CN113131526A - Static stability control method for wind-fire bundling system with virtual inertia control - Google Patents

Static stability control method for wind-fire bundling system with virtual inertia control Download PDF

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CN113131526A
CN113131526A CN202110372360.4A CN202110372360A CN113131526A CN 113131526 A CN113131526 A CN 113131526A CN 202110372360 A CN202110372360 A CN 202110372360A CN 113131526 A CN113131526 A CN 113131526A
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wind
virtual inertia
power
control
inertia control
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李泽卿
李征
陈岩
李�瑞
史立烨
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Xingtai Power Supply Co of State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Hebei Electric Power Co Ltd
Xingtai Power Supply Co of State Grid Hebei Electric Power Co Ltd
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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
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • 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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • 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
    • H02J3/241—The oscillation concerning frequency
    • 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
    • H02J3/38—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
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00—Integration of renewable energy sources in buildings
    • Y02B10/30—Wind power
    • 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

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Abstract

The invention discloses a static stability control method for a wind fire bundling system with virtual inertia control, which comprises the following steps: step S1, constructing a wind-fire bundling delivery system, and researching the stability mechanism of the wind-fire bundling system; step S2, establishing a virtual inertia control model according to the DFIG basic topology containing the virtual inertia control; step S3, building a power grid simulation model, and analyzing the voltage stability of the power grid simulation model; and step S4, drawing power-voltage curves before and after the wind power plant group plus the virtual inertia control, and calculating the sensitivity before and after the wind power plant group plus the virtual inertia control. On the basis of the basic principle of virtual inertia control of the doubly-fed wind turbine generator, a mathematical model of the DFIG controlled by virtual inertia is established, the influence of additional virtual inertia control on the stability of the wind-fire bundling and delivering system is researched, simulation analysis is carried out through DlgSI-LENT software, and it is verified that when the virtual inertia control is added into the wind-fire bundling and delivering system, the power margin of the system can be effectively improved and the sensitivity is reduced.

Description

Static stability control method for wind-fire bundling system with virtual inertia control
Technical Field
The invention relates to a static stability control method for a wind-fire bundling system with virtual inertia control, and belongs to the technical field of wind power plant group control.
Background
In order to effectively relieve the problems of energy supply and demand pressure and environmental pollution, China vigorously promotes the construction of renewable energy sources. Because wind power generation is one of the most mature and economic green electric powers in renewable energy utilization, the proportion of the wind power generation in the power grid in China increases year by year. At present, two kinds of domestic wind and fire resources are overlapped and spread in underloaded areas such as northwest, northeast and northeast, the occupied ratio is over fifty percent, otherwise, the load of China reversely gathers in southeast coastal areas such as China and east China, which are dense in population and prosperous in economy, and in addition, the local wind resource cannot be consumed on the spot, so that the west electricity is needed to send the east. "wind fire is beaten bundle" long distance and is sent outward and not only guarantee to improve the utilization ratio of wind resource and the steady of transmission power, can improve system transport capacity moreover by a wide margin, but simultaneously because wind-powered electricity and thermoelectricity intrinsic characteristic are different, and the requirement to transmission of electricity technique, safety and stability control is more strict.
When the wind power is intensively connected with the power grid in a large scale, the inertia of the whole system is lowered, so that the anti-interference capability of the system is deteriorated, the total inertia of the system is insufficient, and the instability is caused. When the proportion of the wind turbine generator in the grid-connected system is large, the inertia of the system is relatively reduced, so that the anti-interference capability of the whole system is poor, and the stability of the system is weakened. Therefore, to ensure system stability, it is necessary to provide inertia support. At present, the theory and practical application of virtual inertia in a micro-grid and a local power grid are wide, but no relevant research is available for improving the stability of a wind fire bundling system through virtual inertia control.
Therefore, the virtual inertia control and manned wind fire bundling system is provided, and the static stability of the system is improved.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a static stability control method of a wind-fire bundling system with virtual inertia control, which is characterized in that a mathematical model of a DFIG (doubly-fed induction generator) controlled by virtual inertia is established on the basis of the basic principle of virtual inertia control of a doubly-fed wind turbine generator, the influence of additional virtual inertia control on the stability of the wind-fire bundling delivery system is researched, and simulation analysis is carried out through DlgSI-LENT software, so that when the virtual inertia control is added into the wind-fire bundling delivery system, the power margin of the system can be effectively improved, and the sensitivity is reduced.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
a static stability control method for a wind fire bundling system with virtual inertia control comprises the following steps:
step S1, constructing a wind-fire bundling delivery system by using DIgSILENT/PowerFactory electric simulation software, and researching the stability mechanism of the wind-fire bundling system;
step S2, establishing a virtual inertia control model according to the DFIG basic topology containing the virtual inertia control, and carrying out the virtual inertia control strategy research of the doubly-fed wind turbine generator;
step S3, building a power grid simulation model by using DIgSILENT simulation software, and analyzing the voltage stability of the power grid simulation model;
and step S4, respectively drawing power-voltage curves before and after the wind power plant group plus the virtual inertia control by using DlgSILENT, and calculating the sensitivity before and after the wind power plant group plus the virtual inertia control.
As a further improvement of the invention, in the wind-fire bundling delivery system, a synchronous machine G1 and a double-fed machine G2 are respectively merged into a PCC bus 3 through buses 1 and 2 and then are connected to a receiving-end power grid;
wind-fire bundling and outward-conveying system actual active power PDAnd reactive QDThe equation is
Figure BDA0003009785420000021
In the formula Vs、θsThe terminal voltage and the phase angle of the fan are shown; v3、θ3The voltage and phase angle of the grid-connected point are shown;
the active power P of the synchronous machine can be obtained by the same waySGAnd QSGEquation of reactive power of
Figure BDA0003009785420000022
In the formula E1、δ1The nodes and power angles in the synchronous machine are set;
active power P of receiving end bus4And reactive Q4The power equation is
Figure BDA0003009785420000031
In the formula, E4、δ4The grid-connected point bus and the power angle;
by neglecting the voltage change, the power equations (1) - (3) can be linearized
Figure BDA0003009785420000032
Figure BDA0003009785420000033
Figure BDA0003009785420000034
Wherein: delta thetas、△θ3The variation of terminal voltage phase angle of fan and grid-connected point, delta1Is the variation of the power angle of the synchronous machine, and s is the slip ratio;
according to the system power balance
Figure BDA0003009785420000041
The total power Psys equation of the wind-fire bundling delivery system is as follows
Psys＝E4E1B41sin(δ1-δ4)+E1VsB12sin(δ1-θs) (8)
In the formula: b is41、B12Respectively, the synchronous machine and receiving end power grid and the fan and PCC bus.
As a further improvement, through the analysis of the formula (8), when large-scale wind power is connected to the grid, the voltage of a receiving end point is gradually reduced along with the active power increase of a wind power plant, when the active power output of a fan is high, the voltage of a system gradually slides down, the phenomena that the sensitivity of reactive voltage of a part of power grid is increased, the active margin is reduced occur, and the voltage reaches a static stability threshold value in emergency, so that the static voltage is unstable.
As a further improvement of the invention, the virtual inertia control comprises a main circuit and a controller;
the main circuit is a grid-connected inverter topology and comprises a direct-current voltage source, an alternating-current/direct-current converter and a filter circuit, and the main circuit simulates the electromagnetic relation and mechanical motion of a synchronous machine from the mechanism;
the controller is the focus of inertia control, comprises a basic control principle and a basic control method, and imitates the power voltage regulation characteristic of a synchronous machine from the mechanical characteristic.
As a further improvement of the invention, the virtual inertia control imitates the inertia response of the synchronous machine, and when the system is disturbed, the virtual inertia control releases kinetic energy stored in the fan and the generator rotor within a few seconds;
when the rotation speed is omega0Time, initial kinetic energy E of synchronous machine rotork0Is composed of
Figure BDA0003009785420000042
In the formula: j. the design is a squareGFor the moment of inertia of the synchronous machine, when the rotor speed is from ω0To omega1Kinetic energy delta E released by the rotor of a synchronous machinek
Is composed of
Figure BDA0003009785420000043
So that the change delta P of the output electromagnetic power of the synchronous machine caused by changing the rotating speed of the fan is
Figure BDA0003009785420000044
Therefore, when the double-fed wind turbine generator is changed to transmit electromagnetic power according to the mode, the inertia response characteristic as that of a synchronous machine is imitated, the supply support of system power is provided, the rotating speed range of the double-fed wind turbine generator is 0.8 p.u-1.2 p.u., and 56% of rotor kinetic energy can be supplied at maximum by changing the rotating speed;
when the transmission power variation of the double-fed wind turbine generator is different, the virtual moment of inertia with different values can be obtained, and the mechanical characteristics of the shafting of the wind turbine can be known
Figure BDA0003009785420000051
Thus, the change in transmitted power on the shafting can be expressed as
Figure BDA0003009785420000052
As a further improvement of the invention, in the virtual inertia control model, a signal obtained by inputting a human by an additional virtual inertia controller of the doubly-fed wind turbine generator is a frequency change rate d Δ f/dt, and an additional active control signal generated by virtual inertia control is
Figure BDA0003009785420000053
Where K is the virtual inertia control gain.
As a further improvement of the invention, the fan rapidly adjusts the electromagnetic power according to the frequency change rate, bears partial unbalanced power of the system, and can improve the inertia support of the system, and the inertia support of the system is larger along with the increase of the control gain ruler; therefore, the rotor motion equation of the doubly-fed wind turbine generator under virtual inertia control is as follows:
Figure BDA0003009785420000054
the equivalent inertia J virtualized from the change of the double-fed wind turbine generator system relative to the system frequency can be obtained from the formulavirCan be expressed as
Figure BDA0003009785420000055
In the formula, ωeAngular velocity corresponding to the system frequency; j. the design is a squarew、JvirThe method is characterized in that the doubly-fed wind turbine generator set has own moment of inertia and virtual moment of inertia, and lambda is d omegar/ωeIs the inertia proportionality coefficient;
therefore, after the system frequency is disturbed, when the output power variation quantity delta P of the fan is different, virtual rotational inertia with different sizes, namely a system inertia proportionality coefficient lambda, is also changed; therefore, the doubly-fed wind turbine generator is regarded as a synchronous machine with adjustable inertia, and the virtual inertia and lambda relate to the self-inertia Jw。
As a further improvement of the method, the power grid simulation model utilizes DIgSILENT simulation software to build a simulation model comprising 3 wind power plant groups, 1 thermal power plant group, a +/-800 kV high-voltage direct-current transmission system, a 750kV alternating-current transmission system and local areas thereof, and the voltage stability is analyzed;
firstly, calculating through tidal current, wherein the total active power output of regional wind power, the active power output of each of the A region, the B region and the C region, the active power output and the reactive power output of a thermal power plant positioned on a bus of a converter station, and the transmission power and current of a direct current transmission line are obtained;
secondly, the voltage limits and active and reactive margin curves of the buses of the three wind power plant groups are drawn by using DlgSILENT software, the active/reactive power and voltage values of 750kV buses of 3 wind power plant groups are respectively obtained, and a P-V curve and a Q-V curve are drawn.
As a further improvement of the method, the influence of the virtual inertia control support on the voltage stability of the wind-fire bundling system is analyzed through the comparison of the P-V curve and the sensitivity, when three wind power plant groups are supported by the virtual inertia control, the active power limit of a bus is enhanced, the static stability limit of the wind power plant groups is improved by adding the virtual inertia control, and the system stability is optimized.
As a further improvement of the method, the state analysis before and after the virtual inertia control is added to the three wind power plant groups is compared, and the active reactive power-voltage sensitivity of the three wind power plant groups is reduced after the virtual inertia control support is added.
Adopt the produced beneficial effect of above-mentioned technical scheme to lie in:
the invention researches the voltage stability of the wind-fire bundling and delivering system based on virtual inertia control, and improves the voltage stability of the system by utilizing the adjustment of a virtual inertia control technology. Through some simulation verification before and after the region modeling and the human virtual inertia control, the following conclusion is obtained:
1) firstly, carrying out load flow calculation on a power grid in the area A to obtain three wind power plant group electricity high penetration areas, wherein although the wind power transmission capacity is large, the active margin is the lowest.
2) Secondly, after the control of the virtual inertia is added, the static stability limits of the three wind power plant groups are respectively increased from 2641MW, 1803MW and 440MW to 2741MW, 1880MW and 490 MW. It can be seen that the virtual inertia control can raise the system quiescent voltage stability limit.
3) Finally, sensitivity simulation verification shows that the sensitivity of three Hami wind power plant groups can be reduced after human virtual inertia control is added, so that the voltage stability of the system is further improved.
4) In a micro-grid and a local power grid, virtual inertia is introduced into new energy to reflect the external operation characteristics of inertia, damping, frequency modulation, voltage regulation and the like of a synchronous generator, so that the safety and stability level of high-proportion access of the new energy to the power grid is improved.
Therefore, support is provided for the functional knowledge of the virtual inertia and the specific application of the virtual inertia in a large power grid to develop targeted deep human analysis research.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a schematic diagram of an air-fire bundling delivery system architecture;
FIG. 2 is a basic topology diagram of a doubly-fed machine with virtual inertia control;
FIG. 3 is a diagram of a virtual inertia control architecture;
FIG. 4 is a schematic diagram of an embodiment grid architecture;
FIG. 5 is a P-V curve of three wind zone integrated buses;
FIG. 6 is a Q-V curve for three wind zone integrated buses;
FIG. 7 is a voltage limit before and after the region B adds virtual inertia;
FIG. 8 is a voltage limit before and after adding virtual inertia for zone A;
FIG. 9 is a voltage limit before and after adding virtual inertia for zone C;
FIG. 10 is a sensitivity comparison of three zones α v/α P before and after adding virtual inertial control;
FIG. 11 is a sensitivity comparison of three zones α v/α Q before and after adding virtual inertial control.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
A static stability control method for a wind fire bundling system with virtual inertia control comprises the following steps:
step S1, constructing a wind-fire bundling delivery system by using DIgSILENT/PowerFactory electric simulation software, and researching the stability mechanism of the wind-fire bundling system;
step S2, establishing a virtual inertia control model according to the DFIG basic topology containing the virtual inertia control, and carrying out the virtual inertia control strategy research of the doubly-fed wind turbine generator;
step S3, building a power grid simulation model by using DIgSILENT simulation software, and analyzing the voltage stability of the power grid simulation model;
and step S4, respectively drawing power-voltage curves before and after the wind power plant group plus the virtual inertia control by using DlgSILENT, and calculating the sensitivity before and after the wind power plant group plus the virtual inertia control.
Specifically, in the wind-fire bundling and outward conveying system, a synchronous machine G1 and a double-fed machine G2 are respectively merged into a PCC bus 3 through buses 1 and 2 and then are connected to a receiving-end power grid;
as shown in figure 1, the actual active power P of the wind fire bundling and delivering systemDAnd reactive QDThe equation is
Figure BDA0003009785420000081
In the formula Vs、θsThe terminal voltage and the phase angle of the fan are shown; v3、θ3The voltage and phase angle of the grid-connected point are shown; x is the number of∑2Is the sum of the resistances of line L2 in fig. 1;
the active power P of the synchronous machine can be obtained by the same waySGAnd QSGEquation of reactive power of
Figure BDA0003009785420000082
In the formula E1、δ1The nodes and power angles in the synchronous machine are set; x is the number of∑1Is the sum of the resistances of line L1 in fig. 1;
active power P of receiving end bus4And reactive Q4The power equation is
Figure BDA0003009785420000091
In the formula, E4、δ4The grid-connected point bus and the power angle; x is the number of∑4Is the sum of the resistances of line L4 in fig. 1;
by neglecting the voltage change, the power equations (1) - (3) can be linearized
Figure BDA0003009785420000092
Figure BDA0003009785420000093
Figure BDA0003009785420000094
Wherein: delta thetas、△θ3The variation of terminal voltage phase angle of fan and grid-connected point, delta1Is the variation of the power angle of the synchronous machine, and s is the slip ratio;
according to the system power balance
Figure BDA0003009785420000101
Total power P of wind-fire bundling delivery systemsysThe equation is
Psys＝E4E1B41sin(δ1-δ4)+ElVsB12sin(δ1-θs) (8)
In the formula: b is41、B12Respectively, the synchronous machine and receiving end power grid and the fan and PCC bus.
Specifically, through analysis of the formula (8), when large-scale wind power is connected to the grid, the voltage of a receiving end point is gradually reduced along with the active power increase of a wind power plant, when the active power output of a fan is high, the voltage of a system gradually slides down, partial reactive voltage sensitivity of a power grid is increased, the active power margin is reduced, and the voltage reaches a static stability threshold value in critical time, so that the static voltage is unstable.
Specifically, a basic topology of a DFIG (doubly-fed wind turbine generator) with virtual inertia control is shown in fig. 2. The virtual inertia control comprises a main circuit and a controller;
the main circuit is a grid-connected inverter topology and comprises a direct-current voltage source, an alternating-current/direct-current converter and a filter circuit, and the main circuit simulates the electromagnetic relation and mechanical motion of a synchronous machine from the mechanism;
the controller is the focus of inertia control, comprises a basic control principle and a basic control method, and imitates the power voltage regulation characteristic of a synchronous machine from the mechanical characteristic.
Specifically, the virtual inertia control imitates the inertia response of a synchronous machine, and releases kinetic energy stored in a fan and a generator rotor within a few seconds when the system is disturbed;
when the rotation speed is omega0Time, initial kinetic energy E of synchronous machine rotork0Is composed of
Figure BDA0003009785420000102
In the formula: j. the design is a squareGFor the moment of inertia of the synchronous machine, when the rotor speed is from ω0To omega1Kinetic energy delta E released by the rotor of a synchronous machinekIs composed of
Figure BDA0003009785420000103
So that the change delta P of the output electromagnetic power of the synchronous machine caused by changing the rotating speed of the fan is
Figure BDA0003009785420000111
Therefore, when the double-fed wind turbine generator is changed to transmit electromagnetic power according to the mode, the inertia response characteristic as that of a synchronous machine is imitated, the supply support of system power is provided, the rotating speed range of the double-fed wind turbine generator is 0.8 p.u-1.2 p.u., and 56% of rotor kinetic energy can be supplied at maximum by changing the rotating speed;
when the transmission power variation of the double-fed wind turbine generator is different, the virtual moment of inertia with different values can be obtained, and the mechanical characteristics of the shafting of the wind turbine can be known
Figure BDA0003009785420000112
Thus, the change in transmitted power on the shafting can be expressed as
Figure BDA0003009785420000113
Specifically, as shown in fig. 3, in the virtual inertia control model, the signal output by the additional virtual inertia controller of the doubly-fed wind turbine generator is a frequency change rate d Δ f/dt, and the additional active control signal generated by the virtual inertia control is
Figure BDA0003009785420000114
Where K is the virtual inertia control gain.
Specifically, the fan rapidly adjusts electromagnetic power according to the frequency change rate, bears partial unbalanced power of the system, and can improve inertia support for the system, and the inertia support possessed by the system is larger along with the increase of the control gain ruler; therefore, the rotor motion equation of the doubly-fed wind turbine generator under virtual inertia control is as follows:
Figure BDA0003009785420000115
the equivalent inertia J virtualized from the change of the double-fed wind turbine generator system relative to the system frequency can be obtained from the formulavirCan be expressed as
Figure BDA0003009785420000121
In the formula, ωeAngular velocity corresponding to the system frequency; j. the design is a squarew、JvirThe method is characterized in that the doubly-fed wind turbine generator set has own moment of inertia and virtual moment of inertia, and lambda is d omegar/ωeIs the inertia proportionality coefficient;
therefore, after the system frequency is disturbed, when the output power variation quantity delta P of the fan is different, virtual rotational inertia with different sizes, namely a system inertia proportionality coefficient lambda, is also changed; therefore, the doubly-fed wind turbine generator is regarded as a synchronous machine with adjustable inertia, and the virtual inertia and lambda relate to the self-inertia Jw。
Specifically, as shown in fig. 4, the power grid simulation model utilizes DIgSILENT simulation software to build a simulation model including 3 wind power plant groups, 1 thermal power plant group, a ± 800kV high-voltage direct-current transmission system, a 750kV alternating-current transmission system and local areas thereof, and analyzes the voltage stability;
firstly, calculating through tidal current, wherein the total active power output of regional wind power, the active power output of each of the A region, the B region and the C region, the active power output and the reactive power output of a thermal power plant positioned on a bus of a converter station, and the transmission power and current of a direct current transmission line are obtained;
secondly, the voltage limits and active and reactive margin curves of the buses of the three wind power plant groups are drawn by using DlgSILENT software, the active/reactive power and the voltage value of the 750kV buses of the 3 wind power plant groups are respectively obtained, and a P-V curve shown in figure 5 and a Q-V curve shown in figure 6 are drawn.
Specifically, the influence of the virtual inertia control support on the voltage stability of the wind-fire bundling system is analyzed through the P-V curves and sensitivity comparison shown in fig. 7-9, when three wind farm groups are supported by the virtual inertia control, the active power limit of the bus is enhanced, the voltage stability limit of the B area is 2641MW, and the increase is close to 100 MW. The voltage stability limits of zone C and zone a are 1803MW and 440MW, respectively, and after adding the virtual inertia control, 1880MW and 490MW, respectively. Therefore, the static stability limit of the wind power plant group is obviously improved by adding the virtual inertia control, and the stability of the system is optimized.
Specifically, as shown in fig. 10 and 11, comparing the state analysis before and after the virtual inertia control is added to the three wind farm groups, it can be known that the active reactive power-voltage sensitivity of the three wind farm groups is reduced after the virtual inertia control support is added. Therefore, the virtual inertia control not only improves the system voltage limit, but also improves the system sensitivity and improves the grid voltage stability. Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; it is obvious as a person skilled in the art to combine several aspects of the invention. And such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A static stability control method for a wind fire bundling system with virtual inertia control is characterized by comprising the following steps:
step S1, constructing a wind-fire bundling delivery system by using DIgSILENT/PowerFactory electric simulation software, and researching the stability mechanism of the wind-fire bundling system;
step S2, establishing a virtual inertia control model according to the DFIG basic topology containing the virtual inertia control, and carrying out the virtual inertia control strategy research of the doubly-fed wind turbine generator;
step S3, building a power grid simulation model by using DIgSILENT simulation software, and analyzing the voltage stability of the power grid simulation model;
and step S4, respectively drawing power-voltage curves before and after the wind power plant group plus the virtual inertia control by using DlgSILENT, and calculating the sensitivity before and after the wind power plant group plus the virtual inertia control.
2. The static stability control method of the wind-fire bundling system with virtual inertia control according to claim 1, wherein in the wind-fire bundling outgoing system, a synchronous machine G1 and a double-fed machine G2 are merged into a PCC bus 3 through buses 1 and 2, respectively, and then are connected to a receiving-end power grid.
3. The method for controlling the static stability of the wind-fire bundling system with the virtual inertia according to claim 2, wherein when large-scale wind power is connected to the grid, the voltage of a receiving end point is gradually reduced along with the increase of the active power of a wind power plant, when the active power of a fan is high, the voltage of the system gradually slides down, partial reactive voltage sensitivity of the power grid is increased, the active margin is reduced, and the voltage reaches a static stability threshold value in case of emergency, so that the static voltage is unstable.
4. The method for controlling the static stability of the wind-fire bundling system with the virtual inertia control according to claim 3, wherein the virtual inertia control comprises a main circuit and a controller;
the main circuit is a grid-connected inverter topology and comprises a direct-current voltage source, an alternating-current/direct-current converter and a filter circuit, and the main circuit simulates the electromagnetic relation and mechanical motion of a synchronous machine from the mechanism;
the controller is the focus of inertia control, comprises a basic control principle and a basic control method, and imitates the power voltage regulation characteristic of a synchronous machine from the mechanical characteristic.
5. The method for controlling the static stability of the wind-fire bundling system with the virtual inertia according to claim 4, wherein the virtual inertia control imitates the inertia response of a synchronous machine, and releases the kinetic energy stored in the rotor of the wind turbine and the generator within 5 seconds when the system is disturbed;
when the doubly-fed wind turbine generator is changed to transmit electromagnetic power according to the mode, the inertia response characteristic as the synchronous machine is imitated, the supply support of system power is provided, the rotating speed range of the doubly-fed wind turbine generator is 0.8 p.u-1.2 p.u., and 56% of rotor kinetic energy is supplied at maximum by changing the rotating speed.
6. The method for controlling the static stability of the wind-fire bundling system with the virtual inertia according to claim 5, wherein in the virtual inertia control model, the signal output by the additional virtual inertia controller of the doubly-fed wind turbine generator is the frequency change rate d Δ f/dt, and the additional active control signal generated by the virtual inertia control is
Figure FDA0003009785410000021
Where K is the virtual inertia control gain.
7. The method for controlling the static stability of the wind fire bundling system with the virtual inertia according to claim 6, wherein the fan rapidly adjusts the electromagnetic power according to the frequency change rate, bears the unbalanced power of the system part, and can improve the inertia support of the system, and the larger the inertia support of the system is as the control gain ruler is increased
After the system frequency is disturbed, when the output power variation quantity delta P of the fan is different, virtual rotary inertia with different sizes is equivalent, namely the inertia proportionality coefficient lambda of the system is also changed; therefore, the doubly-fed wind turbine generator is regarded as a synchronous machine with adjustable inertia, and the virtual inertia and lambda relate to the self-inertia Jw。
8. The static stability control method of the wind-fire bundling system with the virtual inertia control according to claim 7, wherein the power grid simulation model builds a simulation model comprising 3 wind power plant groups, 1 thermal power plant group, a plus or minus 800kV high-voltage direct-current transmission system, a 750kV alternating-current transmission system and local areas thereof by using DIgSILENT simulation software, and analyzes the voltage stability; firstly, calculating through tidal current, wherein the total active power output of regional wind power, the active power output of each of the A region, the B region and the C region, the active power output and the reactive power output of a thermal power plant positioned on a bus of a converter station, and the transmission power and current of a direct current transmission line are obtained;
secondly, the voltage limits and active and reactive margin curves of the buses of the three wind power plant groups are drawn by using DlgSILENT software, the active/reactive power and voltage values of 750kV buses of 3 wind power plant groups are respectively obtained, and a P-V curve and a Q-V curve are drawn.
9. The method for controlling the static stability of the wind fire bundling system with the virtual inertia control according to claim 8, wherein the influence of the virtual inertia control support on the voltage stability of the wind fire bundling system is analyzed through a P-V curve and sensitivity comparison, when three wind farm groups are supported by the virtual inertia control, the active power limit of a bus is enhanced, the static stability limit of the wind farm groups is improved through additional virtual inertia control, and the system stability is optimized.
10. The method for controlling the static stability of the wind-fire bundling system with the virtual inertia control according to claim 9, wherein comparing the state analysis before and after the virtual inertia control is added to the three wind farm groups, it can be known that the active reactive-voltage sensitivity of the three wind farm groups is reduced after the virtual inertia control support is added.
CN202110372360.4A 2021-04-07 2021-04-07 Static stability control method for wind-fire bundling system with virtual inertia control Pending CN113131526A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113725908A (en) * 2021-09-01 2021-11-30 国网江苏省电力有限公司扬州供电分公司 Grid-connected static stability evaluation method based on converter limit transmission power
CN113949092A (en) * 2021-09-09 2022-01-18 上海电力大学 Dynamic stability judgment method for wind field feed-in system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105098834A (en) * 2015-08-12 2015-11-25 国网山东省电力公司潍坊供电公司 Divided working condition and divided mode voltage control method for double-fed wind farm
CN105226723A (en) * 2015-11-19 2016-01-06 国家电网公司 A kind of double-fed fan motor unit is based on the virtual inertia control method of wind power tracking Automatic adjusument
CN109038649A (en) * 2018-07-11 2018-12-18 上海电力学院 A kind of control method of the DFIG shafting oscillation based on the control of virtual inertia
US20200212823A1 (en) * 2019-01-02 2020-07-02 General Electric Company Virtual synchronous generator system and method with virtual inertia control

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105098834A (en) * 2015-08-12 2015-11-25 国网山东省电力公司潍坊供电公司 Divided working condition and divided mode voltage control method for double-fed wind farm
CN105226723A (en) * 2015-11-19 2016-01-06 国家电网公司 A kind of double-fed fan motor unit is based on the virtual inertia control method of wind power tracking Automatic adjusument
CN109038649A (en) * 2018-07-11 2018-12-18 上海电力学院 A kind of control method of the DFIG shafting oscillation based on the control of virtual inertia
US20200212823A1 (en) * 2019-01-02 2020-07-02 General Electric Company Virtual synchronous generator system and method with virtual inertia control

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张志恒等: "基于虚拟惯量的双馈风电机组惯性控制方式研究", 《现代电力》, no. 06, 10 December 2013 (2013-12-10), pages 51 - 54 *
萨妮耶•麦合木提等: "含虚拟惯量控制风火打捆系统静态稳定性研究", 《计算机仿真》, 25 September 2019 (2019-09-25), pages 108 - 112 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113725908A (en) * 2021-09-01 2021-11-30 国网江苏省电力有限公司扬州供电分公司 Grid-connected static stability evaluation method based on converter limit transmission power
CN113949092A (en) * 2021-09-09 2022-01-18 上海电力大学 Dynamic stability judgment method for wind field feed-in system
CN113949092B (en) * 2021-09-09 2024-05-31 上海电力大学 Dynamic stability judging method for wind field feed-in system

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