained in step S1; specifically, the steps include:

[0071] Use the following formula to calculate the current change amplitude ΔI t12 :

[0072] ΔI t12 =I t1 -I t2

[0073] Where I t1 is the current amplitude at time t1; I t2 is the current amplitude at time t2; time t1 and time t2 are adjacent times;

[0074] Use the following formula to calculate the odd harmonic change amplitude ΔOH t12 :

[0075] ΔOH t12 =|OH t1 -OH t2 |

[0076] Where OH t1 is the total amplitude of odd harmonics at time t1; OH t2 is the total amplitude of odd harmonics at time t2;

[0077] Use the following formula to calculate the even harmonic change amplitude ΔEH t12 :

[0078] ΔEH t12 =|EH t1 -EH t2 |

[0079] Where EH t1 is the total amplitude of even harmonics at time t1; EH t2 is the total amplitude of even harmonic content at time t2;

[0080] S3. According to the variation data obtained in step S2, a primary determination of the arc fault hazard of the target distribution power line is performed; specifically comprising the following steps:

[0081] The primary determination index ILFDM of arc fault hazards of the target power distribution line is calculated using the following formula:

[0082] ILFDM=k 1 ΔI t12 +k 2 ΔOH t12 +k 3 ΔEH t12

[0083] Where k 1 is the first weight coefficient; k 2 is the second weight coefficient; k 3 is the third weight coefficient;

[0084] According to the obtained ILFDM, the following rules are used to make a primary judgment on the arc fault hazards of the target power distribution line:

[0085] If ILFDM>θ 1 , it is preliminarily determined that there is a potential arc fault in the target power distribution line, and the subsequent steps are carried out; θ 1 To set the primary threshold;

[0086] If ILFDM≤θ 1 , it is preliminarily determined that there is no arc fault hazard in the target power distribution line, and the algorithm ends;

[0087] S4. Calculate the dimension determination value of the change amount of each data according to the determination result obtained in step S3 and the data information obtained in step S1; specifically, it includes the following steps:

[0088] The current mutation amplitude |ΔI is calculated using the following formula: t12 |:

[0089] |ΔI t12|=|I t1 -I t2 |

[0090] Where I t1 is the current amplitude at time t1; I t2 is the current amplitude at time t2; time t1 and time t2 are adjacent times;

[0091] The current variance amplitude σI is calculated using the following formula: t123 :

[0092]

[0093] In the formula is the average value of the line current at time t1, time t2 and time t3; time t2 and time t3 are adjacent times; I t3 is the current amplitude at time t3;

[0094] The power mutation amplitude ΔP is calculated using the following formula: t12 :

[0095] ΔP t12 =|P t1 -P t2

[0096] Where P t1 is the line power at time t1; P t2 is the line power at time t2;

[0097] The odd harmonic mutation amplitude |ΔOH is calculated using the following formula: t12 |:

[0098] |ΔOH t12 |=|OH t1 -OH t2 |

[0099] Where OH t1 is the total amplitude of odd harmonics at time t1; OH t2 is the total amplitude of odd harmonics at time t2;

[0100] The even harmonic mutation amplitude |ΔEH is calculated using the following formula: t12 |:

[0101] |ΔEH t12 |=|EH t1 -EH t2 |

[0102] Where EH t1 is the total amplitude of even harmonics at time t1; EH t2 is the total amplitude of even harmonic content at time t2;

[0103] If |ΔI t12 |>θ 2 Then α=1, if |ΔI t12 |≤θ 2 Then α=0,θ 2 is the set current change threshold, α is the current mutation amplitude dimension;

[0104] If σI t123 >θ 3 Then β=1, if σI t123 ≤θ 3 Then β=0,θ 3 is the set current variance threshold, β is the current variance amplitude dimension;

[0105] If ΔP t12 >θ 4 Then χ=1, if ΔP t12 ≤θ 4 Then χ=0,θ 4 is the power mutation threshold, χ is the power mutation amplitude dimension;

[0106] If |ΔOH t12 |>θ 5 Then δ=1, if |ΔOH t12 |≤θ 5 Then δ=0,θ 5 is the set odd harmonic mutation amplitude, δ is the odd harmonic mutation amplitude dimension;

[0107] If |ΔEH t12 |>θ 6 Then ε=1, if |ΔEH t12 |≤θ 6 Then ε=0,θ 6 is the set even harmonic mutation amplitude, ε is the even harmonic mutation amplitude dimension;

[0108] S5. According to the dimension determination value obtained in step S4, a secondary determination of the arc fault hazard of the target power distribution line is performed; specifically comprising the following steps:

[0109] The secondary determination index FLFDM of the target distribution power line fault arc hazard is calculated using the following formula:

[0110] FLFDM=m 1 FLFDM1+m 2 FLFDM2

[0111] Where m 1 is the time domain diagnosis weight coefficient; m 2 is the frequency domain diagnosis weight coefficient; FLFDM1 is the time domain diagnosis index, and FLFDM1 = a1 α+a 2 β+a 3 χ,a 1 is the current change weight coefficient, a 2 is the current variance weight coefficient, a 3 is the power mutation weight coefficient; FLFDM2 is the frequency domain diagnostic index, and FLFDM2 = a 4 δ+a 5 ε,a 4 is the odd harmonic weight coefficient, a 5 is the even harmonic weight coefficient;

[0112] According to the obtained FLFDM, a secondary determination of the arc fault hazard of the target power distribution line is performed:

[0113] If FLFDM≤TT 1 , it is determined that there is no arc fault hazard in the target power distribution line;

[0114] If TT 1 <FLFDM<TT 2 , then proceed to the next round of judgment;

[0115] If FLFDM ≥ TT 2 , it is determined that there is a potential arc fault in the target power distribution line;

[0116] If the results of two consecutive rounds are both TT 1 <FLFDM<TT 2 , it is determined that there is a potential arc fault in the target power distribution line;

[0117] S6. According to the determination result obtained in step S5, the hidden danger determination of the arc fault in the target power distribution line is completed.

[0118] like Figure 2The figure shows a schematic diagram of the functional modules of the system of the present invention: the system disclosed in the present invention for realizing the method for determining the hidden danger of arc fault in the distribution power line comprises a data acquisition module, a change calculation module, a primary determination module, a dimension calculation module, a secondary determination module and a hidden danger determination module; the data acquisition module, the change calculation module, the primary determination module, the dimension calculation module, the secondary determination module and the hidden danger determination module are connected in series in sequence; the data acquisition module is used for acquiring the data information of the target distribution power line in real time, and uploading the data information to the change calculation module; the change calculation module is used for calculating the change amount of each data according to the received data information and the acquired data information, and uploading the data information to the primary determination module; the primary determination module is used for According to the received data information and the obtained change data, a primary judgment is made on the hidden danger of arc fault in the target power distribution line, and the data information is uploaded to the dimension calculation module; the dimension calculation module is used to calculate the dimension judgment value of the change amount of each data according to the received data information, the obtained judgment result and the acquired data information, and upload the data information to the secondary judgment module; the secondary judgment module is used to make a secondary judgment on the hidden danger of arc fault in the target power distribution line according to the received data information and the obtained dimension judgment value, and upload the data information to the hidden danger judgment module; the hidden danger judgment module is used to complete the judgment on the hidden danger of arc fault in the target power distribution line according to the received data information and the obtained judgment result.

Claims

1. A method for determining arc fault hazards in power distribution lines, comprising the following steps: S1. Real-time acquisition of target power distribution line data information; S2. Calculate the change of each data according to the data information obtained in step S1; S3. According to the variation data obtained in step S2, the target distribution line arc fault hazard is initially determined; S4. Calculate the dimension determination value of the change amount of each data according to the determination result obtained in step S3 and the data information obtained in step S1; S5. According to the dimension determination value obtained in step S4, a secondary determination of the arc fault hazard of the target power distribution line is performed; S6. According to the determination result obtained in step S5, the hidden danger determination of the arc fault in the target power distribution line is completed.

2. The method for determining arc fault hazards in distribution power lines according to claim 1 is characterized in that The real-time acquisition of data information of the target power distribution line described in step S1 specifically includes the following steps: According to the set sampling frequency, the voltage data, current data, power data, power factor data and line harmonic data of the target power distribution line are obtained.

3. The method for determining arc fault hazards in distribution power lines according to claim 2 is characterized in that The step S2 of calculating the change amount of each data according to the data information obtained in step S1 specifically includes the following steps: Use the following formula to calculate the current change amplitude ΔI t12 : ΔI t12 =I t1 -I t2 Where I t1 is the current amplitude at time t1; I t2 is the current amplitude at time t2; time t1 and time t2 are adjacent times; Use the following formula to calculate the odd harmonic change amplitude ΔOH t12 : ΔOH t12 =|OH t1 -OH t2 | Where OH t1 is the total amplitude of odd harmonics at time t1; OH t2 is the total amplitude of odd harmonics at time t2; Use the following formula to calculate the even harmonic change amplitude ΔEH t12 : ΔEH t12 [|YES t1 -HE t2 | Where EH t1 is the total amplitude of even harmonics at time t1; EH t2 is the total amplitude of even harmonic content at time t2.

4. The method for determining arc fault hazards in distribution power lines according to claim 3 is characterized in that The step S3 of performing a primary determination of arc fault hazards of the target power distribution line according to the variation data obtained in the step S2 specifically includes the following steps: The primary determination index ILFDM of arc fault hazards of the target power distribution line is calculated using the following formula: ILFDM=k1ΔI t12 +k2ΔOH t12 +k3ΔEH t12 Wherein k1 is the first weight coefficient; k2 is the second weight coefficient; k3 is the third weight coefficient; According to the obtained ILFDM, the following rules are used to make a primary judgment on the arc fault hazards of the target power distribution line: If ILFDM>θ1, it is preliminarily determined that the target power distribution line has a potential fault arc hazard, and the subsequent steps are carried out; θ1 is the set primary threshold; If ILFDM≤θ1, it is preliminarily determined that there is no arc fault hazard in the target power distribution line, and the algorithm ends.

5. The method for determining arc fault hazards in distribution power lines according to claim 4 is characterized in that The step S4, according to the determination result obtained in step S3 and the data information obtained in step S1, calculates the dimension determination value of the change amount of each data, and specifically includes the following steps: The current mutation amplitude |ΔI is calculated using the following formula: t12 |: |ΔI t12 |=|I t1 -I t2 | Where I t1 is the current amplitude at time t1; I t2 is the current amplitude at time t2; time t1 and time t2 are adjacent times; The current variance amplitude σI is calculated using the following formula: t123 : In the formula is the average value of the line current at time t1, time t2 and time t3; time t2 and time t3 are adjacent times; I t3 is the current amplitude at time t3; The power mutation amplitude ΔP is calculated using the following formula: t12 : ΔP t12 =|P t1 -P t2 | Where P t1 is the line power at time t1; P t2 is the line power at time t2; The odd harmonic mutation amplitude |ΔOH is calculated using the following formula: t12 |: |ΔOH t12 |=|OH t1 -OH t2 | Where OH t1 is the total amplitude of odd harmonics at time t1; OH t2 is the total amplitude of odd harmonics at time t2; The even harmonic mutation amplitude |ΔEH is calculated using the following formula: t12 |: |ΔEH t12 |=|YES t1 -HE t2 | Where EH t1 is the total amplitude of even harmonics at time t1; EH t2 is the total amplitude of even harmonic content at time t2; If |ΔI t12 |>θ2 then α=1, if |ΔI t12 |≤θ2, then α=0, θ2 is the set current change threshold, and α is the current mutation amplitude dimension; If σI t123 >θ3 then β=1, if σI t123 ≤θ3, then β=0, θ3 is the set current variance threshold, and β is the current variance amplitude dimension; If ΔP t12 >θ4 then χ=1, if ΔP t12 ≤θ4, then χ=0, θ4 is the set power mutation threshold, and χ is the power mutation amplitude dimension; If |ΔOH t12 |>θ5 then δ=1, if |ΔOH t12 |≤θ5, then δ=0, θ5 is the set odd harmonic mutation amplitude, and δ is the odd harmonic mutation amplitude dimension; If |ΔEH t12 |>θ6 then ε=1, if |ΔEH t12 |≤θ6, then ε=0, θ6 is the set even-order harmonic mutation amplitude, and ε is the dimension of the even-order harmonic mutation amplitude.

6. The method for determining arc fault hazards in distribution power lines according to claim 5 is characterized in that The step S5, according to the dimension determination value obtained in step S4, performs a secondary determination of the arc fault hazard of the target power distribution line, which specifically includes the following steps: The secondary determination index FLFDM of the target distribution power line fault arc hazard is calculated using the following formula: FLFDM=m1FLFDM1+m2FLFDM2 Where m1 is the time domain diagnosis weight coefficient; m2 is the frequency domain diagnosis weight coefficient; FLFDM1 is the time domain diagnosis index, and FLFDM1=a1α+a2β+a3χ, a1 is the current change weight coefficient, a2 is the current variance weight coefficient, and a3 is the power mutation weight coefficient; FLFDM2 is the frequency domain diagnosis index, and FLFDM2=a4δ+a5ε, a4 is the odd harmonic weight coefficient, and a5 is the even harmonic weight coefficient; According to the obtained FLFDM, a secondary determination of the arc fault hazard of the target power distribution line is performed: If FLFDM≤TT1, it is determined that there is no arc fault hazard in the target power distribution line; If TT1<FLFDM<TT2, proceed to the next round of determination; If FLFDM≥TT2, it is determined that the target power distribution line has a fault arc hazard; If the judgment results of two consecutive rounds are both TT1<FLFDM<TT2, it is determined that there is a fault arc hazard in the target power distribution line.

7. A system for implementing the method for determining arc fault hazards in distribution power lines as claimed in any one of claims 1 to 6, characterized in that It includes a data acquisition module, a change calculation module, a primary determination module, a dimension calculation module, a secondary determination module and a hidden danger determination module; the data acquisition module, the change calculation module, the primary determination module, the dimension calculation module, the secondary determination module and the hidden danger determination module are connected in series in sequence; the data acquisition module is used to acquire the data information of the target power distribution line in real time, and upload the data information to the change calculation module; The change calculation module is used to calculate the change amount of each data according to the received data information and the acquired data information, and upload the data information to the primary determination module; The primary determination module is used to make a primary determination of the arc fault hazard of the target power distribution line according to the received data information and the obtained variation data, and upload the data information to the dimension calculation module; The dimension calculation module is used to calculate the dimension determination value of the change amount of each data according to the received data information, the obtained determination result and the acquired data information, and upload the data information to the secondary determination module; the secondary determination module is used to perform a secondary determination of the arc fault hazard of the target power distribution line according to the received data information and the obtained dimension determination value, and upload the data information to the hazard determination module; The hidden danger determination module is used to complete the hidden danger determination of the arc fault of the target power distribution line according to the received data information and the obtained determination results.

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