CN204789878U - Discharge inside and outside long -range identification system of signal of gas insulated switchgear - Google Patents

Abstract

The utility model relates to the technical field of on-line monitoring of gas-insulated combined electrical appliances in substations, in particular to a remote identification system for internal and external discharge signals of gas-insulated combined electrical appliances, including a body signal sensor, a body signal collector, an external signal sensor, and an external signal sensor. Collector and comprehensive processing unit, the collection signal output by the body signal sensor is input into the comprehensive processing unit through the body signal collector, and the collection signal output by the external signal sensor is input into the comprehensive processing unit through the external signal collector, and the comprehensive processing The signal output by the unit also communicates with the database server through the terminal switch, the main station router in turn, and the database server also communicates with the WEB browsing server, the operator station and the engineer station respectively. The fingerprint characteristics of the real discharge signal and the background interference noise in the external environment, and realize the remote identification of the discharge type.

Description

A remote identification system for internal and external discharge signals of gas-insulated combined electrical appliances

technical field

The utility model relates to the technical field of research and application of an online monitoring system for gas-insulated combined electrical equipment in an intelligent substation, in particular to a remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance.

Background technique

Gas insulated metal fully enclosed combined electrical appliances (GASINSULATESWITCHGEAR, GIS) have been widely used in the power industry because of their advantages such as small footprint and less maintenance workload. With the increasing scale of equipment and the unevenness of equipment suppliers, GIS equipment failure phenomena also occur frequently. Therefore, it is urgent to analyze equipment failure phenomena and find out specific detection methods for latentness.

Through the analysis of the statistical results of the reliability of gas-insulated metal fully enclosed combined electrical appliances by power grid enterprises, it is found that the proportion of equipment failures caused by surface discharge of metal particles on the surface of pot insulators is very high. The specific links of metal particles include equipment production and transportation. , installation, inspection and position switching process, the specific hazards of metal particles include: 1) reducing the insulation performance of sulfur hexafluoride gas inside the equipment body, resulting in dielectric breakdown of the insulating gas; 2) metal particles such as free, adsorbed in the basin When the surface of the insulator is damaged, the local electric field intensity on the surface of the pot insulator is highly concentrated, and the critical value of the flashover voltage is significantly reduced, which in turn leads to surface discharge and flashover. However, the flashover voltage of the solid medium (pot insulator) is lower than the breakdown voltage of the gas medium (sulfur hexafluoride gas), which highlights the harm of metal particles to the insulation and life of the pot insulator.

At present, power grid enterprises mainly identify the discharge signal inside the GIS equipment through the live/online detection method based on UHF technology, diagnose the degree of insulation deterioration inside the equipment, and further judge whether there is a pot insulator breakdown or sulfur hexafluoride gas in the equipment body Breakdown and other failures. At the same time, universities and institutions such as Bergische University in Germany, LEMKE in Germany, TDG in the UK, Weidmann in Switzerland, Tsinghua University, North China Electric Power University, Chongqing University and many domestic electric power research institutes have also carried out corresponding research on the shortcomings of existing monitoring technologies. ,application.

However, the online monitoring system based on UHF technology has not yet been widely applied in the power industry. The main technical difficulties include:

(1) The on-site environment of equipment operation is complex, and the external electromagnetic wave background noise is complex, which interferes with the accurate data collection of the equipment body monitoring sensor, and the existing system lacks effective on-site denoising capabilities.

(2) The operation level of the on-site system operation and maintenance personnel needs to be improved, and the experience in diagnosis and analysis is insufficient. It is difficult to quickly and accurately distinguish background noise and identify latent discharge defects in a short period of time.

(3) The mechanism of remote diagnosis of partial discharge of equipment started late, and it is difficult for technicians located in the provincial power grid monitoring and early warning center to fully and real-time grasp the monitoring data of equipment and its environment; it is not conducive to quick response to equipment monitoring widely distributed in various substations Early warning of emergencies.

(4) The update frequency of neural network and knowledge base of monitoring system case reasoning is low, and there is a lack of testing and verification; in most cases, it relies on manual participation to complete the diagnosis and analysis of internal and external discharge conditions of equipment, which cannot meet the efficient processing flow requirements of smart grids .

In view of the fact that the above situation hinders the further popularization and application of UHF monitoring technology in power enterprises, it is not conducive to improving the safe operation level of the power system; therefore, it is urgent to develop an economical and practical gas-insulated monitoring technology suitable for real-time processing of large amounts of data. Combining internal and external discharge signal identification circuits of electrical appliances, and ensuring that it has the ability to realize remote and accurate analysis of discharge monitoring data.

Utility model content

The purpose of this utility model is to break through the limitations of traditional technology, and provide a remote identification of internal and external discharge signals of gas-insulated combined electrical appliances on the basis of in-depth comparison of internal and external discharge signals of gas-insulated combined electrical appliances, and remote transmission and diagnosis. system, the identification circuit digitizes the discharge signal on the spot based on the criterion of empirical risk minimization and structural risk minimization, filters out the background interference noise through comparison and verification, and quickly extracts the discharge characteristic quantity of the real partial discharge inside the equipment; and Provide further diagnostic analysis to the technicians of the remote monitoring and early warning center. The circuit has simple structure, low cost and good expansibility, and is suitable for on-line monitoring of discharge signals of outdoor multi-interval gas-insulated combined electrical appliances. In order to achieve the above object, the technical scheme adopted by the utility model is as follows:

A remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance, characterized in that it includes a main body signal sensor, a main body signal collector, an external signal sensor, an external signal collector and an integrated processing unit, and the collection of the output of the main body signal sensor The signal is input to the comprehensive processing unit through the main body signal collector, and the collected signal output by the external signal sensor is input to the comprehensive processing unit through the external signal collector, and the signal output by the comprehensive processing unit is also passed through the terminal switch, the master station router and the database in sequence. The server is connected in communication, and the database server is also connected in communication with the Web browsing server, the operator station and the engineer station respectively.

Preferably, the body signal sensor is a Hilbert fractal antenna for detecting partial discharge electromagnetic wave signals, and the external signal sensor is a UHAP dipole antenna for detecting external electromagnetic wave signals in the equipment operating environment.

Preferably, the integrated processing unit is a 4U type IPC-610 series industrial computer.

Preferably, the terminal switch is an H3CS3600 series switch.

Preferably, the master station router is an H3CSR8800 series router.

Preferably, the database server is an HP9000 series server.

Preferably, the web browsing server is a rack server of HPProLiantDL580 series.

The main body signal collector and the external signal collector are processed based on the ARM Cortex 32-bit microprocessor chip.

In summary, the utility model has the following advantages:

First, the identification circuit adopts a modular design, which can be flexibly configured and easily replaced, which meets the low-cost requirements for large-scale promotion.

Second, the signal sensor and signal collector can collect signals from multiple sets of UHF monitoring sensors or environmental noise monitoring sensors, and the integrated processing unit can simultaneously process the monitoring data of the main transformer of the whole station to achieve flexible configuration and adapt to the field of smart substations need.

Third, a non-invasive detection method is adopted, and each signal sensor and signal collector are placed outside the equipment, without changing the original structure and operation mode of the equipment, realizing the isolation of the primary circuit and the secondary circuit, and not affecting the operation safety of electrical equipment ; At the same time, there is no need to power off the equipment during installation and maintenance.

Fourth, the identification system realizes in-situ digitization of signals and avoids signal attenuation.

Fifth, accurate monitoring: monitor the characteristic parameters of internal partial discharge through UHF method, filter external electromagnetic interference through environmental noise monitoring sensor, judge the type of discharge defect through neural network, and use the aspect ratio analysis method to judge the degree of discharge defect.

Sixth, easy maintenance: the arrangement of star topology is adopted to ensure that the maintenance of a single UHF monitoring sensor does not affect the normal operation of other monitoring circuits; and it is realized through monitoring sensors, integrated processing units and data switches The whole process control from discharge detection, analysis and diagnosis, early warning and historical data storage.

Seventh, remote diagnosis: use distributed interoperable network communication application program (WebService) to realize that different users can monitor partial discharge data on different computers, and adapt to the heterogeneous information integration required by different units (departments) in the power grid enterprise system, and is highly consistent with the management mode of remote on-duty, operation and maintenance.

Description of drawings

In order to more clearly illustrate the utility model example or the technical scheme in the prior art, the accompanying drawings required in the description of the implementation examples or the prior art will be briefly introduced below. Obviously, the accompanying drawings in the following description are only the present invention. For some examples of utility models, those of ordinary skill in the art can also obtain other drawings based on these drawings without paying any inventive step.

Fig. 1 is a schematic diagram of a remote identification system for internal and external discharge signals of a gas-insulated combined electric appliance of the present invention.

In the drawings, 1-body signal sensor, 2-body signal collector, 3-external signal sensor, 4-external signal collector, 5-integrated processing unit, 6-terminal switch, 7-main station router, 8-database Server, 9-Web browsing server, 10-operator station, 11-engineer station

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the examples of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present utility model, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of the present utility model.

As shown in Figure 1, a remote identification system for internal and external discharge signals of a gas-insulated composite electrical appliance includes a main body signal sensor 1, a main body signal collector 2, an external signal sensor 3, an external signal collector 4, and an integrated processing unit 5. The acquisition signal 6 output by the body signal sensor is input into the comprehensive processing unit 5 through the body signal collector 2, and the acquisition signal output by the external signal sensor 3 is input into the comprehensive processing unit 5 through the external signal collector 4, and the comprehensive processing unit 5 It also communicates with the database server 8 through the terminal switch 6 and the master station router 7 in turn, and the database server 8 also communicates with the Web browsing server 9 , the operator station 10 and the engineer station 11 respectively.

Body signal sensor 1, body signal collector 2, external signal sensor 3, external signal collector 4, comprehensive processing unit 5, and terminal switch in a remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance of the present utility model 6 will be deployed in the substation; among them, the main body signal sensor 1 is one or more roads (1-12 road main body signal sensors can be selected), and is installed on the surface of the pot insulator of the body of the gas-insulated combined electrical appliance, and the external signal sensor 2 is One or more channels (1-12 external signal sensors can be selected), the body signal collector 2, the external signal sensor 3, and the external signal collector 4 are installed near the body of the gas-insulated combined electrical appliance, the integrated processing unit 5, and the terminal switch 6 Installed in the monitoring system control panel cabinet in the relay protection room; the master station router 7, database server 8, Web browsing server 9, operator station 10, and engineer station 11 will be deployed in the monitoring and early warning center; among them, the master station router 7. The database server 8 and Web browsing server 9 are installed in the central computer room, and the operator station 10 and engineer station 11 are installed in the central duty room. The remote identification circuit of internal and external discharge signals of gas-insulated combined electrical appliances can scan and distinguish the discharge signals in the equipment body and the interference signals of the operating environment, and then provide the detected, filtered and analyzed partial discharge electromagnetic wave signals to the monitoring and early warning center, and Provide relevant equipment operation and maintenance technicians for consultation.

In this embodiment, only the monitoring data of the discharge signal is transmitted in the loop from the body signal sensor 1 to the integrated processing unit 5, and the body signal collector 2 can sequentially receive and process at least twelve channels of body signal sensors detected by the body signal sensor 1. The discharge signal; the body signal sensor 1 is a Hilbert fractal antenna, the detection electromagnetic wave signal frequency band is between 300MHz and 3GHz, the standing wave ratio is lower than 2, and all non-metallic parts that are exposed and leaked are tightly wrapped with shielding cloth. In addition , the specific number of body signal sensors 1 is determined according to the interval and structural features of the device body; and the number of body signal collectors 2 depends on how many body signal sensors 1 are deployed.

In this embodiment, only the monitoring data of the discharge signal is transmitted in the loop from the external signal sensor 3 to the comprehensive processing unit 5, and the external signal collector 2 can receive and process at least twelve external signal sensors 3 detected in turn. background noise; the external signal sensor 3 is a dipole antenna, and the frequency band of the detection electromagnetic wave signal is between 30MHz and 4GHz. It is especially suitable for detection in an open environment. In addition, the specific number of external signal sensors 3 is determined according to the area of the device body and its operating environment; and the number of external signal collectors 4 depends on how many external signal sensors 3 are deployed. depends.

The main body signal collector 2 and the external signal collector 4 are processed based on the ARM Cortex 32-bit microprocessor chip, and are packaged in GZPD-AD-UHF series advanced engineering plastic shells. The main body discharge signal collector 2 and the external discharge signal The output terminals of the collector 4 are respectively connected to the input terminals of the comprehensive processing unit 5 through optical fiber cables, and the signal loop can transmit detection values. The main functions of the comprehensive processing unit 3 include three points:

(1) Compare, distinguish, and fit the fingerprint features of the device body and the operating environment signal, and filter the background noise;

(2) Use the unified neural network of the whole network to process the filtered internal signal of the equipment, and identify the type of partial discharge, which usually includes typical discharge defect types such as metal particles, floating potential, internal holes in solid insulation, and dirty surface of solid insulation;

(3) Upload the collected monitoring data. The integrated processing unit 5 is a 4U IPC-610 series industrial computer, which adopts IntelCOREⅡE7300 2GHz processor, 6194VG motherboard, 320G-SATA hard disk, and carries a Windows operating system. In addition, it can also be used by equipment operation and maintenance personnel in the substation Query data and issue control commands.

The output end of the integrated processing unit (5) is connected to the input end of the terminal switch (6) through a twisted pair cable, and its signal loop can transmit monitoring values, discharge times (N), apparent electric quantity (Q), discharge amplitude (q), luminous flux (Φ), discharge phase (φ), spectrogram, time stamp (acquisition, upload) and control commands, etc.; the terminal switch 6 sends various monitoring data through the integrated power data network at the first time To the main station router 7 of the remote monitoring and early warning center, the terminal switch 6 is a switch of the H3CS3600 series, supports VLAN-based IPv4 and IPv6 standard access control lists (ACLs), and supports message DSCP/IP/TOS/COS priority functions , supports multiple modes of queue scheduling mechanisms, and supports QoS service mechanisms for multi-service operations.

The output end of the master station router 7 and the input end of the database server 8 are connected to each other through a twisted pair cable, and its signal loop can transmit various monitoring data, and can issue control commands to the monitoring circuit in the substation. Switch 7 is an H3CSR8800 series router that supports VLAN-based IPv4 and IPv6 standard access control lists (ACLs), and can implement load sharing and mutual backup of multiple uplinks through distributed cross-device link aggregation technology. On the basis of improving the reliability of the complete set of network architecture, the utilization rate of link resources is increased, and it is suitable for monitoring data communication distributed in a wide area.

The database server 8 stores various types of monitoring data uploaded by each substation at the first time, and is respectively connected to the Web browsing server 9, the operator station 10, and the engineer station 11 of the monitoring and early warning center through a twisted pair cable, and can provide dispatching retrieval, query, and backup services. Described database server 8 is the server of HP9000 series, the processor cache that adopts is first-level 1.5MB, second-level 64MB, internal memory is 16GB registered DDR266A, hard disk is 1TSCSI hard disk, 4 core processors, and carries the Linux server operating system .

The web browsing server 9 can provide technical personnel at all levels in the provincial power grid with query services related to monitoring data of the entire network according to predetermined access rights. Specifically, technicians at all levels connect to the Web browsing server 9 through the HTTP protocol in the integrated power data network to obtain data within the permission to browse, and then send the data to the web server and obtain specific monitoring data content. The main content includes: monitoring Time, device name, detection value (discharge frequency after converting data format, discharge phase, discharge amplitude), discharge defect type etc., the refresh interval of relevant data is about 15 minutes; Described Web browsing server 9 is the machine of HPProLiantDL580 series The rack server adopts a processor cache of 1.5MB for the first level and 64MB for the second level, the memory is 16GB registered DDR3, the hard disk is 1TSATA hard disk, the core processor is XeonE7-4820v2, and it carries the Linux server operating system.

The operator station 10 can provide monitoring and early warning center technicians with query and diagnosis services of the monitoring data of the whole network. The main content includes: monitoring time, equipment name, discharge type, discharge spectrum, monitoring report, data comparison, data analysis, data list, comprehensive information, current status, change curve, etc.

The operator station 11 can provide the engineers and system maintenance personnel of the monitoring and early warning center with query and diagnosis services of the monitoring data of the whole network. , φ-q-n three-dimensional diagram, φ-q scatter diagram, φ-n histogram, φ-q gray scale diagram, pulse waveform of detection signal, monitoring report, data comparison, data analysis, data list, current status, historical alarm records, historical inspection records, etc. At the same time, the engineers and system maintenance personnel of the monitoring and early warning center can issue control instructions to the monitoring systems of each terminal in the integrated power data network through the engineer station 11, including the acquisition of data such as the pulse waveform of the detection signal of the device body or the external environment, Upgrade the neural network database in the integrated processing unit 5.

In conjunction with Fig. 1, the specific operation process of the utility model is as follows,

1). Deploy the body signal sensor 1, body signal collector 2, external signal sensor 3, and external signal collector 4 of a remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance of the present invention in a 220kV substation In the 220kV switch yard area, and connected to the power supply; each body signal sensor 1 is tightly installed on the surface of the basin insulator of the gas-insulated combined electrical appliance body, and each external signal sensor 3 is respectively around the switch yard, and the distance between them is moderate.

2). The body signal sensor 1 on the surface of the basin-type insulator installed on the body of the gas-insulated combined electrical appliance detects the discharge signal inside the gas-insulated combined electrical appliance, and collects it through the body signal collector 2 and uploads it to the integrated processing unit 5 .

3). The external signal sensor 3 installed around the body of the gas-insulated combined electrical appliance detects background noise signals in the operating environment of the equipment, and collects them through the external signal collector 4 and uploads them to the integrated processing unit 5 .

4). The integrated processing unit 5 analyzes, compares, filters and stores the detection values uploaded by each body signal collector 2 and each external signal collector 4; specific filtering refers to comparing electromagnetic wave signals inside and outside the body (that is, background noise), filter out the waveform that is the same as the background noise or close to the fingerprint, and the electromagnetic interference types that can filter the external environment include mobile phone signals, radar signals, and discharges in the air. Then, through the diagnosis of the filtered real discharge signal, the result of whether there is an insulation defect is obtained; the specific defect types include metal particles, suspended potential, etc.

In addition, the comparative analysis of the discharge degree of partial discharge detection values includes longitudinal comparison and horizontal comparison of measured values based on time domain changes, as follows:

Longitudinal comparison: vertically compare the change of the measured value of the same monitoring sensor in different time periods, such as the comparison function of the average value of the partial discharge in the transformer oil in different periods, and provide judgment experience in judging the degree of discharge defect of the equipment;

Horizontal comparison: Horizontal comparison of the measurement value deviation function of different monitoring sensors in the same period of time, such as the average value comparison function of the monitoring sensors of the equipment ABC three-phase in the same period, providing judgment experience in judging the degree of discharge defects of three-phase equipment.

5). The comprehensive processing unit 5 transmits the discharge monitoring data to the terminal switch machine 6 through a twisted pair cable, and further provides the database server 8, the Web browsing server 9, and the operator station 10 through the communication link of the power integrated data network Display, store, compare, analyze and process with the engineer station 11, and display the monitoring values and spectrograms representing the degree of discharge after processing, and provide them to the technical personnel of the monitoring and early warning center, equipment operation and maintenance personnel of the power supply bureau and external experts to diagnose the 220kV The insulation status of the three-phase box-type gas-insulated combined electrical appliances. In addition, when the technicians in the monitoring and early warning center find that there is a suspected discharge in the gas-insulated combined electrical equipment, they will immediately issue an early warning notice to the Equipment Power Supply Bureau; and cooperate with timely investigation of the equipment abnormal.

The above is only a preferred embodiment of the utility model, and is not intended to limit the utility model. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the utility model should be included in the within the scope of protection of utility models.

Claims (8)

1. A remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance, characterized in that it includes a body signal sensor (1), a body signal collector (2), an external signal sensor (3), and an external signal collector (4 ) and an integrated processing unit (5), the acquisition signal (1) output by the body signal sensor is input to the integrated processing unit (5) by the body signal collector (2), and the acquisition signal output by the external signal sensor (3) Input the integrated processing unit (5) through the external signal collector (4), and the signal output by the integrated processing unit (5) also communicates with the database server (8) through the terminal switch (6), the main station router (7) and the database server (8) successively connected, and the database server (8) is also communicatively connected with the Web browsing server (9), the operator station (10) and the engineer station (11) respectively. 2. A remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance according to claim 1, characterized in that: the body signal sensor (1) is a Hilbert fractal antenna, and the external signal sensor (3) is UHAP dipole antenna. 3. A remote identification system for internal and external discharge signals of gas-insulated combined electrical appliances according to claim 1, characterized in that: the integrated processing unit (5) is a 4U type IPC-610 series industrial computer. 4. A remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance according to claim 1, characterized in that: the terminal switch (6) is an H3CS3600 series switch. 5. A remote identification system for internal and external discharge signals of gas-insulated combined electrical appliances according to claim 1, characterized in that: the master station router (7) is a H3CSR8800 series router. 6. A remote identification system for internal and external discharge signals of gas-insulated combined electrical appliances according to claim 1, characterized in that: said database server (8) is a server of HP9000 series. 7. A remote identification system for internal and external discharge signals of a gas-insulated combined electrical appliance according to claim 1, characterized in that: the web browsing server (9) is a rack server of HPProLiantDL580 series. 8. A remote identification system for internal and external discharge signals of gas-insulated combined electrical appliances according to claim 1, characterized in that: the main body signal collector (2) and the external signal collector (4) are based on ARM Cortex 32-bit micro The processor chip does the processing.