CN113931781A - Noise fault source-based hydroelectric generating set abnormal working condition protection system - Google Patents
Noise fault source-based hydroelectric generating set abnormal working condition protection system Download PDFInfo
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- CN113931781A CN113931781A CN202111186804.1A CN202111186804A CN113931781A CN 113931781 A CN113931781 A CN 113931781A CN 202111186804 A CN202111186804 A CN 202111186804A CN 113931781 A CN113931781 A CN 113931781A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03B—MACHINES OR ENGINES FOR LIQUIDS
- F03B11/00—Parts or details not provided for in, or of interest apart from, the preceding groups, e.g. wear-protection couplings, between turbine and generator
- F03B11/008—Measuring or testing arrangements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/06—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by electric means
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/20—Hydro energy
Abstract
The invention discloses a noise fault source-based hydroelectric generating set abnormal condition protection system, which comprises a sound signal acquisition unit, a sound signal processing unit, a signal characteristic quantity judgment unit and a database, wherein the sound signal acquisition unit is used for acquiring a sound signal, transmitting the sound signal to the sound signal processing unit, processing and analyzing the sound signal and then converting the sound signal into the signal characteristic quantity, and transmitting the signal characteristic quantity judgment unit and the database to judge the signal characteristic quantity in the next step; if the signal characteristic quantity does not exceed the standard, an accident parameter recording and intelligent learning unit is started to record and file the operation parameters and enrich the signal characteristic quantity judgment and database, so that the signal characteristic quantity judgment and database is learned and the function is complete. The invention provides reliable protection for the hydroelectric generating set under abnormal working conditions.
Description
Technical Field
The invention belongs to the technical field of hydroelectric power generation, and particularly relates to a hydroelectric generating set abnormal working condition protection system based on a noise fault source.
Background
The main accident types considered in the protection system of the hydroelectric generating set mainly comprise three categories of mechanical accidents, electrical accidents and emergency accidents, and the related accident sources respectively comprise the following factors:
mechanical accidents: the temperature of a bearing bush of the unit is too high, the temperature of a stator core, the temperature of a winding, the temperature of a tooth pressing plate and the like, the unit runout exceeds the standard, the emergency button of the speed regulator cabinet acts, the cooling water flow of the bearing is interrupted in a power generation state, any two temperature branches are too high, the mechanical accident of the water machine protection cabinet stops, and the serious faults of the A set and the B set of the electric speed regulator cabinet and the like.
Electrical accidents: the method comprises the following steps of LCU cabinet electrical accident button action, generator protection shutdown action, main transformer A set or B set accident shutdown action, excitation system communication fault, water machine protection cabinet electrical accident shutdown action, central control room electrical accident soft button action, fire alarm + soft pressing plate, grid connection + demagnetization switch accidental opening and the like.
Emergency accidents: main matching rejection + rotating speed > 115% + no-load above + delay 3 s; the governor accident low oil pressure; the rotating speed of the unit is larger than 155%, the mechanical over-speed protection device of the unit acts, a shearing pin is sheared in the accident shutdown process, an accident pressure distribution valve acts, the water machine protection cabinet acts in an emergency accident shutdown mode, the LCU acts in an emergency shutdown button, the central control room acts in an emergency shutdown soft button, and the unit water-flooded workshop + soft pressing plate + time delay is 1 s.
The water turbine generator set is a complex and fine system fusion body comprising a plurality of subsystems, the safe and stable operation of each system is the premise and guarantee of the safe and stable operation of the whole water turbine generator set, and any link has problems but cannot find and solve the problems in time, so that serious consequences of machine damage and human death can be caused, and therefore, the reasonable and reliable protection system for the water turbine generator set is very necessary and meaningful work.
The traditional protection system of the water turbine generator set is mature, the safety of the set can be protected when most abnormal conditions of the set occur, however, in a power station with a complex hydrological condition and a poor water quality condition, abnormal sound of the set caused by foreign matters entering a runner of the set occurs, the set is shut down by manually actuating an LCU emergency stop button after the abnormal sound is continuously emitted for about 18 seconds, and then through accident data analysis and runner inspection, it is found that all protection related to the set monitoring system does not reach a stop action value, but obvious mechanical structure damage occurs to a guide vane and a runner blade of the set, so that adverse effects are certainly brought to the next operation stability and safety of the set, the later-period maintenance is shortened, and the operation and maintenance cost of the set is increased. This event illustrates that the conventional protection system needs to be further refined.
How to solve the defects is the problem that whether the technical development process of remote control can be stably promoted or not is inevitable for ensuring the safe and stable operation of the hydroelectric generating set, particularly the unattended and unattended few people of the hydropower station.
Disclosure of Invention
Aiming at the defects of the existing hydroelectric generating set protection system, the invention provides a hydroelectric generating set abnormal working condition protection system based on a noise fault source, which perfects and supplements the protection system of a hydroelectric generating set based on the consideration of the sound factor of the hydroelectric generating set and solves the problem that the protection system of the hydroelectric generating set cannot timely and accurately act under certain abnormal working conditions.
In order to achieve the purpose, the invention adopts the technical scheme that:
a hydroelectric generating set abnormal working condition protection system based on a noise fault source comprises a sound signal generating unit 1, a sound signal collecting unit 2, a sound signal processing unit 3 and a shutdown protection unit 4;
the sound signal of the sound signal generating unit 1 is collected by the sound signal collecting unit 2, transmitted to the sound signal processing unit 3, processed and analyzed and converted into signal characteristic quantity, and then transmitted to the shutdown protection unit 4 for signal characteristic quantity judgment and database 4.1;
if the signal characteristic quantity exceeds the standard, on one hand, the shutdown protection unit 4.2 is triggered to shutdown and give an alarm, on the other hand, the accident parameter recording and intelligent learning unit 4.3 is started to record and archive accident parameters and enrich the signal characteristic quantity judgment and database 4.1, so that the signal characteristic quantity judgment and database 4.1 is used for learning and function improvement;
if the signal characteristic quantity does not exceed the standard, the accident parameter recording and intelligent learning unit 4.3 is started to record and archive the operation parameters and enrich the signal characteristic quantity judging and database 4.1, so that the signal characteristic quantity judging and database 4.1 is used for learning and function improvement.
The sound signal generating unit 1 is a water turbine generator set, and abnormal fault noise is generated when the water turbine generator set is in an abnormal working condition, and the abnormal fault noise is a sound signal.
The sound signal acts as a factor in triggering the protection system.
The sound signal acquisition unit 2 adopts a capacitive sound sensor with the model as follows: AWA14423+ AWA14604, and the performance parameters are as follows: the sensitivity is 50mv/pa, the signal dynamic range is 17-140 dB, the frequency range is 0.01-20 KHz, eight are arranged, the eight are distributed outside the top cover of the turbine chamber, the radial distance from the guide vane reference circle to the top cover is 20-50cm, the radial distance from the guide vane reference circle to the top cover mounting plane is 10cm, the eight are uniformly distributed at an interval of 45 degrees, and four of the eight are respectively positioned in the + X, -X, + Y, -Y directions.
The sound signal processing unit 3 adopts an industrial series acquisition instrument NI9234 with the model CT-DAQ-9185, and the performance parameters of the dynamic signal acquisition module are as follows: the 4-channel simultaneous sampling highest speed is 51.2kS/s, the signal dynamic range is 102dB, the integrated circuit piezoelectric (IEPE) signal conditioning of 2mA constant current can be carried out, the integrated circuit piezoelectric (IEPE) signal conditioning is used for processing noise signals, the module also comprises a built-in anti-aliasing filter, the sampling rate can be automatically adjusted, the sound signals are converted from a time domain to a frequency domain by applying a Fourier analysis method, the frequency spectrum structure and the change of the signals are analyzed, and the processing steps of the sound signals are as follows: firstly, Fourier transform is carried out on signals, and the signals are transformed from a time domain to a frequency domain; then, the abnormal frequency components of the sound are kept in the frequency spectrum, and other frequency components are filtered; and finally, carrying out inverse Fourier transform on the obtained frequency spectrum to obtain a filtered signal, wherein the characteristic signal comprises abnormal decibels, abnormal frequency, abnormal amplitude and abnormal signal duration.
The shutdown protection unit 4 is developed based on LabVIEW and has the functions of real-time dynamic curves, historical data viewing, alarm value setting, signal characteristic quantity judgment and database, accident parameter recording and intelligent learning.
The system can work as a single system, and can be embedded into the existing protection system to supplement and perfect.
The invention has the beneficial effects that:
the invention provides a noise fault source-based hydroelectric generating set abnormal condition protection system, which adopts a sound signal as a factor for triggering a protection system and supplements and strengthens the conventional fault consideration factor.
Furthermore, the invention can work as a system alone, and can also be embedded into the existing protection system to supplement and perfect. The abnormal problem of the unit exposed based on the sound signal under some special working conditions is found and solved in time, so that the unit protection is timely and reliably operated, the further development of the damage of the unit structure is reduced, and the operation and maintenance cost of the unit is reduced.
Furthermore, as the use time and the action times of the intelligent power plant monitoring system increase, the accident parameter recording and intelligent learning unit continuously fills and perfects a system database, establishes a unit operation file, provides technical support for unit fault diagnosis, and is beneficial to the construction of an intelligent power plant.
In conclusion, the intelligent protection system is simple and ingenious in structure, has intelligent learning capacity, is more powerful in function, overcomes the defects of a traditional protection system, provides reliable protection for the hydroelectric generating set under abnormal working conditions, and reduces the operation and maintenance cost of the generating set.
Drawings
Fig. 1 is a schematic diagram of an abnormal condition protection system of a hydroelectric generating set based on a noise fault source.
The reference numbers in the figures mean:
1. a sound signal generating unit; 2. a sound signal acquisition unit; 3. a sound signal processing unit; 4. and a shutdown protection unit.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings:
as shown in fig. 1, the abnormal working condition protection system for the hydroelectric generating set based on the noise fault source provided by the invention comprises a sound signal generating unit 1, a sound signal collecting unit 2, a sound signal processing unit 3 and a shutdown protection unit 4.
The sound signal generation unit 1 is used as a research object, the sound signal acquisition unit 2 is used for acquiring sound signals, the sound signals are transmitted to the sound signal processing unit 3, the sound signals are processed and analyzed and then converted into signal characteristic quantities, the signal characteristic quantities are transmitted to the shutdown protection unit 4 for judgment 4.1, if the signal characteristic quantities exceed the standard, on one hand, the shutdown protection unit 4.2 is triggered to shut down and give an alarm, on the other hand, the accident parameter recording and intelligent learning unit 4.3 is started to record and archive accident parameters and fill the signal characteristic quantity judgment and database 4.1, so that the signal characteristic quantity judgment and database 4.1 is used for learning and function improvement; if the signal characteristic quantity does not exceed the standard, the accident parameter recording and intelligent learning unit 4.3 is started to record and archive the operation parameters and enrich the signal characteristic quantity judging and database 4.1, so that the signal characteristic quantity judging and database 4.1 is used for learning and function improvement.
Wherein, the sound signal generating unit 1 is a water turbine generator set.
A further development of the invention consists in using the characteristic parameters of the sound signal as factors for triggering the protection system.
The invention is further improved in that it can work as a system alone or can be built into existing protection systems to complement and improve.
The invention has the further improvement that as the use time and the action times of the system increase, the accident parameter recording and intelligent learning links continuously enrich and perfect the system database, establish the unit operation file and provide technical support for unit fault diagnosis.
Claims (7)
1. A hydroelectric generating set abnormal working condition protection system based on a noise fault source is characterized by comprising a sound signal generating unit (1), a sound signal collecting unit (2), a sound signal processing unit (3) and a shutdown protection unit (4);
the sound signal of the sound signal generating unit (1) is collected by the sound signal collecting unit (2), transmitted to the sound signal processing unit (3), processed and analyzed and converted into signal characteristic quantity, and then transmitted to the shutdown protection unit (4) for judgment (4.1);
if the signal characteristic quantity exceeds the standard, on one hand, a shutdown protection unit (4.2) is triggered to shut down and give an alarm, on the other hand, an accident parameter recording and intelligent learning unit (4.3) is started to record and archive accident parameters and enrich a signal characteristic quantity judgment and database (4.1), so that the signal characteristic quantity judgment and database (4.1) is used for learning and function improvement;
if the signal characteristic quantity does not exceed the standard, an accident parameter recording and intelligent learning unit (4.3) is started to record and archive the operation parameters and enrich the signal characteristic quantity judging and database (4.1), so that the signal characteristic quantity judging and database (4.1) is used for learning and function improvement.
2. The noise fault source-based hydroelectric generating set abnormal condition protection system according to claim 1, wherein the sound signal generating unit (1) is a hydroelectric generating set, and abnormal fault noise is generated when the hydroelectric generating set is in an abnormal condition, and the abnormal fault noise is a sound signal.
3. The noise fault source-based hydroelectric generating set abnormal condition protection system of claim 1, wherein the sound signal is used as a factor for triggering the protection system.
4. The noise fault source-based hydroelectric generating set abnormal condition protection system according to claim 1, wherein the sound signal acquisition unit (2) adopts a capacitive sound sensor with the type as follows: AWA14423+ AWA14604, and the performance parameters are as follows: the sensitivity is 50mv/pa, the signal dynamic range is 17-140 dB, the frequency range is 0.01-20 KHz, eight are arranged, the eight are distributed outside the top cover of the turbine chamber, the radial distance from the guide vane reference circle to the top cover is 20-50cm, the radial distance from the guide vane reference circle to the top cover mounting plane is 10cm, the eight are uniformly distributed at an interval of 45 degrees, and four of the eight are respectively positioned in the + X, -X, + Y, -Y directions.
5. The noise fault source-based hydroelectric generating set abnormal condition protection system according to claim 1, wherein the sound signal processing unit (3) adopts an industrial-grade acquisition instrument NI9234 with model CT-DAQ-9185, and the dynamic signal acquisition module has performance parameters as follows: the 4-channel simultaneous sampling highest speed is 51.2kS/s, the signal dynamic range is 102dB, the integrated circuit piezoelectric (IEPE) signal conditioning of 2mA constant current can be carried out, the integrated circuit piezoelectric (IEPE) signal conditioning is used for processing noise signals, the module also comprises a built-in anti-aliasing filter, the sampling rate can be automatically adjusted, the sound signals are converted from a time domain to a frequency domain by applying a Fourier analysis method, the frequency spectrum structure and the change of the signals are analyzed, and the processing steps of the sound signals are as follows: firstly, Fourier transform is carried out on signals, and the signals are transformed from a time domain to a frequency domain; then, the abnormal frequency components of the sound are kept in the frequency spectrum, and other frequency components are filtered; and finally, carrying out inverse Fourier transform on the obtained frequency spectrum to obtain a filtered signal, wherein the characteristic signal comprises abnormal decibels, abnormal frequency, abnormal amplitude and abnormal signal duration.
6. The noise fault source-based hydroelectric generating set abnormal condition protection system as claimed in claim 1, wherein said shutdown protection unit (4) is developed based on LabVIEW, and has functions of real-time dynamic curve, historical data viewing, alarm value setting, signal characteristic quantity judgment and database, accident parameter recording and intelligent learning.
7. The noise fault source-based hydroelectric generating set abnormal condition protection system according to claim 1, wherein the system can be operated as a single system and can be embedded into an existing protection system to supplement and improve.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002070714A (en) * | 2000-08-28 | 2002-03-08 | Toshiba Eng Co Ltd | Noise control system and hydroelectric power generation system for hydroelectric power station |
| CN110319876A (en) * | 2019-05-20 | 2019-10-11 | 国家电网有限公司 | A kind of state monitoring method and device of hydrogenerator |
| CN113049953A (en) * | 2021-02-25 | 2021-06-29 | 国网新源控股有限公司 | Method, apparatus, medium, and device for fault localization through noise |
| CN113470694A (en) * | 2021-04-25 | 2021-10-01 | 重庆市科源能源技术发展有限公司 | Remote listening monitoring method, device and system for hydraulic turbine set |
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2021
- 2021-10-12 CN CN202111186804.1A patent/CN113931781A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002070714A (en) * | 2000-08-28 | 2002-03-08 | Toshiba Eng Co Ltd | Noise control system and hydroelectric power generation system for hydroelectric power station |
| CN110319876A (en) * | 2019-05-20 | 2019-10-11 | 国家电网有限公司 | A kind of state monitoring method and device of hydrogenerator |
| CN113049953A (en) * | 2021-02-25 | 2021-06-29 | 国网新源控股有限公司 | Method, apparatus, medium, and device for fault localization through noise |
| CN113470694A (en) * | 2021-04-25 | 2021-10-01 | 重庆市科源能源技术发展有限公司 | Remote listening monitoring method, device and system for hydraulic turbine set |
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