CN105576654B - Equivalent method and system for direct-drive wind power plant - Google Patents
Equivalent method and system for direct-drive wind power plant Download PDFInfo
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The invention relates to a direct-drive wind power plant equivalence method and a direct-drive wind power plant equivalence system, wherein the method comprises the following steps: carrying out fault simulation tests on a single wind turbine generator, and establishing an offline database under each voltage drop depth according to active power response curves at outlets of the wind turbine generator under different voltage drop depths in a full wind speed operation region; according to the voltage drop depth measured in real time by the wind power plant, selecting a matched offline database for each wind turbine in the wind power plant from the offline database, matching a corresponding active power response curve for each wind turbine from the matched offline database according to the wind speed of each wind turbine, and clustering the obtained active power response curves; dividing the wind turbine generator into a plurality of machine groups according to the clustering result, calculating equivalent parameters of each machine group, and establishing an equivalent model of the direct-drive wind power plant according to the clustering result and the equivalent parameters. The direct-drive wind power plant equivalence method and system are high in accuracy.
Description
Technical field
The present invention relates to electric system simulation modeling technique field, more particularly to a kind of directly driven wind-powered field equivalence method and
System.
Background technology
With the fast development of wind-powered electricity generation, wind power system is also gradually expanded to whole electricity to the coverage of power network from local
Net.Due to the randomness of wind energy, nobody live post of running of wind generating set and the requirement of Operation of Electric Systems high reliability, establish
Wind power plant simulation model is very necessary.In actual applications, a wind power plant Wind turbines are large number of, and operating condition
It is different, if modeling in detail is carried out to every unit will make it that farm model exponent number is very huge, also brings along and such as calculates
The serious problems such as the time is long, committed memory is big.Therefore, suitable dynamic model, the dynamic row of accurate simulation wind power plant are established
To be the basis of simulation study.
At present, the equivalence method of directly driven wind-powered field mainly has unit characterization method and multimachine characterization method.Unit characterization method be by
Whole wind power plant equivalence is a typhoon group of motors, and the power for waiting check-in is the algebraical sum of all powers of the assembling unit.For large-scale wind electricity
, operating condition is different between Wind turbines, unit characterization method certainly exists be difficult to take into account Wind turbines between running status it is poor
The problem of different, larger systematic error can be produced.Multimachine characterization method is to divide group's principle according to different, and wind power plant is equivalent to be several
Typhoon group of motors.Compared to unit characterization method, multimachine model can more embody the otherness of operating states of the units in wind power plant, this side
It is crucial rationally to divide group in method.At present, grouping method mainly has：(1) group is divided by unit position and network-building method, i.e.,：According to wind
Group of motors position, the same row's unit to link together, electrical distance is nearer is divided into same a group.This method ensure that in group
Unit has similar set end voltage, have to electric network fault it is similar respond, but there is no adaptability to wind direction, and divide group's number with
The increase of wind power plant scale and increase, Equivalent Model not enough simplify.(2) by clustering algorithm, enter by operating states of the units information
Row divides group.Running of wind generating set control area, Wind turbines survey active data and by wind speed, unit is active, voltage, electric current
The synthesis clustering target of initial value composition before failure is suggested.However, existing multimachine characterization method is carrying out wind power plant etc.
During value research, failing to take into full account in actual wind field as caused by connection line Wind turbines set end voltage difference mostly, this is asked
Topic, rarely for the research of wind power plant equivalence method in the case of different Voltage Drops.In fact, occur when in network system
The line voltage caused by certain factor is less than normal value in the place difference or power network of failure, equal for grid-connected wind farms
Wind power plant can be reflected as different voltage levels is integrally presented.Therefore, to make wind power plant equivalence more be bonded actual conditions, having must
To be directed to the expansion research of this problem.
The content of the invention
Based on this, it is necessary in view of the above-mentioned problems, providing a kind of directly driven wind-powered field equivalence method and system.
A kind of directly driven wind-powered field equivalence method, comprises the following steps：
Fault simulation experiment is carried out to separate unit Wind turbines, according under different Voltage Drop depth in full blast speed operation area
The offline database that the active power response curve in Wind turbines exit is established under each Voltage Drop depth；
It is every typhoon in wind power plant from the offline database according to the Voltage Drop depth of wind-powered electricity generation field real-time measurement
The offline database of motor group selection matching, it is from the offline number of matching per typhoon group of motors according to the wind speed of every typhoon group of motors
According to matching corresponding active power response curve in storehouse, and cluster is carried out to the active power response curve of acquisition and divides group；
The Wind turbines are divided into by several machine groups according to cluster grouping result, calculate the equivalence of each machine group
Parameter, directly driven wind-powered field Equivalent Model is established according to grouping result and equivalent parameters.
A kind of valve systems such as directly driven wind-powered field, including：
First establishes module, for carrying out fault simulation experiment to separate unit Wind turbines, according in full blast speed operation area
The active power response curve in Wind turbines exit under different Voltage Drop depth, establish under each Voltage Drop depth from
Line database；
Cluster module, it is wind from the offline database for the Voltage Drop depth according to wind-powered electricity generation field real-time measurement
The offline database of every typhoon motor group selection matching in electric field, is per typhoon group of motors according to the wind speed of every typhoon group of motors
Corresponding active power response curve is matched from the offline database of matching, and the active power response curve of acquisition is carried out
Cluster divides group；
Second establishes module, for the Wind turbines to be divided into several machine groups according to cluster grouping result, counts
The equivalent parameters of each machine group are calculated, directly driven wind-powered field Equivalent Model is established according to grouping result and equivalent parameters.
Above-mentioned directly driven wind-powered field equivalence method and system, by establishing the offline database under each Voltage Drop depth,
The offline database matched from the offline database for every typhoon motor group selection of wind power plant, and to the offline number of matching
Cluster is carried out according to the active power response curve in storehouse and divides group, is divided into the Wind turbines according to cluster grouping result some
Individual machine group, the equivalent parameters of each machine group are calculated, directly driven wind-powered field equivalence mould is established according to grouping result and equivalent parameters
Type, influence of the generator terminal difference Voltage Drop situation to equivalent result, accuracy height are taken into full account.
Brief description of the drawings
Fig. 1 is the directly driven wind-powered field equivalence method flow chart of one embodiment；
Fig. 2 is wind power plant detailed model schematic diagram；
Fig. 3 is that wind speed and set end voltage in wind power plant per typhoon group of motors fall situation schematic diagram；
Fig. 4 is Wind turbines active power transient response curve map under the corresponding state extracted from offline storehouse；
Fig. 5 is cluster arborescence；
Active power comparison diagram when Fig. 6 (a) is failure 1；
Reactive power comparison diagram when Fig. 6 (b) is failure 1；
Active power comparison diagram when Fig. 7 (a) is failure 2；
Reactive power comparison diagram when Fig. 7 (b) is failure 2；
Fig. 8 is the structural representation of the valve systems such as the directly driven wind-powered field of one embodiment.
Embodiment
The embodiment of the directly driven wind-powered field equivalence method of the present invention is described below in conjunction with the accompanying drawings.
Fig. 1 is the directly driven wind-powered field equivalence method flow chart of one embodiment.As shown in figure 1, described directly driven wind-powered field etc.
Value method may include following steps：
S1, fault simulation experiment is carried out to separate unit Wind turbines, it is deep according to different Voltage Drops in full blast speed operation area
The offline database that the active power response curve in the lower Wind turbines exit of degree is established under each Voltage Drop depth；
In this step, the Wind turbines are direct drive wind power unit., can be by imitative before offline database is established
Genuine mode obtains the active power response curve.The active power response curve is preserved, establishes off-line data
Storehouse.In this way, the amount of calculation of online equivalence can be reduced, improves online equivalent efficiency.It can establish in the following manner
Offline database：
Step 1：Can be that the Wind turbines unit Test to Failure establishes unit fault simulation model；
In this step, the unit fault simulation model may include Wind turbines, collection electric line, generator terminal boosting transformation
The models such as device, network system, faulty generators.Wherein wind turbine model may include that wind energy conversion system, shafting, permanent-magnet synchronous generate electricity again
The model such as machine, full power convertor and its control system, variable-pitch control system and discharging circuit and its control system.
Step 2：The input wind speed of the Wind turbines can be set；
In this step, the scope of the input wind speed of the Wind turbines can be set as the full blast of this running of wind generating set
Speed, i.e., from incision wind speed to cut-out wind speed, and the step interval of the input wind speed can be set as 0.1m/s.
Step 3：The Voltage Drop depth of Wind turbines generator terminal during failure in the unit fault simulation model can be set；
In this step, the scope of the Voltage Drop depth of the unit fault simulation model can be set as rated voltage
10% to 100%, and the step interval of the Voltage Drop depth can be set as the 10% of rated voltage.Different Voltage Drops
Degree can be simulated by changing the resistance of grounding resistance.
Step 4：Can be according to the unit fault simulation model to different Voltage Drop depth feelings in full blast speed operation area
Condition is emulated, and obtains the active power response curve.
In this step, relevant parameter can be set in simulation software, for example, the wind speed range of Wind turbines work is complete
Wind speed operation area, i.e., from the incision wind speed of Wind turbines to cut-out wind speed.Herein on basis, it can be set according in step 3
Voltage Drop depth the Wind turbines are emulated.
Step 5：Offline database is established according to the active power response curve.
After the active power response curve is obtained, can be established according to the active power response curve several from
Line database.It is the 10% to 100% corresponding of rated voltage with the Voltage Drop depth, 10 off-line datas can be established
Storehouse.
S2, it is every in wind power plant from the offline database according to the Voltage Drop depth of wind-powered electricity generation field real-time measurement
The group selection of typhoon motor matching offline database, according to the wind speed of every typhoon group of motors be per typhoon group of motors from matching from
Match corresponding active power response curve in line database, and cluster is carried out to the active power response curve of acquisition and divides group；
Corresponding state can be matched from offline database by the wind speed and Voltage Drop depth measured in real time in this step
The active power response curve of lower Wind turbines, cluster is carried out to it and divides group.Wherein, measurement voltage drop depth and off-line data
Storehouse can use the principle that rounds up when matching, and selection falls the closest database of degree with measurement voltage.Here cluster is calculated
Method can use widely used clustering tree method, and cluster sample can be made bent for all active power transient responses extracted
Line, two range indexs of Chebyshev's distance and Euclidean distance can be considered, to having in the offline database of the matching
Work(power response curve carries out cluster and divides group.Defined distance is used for reflecting overall similarity degree between curve, apart from smaller, table
Bright two curves are more close, can be combined into same a group.Because this clustering algorithm is not belonging to the row of the present invention, realization side is used only to
A kind of approach of method, is not described in detail here.
In a wherein embodiment, if it is desired to further simplification Equivalent Model, step S2 also includes afterwards：According to cluster
, can be according to following default amendment principles, further after the Wind turbines are divided into several machine groups by the result of point group
Reduction divides group's quantity.Principle 1：, can be by described two machine groups if being sufficiently close to classification thresholds in the presence of the distance of two machine groups
Further merge into a machine group.Specifically, the distance between different machine groups can be obtained according to cluster arborescence, with presetting
Classification thresholds compare；, can be by corresponding unit if the distance is slightly larger than classification thresholds, but is sufficiently close to classification thresholds
Group merges into a machine group.Principle 2：Can be according to cluster grouping result, Wind turbines in each machine group after acquisition is equivalent
Quantity；The quantity of Wind turbines in each machine group is compared with default amount threshold respectively；If the wind in certain a group
The quantity of group of motors is less than default amount threshold, it is also contemplated that by this group with being closed apart from closest machine group
And.In the case where ensureing equivalent precision, computation complexity is reduced, improves computational efficiency.
S3, the Wind turbines are divided into by several machine groups according to cluster grouping result, calculate each machine group
Equivalent parameters, directly driven wind-powered field Equivalent Model is established according to grouping result and equivalent parameters.
In a wherein embodiment, also include after step S3：Wind speed, the event of conversion at least two are detected using at least one set
Hinder location point, validation verification is carried out to the directly driven wind-powered field Equivalent Model.
It is described that validation verification is carried out to directly driven wind-powered field Equivalent Model, specifically, it can be detected by using at least one set
Wind speed, 1 abort situation points are converted, respectively to directly driven wind-powered field Equivalent Model and directly driven wind-powered field detailed model complete
In the state of exactly the same, including identical input wind speed, fault occurrences etc., l-G simulation test is carried out, contrasts directly driven wind-powered field
Equivalent Model and directly driven wind-powered field detailed model come in the active power of output of grid entry point, the response curve of reactive power accordingly
Evaluate the order of accuarcy of directly driven wind-powered field Equivalent Model.The wind farm grid-connected point is the public company of Wind turbines in wind power plant
Contact.
The equivalent parameters with group's unit are calculated in this step, can it is equivalent before and after Wind turbines power output be all mutually original
Then, equivalent wind speed is calculated；Capacity weighting method can be used to calculate Wind turbines equivalent parameters；Principle can not be changed into voltage difference, counted
Calculate equivalent collection electric line.
Using above-mentioned directly driven wind-powered field equivalence method, 5 rows 10 are arranged, totally 50 typhoon group of motors are formed directly driven wind-powered
Field carries out equivalence and divides group.
For wind power plant detailed model as shown in Fig. 2 50 typhoon group of motors models in directly driven wind-powered field are identical, Wind turbines can
Using the structure changes of a machine one, 690V can be set to per typhoon group of motors rated voltage, wind-powered electricity generation can be connected to by generator terminal step-up transformer
PCC (Point of Common Coupling, points of common connection) place of field, then 220kV is risen to by wind power plant main transformer,
Accessed through 30km double backs feeder line in network system.Line length is got in touch between adjacent Wind turbines can be set to 0.5km, PCC to wind power plant
Line length is got in touch between main transformer can be set to 1.0km, and the length of wind power plant main transformer to interconnection between network system can be set
It is as shown in Figure 2 for 30.0km, wind power plant detailed model.
To investigate this method to different Voltage Drop degree and the validity of position of failure point, can go out respectively in Wind turbines
A loop line midpoint sets three phase short circuit fault at mouthful and in double back feeder line.
(1) configuration information of failure 1：Failure it can be put into wind power plant exit setting three-phase shortcircuit ground connection, 2.0s,
Removed after 0.15s.
First, the wind speed and set end voltage drop information of each typhoon group of motors can be obtained, as shown in Figure 3.Can be according to wind-powered electricity generation
The Voltage Drop depth of field real-time measurement, it is every typhoon motor group selection matching in wind power plant from the offline database
Offline database.From figure 3, it can be seen that the set end voltage of 1,2,11,12,21,31, No. 41 Wind turbines drops to rated voltage
10% to 14% between, therefore drop to the database of rated voltage 10%, i.e. voltage for these Wind turbines matching voltages
Drop depth is 90% database.The set end voltage of remaining Wind turbines is dropped between 15% to the 20% of rated voltage,
Therefore by foregoing offline database matching principle, using the method to round up, dropped to for these Wind turbines matching voltages
The database of rated voltage 20%, i.e. Voltage Drop depth are 80% database.Wind speed according to each typhoon group of motors is it
Corresponding active power transient response curve is extracted from the offline database of matching, the active power of all Wind turbines is temporary
State response curve all extracts, totally 50 curves, as shown in Figure 4.Using this 50 active power transient response curves as
Clustering object, calculated curve Chebyshev's distance between any two and Euclidean distance two indices.Curve can be made between any two
Comprehensive distance is the average value of Chebyshev's distance and Euclidean distance, after obtaining the distance between curve, using clustering tree
Algorithm, this distance is clustered, the cluster result based on distance using 0.00015p.u. as shown in figure 5, be used as classification thresholds.
From figure 5 it can be seen that wind power plant can be divided into 4 groups, specific grouping result is：1-38 Wind turbines are classified as first group, 39-
No. 40 Wind turbines are classified as second group, and 41-43 Wind turbines are classified as the 3rd group, and 44-50 Wind turbines are classified as the 4th group.By
Cluster arborescence to understand, the condition further corrected is not met in this cluster result, therefore finally divide group's scheme i.e.
For above-mentioned gained grouping result.
For the ease of comparing, the Equivalent Model and wind power plant detailed model of the present invention are emulated respectively.Simulation result
As shown in Fig. 6 (a) and Fig. 6 (b), as can be seen from the figure Equivalent Model has very strong ability of tracking to detailed model, and active,
Idle stable state, transient response have good fitting degree.
(2) configuration information of failure 2：The loop line midpoint of double back feeder line one sets three-phase shortcircuit to be grounded, and failure is put into during 2.0s,
Removed after 0.15s.
The process for dividing group's scheme to obtain in failure 2 is identical with the acquisition process in failure 1, no longer repeats here.In order to just
In comparing, the Equivalent Model and wind power plant detailed model of the present invention are emulated respectively.Simulation result such as Fig. 7 (a) and Fig. 7
(b) shown in, it can draw and be analyzed above middle identical conclusion from figure, the equivalence method in the present invention has to position of failure point
Good adaptability.
The directly driven wind-powered field equivalence method of the present invention has advantages below：
(1) influence of the generator terminal difference Voltage Drop situation to equivalent result, accuracy height have been taken into full account.
(2) the active power transient response curve of Wind turbines is obtained by way of off-line simulation, and establishes database,
It is active under each typhoon group of motors matching corresponding state by the real-time wind speed of on-line measurement Wind turbines and set end voltage situation
Power transient response curve, carry out wind power plant cluster and divide group.In this way, the amount of calculation of online equivalence can be reduced, is improved
Online equivalent efficiency.
(3) after cluster divides group, the information of each machine group, including the distance between each machine group are further integrated
With the quantity of Wind turbines in each machine group, the machine group that distance each other is sufficiently close to or Wind turbines content are very few
Machine group merged with the machine group apart from closest machine group, in the case where ensureing equivalent precision, maximum can
The simplification Equivalent Model of energy, computation complexity is reduced, improve computational efficiency.
The embodiment of the valve systems such as the directly driven wind-powered field of the present invention is described below in conjunction with the accompanying drawings.
Fig. 8 is the structural representation of the valve systems such as the directly driven wind-powered field of one embodiment.As shown in figure 8, the straight wind dispelling
The valve systems such as electric field may include：
First establishes module 10, for carrying out fault simulation experiment to separate unit Wind turbines, according to full blast speed operation area
The active power response curve in Wind turbines exit is established under each Voltage Drop depth under interior different Voltage Drop depth
Offline database；
The Wind turbines are direct drive wind power unit.Described first establishes module 10 before offline database is established,
The active power response curve can be obtained by way of emulation.Described first memory cell for establishing module 10 can be by described in
Active power response curve preserves, and establishes offline database.In this way, the amount of calculation of online equivalence can be reduced,
Improve online equivalent efficiency.Described first, which establishes module 10, may include：
First establishes unit, can be that the Wind turbines unit Test to Failure establishes unit fault simulation model；
The unit fault simulation model may include Wind turbines, collection electric line, generator terminal step-up transformer, network system,
The models such as faulty generators.Wherein, wind turbine model may include that wind energy conversion system, shafting, magneto alternator, total power become again
Flow the model such as device and its control system, variable-pitch control system and discharging circuit and its control system.
Input block, the input wind speed of the Wind turbines can be set；
The scope of the input wind speed of the Wind turbines can be set as the full blast speed of this running of wind generating set, i.e., from incision wind
Speed arrives cut-out wind speed, and can set the step interval of the input wind speed as 0.1m/s.
Setting unit, the Voltage Drop that Wind turbines generator terminal during failure in the unit fault simulation model can be set are deep
Degree；
Can set the scope of the Voltage Drop depth of the unit fault simulation model as rated voltage 10% to
100%, and the step interval of the Voltage Drop depth can be set as the 10% of rated voltage.Different Voltage Drop degree can
To be simulated by changing the resistance of grounding resistance.
Simulation unit, can be according to the unit fault simulation model to different Voltage Drop depth in full blast speed operation area
Situation is emulated, and obtains the active power response curve.
Relevant parameter can be set in simulation software, for example, the wind speed range of Wind turbines work is full blast speed Operational Zone
Domain, i.e., from the incision wind speed of Wind turbines to cut-out wind speed., can be according to the Voltage Drop of setting unit setting herein on basis
Depth emulates to the Wind turbines.
Second establishes unit, can establish offline database according to the active power response curve.
After the active power response curve is obtained, can be established according to the active power response curve several from
Line database.It is the 10% to 100% corresponding of rated voltage with the Voltage Drop depth, 10 off-line datas can be established
Storehouse.
Cluster module 20, for the Voltage Drop depth according to wind-powered electricity generation field real-time measurement, it is from the offline database
The offline database of every typhoon motor group selection matching in wind power plant, is per typhoon motor according to the wind speed of every typhoon group of motors
Group matches corresponding active power response curve from the offline database of matching, and the active power response curve of acquisition is entered
Row cluster divides group；
Wind turbine under corresponding state can be matched from offline database by the wind speed and Voltage Drop depth measured in real time
The active power response curve of group, carries out cluster to it and divides group.Wherein, when measurement voltage drop depth matches with offline database
The principle that rounds up can be used, selection falls the closest database of degree with measurement voltage.Here clustering algorithm can use
Widely used clustering tree method, it is the active power transient response curve extracted that can make cluster sample, can integrate and examine
Consider two range indexs of Chebyshev's distance and Euclidean distance, the active power in the offline database of the matching is responded bent
Line carries out cluster and divides group.Defined distance is used for reflecting overall similarity degree between curve, apart from smaller, shows that two curves are got over
It is close, same a group can be combined into.Because this clustering algorithm is not belonging to the row of the present invention, a kind of way of implementation method is used only to
Footpath, it is not described in detail here.
In a wherein embodiment, if it is desired to the valve system such as further simplification Equivalent Model, above-mentioned direct drive wind power field is also
Including：, can be according to following default after the Wind turbines are divided into several machine groups by the result for dividing group according to clustering
Principle is corrected, further reduces and divides group's quantity.Principle 1：If being sufficiently close to classification thresholds in the presence of the distance of two machine groups, can incite somebody to action
Described two machine groups further merge into a machine group.Specifically, can be obtained according to cluster arborescence different machine groups it
Between distance, compared with default classification thresholds；If though the distance is slightly larger than classification thresholds, threshold of classifying is sufficiently close to
Value, can merge into corresponding machine group one machine group.Principle 2：Each machine after equivalence can be obtained according to cluster grouping result
The quantity of Wind turbines in group；The quantity of Wind turbines in each machine group is compared with default amount threshold respectively；
If the quantity of the Wind turbines in certain a group is less than default amount threshold, it is also contemplated that this group and distance are connect the most
Near machine group merges.In the case where ensureing equivalent precision, computation complexity is reduced, improves computational efficiency.
Second establishes module 30, for the Wind turbines to be divided into several machine groups according to cluster grouping result,
The equivalent parameters of each machine group are calculated, directly driven wind-powered field Equivalent Model is established according to grouping result and equivalent parameters.
Described second establishes the equivalent parameters that module 30 calculates same group's unit, can it is equivalent before and after Wind turbines power output
It is all mutually principle, calculates equivalent wind speed；Capacity weighting method can be used to calculate Wind turbines equivalent parameters；It can be changed into voltage difference
Principle, calculate equivalent collection electric line.
In a wherein embodiment, the valve system such as above-mentioned directly driven wind-powered field also includes：Wind speed is detected using at least one set, become
1 abort situation points are changed, validation verification is carried out to the directly driven wind-powered field Equivalent Model.
It is described that validation verification is carried out to directly driven wind-powered field Equivalent Model, specifically, it can be detected by using at least one set
Wind speed, 1 abort situation points are converted, directly driven wind-powered field Equivalent Model and direct drive wind power field detailed model are existed respectively
In the state of identical, including identical input wind speed, fault occurrences etc., l-G simulation test is carried out, contrast is directly driven wind-powered
Equivalent Model and directly driven wind-powered field detailed model are in the active power of output of grid entry point, the response curve of reactive power, accordingly
To evaluate the order of accuarcy of directly driven wind-powered field Equivalent Model.The wind farm grid-connected point is the public of Wind turbines in wind power plant
Tie point.
Using above-mentioned directly driven wind-powered field equivalence method, 5 rows 10 are arranged, totally 50 typhoon group of motors are formed directly driven wind-powered
Field carries out equivalence and divides group.
For wind power plant detailed model as shown in Fig. 2 50 typhoon group of motors models in directly driven wind-powered field are identical, Wind turbines can
Using the structure changes of a machine one, 690V can be set to per typhoon group of motors rated voltage, wind-powered electricity generation can be connected to by generator terminal step-up transformer
PCC (Point of Common Coupling, points of common connection) place of field, then 220kV is risen to by wind power plant main transformer,
Accessed through 30km double backs feeder line in network system.Line length is got in touch between adjacent Wind turbines can be set to 0.5km, PCC to wind power plant
Line length is got in touch between main transformer can be set to 1.0km, and the length of wind power plant main transformer to interconnection between network system can be set to
30.0km, wind power plant detailed model are as shown in Figure 2.
To investigate this method to different Voltage Drop degree and the validity of position of failure point, can go out respectively in Wind turbines
A loop line midpoint sets three phase short circuit fault at mouthful and in double back feeder line.
(1) configuration information of failure 1：Failure it can be put into wind power plant exit setting three-phase shortcircuit ground connection, 2.0s,
Removed after 0.15s.
First, the wind speed and set end voltage drop information of each typhoon group of motors can be obtained, as shown in Figure 3.Can be according to wind-powered electricity generation
The Voltage Drop depth of field real-time measurement, it is every typhoon motor group selection matching in wind power plant from the offline database
Offline database.From figure 3, it can be seen that the set end voltage of 1,2,11,12,21,31, No. 41 Wind turbines drops to rated voltage
10% to 14% between, therefore drop to the database of rated voltage 10%, i.e. voltage for these Wind turbines matching voltages
Drop depth is 90% database.The set end voltage of remaining Wind turbines is dropped between 15% to the 20% of rated voltage,
Therefore by foregoing offline database matching principle, using the method to round up, dropped to for these Wind turbines matching voltages
The database of rated voltage 20%, i.e. Voltage Drop depth are 80% database.Wind speed according to each typhoon group of motors is it
Corresponding active power transient response curve is extracted from the offline database of matching, the active power of all Wind turbines is temporary
State response curve all extracts, totally 50 curves, as shown in Figure 4.Using this 50 active power transient response curves as
Clustering object, calculated curve Chebyshev's distance between any two and Euclidean distance two indices.Curve can be made between any two
Comprehensive distance is the average value of Chebyshev's distance and Euclidean distance, after obtaining the distance between curve, using clustering tree
Algorithm, this distance is clustered, the cluster result based on distance using 0.00015p.u. as shown in figure 5, be used as classification thresholds.
From figure 5 it can be seen that wind power plant can be divided into 4 groups, specific grouping result is：1-38 Wind turbines are classified as first group, 39-
No. 40 Wind turbines are classified as second group, and 41-43 Wind turbines are classified as the 3rd group, and 44-50 Wind turbines are classified as the 4th group.By
Cluster arborescence to understand, the condition further corrected is not met in this cluster result, therefore finally divide group's scheme i.e.
For above-mentioned gained grouping result.
For the ease of comparing, the Equivalent Model and wind power plant detailed model of the present invention are emulated respectively.Simulation result
As shown in Fig. 6 (a) and Fig. 6 (b), as can be seen from the figure Equivalent Model has very strong ability of tracking to detailed model, and active,
Idle stable state, transient response have good fitting degree.
(2) configuration information of failure 2：The loop line midpoint of double back feeder line one sets three-phase shortcircuit to be grounded, and failure is put into during 2.0s,
Removed after 0.15s.
The process for dividing group's scheme to obtain in failure 2 is identical with the acquisition process in failure 1, no longer repeats here.In order to just
In comparing, the Equivalent Model and wind power plant detailed model of the present invention are emulated respectively.Simulation result such as Fig. 7 (a) and Fig. 7
(b) shown in, it can draw and be analyzed above middle identical conclusion from figure, the equivalence method in the present invention has to position of failure point
Good adaptability.
The valve systems such as the directly driven wind-powered field of the present invention have advantages below：
(1) influence of the generator terminal difference Voltage Drop situation to equivalent result, accuracy height have been taken into full account.
(2) the active power transient response curve of Wind turbines is obtained by way of off-line simulation, and establishes database,
It is active under each typhoon group of motors matching corresponding state by the real-time wind speed of on-line measurement Wind turbines and set end voltage situation
Power transient response curve, carry out wind power plant cluster and divide group.In this way, the amount of calculation of online equivalence can be reduced, is improved
Online equivalent efficiency.
(3) after cluster divides group, the information of each machine group, including the distance between each machine group are further integrated
With the quantity of Wind turbines in each machine group, the machine group that distance each other is sufficiently close to or Wind turbines content are very few
Machine group merged with the machine group apart from closest machine group, in the case where ensureing equivalent precision, maximum can
The simplification Equivalent Model of energy, computation complexity is reduced, improve computational efficiency.
The valve systems such as the directly driven wind-powered field of the present invention and the directly driven wind-powered field equivalence method of the present invention correspond, above-mentioned
The technical characteristic and its advantage that the embodiment of directly driven wind-powered field equivalence method illustrates are applied to the equivalent system in directly driven wind-powered field
In the embodiment of system, hereby give notice that.
Each technical characteristic of embodiment described above can be combined arbitrarily, to make description succinct, not to above-mentioned reality
Apply all possible combination of each technical characteristic in example to be all described, as long as however, the combination of these technical characteristics is not deposited
In contradiction, the scope that this specification is recorded all is considered to be.
Embodiment described above only expresses the several embodiments of the present invention, and its description is more specific and detailed, but simultaneously
Can not therefore it be construed as limiting the scope of the patent.It should be pointed out that come for one of ordinary skill in the art
Say, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the protection of the present invention
Scope.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (9)
1. a kind of directly driven wind-powered field equivalence method, it is characterised in that comprise the following steps：
Fault simulation experiment is carried out to separate unit direct drive wind power unit, according to different Voltage Drop depth in full blast speed operation area
The offline database that active power response curve at lower direct drive wind power machine set outlet is established under each Voltage Drop depth；
It is every direct-drive type in wind power plant from the offline database according to the Voltage Drop depth of wind-powered electricity generation field real-time measurement
The offline database of Wind turbines selection matching, is every direct drive wind power unit according to the wind speed of every direct drive wind power unit
Corresponding active power response curve is matched from the offline database of matching, and the active power response curve of acquisition is carried out
Cluster divides group；
According to cluster grouping result the direct drive wind power unit is divided into several machine groups, calculate each machine group etc.
Value parameter, directly driven wind-powered field Equivalent Model is established according to grouping result and equivalent parameters.
2. directly driven wind-powered field equivalence method according to claim 1, it is characterised in that according in full blast speed operation area not
Established with the active power response curve at direct drive wind power machine set outlet under Voltage Drop depth under each Voltage Drop depth
Offline database the step of include：
Unit fault simulation model is established for the direct drive wind power unit unit Test to Failure；
The input wind speed of the direct drive wind power unit is set；
The Voltage Drop depth of direct drive wind power unit generator terminal during failure in the unit fault simulation model is set；
Different Voltage Drop depth profiles in full blast speed operation area are emulated according to the unit fault simulation model, obtained
To the active power response curve；
Offline database is established according to the active power response curve.
3. directly driven wind-powered field equivalence method according to claim 2, it is characterised in that the unit fault simulation model bag
Direct drive wind power unit, collection electric line, generator terminal step-up transformer, network system and faulty generators model are included, wherein, it is described straight
Drive wind unit model includes wind energy conversion system, shafting, magneto alternator, full power convertor and its control system, becomes oar
Away from control system and discharging circuit and its control system model.
4. directly driven wind-powered field equivalence method according to claim 2, it is characterised in that in the unit fault simulation model
The scope of direct drive wind power unit set end voltage drop depth is the 10% to 100% of rated voltage during failure, step interval
For the 10% of rated voltage.
5. directly driven wind-powered field equivalence method according to claim 1, it is characterised in that the equivalent parameters include equivalent wind
Speed, direct drive wind power unit equivalent parameters and equivalent collection electric line.
6. directly driven wind-powered field equivalence method according to claim 1, it is characterised in that in the offline database of matching
Active power response curve, which carries out the step of cluster divides group, to be included：
Calculate active power response curve in the offline database of matching Chebyshev's distance between any two and European
Distance；
According to Chebyshev's distance and Euclidean distance to the active power response curve in the offline database of the matching
Carry out cluster and divide group.
A kind of 7. valve systems such as directly driven wind-powered field, it is characterised in that including：
First establishes module, for carrying out fault simulation experiment to separate unit direct drive wind power unit, according to full blast speed operation area
Active power response curve under interior different Voltage Drop depth at direct drive wind power machine set outlet, it is deep to establish each Voltage Drop
Offline database under degree；
Cluster module, it is wind power plant from the offline database for the Voltage Drop depth according to wind-powered electricity generation field real-time measurement
In every direct drive wind power unit optimum selection matching offline database, according to the wind speed of every direct drive wind power unit be every
Direct drive wind power unit matches corresponding active power response curve from the offline database of matching, and to the wattful power of acquisition
Rate response curve carries out cluster and divides group；
Second establishes module, for the direct drive wind power unit to be divided into several machine groups according to cluster grouping result,
The equivalent parameters of each machine group are calculated, directly driven wind-powered field Equivalent Model is established according to grouping result and equivalent parameters.
8. the valve systems such as directly driven wind-powered field according to claim 7, it is characterised in that described first, which establishes module, includes：
First establishes unit, for establishing unit fault simulation model for the direct drive wind power unit unit Test to Failure；
First setting unit, for setting the input wind speed of the direct drive wind power unit；
Second setting unit, for setting the electricity of direct drive wind power unit generator terminal during failure in the unit fault simulation model
Press drop depth；
Simulation unit, for according to the unit fault simulation model to different Voltage Drop depth feelings in full blast speed operation area
Condition is emulated, and obtains the active power response curve；
Second establishes unit, for establishing offline database according to the active power response curve.
9. the valve systems such as directly driven wind-powered field according to claim 8, it is characterised in that the unit fault simulation model bag
Direct drive wind power unit, collection electric line, generator terminal step-up transformer, network system and faulty generators model are included, wherein, it is described straight
Drive wind unit model includes wind energy conversion system, shafting, magneto alternator, total power converter and its control system, becomes oar
Away from control system and discharging circuit and its control system model.
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| CN106202815B (en) * | 2016-07-26 | 2019-04-26 | 哈尔滨工业大学 | Double-feed wind power field Dynamic Equivalence based on active response |
| CN106383947B (en) * | 2016-09-18 | 2019-08-02 | 哈尔滨工业大学 | The fast acquiring method of wind power plant current collection network dynamic equivalent parameters |
| CN111639110A (en) * | 2020-06-02 | 2020-09-08 | 国电联合动力技术有限公司 | Wind turbine generator fault early warning method and device |
| CN114725911B (en) * | 2022-04-06 | 2024-03-26 | 合肥工业大学 | Estimation method for neutral point grounding resistance of transformer of wind farm collecting station system |
| CN115750230A (en) * | 2022-11-24 | 2023-03-07 | 盛东如东海上风力发电有限责任公司 | Method and system for dividing digital simulation model of wind turbine generator |
| CN117791706A (en) * | 2023-12-21 | 2024-03-29 | 四川大学 | Wind power plant grouping equivalence method based on mechanism-data hybrid drive |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104200027A (en) * | 2014-09-02 | 2014-12-10 | 河海大学 | Wind power plant equivalent modeling method and device with low voltage ride through characteristic considered |
| CN104361170A (en) * | 2014-11-06 | 2015-02-18 | 国家电网公司 | Method of equivalent modeling of wind power plant for large-scale wind power integration transient stability analysis |
| CN104732008A (en) * | 2015-01-09 | 2015-06-24 | 国家电网公司 | Wind power plant equating method based on low voltage ride through period control strategy |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104200027A (en) * | 2014-09-02 | 2014-12-10 | 河海大学 | Wind power plant equivalent modeling method and device with low voltage ride through characteristic considered |
| CN104361170A (en) * | 2014-11-06 | 2015-02-18 | 国家电网公司 | Method of equivalent modeling of wind power plant for large-scale wind power integration transient stability analysis |
| CN104732008A (en) * | 2015-01-09 | 2015-06-24 | 国家电网公司 | Wind power plant equating method based on low voltage ride through period control strategy |
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Effective date of registration: 20210806 Address after: 510663 3 building, 3, 4, 5 and J1 building, 11 building, No. 11, Ke Xiang Road, Luogang District Science City, Guangzhou, Guangdong. Patentee after: China South Power Grid International Co.,Ltd. Patentee after: HARBIN INSTITUTE OF TECHNOLOGY Address before: 510080 water Donggang 8, Dongfeng East Road, Yuexiu District, Guangzhou, Guangdong. Patentee before: China South Power Grid International Co.,Ltd. Patentee before: HARBIN INSTITUTE OF TECHNOLOGY Patentee before: POWER GRID TECHNOLOGY RESEARCH CENTER. CHINA SOUTHERN POWER GRID |