CN112202202A - Wind power plant group coordination control method under multilayer hierarchical structure - Google Patents

Wind power plant group coordination control method under multilayer hierarchical structure Download PDF

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CN112202202A
CN112202202A CN202011022671.XA CN202011022671A CN112202202A CN 112202202 A CN112202202 A CN 112202202A CN 202011022671 A CN202011022671 A CN 202011022671A CN 112202202 A CN112202202 A CN 112202202A
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王万成
杨毅
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Hohai University HHU
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • 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
    • 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

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Abstract

The invention discloses a wind power plant group coordination control method under a multilayer hierarchical structure. The method provided by the invention can ensure that the power grid can safely and stably operate when the wind power station group is merged into the power grid, and can also prolong the service life of the wind power equipment.

Description

Wind power plant group coordination control method under multilayer hierarchical structure
Technical Field
The invention belongs to the technical field of power control of wind power plant groups, and particularly relates to a wind power plant group coordination control method under a multilayer hierarchical structure.
Background
Wind power generation is a new energy power generation technology which utilizes natural wind to drive a wind wheel to rotate so as to convert wind energy into mechanical energy and finally into electric energy. When wind blows to the blades, power generated on the blades drives the wind wheels to rotate, the wind power plant is connected with a large power grid through the power electronic converter, the boosting transformer substation and the power transmission line, and electric energy converted from wind energy is transmitted to the power grid to form a wind power plant grid-connected power generation system. Compared with traditional power generation methods such as thermal power generation and the like, wind power generation has the advantages of cleanness and no pollution, so that extensive research is carried out, and a large number of wind power plants at the megawatt level are built. With the access of a large-scale wind power plant group to a power grid, the power balance and frequency modulation of the power grid are challenged, the problems of unbalanced power coordination among the wind power plants and the like are caused, and the capacity of the power grid for receiving wind energy power generation is influenced.
The incorporation of large-scale wind farms into the grid to participate in frequency modulation has been a focus of research, resulting in a variety of different control methods and strategies. Droop control and virtual inertia control methods are two common methods. The essential content of droop control is that an active power regulating variable which is in direct proportion to the power grid frequency deviation is introduced into a wind turbine generator and is added to an original active power reference value, the wind power output is effectively regulated, and the change of the power grid frequency is responded. The virtual inertia control is realized by introducing a frequency change signal into a control module of the wind turbine generator and virtually outputting equivalent rotational inertia through rotating speed adjustment, so that the development and utilization of the rotational kinetic energy in the wind turbine generator are realized, and the inertia of a power grid is supported. Whether droop control or virtual inertia control is adopted, when the frequency of a power grid deviates to a certain degree, all wind power plants with the frequency modulation capability participate in primary frequency modulation of the power grid, so that frequent adjustment of each wind power unit is caused, the service life of equipment is reduced to a certain degree, and resource waste is caused.
Disclosure of Invention
The invention provides a wind power plant group coordination control method under a multilayer hierarchical structure, and particularly relates to a wind power plant group active power coordination control method, aiming at ensuring safe and stable operation of a power grid and prolonging the service life of wind power equipment when the wind power plant group is merged into the power grid.
The technical purpose is achieved, the technical effect is achieved, and the invention is realized through the following technical scheme:
a wind power plant group coordination control method under a multilayer hierarchical structure is characterized in that a change value of active power output by each wind power plant in a short time when the wind power plants are connected into a power grid is obtained, and the active power output of the wind power plants participating in regulation and the active power output of each wind power plant capable of participating in frequency modulation are assigned through comparison with a frequency modulation power difference required by the power grid when the frequency of the power grid changes suddenly.
As a further improvement of the invention, the change value of the active power output by the wind power plant in a short time comprises the steps of estimating the change trend of the active power output by the wind power plant and calculating the maximum active power which can participate in regulation.
As a further improvement of the present invention, the trend of the active power output by the wind farm refers to an ascending trend or a descending trend;
and dividing the wind power plants with the same direction variation trend into two groups based on the estimated variation trend, wherein the two groups are respectively an increasable wind power plant group and a decreasable wind power plant group, and sequencing the wind power plants contained in each group.
As a further improvement of the present invention, the basis for sorting the wind farms included in each group is as follows:
firstly, according to the response time ts(s) and a stabilization time t0.9(s) prioritizing according to the rules of the following table, the ranking being in order of priority from high to low
Figure BDA0002701166920000021
And secondly, for wind power plants with the same priority, calculating the load rate of the wind power plants at the current moment, and sequencing the load rates from low to high.
As a further improvement of the method, the process of predicting the change trend of the active power output by the wind power plant comprises the steps of fitting a curve by using a least square method on the current output of the wind power plant and the predicted output within N minutes in the future, and judging the change trend of the active power according to the slope of the fitted curve.
As a further development of the invention, said calculating the maximum active power that can take part in the regulation comprises,
calculating the maximum increasable power calculated by the wind power places in the increasable wind power station group:
ΔPi max+＝min{Pi pre(k+1)-Pi(k),0.1Pi N}(i＝1,2,...,m)；
and calculating the maximum reducible power calculated by the wind power in the reducible wind power station group:
ΔPi max-＝min{Pi(k)-Pi pre(k+1),0.1Pi N}(i＝1,2,...,s)；
wherein, in the formula, Pi(k) For the current moment of force, Pi NFor the installed capacity, P, of each wind farmi pre(k +1) is the predicted active power output, delta P, of the wind power plant for one minute in the futurei max+For each power-increasing active power wind farm maximum power-increasing, Δ Pi max-Maximum deratable power for each deratable active power output wind farm.
As a further improvement of the invention, the method also comprises the step of calculating the maximum active power which can participate in regulation of the wind power station group, including the total increasable power
Figure BDA0002701166920000022
And the total reducible power
Figure BDA0002701166920000031
As a further development of the invention, the wind farm whose assignment takes part in regulation comprises:
firstly, judging whether the frequency modulation power difference is larger than zero, and correspondingly allocating a wind power plant group participating in regulation;
and then, the number of the wind power plants participating in frequency modulation and the active power output of each wind power plant participating in regulation are allocated by comparing the absolute value of the frequency modulation power difference with the total increasable power or the total decreasable power of the wind power plant group.
As a further improvement of the present invention, when the absolute value of the frequency modulation power difference is greater than or equal to the maximum active power that can participate in the regulation, all wind farms in the corresponding group participate in the regulation according to their respective maximum active power that can participate in the regulation.
As a further improvement of the invention, when the absolute value of the frequency modulation power difference is smaller than the maximum active power of the wind power plant group, the first q +1 wind power plants in the corresponding grouping sequence are selected to participate in frequency modulation, wherein the sum of the maximum active powers which can participate in adjustment of the first q wind power plants is larger than or equal to the frequency modulation power difference, the sum of the maximum active powers which can participate in adjustment of the first q-1 wind power plants is smaller than the frequency modulation power difference, and the ratio of the power which can participate in adjustment of each wind power plant which participates in frequency modulation to the maximum active power which can participate in adjustment per se is equal to the ratio of the frequency modulation power difference to the sum of the maximum active powers which can participate in adjustment of the first q +1 wind.
The invention has the beneficial effects that:
(1) dividing the wind power plants in the wind power plant group into two groups according to the evaluation of the variation trend of the active output by the wind power plants, and performing incremental generation and subtraction; the wind power plants in one group are determined to participate in system frequency modulation through the positive and negative of the power grid frequency modulation power difference, all the wind power plants are prevented from participating in frequency modulation, the effectiveness of frequency modulation is guaranteed, the wind power plants which are inefficient and even have adverse effect efficiency are reduced from participating in frequency modulation, the operation times of wind power plant equipment are reduced, and the service life of the wind power plant equipment is prolonged.
(2) Different frequency modulation power instructions are issued by comparing the frequency modulation power difference of the power grid with the maximum increasable/reducible active power output sum of the wind power plant group, different adjusting methods can be selected according to different conditions, so that accurate adjustment plan output is obtained, control is more accurate, safe and stable operation of the power grid is guaranteed, and meanwhile, safety and stability of the wind power plant after the wind power plant is connected into the power grid are improved.
(3) According to the actual active output condition of each wind power plant, the active output is optimally configured, and the resource utilization maximization is realized on the premise of safe and stable regulation.
Drawings
FIG. 1 is a flow chart of a method for coordinating and controlling active power of a wind farm in an embodiment of the invention;
FIG. 2 is a multi-level hierarchical active power coordination control diagram of a wind turbine/wind farm group according to an embodiment of the present invention;
FIG. 3 is a graph of the frequency change of the grid using no-frequency control, droop control and the optimized coordinated control proposed by the present invention under a fifth second load spike of 200MW when a wind farm is incorporated into the grid;
FIG. 4 is a graph of active power variation from wind farm output using no frequency control, droop control, and optimized coordinated control proposed by the present invention at the fifth second load spike of 200MW when the wind farm is incorporated into the grid;
FIG. 5 is a graph of the frequency change of the grid using no-frequency control, droop control and the optimized coordinated control proposed by the present invention under a fifth second load spike of 100MW when a wind farm is incorporated into the grid;
fig. 6 is a graph of active power variation of wind farm output using no frequency control, droop control and optimized coordinated control proposed by the present invention in the fifth second load spike of 100MW when the wind farm is incorporated into the grid. Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following detailed description of the principles of the invention is provided in connection with the accompanying drawings.
Firstly, explaining a regulation object of the invention, the wind farm group with a multilayer hierarchical structure specifically refers to a hierarchical structure of a wind turbine generator/wind farm group/wind farm cluster formed by aggregating wind farms with close geographical positions and similar resource characteristics and accessing the same network point. Secondly, the raw data in the method, such as the active output P emitted by each wind farmiIs obtained by a power acquisition module.
As shown in fig. 1-2, the specific regulation steps of the present invention are:
step SS 1: the method for acquiring the frequency modulation power difference delta P required by the power grid when the frequency of the power grid changes suddenly comprises the following steps:
(1) obtaining the frequency f of the operation of the power grid and the rated frequency f of the power gridN；
(2) According to the formula Δ P ═ Kp(f-fN) (in the wind)The electric field is polymerized before being merged into the power grid to ensure KBefore p _ polymerization＝KAfter p _ polymerization)。
Step SS 2: obtaining the maximum active power increasing/decreasing amount delta P capable of increasing/decreasing the amount of power of each wind power plantiThe method comprises the following specific steps:
(1) let wind farm group A include n wind farms A1,A2,...,AnNamely: a ═ A1,A2,...,An}。
(2) Obtaining the installed capacity P of each wind power planti NMeasuring each wind farm AiIs exerted by a force P at the current momenti(k) Obtaining the predicted power output P of the future 3 minutes by wavelet predictioni pre(k+1),Pi pre(k+2),Pi pre(k+3),i＝1,2...,n。
(3) Obtaining a wind power plant A from (2)iThe wind power output sequence is as follows:
[Pi(k),Pi pre(k+1),Pi pre(k+2),Pi pre(k+3)],i＝1,2...,n
fitting the wind power plant output sequence by adopting a least square method to obtain a wind power plant AiSlope K of the fitted curvei(k) If K isi(k)>0, proving the wind farm AiThe output active power tends to increase in a short time; if K isi(k)<0, proving the wind farm AiThe output active power tends to decrease in a short time.
Calculating wind farm AiLoad factor at present time:
Figure BDA0002701166920000051
and according to the response time ts(s) and a stabilization time t0.9(s) prioritizing each wind farm, the division criteria being shown in the appended table 1:
table 1: wind farm prioritization table
Figure BDA0002701166920000052
Selecting the slope K of the least square fitting curvei(k)>0, in the priority order of additional table 1, further according to the load factor δi(k) From low to high, an increased transmission priority sequence is formed and is marked as A+＝{A1,A2,...,AmAnd (m is less than or equal to n). Likewise, the slope K of the fitting curve is selectedi(k)<0 wind power plants are ranked from high to low according to priority, and further according to the load rate delta under the condition that the priority is the samei(k) From high to low, a sequence of emission-reducing priorities is formed, and is marked as A-＝{A1,A2,...,As}(s≤n)
(4) Wind farm A for calculating increasable poweriMaximum power increase of (2):
ΔPi max+＝min{Pi pre(k+1)-Pi(k),0.1Pi N}(i＝1,2,...,m)
after the maximum increasable power of each wind power plant capable of increasing the active power is calculated, the total increasable power of the wind power plant group is calculated
Figure BDA0002701166920000053
For reduced transmission priority sequence
Figure BDA0002701166920000054
And calculating the maximum reducible power delta P of each wind power plant capable of reducing the active poweri max-＝min{Pi(k)-Pi pre(k+1),0.1Pi NH, s) and calculating the total reducible power of the reducible wind farm
Figure BDA0002701166920000055
Step SS 3: the method comprises the following steps of adjusting the active power output of the wind power plant:
(1) determining the magnitude of the difference Δ P in the modulated frequency power if Δ P>0, indicating that the active power needs to be increasedAnd (4) taking out the increasable wind power plant priority sequence A in the step SS2+＝{A1,A2,...,AmAnd (m is less than or equal to n), the specific allocation strategy is as follows: if it is not
Figure BDA0002701166920000056
Each wind power station with the increased active power has to generate the maximum active power, and each wind power station A with the increased active poweriOf the frequency-modulated power increase Δ PiComprises the following steps:
ΔPi＝ΔPi max+,i＝1,2,...,m
if it is not
Figure BDA0002701166920000061
At the moment, all wind power plants with increased active power do not need to participate in frequency modulation, and aiming at the increased active power priority sequence A+＝{A1,A2,...,AmAnd (m is less than or equal to n), selecting front q +1 wind power plants (q +1 is less than or equal to m) from front to back in sequence, and enabling the front q wind power plants to meet the equation:
Figure BDA0002701166920000062
the (q +1) th wind farm as a redundancy measure to cope with the increased power shortage that may arise. In this case, the wind farm AiThe frequency modulation power increase allocation is as follows:
Figure BDA0002701166920000063
(2) if Δ P<0, indicating that the power reduction is required, and extracting the priority sequence A of the reducible wind power plant in the step SS2-＝{A1,A2,...,AsAnd (s is less than or equal to n), the specific allocation strategy is as follows: if it is not
Figure BDA0002701166920000064
Each wind power station capable of reducing the active power has to reduce the maximum reduced active power of the wind power station capable of reducing the active power to respond to the frequency change of the power grid, and each wind power station A capable of reducing the poweriIs decreased by the amount of delta PiComprises the following steps:
ΔPi＝ΔPi max-,i＝1,2,...,s
if it is not
Figure BDA0002701166920000065
Then from the reduced transmission priority sequence a-＝{A1,A2,...,AsQ +1 wind power plants (q +1 is less than or equal to s) are sequentially taken out from front to back in the (s is less than or equal to n), and the former q wind power plants are ensured to meet the equation:
Figure BDA0002701166920000066
the (q +1) th wind power plant is used as redundancy to deal with the problem that the active power output may be insufficient, and in this case, the active power which can be reduced by the first (q +1) wind power plants is sequentially
Figure BDA0002701166920000067
The adjusted active power output of the wind farm obtained in step SS4 is: if active power needs to be increased, then: pi_plan＝Pi+ΔPi(ii) a If active power needs to be reduced, then: pi_plan＝Pi-ΔPi。
Fig. 3-6 are schematic diagrams of simulation results given by the optimization and coordination control method provided by the invention.
Fig. 3 is a graph of the active power variation of the wind farm output under the fifth second load surge of 200MW using the no-frequency control, droop control and the optimized coordinated control proposed by the present invention when the wind farm is incorporated into the grid. Compared with the traditional droop control, under the optimized coordination control, only part of wind power plants meeting the conditions participate in the frequency modulation control of the power grid;
fig. 4 shows the change of the grid frequency under the fifth second load surge of 200MW using the no-frequency control, droop control and the optimized coordinated control proposed by the present invention when the wind farm is incorporated into the grid. Compared with the traditional droop control method, the droop control method has the advantages that all wind power plants need to participate in frequency modulation, when the wind power plants adopt optimized coordination control, the number of the wind power plants actually participating in frequency modulation is only three (No. 1,2 and 4 wind power plants), on the premise that almost the same frequency modulation effect as that of the traditional droop control is obtained, the number of the wind power plants participating in power grid frequency modulation is reduced, the number of times of adjustment in the wind power plants is effectively reduced, and resources are saved;
fig. 5 is a graph of the active power variation of the wind farm output using the no-frequency control, droop control and the proposed optimized coordinated control in the fifth second with a sudden load increase of 100MW when the wind farm is incorporated into the grid. Compared with the traditional droop control, under the optimized coordination control, only part of wind power plants meeting the conditions participate in the frequency modulation control of the power grid;
fig. 6 shows the change of the grid frequency using the no-frequency control, droop control and the optimized coordinated control proposed by the present invention in the case of the fifth second sudden load increase of 100MW when the wind farm is incorporated into the grid. Compared with the traditional droop control method, all wind power plants are required to participate in frequency modulation, when the wind power plants adopt the optimized coordination control, the number of the wind power plants actually participating in the frequency modulation is only three, and on the premise that the frequency modulation effect almost identical to that of the traditional droop control is obtained, the number of the wind power plants participating in the frequency modulation of a power grid is reduced, the adjusting times inside the wind power plants are effectively reduced, and resources are saved.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. A wind power plant group coordination control method under a multilayer hierarchical structure is characterized by comprising the following steps: the method comprises the steps of obtaining the change value of active power output by each wind power plant accessed into a power grid in a short time, and allocating the wind power plants participating in regulation and the active power output of each wind power plant capable of participating in frequency modulation through comparison with the difference of frequency modulation power needed by the power grid when the frequency of the power grid changes suddenly.
2. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 1, characterized in that: the change value of the active power output by the wind power plant in a short time comprises the steps of estimating the change trend of the active power output by the wind power plant and calculating the maximum active power which can participate in regulation.
3. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 2, characterized in that: the change trend of the active power output by the wind power plant refers to an ascending trend or a descending trend;
and dividing the wind power plants with the same direction variation trend into two groups based on the estimated variation trend, wherein the two groups are respectively an increasable wind power plant group and a decreasable wind power plant group, and sequencing the wind power plants contained in each group.
4. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 3, characterized in that: the basis for sequencing the wind power plants contained in each group is as follows:
firstly, according to the response time ts(s) and a stabilization time t0.9(s) prioritizing according to the rules of the following table, the ranking being in order of priority from high to low
Figure FDA0002701166910000011
And secondly, for wind power plants with the same priority, calculating the load rate of the wind power plants at the current moment, and sequencing the load rates from low to high.
5. The wind farm group coordination control method under the multilayer hierarchical structure according to any one of claims 2 to 4, characterized in that: the process of predicting the active power change trend output by the wind power plant comprises the steps of fitting a curve by a least square method according to the current output of the wind power plant and the predicted output within N minutes in the future, and judging the active power change trend according to the slope of the fitted curve.
6. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 4, characterized in that: the calculating of the maximum active power that can participate in the regulation includes,
calculating the maximum increasable power calculated by the wind power places in the increasable wind power station group:
ΔPi max+＝min{Pi pre(k+1)-Pi(k),0.1Pi N}(i＝1,2,...,m)；
and calculating the maximum reducible power calculated by the wind power in the reducible wind power station group:
ΔPi max-＝min{Pi(k)-Pi pre(k+1),0.1Pi N}(i＝1,2,...,s)；
wherein, in the formula, Pi(k) For the current moment of force, Pi NFor the installed capacity, P, of each wind farmi pre(k +1) is the predicted active power output, delta P, of the wind power plant for one minute in the futurei max+For each power-increasing active power wind farm maximum power-increasing, Δ Pi max-Maximum deratable power for each deratable active power output wind farm.
7. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 6, characterized in that: the method also comprises the step of calculating the maximum active power which can participate in regulation of the wind power station group, including the total increasable power
Figure FDA0002701166910000021
And the total reducible power
Figure FDA0002701166910000022
8. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 7, characterized in that: the dispatching participating wind power station comprises:
firstly, judging whether the frequency modulation power difference is larger than zero, and correspondingly allocating a wind power plant group participating in regulation;
and then, the number of the wind power plants participating in frequency modulation and the active power output of each wind power plant participating in regulation are allocated by comparing the absolute value of the frequency modulation power difference with the total increasable power or the total decreasable power of the wind power plant group.
9. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 8, characterized in that: and when the absolute value of the frequency modulation power difference is greater than or equal to the maximum active power which can participate in regulation, all the wind power plants in the corresponding group participate in regulation according to the respective maximum active power which can participate in regulation.
10. The wind farm group coordination control method under the multilayer hierarchical structure according to claim 8, characterized in that: when the absolute value of the frequency modulation power difference is smaller than the maximum active power of the wind power plant group, the first q +1 wind power plants in the corresponding grouping sequence are selected to participate in frequency modulation, wherein the sum of the maximum active power which can participate in adjustment of the first q wind power plants is larger than or equal to the frequency modulation power difference, the sum of the maximum active power which can participate in adjustment of the first q-1 wind power plants is smaller than the frequency modulation power difference, and the ratio of the power which can participate in adjustment of each wind power plant which participates in frequency modulation to the maximum active power which can participate in adjustment of the wind power plant per se is equal to the ratio of the frequency modulation power difference to the sum of the maximum active power which can participate in adjustment of the.
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Cited By (2)

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CN112769164A (en) * 2021-03-10 2021-05-07 广东电网有限责任公司电力调度控制中心 Wind turbine group cooperative control method and device for wind power plant participating in frequency modulation
CN113162064A (en) * 2021-03-03 2021-07-23 山东大学 Multi-wind-field optimal frequency modulation method and system

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Application publication date: 20210108