CN114069653A - Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode - Google Patents

Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode Download PDF

Info

Publication number
CN114069653A
CN114069653A CN202111272818.5A CN202111272818A CN114069653A CN 114069653 A CN114069653 A CN 114069653A CN 202111272818 A CN202111272818 A CN 202111272818A CN 114069653 A CN114069653 A CN 114069653A
Authority
CN
China
Prior art keywords
wind turbine
frequency
turbine generator
rotor
control
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
Application number
CN202111272818.5A
Other languages
Chinese (zh)
Inventor
陶以彬
吴福保
杨波
胡安平
李官军
薛金花
周晨
桑丙玉
王德顺
殷实
朱少杰
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.)
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
Original Assignee
State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
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 State Grid Corp of China SGCC, China Electric Power Research Institute Co Ltd CEPRI filed Critical State Grid Corp of China SGCC
Priority to CN202111272818.5A priority Critical patent/CN114069653A/en
Publication of CN114069653A publication Critical patent/CN114069653A/en
Pending legal-status Critical Current

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
    • H02J3/24—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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • 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]
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • 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
    • 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
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

Landscapes

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

Abstract

The invention provides a wind turbine generator improved frequency modulation control method and system considering an energy storage output mode, which comprises the following steps: acquiring the frequency of a wind turbine generator; if the frequency is smaller than a preset frequency threshold value, carrying out frequency modulation control and energy storage system control on the wind turbine generator; wherein, carrying out wind turbine generator system frequency modulation control includes: according to the method, the frequency modulation capability of the wind turbine generator is improved and the frequency stability of a power grid under high wind power permeability is improved by improving the frequency modulation mode of the wind turbine generator and the battery energy storage participation system.

Description

Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode
Technical Field
The invention relates to the field of wind power frequency modulation, in particular to a wind turbine generator improved frequency modulation control method and system considering an energy storage output mode.
Background
Different from the traditional synchronous generator, the wind generating set is connected to a power grid through a power electronic device, the kinetic energy of a rotor of the wind generating set is decoupled from the frequency change of a system, and the wind generating set cannot provide inertia support for the frequency change of the power grid. With the increase of the wind power proportion in the power system, the inertia of the system will continue to decrease, which brings huge challenges to the frequency stability of the power grid, so that the research on the wind turbine generator participating in the power grid frequency modulation control strategy has important significance for large-scale wind power grid connection.
At present, a great deal of research is carried out on the problem of unstable system frequency caused by wind power integration. In order to improve the frequency response capability of a wind power generation system, a virtual inertia control strategy and a droop control strategy can be added under the maximum power tracking operation mode of a fan to provide inertia support for the grid frequency, but most researches do not analyze inertia coefficients in the control strategy in detail, and few documents research how to control two inertia coefficients existing at the same time in a variable coefficient mode when the virtual inertia control strategy and the droop control strategy are used at the same time. The overspeed standby control method can lead the wind turbine generator to be in an overspeed operation state so as to reserve a certain power standby in advance, thereby providing inertia support for the power grid. However, the overspeed backup control is limited by the maximum speed and the range of speed adjustability is relatively limited. The active power output of the unit can be adjusted by adjusting the size of the pitch angle, and the active power output can also participate in the frequency modulation of the power grid, but the adjustment of the pitch angle is a mechanical response process, so the speed is low, and the maintenance cost can be increased by frequent actions. Therefore, how to configure a control strategy for the wind turbine generator to participate in system frequency modulation and the power generation benefit of the wind turbine generator are problems to be solved urgently at present.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an improved frequency modulation control method for a wind turbine generator considering an energy storage output mode, which comprises the following steps:
acquiring the frequency of a wind turbine generator;
judging whether the frequency is smaller than a preset frequency threshold value or not;
if the frequency is smaller than a preset frequency threshold value, carrying out frequency modulation control and energy storage system control on the wind turbine generator;
wherein, carrying out wind turbine generator system frequency modulation control includes: and controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator.
Preferably, the controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator includes:
acquiring the rotor rotating speed and the wind speed of a wind turbine generator;
judging whether the rotor rotating speed of the wind turbine generator is smaller than a preset rotating speed threshold value or not;
if so, the wind turbine generator does not need to be controlled to modulate frequency by utilizing the kinetic energy of the rotor;
otherwise, judging whether the wind speed is smaller than the rated wind speed, if so, controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency, otherwise, increasing the pitch angle standby control on the basis of controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency.
Preferably, the control wind turbine generator utilizes a rotor
Kinetic energy frequency modulation, comprising: and controlling the wind turbine generator to perform variable coefficient comprehensive inertia control and virtual capacitance control, adjusting the kinetic energy of the rotor and performing frequency modulation.
Preferably, the control of the wind turbine generator to perform coefficient-variable comprehensive inertia control includes:
calculating by adopting a fan optimal rotating speed calculation formula based on the fan reference rotating speed, a constant related to the frequency change of the wind storage system and the variable quantity of the frequency to obtain the fan optimal reference rotating speed;
and adjusting the rotor kinetic energy of the fan based on the calculated optimal reference rotating speed of the fan, and performing frequency modulation control on the wind turbine generator until the power grid frequency recovers the rated frequency.
Wherein the variation of the frequency is the difference between the rated frequency and the real-time frequency.
Preferably, the calculation formula of the optimal reference rotating speed of the fan is as follows:
Figure BDA0003329377130000021
in the formula, KPA constant is related to the frequency change of the wind storage system,
Figure BDA0003329377130000022
for the best reference rotor speed of the fan,
Figure BDA0003329377130000023
and delta f is the difference between the rated frequency and the real-time frequency for the reference rotating speed of the fan.
Preferably, the method for controlling the wind turbine generator to perform virtual capacitance control includes:
calculating a target value of input power from the rotor-side converter to the direct-current-side capacitor based on the virtual capacitor, the direct-current-side voltage and the direct-current-side power;
and adjusting the direct-current side input power to the target value by adjusting the size of the virtual capacitor.
Preferably, the target value of the input power is calculated by:
Figure BDA0003329377130000024
Figure BDA0003329377130000025
of formula (II) to (III)'inIs a target value of input power from the rotor-side converter to the DC-side capacitor, CvirIs a virtual capacitance, Δ PvirAdditional power, V, provided for virtual capacitor control strategydcIs the measured DC side voltage, PinIs the power flowing from the rectifier into the dc link capacitor.
Preferably, the wind turbine generator is controlled to control the energy storage system;
judging whether the obtained charge state of the energy storage system is larger than a preset minimum charge state value or not;
if so, carrying out fuzzy logic control on the wind storage system based on the output power of the fan and the rotating speed of the rotor, otherwise, controlling the battery not to output power.
Preferably, the fuzzy logic control of the wind storage system based on the output power of the wind turbine and the rotor speed includes:
obtaining a fuzzy linguistic variable to which the output power of the fan belongs according to the per-unit value of the output power of the fan, and obtaining a fuzzy linguistic variable to which the rotating speed of the rotor belongs according to the per-unit value of the rotating speed of the rotor;
obtaining a fuzzy linguistic variable to which an inertial response participation coefficient of energy storage output belongs according to the fuzzy linguistic variable to which the output power of the fan belongs and the fuzzy linguistic variable to which the rotating speed of the rotor belongs;
and adjusting the value of the inertial response participation coefficient according to the fuzzy language variable to which the inertial response participation coefficient belongs, and controlling the wind storage system.
Based on the same invention concept, the application also provides a wind turbine generator improved frequency modulation control system considering the energy storage output mode, which comprises a data acquisition module, a judgment module and a control module;
the data acquisition module is used for acquiring the frequency of the wind turbine generator;
the judging module is used for judging whether the frequency is smaller than a preset frequency threshold value;
the control module is used for carrying out frequency modulation control on the wind turbine generator and energy storage system control if the frequency is smaller than a preset frequency threshold;
wherein, carrying out wind turbine generator system frequency modulation control includes: and controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator.
Preferably, the control module is specifically configured to: according to the rotational speed of wind speed and wind turbine generator system, control wind turbine generator system and carry out rotor kinetic energy frequency modulation control and pitch angle standby control, include:
acquiring the rotor rotating speed and the wind speed of a wind turbine generator;
judging whether the rotor rotating speed of the wind turbine generator is smaller than a preset rotating speed threshold value or not;
if so, the wind turbine generator does not need to be controlled to modulate frequency by utilizing the kinetic energy of the rotor;
otherwise, judging whether the wind speed is smaller than the rated wind speed, if so, controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency, otherwise, increasing the pitch angle standby control on the basis of controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency.
Preferably, the controlling the wind turbine generator to modulate frequency by using kinetic energy of the rotor includes: and controlling the wind turbine generator to perform variable coefficient comprehensive inertia control and virtual capacitance control, adjusting the kinetic energy of the rotor and performing frequency modulation.
Preferably, the control of the wind turbine generator to perform coefficient-variable comprehensive inertia control includes:
calculating by adopting a fan optimal rotating speed calculation formula based on the fan reference rotating speed, a constant related to the frequency change of the wind storage system and the variable quantity of the frequency to obtain the fan optimal reference rotating speed;
and adjusting the rotor kinetic energy of the fan based on the calculated optimal reference rotating speed of the fan, and performing frequency modulation control on the wind turbine generator until the power grid frequency recovers the rated frequency.
Wherein the variation of the frequency is the difference between the rated frequency and the real-time frequency.
Preferably, the method for controlling the wind turbine generator to perform virtual capacitance control includes:
calculating a target value of input power from the rotor-side converter to the direct-current-side capacitor based on the virtual capacitor, the direct-current-side voltage and the direct-current-side power;
and adjusting the direct-current side input power to the target value by adjusting the size of the virtual capacitor.
Preferably, the wind turbine generator is controlled to control the energy storage system;
judging whether the obtained charge state of the energy storage system is larger than a preset minimum charge state value or not;
if so, carrying out fuzzy logic control on the wind storage system based on the output power of the fan and the rotating speed of the rotor, otherwise, controlling the battery not to output power.
Preferably, the fuzzy logic control of the wind storage system based on the output power of the wind turbine and the rotor speed includes:
obtaining a fuzzy linguistic variable to which the output power of the fan belongs according to the per-unit value of the output power of the fan, and obtaining a fuzzy linguistic variable to which the rotating speed of the rotor belongs according to the per-unit value of the rotating speed of the rotor;
obtaining a fuzzy linguistic variable to which an inertial response participation coefficient of energy storage output belongs according to the fuzzy linguistic variable to which the output power of the fan belongs and the fuzzy linguistic variable to which the rotating speed of the rotor belongs;
and adjusting the value of the inertial response participation coefficient according to the fuzzy language variable to which the inertial response participation coefficient belongs, and controlling the wind storage system.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a wind turbine generator improved frequency modulation control method and system considering an energy storage output mode, which comprises the following steps: acquiring the frequency of a wind turbine generator; if the frequency is smaller than a preset frequency threshold value, carrying out frequency modulation control and energy storage system control on the wind turbine generator; wherein, carrying out wind turbine generator system frequency modulation control includes: controlling the wind turbine generator to carry out rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator; according to the invention, the fuzzy logic control is adopted in the wind storage combined control system, so that the capability of the stored energy to participate in system frequency regulation can be dynamically determined according to the wind speed and the running state of the fan; through the cooperative control, the fan frequency modulation capability is fully utilized, excessive participation in system frequency modulation is avoided, the dynamic characteristic of energy storage is fully exerted, and coordinated and cooperative operation of wind and energy storage is realized.
Drawings
FIG. 1 is a flow chart of an improved frequency modulation control method for a wind turbine generator, which is provided by the invention and takes an energy storage output mode into consideration;
FIG. 2 is a block diagram illustrating a cooperative frequency modulation control of a wind turbine generator according to the present invention;
FIG. 3 is a detailed flow chart of a method for jointly participating in system frequency modulation by a wind energy storage system according to the present invention;
FIG. 4 is a block diagram of the variable coefficient integrated inertia control provided by the present invention;
FIG. 5 is a block diagram of an exemplary system of the present invention;
FIG. 6 is a block diagram of a virtual capacitor control provided by the present invention;
FIG. 7 is a block diagram of fuzzy logic control according to the present invention;
FIG. 8(a) is ωrA membership function of;
FIG. 8(b) is pWA membership function of;
FIG. 8(c) is a membership function of output α;
fig. 9 is a structural diagram of an improved frequency modulation control system of a wind turbine generator, which is provided by the invention and takes an energy storage output mode into consideration.
Detailed Description
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
Example 1:
the invention provides a wind turbine generator improved frequency modulation control method considering an energy storage output mode, a specific flow of the method is shown in figure 1, and the method comprises the following steps:
step 1: acquiring the frequency of a wind turbine generator;
step 2: judging whether the frequency is smaller than a preset frequency threshold value or not;
and step 3: if the frequency is smaller than a preset frequency threshold value, carrying out frequency modulation control and energy storage system control on the wind turbine generator;
wherein, carrying out wind turbine generator system frequency modulation control includes: and controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator.
Aiming at the independent participation of the wind turbine generator in system frequency modulation control, a cooperative frequency modulation control mode is provided and comprises the following steps: firstly, frequency fluctuation signals and wind speed signals are collected, and the wind speed signals are distinguished into high wind speed and low wind speed. And when the actual wind speed is lower than the rated wind speed of the wind turbine generator, a control method combining variable coefficient comprehensive inertia control and virtual capacitor control is adopted. When the wind speed exceeds the rated wind speed, the pitch angle power standby control is added on the basis of the combined control method. Through the cooperative work of the three frequency modulation controls, the problem that the wind turbine generator independently participates in system frequency modulation can be well solved, the frequency dynamic characteristic of a power grid is greatly improved, and a block diagram of a cooperative frequency modulation control mode is shown in fig. 2.
FIG. 3 is a detailed flow chart of a method for jointly participating in system frequency modulation by a wind storage system, wherein the system judges whether to control a wind turbine generator to perform system frequency modulation control and fuzzy logic control by utilizing rotor kinetic energy according to acquired frequency data, wind speed data, rotating speed data and charge state;
and judging whether to add the pitch angle standby control on the basis of controlling the wind turbine generator to perform frequency modulation control by utilizing the kinetic energy of the rotor according to the wind speed data.
In step 3, the traditional comprehensive inertia control method of the wind turbine generator is improved, and a variable coefficient comprehensive inertia control method is provided. The wind turbine normally works in the MPPT mode under the normal condition, and the reference value of the corresponding optimal rotating speed at the moment
Figure BDA0003329377130000061
The variable coefficient control is to introduce frequency variation in the optimal speed control loop
Figure BDA0003329377130000062
Replacing the optimum rotational speed
Figure BDA0003329377130000063
Wherein
Figure BDA0003329377130000064
The expression of (a) is:
Figure BDA0003329377130000065
in the formula, KPIs a coefficient relating to the change in the frequency of the system,
Figure BDA0003329377130000066
is the reference rotating speed of the fan,
Figure BDA0003329377130000067
for the best reference rotation speed of the fan, Δ f is the frequency variation.
K in the variable coefficient comprehensive inertia coefficient is as follows:
K＝1+KP△f (2)
after the variable coefficient comprehensive inertia control is added, the variable coefficient K changes in real time along with the degree of the change of the system frequency, and the reference rotating speed of the fan
Figure BDA0003329377130000068
The rotating speed can also change along with the change of the K, and the changed rotating speed is input into a torque control loop of the fan so that the output power of the fan can also change. Under the control mode, the inertia coefficient is adjusted in real time according to the system disturbance, so that the output power of the fan is flexibly adjusted according to the disturbance, and the fan is more flexible and targeted when participating in frequency modulation. Along with the end of the frequency modulation process, the power grid frequency is gradually recovered, the variable coefficient inertia control at the moment quits the work, the fan gradually increases the rotating speed of the rotor and increases the captured wind energy, when the power grid frequency is finally stable, the wind turbine generator is in the MPPT operation mode, and the control link is as shown in figure 4Shown in the figure.
In step 3, the problem that the direct current side capacitance is small in the direct current side inertia control mode and cannot provide sufficient inertia support for the system is solved, and a virtual capacitor control mode is used for improvement; the relation between the DC side voltage and the DC side power during the system disturbance is shown as formula (3).
Figure BDA0003329377130000071
In the formula, CdcDC capacitor, V, for back-to-back systemsdcIs the measured DC side voltage (i.e. the DC measuring capacitor C)dcVoltage across), PinIs the power flowing from the rectifier into the DC-side capacitor, PoutThe power flowing into the inverter from the dc side is as shown in fig. 5; it can be seen from (3) that when the wind turbine is operating in steady state, the dc voltage remains constant. When the system is interfered, the larger the capacitance of the direct current side is, the smaller the voltage change rate is, and the direct current side capacitor can provide larger inertia support. Due to the capacity limitation of the actual dc side capacitor, the inertia of this dc side capacitor is actually small. However, after the virtual capacitor control strategy is adopted, when the voltage on the direct current side changes, the input power can be rapidly adjusted in the rotor-side inverter, as shown in formula (4). Thereby enabling the converter to quickly work to absorb or release the extra power delta PvirAs shown in formula (5). And the virtual capacitor can be adjusted according to the actual condition of the system, so that relatively sufficient inertial support is provided for the system, and meanwhile, the large fluctuation of the direct current side voltage is not caused.
Figure BDA0003329377130000072
Figure BDA0003329377130000073
In the formula, Pref-VCCIs controlled by using a virtual capacitorNew active power reference value later, CvirThe virtual capacitor is defined, and is not a real capacitor, but a capacitor on the direct current side which is equivalent after a virtual capacitor control strategy is proposed in a rotor-side inverter control link. Taking into account the additional power Δ P provided by the virtual capacitor control strategyvirInput power P from the rotor-side converter to the DC-side capacitorin' is represented by formula (6):
Figure BDA0003329377130000074
p in the formula (6)in' alternatively, P in formula (3)inThe following can be obtained:
Figure BDA0003329377130000081
it can also be seen from the above (7) that the proposed virtual capacitor control strategy can be regarded as adding and actually controlling the dc side capacitance CdcParallel virtual capacitor CvirAnd a dummy capacitor CvirCan be based on the desired virtual capacitor inertia constant HvirMaking adjustments by increasing CvirCan reduce the actual DC side capacitance CdcNot only can the cost be saved, but also the size of the converter can be reduced, and a control block diagram of a virtual capacitor control strategy is shown in fig. 6.
In the step 3, aiming at the energy storage output mode, a fuzzy logic control mode is adopted, on the basis of the partition of the rotor rotating speed and the wind speed, a corresponding rule is made aiming at how the output of the wind storage in the middle and high wind speed interval is distributed, and the output coefficient of the energy storage is adjusted in real time. The fuzzy controller is shown in FIG. 7, and the input of the fuzzy controller is the rotor speed omega of the wind turbinerOutput power P of fanWThe output of the per unit value is the inertia response participation coefficient alpha of the energy storage output, the output of the energy storage in the whole frequency modulation process is determined by adjusting the coefficient alpha in real time through fuzzy control, and a function diagram of the coefficient is shown in fig. 8(a), (b) and (c). It is composed ofMiddle, input omegarAnd PWThe fuzzy linguistic variables of (1) are S (small), M (medium), and L (large), and the fuzzy linguistic variables of the output coefficient α are VS (very small), S (small), M (medium), L (large), and VL (very large). The fuzzy controller changes the active increment of stored energy in real time according to the change conditions of the output power of the fan and the rotating speed of the rotor, and dynamically simulates the frequency response characteristic of a conventional unit. The principle of fuzzy control is as follows: with rotor speed omegarIncrease of PWWhen the output energy storage inertia response reference coefficient alpha is increased, the output energy storage inertia response reference coefficient alpha is as large as possible.
Based on the principle, the following attached table 1 shows an inference table of the fuzzy controller. In order to verify the validity of the fuzzy logic coefficient, four different wind speed conditions are selected, wherein the wind speed conditions are respectively 10m/s, 11m/s, 12m/s and 13m/s, and the inertial response participation coefficient alpha of the output power, the rotating speed condition and the energy storage output of the fan under the different wind speed conditions is listed in an attached table 2. It can be seen from the table that as the wind speed increases, the output power of the fan increases, and the power gradually approaches the limit value of the fan, the active power that can be increased and generated approaches 0, at this time, the output that can store energy as much as possible will be needed, and therefore, the energy storage output coefficient α will also increase at this time. The results of the examples shown in Table 2 correspond to the design logic. At the moment, the output power of the fan gradually approaches the limit value, and the active power which can be increased and generated is reduced along with the increase of the output power, so that the output power of the fan is required to be stored as much as possible when the output power of the fan is high. Based on the principle, the following table of an inference table of the fuzzy controller is shown.
Figure BDA0003329377130000091
TABLE 1 fuzzy controller inference table
Figure BDA0003329377130000092
TABLE 2 example of verifying fuzzy logic controller implementation
By adopting fuzzy logic control in the wind storage combined control system, the capacity of the stored energy to participate in system frequency regulation can be dynamically determined according to the wind speed and the running state of the fan. Through the cooperative control, the fan frequency modulation capability is fully utilized, excessive participation in system frequency modulation is avoided, the dynamic characteristic of energy storage is fully exerted, and coordinated and cooperative operation of wind and energy storage is realized.
Example 2
The invention also provides an improved frequency modulation control system of the wind turbine generator considering the energy storage output mode, as shown in fig. 9, the improved frequency modulation control system comprises a data acquisition module, a judgment module and a control module;
the data acquisition module is used for acquiring the frequency of the wind turbine generator;
the judging module is used for judging whether the frequency is smaller than a preset frequency threshold value;
the control module is used for carrying out frequency modulation control on the wind turbine generator and energy storage system control if the frequency is smaller than a preset frequency threshold;
wherein, carrying out wind turbine generator system frequency modulation control includes: controlling the wind turbine generator to carry out rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator;
wherein the control module is specifically configured to: according to the rotational speed of wind speed and wind turbine generator system, control wind turbine generator system and carry out rotor kinetic energy frequency modulation control and pitch angle standby control, include:
acquiring the rotor rotating speed and the wind speed of a wind turbine generator;
judging whether the rotor rotating speed of the wind turbine generator is smaller than a preset rotating speed threshold value or not;
if so, the wind turbine generator does not need to be controlled to modulate frequency by utilizing the kinetic energy of the rotor;
otherwise, judging whether the wind speed is smaller than the rated wind speed, if so, controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency, otherwise, increasing the pitch angle standby control on the basis of controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency.
Wherein, control wind turbine generator system utilizes rotor kinetic energy frequency modulation, include: and controlling the wind turbine generator to perform variable coefficient comprehensive inertia control and virtual capacitance control, adjusting the kinetic energy of the rotor and performing frequency modulation.
Wherein, control wind turbine generator system and carry out variable coefficient synthesis inertia control, include:
calculating by adopting a fan optimal rotating speed calculation formula based on the fan reference rotating speed, a constant related to the frequency change of the wind storage system and the variable quantity of the frequency to obtain the fan optimal reference rotating speed;
based on the calculated optimal reference rotating speed of the fan, adjusting the rotor kinetic energy of the fan, and performing frequency modulation control on the wind turbine generator until the power grid frequency recovers the rated frequency;
wherein the variation of the frequency is the difference between the rated frequency and the real-time frequency.
The calculation formula of the optimal reference rotating speed of the fan is as follows:
Figure BDA0003329377130000101
in the formula, KPA constant is related to the frequency change of the wind storage system,
Figure BDA0003329377130000102
for the best reference rotor speed of the fan,
Figure BDA0003329377130000103
and delta f is the difference between the rated frequency and the real-time frequency for the reference rotating speed of the fan.
Wherein, control wind turbine generator system and carry out virtual capacitance control mode, include:
calculating a target value of input power from the rotor-side converter to the direct-current-side capacitor based on the virtual capacitor, the direct-current-side voltage and the direct-current-side power;
and adjusting the direct-current side input power to the target value by adjusting the size of the virtual capacitor.
Wherein the target value of the input power is calculated by:
Figure BDA0003329377130000104
Figure BDA0003329377130000105
of formula (II) to (III)'inIs a target value of input power from the rotor-side converter to the DC-side capacitor, CvirIs a virtual capacitance, Δ PvirAdditional power, V, provided for virtual capacitor control strategydcIs the measured DC side voltage, PinIs the power flowing from the rectifier into the dc link capacitor.
Wherein, control wind turbine generator system and carry out virtual capacitance control mode, include:
calculating a target value of input power from the rotor-side converter to the direct-current-side capacitor based on the virtual capacitor, the direct-current-side voltage and the direct-current-side power;
and adjusting the direct-current side input power to the target value by adjusting the size of the virtual capacitor.
The method comprises the following steps of controlling a wind turbine generator to control an energy storage system;
judging whether the obtained charge state of the energy storage system is larger than a preset minimum charge state value or not;
if so, carrying out fuzzy logic control on the wind storage system based on the output power of the fan and the rotating speed of the rotor, otherwise, controlling the battery not to output power.
Wherein, carry out fuzzy logic control to wind storage system based on fan output power and rotor speed includes:
obtaining a fuzzy linguistic variable to which the output power of the fan belongs according to the per-unit value of the output power of the fan, and obtaining a fuzzy linguistic variable to which the rotating speed of the rotor belongs according to the per-unit value of the rotating speed of the rotor;
obtaining a fuzzy linguistic variable to which an inertial response participation coefficient of energy storage output belongs according to the fuzzy linguistic variable to which the output power of the fan belongs and the fuzzy linguistic variable to which the rotating speed of the rotor belongs;
and adjusting the value of the inertial response participation coefficient according to the fuzzy language variable to which the inertial response participation coefficient belongs, and controlling the wind storage system.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (16)

1. A wind turbine generator improved frequency modulation control method considering an energy storage output mode is characterized by comprising the following steps:
acquiring the frequency of a wind turbine generator;
judging whether the frequency is smaller than a preset frequency threshold value or not;
if the frequency is smaller than a preset frequency threshold value, carrying out frequency modulation control and energy storage system control on the wind turbine generator;
wherein, carrying out wind turbine generator system frequency modulation control includes: and controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator.
2. The method according to claim 1, wherein the controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle backup control according to the wind speed and the rotating speed of the wind turbine generator comprises:
acquiring the rotor rotating speed and the wind speed of a wind turbine generator;
judging whether the rotor rotating speed of the wind turbine generator is smaller than a preset rotating speed threshold value or not;
if so, the wind turbine generator does not need to be controlled to modulate frequency by utilizing the kinetic energy of the rotor;
otherwise, judging whether the wind speed is smaller than the rated wind speed, if so, controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency, otherwise, increasing the pitch angle standby control on the basis of controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency.
3. The method of claim 2, further characterized in that the controlling the wind turbine to frequency modulate using rotor kinetic energy comprises: and controlling the wind turbine generator to perform variable coefficient comprehensive inertia control and virtual capacitance control, adjusting the kinetic energy of the rotor and performing frequency modulation.
4. The method of claim 3, further characterized by controlling the wind turbine for variable-coefficient synthetic inertia control, comprising:
calculating by adopting a fan optimal rotating speed calculation formula based on the fan reference rotating speed, a constant related to the frequency change of the wind storage system and the variable quantity of the frequency to obtain the fan optimal reference rotating speed;
based on the calculated optimal reference rotating speed of the fan, adjusting the rotor kinetic energy of the fan, and performing frequency modulation control on the wind turbine generator until the power grid frequency recovers the rated frequency;
wherein the variation of the frequency is the difference between the rated frequency and the real-time frequency.
5. The method of claim 4, further characterized in that the optimal reference fan speed is calculated by:
Figure FDA0003329377120000011
in the formula, KPA constant is related to the frequency change of the wind storage system,
Figure FDA0003329377120000012
for the best reference rotor speed of the fan,
Figure FDA0003329377120000013
and delta f is the difference between the rated frequency and the real-time frequency for the reference rotating speed of the fan.
6. The method of claim 3, wherein controlling the wind turbine to perform a virtual capacitance control mode comprises:
calculating a target value of input power from the rotor-side converter to the direct-current-side capacitor based on the virtual capacitor, the direct-current-side voltage and the direct-current-side power;
and adjusting the direct-current side input power to the target value by adjusting the size of the virtual capacitor.
7. The method of claim 6, wherein the target value of the input power is calculated by:
Figure FDA0003329377120000021
Figure FDA0003329377120000022
of formula (II) to (III)'inIs a target value of input power from the rotor-side converter to the DC-side capacitor, CvirIs a virtual capacitance, Δ PvirAdditional power, V, provided for virtual capacitor control strategydcIs the measured DC side voltage, PinIs the power flowing from the rectifier into the dc link capacitor.
8. The method of claim 1, wherein the wind turbine is controlled for energy storage system control;
judging whether the obtained charge state of the energy storage system is larger than a preset minimum charge state value or not;
if so, carrying out fuzzy logic control on the wind storage system based on the output power of the fan and the rotating speed of the rotor, otherwise, controlling the battery not to output power.
9. The method of claim 8, wherein the fuzzy logic controlling the wind storage system based on the output power of the wind turbine and the rotor speed comprises:
obtaining a fuzzy linguistic variable to which the output power of the fan belongs according to the per-unit value of the output power of the fan, and obtaining a fuzzy linguistic variable to which the rotating speed of the rotor belongs according to the per-unit value of the rotating speed of the rotor;
obtaining a fuzzy linguistic variable to which an inertial response participation coefficient of energy storage output belongs according to the fuzzy linguistic variable to which the output power of the fan belongs and the fuzzy linguistic variable to which the rotating speed of the rotor belongs;
and adjusting the value of the inertial response participation coefficient according to the fuzzy language variable to which the inertial response participation coefficient belongs, and controlling the wind storage system.
10. An improved frequency modulation control system for a wind turbine generator considering an energy storage output mode is characterized by comprising a data acquisition module, a judgment module and a control module;
the data acquisition module is used for acquiring the frequency of the wind turbine generator;
the judging module is used for judging whether the frequency is smaller than a preset frequency threshold value;
the control module is used for carrying out frequency modulation control on the wind turbine generator and energy storage system control if the frequency is smaller than a preset frequency threshold;
wherein, carrying out wind turbine generator system frequency modulation control includes: and controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator.
11. The system of claim 10, wherein the control module is specifically configured to:
acquiring the rotor rotating speed and the wind speed of a wind turbine generator;
judging whether the rotor rotating speed of the wind turbine generator is smaller than a preset rotating speed threshold value or not;
if so, the wind turbine generator does not need to be controlled to modulate frequency by utilizing the kinetic energy of the rotor;
otherwise, judging whether the wind speed is smaller than the rated wind speed, if so, controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency, otherwise, increasing the pitch angle standby control on the basis of controlling the wind turbine generator to utilize the rotor kinetic energy to modulate the frequency.
12. The system of claim 11, further characterized in that the controlling the wind turbine to modulate frequency using rotor kinetic energy comprises: and controlling the wind turbine generator to perform variable coefficient comprehensive inertia control and virtual capacitance control, adjusting the kinetic energy of the rotor and performing frequency modulation.
13. The system of claim 12, further characterized by controlling the wind turbine for variable-coefficient integrated inertia control, comprising:
calculating by adopting a fan optimal rotating speed calculation formula based on the fan reference rotating speed, a constant related to the frequency change of the wind storage system and the variable quantity of the frequency to obtain the fan optimal reference rotating speed;
based on the calculated optimal reference rotating speed of the fan, adjusting the rotor kinetic energy of the fan, and performing frequency modulation control on the wind turbine generator until the power grid frequency recovers the rated frequency;
wherein the variation of the frequency is the difference between the rated frequency and the real-time frequency.
14. The system of claim 12, wherein controlling the wind turbine to perform a virtual capacitance control mode comprises:
calculating a target value of input power from the rotor-side converter to the direct-current-side capacitor based on the virtual capacitor, the direct-current-side voltage and the direct-current-side power;
and adjusting the direct-current side input power to the target value by adjusting the size of the virtual capacitor.
15. The system of claim 10, wherein controlling the wind turbine for energy storage system control comprises:
judging whether the obtained charge state of the energy storage system is larger than a preset minimum charge state value or not;
if so, carrying out fuzzy logic control on the wind storage system based on the output power of the fan and the rotating speed of the rotor, otherwise, controlling the battery not to output power.
16. The system of claim 15, wherein the fuzzy logic control of the wind storage system based on the wind turbine output power and the rotor speed comprises:
obtaining a fuzzy linguistic variable to which the output power of the fan belongs according to the per-unit value of the output power of the fan, and obtaining a fuzzy linguistic variable to which the rotating speed of the rotor belongs according to the per-unit value of the rotating speed of the rotor;
obtaining a fuzzy linguistic variable to which an inertial response participation coefficient of energy storage output belongs according to the fuzzy linguistic variable to which the output power of the fan belongs and the fuzzy linguistic variable to which the rotating speed of the rotor belongs;
and adjusting the value of the inertial response participation coefficient according to the fuzzy language variable to which the inertial response participation coefficient belongs, and controlling the wind storage system.
CN202111272818.5A 2021-10-29 2021-10-29 Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode Pending CN114069653A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111272818.5A CN114069653A (en) 2021-10-29 2021-10-29 Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111272818.5A CN114069653A (en) 2021-10-29 2021-10-29 Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode

Publications (1)

Publication Number Publication Date
CN114069653A true CN114069653A (en) 2022-02-18

Family

ID=80236082

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111272818.5A Pending CN114069653A (en) 2021-10-29 2021-10-29 Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode

Country Status (1)

Country Link
CN (1) CN114069653A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115912397A (en) * 2022-11-21 2023-04-04 华清安泰能源股份有限公司 Wind storage coordinated frequency modulation control method, system and equipment for double-fed wind turbine generator

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115912397A (en) * 2022-11-21 2023-04-04 华清安泰能源股份有限公司 Wind storage coordinated frequency modulation control method, system and equipment for double-fed wind turbine generator
CN115912397B (en) * 2022-11-21 2024-03-15 华清安泰能源股份有限公司 Frequency modulation control method, system and equipment for wind-storage-coordinated double-fed wind turbine generator

Similar Documents

Publication Publication Date Title
CN109449954B (en) Frequency support control method of double-fed wind turbine generator based on two-stage power tracking optimization
CN108521142B (en) Primary frequency modulation coordination control method for wind turbine generator
CN107453410B (en) Load disturbance double-fed fan participated wind-diesel micro-grid frequency modulation control method
CN110120677B (en) Self-adaptive dynamic virtual inertia frequency modulation method for double-fed variable-speed pumped storage unit
CN111711203B (en) Two-stage coordination control method and system for offshore wind farm participating in frequency modulation
CN108242814B (en) Primary frequency modulation method and device for variable-speed variable-frequency wind turbine generator
CN107394817B (en) Method and system for wind power to participate in frequency modulation of power system
CN106532739A (en) Method for enabling wind power unit to participate in primary frequency modulation of power system at different bands
CN110323789B (en) Wind turbine generator power control method and system based on virtual inertia simulation
CN108964130B (en) Power angle initial swing stable control method of wind power grid-connected system with controllable inertia
CN110635492A (en) Method for improving power grid frequency supporting capacity based on wind storage coordination control strategy
CN112994043A (en) Control method and system for inertia and primary frequency modulation of self-synchronous double-fed wind turbine generator
CN110401222B (en) Comprehensive control method and system for wind generating set participating in system frequency modulation
CN112332442A (en) Virtual inertia control strategy optimization based on double-fed wind power plant
CN114069653A (en) Wind turbine generator set improved frequency modulation control method and system considering energy storage output mode
CN110571859B (en) Method for improving grid-connected operation capacity of double-fed wind turbine generator under power grid fault
CN108506163B (en) Doubly-fed wind power virtual synchronous machine rotating speed recovery method, device and system
CN115882524A (en) Wind turbine generator set control parameter setting method for improving frequency response capability
CN113904346A (en) Wind turbine generator rotating speed recovery method considering hydroelectric frequency modulation resources
CN114268136A (en) Fan stepping inertia control improvement method considering frequency response characteristic of synchronous machine
CN112769167A (en) Wind power, thermal power and electric cooperative frequency modulation control method and system
CN115498654B (en) Virtual inertia control method of permanent magnet synchronous fan based on fuzzy logic control
Gui et al. Integrated Control Strategy for Wind Turbine and Hydraulic Turbine in Primary Frequency Regulation
CN111769596B (en) Doubly-fed wind power plant control method and system based on additional energy branch
CN113162127B (en) Wind power frequency modulation method for variable coefficient droop control considering power grid frequency deviation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication