CN109657380A - A kind of double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter - Google Patents

A kind of double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter Download PDF

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CN109657380A
CN109657380A CN201811596764.6A CN201811596764A CN109657380A CN 109657380 A CN109657380 A CN 109657380A CN 201811596764 A CN201811596764 A CN 201811596764A CN 109657380 A CN109657380 A CN 109657380A
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double
fed
fan motor
fed fan
motor field
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王彤
高明阳
王增平
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North China Electric Power University
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North China Electric Power University
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Abstract

The present invention discloses a kind of double-fed wind generating field Dynamic Equivalence based on Extended Kalman filter.This method comprises: obtain by more double-fed wind power generator groups at double-fed fan motor field parameter;The Load flow calculation of the electric system of field containing double-fed fan motor is carried out according to the data of all doubly-fed wind turbines;The data in wind power plant collection bus are acquired as measurement information;Dynamic Identification is carried out to equivalent blower reactance parameter and controller parameter using the method for Extended Kalman filter;Reciprocity valve system carries out the accuracy that transient stability fault simulation verifies this method.The present invention provides a kind of effective double-fed fan motor field Dynamic Equivalences, using the method for on-line parameter estimation by double-fed fan motor field equivalence Cheng Yitai doubly-fed wind turbine, when avoiding to the modeling of double-fed fan motor field, since its unit is large number of, caused by entire electric field the excessively high problem of model order, data processing is greatly improved in the case where guaranteeing simulation accuracy and efficiency that calculated result is analyzed.

Description

A kind of double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter
Technical field
The present invention relates to wind power system fields, and in particular, to a kind of double-fed fan motor field based on Extended Kalman filter Dynamic Equivalence.
Background technique
Under the upsurge of global economy high speed development, the wasting of resources and environmental pollution are on the rise, and development and utilization can be again Raw new energy has been increasingly becoming the theme in epoch.As Typical Representative therein, wind-power electricity generation cause due to its relative at Ripe technology and cheap cost become new energy technology nowadays with fastest developing speed.But in recent years, with large-scale wind After electricity is grid-connected, apparent influence can be generated on the stability of electric system.In order to make scientific and reasonable operation of power networks regulation Mode, it is necessary to which a large amount of simulation study is carried out to the electric system containing wind-powered electricity generation.If all using wind in this emulation repeatedly The detailed model of electric field, then can undoubtedly slow down simulation velocity significantly, to cause the waste of plenty of time.
Currently, using the wind-power electricity generation of a large capacity when studying the various dynamic stability problems of wind power plant electric system Unit replaces entire wind power plant, to achieve the purpose that reducing analogue system builds difficulty, improves simulation calculation speed, therefore The either practical wind power plant for being intended to that accurate description large-scale wind power field overall permanence can be obtained of theoretical research or engineering Model.One wind power plant is usually made of tens even several hundred Wind turbines, but its total capacity just corresponds to a large size Thermoelectric generator, especially for double-fed wind power generator group (DFIG) in this way containing wind energy conversion system, generator, power electronics become The Wind turbines for flowing device and its controller, can be described with the model of more than ten ranks, then the model order of entire wind power plant Number can exceed that 1,000 ranks.The complexity of the size and model that thereby result in its capacity mismatches very much, and contains wind in research When the stability problem of electric electric system, it is important to notice that the overall dynamics characteristic of wind power plant, rather than every unit in field Specific dynamic, therefore to large-scale wind power field carry out dynamic equivalent, so that carrying out model reduction is necessary.
In the implementation of the present invention, inventor has found at least exist in the existing equivalent technology of wind-driven generator dynamic As a result inaccurate, the defects of computation complexity is high.
Summary of the invention
The object of the present invention is to provide a kind of double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter, to mention The computational accuracy and computational efficiency of high double-fed fan motor field dynamic equivalent, and it is suitable for the transient stability analysis of wind power system.
To achieve the above object, the technical solution adopted by the present invention is that: a kind of double-fed wind based on Extended Kalman filter Electric field Dynamic Equivalence, step are as follows:
A, Load flow calculation is carried out to the system of the field containing double-fed fan motor;
B, measurement information is acquired in the collection bus of wind power plant;
C, equivalent fan parameter is carried out using Extended Kalman filter to recognize;
D, reciprocity valve system carries out the accuracy that transient stability fault simulation verifies this method.
Further, the step a, specifically includes:
A1, the trend meter for carrying out steady-state operation to the electric system of the field containing double-fed fan motor using the data of double-fed fan motor field It calculates;
A2, complete dynamic model is established to every double-fed wind power generator group;
Wherein, Idr、Iqr、Ids、IqsRespectively double fed induction generators rotor-side, stator side d, q shaft current component;S is double Present influence generator revolutional slip;x1For the corresponding state variable of generator-side converter wear outer ring active power controller;x2For generator-side converter wear The corresponding state variable of outer ring Reactive Power Control;x3Corresponding state variable is controlled for generator-side converter wear inner ring q shaft current;x4 Corresponding state variable is controlled for generator-side converter wear inner ring d shaft current;x5It is corresponding for grid-side converter outer ring DC voltage control State variable;x6Corresponding state variable is controlled for grid-side converter inner ring d shaft current;x7For grid-side converter inner ring q axis electricity The corresponding state variable of flow control.
Further, the step b, specifically includes:
The complete dynamic model of b1, the double-fed fan motor field steady-state operation value and foundation that are obtained by Load flow calculation, find out needs The state variable initial value utilized;
State variable initial value includes the current reference value of the rotor side electric current of double fed induction generators, PI controlling unit And generator revolutional slip.
B2, it obtains carrying out measurement information required for on-line parameter recognizes at the collection bus of double-fed fan motor field;
Measurement information takes the electric current inside double-fed wind power generator group, including Ids、Iqs、Idr、Iqr、Idr3、Iqr3
B3, using select the equivalent double-fed blower to be recognized reactance parameter and PI Absent measures coefficient as extended mode variable It is included in state variable matrix.
Further, the step c, specifically includes:
C1, noise variance (white Gaussian noise) is added in measurement information z
C2, the corresponding measurement equation of dynamical equation and measurement by double-fed blower, calculate Extended Kalman filter and change The parameter needed for process.Specific process is as follows:
Wherein, xkFor state variable, zkFor measurement;Pk/k-1、PkRespectively prior variance matrix and posterior variance matrix; KkFor gain coefficient;Φk/k-1For state-transition matrix, HkFor observing matrix:
C3, using the method for Extended Kalman filter to PI link in the reactance parameter and controller of doubly-fed wind turbine Control coefrficient recognized, the corresponding parameter of equivalent wind-driven generator is obtained, by double-fed fan motor field equivalence Cheng Yitai large capacity Unit, capacity are the sum of each doubly-fed wind turbine power.
Further, the step d, specifically includes:
D1, double-fed fan motor field access system is replaced using equivalent double-fed blower;
D2, it enables double-fed blower output power fix, three phase short circuit fault and single-phase is carried out to the system before and after equivalence respectively The simulation of ground fault;
D3, it enables double-fed blower output power change at random, single-line to ground fault event is carried out to the system before and after equivalence respectively The simulation of barrier;
D4, to d2, d3, active, the busbar voltage of collection bus are compared before and after equivalent twice respectively, verify this method Validity.If the error of equivalent front and back power, voltage meets required precision, illustrate that double-fed fan motor field dynamic works as value method It is correct.
Doubly-fed wind turbine Dynamic Equivalence provided by the invention based on Extended Kalman filter, due to including: Obtain by more double-fed wind power generator groups at double-fed fan motor field parameter;Data based on all doubly-fed wind turbines into The Load flow calculation of the row electric system of field containing double-fed fan motor simultaneously acquires the data in wind power plant collection bus as measurement information;Then Dynamic Identification is carried out to equivalent blower reactance parameter and controller parameter using the method for Extended Kalman filter;It finally will be equivalent Blower replaces wind power plant to access multi-computer system;And the accuracy that transient stability fault simulation verifies this method is carried out to system.It should Dynamic Equivalence can overcome the disadvantage that prior art result is inaccurate, computation complexity is high, calculating speed small with error Spend fast advantage.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification It obtains it is clear that understand through the implementation of the invention.
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Detailed description of the invention
Attached drawing is used to provide further understanding of the present invention, and constitutes part of specification, with reality of the invention It applies example to be used to explain the present invention together, not be construed as limiting the invention.In the accompanying drawings:
Fig. 1 is that the present invention is based on the processes of the doubly-fed wind turbine Dynamic Equivalence based on Extended Kalman filter to show It is intended to;
The iterative process schematic diagram for the Extended Kalman filter that Fig. 2 is utilized for the present invention;
The system schematic for the field containing double-fed fan motor that Fig. 3 is utilized for the present invention;
Fig. 4 is to carry out three phase short circuit fault after the double-fed blower after equivalence is replaced double-fed fan motor field to be incorporated to system by the present invention The collection bus active power comparing result obtained after simulation.
Fig. 5 is to carry out three phase short circuit fault after the double-fed blower after equivalence is replaced double-fed fan motor field to be incorporated to system by the present invention The collection bus voltage-contrast result obtained after simulation.
Fig. 6 is to carry out single-line to ground fault after the double-fed blower after equivalence is replaced double-fed fan motor field to be incorporated to system by the present invention The collection bus active power comparing result obtained after fault simulation.
Fig. 7 is to carry out single-line to ground fault after the double-fed blower after equivalence is replaced double-fed fan motor field to be incorporated to system by the present invention The collection bus voltage-contrast result obtained after fault simulation.
When Fig. 8 is that the present invention enables the double-fed blower of equivalent front and back contribute at random, three phase short circuit fault mould is carried out to system The collection bus active power comparing result obtained after quasi-.
When Fig. 9 is that the present invention enables the double-fed blower of equivalent front and back contribute at random, three phase short circuit fault mould is carried out to system The collection bus voltage-contrast result obtained after quasi-.
Specific embodiment
Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings, it should be understood that preferred reality described herein Apply example only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
According to embodiments of the present invention, a kind of doubly-fed wind turbine dynamic equivalent based on Extended Kalman filter is provided Method solves the problems, such as that many double-fed blower Dynamic Equivalence results are inaccurate, computation complexity is high.
Step 1, test macro IEEERTS-79 is selected, will be incorporated to by the double-fed fan motor field of three double-fed wind power generator groups At collection bus 4, the parameter values such as the power of each Wind turbines in double-fed fan motor field are set, steady parameter is carried out to system It solves, and 12 rank dynamic models is established to every doubly-fed wind turbine.
Step 2, the state variable square after extension is determined using the parameter that dynamic model and equivalent double-fed blower need to recognize Battle array shifts square by the state that the steady-state operation value of system and the dynamical model solution of blower are extended Kalman filtering needs Battle array, measurement matrix, prior variance matrix, posterior variance matrix, gain matrix.
Step 3, equivalent iteration is carried out, it is replaced entire wind-powered electricity generation by a double-fed wind power generator group after obtaining equivalence Field is incorporated to collection bus 4.
Step 4, to the system before and after equivalence, three phase short circuit fault and single-line to ground fault event are carried out at bus 9 respectively The simulation of barrier compares the change curve of the active and reactive power and voltage after time-domain-simulation at collection bus, equivalent front and back result Error is less than 0.1%.
Step 5, the random power output for enabling equivalent front and back wind power system, carries out the simulation of three phase short circuit fault at bus 8, Compare active and voltage the change curve after time-domain-simulation at collection bus, equivalent front and back resultant error still less than 0.1%, The validity of the equivalence method the above description shows that.
In conclusion the doubly-fed wind turbine dynamic equivalent based on Extended Kalman filter of the above embodiment of the present invention Method, comprising: Load flow calculation is carried out to the system of the field containing double-fed fan motor;Measurement information is acquired in the collection bus of wind power plant; Equivalent fan parameter is carried out using Extended Kalman filter to recognize;Reciprocity valve system carries out transient stability fault simulation and verifies the party The accuracy of method.The double-fed fan motor field Dynamic Equivalence has the advantages that computation complexity is low, convergence is good, solves existing There is the problems such as result is inaccurate, computation complexity is high in technology.
Finally, it should be noted that the foregoing is only a preferred embodiment of the present invention, it is not intended to restrict the invention, Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, still may be used To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features. All within the spirits and principles of the present invention, those skilled in the art do not need to make the creative labor can make any and repair Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.

Claims (6)

1. a kind of double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter, which is characterized in that this method obtains first Take by more double-fed wind power generator groups at double-fed fan motor field parameter;Data based on all doubly-fed wind turbines carry out The Load flow calculation of the electric system of field containing double-fed fan motor simultaneously acquires the data in wind power plant collection bus as measurement information;Then sharp Dynamic Identification is carried out to equivalent blower reactance parameter and controller parameter with the method for Extended Kalman filter;Finally by equivalent wind Machine replaces wind power plant to access multi-computer system;And the accuracy that transient stability fault simulation verifies this method is carried out to system.
2. the double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter as described in claim 1, which is characterized in that This method is specifically includes the following steps: include:
A, Load flow calculation is carried out to the system of the field containing double-fed fan motor;
B, measurement information is acquired in the collection bus of wind power plant;
C, equivalent fan parameter is carried out using Extended Kalman filter to recognize;
D, reciprocity valve system carries out the accuracy that transient stability fault simulation verifies this method.
3. the double-fed fan motor field Dynamic Equivalence according to claim 2 based on Extended Kalman filter, feature exist In, in step a, data when Load flow calculation obtains steady-state operation are carried out to the system of the field containing double-fed fan motor first,
And every doubly-fed wind turbine is established shown in complete 12 rank dynamic model such as formula (1), (2):
Wherein, Idr、Iqr、Ids、IqsRespectively double fed induction generators rotor-side, stator side d, q shaft current component;S is double-fed sense Answer generator revolutional slip;x1For the corresponding state variable of generator-side converter wear outer ring active power controller;x2For generator-side converter wear outer ring The corresponding state variable of Reactive Power Control;x3Corresponding state variable is controlled for generator-side converter wear inner ring q shaft current;x4For machine Side current transformer inner ring d shaft current controls corresponding state variable;x5For the corresponding shape of grid-side converter outer ring DC voltage control State variable;x6Corresponding state variable is controlled for grid-side converter inner ring d shaft current;x7For grid-side converter inner ring q shaft current control Make corresponding state variable.
4. the double-fed fan motor field Dynamic Equivalence according to claim 2 based on Extended Kalman filter, feature exist In in stepb, specifically including:
The complete dynamic model of the double-fed fan motor field steady-state operation value and foundation that obtained by Load flow calculation finds out the shape for needing to utilize State variable initial value;It obtains carrying out measurement required for on-line parameter recognizes at the collection bus of double-fed fan motor field simultaneously.
5. the double-fed fan motor field Dynamic Equivalence according to claim 2 based on Extended Kalman filter, feature exist In specifically including in step c:
C1, noise variance (white Gaussian noise) is added in measurement information z
C2, the corresponding measurement equation of dynamical equation and measurement by double-fed blower, calculate Extended Kalman filter iteration mistake The parameter that journey needs.Specific process is as follows:
Wherein, xkFor state variable, zkFor measurement;Pk/k-1、PkRespectively prior variance matrix and posterior variance matrix;KkFor Gain coefficient;Φk/k-1For state-transition matrix, HkFor observing matrix:
C3, the control using the method for Extended Kalman filter to PI link in the reactance parameter and controller of doubly-fed wind turbine Coefficient processed is recognized, and the corresponding parameter of equivalent wind-driven generator is obtained, by double-fed fan motor field equivalence Cheng Yitai large sized unit.
6. the double-fed fan motor field Dynamic Equivalence according to claim 2 based on Extended Kalman filter, feature exist In specifically including in step d:
D1, double-fed fan motor field access system is replaced using equivalent double-fed blower;
D2, it enables double-fed blower output power fix, three phase short circuit fault and single-phase earthing is carried out to the system before and after equivalence respectively The simulation of failure;
D3, it enables double-fed blower output power change at random, carries out the simulation of three phase short circuit fault to the system before and after equivalence respectively;
D4, to d2, d3, active, the voltage of collection bus are compared before and after equivalent twice respectively, verify the validity of this method, If the error of equivalent front and back power, voltage meets required precision, it is correct for illustrating that double-fed fan motor field dynamic works as value method.
CN201811596764.6A 2018-12-26 2018-12-26 A kind of double-fed fan motor field Dynamic Equivalence based on Extended Kalman filter Pending CN109657380A (en)

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CN111293693A (en) * 2020-03-30 2020-06-16 华北电力大学 Doubly-fed wind turbine converter control parameter identification method based on extended Kalman filtering

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