CN109100608A - A kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm - Google Patents

A kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm Download PDF

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Publication number
CN109100608A
CN109100608A CN201810802419.7A CN201810802419A CN109100608A CN 109100608 A CN109100608 A CN 109100608A CN 201810802419 A CN201810802419 A CN 201810802419A CN 109100608 A CN109100608 A CN 109100608A
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fault
double
fed fan
rotor
diagnostic method
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许伯强
郑泽慧
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North China Electric Power University
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North China Electric Power University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/72Testing of electric windings

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  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The diagnostic method of the invention discloses a kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm belongs to the technical field of electric system double-fed fan trouble detection.Characteristic mechanisms of the diagnostic method in analysis interturn in stator windings short trouble, establish the double-fed fan stator shorted-turn fault model based on MATLAB/Simulink, it determines the fault characteristic frequency of rotor-side electric current and rotor instantaneous power spectrum and completes the Amplitude Estimation to two fault characteristic frequencies using Prony algorithm, the fusion of further progress D-S information determines failure, the recognition capability for effectively increasing fault mode has some reference value to the Study on Fault of Large Scale Wind Farm Integration.

Description

A kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm Diagnostic method
Technical field
The present invention relates to the technical fields of electric system double-fed fan trouble detection, in particular to a kind of to be based on D-S information The diagnostic method of the double-fed fan stator shorted-turn fault of blending algorithm.
Background technique
Currently, countries in the world most attention wind-power electricity generation and competitively greatly developing, technically it is constantly progressive increasingly mature.With The installed capacity of wind power generating set be continuously increased, shared ratio is year by year in the entire power system for wind-power electricity generation total capacity Increase, has positive meaning to China's energy-saving and emission-reduction, pollution administration, improvement energy supply structure, however this also sends out wind-force More stringent requirements are proposed for motor group reliability of operation and stability.Event of the winding interturn short-circuit failure in wind power generating set The ratio accounted in barrier type is bigger, and harm is very serious, therefore analyzes aerogenerator stator shorted-turn fault mechanism And propose that corresponding detection method is of great significance to the safe and reliable operation of wind power generating set.
Double-feedback aerogenerator group is since its advantage of lower cost, technology are also more mature, in current wind-power electricity generation system Using very extensive in system, its typical fault component include stator winding, rotor windings, current transformer, generator bearing and The key sensor etc. of control system.Failure investigation shows that the various main typical fault type proportions of motor are as follows: gear Failure (40%), stator failure (38%), rotor fault (10%), other (12%).When internal winding occurs for wind-driven generator The generations such as generator speed, stator voltage, active power are vibrated when shorted-turn fault.Therefore, double-feedback type wind generator is studied Machine stator winding interturn short-circuit incipient failure is to the reliability operation for improving Wind turbines and the maintenance expense apparatus of reduction wind power plant There is important meaning.
Fault detection and maintenance for blower critical component are constantly subjected to the attention of people, however as Wind turbines by Land develops in large quantities to sea and single-machine capacity is increasing, and fan repair cost is greatly improved, simultaneous faults shutdown pair The stability of power grid causes greatly to damage.Fault detection and maintenance mode traditional at this time has been difficult to meet the requirements.In addition, wind-force For units' installation on shaft tower, general shaft tower has tens meters of height, this makes the difficulty of periodic inspection and maintenance big, expense It is high.So the necessary fault signature to when initial failure occurs inside double fed induction generators winding is researched and analysed, If can keep a close eye in the early stage, discovery phenomenon of the failure as early as possible, accurate judgement failure cause and position, so that it may in time The development trend of trace analysis failure, reasonable arrangement maintenance and replacement plan, it is serious for avoiding interim maintenance behavior and development Massive losses after failure.This has great economic benefit to the safe operation for ensureing wind power system.
Summary of the invention
The present invention is directed to the defect and deficiency of existing fault detection technique, provides a kind of based on D-S information fusion algorithm The diagnostic method of double-fed fan stator shorted-turn fault effectively improves compared with routine is by the diagnosis of single failure characteristic quantity The recognition capability of fault mode, improves the accuracy rate and reliability of fault diagnosis.
The realization of technical solution proposed by the present invention:
A kind of diagnostic method of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm leads to It crosses and the double-fed blower after normal condition and generation interturn in stator windings failure is analyzed, extract two fault characteristic values;Determine event Hinder the frequency of characteristic quantity, amplitude;The fusion of D-S information is carried out to two fault characteristic values with MATLAB programming, it is former according to determining Failure fusion parameters are then corrected, fault verification system is formed.
A kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm, Interturn in stator windings short fault location is set in stator A phase.
A kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm, In fault characteristic value be rotor current, fault characteristic frequency is (2-s) f1, behalf revolutional slip, f1Represent stator side group Frequently.
A kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm, In a fault characteristic value be rotor a phase instantaneous power spectrum, expression formula when normal condition are as follows:
After breaking down, expression formula are as follows:
In formula: ω1Indicate the angular frequency of rotor-side fundamental voltage;ω indicates stator side fundamental voltage angular frequency;ImaIt indicates The amplitude of fundamental wave phase current;UmaIndicate fundamental wave phase voltage amplitude;Indicate that fundamental current lags behind the phase angle of voltage.
It chooses and is used as fault characteristic frequency at the 2f frequency of rotor instantaneous power spectrum.
A kind of diagnostic method of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm, is adopted The fault characteristic frequency amplitude of rotor current and rotor instantaneous power spectrum is estimated with Prony algorithm.
A kind of diagnostic method of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm, D-S The fault verification principle of information fusion are as follows:
In formula: m (A1) indicate event A1 basic partition function;A1Indicate court verdict,ε1, ε2Indicate threshold Value.
Compared with prior art, the invention has the following advantages: it is proposed by the present invention a kind of based on the fusion of D-S information The diagnostic method of the double-fed fan stator shorted-turn fault of algorithm can lead to when interturn in stator windings short trouble occurs for double-fed blower Cross detection and diagnosis of this method realization to fault characteristic frequency;Two kinds of fault characteristic values progress fault message fusions are extracted to sentence It is disconnected, compared with routine is by the diagnosis of single failure characteristic quantity, the recognition capability of fault mode is effectively increased, the mistake of failure is reduced Sentence, fail to judge, the uncertainty for diagnosing interturn in stator windings short trouble is greatly lowered, and improves the accuracy rate of fault diagnosis and reliable Property.
Detailed description of the invention
Fig. 1 is double-fed fan stator shorted-turn fault schematic diagram;
Fig. 2 is double-fed fan stator shorted-turn fault model schematic;
Fig. 3 is double-fed blower grid-side converter control model schematic diagram;
Fig. 4 is double-fed fan rotor side current transformer control model schematic diagram;
Fig. 5 is that D-S evidence theory information merges schematic diagram;
Fig. 6 is the stream of the diagnostic method of double-fed fan stator turn-to-turn fault of the double-fed blower based on D-S information fusion algorithm Journey schematic diagram.
RSC: rotor-side inverter GSC: net side inverter
is: stator side electric current ira: rotor-side a phase current
irb: rotor-side b phase current irc: rotor-side c phase current
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment
The present invention is further described by 1-6 with reference to the accompanying drawing, and Fig. 6 is double-fed blower based on D-S information fusion algorithm The flow diagram of the diagnostic method of double-fed fan stator turn-to-turn fault.The present embodiment be based on simulation software MATLAB/ A kind of diagnostic method of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm of Simulink invention.This Embodiment concrete condition is set as, and stator A phase shorted-turn fault occurs after 2s for system, after the system stabilizes, takes rotor a phase Electric current carries out fault diagnosis.Fig. 1 is double-fed fan stator shorted-turn fault schematic diagram, specifically includes the following steps:
S0, double-fed fan stator turn-to-turn short circuit model is built;
In concrete application, the step S0, double-fed fan stator turn-to-turn model is built specifically: double-fed fan stator turn-to-turn Short trouble model schematic is as shown in Fig. 2, short trouble generation can obtain the voltage side in turn-to-turn short circuit circuit in the A phase of stator Journey are as follows:
0=d ψg/dt+(Rg+rsg)·ig+rsg·isA (1)
Stator A phase loop-voltage equation after turn-to-turn short circuit are as follows:
usA=d ψsA/dt+rs·isA+rsg·ig (2)
Correspondingly, double-fed blower model is as follows:
UF=RFIF+pΨF (3)
ΨF=MFIF (4)
IF=[I ig]T (7)
ΨF=[Ψ ψg]T (8)
Above formula constitutes mathematical model of the double-fed blower under interturn in stator windings short circuit fault condition, can be by these formula Simulation analysis is carried out under interturn in stator windings short trouble to double-fed blower, using coordinate transform to mould when using for reference normal condition analysis Type carries out abbreviation, final simplified model.
The rotor-side and grid-side converter of double-fed blower all have certain reactive power regulating power, more under normal conditions Double-fed fan rotor side and grid-side converter, which are all made of, determines power factor controlling mode, and the present invention is to the current transformer of two sides using electricity Depress control model of hanging down.Meanwhile the reactive capability in order to make full use of current transformer, to rotor-side and grid-side converter without power control When system instruction is allocated, using the method coordinated in proportion.Fig. 2 is the signal of double-fed fan stator shorted-turn fault model Figure;Fig. 3 is double-fed blower grid-side converter control model schematic diagram.In figure, u, i,R、L、ωs、ωrRespectively voltage, electricity Stream, magnetic flux, resistance, inductance, synchronous angular frequency and rotor angular frequency;Subscript s, r, g, d, q, m respectively represent stator, rotor, net Side, d axis, q axis are respectively measured and mutual inductance;Subscript m ea, ref respectively indicates measured value and value of feedback;Subscript dc, pcc respectively indicates direct current Value and PCC value;Te is electromagnetic torque;Subscript " * ", " ' " respectively indicate compensating for coupling item and decoupling item;A=LM/Ls;B=Ls- L2 m/Ls
S1, rotor-side failure of the current characteristic frequency is determined;
Under the three-phase windings symmetric case of rotor side, electric current iRShown in the magnetomotive expression formula such as formula (9) generated.
Magnetomotive forceShown in expression formula such as formula (10) in stator coordinate.
Magnetomotive forceIt is [1 ± v (1-s)] f in the current component frequency that rotor-side induces1.It is induced in rotor-side Current component in the biggish frequency of Amplitude Ration have (2-s) f1
S2, the fault characteristic frequency for determining sided rotor instantaneous power spectrum;
Rotor a phase instantaneous power spectrum, expression formula when normal condition are as follows:
After breaking down, expression formula are as follows:
By formula (12) it can be seen that when double-fed aerogenerator stator winding breaks down, rotor-side instantaneous power spectrum In, in addition to generating 2f identical with normal condition1Component and a stationary component outside, also create frequency be 2f and 2 (1-s) f1Stator winding faults component.Theoretical analysis shows that feature frequency 2f and 2 (1-s) f can be used as fault characteristic value, Bu Guoyou In doubly-fed wind turbine slip s by air speed influence, there is real-time change, to avoid the tracking of revolutional slip s and calculating to miss Difference causes the calculating deviation of characteristic frequency, selects frequency 2f as fault characteristic frequency, has good diagnostic reliability.Therefore this Characteristic quantity of the amplitude at 2f frequency that selected works take rotor instantaneous power to compose as stator winding faults.
S3, the fault characteristic frequency amplitude that rotor current and rotor instantaneous power spectrum are estimated using Prony algorithm.
The one group p exponential functions with any amplitude, phase, frequency and decay factor, the function shape of discrete time Formula are as follows:
bi=Aiexp(jθi) (14)
zi=exp [(αi+j2πfi)Δt] (15)
In formula: AiFor each frequency amplitude;θiFor each frequency plot;αiFor decay factor;fiFor system operating frequency;Δ t generation The table sampling interval.
Sample function r (i, j) is calculated using formula (14), and constructs extension rank matrix Re.
Wherein, i, j=0,1,2 ... p.
Matrix R is determined using SVD-TLS algorithmeEffective order number p and attenuation factor1, α2..., αpMinimum two Multiply estimation.
Seek proper polynomial 1+a1z-1+...+apz-p=0 conjugate root is to (zi, z* i), i=1 ..., p, using formula (18), Formula (19) calculating parameter b1..., bp.
Wherein, Z is the Vandemonde matrix of N row p column:
Amplitude, phase, frequency are calculated with formula (20):
The fusion of S4, D-S information determines failure
A confined space Θ is given, considers that all set of Θ include Θ and space Φ itself, is denoted as 2Θ: for All belong to Θ subset A (proposition), and basic trust partition function m is one from set 2ΘTo the mapping of [0 1], and meet:
In formula: the basic partition function of m (A) --- event A, as m (A) > 0, A is referred to as the coke member of partition function.
The acquisition of basic partition function
Basic partition function is a kind of reasoning that represent the credibility that people assumes fault mode.This is artificial to sentence It is disconnected, and influenced by various factors.
Define αj=max { Cj(Ai), i=1,2,3 ... N (22)
In formula: Cj(Ai) --- sensor j is to target pattern AiRelated coefficient, can be replaced with subordinating degree function;
Nc--- target pattern number
N---- sensor sum
WjThe weight correlation of ----sensor j, codomain are [0,1]
αj--- sensor j maximum correlation coefficient
βj--- the related apportioning cost of sensor j
Rj--- the coefficient of reliability of sensor j
Basic partition function m of the sensor j to objective function Aij(Ai) are as follows:
In formula: K--- correction function
mj(θ) --- uncertainty function
Assuming that m1、m2It is defined in 2 respectivelyΘTwo basic partition functions on g, then composition rule are as follows:
In formula: the conflict factor between each evidence of k---- reflects the conflict relationship of the two.
0≤k≤1, wherein k is bigger illustrates that contradiction is more obvious, and conflict spectrum is big between evidence, and D-S card is not available when equal to 1 According to theory.
Deciding degree principle
It enablesMeet
In formula: the basic partition function of m (A) expression event A.A1Indicate court verdict, ε1, ε2Indicate threshold value.
Fig. 5 is that D-S evidence theory information merges schematic diagram.
In conclusion the invention discloses a kind of, the double-fed fan stator turn-to-turn short circuit based on D-S information fusion algorithm is former The diagnostic method of barrier is related to the technical field of electric system double-fed fan trouble detection.The diagnostic method is short in research interturn in stator windings Under the failure of road on the basis of double-fed blower external characteristics, the equivalent simulation of the double-fed blower based on interturn in stator windings short trouble is established Model.It is proposed that the fault characteristic frequency for composing rotor current and rotor instantaneous power carries out D-S information and merges to form fault verification System effectively improves the reliability of fault detection, has some reference value to the research of Large Scale Wind Farm Integration short trouble.
Above-described embodiment is the preferable embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment Limitation, it is any without departing from changes, modifications, substitutions, combinations, simplifications made by spiritual essence and principle of the invention, should all regard For equivalent substitute mode, it is included within the scope of the present invention.

Claims (6)

1. a kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm, it is characterised in that: By analyzing the double-fed blower after normal condition and generation interturn in stator windings short trouble, two fault characteristic values are extracted; Determine the frequency of fault characteristic value, amplitude;The fusion of D-S information is carried out to two fault characteristic values with MATLAB programming, according to Decision principle corrects failure fusion parameters, forms fault verification system.
2. a kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm according to claim 1 Diagnostic method, which is characterized in that its interturn in stator windings short fault location is set in stator A phase.
3. a kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm according to claim 1 Diagnostic method, which is characterized in that one of fault characteristic value is rotor current, and fault characteristic frequency is (2-s) f1, s generation Table revolutional slip, f1Represent stator side fundamental frequency.
4. a kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm according to claim 1 Diagnostic method, which is characterized in that one of fault characteristic value is rotor a phase instantaneous power spectrum, expression formula when normal condition Are as follows:
After breaking down, expression formula are as follows:
In formula: ω1Indicate the angular frequency of rotor-side fundamental voltage;ω indicates stator side fundamental voltage angular frequency;ImaIndicate fundamental wave The amplitude of phase current;UmaIndicate fundamental wave phase voltage amplitude;Indicate that fundamental current lags behind the phase angle of voltage.
It chooses and is used as fault characteristic frequency at the 2f frequency of rotor instantaneous power spectrum.
5. a kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm according to claim 1 Diagnostic method, which is characterized in that the fault characteristic frequency width of rotor current and rotor instantaneous power spectrum is estimated using Prony algorithm Value.
6. a kind of double-fed fan stator shorted-turn fault based on D-S information fusion algorithm according to claim 1 Diagnostic method, which is characterized in that the fault verification principle of D-S information fusion are as follows:
In formula: m (A1) indicate event A1Basic partition function;A1Indicate court verdict,ε1, ε2Indicate threshold value.
CN201810802419.7A 2018-07-23 2018-07-23 A kind of diagnostic method of the double-fed fan stator shorted-turn fault based on D-S information fusion algorithm Withdrawn CN109100608A (en)

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Application publication date: 20181228