CN104360244A - Solid-state transformer partial discharge on-line monitoring method - Google Patents
Solid-state transformer partial discharge on-line monitoring method Download PDFInfo
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Abstract
The invention discloses a solid-state transformer partial discharge on-line monitoring method, and belongs to the technical field of solid-state transformer detection. The solid-state transformer partial discharge on-line monitoring method comprises the steps of hardware configuration and monitoring. In the hardware configuration step, a current sensor is connected with a broadband digital oscilloscope, and the broadband digital oscilloscope, a processing computer, a data storage server and an analysis system are connected in sequence. Changes in leakage current on a ground wire of a solid-state transformer to be detected are monitored and used as characteristic signals for judging insulation aging of the solid-state transformer, graphs obtained through a data processing step are used for showing the characteristic differences of all parameters in phase distribution and amplitude quantitative distribution, the insulating state of the solid-state transformer is effectively evaluated, potential insulation defects of the solid-state transformer can be found as early as possible, the requirement for intelligent device repairing regulation signals is met, and an intelligent grid control and maintenance device can work efficiently and operate safely and reliably. The solid-state transformer partial discharge on-line monitoring method enables power grid equipment to be maintained in time, reduce losses and reduce the production cost.
Description
Technical field
The invention belongs to solid-state transformer detection technique scope, particularly a kind of solid-state transformer partial discharge monitoring method.
Background technology
Solid-state transformer (Solid State Transformer) is a kind of novel intelligent power transmission and transformation equipments also known as electric power electric transformer, and it can realize the flexible transmission of electric energy, improves system stability and power supply reliability.The quality of solid-state transformer insulation is the safe and reliable stable operation of the whole intelligent grid of impact, finds in the research experiment of solid-state transformer, and the fault of most of solid-state transformer causes because deterioration occurs in its insulation.In the past, China is for the widely used preventive trial of power transformer in the past, and traditional method is the means taking regularly to have a power failure, and belongs to offline inspection.But because solid-state transformer is the equipment operated in intelligent distribution network, have new requirement to system stability, off-line testing method originally can not adapt to actual needs.Therefore study solid-state transformer on-line monitoring technique, reasonable analysis can be carried out to solid-state transformer in time, then under the cooperation of intelligent maintenance, repair apparatus means, to ensureing that the reliable and stable intelligent operation of power distribution network is significant.
In the research of nearest solid-state transformer, be converted to meet its safe and stable operation state aspect from realizing flexible transformation transfer function.In order to study the stable of solid-state transformer and security performance, on solid-state transformer on-line monitoring technique, had certain exploration in the industry, main method has: DC component method, DC superposition method, shelf depreciation method and low frequency method of superposition etc.Through extensively research, shelf depreciation method has relative advantage on on-line monitoring.Because solid-state transformer belongs to the category of high frequency power transformer, the pwm pulse waveform of its excitation has the advantages that the rise time is of short duration, amplitude is large, frequency is high, and its structure is compacter compared with Industrial Frequency Transformer, turn ratio is larger, because turn-to-turn voltage is higher, the constant impingement of Geng Duo volume partial discharge pulse and the distortion of space electric field can be caused, easily cause insulation to be lost efficacy rapidly under high-frequency impulse.Due to the difference of its supply voltage and traditional power frequency, cause the difficulty to its on-line monitoring technique.Many scholars, expert and the research unit detection technique to solid-state transformer constantly advance innovation both at home and abroad, but the actual on-line monitoring method put into operation is also little.Therefore, be necessary to study and develop a kind of solid-state transformer partial discharge monitoring method, to meet the requirement of solid-state transformer effect flexibly in intelligent distribution network, give the early warning information of solid-state transformer insulation degradation in advance, to prevent trouble before it happens, in advance Intelligent treatment is carried out to defect solid-state transformer, avoid causing trouble to occur.
Summary of the invention
The object of the invention is to propose a kind of solid-state transformer partial discharge monitoring method, it is characterized in that, comprise the following steps:
1) data acquisition, Leakage Current and power supply trigger pip in real time on the ground wire being obtained corresponding solid-state transformer by wideband current sensor;
2) data summarization, is aggregated into broadband digital oscillograph by above-mentioned real-time current signal by 50 Ω concentric cable;
3) data transmission, the real-time current signal discrete of acquisition is changed into digital signal by broadband digital oscillograph, transfers to process computer by usb protocol;
4) data processing, the real-time current signal data obtained from oscillograph is carried out online filtering process by process computer, obtains local discharge signal;
5) data store, and are preserved in a database by the real-time local discharge signal through process computer process, form shelf depreciation historical current data;
6) data analysis, by local discharge signal analytic system to above-mentioned shelf depreciation historical current data analysis, extracts characteristic parameter, forms the characteristic spectrum for insulation judgement and monitoring analysis.
Described step 4) data processing step as follows:
401. process computers carry out EMD filtering process to the described real-time current signal transferred;
The filtered signal obtained in step 401 is carried out the process that takes absolute value by 402. process computers;
The absolute value data obtained in step 402 is dispelled white noise by the setting of upper threshold by 403. process computers;
The concussion data that obtain in step 403 by conventional windowing method process, are obtained effective impulse local discharge signal by 404. process computers.
Described characteristic parameter comprises arrowband Partial discharge signal, maximum pd quantity, mean discharge magnitude and discharge time, wherein:
Described arrowband Partial discharge signal is the peak value of effective Partial discharge signal under certain narrow band frequency;
Described maximum pd quantity is the maximal value that in single sine power supply signal activation period, pulse amplitude is put in office;
Described mean discharge magnitude is the mean value that in single sine power supply signal activation period, pulse amplitude is put in office;
Described discharge time is discharge time in single sine power supply signal activation period.
Described characteristic spectrum comprises:
Maximum pd quantity phase resolved plot, represents the maximum pd quantity being distributed in each several part in whole phase region;
Mean discharge magnitude phase resolved plot, represents the mean discharge magnitude being distributed in each several part in whole phase region;
Electric discharge amplitude distribution collection of illustrative plates, represents the statistics of the discharge time to different amplitude;
Discharge time phase resolved plot, represents the discharge time being distributed in each several part in whole phase region;
φ-Q-N collection of illustrative plates, represents discharge capacity, relation between discharge time and discharge phase.
The invention has the beneficial effects as follows and overcome prior art deficiency, solve the acquisition difficult point of the shelf depreciation of on-line monitoring under the service condition that solid-state transformer is special, by monitoring the characteristic signal of the leakage current change on solid-state transformer ground wire to be measured as the insulation ag(e)ing of differentiation solid-state transformer, utilize the collection of illustrative plates obtained through data processing step in each parameter PHASE DISTRIBUTION, the feature difference of amplitude distributed number, realize the Efficient Evaluation to solid-state transformer state of insulation, ensure that intelligent power distribution network control system can find the potential insulation defect of solid-state transformer as early as possible, meet the needs of intelligent prosthetic device adjustment signal, effectively can detect the state of insulation of solid-state transformer, for the safe and stable operation of solid-state transformer in intelligent distribution network provides the practical method of on-line checkingi and supervision, thus intelligent grid control service equipment is effectively worked, security of operation, reliably.Grid equipment is safeguarded timely, reduces the loss, reduce production cost.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of solid-state transformer Partial discharge on-line monitoring.
Fig. 2 is the process flow diagram of data processing step.
Fig. 3 is maximum pd quantity phase resolved plot.
Fig. 4 is mean discharge magnitude phase resolved plot.
Fig. 5 is electric discharge amplitude distribution collection of illustrative plates.
Fig. 6 is discharge time phase resolved plot.
Fig. 7 is φ-Q-N collection of illustrative plates.
Fig. 8 is actual pick-up unit schematic diagram.
Embodiment
The present invention proposes a kind of solid-state transformer partial discharge monitoring method.Below in conjunction with accompanying drawing and particularly embodiment be described in detail:
Embodiment,
As shown in Figure 1, solid-state transformer partial discharge monitoring process flow diagram, comprise the following steps: the hardware device of actual pick-up unit of the present invention comprises solid-state transformer to be measured, current sensor, broadband digital oscillograph, process computer, data storage server, analytic system, current sensor and solid-state transformer ground wire are combined by code and configures, be connected with broadband digital oscillograph by current sensor, broadband digital oscillograph, process computer, data storage server, analytic system are connected (as shown in Figure 8) successively.
Process computer and analytic system install the process and routine analyzer and analysis of developing based on LabView image conversion programming software respectively
1) data acquisition, Leakage Current and power supply trigger pip in real time on the ground wire being obtained corresponding solid-state transformer by wideband current sensor;
2) data summarization, is aggregated into broadband digital oscillograph by above-mentioned real-time current signal by 50 Ω concentric cable;
3) data transmission, the real-time current signal discrete of acquisition is changed into digital signal by broadband digital oscillograph, transfers to process computer by usb protocol;
4) data processing, the real-time current signal data obtained from oscillograph is carried out online filtering process by process computer, obtains local discharge signal;
5) data store, and are preserved in a database by the real-time local discharge signal through process computer process, form shelf depreciation historical current data;
6) data analysis, by local discharge signal analytic system to above-mentioned shelf depreciation historical current data analysis, extracts characteristic parameter, forms the characteristic spectrum for insulation judgement and monitoring analysis.
Described step 4) data processing step as follows:
401. process computers carry out empirical mode decomposition (EMD) filtering process to the described real-time current signal transferred;
The filtered signal obtained in step 401 is carried out the process that takes absolute value by 402. process computers;
The absolute value data obtained in step 402 is dispelled white noise by the setting of upper threshold by 403. process computers;
The concussion data obtained in step 403 are obtained effective impulse local discharge signal by conventional windowing method process by 404. process computers.
Described characteristic parameter comprises arrowband Partial discharge signal, maximum pd quantity, mean discharge magnitude and discharge time, wherein:
Described arrowband Partial discharge signal is the peak value of effective Partial discharge signal under certain narrow band frequency;
Described maximum pd quantity is the maximal value that in single sine power supply signal activation period, pulse amplitude is put in office;
Described mean discharge magnitude is the mean value that in single sine power supply signal activation period, pulse amplitude is put in office;
Described discharge time is discharge time in single sine power supply signal activation period.
Described characteristic spectrum comprises:
Maximum pd quantity phase resolved plot, represents the maximum pd quantity (as shown in Figure 3) being distributed in each several part in whole phase region;
Mean discharge magnitude phase resolved plot, represents the mean discharge magnitude (as shown in Figure 4) being distributed in each several part in whole phase region;
Electric discharge amplitude distribution collection of illustrative plates, represents the statistics (as shown in Figure 5) of the discharge time to different amplitude; ;
Discharge time phase resolved plot, represents the discharge time (as shown in Figure 6) being distributed in each several part in whole phase region;
φ-Q-N collection of illustrative plates, represents discharge capacity, relation (as shown in Figure 7) between discharge time and discharge phase.
In above-mentioned data analysis step, analyzing software system, by carrying out Treatment Analysis to the data collected, can realize following characteristics:
1. analytic system by obtain from solid-state transformer and treated local discharge signal, according to the difference of characteristic parameter and TuPu method, the ageing state of solid-state transformer is finally divided into early stage, mid-term, the middle and later periods and critical days four-stage, and the logging data in early stage of experimentally gained, provide the degree of confidence of judgement;
2. system supports self study and fuzzy reasoning, and stacking-type will image data and logging data as study foundation, make reasoning and judging more tally with the actual situation in earlier stage;
3. system support remote monitoring, with solid-state transformer with the use of can only prosthetic appliance can not full action time, realize remote handle judge and operation.
In sum, solid-state transformer partial discharge monitoring method of the present invention, by monitoring the characteristic signal of the curent change on solid-state transformer ground wire to be measured as the insulation ag(e)ing of differentiation solid-state transformer, utilize characteristic spectrum at the feature difference of different time, effectively can detect the state of insulation of solid-state transformer, for the on-line checkingi of solid-state transformer and supervision provide practicable method, realize self-contr ol and the reparation of intelligent distribution network, meet safe and stable operation requirement.
Claims (4)
1. a solid-state transformer partial discharge monitoring method, is characterized in that, comprises the following steps:
1) data acquisition, Leakage Current and power supply trigger pip in real time on the ground wire being obtained corresponding solid-state transformer by wideband current sensor;
2) data summarization, is aggregated into broadband digital oscillograph by above-mentioned real-time current signal by 50 Ω concentric cable;
3) data transmission, the real-time current signal discrete of acquisition is changed into digital signal by broadband digital oscillograph, transfers to process computer by usb protocol;
4) data processing, the real-time current signal data obtained from oscillograph is carried out online filtering process by process computer, obtains local discharge signal;
5) data store, and are preserved in a database by the real-time local discharge signal through process computer process, form shelf depreciation historical current data;
6) data analysis, by local discharge signal analytic system to above-mentioned shelf depreciation historical current data analysis, extracts characteristic parameter, forms the characteristic spectrum for insulation judgement and monitoring analysis.
2. a kind of solid-state transformer partial discharge monitoring method according to claim 1, is characterized in that, described step 4) data processing step as follows:
401. process computers carry out EMD filtering process to the described real-time current signal transferred;
The filtered signal obtained in step 401 is carried out the process that takes absolute value by 402. process computers;
The absolute value data obtained in step 402 is dispelled white noise by the setting of upper threshold by 403. process computers;
The concussion data obtained in step 403 are obtained effective impulse local discharge signal by conventional windowing method process by 404. process computers.
3. a kind of solid-state transformer partial discharge monitoring method according to claim 1, it is characterized in that, described characteristic parameter comprises arrowband Partial discharge signal, maximum pd quantity, mean discharge magnitude and discharge time, wherein:
Described arrowband Partial discharge signal is the peak value of effective Partial discharge signal under certain narrow band frequency;
Described maximum pd quantity is the maximal value that in single sine power supply signal activation period, pulse amplitude is put in office;
Described mean discharge magnitude is the mean value that in single sine power supply signal activation period, pulse amplitude is put in office;
Described discharge time is discharge time in single sine power supply signal activation period.
4. a kind of solid-state transformer partial discharge monitoring method according to claim 1, it is characterized in that, described characteristic spectrum comprises:
Maximum pd quantity phase resolved plot, represents the maximum pd quantity being distributed in each several part in whole phase region;
Mean discharge magnitude phase resolved plot, represents the mean discharge magnitude being distributed in each several part in whole phase region;
Electric discharge amplitude distribution collection of illustrative plates, represents the statistics of the discharge time to different amplitude;
Discharge time phase resolved plot, represents the discharge time being distributed in each several part in whole phase region;
Φ-Q-N collection of illustrative plates, represents discharge capacity, relation between discharge time and discharge phase.
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Cited By (5)
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| CN105044577A (en) * | 2015-08-25 | 2015-11-11 | 国网天津市电力公司 | Partial-discharge charged detection method of transformer |
| CN107194476A (en) * | 2017-05-26 | 2017-09-22 | 中国南方电网有限责任公司超高压输电公司天生桥局 | The pre- anti-aging maintenance policy formulating method of transformer based on semi-Markov chain |
| CN112243499A (en) * | 2018-06-08 | 2021-01-19 | 西门子股份公司 | Method for measuring partial discharges in an electric drive system |
| CN112860927A (en) * | 2021-01-31 | 2021-05-28 | 广东省博瑞海曼科技有限公司 | Partial discharge detection data storage method, system and device |
| CN116125214A (en) * | 2022-09-30 | 2023-05-16 | 国网浙江省电力有限公司电力科学研究院 | Partial discharge and electric branch variable frequency measurement method and system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105044577A (en) * | 2015-08-25 | 2015-11-11 | 国网天津市电力公司 | Partial-discharge charged detection method of transformer |
| CN107194476A (en) * | 2017-05-26 | 2017-09-22 | 中国南方电网有限责任公司超高压输电公司天生桥局 | The pre- anti-aging maintenance policy formulating method of transformer based on semi-Markov chain |
| CN107194476B (en) * | 2017-05-26 | 2019-12-10 | 中国南方电网有限责任公司超高压输电公司天生桥局 | aging prevention maintenance strategy making method of transformer based on half Markov chain |
| CN112243499A (en) * | 2018-06-08 | 2021-01-19 | 西门子股份公司 | Method for measuring partial discharges in an electric drive system |
| CN112243499B (en) * | 2018-06-08 | 2023-10-20 | 西门子股份公司 | Method for measuring partial discharge in an electric drive system |
| CN112860927A (en) * | 2021-01-31 | 2021-05-28 | 广东省博瑞海曼科技有限公司 | Partial discharge detection data storage method, system and device |
| CN116125214A (en) * | 2022-09-30 | 2023-05-16 | 国网浙江省电力有限公司电力科学研究院 | Partial discharge and electric branch variable frequency measurement method and system |
| CN116125214B (en) * | 2022-09-30 | 2023-09-29 | 国网浙江省电力有限公司电力科学研究院 | Partial discharge and electric branch variable frequency measurement method and system |
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Effective date of registration: 20170622 Address after: 102206 Beijing city Changping District Zhu Daxinzhuang North Agricultural Road No. 2 Applicant after: North China Electric Power University Applicant after: State Grid Corporation of China Applicant after: China-EPRI Electric Power Engineering Co., Ltd. Applicant after: Electric Power Research Institute of State Grid Shandong Electric Power Company Address before: 102206 Beijing city Changping District Zhu Daxinzhuang North Agricultural Road No. 2 Applicant before: North China Electric Power University Applicant before: State Grid Corporation of China Applicant before: State Grid Smart Grid Institute Applicant before: China-EPRI Electric Power Engineering Co., Ltd. Applicant before: Electric Power Research Institute of State Grid Shandong Electric Power Company |
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