CN109449999A - Low pressure micro-capacitance sensor distributed control method and system based on adaptive virtual impedance - Google Patents
Low pressure micro-capacitance sensor distributed control method and system based on adaptive virtual impedance Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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Abstract
Present disclose provides a kind of low pressure micro-capacitance sensor distributed control methods and system based on adaptive virtual impedance.Wherein, this method comprises: the product of ratio and virtual impedance coefficient using the active power and voltage magnitude of local inverter output, generates adaptive virtual resistance；Virtual negative inductance is determined according to the induction reactance part in the equivalent output impedance of local inverter, makes the equivalent output impedance of local inverter in resistance characteristic；It is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance；According to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, dq axis virtual voltage is generated；The voltage reference value obtained in the sagging control of resistor-type is compensated using dq axis virtual voltage, obtains final reference voltage.
Description
Technical field
The disclosure belongs to micro-capacitance sensor control field more particularly to a kind of low pressure micro-capacitance sensor based on adaptive virtual impedance point
Cloth control method and system.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
Micro-capacitance sensor is a kind of by distributed generation resource, energy-storage system, the combined miniature electric power networks of load, Ke Yiyun
Row is in isolated island, grid-connected two kinds of operating modes.Micro-source inverter generally uses V/f control, PQ control and sagging control in micro-capacitance sensor,
Wherein sagging control model reference simulates the primary frequency modulation technology of synchronous generator in traditional power grid, adaptive according to sagging relationship
The output that power should be adjusted has the function of ' plug and play ' without communicating the power distribution that can realize each micro- source automatically.It is low
The line characteristic of micro-capacitance sensor is pressed to be different from the emotional resistance of bulk power grid, route is in resistance characteristic, therefore under traditional P/f, Q/U
Vertical control mode is not fully suitable for low pressure micro-capacitance sensor.There is document to offset route by the way of virtual negative resistance at present
Resistance, but line parameter circuit value is unknown when actual motion and is difficult to measure.In addition, the randomness in each distributed generation resource geographical location, makes
Line impedance and unequal, cannot be completely in accordance with the proportional output power of rated capacity, this meeting using micro- source of sagging control
Lead to the micro- source overload in part, energy-storage battery over-discharge problem, or even the stable operation of system is had an impact.
In order to reduce the deviation of output power, inventor's discovery obtains inverter power and bus currently with means of communication
Voltage data compensates control, and which increase the construction costs of micro-capacitance sensor, and the problems such as have communication delay, reduce
The reliability of whole system.
Summary of the invention
According to the one aspect of one or more other embodiments of the present disclosure, provide a kind of based on the low of adaptive virtual impedance
Micro-capacitance sensor distributed control method is pressed, it is self-adaptive controlled to be based only upon local information amount for introducing in low pressure micro-capacitance sensor distributed AC servo system
System, each inverter control unit reduce active power and distribute uneven problem without being in communication with each other.
A kind of low pressure micro-capacitance sensor distributed control method based on adaptive virtual impedance of the disclosure, comprising:
Using the product of the active power of local inverter output and the ratio of voltage magnitude and virtual impedance coefficient, generate
Adaptive virtual resistance；
Virtual negative inductance is determined according to the induction reactance part in the equivalent output impedance of local inverter, makes local inverter
Equivalent output impedance is in resistance characteristic；
It is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance；
According to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, it is virtual to generate dq axis
Voltage；
The voltage reference value obtained in the sagging control of resistor-type is compensated using dq axis virtual voltage, obtains final benchmark
Voltage.
In one or more embodiments, according to the transmission function of local inverter, the equivalent defeated of local inverter is obtained
Impedance out.
In one or more embodiments, the value range of virtual impedance coefficient is 0.05~0.3.
In one or more embodiments, the control method, further includes:
Finally obtained reference voltage is input in PWM controller to control modulated signal, to obtain this
The control signal of ground inverter.
According to the other side of one or more other embodiments of the present disclosure, provide a kind of based on adaptive virtual impedance
Low pressure micro-capacitance sensor dcs, it is adaptive to be based only upon local information amount for introducing in low pressure micro-capacitance sensor distributed AC servo system
Control, each inverter control unit reduce active power and distribute uneven problem without being in communication with each other.
A kind of low pressure micro-capacitance sensor dcs based on adaptive virtual impedance of the disclosure, comprising:
Voltage and current sampling apparatus is used to acquire the voltage and current signals of local inverter output and is sent to benchmark
Voltage correction processor；
Reference voltage Correction Processor, is configured as:
The voltage and current signals exported using local inverter obtain the active power and voltage of local inverter output
Amplitude；
Using the product of the active power of local inverter output and the ratio of voltage magnitude and virtual impedance coefficient, generate
Adaptive virtual resistance；
Virtual negative inductance is determined according to the induction reactance part in the equivalent output impedance of local inverter, makes local inverter
Equivalent output impedance is in resistance characteristic；
It is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance；
According to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, it is virtual to generate dq axis
Voltage；
The voltage reference value obtained in the sagging control of resistor-type is compensated using dq axis virtual voltage, obtains final benchmark
Voltage.
In one or more embodiments, in the reference voltage Correction Processor, according to the transmitting of local inverter
Function obtains the equivalent output impedance of local inverter.
In one or more embodiments, in the reference voltage Correction Processor, the value model of virtual impedance coefficient
Enclose is 0.05~0.3.
In one or more embodiments, the control system, further includes:
PWM controller, the reference voltage after being used to receive correction, then modulated signal is controlled, to obtain this
The control signal of ground inverter.
The beneficial effect of the disclosure is:
(1) disclosure based on adaptive virtual impedance without communication low pressure micro-capacitance sensor distributed control method use resistance
Type droop control method is more suitable for the characteristics of low pressure micro-capacitance sensor resistive route.
(2) disclosure is obtained merely with local information amount, i.e., the active power and voltage magnitude information of local inverter output
To adaptive virtual impedance, the influence of reduction line impedance that can be adaptive in the case where being not necessarily to communication mechanism is reduced inverse
Become the deviation of device output power.
(3) disclosure reduces the induction reactance of inverter equivalent output impedance using virtual negative inductance, reduces active power and nothing
The coupling of function power improves operation stability.
Detailed description of the invention
The Figure of description for constituting a part of this disclosure is used to provide further understanding of the disclosure, and the disclosure is shown
Meaning property embodiment and its explanation do not constitute the improper restriction to the disclosure for explaining the disclosure.
Fig. 1 is microgrid inverter control structure；
Fig. 2 is micro-capacitance sensor equivalent structure figure；
Fig. 3 is two micro- source active power of output whens line impedance does not wait；
Fig. 4 is inverter transmission function block diagram；
Fig. 5 is that adaptive virtual impedance compensates control structure figure；
Fig. 6 (a) is emulation experiment active power waveform diagram；
Fig. 6 (b) is emulation experiment reactive power waveform diagram；
Fig. 6 (c) is that emulation experiment introduces virtual impedance phase current waveform figure；
Fig. 6 (d) is the adaptive virtual resistance waveform diagram of emulation experiment；
Fig. 7 is a kind of real without communication low pressure micro-capacitance sensor distributed control method based on adaptive virtual impedance of the disclosure
Apply a flow chart.
Specific embodiment
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the disclosure.Unless another
It indicates, all technical and scientific terms used herein has usual with disclosure person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the disclosure.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
Term is explained:
DG:Distributed Generation, distributed generation resource.
For isolated island micro-capacitance sensor, inverter control structures are as shown in Figure 1, equivalent-simplification structure is as shown in Figure 2.
As shown in fig. 7, using it is a kind of based on adaptive virtual impedance without communication low pressure micro-capacitance sensor distributed control method,
Its control the following steps are included:
Step 1: utilizing the active power and the ratio of voltage magnitude of the output of local inverter and multiplying for virtual impedance coefficient
Product, generates adaptive virtual resistance.
Before this step, the also three-phase voltage u of detection inverter outputabcWith three-phase current iabc, utilize Park Transformation
Obtain the u under dq axial coordinatedqAnd idq, active-power P and reactive power Q is calculated.
Using the product of the active power of local inverter output and the ratio of voltage magnitude and virtual impedance coefficient, generate
Adaptive virtual resistance；
Adaptively virtual resistance is
Wherein, kiFor virtual impedance coefficient, value range is 0.05~0.3；PiFor the active power of output of inverter i, Ei
It is the output voltage amplitude of inverter i.
Step 2: virtual negative inductance being determined according to the induction reactance part in the equivalent output impedance of local inverter, makes local inverse
The equivalent output impedance for becoming device is in resistance characteristic.
In disclosure example, the disclosure is described in detail with derivation formula with reference to the accompanying drawing:
Since the impedance of interconnection of each inverter at bus PCC differs, line electricity pressure drop also can be different, this makes respectively
Inverter output voltage is simultaneously unequal, the relationship of inverter output voltage and busbar voltage are as follows:
In formula: UpccFor the amplitude of busbar voltage, RiFor i-th of DG unit to the line resistance between bus.
Fig. 3 illustrates the difference of inverter active power of output and voltage whens line impedance does not wait, and according to formula (1), holds
Measuring active power distribution error of the equal two micro- source after the weighting of sagging coefficient can state are as follows:
kpiPi-kpjPj=Ej-Ei (3)
Wherein, kqi、kpiThe sagging coefficient of the frequency of respectively i-th DG unit and the sagging coefficient of voltage；
PiFor the active power of output of inverter i, EiIt is the output voltage amplitude of inverter i；
PjFor the active power of output of inverter j, EjIt is the output voltage amplitude of inverter j.
The unbalanced of inverter active power is described by the deviation of voltage, micro battery inverter output voltage deviation
Calculation formula can be stated are as follows:
Wherein, E*For load voltage value；Δ E is the deviation of voltage；RiFor i-th of DG unit to the line resistance between bus；
RjFor j-th of DG unit to the line resistance between bus.
Adaptive virtual resistance is being addedAfterwards, the deviation of inverter output voltage is recalculated are as follows:
Wherein, RivAnd RjvRespectively DGi、DGjVirtual resistance.
It, will in order to facilitate calculatingIt is denoted as Ai,It is denoted as Aj, then above formula can be abbreviated as
In conjunction with Fig. 3, the inverter output power for analyzing different line impedances can be seen that line impedance in inverter i
When greater than another inverter j, the active active power that can be less than inverter j is exported, and the voltage of inverter i can be larger, Ri
> Rj, Pi< Pj, Ei> Ej, therefore AiMuch less than Aj。
Contrast (4) (6) two voltage deviation formula,For a minus number, by reasonably selecting coefficient k,
Voltage deviation amplitude can be improved, so that inverter output power deviation reduces, reach target output accuracy.
The value of k is between 0.05-0.2.
Consider the influence of the elements such as filter inductance, inverter equivalent output impedance still contains biggish sensitive ingredients, is
Power coupling is further decreased, control performance is improved, increasing negative inductance in virtual impedance makes equivalent output impedance in resistance
Characteristic.
Step 3: it is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance.
Adaptive virtual negative induction reactance is-Xv, the value for adding up the two to obtain adaptive virtual impedance is Zv=Rv+jXV。
The inverter control transmission function block diagram of the present embodiment is as shown in figure 4, ZvirControl is compensated for the virtual impedance of introducing
Parameter, Kup、KuiFor the ratio and integral coefficient of outer voltage, KipFor the proportionality coefficient of current inner loop, KpwmFor inverter gain,
Rf、Lf、CfThe respectively series resistance of LC filter circuit, inductance and capacitance.
Output voltage in Fig. 3 can be written as:
In formula: Z0It (s) is equivalent output impedance when being not added virtual impedance, GuIt (s) is system gain, ZinvIt (s) is to increase
Equivalent output impedance after virtual impedance, ioTo export electric current.
After introducing virtual resistance and virtual negative inductance, the equivalent output induction reactance of inverter weakens significantly, and it reduce function
Rate coupling, improves the stability of control.
Step 4: according to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, generating dq
Axis virtual voltage.
Electric current i is exported according to adaptive output impedance and dq axisdqThe virtual offset voltage u of dq axis is calculateddvAnd uqv。
Adaptive virtual impedance compensation control structure is as shown in figure 5, inverter outlet measurement obtains three-phase current by group
Gram convert to obtain dq shaft current component Iod、Ioq, according to the virtual offset voltage value u of the available dq axis of formula (10)dv、uqv。
After virtual negative inductance, the virtual offset voltage value u under dq axisdv、uqvCalculation formula is as follows
Step 5: compensating the voltage reference value obtained in the sagging control of resistor-type using dq axis virtual voltage, obtain final
Reference voltage.
In conjunction with sagging control voltage reference value generatedThe available dq shaft voltage finally controlled
The sagging control of resistor-type is P-U, Q-f control method, suitable for resistance low-voltage circuit greater than in the case of inductance
Power decoupled control.
Specifically, in low pressure micro-capacitance sensor, the ginseng of corresponding voltage magnitude and frequency is obtained according to the sagging control of resistor-type
Value is examined, calculation formula is as follows:
Wherein, fi、EiThe frequency and voltage reference value of respectively i-th DG unit；fref、ErefThe respectively volume of DG unit
Determine frequency, rated voltage amplitude；Pi *、Qi *The rated active power and reactive power of respectively i-th DG unit；kqi、kpiRespectively
For the sagging coefficient of the frequency of i-th of DG unit and the sagging coefficient of voltage.
In another embodiment, the control method, further includes:
Finally obtained reference voltage is input in PWM controller to control modulated signal, to obtain this
The control signal of ground inverter.
Using dq axis virtual voltage come offset voltage reference value, final reference voltage is obtained, through the bicyclic control of voltage and current
Pwm signal is generated after system, to control the conducting of switching tube in local inverter.
Control method is divided equally to the isolated island microgrid power that the disclosure provides and has carried out simulating, verifying, is mainly introduced below imitative
True case, isolated island micro-capacitance sensor are powered by the equal DG of two capacity, and design parameter is as described below:
Frequency droop coefficient is kq1=kq2=5*10-5Hz/var；
The sagging coefficient of voltage is kp1=kp2=1*10-3V/W；
Feed line impedance is respectively 0.34 Ω+0.17mH, 0.15 Ω+0.1mH；
Load 1 is 3.6kW+j2.1kvar,
Load 2 is 1.5kW+j0.9kvar,
Load 3 is 2.4kW+j1.2kvar；
Filter parameter Lf=1mH, Lf=100 μ F, Rf=0.1 Ω；
Voltage loop parameter kup=0.1, kui=100；Current ring parameter kip=5；Virtual impedance coefficient k=0.15；Virtual negative
Inductance is -2mH；
Simulation time is 2s, does not add the sagging control of tradition of virtual impedance, 2 operation of bringing onto load 1 and load in 0.5s；
Increase virtual impedance control when 0.5s, in the case where loading unchanged to compare the feasibility of virtual impedance control；It is cut in 1s
In addition to load 2 only remains load 1,3 are loaded in 1.5s and is incorporated to microgrid, it can in the fluctuation of load to verify adaptive virtual impedance
Guarantee its validity.
As shown in Fig. 6 (a), 2 operation of virtual impedance bringing onto load 1 and load is not added before 0.5s, due to the shadow of line impedance
It rings, active power of output has relatively large deviation.Increase virtual impedance control when 0.5s in the case where loading unchanged, two micro- sources
Active power deviation reduces, and two micro- source power deviations are reduced to 6.06% by 29.16%.It is active in subsequent load variation
Power still maintains small deviation.
Fig. 6 (b) is the variation of two micro- source output reactive powers, and since frequency is global variable, two micro- sources export idle function
Rate is identical.
Whether there is or not the phase current variations of adaptive virtual impedance control before and after Fig. 6 (c) is 0.5s, when 0-0.5s, phase current width
Value difference is 1.59A, and phase current is almost the same after 0.5s, this it is also seen that proposed control method validity.
Fig. 6 (d) is two inverter virtual resistance values, and with the variation of load, virtual resistance can accordingly change.
A kind of low pressure micro-capacitance sensor dcs based on adaptive virtual impedance of the embodiment of the present disclosure, comprising:
Voltage and current sampling apparatus is used to acquire the voltage and current signals of local inverter output and is sent to benchmark
Voltage correction processor；
Reference voltage Correction Processor, is configured as:
The voltage and current signals exported using local inverter obtain the active power and voltage of local inverter output
Amplitude；
Using the product of the active power of local inverter output and the ratio of voltage magnitude and virtual impedance coefficient, generate
Adaptive virtual resistance；
Virtual negative inductance is determined according to the induction reactance part in the equivalent output impedance of local inverter, makes local inverter
Equivalent output impedance is in resistance characteristic；
It is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance；
According to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, it is virtual to generate dq axis
Voltage；
The voltage reference value obtained in the sagging control of resistor-type is compensated using dq axis virtual voltage, obtains final benchmark
Voltage.
In specific implementation, it in the reference voltage Correction Processor, according to the transmission function of local inverter, obtains
The equivalent output impedance of local inverter.
In specific implementation, in the reference voltage Correction Processor, the value range of virtual impedance coefficient is 0.05
~0.3.The value range can be effectively reduced active power and reactive power coupling improves operation stability.
In specific implementation, the control system, further includes:
PWM controller, the reference voltage after being used to receive correction, then modulated signal is controlled, to obtain this
The control signal of ground inverter.
Specifically, voltage and current double -loop control can be used in PWM controller or other existing control algolithms are exchanged to realize
The control of signal processed.
The characteristics of disclosure is more suitable for low pressure micro-capacitance sensor resistive route using resistor-type droop control method.
The disclosure obtains certainly merely with local information amount, i.e., the active power and voltage magnitude information of local inverter output
Virtual impedance is adapted to, the influence of reduction line impedance that can be adaptive in the case where being not necessarily to communication mechanism reduces inverter
The deviation of output power.
The disclosure reduces the induction reactance of inverter equivalent output impedance using virtual negative inductance, reduces active power and idle function
Rate coupling improves operation stability.
Although above-mentioned be described in conjunction with specific embodiment of the attached drawing to the disclosure, model not is protected to the disclosure
The limitation enclosed, those skilled in the art should understand that, on the basis of the technical solution of the disclosure, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within the protection scope of the disclosure.
Claims (8)
1. a kind of low pressure micro-capacitance sensor distributed control method based on adaptive virtual impedance characterized by comprising
Using the product of the active power of local inverter output and the ratio of voltage magnitude and virtual impedance coefficient, generate adaptive
Answer virtual resistance；
Virtual negative inductance is determined according to the induction reactance part in the equivalent output impedance of local inverter, makes the equivalent of local inverter
Output impedance is in resistance characteristic；
It is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance；
According to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, it is virtually electric to generate dq axis
Pressure；
The voltage reference value obtained in the sagging control of resistor-type is compensated using dq axis virtual voltage, obtains final benchmark electricity
Pressure.
2. the low pressure micro-capacitance sensor distributed control method based on adaptive virtual impedance, feature exist as described in claim 1
In obtaining the equivalent output impedance of local inverter according to the transmission function of local inverter.
3. the low pressure micro-capacitance sensor distributed control method based on adaptive virtual impedance, feature exist as described in claim 1
In the value range of virtual impedance coefficient is 0.05~0.3.
4. the low pressure micro-capacitance sensor distributed control method based on adaptive virtual impedance, feature exist as described in claim 1
In the control method, further includes:
Finally obtained reference voltage is input in PWM controller to control modulated signal, to obtain local inverse
Become the control signal of device.
5. a kind of low pressure micro-capacitance sensor dcs based on adaptive virtual impedance characterized by comprising
Voltage and current sampling apparatus is used to acquire the voltage and current signals of local inverter output and is sent to reference voltage
Correction Processor；
Reference voltage Correction Processor, is configured as:
The voltage and current signals exported using local inverter obtain the active power and voltage amplitude of local inverter output
Value；
Using the product of the active power of local inverter output and the ratio of voltage magnitude and virtual impedance coefficient, generate adaptive
Answer virtual resistance；
Virtual negative inductance is determined according to the induction reactance part in the equivalent output impedance of local inverter, makes the equivalent of local inverter
Output impedance is in resistance characteristic；
It is cumulative according to adaptive virtual resistance and virtual negative inductance plural number, obtain adaptive virtual impedance；
According to the dq shaft current component of adaptive virtual impedance and local inverter outlet three-phase current, it is virtually electric to generate dq axis
Pressure；
The voltage reference value obtained in the sagging control of resistor-type is compensated using dq axis virtual voltage, obtains final benchmark electricity
Pressure.
6. the low pressure micro-capacitance sensor dcs based on adaptive virtual impedance, feature exist as claimed in claim 5
According to the transmission function of local inverter, obtaining the equivalent defeated of local inverter in the reference voltage Correction Processor
Impedance out.
7. the low pressure micro-capacitance sensor dcs based on adaptive virtual impedance, feature exist as claimed in claim 5
In in the reference voltage Correction Processor, the value range of virtual impedance coefficient is 0.05~0.3.
8. the low pressure micro-capacitance sensor dcs based on adaptive virtual impedance, feature exist as claimed in claim 5
In the control system, further includes:
PWM controller, the reference voltage after being used to receive correction, then modulated signal is controlled, to obtain local inverse
Become the control signal of device.
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| CN111257688A (en) * | 2020-02-11 | 2020-06-09 | 西南交通大学 | Method for evaluating electrical performance of electrified railway contact net |
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| CN114499257A (en) * | 2022-02-21 | 2022-05-13 | 浙江大学杭州国际科创中心 | Control method for improving stability of grid-connected inverter under low short-circuit ratio |
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| CN109904881A (en) * | 2019-04-12 | 2019-06-18 | 中南大学 | A kind of cascade microgrid power based on adaptive simulated capacitance divides equally control method |
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| CN110350580B (en) * | 2019-07-10 | 2022-04-12 | 太原理工大学 | Control method of low-voltage microgrid inverter based on self-adaptive virtual impedance |
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| CN112242788A (en) * | 2020-10-21 | 2021-01-19 | 西安理工大学 | Virtual direct current motor control method applied to bidirectional DC/DC converter |
| CN114499257A (en) * | 2022-02-21 | 2022-05-13 | 浙江大学杭州国际科创中心 | Control method for improving stability of grid-connected inverter under low short-circuit ratio |
| CN114499257B (en) * | 2022-02-21 | 2023-12-08 | 浙江大学杭州国际科创中心 | Control method for improving stability of grid-connected inverter under low short circuit ratio |
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| CN109449999B (en) | 2019-09-24 |
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