CN105914794B - An a kind of wind-powered electricity generation group of planes based on STATCOM/BESS coordinates booting-self controller method - Google Patents

An a kind of wind-powered electricity generation group of planes based on STATCOM/BESS coordinates booting-self controller method Download PDF

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CN105914794B
CN105914794B CN201610327744.3A CN201610327744A CN105914794B CN 105914794 B CN105914794 B CN 105914794B CN 201610327744 A CN201610327744 A CN 201610327744A CN 105914794 B CN105914794 B CN 105914794B
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CN105914794A (en
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蒋平
冯士睿
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Southeast University
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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
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • 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
    • H02J3/18Arrangements for adjusting, eliminating or compensating reactive power in networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/76Power conversion electric or electronic aspects
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10Flexible AC transmission systems [FACTS]

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  • Power Engineering (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

The invention discloses an a kind of wind-powered electricity generation group of planes based on STATCOM/BESS to coordinate booting-self controller method, comprises the following steps:S1:When DFIG self-startings under the conditions of off-network start, model feature during for DFIG self-startings, designs the booting-self controller device based on feedback linearization control algolithm;S2:After booting-self controller device detects the voltage and frequency stabilization of wind turbine islet operation, STATCOM/BESS is incorporated to;S3:After DFIG and the STATCOM startup of energy-storage system, it is incorporated to the DFIG for being not equipped with energy-storage system, coordinate fuzzy controller to start, the controller utilizes fuzzy PID algorithm, continue to monitor the DFIG voltages being newly incorporated to and frequency stabilization situation, by fuzzy reasoning, the PID controller parameter of DFIGs of the STATCOM with being equipped with energy-storage system is continued to optimize, coordinates control wind turbine and the active reactive output of STATCOM.The present invention allows a double-fed asynchronous wind-powered electricity generation group of planes to realize self-starting under the conditions of off-network, and then realizes stable islet operation.

Description

An a kind of wind-powered electricity generation group of planes based on STATCOM/BESS coordinates booting-self controller method
Technical field
The present invention relates to a wind-powered electricity generation group of planes to run control field, more particularly to a kind of wind turbine based on STATCOM/BESS Group coordinates booting-self controller method.
Background technology
In recent years, since wind-powered electricity generation has the features such as intermittent, randomness and fluctuation, large-scale wind power is grid-connected still to be deposited In no small challenge.Distributed wind-power generator can recover island with power when grid power blackout occurs, it has also become centrally connected power supply side The indispensable important supplement of formula.In order to preferably realize wind-powered electricity generation group of planes distributed power generation it may first have to study a wind-powered electricity generation group of planes and exist Possesses the ability of self-starting under islet operation.
Nowadays, double-fed asynchronous Wind turbines (Doubly-Fed Induction Generator, DFIG) become wind-powered electricity generation The mainstream model that field is selected, since the wind turbine is by the way of rotor flexible connection, does not possess self-startup ability.DFIG's Current transformer DC capacitor side installs energy storage device additional, provides DC voltage by energy storage device, and then realize the self-starting of Wind turbines Process.In the start-up course of a wind-powered electricity generation group of planes, the extensive energy-storage system cost investment that is equipped with is larger, can not meet the warp of power grid Ji property requires, this just needs a small number of Wind turbines for being equipped with energy-storage system to take the lead in realizing self-starting, and then in the association of FACTS equipment Help the remaining Wind turbines of lower startup.
Traditional STATCOM is made of DC bus capacitor and voltage source inverter, to ensure the amplitude of output voltage, during stable state Need to absorb certain active power compensation own loss from power grid to maintain direct current to survey voltage, so not possessing active adjusting energy Power, it is impossible to inject active power to power grid.
The content of the invention
Goal of the invention:The object of the present invention is to provide a kind of wind turbine based on STATCOM/BESS that can realize self-starting Group coordinates booting-self controller method.
Technical solution:A wind-powered electricity generation group of planes of the present invention based on STATCOM/BESS coordinates booting-self controller method, bag Include following steps:
S1:When DFIG self-startings under the conditions of off-network start, model feature during for DFIG self-startings, designs base In the booting-self controller device of feedback linearization control algolithm;
S2:After booting-self controller device detects the voltage and frequency stabilization of wind turbine islet operation, STATCOM/BESS is incorporated to;
S3:After DFIG and the STATCOM startup of energy-storage system, the DFIG for being not equipped with energy-storage system is incorporated to, Coordinate fuzzy controller to start, fuzzy controller utilizes fuzzy PID algorithm, continue to monitor newly be incorporated to be not equipped with storing up The DFIG voltages and frequency stabilization situation of energy system, by fuzzy reasoning, continue to optimize STATCOM and equipped with energy-storage system DFIG PID controller parameter, coordinate control equipped with energy-storage system DFIG and STATCOM active reactive export.
Further, the self-starting process in the step S1 is divided into self-exciting starting, run with load and frequency three ranks of adjustment Section, the control strategy that the self-exciting starting stage uses rotor-side converter and net side current transformer for:By the control of net side current transformer Signal block, while the grid-connected switch brk_grid of net side current transformer is disconnected, the switch brk_bat of energy-storage system is closed, Energy-storage system is charged for DC level, detect DC capacitor voltage, if DC capacitor voltage reaches capacitance voltage rated value, Start DFIG.
Further, the self-starting process in the step S1 is divided into self-exciting starting, run with load and frequency three ranks of adjustment Section, the control strategy that the run with load stage uses rotor-side converter and net side current transformer for:Set end voltage is detected, if generator terminal Voltage is more than set end voltage rated value, then closes the grid-connected switch brk_grid of net side current transformer, while unlocks net side current transformer SVPWM control signals, net side current transformer starts to work, and ensures that DC capacitor voltage is stable and provides nothing for voltage on line side Work(supports;DC capacitor voltage deviation is detected, if DC capacitor voltage deviation is less than εdc_max, then assert that DC voltage is permanent It is fixed, and switch brk_bat is disconnected, energy-storage system exits work.
Further, the self-starting process in the step S1 is divided into self-exciting starting, run with load and frequency three ranks of adjustment Section, frequency adjusting stage are adjusted by active output of the frequency controller to wind turbine, and the structure of frequency controller is:Frequency Controller includes rotational speed governor and additional frequency controller, and wherein rotational speed governor is by rotor speed ωrInput to ωr- P is bent Active power reference value is produced in lineωr- P curves function is determined by the power rotary speed property of Wind turbines;Additional frequency control Shown in the design of device processed such as formula (1):
In formula (1), fs、frefThe respectively output frequency of Wind turbines and output frequency reference value, kfp1And kfp2To be attached Add the proportionality coefficient of frequency controller, kfi1And kfi2For the integral coefficient of additional frequency controller;
Finally, the active power reference value that wind turbine self-starting frequency controller provides rotor-side converter is P*
In formula (2),For the active power reference value given by rotational speed governor.
Further, the design procedure of the feedback linearization control algolithm in the step S1 is as follows:
S1.1:The linearisation difference model of the rotor-side converter of DFIG is established, as shown in formula (3):
In formula (3),For rotor d shaft currents,For rotor q shaft currents, LmIt is coaxial etc. for stator and rotor in dq axis coordinate systems Imitate the mutual inductance between winding, Rr、LrFor two phase winding resistance of rotor equivalent and self-induction in dq axis coordinate systems,For generator Magnetic leakage factor, ωslip1rFor revolutional slip, ω1For stator field rotating speed, ωrFor rotor field rotating speed, ψsqFor stator d Axis magnetic linkage, ψsdFor stator q axis magnetic linkages, urdFor rotor d shaft voltages, urqFor rotor q shaft voltages, urd1And urq1Encouraged for meter and stator The compensation term of magnetoelectricity stream, as shown in formula (4):
In formula (4), RsFor equivalent two phase winding resistance of stator in dq axis coordinate systems, isdFor stator d shaft currents, isqFor stator Q shaft currents, UsFor fan outlet side voltage magnitude;
Make y1=h1(x)=x1=irdAnd y2=h2(x)=x2=irq, can obtain:
In formula (5), Ar(x)=f (x), Er(x)=g (x);
S1.2:Rotor voltage controller is designed according to formula (5), as shown in formula (6):
In formula (6), vrdAnd vrqFor the tracking control signal of rotor voltage, provided by rotor current controller, such as formula (7) It is shown:
In formula (7), e1=y1-y1refFor rotor current y1With rotor current reference value y1refDifference, e2=y2-y2refTo turn Electron current y2With rotor current reference value y2refDifference, krd_p、krd_iFor rotor current controller d axis scales, integral parameter, krq_p、krq_iFor rotor current controller d axis scales, integral parameter;
S1.3:The reference voltage of rotor-side converter is tried to achieve according to formula (8)With
Further, in the step S3, coordinate fuzzy controller and continue to monitor voltage deviation amount and frequency departure amount, By fuzzy reasoning, the current transformer pid parameter k of STATCOM and DFIG is continued to optimizep、ki、kdThe step of as follows, wherein kpFor than Example coefficient, kiFor differential coefficient, kdFor integral coefficient:
S3.1:When the absolute value of voltage deviation amount | εu| more than voltage coordination thresholding εucoOr frequency departure amount Absolute value | εf| more than frequency coordination action thresholding εfcoWhen, STATCOM and DFIG is acted at the same time, using voltage, FREQUENCY CONTROL Pattern;Increase kp, reduce kd, reduce ki
S3.2:When the absolute value of voltage deviation amount | εu| between voltage coordination thresholding εucoDoor is acted with voltage DFIG Limit εuDFIGBetween, or the absolute value of frequency departure amount | εf| between frequency coordination action thresholding εfcoDoor is acted with frequency DFIG Limit εfDFIGBetween when, reduce kp, increase ki;STATCOM is using voltage, FREQUENCY CONTROL pattern;
S3.3:When the absolute value of voltage deviation amount | εu| less than voltage DFIG action thresholdings εuDFIGOr frequency departure amount Absolute value | εf| less than frequency DFIG action thresholdings εfDFIGWhen, DFIG uses power control strategy, ensures the power stability of system Output and power factor (PF), fuzzy controller are failure to actuate;Increase kpAnd ki, and according to the absolute value of voltage deviation amount | εu| or The absolute value of frequency departure amount | εf| come to kdCarry out value;
S3.4:According to the different conditions of system operation, while consider kp、ki、kdBetween association, select input language become Measure as εu、εf、ΔεuWith Δ εf, linguistic variable value takes seven fuzzy values of NB, NM, NS, Z, PS, PM, PB;Output language is selected to become Measure as Δ kp、Δki、Δkd, its linguistic variable value also takes NB, NM, NS, Z, PS, PM, PB, according to the fuzzy rule of engineering experience design Then, the fuzzy reasoning table finally set up;
S3.5:The fuzzy parameter adjustment formula of STATCOM is:
In formula (9), kp(n) it is the proportionality coefficient of n-th sampling instant, ki(n) it is the differential coefficient of n-th sampling instant, kd(n) it is the integral coefficient of n-th sampling instant, Δ kp(n) it is proportionality coefficient of the n-th sampling instant after fuzzy reasoning, Δki(n) it is differential coefficient of the n-th sampling instant after fuzzy reasoning, Δ kd(n) pass through for n-th sampling instant fuzzy Integral coefficient after reasoning;
kp(n)、ki(n) and kd(n) with the absolute value of voltage deviation amount | εu| and the absolute value of frequency departure amount | εf| become Change, i.e.,:
In formula (10), μ=k, i, p.
Beneficial effect:Compared with prior art, the present invention has following beneficial effect:
(1) by the booting-self controller strategy based on feedback linearization controller, controlled compared to traditional PI, can be more Start Wind turbines fast and stable and realize islet operation;
(2) control strategy is started by the coordination based on fuzzy controller, rushing for system is being incorporated in face of new wind turbine When hitting, it can accomplish quick response, while the power output of effective coordination DFIG and STATCOM, finally realize a wind-powered electricity generation group of planes Self-starting and stable operation.
Brief description of the drawings
Fig. 1 is flow chart of the method for the present invention;
Fig. 2 is the feedback linearization controller block diagram of the present invention;
Fig. 3 is double-fed asynchronous Wind turbines and STATCOM/BESS system global structure figures;
Fig. 4 is double-fed asynchronous Wind turbines rotor-side converter booting-self controller strategy block diagram;
Fig. 5 is double-fed asynchronous Wind turbines net side current transformer booting-self controller strategy block diagram;
Fig. 6 is double-fed asynchronous Wind turbines frequency controller control block diagram;
Fig. 7 is STATCOM/BESS current transformer control strategy block diagrams;
Fig. 8 starts fuzzy-adaptation PID control block diagram for coordination.
Embodiment
Technical scheme is further introduced with reference to the accompanying drawings and detailed description.
The invention discloses an a kind of wind-powered electricity generation group of planes based on STATCOM/BESS to coordinate booting-self controller method, such as Fig. 1 institutes Show, comprise the following steps:
S1:When DFIG self-startings under the conditions of off-network start, model feature during for DFIG self-startings, designs base In the booting-self controller device of feedback linearization control strategy, as shown in Figure 2;
Self-starting process is divided into self-exciting starting, run with load and frequency adjustment three phases, and the self-exciting starting stage is to rotor The control strategy that side converter and net side current transformer use for:By the control signal locking of net side current transformer, while net side is become The grid-connected switch brk_grid for flowing device is disconnected, and the switch brk_bat of energy-storage system is closed, energy-storage system is filled for DC level Electricity, detects DC capacitor voltage, if DC capacitor voltage reaches capacitance voltage rated value, starts DFIG.Such as Fig. 4 and Fig. 5 institutes Show, the control strategy that the run with load stage uses rotor-side converter and net side current transformer for:Set end voltage is detected, if generator terminal Voltage is more than set end voltage rated value, then closes the grid-connected switch brk_grid of net side current transformer, while unlocks net side current transformer SVPWM control signals, net side current transformer starts to work, and ensures that DC capacitor voltage is stable and provides nothing for voltage on line side Work(supports;DC capacitor voltage deviation is detected, if DC capacitor voltage deviation is less than εdc_max, then assert that DC voltage is permanent It is fixed, and switch brk_bat is disconnected, energy-storage system exits work.The frequency adjusting stage is by frequency controller to the active of wind turbine Output is adjusted, as shown in fig. 6, the structure of frequency controller is:Frequency controller includes rotational speed governor and additional frequency Controller, wherein rotational speed governor are by rotor speed ωrInput to ωrActive power reference value is produced in-P curvesωr- P is bent Line function is determined by the power rotary speed property of Wind turbines;Shown in the design of additional frequency controller such as formula (1):
In formula (1), fs、frefThe respectively output frequency of Wind turbines and output frequency reference value, kfp1And kfp2To be attached Add the proportionality coefficient of frequency controller, kfi1And kfi2For the integral coefficient of additional frequency controller;
Finally, the active power reference value that wind turbine self-starting frequency controller provides rotor-side converter is P*
In formula (2),For the active power reference value given by rotational speed governor.
The design procedure of feedback linearization controller in step S1 is as follows:
S1.1:The linearisation difference model of the rotor-side converter of DFIG is established, as shown in formula (3):
In formula (3),For rotor d shaft currents,For rotor q shaft currents, LmIt is coaxial etc. for stator and rotor in dq axis coordinate systems Imitate the mutual inductance between winding, Rr、LrFor two phase winding resistance of rotor equivalent and self-induction in dq axis coordinate systems,For generator Magnetic leakage factor, ωslip1rFor revolutional slip, ω1For stator field rotating speed, ωrFor rotor field rotating speed, ψsqFor stator d Axis magnetic linkage, ψsdFor stator q axis magnetic linkages, urdFor rotor d shaft voltages, urqFor rotor q shaft voltages, urd1And urq1Encouraged for meter and stator The compensation term of magnetoelectricity stream, as shown in formula (4):
In formula (4), RsFor equivalent two phase winding resistance of stator in dq axis coordinate systems, isdFor stator d shaft currents, isqFor stator Q shaft currents, UsFor fan outlet side voltage magnitude;
Make y1=h1(x)=x1=irdAnd y2=h2(x)=x2=irq, can obtain:
In formula (5), Ar(x)=f (x), Er(x)=g (x);
S1.2:Rotor voltage controller is designed according to formula (5), as shown in formula (6):
In formula (6), vrdAnd vrqFor the tracking control signal of rotor voltage, provided by rotor current controller, such as formula (7) It is shown:
In formula (7), e1=y1-y1refFor rotor current y1With rotor current reference value y1refDifference, e2=y2-y2refTo turn Electron current y2With rotor current reference value y2refDifference, krd_p、krd_iFor rotor current controller d axis scales, integral parameter, krq_p、krq_iFor rotor current controller d axis scales, integral parameter;
S1.3:The reference voltage of rotor-side converter is tried to achieve according to formula (8)With
S2:After booting-self controller device detects the voltage and frequency stabilization of wind turbine islet operation, STATCOM/BESS is incorporated to;
S3:After DFIG and the STATCOM startup of energy-storage system, the DFIG for being not equipped with energy-storage system is incorporated to, Coordinate fuzzy controller to start, fuzzy controller utilizes fuzzy PID algorithm, continue to monitor newly be incorporated to be not equipped with storing up The DFIG voltages and frequency stabilization situation of energy system, by fuzzy reasoning, continue to optimize STATCOM and equipped with energy-storage system DFIG PID controller parameter, coordinate control equipped with energy-storage system DFIG and STATCOM active reactive export. STATCOM/BESS current transformers control strategy is as shown in fig. 7, coordination startup fuzzy-adaptation PID control block diagram is as shown in Figure 8.Coordinate control Device continues to monitor voltage deviation amount and frequency departure amount, by fuzzy reasoning, continues to optimize the current transformer of STATCOM and DFIG Pid parameter kp、ki、kdThe step of as follows, wherein kpFor proportionality coefficient, kiFor differential coefficient, kdFor integral coefficient:
S3.1:When the absolute value of voltage deviation amount | εu| more than voltage coordination thresholding εucoOr frequency departure amount Absolute value | εf| more than frequency coordination action thresholding εfcoWhen, STATCOM and DFIG is acted at the same time, using voltage, FREQUENCY CONTROL Pattern;Increase kp, reduce kd, reduce ki
S3.2:When the absolute value of voltage deviation amount | εu| between voltage coordination thresholding εucoDoor is acted with voltage DFIG Limit εuDFIGBetween, or the absolute value of frequency departure amount | εf| between frequency coordination action thresholding εfcoDoor is acted with frequency DFIG Limit εfDFIGBetween when, reduce kp, increase ki;STATCOM is using voltage, FREQUENCY CONTROL pattern;
S3.3:When the absolute value of voltage deviation amount | εu| less than voltage DFIG action thresholdings εuDFIGOr frequency departure amount Absolute value | εf| less than frequency DFIG action thresholdings εfDFIGWhen, DFIG uses power control strategy, ensures the power stability of system Output and power factor (PF), fuzzy controller are failure to actuate;Increase kpAnd ki, and according to the absolute value of voltage deviation amount | εu| or The absolute value of frequency departure amount | εf| come to kdCarry out value;
S3.4:According to the different conditions of system operation, while consider kp、ki、kdBetween association, select input language become Measure as εu、εf、ΔεuWith Δ εf, linguistic variable value takes seven fuzzy values of NB, NM, NS, Z, PS, PM, PB;Output language is selected to become Measure as Δ kp、Δki、Δkd, its linguistic variable value also takes NB, NM, NS, Z, PS, PM, PB, according to the fuzzy rule of engineering experience design Then, the fuzzy reasoning table finally set up, as shown in table 1;
1 Δ k of tablep、Δki、ΔkdFuzzy control rule table
S3.5:The fuzzy parameter adjustment formula of STATCOM is:
In formula (9), kp(n) it is the proportionality coefficient of n-th sampling instant, ki(n) it is the differential coefficient of n-th sampling instant, kd(n) it is the integral coefficient of n-th sampling instant, Δ kp(n) it is proportionality coefficient of the n-th sampling instant after fuzzy reasoning, Δki(n) it is differential coefficient of the n-th sampling instant after fuzzy reasoning, Δ kd(n) pass through for n-th sampling instant fuzzy Integral coefficient after reasoning;
kp(n)、ki(n) and kd(n) with the absolute value of voltage deviation amount | εu| and the absolute value of frequency departure amount | εf| become Change, i.e.,:
In formula (10), μ=k, i, p.
A kind of embodiment of the present invention is described below.As shown in figure 3, the double-fed asynchronous wind equipped with energy-storage system Motor group (DFIG) realizes self-starting and load carrying in the case where net side does not have voltage support, then switchs T1 closures, STATCOM/BESS is incorporated to, participates in the power quality of regulating system, after system tends towards stability operation, switch T2 closures, and Enter new DFIG.Wherein, the outlet side rated voltage of DFIG is 575V, and the rated capacity of separate unit wind turbine is 1.5MVA, specified frequency Rate is 50Hz.Wind-powered electricity generation group of planes total capacity equipped with energy-storage system is 4.5MVA, and the capacity of STATCOM is 3MVA.System band sense Property load rated power be 0.6MW, generator terminal offer reactive power support capacitance rated reactive power be 1Mvar.Double-fed asynchronous wind Motor group rotor resistance is Rr=0.016pu, rotor reactance Lr=0.16pu;Stator resistance is Rs=0.023pu, stator reactance For Ls=0.18pu;Excitation reactance is Lm=2.9pu;Inertia coeffeicent is H=0.09526;Net side current transformer into line resistance be Rg= 0.003pu, inlet wire reactance are Lg=0.00091pu.The inlet wire reactance of STATCOM is Ls=0.00008H.In self-starting process In, it is believed that wind speed is constant and wind speed is v=12m/s.The present embodiment by three steps realize a double-fed asynchronous wind-powered electricity generation group of planes with The coordination self-starting of STATCOM/BESS.
(1) when the double-fed asynchronous Wind turbines self-starting under the conditions of off-network starts, controller disconnects net side load, to DC capacitor both ends are incorporated to energy-storage system, charge to it and keep the stabilization of self-starting capacitance voltage early period;At the same time controller to Rotor-side converter and stator side converter send inversion instruction, using voltage control strategy, ensure fan outlet side voltage Constant and DC capacitor voltage is constant.Set voltage reference value U*=1.0pu, frequency reference fref=50Hz, direct current Flat departure maximum εdc_max=1%, after voltage on line side reaches the control range of rated voltage, access system load, together When initiation culture controller, further Wind turbines self-starting frequency is controlled, ensure system frequency stabilization in specified frequency Within rate.
(2) after controller detects system frequency voltage stabilization, STATCOM/BESS is incorporated to, BESS is voltage-controlled using direct current Molding formula, charges to the DC level of STATCOM and keeps its voltage stabilization.STATCOM uses voltage, FREQUENCY CONTROL pattern, Set voltage reference value Vref=1.0pu, frequency reference fref=50Hz, is further ensured that the power quality of system.
(3) after starting equipped with the DFIG and STATCOM of energy-storage system, system coordination controller starts, at this time simultaneously Enter to be not equipped with the DFIG of energy-storage system, controller continues to monitor the voltage and frequency stabilization situation of system, using fuzzy Controller, the active reactive for coordinating control wind turbine and STATCOM for the different characteristics of wind turbine and STATCOM export, final real Stablizing for an existing wind-powered electricity generation group of planes starts and runs.
Among these, for voltage, the departure of frequency, the corresponding voltage deviation amount of fuzzy language is set as [NB NM NS Z PS PM PB]=[0.4 0.2 0.1 0 0.1 0.2 0.4], therefore set the coordination thresholding ε of voltageuco= 0.2, the DFIG action thresholdings of voltage are εuDFIG=0.1.The corresponding frequency departure amount of fuzzy language is set as [NB NM NS Z PS PM PB]=[5 21012 5], therefore the coordination thresholding ε of setpoint frequencyfco=2, the DFIG action doors of frequency It is limited to εfDFIG=1.
After new Wind turbines are incorporated to system, by DFIG the and STACOM/BESS coordinated control systems that have been started up Active and reactive requirement.But the control capability of DFIG is big, control action is slower, and STATCOM control capabilities are small, response speed It hurry up, therefore control started using the coordination of fuzzy, the different operating modes started for wind turbine provide fast reaction, and continue to supervise Examining system voltage and frequency.After system tends towards stability, a wind-powered electricity generation group of planes will continue to be incorporated to new Wind turbines, until all wind Motor group enters operating status, and a wind-powered electricity generation group of planes is coordinated self-starting and terminated.

Claims (5)

1. an a kind of wind-powered electricity generation group of planes based on STATCOM/BESS coordinates booting-self controller method, it is characterised in that:Including following step Suddenly:
S1:When DFIG self-startings under the conditions of off-network start, model feature during for DFIG self-startings, design is based on anti- Present the booting-self controller device of linear control method;The design procedure of feedback linearization control algolithm in the step S1 is as follows:
S1.1:The linearisation difference model of the rotor-side converter of DFIG is established, as shown in formula (3):
In formula (3),For rotor d shaft currents,For rotor q shaft currents, LmFor stator and rotor coaxial dummy in dq axis coordinate systems around Mutual inductance between group, LsFor the self-induction of the equivalent two-phase stator winding of dq coordinate systems, Rr、LrFor rotor equivalent two-phase in dq axis coordinate systems Winding resistance and self-induction,For generator magnetic leakage factor, ωslip1rFor revolutional slip, ω1Turn for stator field Speed, ωrFor rotor field rotating speed, ψsqFor stator q axis magnetic linkages, ψsdFor stator d axis magnetic linkages, urdFor rotor d shaft voltages, urqTo turn Sub- q shaft voltages, urd1And urq1For meter and Stator energization current compensation term, as shown in formula (4):
In formula (4), RsFor equivalent two phase winding resistance of stator in dq axis coordinate systems, isdFor stator d shaft currents, isqFor stator q axis Electric current, UsFor fan outlet side voltage magnitude;
Make y1=h1(x)=x1=irdAnd y2=h2(x)=x2=irq, can obtain:
In formula (5), Ar(x)=f (x), Er(x)=g (x);
S1.2:Rotor voltage controller is designed according to formula (5), as shown in formula (6):
In formula (6), vrdAnd vrqFor the tracking control signal of rotor voltage, provided by rotor current controller, as shown in formula (7):
In formula (7), e1=y1-y1refFor rotor current y1With rotor current reference value y1refDifference, e2=y2-y2refFor rotor electricity Flow y2With rotor current reference value y2refDifference, krd_p、krd_iFor rotor current controller d axis scales, integral parameter, krq_p、 krq_iFor rotor current controller q axis scales, integral parameter;
S1.3:The reference voltage of rotor-side converter is tried to achieve according to formula (8)With
S2:After booting-self controller device detects the voltage and frequency stabilization of wind turbine islet operation, STATCOM/BESS is incorporated to;
S3:After DFIG and the STATCOM startup of energy-storage system, the DFIG for being not equipped with energy-storage system is incorporated to, is coordinated Fuzzy controller starts, and fuzzy controller utilizes fuzzy PID algorithm, continue to monitor newly be incorporated to be not equipped with energy storage system The DFIG voltages and frequency stabilization situation of system, by fuzzy reasoning, continue to optimize STATCOM and equipped with energy-storage system The PID controller parameter of DFIG, the active reactive for coordinating control equipped with the DFIG and STATCOM of energy-storage system export.
2. the wind-powered electricity generation group of planes according to claim 1 based on STATCOM/BESS coordinates booting-self controller method, its feature It is:Self-starting process in the step S1 is divided into self-exciting starting, run with load and frequency adjustment three phases, self-exciting starting The control strategy that stage uses rotor-side converter and net side current transformer for:By the control signal locking of net side current transformer, together When the grid-connected switch brk_grid of net side current transformer is disconnected, the switch brk_bat of energy-storage system is closed, makes the energy-storage system be DC capacitor charges, and detects DC capacitor voltage, if DC capacitor voltage reaches capacitance voltage rated value, starts DFIG.
3. the wind-powered electricity generation group of planes according to claim 1 based on STATCOM/BESS coordinates booting-self controller method, its feature It is:Self-starting process in the step S1 is divided into self-exciting starting, run with load and frequency adjustment three phases, run with load The control strategy that stage uses rotor-side converter and net side current transformer for:Set end voltage is detected, if set end voltage is more than machine Terminal voltage rated value, then close the grid-connected switch brk_grid of net side current transformer, while unlocks the SVPWM controls of net side current transformer Signal, net side current transformer are started to work, and ensure that DC capacitor voltage is stable and provides reactive power support for voltage on line side;Detection DC capacitor voltage deviation, if DC capacitor voltage deviation is less than εdc_max, then assert that DC voltage is constant, and open Brk_bat is closed, energy-storage system exits work.
4. the wind-powered electricity generation group of planes according to claim 1 based on STATCOM/BESS coordinates booting-self controller method, its feature It is:Self-starting process in the step S1 is divided into self-exciting starting, run with load and frequency adjustment three phases, frequency adjustment Stage is adjusted by active output of the frequency controller to wind turbine, and the structure of frequency controller is:Frequency controller includes Rotational speed governor and additional frequency controller, wherein rotational speed governor are by rotor speed ωrInput to ωrHave in-P curves Work(value and power referenceωr- P curves function is determined by the power rotary speed property of Wind turbines;The design of additional frequency controller As shown in formula (1):
In formula (1), fs、frefThe respectively output frequency of Wind turbines and output frequency reference value, kfp1And kfp2For additional frequency The proportionality coefficient of rate controller, kfi1And kfi2For the integral coefficient of additional frequency controller;
Finally, the active power reference value that wind turbine self-starting frequency controller provides rotor-side converter is P*
In formula (2),For the active power reference value given by rotational speed governor.
5. the wind-powered electricity generation group of planes according to claim 1 based on STATCOM/BESS coordinates booting-self controller method, its feature It is:In the step S3, coordinate fuzzy controller and continue to monitor voltage deviation amount and frequency departure amount, pushed away by fuzzy Reason, continues to optimize the current transformer pid parameter k of STATCOM and DFIGp、ki、kdThe step of as follows, wherein kpFor proportionality coefficient, kiFor Integral coefficient, kdFor differential coefficient:
S3.1:When the absolute value of voltage deviation amount | εu| more than voltage coordination thresholding εucoOr the absolute value of frequency departure amount |εf| more than frequency coordination action thresholding εfcoWhen, STATCOM and DFIG is acted at the same time, using voltage, FREQUENCY CONTROL pattern; Increase kp, reduce kd, reduce ki
S3.2:When the absolute value of voltage deviation amount | εu| between voltage coordination thresholding εucoWith the voltage operation thresholding of DFIG εuDFIGBetween, or the absolute value of frequency departure amount | εf| between frequency coordination action thresholding εfcoDoor is acted with the frequency of DFIG Limit εfDFIGBetween when, reduce kp, increase ki;STATCOM is using voltage, FREQUENCY CONTROL pattern;
S3.3:When the absolute value of voltage deviation amount | εu| the voltage operation thresholding ε less than DFIGuDFIGOr frequency departure amount is exhausted To value | εf| the frequency action thresholding ε less than DFIGfDFIGWhen, DFIG uses power control strategy, ensures the power stability of system Output and power factor, fuzzy controller are failure to actuate;Increase kpAnd ki, and according to the absolute value of voltage deviation amount | εu| or The absolute value of frequency departure amount | εf| come to kdCarry out value;
S3.4:According to the different conditions of system operation, while consider kp、ki、kdBetween association, select input language variable for εu、εf、ΔεuWith Δ εf, linguistic variable value takes seven fuzzy values of NB, NM, NS, Z, PS, PM, PB;Select output language variable for Δkp、Δki、Δkd, its linguistic variable value also takes NB, NM, NS, Z, PS, PM, PB, designs fuzzy rule according to engineering experience, most The fuzzy reasoning table set up eventually;
S3.5:The fuzzy parameter adjustment formula of STATCOM is:
In formula (9), kp(n) it is the proportionality coefficient of n-th sampling instant, kp(n-1) it is the proportionality coefficient of (n-1)th sampling instant, ki(n) it is the integral coefficient of n-th sampling instant, ki(n-1) it is the integral coefficient of (n-1)th sampling instant, kd(n) it is n-th The differential coefficient of sampling instant, kd(n-1) it is the differential coefficient of (n-1)th sampling instant, Δ kp(n) passed through for n-th sampling instant Cross the proportionality coefficient after fuzzy reasoning, Δ ki(n) it is integral coefficient of the n-th sampling instant after fuzzy reasoning, Δ kd(n) For differential coefficient of the n-th sampling instant after fuzzy reasoning;
kp(n)、ki(n) and kd(n) with the absolute value of voltage deviation amount | εu| and the absolute value of frequency departure amount | εf| change, I.e.:
In formula (10), μ=d, i, p.
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CN107515532B (en) * 2017-07-06 2020-10-09 江苏方天电力技术有限公司 System self-adaptive control method considering action threshold
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104810863A (en) * 2015-05-11 2015-07-29 东南大学 Generator set active power real-time dispatching method considering wind power prediction error
CN104836334A (en) * 2014-02-08 2015-08-12 中国农业大学 Low voltage microgrid group independent coordination control system
CN104836248A (en) * 2015-05-20 2015-08-12 沈阳工业大学 Hybrid energy storage system suitable for wind turbine generator set, and control method
CN105140938A (en) * 2015-08-05 2015-12-09 东南大学 Energy-storage system-based self-starting control method for double-fed induction generator

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104836334A (en) * 2014-02-08 2015-08-12 中国农业大学 Low voltage microgrid group independent coordination control system
CN104810863A (en) * 2015-05-11 2015-07-29 东南大学 Generator set active power real-time dispatching method considering wind power prediction error
CN104836248A (en) * 2015-05-20 2015-08-12 沈阳工业大学 Hybrid energy storage system suitable for wind turbine generator set, and control method
CN105140938A (en) * 2015-08-05 2015-12-09 东南大学 Energy-storage system-based self-starting control method for double-fed induction generator

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