GIS combined electric appliance operation state evaluation method based on ultrahigh frequency and ultrasonic signals

Abstract

The invention provides an ultrahigh frequency and ultrasonic signal-based GIS combined electric appliance operation state evaluation method, which comprises the following steps of: respectively establishing ultrahigh frequency and ultrasonic partial discharge signal-based GIS equipment operation state evaluation index sets by extracting ultrahigh frequency and ultrasonic partial discharge detection PRPS and PRPD map characteristic parameters; determining the weight of each evaluation factor and a corresponding membership function, constructing a GIS combined electrical equipment operation state two-stage fuzzy comprehensive evaluation model, calculating a comprehensive evaluation grade vector, and evaluating the GIS combined electrical equipment operation state grade according to a maximum membership degree principle; according to the method, various characteristic information of ultrahigh frequency and ultrasonic partial discharge detection is integrated, the operation state of GIS combined electrical equipment can be evaluated, the operation state of the equipment can be visually and accurately mastered, and a scientific basis is provided for formulating a more reasonable equipment maintenance strategy; therefore, the insulation fault of the GIS combined electrical equipment can be effectively prevented, the service life of the GIS equipment is prolonged, and safe and stable operation of a power supply system is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of live detection of electric power equipment, and in particular to a method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals. Background Art

[0002] GIS combined electrical equipment has been widely used in power systems due to its compact structure, small footprint, dust-proof, and low maintenance workload. However, during the assembly and operation of the equipment, some latent defects will inevitably occur, inducing partial discharge and causing insulation degradation. Since GIS equipment is a purely sealed structure, it is difficult to carry out various preventive tests to promptly discover potential defects like traditional open equipment. GIS equipment has a complex structure and high working field strength. Once insulation defects occur inside, it is very easy to cause equipment failure, causing large-scale power outages and huge economic losses.

[0003] Therefore, effectively detecting the partial discharge signals generated by the insulation defects inside the GIS equipment, combining the characteristic spectra of UHF and ultrasonic signals, analyzing the characteristics of different discharge development stages of typical insulation defect types, extracting the characteristic parameters of the typical insulation defect development process, characterizing the development and change laws of partial discharge defects, and realizing the evaluation of the severity of partial discharge of typical insulation defects can provide a favorable basis and guarantee for formulating reasonable maintenance strategies and ensuring the safe and stable operation of GIS equipment. Assessing the severity of partial discharge of equipment and reliably warning of faults are of great significance to ensuring the safe and reliable operation of GIS.

[0004] At present, research on the evaluation of the operating status of GIS combination electrical appliances has been widely carried out both at home and abroad. Accurately evaluating the operating status of GIS combination electrical appliances is regarded as the primary prerequisite for realizing the status maintenance of GIS equipment and ensuring its safe and reliable operation.

[0005] For example, patent CN108985645A discloses a GIS operation status evaluation method based on big data analysis. It constructs a multi-dimensional hierarchical GIS evaluation system based on the characteristics of GIS itself, and determines the evaluation criteria for the GIS operation status; establishes tasks through the Map / Reduce parallel computing framework of the Hadoop platform; uses the CRITIC method, hierarchical analysis method and grey correlation theory to evaluate the weights of various evaluation factors in the GIS evaluation system in the Map task stage; uses the cooperative game theory to integrate the evaluation results of the three algorithms to obtain the combined weight vector of each evaluation factor; calculates the correlation coefficient matrix of each evaluation factor, combines the combined weight vector of each evaluation factor, obtains the evaluation vector, and determines the operation status of the GIS.

[0006] However, the GIS operating status evaluation factors of this invention patent include insulation structure, circuit breakers, isolating and grounding switches, and maintenance records. Due to the different specifications and models of GIS equipment, the internal insulation, circuit breakers, and isolating switch structures are different. There is a risk of inaccuracy in evaluating the operating status of GIS using the above evaluation factors.

[0007] Patent CN112966630B discloses a method, system and equipment for evaluating the operating status of ultra-high voltage GIS switchgear. The invention extracts characteristic parameters of partial discharge signals, vibration signals, coil current signals and infrared spectra, and constructs a normal cloud membership function to calculate the membership value of the evaluation index to the operating status. The comprehensive weight coefficient is calculated in layers, and fuzzy operations are performed using the layered membership value matrix and the weight coefficient matrix, and finally the online detection and comprehensive evaluation of the operating status of ultra-high voltage GIS switchgear are evaluated.

[0008] However, because GIS equipment has a compact structure and small space, this invention patent requires the installation of multiple sensors for data collection, which brings inconvenience to production site inspection personnel in detecting, analyzing and evaluating the operating status of GIS equipment.

[0009] Patent CN103400308B discloses a method and system for online detection of the operating status of GIS equipment. The invention obtains the characteristic value, baseline characteristic value and weight coefficient corresponding to the characteristic value of the operating status of the GIS equipment, performs weighted threshold analysis, weighted trend analysis and weighted statistical analysis on the operating status of the GIS equipment, determines the operating status of the GIS equipment according to the results of the above three analyses, and performs comprehensive online detection of the GIS equipment in time and space.

[0010] However, the characteristic values ​​of the operating status of the GIS equipment described in this invention patent are easily affected by environmental factors, which affects the accuracy of the evaluation of the operating status of the GIS equipment.

[0011] In summary, due to the complex structure and wide variety of GIS combined electrical equipment, the internal insulation, circuit breakers, and disconnector structures are different. The installation of multiple online detection components is easily disturbed by environmental factors on the production site, affecting the parameters of the equipment operation status evaluation index, resulting in low accuracy in the GIS equipment operation status evaluation. Therefore, it is very necessary to explore more effective GIS equipment operation status evaluation methods, accurately grasp the GIS equipment operation status, provide a scientific basis for formulating scientific and reasonable maintenance strategies, and improve the operation reliability of GIS combined electrical equipment. Summary of the invention

[0012] According to the technical problems raised above, a method for evaluating the operating status of GIS combined electrical equipment based on ultra-high frequency and ultrasonic signals is provided. The present invention integrates multiple characteristic information of ultra-high frequency and ultrasonic partial discharge detection, can evaluate the operating status of GIS combined electrical equipment, intuitively and accurately grasp the operating status of the equipment, and provide a scientific basis for formulating more reasonable equipment maintenance strategies. This can effectively prevent the occurrence of insulation failures in GIS combined electrical equipment, extend the service life of GIS equipment, and ensure the safe and stable operation of the power supply system.

[0013] The technical means adopted by the present invention are as follows:

[0014] A method for evaluating the operating status of GIS combined electrical appliances based on ultra-high frequency and ultrasonic signals, comprising:

[0015] S1. Use the UHF detection method to conduct live detection on GIS combined electrical appliances, extract the UHF PRPD spectrum statistical feature quantities that characterize the development process of insulation defects in GIS equipment, and establish a set of UHF GIS operating status evaluation indicators;

[0016] S2. Use ultrasonic testing method to conduct live testing on GIS combined electrical appliances, extract ultrasonic signal characteristic parameters that characterize the development process of insulation defects in GIS equipment, and establish an ultrasonic GIS operating status evaluation index set;

[0017] S3. Establish a fuzzy comment set to represent the evaluation of the characteristic parameter indicators of the ultra-high frequency and ultrasonic detection signals of GIS combination electrical appliances;

[0018] S4. Calculate the evaluation level vector based on the operation status of the UHF GIS combination electrical appliance;

[0019] S5. Calculate the evaluation level vector of the operation status of the ultrasonic GIS combination electrical appliance;

[0020] S6. Calculate the comprehensive evaluation result based on the calculated UHF-based GIS combination electrical equipment operating status evaluation level vector and the ultrasonic-based GIS combination electrical equipment operating status evaluation level vector, and evaluate the operating status level of the GIS combination electrical equipment.

[0021] Furthermore, step S1 specifically includes:

[0022] S11. Calculate the discharge quantity q in the UHF PRPD detection spectrum in the i-th phase in the positive and negative half cycles The probability of occurrence p i , the discharge phase The mean μ and standard deviation σ of

[0023] S12, calculate the positive and negative half cycles S that characterize the difference in the shape of the PRPD detection spectrum k(skewness), calculated as follows:

[0024]

[0025] Among them, the skewness S k It reflects the left-right skewness of the PRPD spectrum shape relative to the normal distribution;

[0026] S13. Calculate the steepness K u , the calculation formula is as follows:

[0027]

[0028] Among them, the steepness K u The degree of protrusion of the PRPD spectrum shape relative to the normal distribution shape;

[0029] S14, calculate the number of local peak points, at the contour point To determine whether there is a local peak, the determination formula is as follows:

[0030] and

[0031]

[0032] Because the map The difference equation is simplified to (y i -y i-1 )>0,(y i+1 -y i )>0; where the number of local peak points is used to describe the number of local peaks on the spectrum profile;

[0033] S15. Calculate the mutual correlation coefficient Cc. The calculation formula is as follows:

[0034]

[0035] Among them, the mutual correlation coefficient Cc is used to describe the correlation between the discharge strength and phase distribution in the positive and negative half-cycles of the PRPD spectrum; They represent the discharge amount on the positive and negative half-cycle phase i of the PRPD spectrum respectively;

[0036] S16. Establish an evaluation index system for the operation status of UHF GIS, which is composed of the positive half-cycle steepness Ku+, the negative half-cycle steepness Ku-, the positive half-cycle peak number Pe+, the negative half-cycle peak number Pe+, the positive half-cycle skewness Sk+, the negative half-cycle skewness Sk-, and the mutual correlation coefficient Cc, and establish an evaluation index set U based on the operation status of UHF GIS. 特高频 =[Ku + , Ku - , 1 / C C , Sk- , Sk + ,Pe + ,Pe - ].

[0037] Further, step S2 specifically includes:

[0038] A set of ultrasonic GIS operation status evaluation indicators consisting of effective value, cycle peak value, 50Hz correlation value, and 100Hz correlation value is established, which is denoted as indicator set U 超声波 =[effective value, cycle peak value, 50Hz related value, 100Hz related value].

[0039] Further, step S3 specifically includes:

[0040] Establish a fuzzy comment set as follows:

[0041] H = [h1, h2, h3, h4]

[0042] Among them, h1 represents that the equipment operation status is "normal", h2 represents that the equipment operation status is "caution", h3 represents that the equipment operation status is "abnormal", and h4 represents that the equipment operation status is "warning".

[0043] Further, step S4 specifically includes:

[0044] S41. Calculate the weight distribution matrix B according to the importance of the characteristic parameters of the UHF PRPD spectrum of the combined electrical appliance. 特高频 ,as follows:

[0045]

[0046] S42, calculate the weight matrix A of the characteristic parameters of the UHF partial discharge detection PRPD spectrum 特高频 ,as follows:

[0047] A 特高频 =(0.2684 0.1450 0.0757 0.0757 0.145 0.145 0.145)

[0048] S43, using trapezoidal and trigonometric functions as fuzzy mapping relationship functions, calculate the UHF characteristic parameter membership function of each GIS device in the four operating states of normal, attention, abnormal and warning, as follows:

[0049]

[0050]

[0051] Among them, u irepresents the i-th characteristic quantity in the UHF GIS operation status evaluation index set, p i1 represents the membership of the i-th characteristic quantity to the normal operation state, p i2 represents the membership of the i-th feature quantity to the attention operation state, p i3 represents the membership degree of the i-th feature quantity to the abnormal operation state, p i4 represents the membership of the i-th characteristic quantity to the alert operation state; a, b, c, d correspond to the standard values ​​of normal, caution, abnormal and alert states respectively;

[0052] S44, based on the calculated UHF characteristic parameter membership functions of each GIS device in the four operating states of normal, attention, abnormal and warning, calculate the UHF fuzzy evaluation matrix P 特高频 ,as follows:

[0053]

[0054] S45, the characteristic parameter weight matrix A of the UHF partial discharge detection signal 特高频 Based on UHF fuzzy evaluation matrix P 特高频 The evaluation level vector of the operating status of UHF GIS combined electrical appliances is obtained as follows:

[0055] H 特高频 =A 特高频 ×P 特高频 .

[0056] Furthermore, step S5 specifically includes:

[0057] S51, construct a weight distribution matrix B according to the importance of the characteristic parameters of the effective value, cycle peak value, 50Hz correlation value and 100Hz correlation value of the ultrasonic detection signal 超声波 ,as follows:

[0058]

[0059] S52, calculating the weight matrix A of the characteristic parameters of the ultrasonic partial discharge detection signal 超声波 ,as follows:

[0060] A 超声波 =(0.42640.38750.12400.0621)

[0061] S53, using trapezoidal and trigonometric functions as fuzzy mapping relationship functions, according to the formula in step S43, the membership function of the ultrasonic characteristic parameters of each GIS device in the four operating states of normal, attention, abnormal and warning is obtained, and according to the membership function, the ultrasonic fuzzy evaluation matrix P is calculated based on the ultrasonic fuzzy evaluation matrix P. 超声波 ,as follows:

[0062]

[0063] S54, the characteristic parameter weight matrix A of the ultrasonic partial discharge detection signal 超声波 Based on ultrasonic fuzzy evaluation matrix P 超声波 The evaluation level vector of the operating status of ultrasonic GIS combination electrical appliances is obtained as follows:

[0064] H 特高频 =A 特高频 ×P 特高频 .

[0065] Further, step S6 specifically includes:

[0066] S61, based on the UHF GIS combined electrical equipment operating status evaluation level vector H 特高频 And the evaluation level vector H of the operation status of ultrasonic GIS combined electrical appliances 超声波 The comprehensive evaluation results are as follows:

[0067]

[0068] S62, based on the calculated comprehensive evaluation level vector H 综合 =[h1, h2, h3, h4], according to the maximum membership principle h s =max{h1, h2, h3, h4}, evaluates the operating status level of GIS combined electrical equipment.

[0069] Compared with the prior art, the present invention has the following advantages:

[0070] 1. The present invention provides a method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals. By extracting the characteristic parameters of the PRPS and PRPD spectra of ultra-high frequency and ultrasonic partial discharge detection, a set of evaluation indicators for the operating status of GIS equipment based on ultra-high frequency and ultrasonic partial discharge signals is established respectively, the weight of each evaluation factor and the corresponding membership function are determined, a two-level fuzzy comprehensive evaluation model for the operating status of GIS combined electrical equipment is constructed, the comprehensive evaluation grade vector is calculated, and the operating status grade of the GIS combined electrical appliance is evaluated according to the maximum membership principle.

[0071] 2. The present invention provides a method for evaluating the operating status of GIS combined electrical appliances based on ultra-high frequency and ultrasonic signals, which can timely and accurately discover potential defects of GIS equipment, and carry out maintenance to eliminate defects before local discharge develops into insulation breakdown, effectively preventing insulation breakdown and short circuit of GIS equipment, and avoiding large-scale power outages. It improves the pertinence of equipment maintenance, reduces the cost of equipment operation and maintenance, and reduces losses caused by accidents, and has good economic and social benefits.

[0072] Based on the above reasons, the present invention can be widely promoted in the field of live detection of power equipment and the like. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0074] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0075] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0076] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0077] like Figure 1 As shown, the present invention provides a method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals, comprising:

[0078] S1. Use the UHF detection method to conduct live detection on GIS combined electrical appliances, extract the UHF PRPD spectrum statistical feature quantities that characterize the development process of insulation defects in GIS equipment, and establish a set of UHF GIS operating status evaluation indicators;

[0079] S2. Use ultrasonic testing method to conduct live testing on GIS combined electrical appliances, extract ultrasonic signal characteristic parameters that characterize the development process of insulation defects in GIS equipment, and establish an ultrasonic GIS operating status evaluation index set;

[0080] S3. Establish a fuzzy comment set to represent the evaluation of the characteristic parameter indicators of the ultra-high frequency and ultrasonic detection signals of GIS combination electrical appliances;

[0081] S4. Calculate the evaluation level vector based on the operation status of the UHF GIS combination electrical appliance;

[0082] S5. Calculate the evaluation level vector of the operation status of the ultrasonic GIS combination electrical appliance;

[0083] S6. Calculate the comprehensive evaluation result based on the calculated UHF-based GIS combination electrical equipment operating status evaluation level vector and the ultrasonic-based GIS combination electrical equipment operating status evaluation level vector, and evaluate the operating status level of the GIS combination electrical equipment.

[0084] In specific implementation, as a preferred embodiment of the present invention, step S1 specifically includes:

[0085] S11. Use the UHF method to perform partial discharge detection on GIS combined electrical equipment. Place the UHF sensor on the pot-type insulator, open the detection channel connected to the UHF sensor, perform detection in PRPD mode, and save the PRPD detection map.

[0086] S12, calculate the discharge amount q in the UHF PRPD detection spectrum in the i-th phase in the positive and negative half cycles The probability of occurrence p i , the discharge phase The mean μ and standard deviation σ of

[0087] S13, calculate the positive and negative half-cycle S that characterizes the difference in the shape of the PRPD detection spectrum k (skewness), calculated as follows:

[0088]

[0089] Among them, the skewness S k It reflects the left-right skewness of the PRPD spectrum shape relative to the normal distribution;

[0090] S14. Calculate the steepness K u , the calculation formula is as follows:

[0091]

[0092] Among them, the steepness K uThe degree of protrusion of the PRPD spectrum shape relative to the normal distribution shape;

[0093] S15, calculate the number of local peak points, at the contour point To determine whether there is a local peak, the determination formula is as follows:

[0094] and

[0095]

[0096] Because the map The difference equation is simplified to (y i -y i-1 )>0,(y i+1 -y i )>0; where the number of local peak points is used to describe the number of local peaks on the spectrum profile;

[0097] S16. Calculate the mutual correlation coefficient Cc. The calculation formula is as follows:

[0098]

[0099] Among them, the mutual correlation coefficient Cc is used to describe the correlation between the discharge strength and phase distribution in the positive and negative half-cycles of the PRPD spectrum; They represent the discharge amount on the positive and negative half-cycle phase i of the PRPD spectrum respectively;

[0100] S17. Establish an evaluation index system for the operation status of UHF GIS, which is composed of the positive half-cycle steepness Ku+, the negative half-cycle steepness Ku-, the positive half-cycle peak number Pe+, the negative half-cycle peak number Pe+, the positive half-cycle skewness Sk+, the negative half-cycle skewness Sk-, and the mutual correlation coefficient Cc, and establish an evaluation index set U based on the operation status of UHF GIS. 特高频 =[Ku + , Ku - , 1 / C C , Sk - , Sk + ,Pe + ,Pe - ].

[0101] In this embodiment, according to the positive and negative half cycles P of the PRPD spectrum i + , P i - , μ + , μ - , σ + , σ - The value of the positive and negative half-cycle S that characterizes the difference in the shape of the PRPD detection spectrum of the GIS combined electrical appliance is calculated. k(skewness), K u (steepness), P e The statistical characteristic parameter of local peak points and the statistical characteristic parameter of Cc (cross-correlation coefficient) that characterizes the difference between the positive and negative half-cycle contours of the PRPD detection spectrum of the GIS combination electrical appliance are used.

[0102] In specific implementation, as a preferred embodiment of the present invention, step S2 specifically includes:

[0103] In this embodiment, the ultrasonic method is used to perform partial discharge detection on GIS combined electrical equipment. The detection channel connected to the ultrasonic sensor is opened for testing, and the test time for each measuring point is not less than 15s. The effective value, peak value, 50 / 100Hz correlation and other test data are recorded. An ultrasonic GIS operation status evaluation index set consisting of effective value, period peak value, 50Hz correlation value, and 100Hz correlation value is established, which is recorded as index set U 超声波 =[effective value, cycle peak value, 50Hz related value, 100Hz related value].

[0104] In specific implementation, as a preferred embodiment of the present invention, step S3 specifically includes:

[0105] Establish a fuzzy comment set as follows:

[0106] H = [h1, h2, h3, h4]

[0107] Among them, h1 represents that the equipment operation status is "normal", in which the equipment can maintain normal test and inspection cycles. h2 represents that the equipment operation status is "caution", in which the equipment can continue to operate, but the monitoring during operation should be strengthened. h3 represents that the equipment operation status is "abnormal", in which the equipment should be monitored and power outages and maintenance should be arranged in real time. h4 represents that the equipment operation status is "warning", in which the equipment should be scheduled for power outages and maintenance as soon as possible.

[0108] In specific implementation, as a preferred embodiment of the present invention, step S4 specifically includes:

[0109] S41. Calculate the weight distribution matrix B according to the importance of the characteristic parameters of the UHF PRPD spectrum of the combined electrical appliance. 特高频 ,as follows:

[0110]

[0111] S42, calculate the weight matrix A of the characteristic parameters of the UHF partial discharge detection PRPD spectrum 特高频 ,as follows:

[0112] A 特高频=(0.2684 0.1450 0.0757 0.0757 0.145 0.145 0.145)

[0113] S43, using trapezoidal and trigonometric functions as fuzzy mapping relationship functions, calculate the UHF characteristic parameter membership function of each GIS device in the four operating states of normal, attention, abnormal and warning, as follows:

[0114]

[0115]

[0116] Among them, u i represents the i-th characteristic quantity in the UHF GIS operation status evaluation index set, p i1 represents the membership of the i-th characteristic quantity to the normal operation state, p i2 represents the membership of the i-th feature quantity to the attention operation state, p i3 represents the membership degree of the i-th feature quantity to the abnormal operation state, p i4 represents the membership of the i-th characteristic quantity to the alert operation state; a, b, c, d correspond to the standard values ​​of normal, caution, abnormal and alert states respectively;

[0117] S44, based on the calculated UHF characteristic parameter membership functions of each GIS device in the four operating states of normal, attention, abnormal and warning, calculate the UHF fuzzy evaluation matrix P 特高频 ,as follows:

[0118]

[0119] S45, the characteristic parameter weight matrix A of the UHF partial discharge detection signal 特高频 Based on UHF fuzzy evaluation matrix P 特高频 The evaluation level vector of the operating status of UHF GIS combined electrical appliances is obtained as follows:

[0120]

[0121] In specific implementation, as a preferred embodiment of the present invention, step S5 specifically includes:

[0122] S51, construct a weight distribution matrix B according to the importance of the characteristic parameters of the effective value, cycle peak value, 50Hz correlation value and 100Hz correlation value of the ultrasonic detection signal 超声波 ,as follows:

[0123]

[0124] S52, calculating the weight matrix A of the characteristic parameters of the ultrasonic partial discharge detection signal 超声波 ,as follows:

[0125] A 超声波 =(0.4264 0.3875 0.1240 0.0621)

[0126] S53, using trapezoidal and trigonometric functions as fuzzy mapping relationship functions, according to the formula in step S43, the membership function of the ultrasonic characteristic parameters of each GIS device in the four operating states of normal, attention, abnormal and warning is obtained, and according to the membership function, the ultrasonic fuzzy evaluation matrix P is calculated based on the ultrasonic fuzzy evaluation matrix P. 超声波 ,as follows:

[0127]

[0128] S54, the characteristic parameter weight matrix A of the ultrasonic partial discharge detection signal 超声波 Based on ultrasonic fuzzy evaluation matrix P 超声波 The evaluation level vector of the operating status of ultrasonic GIS combination electrical appliances is obtained as follows:

[0129]

[0130] In specific implementation, as a preferred embodiment of the present invention, step S6 specifically includes:

[0131] S61, based on the UHF GIS combined electrical equipment operating status evaluation level vector H 特高频 And the evaluation level vector H of the operation status of ultrasonic GIS combined electrical appliances 超声波 The comprehensive evaluation results are as follows:

[0132]

[0133] S62, based on the calculated comprehensive evaluation level vector H 综合 =[h1, h2, h3, h4], according to the maximum membership principle h s = max{h1, h2, h3, h4}, evaluate the operating status level of GIS combined electrical equipment. The four states of "normal", "attention", "abnormal" and "warning" are used as the comprehensive evaluation results of the GIS operating status to intuitively and accurately grasp the equipment operating status. In this embodiment, the GIS equipment operating status is evaluated as level s.

[0134] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating the operating status of GIS combined electrical appliances based on ultra-high frequency and ultrasonic signals, characterized in that: include: S1. Use the UHF detection method to conduct live detection on GIS combined electrical appliances, extract the UHF PRPD spectrum statistical feature quantities that characterize the development process of insulation defects in GIS equipment, and establish a set of UHF GIS operating status evaluation indicators; S2. Use ultrasonic testing method to conduct live testing on GIS combined electrical appliances, extract ultrasonic signal characteristic parameters that characterize the development process of insulation defects in GIS equipment, and establish an ultrasonic GIS operating status evaluation index set; S3. Establish a fuzzy comment set to represent the evaluation of the characteristic parameter indicators of the ultra-high frequency and ultrasonic detection signals of GIS combination electrical appliances; S4. Calculate the evaluation level vector based on the operation status of the UHF GIS combination electrical appliance; S5. Calculate the evaluation level vector of the operation status of the ultrasonic GIS combination electrical appliance; S6. Calculate the comprehensive evaluation result based on the calculated UHF-based GIS combination electrical equipment operating status evaluation level vector and the ultrasonic-based GIS combination electrical equipment operating status evaluation level vector, and evaluate the operating status level of the GIS combination electrical equipment.

2. The method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals according to claim 1 is characterized in that: Step S1 specifically includes: S11. Calculate the discharge quantity q in the UHF PRPD detection spectrum in the i-th phase in the positive and negative half cycles The probability of occurrence p i , the discharge phase The mean μ and standard deviation σ of S12, calculate the positive and negative half-cycle S that characterizes the difference in the shape of the PRPD detection spectrum k (skewness), calculated as follows: Among them, the skewness S k It reflects the left-right skewness of the PRPD spectrum shape relative to the normal distribution; S13. Calculate the steepness K u , the calculation formula is as follows: Among them, the steepness K u The degree of protrusion of the PRPD spectrum shape relative to the normal distribution shape; S14, calculate the number of local peak points, at the contour point To determine whether there is a local peak, the determination formula is as follows: and Because the map The difference equation simplifies to (y i -y i-1 )>0,(y i+1 -y i )>0; where the number of local peak points is used to describe the number of local peaks on the spectrum profile; S15. Calculate the mutual correlation coefficient Cc. The calculation formula is as follows: Among them, the mutual correlation coefficient Cc is used to describe the correlation between the discharge strength and phase distribution in the positive and negative half-cycles of the PRPD spectrum; They represent the discharge amount on the positive and negative half-cycle phase i of the PRPD spectrum respectively; S16. Establish an evaluation index system for the operation status of UHF GIS, which is composed of the positive half-cycle steepness Ku+, the negative half-cycle steepness Ku-, the positive half-cycle peak number Pe+, the negative half-cycle peak number Pe+, the positive half-cycle skewness Sk+, the negative half-cycle skewness Sk-, and the mutual correlation coefficient Cc, and establish an evaluation index set U based on the operation status of UHF GIS. 特高频 =[Ku + , Ku - , 1 / C C , Sk - , Sk + ,Pe + ,Pe - ].

3. The method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals according to claim 1 is characterized in that: Step S2 specifically includes: A set of ultrasonic GIS operation status evaluation indicators consisting of effective value, cycle peak value, 50Hz correlation value, and 100Hz correlation value is established, which is denoted as indicator set U 超声波 =[effective value, cycle peak value, 50Hz related value, 100Hz related value].

4. The method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals according to claim 1 is characterized in that: Step S3 specifically includes: Establish a fuzzy comment set as follows: H = [h1, h2, h3, h4] Among them, h1 represents that the equipment operation status is "normal", h2 represents that the equipment operation status is "caution", h3 represents that the equipment operation status is "abnormal", and h4 represents that the equipment operation status is "warning".

5. The method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals according to claim 1 is characterized in that: Step S4 specifically includes: S41. Calculate the weight distribution matrix B according to the importance of the characteristic parameters of the UHF PRPD spectrum of the combined electrical appliance. 特高频 ,as follows: S42, calculate the weight matrix A of the characteristic parameters of the UHF partial discharge detection PRPD spectrum 特高频 ,as follows: A 特高频 ＝(0.2684 0.1450 0.0757 0.0757 0.145 0.145 0.145) S43, using trapezoidal and trigonometric functions as fuzzy mapping relationship functions, calculate the UHF characteristic parameter membership function of each GIS device in the four operating states of normal, attention, abnormal and warning, as follows: Among them, u i represents the i-th characteristic value in the UHF GIS operation status evaluation index set, p i1 represents the membership of the i-th characteristic quantity to the normal operation state, p i2 represents the membership of the i-th feature quantity to the attention operation state, p i3 represents the membership degree of the i-th feature quantity to the abnormal operation state, p i4 represents the membership of the i-th characteristic quantity to the alert operation state; a, b, c, d correspond to the standard values ​​of normal, caution, abnormal and alert states respectively; S44, based on the calculated UHF characteristic parameter membership functions of each GIS device in the four operating states of normal, attention, abnormal and warning, calculate the UHF fuzzy evaluation matrix P 特高频 ,as follows: S45, the characteristic parameter weight matrix A of the UHF partial discharge detection signal 特高频 Based on UHF fuzzy evaluation matrix P 特高频 The evaluation level vector of the operating status of UHF GIS combined electrical appliances is obtained as follows: H 特高频 =A 特高频 ×P 特高频 。 6. The method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals according to claim 1 is characterized in that: Step S5 specifically includes: S51, construct a weight distribution matrix B according to the importance of the characteristic parameters of the effective value, cycle peak value, 50Hz correlation value and 100Hz correlation value of the ultrasonic detection signal 超声波 ,as follows: S52, calculating the weight matrix A of the characteristic parameters of the ultrasonic partial discharge detection signal 超声波 ,as follows: A 超声波 ＝(0.4264 0.3875 0.12400.0621) S53, using trapezoidal and trigonometric functions as fuzzy mapping relationship functions, according to the formula in step S43, the membership function of the ultrasonic characteristic parameters of each GIS device in the four operating states of normal, attention, abnormal and warning is obtained, and according to the membership function, the ultrasonic fuzzy evaluation matrix P is calculated based on the ultrasonic fuzzy evaluation matrix P. 超声波 ,as follows: S54, the characteristic parameter weight matrix A of the ultrasonic partial discharge detection signal 超声波 Based on ultrasonic fuzzy evaluation matrix P 超声波 The evaluation level vector of the operating status of ultrasonic GIS combination electrical appliances is obtained as follows: H 特高频 =A 特高频 ×P 特高频 。 7. The method for evaluating the operating status of a GIS combined electrical appliance based on ultra-high frequency and ultrasonic signals according to claim 1 is characterized in that: Step S6 specifically includes: S61, based on the UHF GIS combined electrical equipment operating status evaluation level vector H 特高频 And the evaluation level vector H of the operation status of ultrasonic GIS combined electrical appliances 超声波 The comprehensive evaluation results are as follows: S62, based on the calculated comprehensive evaluation level vector H 综合 =[h1, h2, h3, h4], according to the maximum membership principle h s =max{h1, h2, h3, h4}, evaluates the operating status level of GIS combined electrical equipment.

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