Digital power grid fault analysis system

Abstract

The invention relates to the technical field of power grid fault analysis, in particular to a digital power grid fault analysis system, which comprises a data acquisition unit used for acquiring power data of each power region; the load analysis unit is used for determining a circuit load state according to the load intensity and the harmonic load proportion of each power region, and determining the duration of the detection period according to the circuit load state; the adjusting unit is used for adjusting the duration of the detection period according to the circuit complexity coefficient; the analysis unit is used for determining a priority value according to the first priority coefficient and the second priority coefficient, and performing fault analysis on the power regions in sequence according to a priority value sequence; the processing unit is used for determining a fault processing priority coefficient according to the fault duration and the fault index proportion of the fault area, and transmitting the power data of the fault area to the user side in sequence; and the accuracy and efficiency of power grid fault detection and analysis are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid fault analysis, and particularly to a digital power grid fault analysis system. Background Art

[0002] With the development of smart grids, the power grid structure has become increasingly complex. The large-scale access of distributed power sources (such as photovoltaic and wind power), the wide application of power electronic devices, and the diversification of loads have made the types of power grid faults more complex. Traditional fault analysis methods face many challenges. Through big data analysis, early warning and location of faults can be achieved. However, in the fault detection stage, there are different influencing factors in different regions, as well as the problem of the processing order of multi-region faults, which affects the acquisition of detection data and thus the accuracy of fault detection. Therefore, how to quickly and accurately detect power grid faults is crucial for ensuring the reliable operation of the power system.

[0003] Chinese Patent Publication No. CN119093588A discloses a digital power grid fault analysis system, which includes a fault analysis host. A display screen is installed on the front side of the fault analysis host, an adjustable support frame is installed on the rear side of the fault analysis host, a plurality of data transmission interfaces are installed on both sides of the fault analysis host, a control circuit board is installed in the inner cavity of the fault analysis host, the fault analysis host is connected to a power grid operation state collector installed in the power grid, and the fault analysis host is also connected to a background monitoring terminal in signal; realizing real-time monitoring of the power grid operation state and timely identifying and analyzing power grid faults. However, the above solution has the following problems: it does not consider the influence of load and environmental factors on the circuit, as well as the problem of the processing order of multi-region faults, thus affecting the accuracy and timeliness of fault analysis. Summary of the Invention

[0004] Therefore, the present invention provides a digital power grid fault analysis system to overcome the problems in the prior art that do not consider the influence of load and environmental factors on the circuit, as well as the problem of the processing order of multi-region faults, thus affecting the accuracy and timeliness of fault analysis.

[0005] To achieve the above object, the present invention provides a digital power grid fault analysis system, including:

[0006] A data acquisition unit for acquiring power data of each power region;

[0007] A load analysis unit, which is connected to the data acquisition unit, determines the circuit load state according to the load density and harmonic load ratio of each power region, and determines the duration of the detection period according to the circuit load state;

[0008] An adjustment unit, which is respectively connected to the data acquisition unit and the load analysis unit, and adjusts the duration of the detection period according to the comparison result between the circuit complexity coefficient and the preset circuit complexity coefficient;

[0009] An analysis unit, which is respectively connected to the data acquisition unit, the load analysis unit and the adjustment unit, is used to determine the environmental coefficient according to the snow load and the wind load, and determine the first priority coefficient according to the environmental coefficient, and determine the second priority coefficient according to the historical failure times and the historical concurrent failure numbers; determine the priority value according to the first priority coefficient and the second priority coefficient, and perform fault analysis on the power areas in the order of the priority value;

[0010] A processing unit, which is respectively connected to the data acquisition unit, the load analysis unit, the adjustment unit and the analysis unit, determines the fault handling priority coefficient according to the fault duration of the fault area and the proportion of the fault index, and sequentially transmits the power data of the fault area to the user side in order.

[0011] Further, determine the circuit load status according to the load density and the proportion of harmonic load. The circuit load status includes:

[0012] The first circuit load status where the load density is greater than the preset load density and the proportion of harmonic load is greater than the preset proportion of harmonic load;

[0013] The second circuit load status where the load density is less than or equal to the preset load density or the proportion of harmonic load is less than or equal to the preset proportion of harmonic load.

[0014] Further, determine the duration of the detection period according to the circuit load status;

[0015] When the circuit load status is in the first circuit load status, adjust the duration of the detection period;

[0016] When the circuit load status is in the second circuit load status, set the duration of the detection period to the initial detection duration.

[0017] Further, record the sum of the density difference and the proportion difference of harmonic load as the circuit complexity coefficient, and determine whether to adjust the duration of the detection period according to the comparison result between the circuit complexity coefficient and the preset circuit complexity coefficient.

[0018] Further, during environmental analysis, determine the environmental coefficient according to the snow load and the wind load, and determine the first priority coefficient according to the environmental coefficient;

[0019] Among them, the first priority coefficient has a positive correlation with the environmental coefficient.

[0020] Further, determine the second priority coefficient according to the historical failure times and the historical concurrent failure numbers;

[0021] Among them, the second priority coefficient has a positive correlation with both the historical failure times and the historical concurrent failure numbers.

[0022] Furthermore, determine the priority value according to the first priority coefficient and the second priority coefficient, and conduct fault analysis for power regions in descending order of the priority value;

[0023] When conducting fault analysis for a single power region, detect the comparison results between each fault index and the corresponding preset fault index threshold to determine whether the power region is a fault region.

[0024] Furthermore, the fault indexes include current parameters, voltage parameters, temperature parameters, power parameters, waveform distortion times, high-frequency spectrum times, and low-frequency spectrum times.

[0025] Furthermore, determine the fault handling priority coefficient according to the fault duration and the fault index proportion of the fault region, and transmit the power data of the fault regions to the user side in descending order of the fault handling priority coefficient.

[0026] Furthermore, the fault handling priority coefficient = V = ω1V1×ω2V2; where V1 is the fault duration, V2 is the fault index proportion, ω1 is the first weight coefficient, and ω2 is the second weight coefficient.

[0027] Compared with the prior art, the beneficial effect of the present invention is that in the technical solution of the present invention, the load analysis unit determines the circuit load state as the first circuit load state or the second circuit load state according to the load density and the harmonic load proportion, and determines the duration of the detection period according to the circuit load state. The distribution state of the load reflected by the load density affects the circuit, and the stability of the power system is reflected by the harmonic load proportion. The detection period is dynamically adjusted for different circuit load states, avoiding the low utilization rate of the subsequent extracted data caused by a fixed detection period, and thus improving the efficiency of data acquisition.

[0028] Furthermore, in the technical solution of the present invention, the analysis unit determines the priority value according to the first priority coefficient and the second priority coefficient, and conducts fault analysis for power regions in descending order of the priority value; the first priority coefficient reflects the influence of natural environmental factors on grid faults, and the second priority coefficient reflects the predictive effect of historical failure times and historical concurrent failure numbers on grid faults, avoiding inaccurate identification of grid faults caused by a single influencing factor, and thus improving the accuracy and rationality of grid fault detection.

[0029] Furthermore, in the technical solution of the present invention, the processing unit determines the fault handling priority coefficient according to the fault duration in the fault area and the proportion of fault indicators, and sequentially transmits the power data of the fault area to the user side in the order from large to small of the fault handling priority coefficient; the fault duration reflects the frequency of faults and the total fault duration at each fault point, and the proportion of fault indicators reflects the severity of the faults and determines the priority of subsequent fault handling, avoiding resource misallocation when multiple faults occur and secondary faults not being handled in time evolving into primary faults, thereby improving the efficiency of key function recovery and the accuracy of fault root cause location. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is the unit connection diagram of the digital power grid fault analysis system of the present invention;

[0031] Figure 2 is the flow chart for determining the circuit load status of the present invention;

[0032] Figure 3 is the flow chart for determining the detection cycle duration of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] In order to make the objectives and advantages of the present invention clearer, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only for explaining the present invention and are not used to limit the present invention.

[0034] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0035] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the present invention.

[0036] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. Those skilled in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

[0037] Please refer toFigures 1 to 3 As shown in the figure, the present invention provides a digital power grid fault analysis system, including:

[0038] A data acquisition unit for acquiring power data of each power region;

[0039] A load analysis unit, connected to the data acquisition unit, determining the circuit load status according to the load density and the harmonic load ratio of each power region, and determining the duration of the detection period according to the circuit load status;

[0040] An adjustment unit, respectively connected to the data acquisition unit and the load analysis unit, adjusting the duration of the detection period according to the comparison result between the circuit complexity coefficient and the preset circuit complexity coefficient;

[0041] An analysis unit, respectively connected to the data acquisition unit, the load analysis unit and the adjustment unit, for determining the environmental coefficient according to the snow load and the wind load, and determining the first priority coefficient according to the environmental coefficient, and determining the second priority coefficient according to the historical fault times and the historical fault concurrency number; determining the priority value according to the first priority coefficient and the second priority coefficient, and performing fault analysis on the power regions in sequence according to the priority value order;

[0042] A processing unit, respectively connected to the data acquisition unit, the load analysis unit, the adjustment unit and the analysis unit, determining the fault handling priority coefficient according to the fault duration and the fault index ratio of the fault region, and sequentially transmitting the power data of the fault region to the user terminal.

[0043] The present invention applies historical records. A single historical record records a number of detected values during a historical monitoring process, including but not limited to, and the historical record is attached with a qualified mark. The qualified mark records whether the historical record meets the user's requirements. Among them, whether it meets the user's requirements is determined by the user according to the fault handling effect. For example, the user can set the missed acquisition rate as a judgment index. If the missed acquisition rate is within the user's acceptable range, the fault handling effect is qualified, that is, the historical record meets the user's requirements. The missed acquisition rate is the fault event that has been taken data but not detected, and the fault event includes but not limited to current anomalies and voltage anomalies, etc.

[0044] Specifically, determining the circuit load status according to the load density and the harmonic load ratio, the circuit load status includes:

[0045] The first circuit load status where the load density is greater than the preset load density and the harmonic load ratio is greater than the preset harmonic load ratio;

[0046] The second circuit load status where the load density is less than or equal to the preset load density or the harmonic load ratio is less than or equal to the preset harmonic load ratio.

[0047] The calculation formula for load density is

[0048] Load density = (Spatial density + Electrical density + Temporal density) / 3;

[0049] Among them, Spatial density = Total load power / Area of the region; Electrical density = 0.5×Current density + 0.5×Power density; Current density = Current / Cross-sectional area of the wire; Power density = Power consumption of the device / Encapsulation area of the device; Temporal density = Peak load / Average load.

[0050] The calculation formula for the proportion of harmonic load is:

[0051] Proportion of harmonic load = Number of harmonic loads / Total number of line loads;

[0052] For the values of the preset load density and the preset proportion of harmonic load, users can set them according to the actual scenario. In the present invention, the distribution state of the load on the circuit is reflected by the load density, and the stability of the power system is reflected by the proportion of harmonic load. The higher the accuracy of the user for fault detection, the smaller the preset load density and the preset proportion of harmonic load. A method of obtaining values is provided, which respectively detects the average values of the load density and the proportion of harmonic load in the historical records that meet the user's requirements, and records them as the preset load density and the preset proportion of harmonic load respectively.

[0053] Specifically, the duration of the detection period is determined according to the circuit load state;

[0054] When the circuit load state is in the first circuit load state, the duration of the detection period is adjusted;

[0055] When the circuit load state is in the second circuit load state, the duration of the detection period is set to the initial detection duration.

[0056] The method for confirming the initial detection duration is to detect the detection duration values that meet the user's requirements in the historical records that meet the user's requirements, and record the average value of the detection duration values as the initial detection duration.

[0057] Specifically, the sum of the density difference and the harmonic load ratio difference is denoted as the circuit complexity coefficient, and whether to adjust the duration of the detection period is determined according to the comparison result between the circuit complexity coefficient and the preset circuit complexity coefficient.

[0058] The calculation formula for the density difference is:

[0059] Density difference = Load density - Preset load density;

[0060] The calculation formula for the harmonic load ratio difference is:

[0061] Harmonic load ratio difference = Harmonic load ratio - Preset harmonic load ratio;

[0062] If the circuit complexity coefficient is greater than the preset circuit complexity coefficient, the duration of the detection period is proportionally reduced according to the ratio, and the calculation formula for the reduced duration is:

[0063] Reduced duration = 1.2 × (Circuit complexity coefficient - Preset circuit complexity coefficient);

[0064] If the circuit complexity coefficient is less than or equal to the preset circuit complexity coefficient, the duration of the detection period is not adjusted.

[0065] Specifically, during environmental analysis, the environmental coefficient is determined based on the snow load and wind load, and the first priority coefficient is determined based on the environmental coefficient;

[0066] Among them, the first priority coefficient has a positive correlation with the environmental coefficient.

[0067] The calculation formula for the snow load S0 is:

[0068] S0 = ρ·ɡ·h;

[0069] Among them, ρ is the snow density, ɡ is the acceleration due to gravity, and h is the snow depth.

[0070] The calculation formula for the wind load W0 is:

[0071]

[0072] Among them, ρ a is the air density, and v0 is the reference wind speed.

[0073] The calculation formula for the environmental coefficient is:

[0074] Environmental coefficient = 0.5 × S0 + 0.5 × W0;

[0075] The calculation formula for the first priority coefficient is:

[0076] First priority coefficient = k × Environmental coefficient;

[0077] Among them, k is a constant coefficient, and the value of k can be set by the user according to the actual application scenario. The present invention provides a value, k = 1.2.

[0078] Specifically, the second priority coefficient is determined based on the historical failure times and historical failure concurrency;

[0079] Among them, the second priority coefficient has a positive correlation with both the historical number of faults and the historical number of concurrent faults. The way to confirm the historical number of faults is to obtain the number of faults that occurred at each fault point within one week. The way to confirm the historical number of concurrent faults is to obtain the number of independent faults that occurred simultaneously within one week, and record the number of independent faults that occurred simultaneously within one week as the historical number of concurrent faults. The present invention reflects the stability of the power system and the correlation between fault points through the historical number of concurrent faults.

[0080] The calculation formula of the second priority coefficient is:

[0081] Second priority coefficient = K1×α1 + K2×α2;

[0082] Among them, K1 is the historical number of faults, K2 is the historical number of concurrent faults, α1 is the first weight coefficient, α2 is the second weight coefficient. The values of α1 and α2 can be obtained by the user through a deep learning network and historical records. How to obtain training samples through historical records and learn the weight coefficients is content that is easily understood by those skilled in the art and will not be elaborated here. A preferred value in the implementation of the present invention is provided: α1 = 0.6, α2 = 0.4.

[0083] Specifically, determine the priority value according to the first priority coefficient and the second priority coefficient, and perform fault analysis on the power regions in descending order of the priority value;

[0084] When performing fault analysis on a single power region, detect the comparison results of each fault index with the corresponding preset fault index threshold to determine whether the power region is a fault region.

[0085] Specifically, the fault indexes include current parameters, voltage parameters, temperature parameters, power parameters, number of waveform distortions, number of high-frequency spectra, and number of low-frequency spectra.

[0086] Specifically, determine the fault handling priority coefficient according to the fault duration and the proportion of fault indexes in the fault region, and transmit the power data of the fault region to the user side in descending order of the fault handling priority coefficient.

[0087] Specifically, fault handling priority coefficient = V = ω1V1×ω2V2; where, V1 is the fault duration, V2 is the proportion of fault indexes, ω1 is the first weight coefficient, ω2 is the second weight coefficient. The values of ω1 and ω2 can be obtained by the user through a deep learning network and historical records. How to obtain training samples through historical records and learn the weight coefficients is content that is easily understood by those skilled in the art and will not be elaborated here. A preferred value in the implementation of the present invention is provided: ω1 = 0.6, ω2 = 0.4.

[0088] So far, the technical solution of the present invention has been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easily understood by those skilled in the art that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0089] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A digital power grid fault analysis system, characterized in that, Including: A data acquisition unit for acquiring power data of each power region; A load analysis unit connected to the data acquisition unit, determining the circuit load status according to the load density and the harmonic load ratio of each power region, and determining the duration of the detection period according to the circuit load status; An adjustment unit connected to the data acquisition unit and the load analysis unit respectively, adjusting the duration of the detection period according to the comparison result between the circuit complexity coefficient and the preset circuit complexity coefficient; An analysis unit connected to the data acquisition unit, the load analysis unit and the adjustment unit respectively, for determining the environmental coefficient according to the snow load and the wind load, and determining the first priority coefficient according to the environmental coefficient, determining the second priority coefficient according to the historical failure times and the historical concurrent failure numbers; determining the priority value according to the first priority coefficient and the second priority coefficient, and performing fault analysis on the power regions in sequence according to the priority value order; A processing unit connected to the data acquisition unit, the load analysis unit, the adjustment unit and the analysis unit respectively, determining the fault handling priority coefficient according to the fault duration and the fault index ratio of the fault region, and transmitting the power data of the fault region to the user side in sequence according to the order.

2. The digital power grid fault analysis system according to claim 1, wherein Determining the circuit load status according to the load density and the harmonic load ratio, the circuit load status includes: The first circuit load status where the load density is greater than the preset load density and the harmonic load ratio is greater than the preset harmonic load ratio; The second circuit load status where the load density is less than or equal to the preset load density or the harmonic load ratio is less than or equal to the preset harmonic load ratio.

3. The digital power grid fault analysis system according to claim 2, characterized in that, Determining the duration of the detection period according to the circuit load status; When the circuit load status is in the first circuit load status, adjusting the duration of the detection period; When the circuit load status is in the second circuit load status, setting the duration of the detection period to the initial detection duration.

4. The digital power grid fault analysis system according to claim 3, wherein Recording the sum of the density difference and the harmonic load ratio difference as the circuit complexity coefficient, and determining whether to adjust the duration of the detection period according to the comparison result between the circuit complexity coefficient and the preset circuit complexity coefficient.

5. The digital power grid fault analysis system according to claim 4, characterized in that, During environmental analysis, determining the environmental coefficient according to the snow load and the wind load, and determining the first priority coefficient according to the environmental coefficient; Among them, the first priority coefficient has a positive correlation with the environmental coefficient.

6. The digital power grid fault analysis system according to claim 5, wherein Determining the second priority coefficient according to the historical failure times and the historical concurrent failure numbers; Among them, the second priority coefficient has a positive correlation with both the historical failure times and the historical concurrent failure numbers.

7. The digital power grid fault analysis system according to claim 6, characterized in that, Determining the priority value according to the first priority coefficient and the second priority coefficient, and performing fault analysis on the power regions in sequence in descending order of the priority value; When performing fault analysis on a single power region, detecting the comparison result between each fault index and the corresponding preset fault index threshold to determine whether the power region is a fault region.

8. The digital power grid fault analysis system according to claim 7, characterized in that, The fault indicators include current parameters, voltage parameters, temperature parameters, power parameters, waveform distortion times, high-frequency spectrum times and low-frequency spectrum times.

9. The digital power grid fault analysis system according to claim 8, wherein Determining the fault handling priority coefficient according to the fault duration and the fault index ratio of the fault region, and transmitting the power data of the fault region to the user side in sequence in descending order of the fault handling priority coefficient.

10. The digital power grid fault analysis system according to claim 9, wherein Fault handling priority coefficient = V = ω1V1 × ω2V2; Wherein, V1 is the duration of the fault, V2 is the proportion of the fault index, ω1 is the first weight coefficient, and ω2 is the second weight coefficient.

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