Power transformer partial discharge detection method based on ultrasonic positioning
By analyzing historical data and structural characteristics, the ultrasonic sensor layout is optimized, and the problem of low positioning accuracy in local discharge detection of power transformers is solved, achieving more efficient and accurate local discharge positioning, and improving fault diagnosis capabilities.
Patent Information
- Application Number
- CN202411396664.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-09
- Publication Date
- 2025-01-03
- Estimated Expiration
- 2044-10-09
AI Technical Summary
The existing ultrasonic positioning technology in the local discharge detection of power transformers has a problem of reduced positioning accuracy and low accuracy due to complex structure.
By analyzing the historical local discharge detection data of the power transformer, setting up the initial ultrasonic sensor group in combination with structural characteristics, and optimizing the sensor layout through testing and adjustment, the sensor group is calibrated using triangular positioning algorithm and distribution map to improve positioning accuracy.
It improves the accuracy and reliability of local discharge detection of power transformers, ensures that each potential discharge point is effectively covered, reduces unnecessary sensor redundancy, and improves fault diagnosis capabilities and detection efficiency.
Smart Images

Figure CN119247064A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of transformer partial discharge detection, and in particular to a power transformer partial discharge detection method based on ultrasonic positioning. Background Art
[0002] As a key device in the power system, the operating status of power transformers directly affects the safety and stability of the power grid. Partial discharge is one of the common faults of transformers. If it is not discovered and handled in time, it may cause damage to the transformer or even cause more serious power accidents. Ultrasonic positioning technology has been widely used in transformer partial discharge detection due to its non-contact and high sensitivity.
[0003] The patent document with Chinese patent publication number CN102879714A discloses a transformer partial discharge detection and positioning method, comprising the steps of: using an ultrasonic probe to detect the ultrasonic signal generated by the partial discharge point of the transformer outside the transformer oil tank; preprocessing the ultrasonic signal; wherein the preprocessing includes analog-to-electric conversion and analog-to-digital conversion processing; and determining the position of the partial discharge point according to the ultrasonic signal and using a hyperbolic positioning method.
[0004] In the prior art, due to the complex structure of the transformer, the ultrasonic signal may be disturbed during the propagation process, resulting in a decrease in positioning accuracy, causing the problem of low accuracy in partial discharge detection of power transformers using ultrasonic positioning. Summary of the invention
[0005] To this end, the present invention provides a method for detecting partial discharge of a power transformer based on ultrasonic positioning, which can solve the problem of low accuracy of partial discharge detection of a power transformer based on ultrasonic positioning by adjusting the setting position of an ultrasonic sensor.
[0006] To achieve the above object, the present invention provides a method for detecting partial discharge of a power transformer based on ultrasonic positioning, the method comprising:
[0007] Acquire historical partial discharge detection data of the power transformer, analyze the historical partial discharge detection data, obtain historical data analysis results, and set an initial ultrasonic sensor group based on the historical data analysis results and structural characteristics of the power transformer;
[0008] Testing the initial ultrasonic sensor group to obtain a test result, and adjusting the initial ultrasonic sensor group based on the test result to obtain an adjusted ultrasonic sensor group;
[0009] Based on adjusting the ultrasonic sensor group, the power transformer is tested and the partial discharge position is determined according to the test results;
[0010] The distribution of a plurality of partial discharge positions is determined, and the adjustment ultrasonic sensor group is calibrated based on the distribution result to obtain the target ultrasonic sensor group.
[0011] Furthermore, the step of analyzing the historical partial discharge detection data includes:
[0012] Obtaining the historical partial discharge position of the power transformer and its corresponding historical discharge frequency based on the historical partial discharge detection data;
[0013] A first detection level corresponding to a plurality of the historical partial discharge locations is determined based on the plurality of the historical discharge frequencies.
[0014] Furthermore, the step of setting the initial ultrasonic sensor group based on the historical data analysis results and the structural characteristics of the power transformer includes:
[0015] Identifying several key components of the power transformer and their corresponding component locations;
[0016] Comparing the plurality of component positions with the plurality of historical partial discharge positions to obtain a comparison result;
[0017] Determine the non-overlapping position based on the comparison result, obtain historical partial discharge detection data corresponding to the non-overlapping position, and determine the second detection level corresponding to the non-overlapping position based on the analysis result of the historical partial discharge detection data;
[0018] determining a target detection level based on the comparison result, the first detection level, and the second detection level;
[0019] The initial ultrasonic sensor group is set based on the object detection level.
[0020] Further, the setting of the initial ultrasonic sensor group based on the target detection level includes:
[0021] Determine the target detection level corresponding to each position to be detected;
[0022] Determine the target number of ultrasonic sensors required at each position to be detected based on the target detection level, and set the ultrasonic sensor group according to the target number;
[0023] Wherein, the position to be detected is the union of several of the component positions and several of the historical partial discharge positions.
[0024] Further, the step of adjusting the initial ultrasonic sensor group based on the test result includes:
[0025] When the power transformer is not in operation, simulating a partial discharge signal, and receiving the simulated signal through the initial ultrasonic sensor group;
[0026] The simulated receiving effect of the simulated signal is analyzed, and the initial ultrasonic sensor group is adjusted according to the simulated receiving effect to obtain an adjusted ultrasonic sensor group.
[0027] Furthermore, the step of adjusting the initial ultrasonic sensor group according to the simulated receiving effect includes:
[0028] Determine an initial ultrasonic sensor corresponding to a poor simulated reception effect, and determine an adjustment strategy for the initial ultrasonic sensor according to the degree of the poor simulated reception effect;
[0029] The initial ultrasonic sensor group is adjusted according to the adjustment strategy to obtain an adjusted ultrasonic sensor group.
[0030] Furthermore, the step of detecting the power transformer based on adjusting the ultrasonic sensor group includes:
[0031] Collecting a number of actual ultrasonic signals, analyzing the number of actual ultrasonic signals, and identifying actual discharge signals according to the analysis results;
[0032] The actual discharge position is determined based on the time difference of the discharge signal received by the adjusted ultrasonic sensor at three known positions.
[0033] Furthermore, the step of determining the actual discharge position by adjusting the time difference of the ultrasonic sensor receiving the discharge signal based on the three known positions includes:
[0034] Calculating respectively the actual time difference corresponding to the adjustment of the ultrasonic sensors when the discharge signal reaches three known positions;
[0035] According to any actual time difference and the corresponding known position, the position coordinates of the actual discharge point are calculated using a triangulation positioning algorithm.
[0036] Further, the step of calibrating the ultrasonic sensor group based on the distribution result includes:
[0037] Based on the distribution of the plurality of partial discharge positions, drawing a partial discharge position distribution map;
[0038] The adjustment ultrasonic sensor group is calibrated according to the analysis result of the partial discharge position distribution map to obtain the target ultrasonic sensor group.
[0039] Furthermore, the step of calibrating the ultrasonic sensor group according to the analysis result of the partial discharge position distribution map includes:
[0040] Comparing the partial discharge position distribution map with the setting distribution map of the adjusted ultrasonic sensor group to obtain a comparison result;
[0041] The rationality of the setting of the adjustment ultrasonic sensor group is determined based on the comparison result. If it is unreasonable, the adjustment ultrasonic sensor group is adjusted according to the partial discharge position distribution map.
[0042] Compared with the prior art, the beneficial effect of the present invention is that, by analyzing the historical partial discharge detection data of the power transformer, the law of the discharge phenomenon in the transformer is deeply understood, and an accurate basis is provided for the design of the subsequent sensor group. The initial ultrasonic sensor group is set in combination with the structural characteristics of the power transformer to ensure that the sensor can efficiently monitor the key areas and potential discharge points inside the transformer. By actually testing the performance of the initial sensor group, possible blind spots or areas with insufficient detection are timely discovered and corrected, thereby improving the accuracy and reliability of the detection. Based on the adjustment of the test results, the layout of the sensor inside the transformer can be further optimized to ensure that each potential discharge point can be effectively covered, while reducing unnecessary sensor redundancy. The power transformer is detected by using the adjusted ultrasonic sensor group, and the partial discharge position can be located in real time and accurately, providing an important basis for subsequent fault analysis and processing. The optimized sensor layout and configuration can improve the detection efficiency. By determining the distribution of the partial discharge position, the performance and effect of the sensor group are further analyzed, and feedback is provided for subsequent calibration work. The detection accuracy and coverage of the target ultrasonic sensor group are improved, thereby improving the diagnostic capability of the partial discharge fault of the power transformer.
[0043] In particular, by combining the historical discharge frequency with the historical partial discharge location and assigning a first detection level to each location, the severity of the discharge phenomenon at each location can be evaluated more finely, which helps to improve the efficiency of fault prevention and handling. When setting the initial ultrasonic sensor group, the configuration of the sensor is optimized according to the first detection level of the historical partial discharge location. For areas with high detection levels, the density of sensors is increased or sensors with higher sensitivity are used to ensure that the discharge phenomenon in these areas can be monitored in a timely and accurate manner. The determination of the first detection level is based on the actual historical discharge data, which more accurately reflects the actual situation of the discharge phenomenon inside the transformer, and helps to improve the accuracy and reliability of detection.
[0044] In particular, by identifying the key components of the power transformer and their locations, monitoring is performed on those areas that have the greatest impact on the transformer performance, and comparing the component locations with historical partial discharge locations, key components or potential risk areas with historical discharge records are quickly discovered, and non-overlapping locations are determined and a second detection level is set based on their historical discharge data, thereby ensuring comprehensive coverage of all possible discharge areas inside the transformer. At the same time, the detection priority is set according to the frequency of discharge. Combining the first detection level and the second detection level, a comprehensive assessment of all discharge locations inside the transformer can be achieved, and monitoring priorities for different areas can be set based on the assessment results. The importance and risk level of each location can be determined more accurately, and the initial ultrasonic sensor group is set based on the final target detection level, which can ensure that sensor resources are reasonably allocated, high-risk areas are monitored in key areas, and unnecessary sensor redundancy is reduced. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] Figure 1 A schematic diagram of a flow chart of a method for detecting partial discharge of a power transformer based on ultrasonic positioning provided by an embodiment of the present invention;
[0046] Figure 2 A schematic diagram of a process for setting an initial ultrasonic sensor group in a method for detecting partial discharge of a power transformer based on ultrasonic positioning provided by an embodiment of the present invention;
[0047] Figure 3 A schematic diagram of a process of adjusting an initial ultrasonic sensor group in a method for detecting partial discharge of a power transformer based on ultrasonic positioning provided by an embodiment of the present invention;
[0048] Figure 4 A schematic diagram of a process for detecting a power transformer in a method for detecting partial discharge of a power transformer based on ultrasonic positioning provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0049] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.
[0050] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.
[0051] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the 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. Therefore, it should not be understood as a limitation on the present invention.
[0052] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" 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 a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0053] See also Figure 1 As shown, an embodiment of the present invention provides a method for detecting partial discharge of a power transformer based on ultrasonic positioning, the method comprising:
[0054] Step S100, acquiring historical partial discharge detection data of the power transformer, analyzing the historical partial discharge detection data to obtain historical data analysis results, and setting an initial ultrasonic sensor group based on the historical data analysis results and structural characteristics of the power transformer;
[0055] Step S200, testing the initial ultrasonic sensor group to obtain a test result, and adjusting the initial ultrasonic sensor group based on the test result to obtain an adjusted ultrasonic sensor group;
[0056] Step S300, detecting the power transformer based on adjusting the ultrasonic sensor group, and determining the partial discharge position according to the detection result;
[0057] Step S400: determine the distribution of a number of partial discharge positions, calibrate the adjustment ultrasonic sensor group based on the distribution result, and obtain the target ultrasonic sensor group.
[0058] Specifically, the embodiment of the present invention analyzes the historical partial discharge detection data of the power transformer, deeply understands the law of the discharge phenomenon in the transformer, provides an accurate basis for the design of the subsequent sensor group, sets the initial ultrasonic sensor group in combination with the structural characteristics of the power transformer, ensures that the sensor can efficiently monitor the key areas and potential discharge points inside the transformer, and promptly discovers and corrects the possible blind spots or areas with insufficient detection by actually testing the performance of the initial sensor group, thereby improving the accuracy and reliability of the detection. The adjustment based on the test results can further optimize the layout of the sensor inside the transformer to ensure that each potential discharge point can be effectively covered, while reducing unnecessary sensor redundancy. The power transformer is detected by using the adjusted ultrasonic sensor group, and the partial discharge position can be located in real time and accurately, providing an important basis for subsequent fault analysis and processing. The optimized sensor layout and configuration can improve the detection efficiency. By determining the distribution of the partial discharge position, the performance and effect of the sensor group are further analyzed, and feedback is provided for subsequent calibration work, thereby improving the detection accuracy and coverage of the target ultrasonic sensor group, thereby improving the diagnostic capability of the partial discharge fault of the power transformer.
[0059] Specifically, the step of analyzing the historical partial discharge detection data includes:
[0060] Obtaining the historical partial discharge position of the power transformer and its corresponding historical discharge frequency based on the historical partial discharge detection data;
[0061] A first detection level corresponding to a plurality of the historical partial discharge locations is determined based on the plurality of the historical discharge frequencies.
[0062] Specifically, the embodiment of the present invention determines the first detection levels corresponding to the plurality of historical partial discharge positions based on the plurality of historical discharge frequencies, including:
[0063] Comparing the historical discharge frequencies with a preset frequency range to obtain a comparison result;
[0064] When the historical discharge frequency is greater than the preset frequency range, the first detection level is high;
[0065] When the historical discharge frequency is within the preset frequency range, the first detection level is medium;
[0066] When the historical discharge frequency is less than the preset frequency range, the first detection level is low.
[0067] Specifically, the preset frequency range in the embodiment of the present invention is an average value ±1 of a number of the historical discharge frequencies.
[0068] Specifically, the embodiment of the present invention combines the historical discharge frequency with the historical partial discharge position and assigns a first detection level to each position, so as to more finely evaluate the severity of the discharge phenomenon at each position, which helps to improve the efficiency of fault prevention and handling. When setting the initial ultrasonic sensor group, the configuration of the sensor is optimized according to the first detection level of the historical partial discharge position. For areas with high detection levels, the density of sensors is increased or sensors with higher sensitivity are used to ensure that the discharge phenomenon in these areas can be monitored in a timely and accurate manner. The determination of the first detection level is based on the actual historical discharge data, which more accurately reflects the actual situation of the discharge phenomenon inside the transformer, and helps to improve the accuracy and reliability of detection.
[0069] See also Figure 2 As shown, the steps of setting the initial ultrasonic sensor group based on the historical data analysis results and the structural characteristics of the power transformer include:
[0070] Step S110, identifying several key components of the power transformer and their corresponding component positions;
[0071] Step S120, comparing the plurality of component positions with the plurality of historical partial discharge positions to obtain a comparison result;
[0072] Step S130, determining the non-overlapping position based on the comparison result, acquiring historical partial discharge detection data corresponding to the non-overlapping position, and determining a second detection level corresponding to the non-overlapping position based on the analysis result of the historical partial discharge detection data;
[0073] Step S140, determining a target detection level based on the comparison result, the first detection level, and the second detection level;
[0074] Step S150: setting the initial ultrasonic sensor group based on the target detection level.
[0075] Specifically, the step of determining the second detection level corresponding to the non-overlapping position based on the analysis result of the historical partial discharge detection data in the embodiment of the present invention includes:
[0076] Identifying the historical discharge frequency corresponding to the non-overlapping position;
[0077] Compare the historical discharge frequencies corresponding to the plurality of non-overlapping positions with a preset frequency range to obtain a comparison result;
[0078] When the historical discharge frequency is greater than the preset frequency range, the first detection level is high;
[0079] When the historical discharge frequency is within the preset frequency range, the first detection level is medium;
[0080] When the historical discharge frequency is less than the preset frequency range, the first detection level is low.
[0081] Specifically, the preset frequency range in the embodiment of the present invention is an average value ±1 of the historical discharge frequencies corresponding to the non-overlapping positions.
[0082] Specifically, the step of determining the target detection level based on the comparison result, the first detection level, and the second detection level in the embodiment of the present invention includes:
[0083] Determine the overlap position based on the comparison result, and determine the target detection level at the overlap position as high;
[0084] Determining a target detection level for non-overlapping positions among a plurality of the historical partial discharge positions based on the first detection level;
[0085] determining a target detection level at the non-overlapping positions among the plurality of component positions based on the second detection level;
[0086] The final target detection level is determined based on the above results.
[0087] Specifically, the embodiment of the present invention identifies the key components of the power transformer and their positions, monitors those areas that have the greatest impact on the transformer performance, compares the component positions with the historical partial discharge positions, quickly discovers the key components or potential risk areas with historical discharge records, determines the non-overlapping positions and sets the second detection level based on their historical discharge data, thereby ensuring comprehensive coverage of all possible discharge areas inside the transformer, and setting the detection priority according to the discharge frequency. Combined with the first detection level and the second detection level, a comprehensive evaluation of all discharge positions inside the transformer can be achieved, and the monitoring priority of different areas can be set according to the evaluation results, so that the importance and risk level of each position can be determined more accurately, and the initial ultrasonic sensor group can be set based on the final target detection level, so as to ensure that sensor resources are reasonably allocated, high-risk areas are monitored in key areas, and unnecessary sensor redundancy is reduced.
[0088] Specifically, the setting of the initial ultrasonic sensor group based on the target detection level includes:
[0089] Determine the target detection level corresponding to each position to be detected;
[0090] Determine the target number of ultrasonic sensors required at each position to be detected based on the target detection level, and set the ultrasonic sensor group according to the target number;
[0091] Wherein, the position to be detected is the union of several of the component positions and several of the historical partial discharge positions.
[0092] Specifically, the step of determining the target number of ultrasonic sensors required at each to-be-detected position based on the target detection level in the embodiment of the present invention includes:
[0093] Determine the to-be-detected area corresponding to each to-be-detected position based on the target detection level;
[0094] Determining a target detection range of the ultrasonic sensor;
[0095] The number of targets required at any position to be detected is determined based on any area to be detected and the target detection range.
[0096] Specifically, the step of determining the to-be-detected area corresponding to each to-be-detected position based on the target detection level in the embodiment of the present invention includes:
[0097] Determine a number of straight-line distances between any position to be detected and other positions to be detected;
[0098] Selecting a straight-line distance according to the target detection level to further determine a range radius;
[0099] The target detection range is determined with any position to be detected as the center and the range radius as the radius.
[0100] Specifically, the step of selecting the straight-line distance according to the target detection level in the embodiment of the present invention includes:
[0101] When the target detection level is high, the maximum value among several straight-line distances is selected;
[0102] When the target detection level is medium, the average of several straight-line distances is selected;
[0103] When the target detection level is low, the minimum value among several straight-line distances is selected.
[0104] Specifically, an embodiment of the present invention also includes identifying several target detection ranges, determining whether there is an undetected area of the transformer, identifying the area of the undetected area, and comparing it with the target detection range. When the area of the undetected area is smaller than the target detection range, an ultrasonic sensor is set at the center of the undetected area. When the area of the undetected area is greater than or equal to the target detection range, multiple ultrasonic sensors are set in the undetected area so that its detection range covers the undetected area.
[0105] Specifically, the embodiment of the present invention determines the number of ultrasonic sensors that need to be set by comparing the area of the undetected area with the target detection range. If the area of the undetected area is smaller than the target detection range, an ultrasonic sensor is set at the center of the area; if the area of the undetected area is greater than or equal to the target detection range, multiple ultrasonic sensors are set inside the area to ensure that their detection range can cover the entire undetected area. In this way, each part of the transformer is properly monitored, thereby improving the overall detection efficiency and accuracy.
[0106] See also Figure 3 As shown, the step of adjusting the initial ultrasonic sensor group based on the test result includes:
[0107] Step S210, simulating a partial discharge signal when the power transformer is not in operation, and receiving the simulated signal through the initial ultrasonic sensor group;
[0108] Step S220, analyzing the simulated reception effect of the simulated signal, and adjusting the initial ultrasonic sensor group according to the simulated reception effect to obtain an adjusted ultrasonic sensor group.
[0109] Specifically, the step of analyzing the analog reception effect of the analog signal in the embodiment of the present invention includes:
[0110] Identifying the similarity between the simulation signal and a preset discharge signal;
[0111] The simulated reception effect is determined based on a comparison result between the similarity and a preset similarity threshold.
[0112] Specifically, the real-time example similarity of the present invention can be calculated by cosine similarity;
[0113] The similarity threshold is 90%.
[0114] Specifically, in the embodiment of the present invention, when the similarity is less than the similarity threshold, the simulation reception effect is poor.
[0115] Specifically, the embodiment of the present invention simulates the partial discharge signal when the power transformer is not in operation, and tests the performance of the ultrasonic sensor group separately without being interfered by the complex electromagnetic environment and other noise sources in actual operation, which helps to accurately evaluate the response capability and sensitivity of the sensor to the discharge signal. By analyzing the receiving effect of the simulated signal, the blind spots or weak detection areas in the sensor group are identified, and the sensor position is adjusted accordingly, which helps to improve the accuracy and reliability of the entire detection system, ensure that the partial discharge phenomenon inside the transformer can be accurately captured, adjust the sensor group according to the simulated receiving effect, further optimize the layout and configuration of the sensor, and improve the overall performance of the system.
[0116] Specifically, the step of adjusting the initial ultrasonic sensor group according to the simulated receiving effect includes:
[0117] Determine an initial ultrasonic sensor corresponding to a poor simulated reception effect, and determine an adjustment strategy for the initial ultrasonic sensor according to the degree of the poor simulated reception effect;
[0118] The initial ultrasonic sensor group is adjusted according to the adjustment strategy to obtain an adjusted ultrasonic sensor group.
[0119] Specifically, the step of determining the adjustment strategy for the initial ultrasonic sensor according to the degree of poor simulated reception effect in the embodiment of the present invention includes:
[0120] comparing the similarity with a preset similarity range, and determining the degree of poor simulation effect according to the comparison result;
[0121] When the similarity is greater than the similarity range, the degree of poor simulation effect is low;
[0122] When the similarity is within the similarity range, the degree of poor simulation effect is medium;
[0123] When the similarity is less than the similarity range, the degree of poor simulation effect is high;
[0124] When the degree of poor simulation effect is low, repairing and adjusting the initial ultrasonic sensor;
[0125] When the degree of poor simulation effect is medium, the initial ultrasonic sensor is replaced and adjusted;
[0126] When the degree of poor simulation effect is high, the initial ultrasonic sensor is replaced and an ultrasonic sensor at the position is added.
[0127] See also Figure 4 As shown, the step of detecting the power transformer based on adjusting the ultrasonic sensor group includes:
[0128] Step S310, collecting a number of actual ultrasonic signals, analyzing the number of actual ultrasonic signals, and identifying an actual discharge signal according to the analysis result;
[0129] Step S320 , determining the actual discharge position based on the time difference when the ultrasonic sensor at the three known positions receives the discharge signal.
[0130] Specifically, the step of identifying the actual discharge signal according to the analysis result in the embodiment of the present invention includes:
[0131] Compare the actual ultrasonic signal with the preset discharge signal for similarity;
[0132] When the similarity result is greater than the preset similarity, it is determined to be an actual discharge signal.
[0133] Specifically, the preset similarity in the embodiment of the present invention is 95%.
[0134] Specifically, the step of determining the actual discharge position by adjusting the time difference of the ultrasonic sensor receiving the discharge signal based on three known positions includes:
[0135] Calculating respectively the actual time difference corresponding to the adjustment of the ultrasonic sensors when the discharge signal reaches three known positions;
[0136] According to any actual time difference and the corresponding known position, the position coordinates of the actual discharge point are calculated using a triangulation positioning algorithm.
[0137] Specifically, the embodiment of the present invention assumes that partial discharge detection is performed inside a power transformer. Three ultrasonic sensors A, B, and C are installed at different positions of the transformer, and their coordinates are A (0, 0, 0), B (3, 0, 0), and C (1.5, 2.6, 0) (unit: meter). The propagation speed of ultrasonic waves in transformer oil is assumed to be 1500 meters per second.
[0138] Time difference record:
[0139] The time when sensor A receives the discharge signal is t1.
[0140] The time when sensor B receives the discharge signal is t2, and the time difference with A is Δt_AB=t2-t1.
[0141] The time when sensor C receives the discharge signal is t3, the time difference with A is Δt_AC=t3-t1, and the time difference with B is Δt_BC=t3-t2 (but Δt_AB and Δt_AC are usually used for calculation).
[0142] Distance difference calculation:
[0143] d_AB=1500×Δt_AB
[0144] d_AC=1500×Δt_AC
[0145] Triangulation:
[0146] With A as the origin and B and C as two known points, the hyperbola positioning method is used (because the distance differences d_AB and d_AC determine two hyperbolas with A, B and A, C as foci respectively).
[0147] Solving the intersection of these two hyperbolas gives us the position coordinates (x, y, z) of the discharge point.
[0148] Specifically, the step of calibrating and adjusting the ultrasonic sensor group based on the distribution result includes:
[0149] Based on the distribution of the plurality of partial discharge positions, drawing a partial discharge position distribution map;
[0150] The adjustment ultrasonic sensor group is calibrated according to the analysis result of the partial discharge position distribution map to obtain the target ultrasonic sensor group.
[0151] Specifically, the step of calibrating and adjusting the ultrasonic sensor group according to the analysis result of the partial discharge position distribution map includes:
[0152] Comparing the partial discharge position distribution map with the setting distribution map of the adjusted ultrasonic sensor group to obtain a comparison result;
[0153] The rationality of the setting of the adjustment ultrasonic sensor group is determined based on the comparison result. If it is unreasonable, the adjustment ultrasonic sensor group is adjusted according to the partial discharge position distribution map.
[0154] Specifically, the step of determining the rationality of adjusting the settings of the ultrasonic sensor group based on the comparison result in the embodiment of the present invention includes:
[0155] Determining a first density in the partial discharge position distribution map and a second density of the adjustment ultrasonic sensor group;
[0156] When the difference between the first density and the second density is greater than a preset difference, it is determined to be unreasonable.
[0157] Specifically, the embodiment of the present invention adjusts the ultrasonic sensor group based on the partial discharge position distribution map, including: adjusting the ultrasonic sensor group so that the difference between the first density and the second density is less than or equal to the preset difference. The adjustment strategy includes but is not limited to increasing or decreasing the number of sensors, changing the sensor position or rearranging the sensor group to optimize the detection effect. In this way, it can be ensured that the layout of the ultrasonic sensor corresponds more accurately to the actual situation of partial discharge of the power transformer, thereby improving the accuracy and efficiency of detection.
[0158] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand 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.
[0159] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims
1. A method for detecting partial discharge of a power transformer based on ultrasonic positioning, characterized in that: include: Acquire historical partial discharge detection data of the power transformer, analyze the historical partial discharge detection data, obtain historical data analysis results, and set an initial ultrasonic sensor group based on the historical data analysis results and structural characteristics of the power transformer; Testing the initial ultrasonic sensor group to obtain a test result, and adjusting the initial ultrasonic sensor group based on the test result to obtain an adjusted ultrasonic sensor group; Based on adjusting the ultrasonic sensor group, the power transformer is tested and the partial discharge position is determined according to the test results; The distribution of a plurality of partial discharge positions is determined, and the adjustment ultrasonic sensor group is calibrated based on the distribution result to obtain the target ultrasonic sensor group.
2. The method for detecting partial discharge of a power transformer based on ultrasonic positioning according to claim 1, characterized in that: The step of analyzing the historical partial discharge detection data comprises: Obtaining the historical partial discharge position of the power transformer and its corresponding historical discharge frequency based on the historical partial discharge detection data; A first detection level corresponding to a plurality of the historical partial discharge locations is determined based on the plurality of the historical discharge frequencies.
3. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 2, characterized in that: The step of setting the initial ultrasonic sensor group based on the historical data analysis results and the structural characteristics of the power transformer includes: Identifying several key components of the power transformer and their corresponding component locations; Comparing the plurality of component positions with the plurality of historical partial discharge positions to obtain a comparison result; Determine the non-overlapping position based on the comparison result, obtain historical partial discharge detection data corresponding to the non-overlapping position, and determine the second detection level corresponding to the non-overlapping position based on the analysis result of the historical partial discharge detection data; determining a target detection level based on the comparison result, the first detection level, and the second detection level; The initial ultrasonic sensor group is set based on the object detection level.
4. The method for detecting partial discharge of a power transformer based on ultrasonic positioning according to claim 3 is characterized in that: The setting of the initial ultrasonic sensor group based on the target detection level comprises: Determine the target detection level corresponding to each position to be detected; Determine the target number of ultrasonic sensors required at each position to be detected based on the target detection level, and set the ultrasonic sensor group according to the target number; Wherein, the position to be detected is the union of several of the component positions and several of the historical partial discharge positions.
5. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 4 is characterized in that: The step of adjusting the initial ultrasonic sensor group based on the test result includes: When the power transformer is not in operation, simulating a partial discharge signal, and receiving the simulated signal through the initial ultrasonic sensor group; The simulated receiving effect of the simulated signal is analyzed, and the initial ultrasonic sensor group is adjusted according to the simulated receiving effect to obtain an adjusted ultrasonic sensor group.
6. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 5, characterized in that: The step of adjusting the initial ultrasonic sensor group according to the simulated receiving effect comprises: Determine an initial ultrasonic sensor corresponding to a poor simulated reception effect, and determine an adjustment strategy for the initial ultrasonic sensor according to the degree of the poor simulated reception effect; The initial ultrasonic sensor group is adjusted according to the adjustment strategy to obtain an adjusted ultrasonic sensor group.
7. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 6, characterized in that: The step of detecting the power transformer based on adjusting the ultrasonic sensor group includes: Collecting a number of actual ultrasonic signals, analyzing the number of actual ultrasonic signals, and identifying actual discharge signals according to the analysis results; The actual discharge position is determined based on the time difference of the discharge signal received by the adjusted ultrasonic sensor at three known positions.
8. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 7, characterized in that: The step of determining the actual discharge position by adjusting the time difference of the ultrasonic sensor receiving the discharge signal based on three known positions comprises: Calculating respectively the actual time difference corresponding to the adjustment of the ultrasonic sensors when the discharge signal reaches three known positions; According to any actual time difference and the corresponding known position, the position coordinates of the actual discharge point are calculated using a triangulation positioning algorithm.
9. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 8, characterized in that: The step of calibrating and adjusting the ultrasonic sensor group based on the distribution result includes: Based on the distribution of the plurality of partial discharge positions, drawing a partial discharge position distribution map; The adjustment ultrasonic sensor group is calibrated according to the analysis result of the partial discharge position distribution map to obtain the target ultrasonic sensor group.
10. The method for detecting partial discharge of power transformer based on ultrasonic positioning according to claim 9, characterized in that: The step of calibrating the ultrasonic sensor group according to the analysis result of the partial discharge position distribution map includes: Comparing the partial discharge position distribution map with the setting distribution map of the adjusted ultrasonic sensor group to obtain a comparison result; The rationality of the setting of the adjustment ultrasonic sensor group is determined based on the comparison result. If it is unreasonable, the adjustment ultrasonic sensor group is adjusted according to the partial discharge position distribution map.
Citation Information
Patent Citations
High-frequency local discharge detection system and method
CN110658424A
Transformer partial discharge detection system and method
CN115267451A
Method and system for correcting online partial discharge detection result
CN116381429A
Partial discharge identification method and digital twin system
CN118226211A
Automatic data acquisition method
CN118362847A