CN115986776A - Energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation - Google Patents
Energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation Download PDFInfo
- Publication number
- CN115986776A CN115986776A CN202310166060.XA CN202310166060A CN115986776A CN 115986776 A CN115986776 A CN 115986776A CN 202310166060 A CN202310166060 A CN 202310166060A CN 115986776 A CN115986776 A CN 115986776A
- Authority
- CN
- China
- Prior art keywords
- energy storage
- synchronous machine
- virtual synchronous
- grid
- storage virtual
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention discloses an energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation, which aims at the problem that steady-state deviation and dynamic oscillation of grid-connected active power of a traditional energy storage virtual synchronous machine are difficult to take into account due to mutual coupling of a primary frequency modulation coefficient and a virtual damping coefficient. The control method utilizes a feedforward to grid-connected active closed-loop control loop after active power passes through a first-order low-pass filtering link containing a virtual inertia coefficient and a primary frequency modulation coefficient, optimizes the dynamic performance of the grid-connected active power of the energy storage virtual synchronous machine by adjusting the feedforward coefficient, has the advantages of not influencing the primary frequency modulation characteristic, not increasing the control system order, not needing differential operation and having no output frequency overshoot risk, and is suitable for energy storage converter grid-connected operation scenes with lead acid, lithium batteries and the like configured on a direct current side and microgrid access distribution network scenes containing the energy storage converters.
Description
Technical Field
The invention relates to the field of virtual synchronous generator control, in particular to an energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation, which is suitable for energy storage converter grid-connected operation scenes with lead-acid batteries, lithium batteries and the like configured on a direct current side and microgrid access distribution network scenes comprising the energy storage converters.
Background
The Virtual inertia control link of a traditional energy storage Virtual Synchronous Generator (VSG) enables an active-frequency closed-loop control system of the VSG to become a typical second-order oscillation system, so that dynamic oscillation and power overshoot inevitably occur in grid-connected active power under two conventional disturbances of an active reference instruction and grid frequency. In addition, the traditional energy storage virtual synchronous machine can directly utilize a virtual damping control link and inhibit or eliminate dynamic oscillation of grid-connected active power under the two disturbances in a mode of increasing a virtual damping coefficient, but the damping response performance and the primary frequency modulation characteristic cannot be independently adjusted due to the fact that the virtual damping coefficient is coupled with the primary frequency modulation coefficient.
Therefore, various researches are made, such as an article entitled "virtual inertia optimization control strategy based on frequency stability improvement", volume 50, 12, pages 126 to 133 in electric power system protection and control 2022; the method is characterized in that an active power and frequency first-order differential feedforward compensation link is added to a forward channel of an active power-frequency control loop of a traditional virtual synchronous machine, transient damping of a virtual synchronous machine grid-connected active closed-loop system is increased to inhibit dynamic oscillation and power overshoot of grid-connected active closed-loop system, and adverse effects of high-frequency harmonic waves generated by differential operation on the system are not considered.
Entitled "d-axis current differential feedforward control for optimizing the dynamic characteristics of an energy storage VSG", volume 46, pages 2510-2523 of No. 07 in 2022 of grid technology; the article proposes that a first-order low-pass filter is introduced into a virtual synchronous machine grid-connected active current first-order differential feedforward link, the introduced first-order low-pass filter can eliminate high-frequency harmonic waves caused by differential operation to a certain extent, but the order of a virtual synchronous machine grid-connected active closed loop system is upgraded to be third order, and the defects of complex parameter setting process and output frequency overshoot of the system exist.
Entitled "virtual synchronous generator transient power oscillation suppression strategy considering overshoot", volume 46, pages 11, 131 to 141, power system automation, 2022; the FFC-VSG control strategy utilizes a first-order lag link difference mode to construct a damping scheme based on active transient Feedforward without differential operation, but an active closed-loop system of the FFC-VSG is still a third-order system, the parameter design is complex, and the output frequency of the FFC-VSG has the risk of overshoot under the step of an active reference instruction.
An article entitled "Areference-fed forward-based damping method for virtual synchronous generators", YUY, CHAUDHARY S K, TINAJERO G DA, et al, "[ IEEE Transactions on Power Electronics ], 2022, 37 (7), 7566-7571," [ virtual synchronizer damping control method based on active reference "" [ IEEE Power Electronics journal ], volume 37, 7, pages 7566-7571 of 2022 ]; the transient damping strategy based on active reference instruction composite differential feedforward compensation is provided by aiming at designing a virtual synchronous machine active closed loop system into a typical second-order system, and the differential feedforward compensation parameter setting of the control strategy has the advantages of intuition and simplicity, but is not suitable for the operation condition of power grid frequency disturbance.
From the above, although the problems of grid-connected active dynamic oscillation and power overshoot of the traditional energy storage virtual synchronous machine under the working conditions of active reference instruction and grid frequency disturbance are solved in the prior art, the defects that the grid-connected active has steady state deviation, harmonic amplification is introduced by differential operation, output frequency overshoot, system order increase brings complexity of parameter design and limited application working conditions and the like still exist.
Disclosure of Invention
The invention provides an energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation, aiming at overcoming the limitation of various technical schemes given in the background technology and solving the problem that the grid-connected active power of the traditional energy storage virtual synchronous machine cannot be considered by steady state deviation and dynamic oscillation due to the mutual coupling of a primary frequency modulation coefficient and a virtual damping coefficient.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation comprises the following steps:
step 1, calculating feedforward compensation quantity, and enabling an active reference instruction P of the energy storage virtual synchronous machine ref Grid-connected active power P minus energy storage virtual synchronous machine e Obtaining the power difference DeltaP of the two as the input quantity of feedforward compensation control, and processing the power difference DeltaP by the method including a virtual inertia coefficient J and a primary frequency modulation coefficient k ω And a feedforward coefficient k d After the first-order low-pass filtering link, the compensation quantity delta of feedforward compensation control is obtained d ；
Step 2, in the rotor motion equation part, the power difference delta P obtained in the step 1 is processed by a process containing a virtual inertia coefficient J and a primary frequency modulation coefficient k ω Obtaining angular frequency deviation delta omega after a first-order low-pass filtering link of the virtual damping coefficient D, and adding the angular frequency deviation delta omega to the rated angular frequency omega of the power grid 0 Obtaining an output angular frequency omega of the energy storage virtual synchronous machine;
step 3, subtracting the power grid angular frequency omega from the output angular frequency omega of the energy storage virtual synchronous machine obtained in the step 2 g Then obtaining the power angle delta through integral operation g Angle of rotation delta g Adding the compensation delta obtained in the step 1 d Obtaining a power factor angle delta of the energy storage virtual synchronous machine;
step 4, storing the obtained product in the step 3Multiplying the power factor angle delta of the virtual synchronous machine by the synchronous voltage coefficient K to obtain the grid-connected active power P of the energy storage virtual synchronous machine e ；
Step 5, the output angular frequency omega of the energy storage virtual synchronous machine obtained in the step 2 is added with the compensation quantity delta obtained in the step 1 after integral operation d Obtaining an output phase theta of the energy storage virtual synchronous machine, taking the output phase theta as a phase for dq coordinate transformation, and obtaining a voltage reference instruction E under a dq coordinate system for a reactive power control loop * dq Carrying out dq coordinate transformation to obtain a three-phase voltage modulation signal E under an abc coordinate system * abc Modulating the signal E by the three-phase voltage * abc And generating a driving signal of a switching tube of an inverter bridge of the energy storage converter through an SVPWM (space vector pulse width modulation) link.
Preferably, the calculation formula of the input quantity power difference Δ P of the feedforward compensation control in the step 1 is as follows:
ΔP＝P ref -P e ，
compensation delta of feedforward compensation control d The calculation formula used is:
in the formula, s is a laplace operator.
Preferably, the angular frequency deviation Δ ω in step 2 is calculated by the formula:
the calculation formula of the output angular frequency omega of the energy storage virtual synchronous machine is as follows:
ω＝Δω+ω 0 ，
in the formula, s is a laplace operator.
Preferably, the work angle δ in step 3 g The calculation formula used is:
the calculation formula of the power factor angle delta of the energy storage virtual synchronous machine is as follows:
δ＝δ g +δ d ，
in the formula, s is a laplace operator.
Preferably, the grid-connected active power P of the energy storage virtual synchronous machine in the step 4 e The calculation formula used is:
in the formula of U g And E is the amplitude of the voltage of the power grid, E is the amplitude of the output voltage of the energy storage virtual synchronous machine, and X is the equivalent inductive reactance of the line.
Preferably, the calculation formula of the output phase θ of the energy storage virtual synchronous machine in the step 5 is as follows:
in the formula, s is a laplace operator.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation, which utilizes the fact that active power is fed forward to a grid-connected active closed-loop control loop after passing through a first-order low-pass filtering link comprising a virtual inertia coefficient and a primary frequency modulation coefficient, optimizes the dynamic performance of the energy storage virtual synchronous machine grid-connected active power by adjusting the feedforward coefficient, and therefore, the method has the advantages of not influencing primary frequency modulation characteristics, not increasing control system orders, not needing differential operation, having no output frequency overshoot risk, and considering two working conditions of active reference instructions and power grid frequency disturbance.
Drawings
Fig. 1 is a diagram of an energy storage virtual synchronous machine grid-connected active closed-loop equivalent control structure according to an embodiment of the invention.
Fig. 2 is a schematic diagram of calculation of the compensation amount of the feedforward compensation control.
Fig. 3 is a schematic diagram of coordinate transformation and modulation according to an embodiment of the present invention.
Fig. 4 is a comparison graph of simulation waveforms before and after the energy storage converter adopts the invention.
Fig. 5 is a comparison graph of experimental waveforms before and after the energy storage converter adopts the invention.
Detailed Description
The following detailed description will be further described in conjunction with the above figures, in which:
referring to fig. 1, the method for controlling grid connection of an energy storage virtual synchronous machine based on active feed-forward compensation provided by the invention comprises the following steps:
step 1, calculating feedforward compensation quantity, and referring to an active reference instruction P of the energy storage virtual synchronous machine as shown in figure 2 ref Grid-connected active power P less energy storage virtual synchronous machine e Obtaining the power difference DeltaP between the two as the input quantity of feedforward compensation control, and making the power difference DeltaP contain the virtual inertia coefficient J and the primary frequency modulation coefficient k ω And a feedforward coefficient k d After the first-order low-pass filtering step, the compensation quantity delta of feedforward compensation control is obtained d 。
The calculation formula of the input quantity power difference Delta P of the feedforward compensation control is as follows:
ΔP＝P ref -P e ，
compensation delta of feedforward compensation control d The calculation formula used is:
in the formula, s is a laplacian operator.
Step 2, in the rotor motion equation part, the power difference delta P obtained in the step 1 is processed by a process containing a virtual inertia coefficient J and a primary frequency modulation coefficient k ω And virtual dampingObtaining angular frequency deviation delta omega after a first-order low-pass filtering link of the coefficient D, and adding the angular frequency deviation delta omega to the rated angular frequency omega of the power grid 0 And obtaining the output angular frequency omega of the energy storage virtual synchronous machine.
Wherein, the calculation formula for the angular frequency deviation delta omega is as follows:
the calculation formula of the output angular frequency omega of the energy storage virtual synchronous machine is as follows:
ω＝Δω+ω 0 ，
in the formula, s is a laplacian operator.
Step 3, subtracting the power grid angular frequency omega from the output angular frequency omega of the energy storage virtual synchronous machine obtained in the step 2 g Then obtaining the power angle delta through integral operation g Angle of rotation delta g Adding the compensation delta obtained in the step 1 d And obtaining a power factor angle delta of the energy storage virtual synchronous machine.
Wherein the power angle delta g The calculation formula used is:
the calculation formula of the power factor angle delta of the energy storage virtual synchronous machine is as follows:
δ＝δ g +δ d ，
in the formula, s is a laplace operator.
Step 4, multiplying the power factor angle delta of the energy storage virtual synchronous machine obtained in the step 3 by a synchronous voltage coefficient K to obtain a grid-connected active power P of the energy storage virtual synchronous machine e 。
Wherein, the grid-connected active power P of the energy storage virtual synchronous machine e The calculation formula used is:
in the formula of U g And E is the amplitude of the voltage of the power grid, E is the amplitude of the output voltage of the energy storage virtual synchronous machine, and X is the equivalent inductive reactance of the line.
Step 5, as shown in fig. 3, the output angular frequency ω of the energy storage virtual synchronous machine obtained in step 2 is added with the compensation amount δ obtained in step 1 after integral operation d Obtaining an output phase theta of the energy storage virtual synchronous machine, taking the output phase theta as a phase for dq coordinate transformation, and obtaining a voltage reference instruction E under a dq coordinate system for a reactive power control loop * dq Carrying out dq coordinate transformation to obtain a three-phase voltage modulation signal E under an abc coordinate system * abc Modulating the signal E by the three-phase voltage * abc And generating a driving signal of a switching tube of an inverter bridge of the energy storage converter through an SVPWM (space vector pulse width modulation) link.
The calculation formula for the output phase theta of the energy storage virtual synchronous machine is as follows:
in the formula, s is a laplacian operator.
Examples
In order to verify the control effect of the energy storage virtual synchronous machine (APFC-VSG for short) grid-connected control method based on active feedforward compensation, simulation and experimental comparison tests are carried out on the APFC-VSG grid-connected control method, the traditional energy storage virtual synchronous machine (TVSG for short) grid-connected control method and the existing virtual synchronous machine (FFC-VSG for short) grid-connected control method based on active transient feedforward compensation (the control method mentioned in the background technology entitled "virtual synchronous generator transient power oscillation suppression strategy considering overshoot"). The method comprises the following specific steps:
firstly, relevant parameters are set, in the embodiment, the relevant parameters in the APFC-VSG grid-connected control method of the present invention are set as follows:
the rated capacity of the energy storage virtual synchronous machine is 100kVA, and the active reference instruction P ref 20kW, rated angular frequency omega of the grid 0 314.16rad/s, and a virtual inertia coefficient J of 6kg m 2 Coefficient of primary frequency modulation k ω 15915.5J/rad, grid voltage amplitude U g 311V, the amplitude E of the output voltage of the energy storage virtual synchronous machine is 311V, the equivalent inductive reactance X of the circuit is 0.1 omega, and the synchronous voltage coefficient K =1.5U g E/X is 1450815. In this embodiment, the grid-connected active closed-loop equivalent control system of the energy storage virtual synchronous machine is set as a critical damping or over-damping system to ensure that the grid-connected active closed-loop equivalent control system of the energy storage virtual synchronous machine achieves the effect of no steady-state deviation and no dynamic oscillation under the condition that the virtual damping coefficient D is 0, that is, the virtual damping coefficient D is made to be 0, so that the purpose of setting is to eliminate the primary frequency modulation coefficient k ω And the virtual damping coefficient D is mutually coupled to introduce the grid-connected active steady-state deviation. The feedforward coefficient k is combined with the figure 1 and goes through a complicated formula derivation process d Has a value range of
Where k is to be d Set to 0.1.
And then, carrying out simulation, wherein the simulation is provided with two working conditions as follows:
setting simulation working conditions 1 as follows: the initial moment energy storage virtual synchronous machine outputs 20kW grid-connected active power and keeps stable operation, the power grid frequency maintains 50Hz, and the 3s moment active power reference instruction P ref Stepping from 20kW to 60kW;
setting simulation working conditions 2 as follows: the power grid frequency is kept unchanged at 50Hz at the initial moment, the energy storage virtual synchronous machine outputs 20kW grid-connected active power and keeps stable operation, and the power grid frequency is stepped down from 50Hz to 49.95Hz at the 3s moment.
The simulation comparison diagram shown in fig. 4 is obtained according to the above simulation working condition, where fig. 4 (a) corresponds to the simulation comparison result obtained in the simulation working condition 1, fig. 4 (b) corresponds to the simulation comparison result in the simulation working condition 2, and APFC-VSG in the diagram represents the energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation provided by the present invention, TVSG represents the conventional energy storage virtual synchronous machine grid-connected control method, and FFC-VSG represents the existing virtual synchronous machine grid-connected control method based on active transient feedforward compensation, that is, the curve pointed by TVSG is the simulation waveform diagram of the conventional energy storage virtual synchronous machine grid-connected control method, the curve pointed by FFC-VSG is the simulation waveform diagram of the existing virtual synchronous machine grid-connected control method based on active transient feedforward compensation, the curves pointed by FFC-VSG and the TVSG are both the simulation waveform diagrams pointed by the simulation before the present invention, and the curve pointed by APFC-VSG is the simulation waveform diagram of the virtual synchronous machine grid-connected control method based on active feedforward compensation provided by the present invention.
As can be seen from fig. 4 (a): when D =0 of the TVSG is set, the energy storage virtual synchronous machine grid-connected active closed-loop control system is an under-damping system, so that grid-connected active power and output frequency of the energy storage virtual synchronous machine are in an active reference instruction P ref When 40kW step disturbance occurs, large dynamic oscillation and overshoot exist; after the virtual damping D =284.5 is added, the grid-connected active closed-loop control system enters an over-damping state, so that grid-connected active power and output frequency are in an active reference instruction P ref No dynamic oscillation exists when 40kW step disturbance occurs; FFC-VSG and APFC-VSG are in active reference instruction P ref The grid-connected active power of the energy storage virtual synchronous machine can be guaranteed not to have dynamic oscillation and power overshoot when 40kW step disturbance occurs, the grid-connected active power of the energy storage virtual synchronous machine and the grid-connected active power of the energy storage virtual synchronous machine have higher dynamic response speed compared with TVSG (D = 284.5), but the output frequency of the FFC-VSG has a frequency overshoot amplitude of 0.23Hz, and the frequency overshoot amplitude is approximately 7.6 times of the frequency overshoot amplitude (0.03 Hz) of the APFC-VSG provided by the invention, so that the conventional FFC-VSG has the risk of frequency overshoot while realizing grid-connected active dynamic oscillation suppression, and the APFC-VSG of the invention has no risk of output frequency overshoot.
As can be seen from fig. 4 (b), when D =0 of the TVSG is set, both the grid-connected active power and the output frequency of the energy storage virtual synchronous machine have dynamic oscillation and overshoot under the grid frequency step disturbance; after D =284.5 is set, dynamic oscillation and overshoot do not exist in the grid-connected active power and the output frequency of the energy storage virtual synchronous machine when step disturbance occurs to the grid frequency, but steady-state deviation of 28.1kW exists in the grid-connected active power due to the introduction of D; and the FFC-VSG and the APFC-VSG can ensure that dynamic oscillation and overshoot do not occur to the grid-connected active power and the output frequency of the energy storage virtual synchronous machine when the grid frequency is subjected to step disturbance, the grid-connected active power and the output frequency of the energy storage virtual synchronous machine do not introduce steady-state errors compared with TVSG (D = 284.5), and the frequency change rate of the APFC-VSG compared with the FFC-VSG is minimum, so that the APFC-VSG provided by the invention has the optimal frequency dynamic response performance under the step disturbance of the grid frequency.
Then, the test was performed as follows:
active reference instruction P set as energy storage virtual synchronous machine under experimental working condition ref The step change from 20kW to 60kW and the step change from 50Hz to 49.95Hz of the power grid frequency are in one-to-one correspondence with the simulation working conditions.
Obtaining an experimental comparison chart as shown in fig. 5 according to the above working conditions, wherein fig. 5 (a) is an active reference command P ref The experimental comparison result of 20kW step to 60kW, FIG. 5 (b) is the experimental comparison result of 50Hz step to 49.95Hz grid frequency, APFC-VSG in the graph represents the energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation provided by the invention, TVSG represents the traditional energy storage virtual synchronous machine grid-connected control method, FFC-VSG has the virtual synchronous machine grid-connected control method based on active transient feedforward compensation, namely, the curve pointed by TVSG is the experimental waveform diagram adopting the traditional energy storage virtual synchronous machine grid-connected control method, the curve pointed by FFC-VSG is the experimental waveform diagram adopting the virtual synchronous machine grid-connected control method based on active transient feedforward compensation, the curve pointed by FFC-VSG and the curve pointed by TVSG are the experimental waveform diagrams before the invention, and the curve pointed by APFC-VSG is the experimental waveform diagram after the invention is adopted, in particular the experimental waveform diagram adopting the energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation provided by the invention.
According to fig. 5 (a) and 5 (b), the active reference instruction P can be easily found ref And the experimental verification comparison results under the power grid frequency step disturbance can be consistent with the simulation verification comparison results in fig. 4 (a) and fig. 4 (b). Specifically, after the TVSG is added with D =284.5, the grid-connected active power of the energy storage virtual synchronous machine does not have power overshoot under two kinds of step disturbance but has a steady state deviation of 28.3kW after the grid frequency step disturbance, and the FFC-VSG and the APFC-VSG have active powerReference instruction P ref And dynamic oscillation of grid connection active power can be effectively eliminated under the power grid frequency step disturbance, and steady state deviation is not introduced. However, the frequency overshoot amplitude of the FFC-VSG is at the active reference command P ref The frequency of the output frequency of the FFC-VSG is 0.35Hz under the step disturbance and is far higher than the 0.044Hz of the APFC-VSG provided by the invention, and the output frequency of the FFC-VSG also has the maximum frequency change rate under the step disturbance of the grid frequency, and the output frequency of the APFC-VSG has the minimum frequency change rate at the moment.
In summary, compared with the existing grid-connected control method, the grid-connected control method of the energy storage virtual synchronous machine based on the active feedforward compensation does not have dynamic oscillation and power overshoot, has higher dynamic response speed and better frequency dynamic response performance, does not have the risk of output frequency overshoot, and gives consideration to two working conditions of an active reference instruction and power grid frequency disturbance, and has better control effect.
The above description is intended to describe in detail the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.
Claims (6)
1. An energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation is characterized by comprising the following steps:
step 1, calculating feedforward compensation quantity, and calculating an active reference instruction P of the energy storage virtual synchronous machine ref Grid-connected active power P less energy storage virtual synchronous machine e Obtaining the power difference DeltaP of the two as the input quantity of feedforward compensation control, and processing the power difference DeltaP by the method including a virtual inertia coefficient J and a primary frequency modulation coefficient k ω And a feedforward coefficient k d After the first-order low-pass filtering link, the compensation quantity delta of feedforward compensation control is obtained d ；
Step 2, in the rotor motion equation part, the power difference delta P obtained in the step 1 is processed by a process containing a virtual inertia coefficient J and a primary frequency modulation coefficient k ω First order low pass with virtual damping coefficient DObtaining angular frequency deviation delta omega after a filtering link, and adding the angular frequency deviation delta omega to the rated angular frequency omega of the power grid 0 Obtaining an output angular frequency omega of the energy storage virtual synchronous machine;
step 3, subtracting the power grid angular frequency omega from the output angular frequency omega of the energy storage virtual synchronous machine obtained in the step 2 g Then obtaining the power angle delta through integral operation g Angle of rotation delta g Adding the compensation delta obtained in the step 1 d Obtaining a power factor angle delta of the energy storage virtual synchronous machine;
step 4, multiplying the power factor angle delta of the energy storage virtual synchronous machine obtained in the step 3 by a synchronous voltage coefficient K to obtain a grid-connected active power P of the energy storage virtual synchronous machine e ；
Step 5, the output angular frequency omega of the energy storage virtual synchronous machine obtained in the step 2 is added with the compensation quantity delta obtained in the step 1 after integral operation d Obtaining an output phase theta of the energy storage virtual synchronous machine, taking the output phase theta as a phase for dq coordinate transformation, and obtaining a voltage reference instruction E under a dq coordinate system for a reactive power control loop * dq Carrying out dq coordinate transformation to obtain a three-phase voltage modulation signal E under an abc coordinate system * abc Modulating the signal E by the three-phase voltage * abc And generating a driving signal of a switching tube of an inverter bridge of the energy storage converter through an SVPWM (space vector pulse width modulation) link.
2. The energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation according to claim 1, wherein the calculation formula for the input quantity power difference Δ P of the feedforward compensation control in step 1 is as follows:
ΔP＝P ref -P e ，
compensation delta of feedforward compensation control d The calculation formula used is:
in the formula, s is a laplace operator.
3. The energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation according to claim 1, wherein the calculation formula for the angular frequency deviation Δ ω in step 2 is as follows:
the calculation formula of the output angular frequency omega of the energy storage virtual synchronous machine is as follows:
ω＝Δω+ω 0 ，
in the formula, s is a laplace operator.
4. The energy storage virtual synchronous machine grid-connected control method based on active feedforward compensation according to claim 1, wherein the power angle δ in step 3 is g The calculation formula used is:
the calculation formula of the power factor angle delta of the energy storage virtual synchronous machine is as follows:
δ＝δ g +δ d ，
in the formula, s is a laplace operator.
5. The energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation according to claim 1, characterized in that the grid-connected active P of the energy storage virtual synchronous machine in the step 4 e The calculation formula used is:
in the formula of U g And E is the amplitude of the voltage of the power grid, E is the amplitude of the output voltage of the energy storage virtual synchronous machine, and X is the equivalent inductive reactance of the line.
6. The energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation according to claim 1, wherein the calculation formula for the output phase θ of the energy storage virtual synchronous machine in the step 5 is as follows:
in the formula, s is a laplace operator.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310166060.XA CN115986776A (en) | 2023-02-27 | 2023-02-27 | Energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310166060.XA CN115986776A (en) | 2023-02-27 | 2023-02-27 | Energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115986776A true CN115986776A (en) | 2023-04-18 |
Family
ID=85959807
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310166060.XA Pending CN115986776A (en) | 2023-02-27 | 2023-02-27 | Energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115986776A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117639123A (en) * | 2024-01-24 | 2024-03-01 | 国网湖北省电力有限公司 | Virtual synchronous machine active power control method and device for network-structured converter |
-
2023
- 2023-02-27 CN CN202310166060.XA patent/CN115986776A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117639123A (en) * | 2024-01-24 | 2024-03-01 | 国网湖北省电力有限公司 | Virtual synchronous machine active power control method and device for network-structured converter |
| CN117639123B (en) * | 2024-01-24 | 2024-04-09 | 国网湖北省电力有限公司 | Virtual synchronous machine active power control method and device for network-structured converter |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110429655B (en) | Energy storage unit active support control method and system based on synchronous machine third-order model | |
| CN112751346B (en) | Design method of DFIG-PSS controller based on virtual impedance | |
| CN110676874B (en) | Direct-drive fan subsynchronous oscillation electrical quantity analysis method considering frequency coupling effect | |
| CN115954899A (en) | Virtual synchronous machine grid-connected active optimization method based on frequency feedforward compensation | |
| CN113193605B (en) | Active power direct control method of voltage control type new energy converter | |
| CN117134372A (en) | Combined compensation method, control method and device for grid connection of grid-built energy storage system | |
| CN112260287A (en) | Novel photovoltaic microgrid droop reactive compensation control method | |
| CN115986776A (en) | Energy storage virtual synchronous machine grid-connected control method based on active feed-forward compensation | |
| CN116014748A (en) | Active support-based low-voltage ride through control method and device for energy storage converter | |
| CN115882762A (en) | Frequency optimization control method of grid-connected wind power system | |
| CN110266044B (en) | Microgrid grid-connected control system and method based on energy storage converter | |
| CN114552675A (en) | Grid-connected inverter transient stability control method and device based on virtual synchronous machine | |
| CN116961116B (en) | Transient stability lifting method for grid-built inverter based on self-adaptive q-axis voltage feedback | |
| CN116667388B (en) | Low-frequency oscillation suppression method for liquid flow super-capacity lithium battery hybrid energy storage power system | |
| CN115579966A (en) | Network-building type doubly-fed wind turbine generator control method based on hybrid synchronization | |
| CN113937789B (en) | Voltage source type double-fed fan feedforward damping control method based on fractional order filtering | |
| CN114678900A (en) | Self-synchronization grid connection method of network construction type double-fed wind turbine generator based on flux linkage control | |
| Ling et al. | Grid voltage feedforward control of gfi for improving dynamical performance | |
| CN113193569A (en) | Capacitance energy control method with short-term frequency support and direct-current side oscillation suppression function | |
| Guo et al. | Subsynchronous oscillation suppression strategy of wind turbine’s phase-locked loop based on optimal damping ratio | |
| CN118117611A (en) | Energy reconstruction-based damping optimization method for network-structured virtual synchronous machine | |
| CN116207800A (en) | Control method for improving active response speed of virtual synchronous machine under weak current network | |
| CN117155138B (en) | Three-level four-quadrant frequency converter and control method thereof | |
| CN117060483A (en) | Control method of network-structured multiple fractional order virtual synchronous machine | |
| Lu et al. | Virtual synchronous generator control strategy based on improved inner loop applied to power storage converter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |