CN105576654A - Equivalent method and system of direct-driven wind power plant - Google Patents

Equivalent method and system of direct-driven wind power plant Download PDF

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CN105576654A
CN105576654A CN201610015797.1A CN201610015797A CN105576654A CN 105576654 A CN105576654 A CN 105576654A CN 201610015797 A CN201610015797 A CN 201610015797A CN 105576654 A CN105576654 A CN 105576654A
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wind
active power
wind turbines
response curve
voltage drop
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CN105576654B (en
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齐金玲
金小明
晁璞璞
李卫星
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China South Power Grid International Co ltd
Harbin Institute of Technology
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Harbin Institute of Technology
Power Grid Technology Research Center of China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/30Circuit design
    • G06F30/36Circuit design at the analogue level
    • G06F30/367Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

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  • Computer Hardware Design (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Power Engineering (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Evolutionary Computation (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention relates to an equivalent method and system of a direct-driven wind power plant. The method comprises the following steps of carrying out fault simulation test on a single wind power generation set, and building an off-line database under each voltage sag depth according to active power response curves at an outlet of the wind power generation set under different voltage sag depths in a full wind speed running region; selecting the matched off-line database for each wind power generation set in the wind power plant from the off-line databases according to the voltage sag depths measured in real time of the wind power plant, matching a corresponding active power response curve from the matched off-line database for each wind power generation set according to the wind speed of each wind power generation set, and clustering and grouping the obtained active power response curves; and dividing the wind power generation sets into a plurality of set groups according to clustering and grouping results, calculating an equivalent parameter of each set group, and building an equivalent model of the direct-driven wind power plant according to the grouping results and the equivalent parameters. The equivalent method and system of the direct-driven wind power plant is high in accuracy.

Description

Directly driven wind-powered field equivalence method and system
Technical field
The present invention relates to electric system simulation modeling technique field, particularly relate to a kind of directly driven wind-powered field equivalence method and system.
Background technology
Along with the fast development of wind-powered electricity generation, wind power system also expands whole electrical network to from local gradually to the coverage of electrical network.Due to the requirement of the randomness of wind energy, the unmanned on-the-spot post of running of wind generating set and power system operation high reliability, it is very necessary for setting up wind energy turbine set simulation model.In actual applications, a wind energy turbine set Wind turbines One's name is legion, and operating condition is different, wind energy turbine set model order will be made very huge if carry out detailed modeling to every platform unit, also can bring long, serious problems such as committed memory is large such as computing time.Therefore, set up suitable dynamic model, the dynamic behaviour of simulating wind energy turbine set is exactly the basis of simulation study.
At present, the equivalence method of directly driven wind-powered field mainly contains unit characterization method and multimachine characterization method.Unit characterization method is a typhoon group of motors by whole wind energy turbine set equivalence, and the power of equivalent machine is the algebraical sum of all powers of the assembling unit.For Large Scale Wind Farm Integration, between Wind turbines, operating condition is different, and unit characterization method certainly exists the problem being difficult to take into account running status difference between Wind turbines, can produce larger systematic error.Multimachine characterization method is according to different principles of hiving off, and is a few typhoon group of motors by wind energy turbine set equivalence.Compared to unit characterization method, multimachine model more can embody the otherness of operating states of the units in wind energy turbine set, and it is crucial for rationally hiving off in the method.At present, grouping method mainly contains: (1) hives off by unit position and network-building method, that is: according to Wind turbines position, the same row's unit linked together, electrical distance is nearer is divided into same a group.This method ensure that in group, unit has close set end voltage, has close response to electric network fault, but does not have adaptability to wind direction, and the number that hives off increases with the increase of wind energy turbine set scale, and Equivalent Model simplifies not.(2) by clustering algorithm, hive off by operating states of the units information.Running of wind generating set control area, the meritorious data of Wind turbines actual measurement and gained merit by wind speed, unit, synthesize cluster index that voltage, the electric current initial value before fault forms all is suggested.But, existing multimachine characterization method is when carrying out the research of wind energy turbine set equivalence, mostly fail to take into full account this problem of Wind turbines set end voltage difference caused by connection line in actual wind field, the fresh rare research for wind energy turbine set equivalence method in different Voltage Drop situation.In fact, when the line voltage that the place of breaking down in network system is different or cause due to certain factor in electrical network is lower than normal value, all can be reflected as wind energy turbine set entirety for grid-connected wind farms and presents different voltage levvls.Therefore, for making wind energy turbine set equivalence more fit actual conditions, be necessary to launch research for this problem.
Summary of the invention
Based on this, be necessary for the problems referred to above, a kind of directly driven wind-powered field equivalence method and system are provided.
A kind of directly driven wind-powered field equivalence method, comprises the following steps:
Fault simulation test is carried out to separate unit Wind turbines, sets up the offline database under each Voltage Drop degree of depth according to the active power response curve in Wind turbines exit under the different Voltage Drop degree of depth in full blast speed operation area;
According to the Voltage Drop degree of depth of wind-powered electricity generation field real-time measurement, it is the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database, be every typhoon group of motors according to the wind speed of every typhoon group of motors mates corresponding active power response curve from the offline database of coupling, and carries out cluster to the active power response curve obtained and hive off;
According to cluster grouping result, described Wind turbines is divided into several machine groups, calculates the equivalent parameters of each machine group, set up directly driven wind-powered field Equivalent Model according to grouping result and equivalent parameters.
The valve systems such as a kind of directly driven wind-powered field, comprising:
First sets up module, for carrying out fault simulation test to separate unit Wind turbines, according to the active power response curve in Wind turbines exit under the different Voltage Drop degree of depth in full blast speed operation area, sets up the offline database under each Voltage Drop degree of depth;
Cluster module, for the Voltage Drop degree of depth according to wind-powered electricity generation field real-time measurement, it is the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database, be every typhoon group of motors according to the wind speed of every typhoon group of motors mates corresponding active power response curve from the offline database of coupling, and carries out cluster to the active power response curve obtained and hive off;
Second sets up module, for described Wind turbines being divided into several machine groups according to cluster grouping result, calculates the equivalent parameters of each machine group, sets up directly driven wind-powered field Equivalent Model according to grouping result and equivalent parameters.
Above-mentioned directly driven wind-powered field equivalence method and system, by setting up the offline database under each Voltage Drop degree of depth, it is the offline database of every typhoon group of motors selection coupling of wind energy turbine set from described offline database, and the active power response curve in the offline database of coupling is carried out cluster and hived off, according to cluster grouping result, described Wind turbines is divided into several machine groups, calculate the equivalent parameters of each machine group, directly driven wind-powered field Equivalent Model is set up according to grouping result and equivalent parameters, take into full account that the different Voltage Drop situation of machine end is on the impact of equivalent result, accuracy is high.
Accompanying drawing explanation
Fig. 1 is the directly driven wind-powered field equivalence method flow chart of an embodiment;
Fig. 2 is wind energy turbine set detailed model schematic diagram;
Fig. 3 is that the wind speed of every typhoon group of motors in wind energy turbine set and set end voltage fall situation schematic diagram;
Fig. 4 is Wind turbines active power transient response curve chart under the corresponding state extracted from off-line storehouse;
Fig. 5 is cluster arborescence;
Active power comparison diagram when Fig. 6 (a) is fault 1;
Reactive power comparison diagram when Fig. 6 (b) is fault 1;
Active power comparison diagram when Fig. 7 (a) is fault 2;
Reactive power comparison diagram when Fig. 7 (b) is fault 2;
Fig. 8 is the structural representation of the valve systems such as the directly driven wind-powered field of an embodiment.
Embodiment
Be described below in conjunction with the embodiment of accompanying drawing to directly driven wind-powered field of the present invention equivalence method.
Fig. 1 is the directly driven wind-powered field equivalence method flow chart of an embodiment.As shown in Figure 1, described directly driven wind-powered field equivalence method can comprise the following steps:
S1, carries out fault simulation test to separate unit Wind turbines, sets up the offline database under each Voltage Drop degree of depth according to the active power response curve in Wind turbines exit under the different Voltage Drop degree of depth in full blast speed operation area;
In this step, described Wind turbines is direct drive wind power unit.Before setting up offline database, the mode by emulation obtains described active power response curve.Described active power response curve is preserved, sets up offline database.In this way, online equivalent amount of calculation can be reduced, improve online equivalent efficiency.By setting up offline database with under type:
Step 1: can be described Wind turbines unit Test to Failure and set up unit fault simulation model;
In this step, described unit fault simulation model can comprise the models such as Wind turbines, current collection circuit, machine end step-up transformer, network system, faulty generators.Wherein wind turbine model can comprise again wind energy conversion system, axle system, magneto alternator, full power convertor and control system, variable-pitch control system and the model such as discharging circuit and control system thereof.
Step 2: the input wind speed that described Wind turbines can be set;
In this step, the full blast speed of the scope that can set the input wind speed of described Wind turbines running of wind generating set for this reason, namely from incision wind speed to cut-out wind speed, and the step interval that can set described input wind speed is 0.1m/s.
Step 3: the Voltage Drop degree of depth that Wind turbines machine end between age at failure in described unit fault simulation model can be set;
In this step, the scope that can set the Voltage Drop degree of depth of described unit fault simulation model is 10% to 100% of rated voltage, and the step interval that can set the described Voltage Drop degree of depth is 10% of rated voltage.Different Voltage Drop degree can be simulated by the resistance changing earth resistance.
Step 4: can emulate different Voltage Drop depth profile in full blast speed operation area according to described unit fault simulation model, obtain described active power response curve.
In this step, can set relevant parameter in simulation software, such as, the wind speed range of Wind turbines work is full blast speed operation area, namely from the incision wind speed of Wind turbines to cut-out wind speed.On this basis, according to the Voltage Drop degree of depth arranged in step 3, described Wind turbines can be emulated.
Step 5: set up offline database according to described active power response curve.
After obtaining described active power response curve, several offline databases can be set up according to described active power response curve.Be the 10% to 100% corresponding of rated voltage with the described Voltage Drop degree of depth, 10 offline databases can be set up.
S2, according to the Voltage Drop degree of depth of wind-powered electricity generation field real-time measurement, it is the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database, be every typhoon group of motors according to the wind speed of every typhoon group of motors mates corresponding active power response curve from the offline database of coupling, and carries out cluster to the active power response curve obtained and hive off;
By the wind speed measured in real time and the Voltage Drop degree of depth in this step, from offline database, mate the active power response curve of Wind turbines under corresponding state, cluster is carried out to it and hives off.Wherein, when the actual measurement Voltage Drop degree of depth is mated with offline database, can the principle that rounds up be adopted, select the database the most close with actual measurement Voltage Drop degree.Here clustering algorithm can adopt widely used clustering tree method, cluster sample can be made to be all active power transient response curves extracted, Chebyshev's Distance geometry Euclidean distance two range indexs can be considered, cluster is carried out to the active power response curve in the offline database of described coupling and hives off.The distance defined is used for reflecting global similarity degree between curve, and distance is less, shows that two curves are more close, can be combined into same a group.Because this clustering algorithm does not belong to the row of the present invention, be only used to a kind of approach of implementation method, be not described in detail here.
Wherein in an embodiment, if think to simplify Equivalent Model further, also comprise after step S2: after described Wind turbines is divided into several machine groups by the result of hiving off according to cluster, according to following default correction principle, quantity of hiving off can be reduced further.Principle 1: if the distance of existence two machine groups is very close to classification thresholds, described two machine groups can be merged into a machine group further.Particularly, distance between different machine group can be obtained according to cluster arborescence, compared with the classification thresholds preset; If described distance is slightly larger than classification thresholds, but very close to classification thresholds, the machine group of correspondence can be merged into a machine group.Principle 2: according to cluster grouping result, the quantity of Wind turbines in equivalent each machine group rear can be obtained; Respectively by the quantity of Wind turbines in each machine group with preset amount threshold compared with; If the quantity of the Wind turbines in certain a group is less than default amount threshold, machine group the most close with distance for this group also can be considered to merge.When ensureing equivalent precision, reducing computation complexity, improving computational efficiency.
S3, is divided into several machine groups according to cluster grouping result by described Wind turbines, calculates the equivalent parameters of each machine group, sets up directly driven wind-powered field Equivalent Model according to grouping result and equivalent parameters.
Wherein in an embodiment, also comprise after step S3: adopt at least one group to detect wind speed, convert at least two abort situation points, validation verification is carried out to described directly driven wind-powered field Equivalent Model.
Described validation verification is carried out to directly driven wind-powered field Equivalent Model, particularly, wind speed is detected by adopting at least one group, convert at least two abort situation points, respectively to directly driven wind-powered field Equivalent Model and directly driven wind-powered field detailed model under identical state, comprise identical input wind speed, fault occurrences etc., carry out l-G simulation test, contrast directly driven wind-powered field Equivalent Model and directly driven wind-powered field detailed model and the active power of output of site, the response curve of reactive power, evaluate the order of accuarcy of directly driven wind-powered field Equivalent Model accordingly.Described wind farm grid-connected point is the points of common connection of Wind turbines in wind energy turbine set.
Calculate the equivalent parameters of same group's unit in this step, equivalent front and back Wind turbines power output can be all principle mutually, calculate equivalent wind speed; Capacity weighting method can be adopted to calculate Wind turbines equivalent parameters; Voltage difference can not become principle, calculate equivalent current collection circuit.
Apply above-mentioned directly driven wind-powered field equivalence method, to one 5 row 10 row, the directly driven wind-powered field that totally 50 typhoon group of motors are formed is carried out equivalence and is hived off.
Wind energy turbine set detailed model as shown in Figure 2,50 typhoon group of motors models in directly driven wind-powered field are identical, Wind turbines can adopt machine one structure changes, every typhoon group of motors rated voltage can be set to 690V, PCC (the PointofCommonCoupling of wind energy turbine set is connected to by machine end step-up transformer, points of common connection) place, then rise to 220kV by wind energy turbine set main transformer, in 30km double back feeder line access network system.Between adjacent Wind turbines, interconnection length can be set to 0.5km, and between PCC to wind energy turbine set main transformer, interconnection length can be set to 1.0km, and between wind energy turbine set main transformer to network system, the length of interconnection can be set to 30.0km, and wind energy turbine set detailed model as shown in Figure 2.
For investigating the validity of this method to different Voltage Drop degree and position of failure point, can respectively in Wind turbines exit and double back feeder line a loop line midpoint three phase short circuit fault is set.
(1) fault 1 configuration information: can arrange three-phase shortcircuit ground connection in wind energy turbine set exit, during 2.0s, fault drops into, and removes after 0.15s.
First, wind speed and the set end voltage drop information of each typhoon group of motors can be obtained, as shown in Figure 3.Can, according to the Voltage Drop degree of depth of wind-powered electricity generation field real-time measurement, be the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database.As can be seen from Figure 3,1, the set end voltage of 2,11,12,21,31, No. 41 Wind turbines drop to rated voltage 10% to 14% between, therefore for these Wind turbines matching voltage drop to the database of rated voltage 10%, namely the Voltage Drop degree of depth is the database of 90%.The set end voltage of all the other Wind turbines drop to rated voltage 15% to 20% between, therefore by aforementioned offline database matching principle, adopt the method rounded up, for these Wind turbines matching voltage drop to the database of rated voltage 20%, namely the Voltage Drop degree of depth is the database of 80%.Be it according to the wind speed of each typhoon group of motors extracts corresponding active power transient response curve from the offline database of coupling, is all extracted by the active power transient response curve of all Wind turbines, totally 50 curves, as shown in Figure 4.Using these 50 active power transient response curves as clustering object, calculated curve Chebyshev's Distance geometry Euclidean distance two indices between any two.Curve comprehensive distance between any two can be made to be the mean value of Chebyshev's Distance geometry Euclidean distance, after obtaining curve distance each other, application ClusterTree, carries out cluster to this distance, based on distance cluster result as shown in Figure 5, using 0.00015p.u. as classification thresholds.As can be seen from Figure 5, wind energy turbine set can be divided into 4 groups, and concrete grouping result is: 1-38 Wind turbines is classified as first group, and 39-40 Wind turbines is classified as second group, and 41-43 Wind turbines is classified as the 3rd group, and 44-50 Wind turbines is classified as the 4th group.From cluster arborescence, in this cluster result, do not meet the condition revised further, scheme of therefore finally hiving off is above-mentioned gained grouping result.
For the ease of comparing, Equivalent Model of the present invention and wind energy turbine set detailed model are emulated respectively.Simulation result is as shown in Fig. 6 (a) He Fig. 6 (b), and as can be seen from the figure Equivalent Model has very strong follow-up control to detailed model, and meritorious, idle stable state, transient response have good fitting degree.
(2) fault 2 configuration information: double back feeder line one loop line midpoint arranges three-phase shortcircuit ground connection, during 2.0s, fault drops into, and removes after 0.15s.
The process that scheme of hiving off in fault 2 obtains is identical with the acquisition process in fault 1, no longer repeats here.For the ease of comparing, Equivalent Model of the present invention and wind energy turbine set detailed model are emulated respectively.Simulation result is as shown in Fig. 7 (a) He Fig. 7 (b), and can draw the conclusion identical with upper surface analysis from figure, the equivalence method in the present invention has good adaptability to position of failure point.
Directly driven wind-powered field of the present invention equivalence method has the following advantages:
(1) taken into full account that the different Voltage Drop situation of machine end is on the impact of equivalent result, accuracy is high.
(2) the active power transient response curve of Wind turbines is obtained by the mode of off-line simulation, and building database, by the real-time wind speed of on-line measurement Wind turbines and set end voltage situation be each typhoon group of motors coupling corresponding state under active power transient response curve, carry out wind energy turbine set cluster and hive off.In this way, online equivalent amount of calculation can be reduced, improve online equivalent efficiency.
(3) after cluster is hived off, the information of each machine group comprehensive further, comprise the quantity of Wind turbines in each machine group of Distance geometry between each machine group, by the very close machine group of distance or the very few machine group of Wind turbines content merge apart from machine group the most close with this machine group each other, when ensureing equivalent precision, the simplification Equivalent Model of maximum possible, reduces computation complexity, improves computational efficiency.
Be described below in conjunction with the embodiment of accompanying drawing to valve systems such as directly driven wind-powered fields of the present invention.
Fig. 8 is the structural representation of the valve systems such as the directly driven wind-powered field of an embodiment.As shown in Figure 8, the valve system such as described directly driven wind-powered field can comprise:
First sets up module 10, for carrying out fault simulation test to separate unit Wind turbines, sets up the offline database under each Voltage Drop degree of depth according to the active power response curve in Wind turbines exit under the different Voltage Drop degree of depth in full blast speed operation area;
Described Wind turbines is direct drive wind power unit.Described first set up module 10 before setting up offline database, and the mode by emulation obtains described active power response curve.Described active power response curve can preserve by the described first memory cell setting up module 10, sets up offline database.In this way, online equivalent amount of calculation can be reduced, improve online equivalent efficiency.Described first sets up module 10 can comprise:
First sets up unit, can be described Wind turbines unit Test to Failure and sets up unit fault simulation model;
Described unit fault simulation model can comprise the models such as Wind turbines, current collection circuit, machine end step-up transformer, network system, faulty generators.Wherein, wind turbine model can comprise again wind energy conversion system, axle system, magneto alternator, full power convertor and control system, variable-pitch control system and the model such as discharging circuit and control system thereof.
Input unit, can arrange the input wind speed of described Wind turbines;
The full blast speed of the scope that can set the input wind speed of described Wind turbines running of wind generating set for this reason, namely from incision wind speed to cut-out wind speed, and the step interval that can set described input wind speed is 0.1m/s.
Setting unit, can arrange the Voltage Drop degree of depth of Wind turbines machine end between age at failure in described unit fault simulation model;
The scope that can set the Voltage Drop degree of depth of described unit fault simulation model is 10% to 100% of rated voltage, and the step interval that can set the described Voltage Drop degree of depth is 10% of rated voltage.Different Voltage Drop degree can be simulated by the resistance changing earth resistance.
Simulation unit, can emulate different Voltage Drop depth profile in full blast speed operation area according to described unit fault simulation model, obtain described active power response curve.
Can set relevant parameter in simulation software, such as, the wind speed range of Wind turbines work is full blast speed operation area, namely from the incision wind speed of Wind turbines to cut-out wind speed.On this basis, the Voltage Drop degree of depth that can arrange according to setting unit emulates described Wind turbines.
Second sets up unit, can set up offline database according to described active power response curve.
After obtaining described active power response curve, several offline databases can be set up according to described active power response curve.Be the 10% to 100% corresponding of rated voltage with the described Voltage Drop degree of depth, 10 offline databases can be set up.
Cluster module 20, for the Voltage Drop degree of depth according to wind-powered electricity generation field real-time measurement, it is the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database, be every typhoon group of motors according to the wind speed of every typhoon group of motors mates corresponding active power response curve from the offline database of coupling, and carries out cluster to the active power response curve obtained and hive off;
By the wind speed measured in real time and the Voltage Drop degree of depth, from offline database, mate the active power response curve of Wind turbines under corresponding state, cluster is carried out to it and hives off.Wherein, when the actual measurement Voltage Drop degree of depth is mated with offline database, can the principle that rounds up be adopted, select the database the most close with actual measurement Voltage Drop degree.Here clustering algorithm can adopt widely used clustering tree method, cluster sample can be made for extracted active power transient response curve, Chebyshev's Distance geometry Euclidean distance two range indexs can be considered, cluster is carried out to the active power response curve in the offline database of described coupling and hives off.The distance defined is used for reflecting global similarity degree between curve, and distance is less, shows that two curves are more close, can be combined into same a group.Because this clustering algorithm does not belong to the row of the present invention, be only used to a kind of approach of implementation method, be not described in detail here.
Wherein in an embodiment, if think to simplify Equivalent Model further, the valve systems such as above-mentioned direct drive wind power field also comprise: after described Wind turbines is divided into several machine groups by the result of hiving off according to cluster, according to following default correction principle, can reduce quantity of hiving off further.Principle 1: if the distance of existence two machine groups is very close to classification thresholds, described two machine groups can be merged into a machine group further.Particularly, distance between different machine group can be obtained according to cluster arborescence, compared with the classification thresholds preset; If though described distance is slightly larger than classification thresholds, very close to classification thresholds, the machine group of correspondence can be merged into a machine group.Principle 2: according to cluster grouping result, the quantity of Wind turbines in equivalent each machine group rear can be obtained; Respectively by the quantity of Wind turbines in each machine group with preset amount threshold compared with; If the quantity of the Wind turbines in certain a group is less than default amount threshold, machine group the most close with distance for this group also can be considered to merge.When ensureing equivalent precision, reducing computation complexity, improving computational efficiency.
Second sets up module 30, for described Wind turbines being divided into several machine groups according to cluster grouping result, calculates the equivalent parameters of each machine group, sets up directly driven wind-powered field Equivalent Model according to grouping result and equivalent parameters.
Described second sets up the equivalent parameters that module 30 calculates same group's unit, equivalent front and back Wind turbines power output can be all principle mutually, calculate equivalent wind speed; Capacity weighting method can be adopted to calculate Wind turbines equivalent parameters; Voltage difference can not become principle, calculate equivalent current collection circuit.
Wherein in an embodiment, the valve systems such as above-mentioned directly driven wind-powered field also comprise: adopt at least one group to detect wind speed, convert at least two abort situation points, carry out validation verification to described directly driven wind-powered field Equivalent Model.
Described validation verification is carried out to directly driven wind-powered field Equivalent Model, particularly, wind speed is detected by adopting at least one group, convert at least two abort situation points, respectively to directly driven wind-powered field Equivalent Model and direct drive wind power field detailed model under identical state, comprise identical input wind speed, fault occurrences etc., carry out l-G simulation test, contrast directly driven wind-powered field Equivalent Model and directly driven wind-powered field detailed model and the active power of output of site, the response curve of reactive power, evaluate the order of accuarcy of directly driven wind-powered field Equivalent Model accordingly.Described wind farm grid-connected point is the points of common connection of Wind turbines in wind energy turbine set.
Apply above-mentioned directly driven wind-powered field equivalence method, to one 5 row 10 row, the directly driven wind-powered field that totally 50 typhoon group of motors are formed is carried out equivalence and is hived off.
Wind energy turbine set detailed model as shown in Figure 2,50 typhoon group of motors models in directly driven wind-powered field are identical, Wind turbines can adopt machine one structure changes, every typhoon group of motors rated voltage can be set to 690V, PCC (the PointofCommonCoupling of wind energy turbine set is connected to by machine end step-up transformer, points of common connection) place, then rise to 220kV by wind energy turbine set main transformer, in 30km double back feeder line access network system.Between adjacent Wind turbines, interconnection length can be set to 0.5km, and between PCC to wind energy turbine set main transformer, interconnection length can be set to 1.0km, and between wind energy turbine set main transformer to network system, the length of interconnection can be set to 30.0km, and wind energy turbine set detailed model as shown in Figure 2.
For investigating the validity of this method to different Voltage Drop degree and position of failure point, can respectively in Wind turbines exit and double back feeder line a loop line midpoint three phase short circuit fault is set.
(1) fault 1 configuration information: can arrange three-phase shortcircuit ground connection in wind energy turbine set exit, during 2.0s, fault drops into, and removes after 0.15s.
First, wind speed and the set end voltage drop information of each typhoon group of motors can be obtained, as shown in Figure 3.Can, according to the Voltage Drop degree of depth of wind-powered electricity generation field real-time measurement, be the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database.As can be seen from Figure 3,1, the set end voltage of 2,11,12,21,31, No. 41 Wind turbines drop to rated voltage 10% to 14% between, therefore for these Wind turbines matching voltage drop to the database of rated voltage 10%, namely the Voltage Drop degree of depth is the database of 90%.The set end voltage of all the other Wind turbines drop to rated voltage 15% to 20% between, therefore by aforementioned offline database matching principle, adopt the method rounded up, for these Wind turbines matching voltage drop to the database of rated voltage 20%, namely the Voltage Drop degree of depth is the database of 80%.Be it according to the wind speed of each typhoon group of motors extracts corresponding active power transient response curve from the offline database of coupling, is all extracted by the active power transient response curve of all Wind turbines, totally 50 curves, as shown in Figure 4.Using these 50 active power transient response curves as clustering object, calculated curve Chebyshev's Distance geometry Euclidean distance two indices between any two.Curve comprehensive distance between any two can be made to be the mean value of Chebyshev's Distance geometry Euclidean distance, after obtaining curve distance each other, application ClusterTree, carries out cluster to this distance, based on distance cluster result as shown in Figure 5, using 0.00015p.u. as classification thresholds.As can be seen from Figure 5, wind energy turbine set can be divided into 4 groups, and concrete grouping result is: 1-38 Wind turbines is classified as first group, and 39-40 Wind turbines is classified as second group, and 41-43 Wind turbines is classified as the 3rd group, and 44-50 Wind turbines is classified as the 4th group.From cluster arborescence, in this cluster result, do not meet the condition revised further, scheme of therefore finally hiving off is above-mentioned gained grouping result.
For the ease of comparing, Equivalent Model of the present invention and wind energy turbine set detailed model are emulated respectively.Simulation result is as shown in Fig. 6 (a) He Fig. 6 (b), and as can be seen from the figure Equivalent Model has very strong follow-up control to detailed model, and meritorious, idle stable state, transient response have good fitting degree.
(2) fault 2 configuration information: double back feeder line one loop line midpoint arranges three-phase shortcircuit ground connection, during 2.0s, fault drops into, and removes after 0.15s.
The process that scheme of hiving off in fault 2 obtains is identical with the procurement process in fault 1, no longer repeats here.For the ease of comparing, Equivalent Model of the present invention and wind energy turbine set detailed model are emulated respectively.Simulation result is as shown in Fig. 7 (a) He Fig. 7 (b), and can draw the conclusion identical with upper surface analysis from figure, the equivalence method in the present invention has good adaptability to position of failure point.
The valve systems such as directly driven wind-powered field of the present invention have the following advantages:
(1) taken into full account that the different Voltage Drop situation of machine end is on the impact of equivalent result, accuracy is high.
(2) the active power transient response curve of Wind turbines is obtained by the mode of off-line simulation, and building database, by the real-time wind speed of on-line measurement Wind turbines and set end voltage situation be each typhoon group of motors coupling corresponding state under active power transient response curve, carry out wind energy turbine set cluster and hive off.In this way, online equivalent amount of calculation can be reduced, improve online equivalent efficiency.
(3) after cluster is hived off, the information of each machine group comprehensive further, comprise the quantity of Wind turbines in each machine group of Distance geometry between each machine group, by the very close machine group of distance or the very few machine group of Wind turbines content merge apart from machine group the most close with this machine group each other, when ensureing equivalent precision, the simplification Equivalent Model of maximum possible, reduces computation complexity, improves computational efficiency.
The valve systems such as directly driven wind-powered field of the present invention and directly driven wind-powered field of the present invention equivalence method one_to_one corresponding, the technical characteristic of setting forth in the embodiment of above-mentioned directly driven wind-powered field equivalence method and beneficial effect thereof are all applicable in the embodiment of the valve systems such as directly driven wind-powered field, hereby state.
Each technical characteristic of the above embodiment can combine arbitrarily, for making description succinct, the all possible combination of each technical characteristic in above-described embodiment is not all described, but, as long as the combination of these technical characteristics does not exist contradiction, be all considered to be the scope that this specification is recorded.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.

Claims (9)

1. a directly driven wind-powered field equivalence method, is characterized in that, comprise the following steps:
Fault simulation test is carried out to separate unit Wind turbines, sets up the offline database under each Voltage Drop degree of depth according to the active power response curve in Wind turbines exit under the different Voltage Drop degree of depth in full blast speed operation area;
According to the Voltage Drop degree of depth of wind-powered electricity generation field real-time measurement, it is the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database, be every typhoon group of motors according to the wind speed of every typhoon group of motors mates corresponding active power response curve from the offline database of coupling, and carries out cluster to the active power response curve obtained and hive off;
According to cluster grouping result, described Wind turbines is divided into several machine groups, calculates the equivalent parameters of each machine group, set up directly driven wind-powered field Equivalent Model according to grouping result and equivalent parameters.
2. directly driven wind-powered field according to claim 1 equivalence method, it is characterized in that, according in full blast speed operation area under the different Voltage Drop degree of depth step of the offline database that the active power response curve in Wind turbines exit is set up under each Voltage Drop degree of depth comprise:
For described Wind turbines unit Test to Failure sets up unit fault simulation model;
The input wind speed of described Wind turbines is set;
The Voltage Drop degree of depth of Wind turbines machine end between age at failure in described unit fault simulation model is set;
According to described unit fault simulation model, different Voltage Drop depth profile in full blast speed operation area is emulated, obtain described active power response curve;
Offline database is set up according to described active power response curve.
3. directly driven wind-powered field according to claim 2 equivalence method, it is characterized in that, described unit fault simulation model comprises Wind turbines, current collection circuit, machine end step-up transformer, network system and faulty generators model, wherein, described wind turbine model comprises wind energy conversion system, axle system, magneto alternator, full power convertor and control system, variable-pitch control system and discharging circuit and control system model thereof.
4. directly driven wind-powered field according to claim 2 equivalence method, it is characterized in that, the scope that in described unit fault simulation model, between age at failure, Wind turbines set end voltage falls the degree of depth is 10% to 100% of rated voltage, and step interval is 10% of rated voltage.
5. directly driven wind-powered field according to claim 1 equivalence method, is characterized in that, described equivalent parameters comprises equivalent wind speed, directly driven wind-powered unit equivalent parameters and equivalent current collection circuit.
6. directly driven wind-powered field according to claim 1 equivalence method, is characterized in that, carries out the step that cluster hives off comprise the active power response curve in the offline database of coupling:
Calculate the active power response curve Chebyshev's Distance geometry Euclidean distance between any two in the offline database of described coupling;
Carry out cluster according to described Chebyshev's Distance geometry Euclidean distance to the active power response curve in the offline database of described coupling to hive off.
7. the valve system such as directly driven wind-powered field, is characterized in that, comprising:
First sets up module, for carrying out fault simulation test to separate unit Wind turbines, according to the active power response curve in Wind turbines exit under the different Voltage Drop degree of depth in full blast speed operation area, sets up the offline database under each Voltage Drop degree of depth;
Cluster module, for the Voltage Drop degree of depth according to wind-powered electricity generation field real-time measurement, it is the offline database of the every typhoon group of motors selection coupling in wind energy turbine set from described offline database, be every typhoon group of motors according to the wind speed of every typhoon group of motors mates corresponding active power response curve from the offline database of coupling, and carries out cluster to the active power response curve obtained and hive off;
Second sets up module, for described Wind turbines being divided into several machine groups according to cluster grouping result, calculates the equivalent parameters of each machine group, sets up directly driven wind-powered field Equivalent Model according to grouping result and equivalent parameters.
8. the valve system such as directly driven wind-powered field according to claim 7, it is characterized in that, described first sets up module comprises:
First sets up unit, for setting up unit fault simulation model for described Wind turbines unit Test to Failure;
First setting unit, for arranging the input wind speed of described Wind turbines;
Second setting unit, for arranging the Voltage Drop degree of depth of Wind turbines machine end between age at failure in described unit fault simulation model;
Simulation unit, for emulating different Voltage Drop depth profile in full blast speed operation area according to described unit fault simulation model, obtains described active power response curve;
Second sets up unit, for setting up offline database according to described active power response curve.
9. the valve system such as directly driven wind-powered field according to claim 8, it is characterized in that, described unit fault simulation model comprises Wind turbines, current collection circuit, machine end step-up transformer, network system and faulty generators model, wherein, described wind turbine model comprises wind energy conversion system, axle system, magneto alternator, total power converter and control system, variable-pitch control system and discharging circuit and control system model thereof.
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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
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CN106202815A (en) * 2016-07-26 2016-12-07 哈尔滨工业大学 Double-feed wind power field based on meritorious response Dynamic Equivalence
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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

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