Segmented multi-sensor detection hybrid power transmission line fault rapid positioning and diagnosis system

Abstract

The invention relates to the field of hybrid power transmission line fault maintenance, in particular to a sectional type multi-sensor detection hybrid power transmission line fault rapid positioning and diagnosing system, which comprises the following modules: a distributed fault positioning module, a fault diagnosis module, a fault diagnosis module and a fault diagnosis module, rapidly positioning a fault point according to the instantaneous traveling wave signal of the line by adopting a traveling wave measurement technology; and the data acquisition and transmission module is used for summarizing the line instantaneous traveling wave signal data acquired by each sensor and transmitting the data to the intelligent data analysis platform. Through the distributed fault positioning module, a fault point can be quickly positioned in an extremely short time, the fault searching time is greatly shortened, the emergency response capability of a power grid is improved, the overall coverage of the whole hybrid power transmission line is ensured through the installation mode of the distributed sensor, and no matter which position the fault occurs, the fault point can be quickly positioned. And fault signals can be captured and processed in time.

Description

Technical Field

[0001] The invention relates to the field of hybrid power transmission line fault inspection and repair, and in particular to a hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection. Background Art

[0002] The transmission line is a structural form that uses a transformer to step up the voltage of the electric energy generated by the generator, and then connects it to the transmission line through control equipment such as circuit breakers. Transmission lines are divided into overhead transmission lines and cable lines. Overhead transmission lines are composed of line towers, conductors, insulators, line hardware, guy wires, tower foundations, grounding devices, etc., and are erected above the ground. According to the nature of the transmitted current, power transmission is divided into AC transmission and DC transmission.

[0003] With the continuous expansion and complexity of power networks, fault location and diagnosis of hybrid transmission lines (including overhead lines and cables) have become an important challenge to ensure the stable operation of power grids. Traditional fault location methods, such as manual line patrol and impedance method, have problems such as long positioning time, low accuracy and cumbersome operation, which can hardly meet the needs of modern power grids for rapid response and precise positioning.

[0004] Therefore, we have made improvements to this problem and proposed a hybrid transmission line fault rapid location and diagnosis system with segmented multi-sensor detection. Summary of the invention

[0005] The purpose of the present invention is to propose a hybrid transmission line fault rapid location and diagnosis system with segmented multi-sensor detection to address the problems of long positioning time, low accuracy and cumbersome operation of the current manual line patrol and impedance method, which are difficult to meet the needs of modern power grids for rapid response and precise positioning.

[0006] In order to achieve the above-mentioned object of the invention, the present invention provides a hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection, comprising the following modules:

[0007] Distributed fault location module: used to capture the instantaneous traveling wave signal of the line in real time according to multiple sensors installed on the line, and use traveling wave measurement technology to quickly locate the fault point according to the instantaneous traveling wave signal of the line;

[0008] Data acquisition and transmission module: used to aggregate the line instantaneous traveling wave signal data collected by each sensor and transmit it to the intelligent data analysis platform;

[0009] Visual fault display and decision-making module: Together with the intelligent data analysis platform, it provides an intuitive visual interface to display the location, type, and severity of faults. Combined with historical data and knowledge base, it provides scientific decision-making support for operation and maintenance personnel, helping them to quickly formulate and implement fault handling plans.

[0010] Alarm and notification module: with intelligent data analysis platform, used to trigger alarm and notify relevant personnel after fault is detected, wirelessly connect with smart phone to send alarm information to remote mobile terminal;

[0011] Adaptive learning mechanism module: Together with the intelligent data analysis platform, it can continuously learn from actual operation data and optimize the fault detection and location model.

[0012] As a preferred technical solution of the present invention, the specific operation steps of the distributed fault location module are:

[0013] S1. Sensor selection and deployment: Install current sensors, voltage sensors and fiber optic sensors on hybrid transmission lines;

[0014] S2, data acquisition: real-time capture of line instantaneous traveling wave signals including current, voltage, vibration and temperature, and conversion of these data into digital signals for storage and transmission;

[0015] S3, traveling wave measurement: using the instantaneous traveling wave signal captured by the sensor, the propagation characteristics of the traveling wave, including wave speed and waveform, are extracted through traveling wave measurement technology;

[0016] S4, fault type identification: According to the processed signal characteristics, combined with the known fault type feature library, the fault type is identified;

[0017] S5. Fault location: Based on the results of traveling wave measurement and signal processing, a fault location algorithm, including traveling wave method and fault analysis method, is used to calculate the distance between the fault point and the sensor.

[0018] As a preferred technical solution of the present invention, in step S5, the traveling wave method is used to locate the fault, which specifically includes: the time for the traveling wave to propagate from the fault point to the measuring point is t, the propagation speed of the traveling wave in the transmission line is v, and the distance D1 from the fault point to the measuring point is expressed as:

[0019]

[0020] As a preferred technical solution of the present invention, in step S5, a fault analysis method is used to locate the fault, which specifically includes: by measuring the voltage and current after the fault, combining the line parameters and the fault type, calculating the fault impedance, and then calculating the fault distance. For a single-phase grounding fault, the fault point voltage U is known. f 、Current I f , as well as the positive sequence impedance Z1 and zero sequence impedance Z0 per unit length of the line, the fault distance D2 is approximately expressed as:

[0021]

[0022] Where k is the ratio of zero sequence current to positive sequence current.

[0023] As a preferred technical solution of the present invention, it also includes a spectrum analysis module: used to use the frequency domain information in the transient signal after the line fails, use the signal analysis method to further obtain the fault information, and then locate the fault through analysis and calculation.

[0024] As a preferred technical solution of the present invention, the spectrum analysis module is specifically used for:

[0025] S11. Equipment preparation: Use signal acquisition equipment, including an oscilloscope and a data acquisition card, set the parameters of the acquisition equipment, and collect transient signals of the hybrid transmission line after a fault occurs;

[0026] S12, filtering and denoising: preprocessing the collected signal, wherein the preprocessing includes filtering and removing noise interference, and amplifying the signal;

[0027] S13, Fourier transform: process the filtered and denoised signal and transform it into signal parameters that can be recognized and processed by the system.

[0028] S14, fault type identification: judging the current fault type by the transformed parameter values ​​of each type. Compared with the prior art, the beneficial effects of the present invention are:

[0029] In the scheme of the present invention:

[0030] 1. In order to solve the problems of long positioning time, low precision and complicated operation of manual line patrol and impedance method in the prior art, which are difficult to meet the needs of modern power grid for rapid response and precise positioning, the present invention can quickly locate the fault point in a very short time through a distributed fault location module, greatly shortening the fault finding time and improving the emergency response capability of the power grid. The installation method of distributed sensors ensures the comprehensive coverage of the entire hybrid transmission line, and can capture and process the fault signal in time no matter where the fault occurs;

[0031] 2. The signal processing method of the spectrum analysis module combined with the present invention can further verify and correct the fault location results, improve the accuracy of positioning, and accurately identify the fault point even in a complex hybrid line environment. It can automatically identify different types of faults and provide detailed fault analysis reports to help power personnel quickly and accurately troubleshoot faults;

[0032] 3. The present invention can reduce the impact of faults on the power system and improve the operating efficiency and stability of the power grid by real-time monitoring and rapid positioning of fault points. At the same time, the diagnostic function also reduces the need for manual intervention and alleviates the workload of power personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1It is a structural schematic diagram of the hybrid power transmission line fault rapid location diagnosis system with segmented multi-sensor detection of the present invention;

[0034] Figure 2 It is a parameter chart of voltage, current, impedance and fault distance of the present invention. DETAILED DESCRIPTION

[0035] 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.

[0036] Please refer to Figure 1 The embodiment of the present invention provides a hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection, comprising the following modules:

[0037] Distributed fault location module: used to capture the instantaneous traveling wave signal of the line in real time according to multiple sensors installed on the line, and use traveling wave measurement technology to quickly locate the fault point according to the instantaneous traveling wave signal of the line;

[0038] Data acquisition and transmission module: used to aggregate the line instantaneous traveling wave signal data collected by each sensor and transmit it to the intelligent data analysis platform;

[0039] Visual fault display and decision-making module: Together with the intelligent data analysis platform, it provides an intuitive visual interface to display the location, type, and severity of faults. Combined with historical data and knowledge base, it provides scientific decision-making support for operation and maintenance personnel, helping them to quickly formulate and implement fault handling plans.

[0040] Alarm and notification module: with intelligent data analysis platform, used to trigger alarm and notify relevant personnel after fault is detected, wirelessly connect with smart phone to send alarm information to remote mobile terminal;

[0041] Adaptive learning mechanism module: Together with the intelligent data analysis platform, it can continuously learn from actual operation data and optimize the fault detection and location model.

[0042] The present invention uses a distributed fault location module to quickly locate the fault point in a very short time, greatly shortening the fault finding time and improving the emergency response capability of the power grid. The installation method of the distributed sensor ensures comprehensive coverage of the entire hybrid transmission line. No matter where the fault occurs, the fault signal can be captured and processed in time.

[0043] Example 1, please refer to Figure 1 and Figure 2 , a hybrid transmission line fault rapid location and diagnosis system with segmented multi-sensor detection, including the following modules:

[0044] Distributed fault location module: used to capture the instantaneous traveling wave signal of the line in real time according to multiple sensors installed on the line, and use traveling wave measurement technology to quickly locate the fault point according to the instantaneous traveling wave signal of the line;

[0045] Data acquisition and transmission module: used to aggregate the line instantaneous traveling wave signal data collected by each sensor and transmit it to the intelligent data analysis platform;

[0046] Visual fault display and decision-making module: Together with the intelligent data analysis platform, it provides an intuitive visual interface to display the location, type, and severity of faults. Combined with historical data and knowledge base, it provides scientific decision-making support for operation and maintenance personnel, helping them to quickly formulate and implement fault handling plans.

[0047] Alarm and notification module: with intelligent data analysis platform, used to trigger alarm and notify relevant personnel after fault is detected, wirelessly connect with smart phone to send alarm information to remote mobile terminal;

[0048] Adaptive learning mechanism module: Together with the intelligent data analysis platform, it can continuously learn from actual operation data and optimize the fault detection and location model.

[0049] The distributed fault location module is specifically used for:

[0050] S1. Sensor selection and deployment: Install current sensors, voltage sensors and fiber optic sensors on hybrid transmission lines;

[0051] S2, data acquisition: real-time capture of line instantaneous traveling wave signals including current, voltage, vibration and temperature, and conversion of these data into digital signals for storage and transmission;

[0052] S3, traveling wave measurement: using the instantaneous traveling wave signal captured by the sensor, the propagation characteristics of the traveling wave, including wave speed and waveform, are extracted through traveling wave measurement technology;

[0053] S4, fault type identification: According to the processed signal characteristics, combined with the known fault type feature library, the fault type is identified;

[0054] S5. Fault location: Based on the results of traveling wave measurement and signal processing, a fault location algorithm, including traveling wave method and fault analysis method, is used to calculate the distance between the fault point and the sensor.

[0055] In step S5, the traveling wave method is used to locate the fault, which specifically includes: the time for the traveling wave to propagate from the fault point to the measurement point (busbar) is t, the propagation speed of the traveling wave in the transmission line is v, and the fault distance D1 is expressed as:

[0056]

[0057] In step S5, the fault analysis method is used to locate the fault, which specifically includes: by measuring the voltage and current after the fault, combining the line parameters and the fault type, calculating the fault impedance, and then calculating the fault distance. For a single-phase grounding fault, the fault point voltage U is known. f 、Current I f , as well as the positive sequence impedance Z1 and zero sequence impedance Z0 per unit length of the line, the fault distance D2 is approximately expressed as:

[0058]

[0059] Where k is the ratio of zero sequence current to positive sequence current.

[0060] It also includes a spectrum analysis module: it is used to use the frequency domain information in the transient signal after the line fails, and use the signal analysis method to further obtain the fault information.

[0061] Embodiment 2 further optimizes the hybrid power transmission line fault rapid location diagnosis system with segmented multi-sensor detection provided in Embodiment 1. Specifically, Figure 1 As shown, the spectrum analysis module is specifically used for:

[0062] S11. Equipment preparation: Use signal acquisition equipment, including an oscilloscope and a data acquisition card, set the parameters of the acquisition equipment, and collect transient signals of the hybrid transmission line after a fault occurs;

[0063] S12, filtering and denoising: preprocessing the collected signal, wherein the preprocessing includes filtering and removing noise interference, and amplifying the signal;

[0064] S13, Fourier transform: process the filtered and denoised signal and transform it into signal parameters that can be recognized and processed by the system.

[0065] S14. Fault type identification: determine the current fault type through the transformed parameter values ​​of each type.

[0066] Obviously, the embodiments described above are only some embodiments of the present invention, rather than all embodiments. The preferred embodiments of the present invention are given in the accompanying drawings, but they do not limit the patent scope of the present invention. The present invention can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive. Although the present invention has been described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific embodiments, or to perform equivalent replacements for some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of the present invention, directly or indirectly used in other related technical fields, is also within the scope of patent protection of the present invention.

Claims

1. A hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection, characterized in that: Includes the following modules: Distributed fault location module: used to capture the instantaneous traveling wave signal of the line in real time according to multiple sensors installed on the line, and use traveling wave measurement technology to quickly locate the fault point according to the instantaneous traveling wave signal of the line; Data acquisition and transmission module: used to aggregate the line instantaneous traveling wave signal data collected by each sensor and transmit it to the intelligent data analysis platform; Visual fault display and decision-making module: connected to the intelligent data analysis platform, it is used to provide an intuitive visual interface to display the location, type and severity of the fault. Combined with historical data and knowledge base, it provides scientific decision-making support for operation and maintenance personnel and helps to quickly formulate and implement fault handling plans; Alarm and notification module: connected to the intelligent data analysis platform, used to trigger an alarm and notify relevant personnel after a fault is detected, and wirelessly connected to the remote mobile terminal to send the alarm information to the remote mobile terminal; Adaptive learning mechanism module: connected to the intelligent data analysis platform to learn and optimize the fault detection and location model from actual operation data.

2. The hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection according to claim 1 is characterized in that: The specific operation steps of the distributed fault location module are: S1. Sensor selection and deployment: Install current sensors, voltage sensors and fiber optic sensors on hybrid transmission lines; S2, data acquisition: real-time capture of line instantaneous traveling wave signals, including current, voltage, vibration and temperature, and conversion of electrical parameters into digital signals for storage and transmission; S3, Traveling wave measurement: Using the instantaneous traveling wave signal of the line captured by the sensor, the propagation characteristics of the traveling wave, including wave speed and waveform, are extracted through traveling wave measurement technology; S4. Fault type identification: According to the processed wave velocity and waveform, combined with the known fault type feature library, the fault type is identified; S5. Fault location: Based on the results of fault type identification, a fault location algorithm, including traveling wave method and fault analysis method, is used to calculate the distance between the fault point and the sensor.

3. The hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection according to claim 2 is characterized in that: The step S5 adopts the traveling wave method to locate the fault, which specifically includes: the time for the traveling wave to propagate from the fault point to the measuring point is t, the propagation speed of the traveling wave in the transmission line is v, and the distance D1 from the fault point to the measuring point is expressed as:

4. The hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection according to claim 2 is characterized in that: In step S5, the fault analysis method is used to locate the fault, which specifically includes: by measuring the voltage and current after the fault, combining the line parameters and the fault type, calculating the fault impedance, and then calculating the fault distance. For a single-phase grounding fault, the fault point voltage U is known. f 、Current I f , as well as the positive sequence impedance Z1 and zero sequence impedance Z0 per unit length of the line, the distance D2 from the fault point to the measurement point of the single-phase grounding type fault is expressed as: Where k is the ratio of zero sequence current to positive sequence current.

5. The hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection according to claim 1 is characterized in that: It also includes a spectrum analysis module: it is used to use the frequency domain information in the transient signal after the line fails, and use the signal analysis method to further obtain the fault information.

6. The hybrid power transmission line fault rapid location and diagnosis system with segmented multi-sensor detection according to claim 5 is characterized in that: The spectrum analysis module is specifically used for: S11. Equipment preparation: Use signal acquisition equipment, including an oscilloscope and a data acquisition card, set the parameters of the acquisition equipment, and collect transient signals of the hybrid transmission line after a fault occurs; S12, filtering and denoising: preprocessing the collected signal, wherein the preprocessing includes filtering and removing noise interference and amplifying the signal; S13, Fourier transform: process the filtered and denoised signal and transform it into signal parameters that can be recognized and processed by the system. S14. Fault type identification: determine the current fault type through the transformed parameter values ​​of each type.

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