CN105631152B - Variable speed variable frequency pneumatic electric system Wind energy extraction method based on particle cluster algorithm - Google Patents

Variable speed variable frequency pneumatic electric system Wind energy extraction method based on particle cluster algorithm Download PDF

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CN105631152B
CN105631152B CN201610013056.XA CN201610013056A CN105631152B CN 105631152 B CN105631152 B CN 105631152B CN 201610013056 A CN201610013056 A CN 201610013056A CN 105631152 B CN105631152 B CN 105631152B
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beta
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wind turbines
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CN105631152A (en
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陈思哲
熊国专
唐雄民
章云
孟安波
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Guangdong University of Technology
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Abstract

The invention discloses a kind of variable speed variable frequency pneumatic electric system maximal wind-energy capture method based on particle cluster algorithm, the variable speed variable frequency pneumatic electric system constituted for the permanent-magnet synchronous Wind turbines by variable frequency transformer and Duo Tai parallel runnings, collaboration optimization is carried out to the rotating speed of variable frequency transformer and the propeller pitch angle of all permanent-magnet synchronous Wind turbines by particle cluster algorithm, so as to realize the maximal wind-energy capture of variable speed variable frequency pneumatic electric system.Compared with for the single argument optimization method of variable frequency transformer rotating speed, the Multi-variables optimum design method based on particle cluster algorithm proposed can obtain more wind energies.

Description

Variable speed variable frequency pneumatic electric system Wind energy extraction method based on particle cluster algorithm
Technical field
The present invention relates to technical field of wind power generation, more particularly to the variable speed variable frequency pneumatic electric system wind based on particle cluster algorithm Can catching method.
Background technology
Coastal waters wind-powered electricity generation has the advantages that wind speed is high, turbulence intensity is small, wind speed and direction is stable, is the main of wind-powered electricity generation industry development Trend.However, the difficulty of operation on the sea causes the maintenance cost of coastal waters Wind turbines very high, the restriction of weather and marine environment makes It is difficult to be repaired in time after Wind turbines failure, this will cause the reduction of effective generating dutation, therefore coastal waters Wind turbines Reliability has considerable influence to the economic benefit of wind power plant.
The permanent-magnet synchronous Wind turbines of many parallel runnings, the speed changing, frequency converting constituted are controlled using variable frequency transformer Wind power system, with advantages below：1. permanent-magnet synchronous Wind turbines are at sea used, no slip ring and brush, fault rate are relatively low；② The nucleus equipment variable frequency transformer of system is installed on land, easy to maintenance；3. active power mainly passes through variable frequency Transformer flows into power network, and the capacity and cost of power electronic equipment are significantly reduced, and system overload ability is stronger.
For the variable speed variable frequency pneumatic electric system, existing maximal wind-energy capture method is to use single argument optimized algorithm, root Optimal variable frequency transformer rotating speed is calculated according to the wind speed of each wind energy conversion system, wind energy utilization is relatively low.To improve wind energy utilization, The propeller pitch angle of each typhoon group of motors need to also be optimized while being optimized to variable frequency transformer rotating speed.However, The cooperative optimization method for variable frequency transformer rotating speed and Ge Tai wind energy conversion system propeller pitch angles is not yet related at present.
The content of the invention
In view of the drawbacks described above of prior art, the technical problems to be solved by the invention are to provide a kind of based on population The variable speed variable frequency pneumatic electric system Wind energy extraction method of algorithm, can be to the propeller pitch angle and variable ratio frequency changer of each permanent-magnet synchronous Wind turbines The rotating speed of rate transformer carries out collaboration optimization, realizes the maximal wind-energy capture of variable speed variable frequency pneumatic electric system.
To achieve the above object, caught the invention provides the variable speed variable frequency pneumatic electric system maximal wind-energy based on particle cluster algorithm Method is obtained, the variable speed variable frequency pneumatic electric system includes multi-section permanent-magnet synchronous Wind turbines and connected variable frequency transformation Device, the variable frequency transformer is connected in common frequency power network, and the variable frequency transformer includes double feedback electric engine and and double-fed The direct current generator of electromechanics connection, the direct current generator is electrically connected with drive circuit, and the drive circuit is connected with transformer, Characterized in that, its work comprises the following steps：
Step 1：The real-time wind speed of each permanent-magnet synchronous Wind turbines in variable speed variable frequency pneumatic electric system is gathered, M dimension wind is assigned to Fast vector
Step 2：Random initializtion population, sets the initial position and speed of each particle, the population is by N number of grain Son composition, position of each particle in hyperspace is represented as the vector of following form：
Wherein, βi,jFor the propeller pitch angle of jth platform permanent-magnet synchronous Wind turbines in i-th of particle, ωi,VFTFor in i-th of particle The rotating speed of variable frequency transformer；
Step 3：The fitness value of each particle is calculated as follows in population：
Wherein, ρ is atmospheric density, and A is blade swept area, the power coefficient C of kth platform permanent-magnet synchronous Wind turbinesk(Vk, βk,ωVFT) as follows：
Wherein, R is the blade radius of permanent-magnet synchronous Wind turbines, ωgridFor synchronized angular speed, pWTAnd pVFTRespectively For the number of pole-pairs of permanent-magnet synchronous Wind turbines and variable frequency transformer, K1To K6For the coefficient determined by Wind turbines aerofoil profile；
Step 4：By the initial position of each particleIt is used as its history optimum positionAnd its fitness value is calculated, so It is current global optimum's particle to select the maximum particle of fitness value from population afterwards, and its position is designated as
Step 5：Speed and the position of each particle are updated according to following formula
Wherein,c1、c2For constant, r1And r2For random number；
Step 6：If the particle of certain in step 5In some dimension exceed Wind turbines propeller pitch angle or variable frequency The adjustable range of transformer rotating speed, such as(k=1,2 ..., M) orThen it is set on the border of adjustable range；
Step 7：Each particle after updating is calculated using the method for step 3Fitness value, and by its with Itself history optimum positionWith global history optimum positionCorresponding fitness value compares, if the adaptation of current particle Angle value is higher, then corresponding with its replacementOr
Step 8：Repeat step 5-7 is until iteration convergence, can obtain global optimum's particle as follows：
Wherein βg1,βg2,…,βgMFor the optimal propeller pitch angle of each permanent-magnet synchronous Wind turbines, ωgVFTBecome for variable frequency The optimized rotating speed of depressor；
Step 9：By βg1,βg2,…,βgMThe award setting device of corresponding Wind turbines is assigned to, by ωgVFTIt is assigned to variable ratio frequency changer The rotational speed governor of rate transformer.
The beneficial effects of the invention are as follows：
The present invention is optimized by the collaboration to Wind turbines propeller pitch angle and variable frequency transformer rotating speed, is improved by variable The Wind Power Utilization effect for the variable speed variable frequency pneumatic electric system that frequency transformer and the permanent-magnet synchronous Wind turbines of Duo Tai parallel runnings are constituted Rate.
The technique effect of the design of the present invention, concrete structure and generation is described further below with reference to accompanying drawing, with It is fully understood from the purpose of the present invention, feature and effect.
Brief description of the drawings
Fig. 1 is made up of for what the present invention was applicable variable frequency transformer and the permanent-magnet synchronous Wind turbines of Duo Tai parallel runnings Variable speed variable frequency pneumatic electric system topology figure；
Fig. 2 is used for one group of time-varying anemobiagraph of authentication control method effect for the present invention；
Fig. 3 is the optimal adaptation angle value convergence curve figure of population under control method of the present invention；
Fig. 4 is the propeller pitch angle optimum results figure of each permanent-magnet synchronous Wind turbines under control method of the present invention；
Fig. 5 is pair under control method of the present invention with variable frequency transformer rotational speed optimization result under single argument optimization method Than figure；
Fig. 6 is the contrast under control method of the present invention with variable speed variable frequency pneumatic electric system output power under single argument optimization method Figure.
Embodiment
As shown in figure 1, the variable speed variable frequency pneumatic electric system maximal wind-energy capture method based on particle cluster algorithm, the speed change becomes Frequency wind power system includes multi-section permanent-magnet synchronous Wind turbines and connected variable frequency transformer, the variable frequency transformation Device is connected in common frequency power network, and the variable frequency transformer includes double feedback electric engine and the direct current mechanically connected with double feedback electric engine Machine, the direct current generator is electrically connected with drive circuit, and the drive circuit is connected with transformer, it is characterised in that its saddlebag Include following steps：
Step 1：The real-time wind speed of each permanent-magnet synchronous Wind turbines in variable speed variable frequency pneumatic electric system is gathered, M dimension wind is assigned to Fast vector
Step 2：Random initializtion population, sets the initial position and speed of each particle, the population is by N number of grain Son composition, position of each particle in hyperspace is represented as the vector of following form：
In the present embodiment, βi,jFor the propeller pitch angle of jth platform permanent-magnet synchronous Wind turbines in i-th of particle, ωi,VFTFor i-th The rotating speed of variable frequency transformer in particle；
Step 3：The fitness value of each particle is calculated as follows in population：
In the present embodiment, ρ is atmospheric density, and A is blade swept area, the power train of kth platform permanent-magnet synchronous Wind turbines Number Ck(Vk,βk,ωVFT) as follows：
In the present embodiment, R is the blade radius of permanent-magnet synchronous Wind turbines, ωgridFor synchronized angular speed, pWTWith pVFTThe respectively number of pole-pairs of permanent-magnet synchronous Wind turbines and variable frequency transformer, K1To K6Determined by Wind turbines aerofoil profile Coefficient；
Step 4：By the initial position of each particleIt is used as its history optimum positionAnd its fitness value is calculated, so It is current global optimum's particle to select the maximum particle of fitness value from population afterwards, and its position is designated as
Step 5：Speed and the position of each particle are updated according to following formula
In the present embodiment,c1、c2For constant, r1And r2For random number；
Step 6：If the particle of certain in step 5In some dimension exceed Wind turbines propeller pitch angle or variable frequency The adjustable range of transformer rotating speed, such as(k=1,2 ..., M) orThen it is set on the border of adjustable range；
Step 7：Each particle after updating is calculated using the method for step 3Fitness value, and by its with Itself history optimum positionWith global history optimum positionCorresponding fitness value compares, if the adaptation of current particle Angle value is higher, then corresponding with its replacementOr
Step 8：Repeat step 5-7 is until iteration convergence, can obtain global optimum's particle as follows：
In the present embodiment, βg1,βg2,…,βgMFor the optimal propeller pitch angle of each permanent-magnet synchronous Wind turbines, ωgVFTTo be variable The optimized rotating speed of frequency transformer；
Step 9：By βg1,βg2,…,βgMThe award setting device of corresponding Wind turbines is assigned to, by ωgVFTIt is assigned to variable ratio frequency changer The rotational speed governor of rate transformer.
For above-mentioned condition, simulating, verifying is carried out under the wind speed shown in Fig. 2, simulation waveform is as shown in Figures 3 to 6. As seen from Figure 3, particle cluster algorithm can restrain rapidly, it is ensured that controller obtains optimal propeller pitch angle β in a short timeg1,βg2,βg3, βg4With variable frequency transformer optimized rotating speed ωgVFT；Propeller pitch angle optimum results βg1,βg2,βg3,βg4As shown in figure 4, variable frequency Transformer rotational speed optimization result ωgVFTAs shown in Figure 5；As seen from Figure 6, it is excellent with single argument for variable frequency transformer rotating speed Change method is compared, the Multi-variables optimum design method based on population, and Wind Power Utilization effect can be significantly improved under various wind conditions Rate.
Preferred embodiment of the invention described in detail above.It should be appreciated that one of ordinary skill in the art without Need creative work just can make many modifications and variations according to the design of the present invention.Therefore, all technologies in the art Personnel are available by logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea Technical scheme, all should be in the protection domain being defined in the patent claims.

Claims (1)

1. the variable speed variable frequency pneumatic electric system maximal wind-energy capture method based on particle cluster algorithm, the variable speed variable frequency pneumatic electric system bag Multi-section permanent-magnet synchronous Wind turbines and connected variable frequency transformer are included, the variable frequency transformer is connected to power frequency In power network, the variable frequency transformer include double feedback electric engine, transformer, drive circuit and with double feedback electric engine mechanically connect it is straight Motor is flowed, the direct current generator is electrically connected with drive circuit, and the drive circuit is connected with transformer, it is characterised in that its work Work comprises the following steps：
Step 1：Gather variable speed variable frequency pneumatic electric system in each permanent-magnet synchronous Wind turbines real-time wind speed, be assigned to M tie up wind speed to Amount
Step 2：Random initializtion population, sets the initial position and speed of each particle, the population is by N number of particle group Into position of each particle in hyperspace is represented as the vector of following form：
x → i = [ β i , 1 , β i , 2 , ... , β i , M , ω i , V F T ] T , ( i = 1 , 2 , ... , N )
Wherein, βi,jFor the propeller pitch angle of jth platform permanent-magnet synchronous Wind turbines in i-th of particle, ωi,VFTTo be variable in i-th of particle The rotating speed of frequency transformer；
Step 3：The fitness value of each particle is calculated as follows in population：
P i = 1 2 ρ A Σ k = 1 M [ C k ( V k , β i , k , ω i , V F T ) V k 3 ] , ( i = 1 , 2 , ... , N )
Wherein, ρ is atmospheric density, and A is blade swept area, the power coefficient C of kth platform permanent-magnet synchronous Wind turbinesk(Vk,βk, ωVFT) as follows：
C k ( V k , β k , ω V F T ) = K 6 ω g r i d - p V F T ω V F T p W T R V k + K 1 ( K 2 ω g r i d - p V F T ω V F T p W T R V k + 0.08 β k - 0.035 K 2 β k 3 + 1 - K 3 β k - K 4 ) e - K 5 ω g r i d - p V F T ω V F T p W T R V k + 0.008 β k + 0.035 K 5 β k 3 + 1
Wherein, R is the blade radius of permanent-magnet synchronous Wind turbines, ωgridFor synchronized angular speed, pWTAnd pVFTRespectively forever The number of pole-pairs of magnetic-synchro Wind turbines and variable frequency transformer, K1To K6For the coefficient determined by Wind turbines aerofoil profile；
Step 4：By the initial position of each particleIt is used as its history optimum positionAnd its fitness value is calculated, then from grain It is current global optimum's particle that the maximum particle of fitness value is selected in subgroup, and its position is designated as
Step 5：Speed and the position of each particle are updated according to following formula
Wherein,c1、c2For constant, r1And r2For random number；
Step 6：If the particle of certain in step 5In some dimension exceed Wind turbines propeller pitch angle or variable frequency transformer The adjustable range of rotating speed, such asOrThen It is set on the border of adjustable range；
Step 7：Each particle after updating is calculated using the method for step 3Fitness value, and by itself and itself History optimum positionWith global history optimum positionCorresponding fitness value compares, if the fitness value of current particle is more Height, then it is corresponding with its replacementOr
Step 8：Repeat step 5-7 is until iteration convergence, can obtain global optimum's particle as follows：
p → g = [ β g 1 , β g 2 , ... , β g M , ω g V F T ] T
Wherein βg1,βg2,…,βgMFor the optimal propeller pitch angle of each permanent-magnet synchronous Wind turbines, ωgVFTFor variable frequency transformer Optimized rotating speed；
Step 9：By βg1,βg2,…,βgMThe award setting device of corresponding Wind turbines is assigned to, by ωgVFTIt is assigned to variable frequency transformation The rotational speed governor of device.
CN201610013056.XA 2016-01-07 2016-01-07 Variable speed variable frequency pneumatic electric system Wind energy extraction method based on particle cluster algorithm Expired - Fee Related CN105631152B (en)

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CN106786784B (en) * 2017-03-22 2019-04-19 广东工业大学 A kind of wind-powered electricity generation group of planes Poewr control method and system
CN106684922B (en) * 2017-03-22 2019-03-15 广东工业大学 A kind of wind turbine group control method and system
CN106849191B (en) * 2017-03-23 2019-08-16 广东工业大学 A kind of alternating current-direct current wired home microgrid operation method based on particle swarm algorithm
CN109268205B (en) * 2018-08-27 2020-01-07 华北电力大学 Wind power plant optimization control method based on intelligent wind turbine
CN109687515A (en) * 2018-12-28 2019-04-26 广东工业大学 A kind of the power generation amount control method and relevant apparatus of wind power plant
CN111075688B (en) * 2019-12-18 2021-10-22 珠海格力电器股份有限公司 Frequency conversion device and frequency conversion method suitable for alternating current frequency conversion air conditioning system compressor

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CN103093027A (en) * 2012-12-06 2013-05-08 广东电网公司电力科学研究院 Method for analyzing electric power system based on equivalent model of doubly-fed wind farm
US8933572B1 (en) * 2013-09-04 2015-01-13 King Fahd University Of Petroleum And Minerals Adaptive superconductive magnetic energy storage (SMES) control method and system
CN104343627A (en) * 2013-07-23 2015-02-11 山东建筑大学 Control method and device of maximum wind energy capture in off-grid wind power generation

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US8933572B1 (en) * 2013-09-04 2015-01-13 King Fahd University Of Petroleum And Minerals Adaptive superconductive magnetic energy storage (SMES) control method and system

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