CN112034344A - Real-time online diagnosis method for turn-to-turn short circuit fault of rotor winding of hydraulic generator - Google Patents
Real-time online diagnosis method for turn-to-turn short circuit fault of rotor winding of hydraulic generator Download PDFInfo
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- CN112034344A CN112034344A CN202010939366.0A CN202010939366A CN112034344A CN 112034344 A CN112034344 A CN 112034344A CN 202010939366 A CN202010939366 A CN 202010939366A CN 112034344 A CN112034344 A CN 112034344A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/346—Testing of armature or field windings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/34—Testing dynamo-electric machines
- G01R31/343—Testing dynamo-electric machines in operation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/52—Testing for short-circuits, leakage current or ground faults
Abstract
The application relates to a method for diagnosing the turn-to-turn short circuit fault of a rotor winding of a hydraulic generator in real time on line, wherein a generator set is provided with a synchronous signal sensor, the inner wall of a stator of the generator set is provided with an induced potential sensor and an air gap sensor, a data acquisition device acquires, stores and analyzes the voltage signal of the induced potential sensor, the signal of the air gap sensor and the exciting current signal of the generator set in real time, combines a synchronous pulse signal, and monitors the turn-to-turn working state of each rotor magnetic pole by comparing the shape change of the induced potential waveform of the same rotor magnetic pole at different moments and/or comparing the shape change of the induced potential waveform of the rotor magnetic pole close to the air gap at the, and when the shape variation of the induced potential waveform exceeds a set alarm limit value, judging that the rotor magnetic pole has turn-to-turn short circuit fault. The magnetic pole installing device is convenient to install, high in sensitivity and free of influences of changes of working conditions of the unit and differences of air gaps of original installation of different rotor magnetic poles.
Description
Technical Field
The application relates to a method for diagnosing turn-to-turn short circuit faults of a rotor winding of a hydraulic generator on line in real time.
Background
The turn-to-turn short circuit fault of the rotor winding of the hydraulic generator is a common fault of the hydraulic generator and occurs on a hydroelectric generating set, and the serious turn-to-turn short circuit can cause abnormal shutdown of the hydraulic generator. Common traditional rotor winding turn-to-turn short circuit fault diagnosis methods include off-line diagnosis methods such as a direct current resistance comparison method, an alternating current impedance and power loss method, an alternating current-direct current voltage division method and the like. The methods are lagged behind, poor in real-time performance and long in process time consumption, can be only carried out during shutdown, and dynamic turn-to-turn short circuit faults generated during rotation can not be detected.
In recent years, the technology of online diagnosis of the turn-to-turn short circuit of the rotor winding of the hydraulic generator is reported. For example, the method for diagnosing the exciting current of the hydraulic generator is used for judging by comparing the difference degree between the theoretical exciting current and the actually monitored exciting current, but because the relative value of the change of the exciting current is small when the unit has turn-to-turn short circuit, and factors influencing the exciting current, such as the turn-to-turn short circuit, the temperature of a rotor coil, the operation condition of the unit and the like, are also insufficient in the aspects of sensitivity and reliability of diagnosis.
The method for diagnosing the inter-turn short circuit fault of the rotor winding of the hydraulic generator by on-line monitoring and diagnosis based on the amplitude difference of the induced voltages of the detection coils at different magnetic poles is an effective method at present. The turn-to-turn short circuit fault of the rotor winding of the hydraulic generator can be diagnosed based on the amplitude difference of the induced voltages of the detection coils at different magnetic poles. However, this method cannot solve the problem that the difference of the induced voltage amplitudes at different magnetic poles changes due to the difference of air gaps at different magnetic poles and different working conditions, and thus has a deficiency in the effectiveness and sensitivity of diagnosis. In addition, the detection coil is relatively troublesome to install in the field.
Disclosure of Invention
The technical problem solved by the application is to overcome the defects in the prior art, and provide a real-time intelligent diagnosis method for the turn-to-turn short circuit fault of the rotor winding of the hydraulic generator, which is convenient to install, high in sensitivity and free from the influence of the change of the working condition of a unit and the difference of the originally installed air gaps of different rotor magnetic poles, so that the real-time monitoring and intelligent diagnosis level of the turn-to-turn short circuit of the rotor winding of the hydraulic generator is improved.
The technical scheme adopted by the application for solving the technical problems is as follows: a real-time on-line diagnosis method for the turn-to-turn short circuit fault of rotor winding of hydraulic generator features that a sensor is installed to generator set, which has an induced potential sensor and an air gap sensor on its stator, a data acquisition unit connected to said sensors and said exciting current signals, a synchronous signal sensor for locating the induced potential waveform of each magnetic pole, and comparing the induced potential waveform of same magnetic pole under same working condition (same exciting current voltage) at different time (historical sample data with current data), or comparing the shape change of the induced potential waveform of two adjacent magnetic poles in the air gap at the same moment, sensitively monitoring the turn-to-turn working state of each magnetic pole, and judging the serious program and the deterioration trend of turn-to-turn short circuit by the shape change condition of the induced potential waveform of the induced potential sensor. And when the shape variation of the induced potential waveform exceeds a set alarm limit value, judging that the rotor magnetic pole has turn-to-turn short circuit fault.
In the running process of the generator set, the data acquisition device synchronously acquires a voltage signal output by the induction potential sensor, an air gap signal output by the air gap sensor and an exciting current signal reflecting the working condition of the generator set.
Preferably, the induced potential sensor adopts a Hall principle, the surface of the induced potential sensor is poured by insulating resin, the induced potential sensor is provided with a signal cable (the length is set according to actual needs, for example, 10 meters), the signal cable is fixed on the inner wall of the stator core in a pasting mode, and the signal cable is led out through a vent hole in the upper part of the stator and is connected to a data acquisition device through a terminal box.
Preferably, the method selects waveform data and air gap data of the induced potential of each rotor magnetic pole i in real time, and calculates and reflects the root mean square value V of the real-time data of the induced potential of each rotor magnetic pole iRMS(i) Sequentially comparing the induction potential real-time data root mean square value V of the selected rotor magnetic pole iRMS(i) Root mean square value V of real-time data of induced potential of rotor magnetic pole k closest to air gapRMS(k) When V isRMS(i)- VRMS(k) And when the value is less than the set alarm limit value, judging that the rotor magnetic pole i has turn-to-turn short circuit fault. In the same way, the turn-to-turn short circuit state of each magnetic pole can be monitored in real time.
Preferably, the method firstly establishes the root mean square value W of the induced potential sample data under each working condition in a manual or automatic modeRMS(i, j) (i is the rotor magnetic pole, j is the working condition). The artificial mode is that the root mean square value of certain historical induced potential waveform data under each working condition (10% rated current is one working condition) of the rotor magnetic pole i is manually selected as sample data of each working condition. The automatic mode is that when the rotor magnetic pole i of the generator set reaches each working condition j for the first time, the data acquisition device automatically acquires and stores the induced potential waveform data at the moment (calculates the root mean square value W in real time)RMS(i, j) as sample data; the method and the device automatically select the root mean square value W of the induced potential sample data under the working condition j of the generator set according to the monitored current working condition jRMS(i, j), comparing the root mean square value V of the induction potential real-time data of the rotor magnetic pole i monitored in real time currentlyRMS(i) And the root mean square value W of the data sample of the induced potential waveformRMS(i, j) when VRMS(i)- WRMSAnd (i, j) when the value is smaller than the set alarm limit value, judging that the rotor magnetic pole i has turn-to-turn short circuit fault. In the same way, the turn-to-turn short circuit state of each magnetic pole can be monitored in real time.
Preferably, the root mean square difference value V calculated by monitoring the two methods can be used in the present applicationRMS(i)- VRMS(k) And VRMS(i)- WRMS(i, j), evaluating and tracking the severity and deterioration trend of i turn-to-turn short circuit of the rotor magnetic pole.
Preferably, the method integrates the two turn-to-turn short circuit real-time intelligent diagnosis methods. When any one of the methods finds that the rotor magnetic pole has the turn-to-turn short circuit fault, the data acquisition device judges that the generator set has the turn-to-turn short circuit fault.
Compared with the prior art, the application has the following advantages and effects:
(1) the sensor monitoring principle and the installation method are simple, the installation can be facilitated in the installation stage or the maintenance stage of the generator set, the normal operation of the generator set cannot be influenced, and the maintenance is convenient.
(2) The method and the device have high diagnosis sensitivity and strong diagnosis real-time performance, can find slight turn-to-turn short circuit faults, and the diagnosis result is not influenced by the working condition change of the generator set and the difference of air gaps of original installation of different rotor magnetic poles.
(3) According to the method, the severity and deterioration trend of the turn-to-turn short circuit of the rotor magnetic pole can be evaluated quantitatively by calculating, analyzing and reflecting the variation of the root-mean-square difference value of the turn-to-turn short circuit.
Drawings
Fig. 1 is a schematic flow chart of a method for intelligently diagnosing turn-to-turn short circuit faults of a rotor winding of a hydraulic generator in real time according to the present application.
Fig. 2 is a schematic view of an installation position of an induced potential sensor according to an embodiment of the present application.
Fig. 3 is a top view of an inductive potential sensor of an embodiment of the present application.
Fig. 4 is an enlarged schematic view of a partial side of fig. 2.
In the figure, 1-induced potential sensor, 2-air gap sensor, 3-synchrokey phase sensor (synchronous signal sensor), 4-rotor, 5-stator, i-rotor magnetic pole.
Detailed Description
The present application will be described in further detail below with reference to the accompanying drawings by way of examples, which are illustrative of the present application and are not limited to the following examples.
Referring to fig. 1 to 4, the basic configuration of the present embodiment is that a generator set (including a stator 5 and a rotor 4, and a plurality of rotor poles i are installed on the rotor 4) in the prior art, and includes the following steps.
1) An induced potential sensor 1 and an air gap sensor 2 are arranged on the inner wall of a stator 5 of the generator set (if the generator set is arranged, the existing air gap sensor signals are utilized). The utility model provides an induced electromotive force sensor 1 adopts hall principle, and induced electromotive force sensor 1 surface adopts insulating resin to pour into a mould, and the size is less, adopts the mode of pasting to fix at the stator inner wall, and induced electromotive force sensor 1 draws forth from taking 10 meters signal cable and through the ventilation hole on 5 upper portions of stator, and rethread terminal box is connected to data acquisition device.
2) The data acquisition device synchronously samples a voltage signal output by an induction potential sensor 1, a signal output by an air gap sensor 2 of a generator set, an exciting current signal reflecting the working condition of the generator set and a synchronous signal output by a synchronous key phase sensor 3 (by utilizing the synchronous key phase sensor installed on the generator set). Sampling is controlled by a signal of the synchronous key phase sensor 3, and in order to accurately monitor the induced potential shape of each rotor magnetic pole i (i is a positive integer and is a magnetic pole number), each rotor magnetic pole i samples at least 128 points in a whole period. The data acquisition device calculates the root mean square value V of the real-time data of the induced potential of each rotor magnetic pole i in real timeRMS(i) In that respect The signal of the synchronous key phase sensor 3 is combined to induce the real-time data root mean square value V of the electric potentialRMS(i) The actual poles of the generator rotor can be accurately positioned.
The following steps 3 and 4 can be carried out to monitor the running of the generator set, and the following step 5 can also be carried out to monitor the running of the generator set:
3) the method comprises the steps of trial running for a period of time under the normal working state of a generator set, obtaining the root mean square value W of induced potential sample data of all rotor magnetic poles i under different running working conditions j (10% of rated current is one working condition)RMSAnd (i, j) (j is a working condition), and establishing induction potential sample data of all rotor magnetic poles i of the generator set under all working conditions j.
4) According to the current real-time monitored induction potential real-time data root mean square value V of the rotor magnetic pole iRMS(i) And a generator unit working condition j, automatically selecting the induction potential sample data root mean square value W under the generator unit working condition j established according to the method in the step 3)RMS(i, j) when VRMS(i)- WRMSAnd (i, j) when the value is smaller than the set alarm limit value, judging that the rotor magnetic pole i has turn-to-turn short circuit fault. In the same way, the turn-to-turn short circuit state of each rotor magnetic pole can be monitored in real time.
5) Real-time comparison of root mean square value V of induced potential real-time data of rotor magnetic pole iRMS(i) And the root mean square value V of the induced potential real-time data of the rotor magnetic pole kRMS(k) And the rotor magnetic pole k is the rotor magnetic pole k with the air gap value closest to the air gap value of the rotor magnetic pole i (the rotor magnetic pole k is the magnetic pole next to the rotor magnetic pole i, namely the rotor magnetic pole i +1 or the rotor magnetic pole i-1, and data are monitored by using an air gap sensor). When V isRMS(i)- VRMS(k) And when the value is less than the set alarm limit value, judging that the rotor magnetic pole i has turn-to-turn short circuit fault. In the same way, the turn-to-turn short circuit state of each rotor magnetic pole can be monitored in real time.
6) The method integrates the steps 3), 4) and 5) into a whole. When the inter-turn short circuit fault of the rotor magnetic pole is found by one method, the data acquisition device judges that the inter-turn short circuit fault of the generator set exists. By monitoring the root mean square difference VRMS(i)- VRMS(k) And VRMS(i)- WRMS(i, j), evaluating and tracking the severity and deterioration trend of the turn-to-turn short circuit fault of the magnetic poles.
While the embodiments of the present application have been disclosed above, it is not limited to the applications listed in the description and the embodiments, which are fully applicable in a variety of fields suitable for this application, and further modifications may readily occur to those skilled in the art, and it is therefore not intended to be limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (6)
1. A method for diagnosing the turn-to-turn short circuit of rotor winding of hydraulic generator in real time features that a synchronous signal sensor is arranged on the generator set, and is characterized by that an inductive potential sensor and an air gap sensor are installed to the inner wall of stator of generator set, a data acquisition unit is connected to said inductive potential sensor, air gap sensor, synchronous signal sensor and exciting current signal, and said data acquisition unit can real-time acquire, store and analyze the voltage signal, air gap sensor signal and exciting current signal of generator set, and combine the synchronous pulse signals of synchronous signal sensor, and monitoring the inter-turn working state of each rotor magnetic pole, and judging that the inter-turn short circuit fault exists in the rotor magnetic pole when the variation of the shape of the induced potential waveform exceeds a set alarm limit value.
2. The method for real-time online diagnosis of the turn-to-turn short circuit fault of the rotor winding of the hydraulic generator according to claim 1, which is characterized in that: the inductive potential sensor adopts a Hall principle, the surface of the inductive potential sensor is poured by insulating resin, the inductive potential sensor is provided with a signal cable, and the signal cable is fixed on the inner wall of the stator core in a sticking mode and led out to the data acquisition device through a vent hole in the upper part of the stator.
3. The method for real-time online diagnosis of the turn-to-turn short circuit fault of the rotor winding of the hydraulic generator according to claim 1, which is characterized in that: the data acquisition device acquires the induced potential waveform data and the air gap data of each rotor magnetic pole i in real time, and calculates and reflects the root mean square value V of the induced potential real-time data of each rotor magnetic pole iRMS(i) Sequentially comparing the induction potential real-time data root mean square value V of the selected rotor magnetic pole iRMS(i) Root mean square value V of real-time data of induced potential of rotor magnetic pole k closest to air gapRMS(k) When V isRMS(i)- VRMS(k) And when the value is less than the set alarm limit value, judging that the rotor magnetic pole i has turn-to-turn short circuit fault.
4. The method for real-time online diagnosis of the turn-to-turn short circuit fault of the rotor winding of the hydraulic generator according to claim 1, which is characterized in that: the data acquisition device establishes the root mean square value W of the induced potential sample data under the working condition j of each generator setRMS(I, j), the data acquisition device monitors the current generator setThe mean square root value W of induced potential sample data under the working condition j of the generator set is automatically selected under the working condition jRMS(i, j), comparing the root mean square value V of the induction potential real-time data of the rotor magnetic pole i monitored in real time currentlyRMS(i) And the root mean square value W of the induction potential sample dataRMS(i, j) when VRMS(i)- WRMSAnd (i, j) when the value is smaller than the set alarm limit value, judging that the rotor magnetic pole i has turn-to-turn short circuit fault.
5. The hydro-generator rotor winding turn-to-turn short circuit fault real-time online diagnosis method according to claim 4, which is characterized in that: the root mean square value W of the induction potential sample dataRMSAnd (I, j) selecting and determining in a manual mode.
6. The hydro-generator rotor winding turn-to-turn short circuit fault real-time online diagnosis method according to claim 4, which is characterized in that: the root mean square value W of the induction potential sample dataRMSAnd (I, j) is obtained by adopting an automatic mode for calculation, and the data acquisition device automatically acquires and stores induced potential waveform data of the generator set rotor magnetic pole I when the generator set rotor magnetic pole I reaches each working condition j for the first time as sample data.
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| CN202010939366.0A CN112034344A (en) | 2020-09-09 | 2020-09-09 | Real-time online diagnosis method for turn-to-turn short circuit fault of rotor winding of hydraulic generator |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113391235A (en) * | 2021-06-04 | 2021-09-14 | 华北电力大学（保定） | System and method for detecting dynamic turn-to-turn short circuit fault of synchronous generator rotor |
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| CN1869719A (en) * | 2006-06-15 | 2006-11-29 | 西安交通大学 | On-line monitoring method for winding turn-to-turn short-circuit of distribution generator stator based on multi-criterion mixing |
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Application publication date: 20201204 |