CN111446741A - Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation - Google Patents

Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation Download PDF

Info

Publication number
CN111446741A
CN111446741A CN202010259086.5A CN202010259086A CN111446741A CN 111446741 A CN111446741 A CN 111446741A CN 202010259086 A CN202010259086 A CN 202010259086A CN 111446741 A CN111446741 A CN 111446741A
Authority
CN
China
Prior art keywords
synchronous generator
virtual synchronous
power
inverter
inertia
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.)
Granted
Application number
CN202010259086.5A
Other languages
Chinese (zh)
Other versions
CN111446741B (en
Inventor
李岚
程之隆
郭潇潇
吴雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Taiyuan University of Technology
Original Assignee
Taiyuan University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Taiyuan University of Technology filed Critical Taiyuan University of Technology
Priority to CN202010259086.5A priority Critical patent/CN111446741B/en
Publication of CN111446741A publication Critical patent/CN111446741A/en
Application granted granted Critical
Publication of CN111446741B publication Critical patent/CN111446741B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • 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
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • 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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/50—Controlling the sharing of the out-of-phase component
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Control Of Eletrric Generators (AREA)

Abstract

A virtual synchronous generator parameter self-adaption method for direct-drive wind power generation is disclosed. When the virtual synchronous generator strategy is applied to the control of the inverter of the direct-drive wind power generation system, the control parameters of the virtual rotational inertia and the virtual damping coefficient are fixed, so that the control is not flexible enough, and the realization of the target is limited. Aiming at the defect, the invention discloses a parameter self-adaption improved control method for a virtual synchronous generator, which is improved in that the virtual moment of inertia and the virtual damping coefficient in an algorithm can be adjusted in real time according to the change of the system frequency, so that the change rate and the change quantity of the system frequency in the fluctuation process are finally reduced, and the stability of a power generation system is improved.

Description

Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation
Technical Field
The invention belongs to the field of direct-drive wind power generator inverter control, and particularly relates to a virtual synchronous generator parameter self-adaption method for direct-drive wind power generation.
Background
The global energy crisis is becoming more and more serious, so that the wind power generation mode becomes the focus of people in the new period. However, these power generation methods all need to be connected to a power grid through a power electronic converter and transmit electric energy, and therefore, as the proportion of new energy in the power generation methods increases, the stability of a power system is reduced due to the fact that power electronic devices lack inertia. Therefore, it is necessary to introduce a control method of a virtual synchronous generator to raise the inertia of the inverter.
Although the current research on the virtual synchronous generator improves the change size and the change rate of the frequency to a certain extent, the characteristic that the relevant control coefficient can be flexibly adjusted is not fully exerted.
Disclosure of Invention
The invention researches and develops a virtual synchronous generator parameter self-adaptive method for direct-drive wind power generation, and self-adaptively adjusts the rotary inertia and the damping coefficient in the control method according to the main circuit parameters and the magnitude and the variation trend of the output angular frequency of an inverter on the basis of the traditional virtual synchronous generator control method, thereby slowing down the angular frequency sudden change and reducing the magnitude of the angular frequency variation, shortening the time for recovering the angular frequency to a steady state value, and fully utilizing the characteristic of flexibly adjusting the control parameters of the virtual synchronous generator.
In the method adopted by the invention, the wind driven generator is connected with the rectifying part and controls the constant of the direct current bus voltage. The virtual synchronous generator control strategy is applied to the inverter part, and then electric energy is transmitted to a power grid. The whole system adopts a back-to-back converter structure. And the magnitude of the power value controlled by MPPT in the wind power generation process is used as the given value of the virtual synchronous generator strategy. The content of the parameter self-adaptive method of the virtual synchronous generator is as follows:
(1) according to the method, the active power P and the reactive power Q of the grid-connected inverter are calculated according to the voltage and the current output by the grid-connected inverter. The MPPT controls the output active power given value PrefSubtracting P to obtain power difference value delta P, and dividing delta P by rated angular speed omega0Obtaining torque difference delta T, and obtaining inversion through a synchronous generator rotor motion equationThe output angular frequency omega of the device is integrated to obtain the electromotive force phase angle theta of the virtual synchronous generator. And the amplitude E of the reference electromotive force of the virtual synchronous generatormThen the calculated reactive power Q and the given value Q of the reactive powerrefAnd a reference voltage UrefObtained by controlling the droop. Finally, the amplitude E of the reference electromotive force is obtainedmAnd the electromotive force phase angle theta forms a voltage modulation signal to control the on-off of the inverter switching tube.
(2) Determining the moment of inertia J when the output angular frequency of the inverter is stable0And damping coefficient D0The virtual synchronous generator output filter impedance Z and the impedance angle α may be expressed as:
Figure BDA0002438603920000021
wherein R is the filter circuit resistance, and L is the filter circuit inductance.
At given value of active power PrefAnd given value of reactive power QrefWhen known, the voltage amplitude E corresponding to the stable working pointsAnd voltage phasesCan be expressed as:
Figure BDA0002438603920000022
where U is the grid voltage.
From the model of the virtual synchronous generator, the transfer function between its output power and input power can be found:
Figure BDA0002438603920000023
thereby, the natural oscillation angular frequency ω of the second order system model is obtainednAnd damping ratio ξ may be expressed as:
Figure BDA0002438603920000024
when designing virtual synchronous generator control, refer toThe natural oscillation frequency of the synchronous generator can determine the moment of inertia J0Then, according to the optimal damping ratio of the second-order system, ξ is taken to be 0.707, and the required damping coefficient D in the steady state can be obtained0。
(3) The magnitude of the moment of inertia J is adjusted in real time according to the change of the output angular frequency of the inverter: when the active power given value P of the virtual synchronous generator is caused by the change of the wind speedrefWhen the frequency changes or the load is switched in or out, the inverter output angular frequency of the grid-connected point of the power generation system changes, and the frequency change is characterized by damped oscillation. In the initial stage of the change of the output angular frequency of the inverter, the angular frequency change rate is larger, so that larger moment of inertia J is needed to reduce the change rate; when the angular frequency changes to the maximum value or the minimum value, the angular frequency changes towards the direction of recovering the steady-state value, and at the moment, a smaller moment of inertia J is needed, so that the recovery process of the angular frequency is accelerated until the angular frequency is recovered to the steady-state value. The angular frequency variation in the next few oscillation cycles is then similar to the first cycle. Obviously, the moment of inertia J is determined in relation to the magnitude of the angular frequency and its trend of variation. From the above analysis, the moment of inertia J can be expressed as:
Figure BDA0002438603920000031
wherein T is a threshold value of the frequency change rate,
Figure BDA0002438603920000032
k is the adjustment coefficient of the moment of inertia for the rate of change of angular frequency.
(4) The damping coefficient D is changed according to the change of the rotational inertia, and if the damping coefficient D is kept constant in the process of the change of the rotational inertia, the second-order system model of the transfer function of the virtual synchronous generator is deviated from the optimal damping ratio, so that the control effect is influenced, therefore, in order to keep ξ in the content (2) constant, the formula D is required to be given
Figure BDA0002438603920000033
It is given.
The virtual synchronous generator parameter self-adaption method for direct-drive wind power generation can be applied to a wind power generation system, the generated energy is ensured, the overshoot of frequency change is effectively reduced according to the frequency change condition, the frequency mutation is relieved, the stability of the power generation system is improved, and the method has strong practicability.
Drawings
FIG. 1 is a simplified block diagram of a direct drive wind power generation system of the present invention.
Fig. 2 is a frequency variation curve of a synchronous generator.
Fig. 3 is a control block diagram of the virtual synchronous generator.
Fig. 4 is a diagram of simulation results of system frequency variation corresponding to the embodiment of the present invention.
Fig. 5 is a graph showing simulation results of variations in the moment of inertia when J varies and D does not vary in the example of the present invention.
Fig. 6 is a graph showing simulation results of the moment of inertia variation when J and D are simultaneously varied in the example of the present invention.
FIG. 7 is a graph showing the simulation results of the variation of the damping coefficient when J and D are simultaneously varied in the example of the present invention.
Detailed Description
The method will be described in detail below in connection with simulations.
On the basis of a traditional virtual synchronous generator control method, the rotary inertia and the damping coefficient in the control method are adaptively adjusted according to an application scene, the magnitude and the variation trend of the output angular frequency of an inverter, so that the angular frequency sudden change is slowed down, the angular frequency variation magnitude is reduced, the time for restoring the angular frequency to a steady state value is shortened, and the characteristic of flexibly adjusting the control parameters of the virtual synchronous generator is fully utilized.
As shown in fig. 1, in the method of the present invention, the wind power generator is connected to the rectifying part to control the dc bus voltage to be constant. The virtual synchronous generator control strategy is applied to the inverter part, and then electric energy is transmitted to a power grid. The whole system adopts a back-to-back converter structure. And the Maximum Power Point Tracking (MPPT) control is adopted in the wind power generation process, and the magnitude of the power value is used as the given value of the virtual synchronous generator strategy. The content of the parameter self-adaptive method of the virtual synchronous generator is as follows:
(1) according to the method, the active power P and the reactive power Q of the grid-connected inverter are calculated according to the output voltage and current of the grid-connected inverter. The MPPT controls the output active power given value PrefSubtracting the active power P to obtain a power difference value delta P, and dividing the power difference value delta P by the rated angular velocity omega0And obtaining the torque difference delta T, obtaining the output angular frequency omega of the inverter through a synchronous generator rotor motion equation, and obtaining the electromotive force phase angle theta of the virtual synchronous generator by integrating the output angular frequency omega. The synchronous generator rotor equation of motion is expressed as:
Figure BDA0002438603920000041
wherein △ ω - ω0，Pm、PeRespectively represent the mechanical power and the electromagnetic power in the synchronous generator in the figure 1, and respectively correspond to the given value P of the active power in the virtual synchronous generator methodrefAnd the active power P output by the inverter.
And the reference electromotive force amplitude E of the virtual synchronous generatormThen the calculated reactive power Q and the given value Q of the reactive powerrefAnd a reference voltage UrefObtained by controlling the droop. Finally, the phase angle theta of the electromotive force and the amplitude E of the reference electromotive force are obtainedmAnd forming a voltage modulation signal to control the on-off of the inverter switch tube. The moment of inertia in the synchronous generator rotor motion equation is J, and the damping coefficient is D.
(2) Determining moment of inertia J when output angular frequency omega of inverter is stable and constant0And damping coefficient D0The virtual synchronous generator output filter impedance Z and the impedance angle α may be expressed as:
Figure BDA0002438603920000051
wherein R is the filter circuit resistance, and L is the filter circuit inductance.
At given value of active power PrefGiven value of reactive power QrefStabilizing the voltage amplitude E corresponding to the working point when the grid voltage U is knownsAnd voltage phasesCan be expressed as:
Figure BDA0002438603920000052
wherein U is the grid voltage.
From the model of the virtual synchronous generator, the transfer function between its output power and input power can be found:
Figure BDA0002438603920000053
thereby, the natural oscillation angular frequency ω of the second order system model is obtainednAnd damping ratio ξ may be expressed as:
Figure BDA0002438603920000054
when designing the virtual synchronous generator control, refer to the natural oscillation frequency of the synchronous generator in FIG. 1 and bring in the voltage amplitude EsThen the moment of inertia parameter J in steady state operation can be determined0. Calculated, in this example, J0The value is 0.8 kg.m2Then according to the optimal damping ratio of the second-order system, ξ is taken to be 0.707, and the required damping coefficient D in the steady state can be obtained0The value in this example is 23 by calculation.
(3) The magnitude of the moment of inertia J is adjusted in real time according to the change of the inverter output angular frequency omega: when the active power given value P of the virtual synchronous generator is caused by the change of the wind speedrefThe inverter output angular frequency ω will change, or when the load is switched in or out, and the frequency will change under the clamping action of the grid voltage UCharacterized by damped oscillation.
Under the stable operation condition, the angular frequency omega of the output of the inverter is stabilized at omega0. At the moment, the wind speed is suddenly increased, and the virtual synchronous generator control active power given value PrefAnd correspondingly increasing, and stabilizing the output power (active power P) of the inverter at a new active power given value after fluctuation. Correspondingly, when the active power given value changes, the process of damping oscillation also occurs in the change of the inverter output angular frequency. As shown in fig. 2, at t0-t1In the stage, the output angular frequency of the inverter is suddenly increased due to the increase of the given value of the active power. In this stage, the moment of inertia is appropriately increased, so that abrupt changes in angular frequency can be alleviated, the rate of change in angular frequency can be reduced, and the overshoot of the change in angular frequency can also be reduced. Therefore, at this time, the moment of inertia J can be set to be in accordance with the rate of change of angular frequency
Figure BDA0002438603920000061
In the formula, k is a rotational inertia adjustment coefficient, which is set to 0.04 in the example, and meanwhile, the maximum value of the rotational inertia is limited by the stability of the system, and J is less than or equal to 4.2 in the example.
At t1At the moment, when the value of the output angular frequency of the inverter reaches the maximum value, the angular frequency will enter a phase of recovering to the steady-state value, in which the value is t1-t2The period of time shows that this phase requires a smaller moment of inertia to restore the frequency at a faster rate of change, so that the moment of inertia is adjusted again to the initial value J0。
The frequency change during the next few oscillation cycles is similar to the first cycle. The threshold value for the rate of change of angular frequency is set to T, which in the example is set to 4 rad/s. At times when the rate of change of angular frequency is small, the effect of the rate of change is negligible, and therefore the moment of inertia is also set to J at these times0. Therefore, in summary of the above analysis, the moment of inertia J can be expressed as:
Figure BDA0002438603920000062
(4) the damping coefficient D is changed according to the change of the rotational inertia, and if the damping coefficient D is kept constant in the process of the change of the rotational inertia, the second-order system model of the transfer function of the virtual synchronous generator is deviated from the optimal damping ratio, so that the control effect is influenced, therefore, in order to keep ξ in the content (2) constant, the formula D is required to be given
Figure BDA0002438603920000071
Give out, order
Figure BDA0002438603920000072
Then
Figure BDA0002438603920000073
The improved control block diagram of the virtual synchronous generator is shown in fig. 3.
The present invention will be explained below based on simulation results.
A simulation platform is built in MAT L AB/simulink software, and a simulation model comprises a direct-drive permanent magnet synchronous wind driven generator, a back-to-back converter, a filter circuit and a power grid.
And respectively carrying out simulation under the conditions that the rotary inertia J of the virtual synchronous generator is constant, the rotary inertia is adaptively changed, and the rotary inertia and the damping coefficient are simultaneously changed. And the simulation starts to operate at a constant wind speed, the wind speed is suddenly increased at 0.8s, and the given value of the active power of the virtual synchronous generator is increased.
As shown in fig. 4, when the angular frequency of the inverter is adaptively changed, the maximum change amount of the angular frequency is reduced and the change speed of the angular frequency is slowed down, compared to the constant moment of inertia. And under the control strategy that the rotational inertia and the damping coefficient are changed simultaneously, the maximum frequency variation is further reduced, so that the frequency adjusting effect is optimized.
Therefore, the virtual synchronous generator parameter self-adaption method for direct-drive wind power generation provided by the invention can be applied to a wind power generation system, and can effectively reduce the overshoot of frequency change, relieve the frequency mutation and improve the stability of the power generation system according to the frequency change condition while ensuring the power generation capacity.

Claims (3)

1. A virtual synchronous generator parameter self-adaptive method for direct-drive wind power generation is based on a synchronous generator rotor motion equation adopted in a virtual synchronous generator control method and expressed as follows:
Figure FDA0002438603910000011
wherein △ ω - ω0ω is the inverter output angular frequency, ω0Is a rated angular velocity, J is a moment of inertia, D is a damping coefficient, Pm、PeRespectively representing mechanical power and electromagnetic power in the synchronous generator, and respectively corresponding to an active power given value P in the virtual synchronous generator methodrefAnd active power P output by the inverter, characterized in that: according to the magnitude and the variation trend of the output angular frequency of the inverter, the rotational inertia and the damping coefficient in the control method are subjected to self-adaptive adjustment;
adjusting the magnitude of the moment of inertia J in real time according to the change of the angular frequency, wherein the moment of inertia J is expressed as:
Figure FDA0002438603910000012
wherein T is a threshold value of the angular frequency change rate,
Figure FDA0002438603910000013
is the rate of change of angular frequency, k is the coefficient of adjustment of the moment of inertia, J0The moment of inertia when the angular frequency of the output of the inverter is stable and unchanged; given formula of damping coefficient D
Figure FDA0002438603910000014
It is given.
2. A method as claimed in claim 1The virtual synchronous generator parameter self-adaption method for direct-drive wind power generation is characterized by comprising the following steps of: the control method of the virtual synchronous generator comprises the following steps: calculating active power P and reactive power Q of the grid-connected inverter according to the voltage and current output by the grid-connected inverter; the power output by the maximum power tracking control of the wind driven generator is used as the active power given value P of the virtual synchronous generatorrefObtaining the output angular velocity omega of the inverter through a synchronous generator rotor motion equation, and obtaining the electromotive force phase angle theta of the virtual synchronous generator by integrating the output angular velocity omega; amplitude E of reference electromotive force of virtual synchronous generatormIs determined from the calculated reactive power Q, the given reference power QrefAnd a reference voltage UrefObtaining the product through droop control; finally, the amplitude E of the reference electromotive force is obtainedmAnd the electromotive force phase angle theta forms a voltage modulation signal to control the on-off of the inverter switching tube.
3. The virtual synchronous generator parameter adaptation method for direct drive wind power generation according to claim 1 or 2, characterized by: determining the moment of inertia J when the output angular frequency of the inverter is stable and unchanged0The process of (2) is that the virtual synchronous generator output filter impedance Z and the impedance angle α can be expressed as:
Figure FDA0002438603910000021
wherein R is the resistance of the filter circuit, L is the inductance of the filter circuit, and the given value P of the active power isrefAnd given value of reactive power QrefWhen known, the voltage amplitude E corresponding to the stable working pointsAnd voltage phasesCan be expressed as:
Figure FDA0002438603910000022
in the formula, U is the voltage of a power grid;
according to the model of the virtual synchronous generator, obtaining a transfer function between the output power and the input power of the virtual synchronous generator:
Figure FDA0002438603910000023
thereby, the natural oscillation angular frequency ω of the second order system model is obtainednExpressed as:
Figure FDA0002438603910000024
when designing virtual synchronous generator control, the control parameter J can be determined by referring to the natural oscillation frequency of the synchronous generator0。
CN202010259086.5A 2020-04-03 2020-04-03 Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation Active CN111446741B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010259086.5A CN111446741B (en) 2020-04-03 2020-04-03 Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010259086.5A CN111446741B (en) 2020-04-03 2020-04-03 Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation

Publications (2)

Publication Number Publication Date
CN111446741A true CN111446741A (en) 2020-07-24
CN111446741B CN111446741B (en) 2022-05-24

Family

ID=71654803

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010259086.5A Active CN111446741B (en) 2020-04-03 2020-04-03 Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation

Country Status (1)

Country Link
CN (1) CN111446741B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112003323A (en) * 2020-08-21 2020-11-27 西安热工研究院有限公司 Method for improving wind power grid-connected primary frequency modulation performance by using self-adaptive virtual parameters
CN117394432A (en) * 2023-10-24 2024-01-12 兰州理工大学 Multi-parameter self-adaptive cooperative control method for virtual synchronous generator

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140067138A1 (en) * 2011-02-28 2014-03-06 Abengoa Solar New Technologies, S.A. Virtual controller of electromechanical characteristics for static power converters
CN107332275A (en) * 2017-08-15 2017-11-07 东南大学 A kind of cooperative self-adapted control method of virtual synchronous generator rotary inertia and damped coefficient
CN107465189A (en) * 2017-08-21 2017-12-12 上海电力学院 Virtual synchronous generator control method based on adaptive rotary inertia
CN108418256A (en) * 2018-03-13 2018-08-17 西安理工大学 A kind of virtual synchronous machine self-adaptation control method based on output Derivative Feedback
CN109256801A (en) * 2018-09-28 2019-01-22 东北大学 The virtual inertia of virtual synchronous generator and automatic virtual blocks coefficient self-adaptation control method
CN109698522A (en) * 2019-02-28 2019-04-30 太原理工大学 A kind of DFIG of rotor kinetic energy optimal utilization participates in the control method of frequency modulation
CN109861279A (en) * 2019-01-24 2019-06-07 太原理工大学 A kind of rotary inertia self-adaptation control method suitable for virtual synchronous generator
CN110474347A (en) * 2019-08-09 2019-11-19 上海电机学院 A kind of two-parameter self-adaptation control method of virtual synchronous generator

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140067138A1 (en) * 2011-02-28 2014-03-06 Abengoa Solar New Technologies, S.A. Virtual controller of electromechanical characteristics for static power converters
CN107332275A (en) * 2017-08-15 2017-11-07 东南大学 A kind of cooperative self-adapted control method of virtual synchronous generator rotary inertia and damped coefficient
CN107465189A (en) * 2017-08-21 2017-12-12 上海电力学院 Virtual synchronous generator control method based on adaptive rotary inertia
CN108418256A (en) * 2018-03-13 2018-08-17 西安理工大学 A kind of virtual synchronous machine self-adaptation control method based on output Derivative Feedback
CN109256801A (en) * 2018-09-28 2019-01-22 东北大学 The virtual inertia of virtual synchronous generator and automatic virtual blocks coefficient self-adaptation control method
CN109861279A (en) * 2019-01-24 2019-06-07 太原理工大学 A kind of rotary inertia self-adaptation control method suitable for virtual synchronous generator
CN109698522A (en) * 2019-02-28 2019-04-30 太原理工大学 A kind of DFIG of rotor kinetic energy optimal utilization participates in the control method of frequency modulation
CN110474347A (en) * 2019-08-09 2019-11-19 上海电机学院 A kind of two-parameter self-adaptation control method of virtual synchronous generator

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
SHUO LIANG 等: ""Adaptive Damping Factor Control Strategy of Inverter Interfaced Distributed Generators Based on Virtual Synchronous Generator Technology"", 《 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON)》 *
TIANYANG LI 等: ""A Self-Adaptive Damping Control Strategy of Virtual Synchronous Generator to Improve Frequency Stability"", 《PROCESS》 *
李东东 等: ""基于自适应惯量阻尼综合控制算法的虚拟同步发电机控制策略"", 《电力自动化设备》 *
殷桂梁 等: ""光伏微网中虚拟同步发电机参数自适应控制策略"", 《电网技术》 *
章伟明 等: ""孤岛模式自适应转动惯量VSG逆变电源控制策略"", 《电力系统及其自动化学报》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112003323A (en) * 2020-08-21 2020-11-27 西安热工研究院有限公司 Method for improving wind power grid-connected primary frequency modulation performance by using self-adaptive virtual parameters
CN112003323B (en) * 2020-08-21 2023-05-02 西安热工研究院有限公司 Method for improving wind power grid-connected primary frequency modulation performance by utilizing self-adaptive virtual parameters
CN117394432A (en) * 2023-10-24 2024-01-12 兰州理工大学 Multi-parameter self-adaptive cooperative control method for virtual synchronous generator
CN117394432B (en) * 2023-10-24 2024-05-28 兰州理工大学 Multi-parameter self-adaptive cooperative control method for virtual synchronous generator

Also Published As

Publication number Publication date
CN111446741B (en) 2022-05-24

Similar Documents

Publication Publication Date Title
CN111277001B (en) Fan grid-connected control method based on virtual synchronous generator parameter adaptive control
CN109256801B (en) Virtual inertia and virtual damping coefficient self-adaptive control method for virtual synchronous generator
US20220316443A1 (en) Fast Frequency Support from Wind Turbine Systems
CN107968589B (en) Self-adaptive damping control method of virtual synchronous generator
KR20190127913A (en) Method for Powering the Power Supply Network
CN109193797B (en) Inertia matching method and control system based on synchronous generator and virtual synchronous generator parallel microgrid
CN108429289A (en) A kind of control method and system based on virtual synchronous generator
CN111446741B (en) Virtual synchronous generator parameter self-adaption method for direct-drive wind power generation
CN108448607A (en) A kind of micro-capacitance sensor battery energy storage system and off-network switching method and apparatus
WO2022198764A1 (en) Control method and system for offshore wind power grid-connected system
CN109193778A (en) A kind of inertia response revolving speed recovery control method based on the estimation of wind power
CN110365051A (en) A kind of virtual synchronous motor control method of adaptive instruction filtering inverting
CN114256867A (en) Permanent magnet direct-drive wind power grid type control method based on inertia adaptive adjustment
CN116247750A (en) Inertia and damping self-adaptive VSG control method
CN115102188A (en) VSG inertia and damping self-adaptive control method, system and computer readable medium
CN109755968B (en) Neural network performance-preserving virtual synchronous control method for double-fed wind turbine generator
CN111525564A (en) Control system and method for restraining power grid power oscillation based on photovoltaic power generation system
CN116632866B (en) Hybrid energy storage self-adaptive inertia VSG control method for liquid flow super-capacity lithium battery
Fdaili et al. Control and optimization of a wind energy conversion system based on doubly-fed induction generator using nonlinear control strategies
CN109004680B (en) Wind power plant power control method and system based on energy storage inverter
Diab et al. Fuzzy-based Adaptive Sliding Mode Control for a Direct-Driven PMSG Wind Energy System
CN110224415B (en) Self-adaptive error-free frequency modulation control method for micro-grid virtual synchronous machine
CN114665503A (en) Grid-connected inverter frequency control method based on direct frequency change rate control
CN107332279B (en) VSG operation mode switching control method
Leily et al. Novel sliding mode controller for power control of a doubly fed induction generator in variable speed wind turbine

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
GR01 Patent grant
GR01 Patent grant