CN104917204B - A kind of active power of wind power field optimal control method - Google Patents
A kind of active power of wind power field optimal control method Download PDFInfo
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- CN104917204B CN104917204B CN201510380010.7A CN201510380010A CN104917204B CN 104917204 B CN104917204 B CN 104917204B CN 201510380010 A CN201510380010 A CN 201510380010A CN 104917204 B CN104917204 B CN 104917204B
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- 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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
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- 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 kind of active power of wind power field optimal control method, using the present invention active power distribution computational methods can determine that each Wind turbines of the next controlling cycle of wind energy turbine set it is active go out force value, current control period wind energy turbine set running of wind generating set status data is gathered first, current control period Wind turbines present position wind speed, current control period Wind turbines are exerted oneself and next controlling cycle Wind turbines present position prediction of wind speed, and the active power of wind power field planned value that real-time reception control centre issues, each Wind turbines data going out force value and be handed down to every Radix codonopsis pilosulae with the Wind turbines that adjust by active power controller optimized algorithm reasonable arrangement wind energy turbine set each Wind turbines of the active power of wind power field control system according to collection, realize that the active power of whole wind energy turbine set goes out the planned value that force value trace scheduling is issued.The present invention improves the generated energy of wind energy turbine set to greatest extent, reduces the start and stop frequency of each typhoon group of motors, and can preferably smooth each typhoon group of motors and exerts oneself.
Description
Technical field
The present invention relates to Power System and its Automation technical field, particularly a kind of active power of wind power field optimal control
Method.
Background technology
The end of the year 2011, national standardization administration committee issues 2011 No. 23 national standard bulletin, approval《Wind energy turbine set
Access power system technology regulation》(GB/T 19963-2011).The standard active power controller of wind energy turbine set is required to have done compared with
Detailed regulation, above-mentioned networking technical stipulation wind energy turbine set must have active power regulation ability, and can be according to dispatching of power netwoks department
Instruction controls its active power and exports.In order to realize the control to active power of wind power field, wind energy turbine set need to install active power control
System processed, can receive and perform automatically a traffic department distant place sends it is active go out force control signal.
As wind-power electricity generation capacity of water depends on the size of wind resource, separate unit Wind turbines and whole audience wind power output tool
There are larger undulatory property, wind energy turbine set to need to distribute interior each wind turbine of showing up by dispatching requirement after receiving control centre's active power dispatch instruction
Group；The frequent movement of control system of wind turbines can directly affect its exert oneself reliability and unit durability.
The content of the invention
The technical problem to be solved is to overcome the deficiencies in the prior art and provide a kind of active power of wind power field
The planned value that wind energy turbine set is handed down in control centre is distributed to every typhoon group of motors, and then reasonable arrangement should by optimal control method
The start and stop of each Wind turbines and control targe value in wind energy turbine set, realize the active power measured value of whole wind energy turbine set immediately following in scheduling
The planned value that the heart is issued, improves the generating efficiency of wind energy turbine set to greatest extent, reduces the rate of change of output of wind electric field, while reducing
The stop frequency of Wind turbines.
The present invention is employed the following technical solutions to solve above-mentioned technical problem：
According to a kind of active power of wind power field optimal control method proposed by the present invention, comprise the following steps,
The P that exerts oneself of step (1), collection current control period the i-th typhoon group of motorsiThe i-th typhoon of (t), current control period
The running status of group of motors, current control period active power of wind power field total value Pactual(t), current control period control centre
The planned value P for issuingplanT (), next controlling cycle control centre issue planned value Pplan(t+1), next controlling cycle i-th
The prediction of wind speed of Wind turbines present positionNominal output P of the i-th typhoon group of motorsr, the i-th typhoon group of motors minimum
Technology is exerted oneself Pi min；Wherein, the numbering of i=1 ..., n, i for Wind turbines, quantity of the n for Wind turbines in wind energy turbine set, t are represented
Current control period, t+1 represent next controlling cycle；
The running status of step (2), current control period the i-th typhoon group of motors gathered according to step (1), by n typhoons
Group of motors carries out classification pretreatment, is divided into grid-connected adjustable Wind turbines, machine halt trouble unit and communication failure unit；
Step (3), the prediction of wind speed of next controlling cycle the i-th typhoon group of motors present position gathered according to step (1)The potentiality of exerting oneself in next controlling cycle of prediction n typhoon group of motors
Step (4), according to following object function and constraints, each typhoon in wind energy turbine set is calculated by genetic algorithm
The P that exerts oneself of the next controlling cycle of group of motorsi(t+1)；
The object function is：
Wherein, Pactual(t+1) it is next controlling cycle output of wind electric field, Q is wind energy turbine set installed capacity, and max { ... } is to take
Max function, λ are weight coefficient；
The constraints includes output of wind electric field constraint, Wind turbines units limits, active power of wind power field rate of change
Constraint and Wind turbines exert oneself rate of change constraint；
The output of wind electric field constraint is shown below：
The Wind turbines units limits are shown below：
The active power of wind power field rate of change constraint is shown below：
|Pplan(t+1)-Pactual(t+1)|≤ΔPrule；
Wherein, Δ PruleFor the Power Output for Wind Power Field rate of change set-point of the regulation of dispatching of power netwoks department；
The Wind turbines exert oneself rate of change constraint be shown below：
|Pi(t+1)-Pi(t)|≤ΔPi,rule；
Wherein, Δ Pi,ruleExert oneself the adjustable limit value of rate of change for the i-th typhoon group of motors；
The P that exerts oneself of step (5), the next controlling cycle of each typhoon group of motors obtained according to step (4)i(t+1), calculate each
Typhoon group of motors increases in next controlling cycle and force value Δ Pi(t+1), Δ Pi(t+1)=Pi(t+1)-Pi(t)；As Δ Pi(t+1)>
0 Wind turbines increases exerts oneself, as Δ Pi(t+1)<0 Wind turbines subtracts exerts oneself, as Δ Pi(t+1)=0 Wind turbines is exerted oneself not
Become.
It is as a kind of further prioritization scheme of active power of wind power field optimal control method of the present invention, described grid-connected
Adjustable wind electromotor in the potentiality of exerting oneself of next controlling cycle is：
Wherein,For the next controlling cycle prediction of wind speed of the i-th typhoon group of motors, ρ is atmospheric density, and S is swept for wind wheel
Wind area, vrFor rated wind speed, vctTo cut wind speed, v∞For cut-out wind speed, vi(t) wind speed, C residing for the i-th typhoon group of motorsp
For power coefficient；
The machine halt trouble unit is 0 in the potentiality of exerting oneself of next controlling cycle；
The communication failure unit is P in the potentiality of exerting oneself of next controlling cyclei(t)。
As a kind of further prioritization scheme of active power of wind power field optimal control method of the present invention, the wind-force
The potentiality of exerting oneself of electromotor are relevant with the prediction of wind speed of next controlling cycle.
As a kind of further prioritization scheme of active power of wind power field optimal control method of the present invention, the target
Function is to reduce active power of wind power field rate of change for maximizing, the rate of change while reduction Wind turbines are exerted oneself.
As a kind of further prioritization scheme of active power of wind power field optimal control method of the present invention, the wind-powered electricity generation
Unit output rate of change is adjustable limit value and Wind turbines design parameter, current control period Wind turbines present position wind speed and
Next controlling cycle Wind turbines present position wind speed is relevant.
The present invention adopts above technical scheme compared with prior art, with following technique effect：
(1) the method judges running of wind generating set state by gathering Wind turbines relevant parameter, and according to current control
The running status optimization of cycle Wind turbines calculates active power dispatch distribution instruction, smooth wind power unit output in wind energy turbine set；
(2) in active power optimal control method proposed by the present invention, object function is changed by minimizing output of wind electric field
Value, the maximum of changing value while each typhoon group of motors of minimum is exerted oneself, that is, minimize output of wind electric field undulatory property；Constraints
Part considers output of wind electric field constraint, the constraint of Wind turbines units limits, active power of wind power field rate of change and Wind turbines
Rate of change of exerting oneself is constrained；In existing wind energy turbine set active power allocation algorithm all simultaneously consider output of wind electric field undulatory property and
The undulatory property of exerting oneself of Wind turbines, great majority are only that general power is carried out simple average mark by the installed capacity of each wind energy turbine set
Match somebody with somebody；
(3) of the invention compared with active power allocation algorithm in existing wind energy turbine set, the present invention is to employ optimization first
Method is gone to solve the next controlling cycle of each typhoon group of motors and goes out force value, and causes to minimize output of wind electric field using object function
The undulatory property of exerting oneself of undulatory property and minimum Wind turbines, reduces the frequent start-stop control of Wind turbines, so as to preferably smooth
Output of wind electric field, this with《Wind energy turbine set accesses power system technology regulation (GB/T 19963-2011)》In it is maximum with regard to wind energy turbine set
The requirement of power variation rate is consistent.
Description of the drawings
Fig. 1 is the flow chart of the inventive method.
Specific embodiment
Below in conjunction with the accompanying drawings technical scheme is described in further detail：
Flow chart as shown in Figure 1, the cluster wind power plant active power controller method of the present invention, comprises the steps：
The P that exerts oneself of step (1), collection current control period the i-th typhoon group of motorsiThe i-th typhoon of (t), current control period
The running status of group of motors, current control period active power of wind power field total value Pactual(t), current control period control centre
The planned value P for issuingplanT (), next controlling cycle control centre issue planned value Pplan(t+1), next controlling cycle i-th
The prediction of wind speed of Wind turbines present positionNominal output P of the i-th typhoon group of motorsr, the i-th typhoon group of motors most
Little technology is exerted oneself Pi min；Wherein, the numbering of i=1 ..., n, i for Wind turbines, quantity of the n for Wind turbines in wind energy turbine set, t tables
Show current control period, t+1 represents next controlling cycle；
The running status of step (2), current control period the i-th typhoon group of motors gathered according to step (1), by n typhoons
Group of motors carries out classification pretreatment, is divided into grid-connected adjustable Wind turbines, machine halt trouble unit and communication failure unit；
Step (3), the prediction of wind speed of next controlling cycle the i-th typhoon group of motors present position gathered according to step (1)The potentiality of exerting oneself in next controlling cycle of prediction n typhoon group of motors
The grid-connected adjustable wind electromotor in the potentiality of exerting oneself of next controlling cycle is：
Wherein,For the next controlling cycle prediction of wind speed of the i-th typhoon group of motors, ρ is atmospheric density, and S is swept for wind wheel
Wind area, vrFor rated wind speed, vctTo cut wind speed, v∞For cut-out wind speed, vi(t) wind speed, C residing for the i-th typhoon group of motorsp
For power coefficient；
The machine halt trouble unit is 0 in the potentiality of exerting oneself of next controlling cycle；
The communication failure unit is P in the potentiality of exerting oneself of next controlling cyclei(t)；
Step (4), according to following object function and constraints, each typhoon in wind energy turbine set is calculated by genetic algorithm
The P that exerts oneself of the next controlling cycle of group of motorsi(t+1)；
The object function is：
Wherein, Pactual(t+1) it is next controlling cycle output of wind electric field, Q is wind energy turbine set installed capacity, and max { ... } is to take
Max function, λ are weight coefficient；
The constraints includes output of wind electric field constraint, Wind turbines units limits, active power of wind power field rate of change
Constraint and Wind turbines exert oneself rate of change constraint；
The output of wind electric field constraint is shown below：
The Wind turbines units limits are shown below：
The active power of wind power field rate of change constraint is shown below：
|Pplan(t+1)-Pactual(t+1)|≤ΔPrule；
Wherein, Δ PruleFor the Power Output for Wind Power Field rate of change set-point of the regulation of dispatching of power netwoks department；
The Wind turbines exert oneself rate of change constraint be shown below：
|Pi(t+1)-Pi(t)|≤ΔPi,rule；
Wherein, Δ Pi,ruleExert oneself the adjustable limit value of rate of change for the i-th typhoon group of motors；
The P that exerts oneself of step (5), the next controlling cycle of each typhoon group of motors obtained according to step (4)i(t+1), calculate each
Typhoon group of motors increases in next controlling cycle and force value Δ Pi(t+1), Δ Pi(t+1)=Pi(t+1)-Pi(t)；As Δ Pi(t+1)>
0 Wind turbines increases exerts oneself, as Δ Pi(t+1)<0 Wind turbines subtracts exerts oneself, as Δ Pi(t+1)=0 Wind turbines is exerted oneself not
Become.
The potentiality of exerting oneself of the wind-driven generator are relevant with the prediction of wind speed of next controlling cycle.
The object function is to reduce active power of wind power field rate of change for maximizing, while reduce Wind turbines exerting oneself
Rate of change.
The Wind turbines are exerted oneself the adjustable limit value of rate of change and Wind turbines design parameter, current control period Wind turbines
Present position wind speed and next controlling cycle Wind turbines present position wind speed are relevant.
In a word, the present invention is according to Wind turbines current control period running status, Wind turbines present position wind speed, wind
Group of motors is exerted oneself the data such as situation, the potentiality while active power for considering the next controlling cycle of each typhoon group of motors is exerted oneself, most
After calculate the next controlling cycle of each typhoon group of motors and go out force value, and be issued to each typhoon group of motors.Computation model is preferably protected
Demonstrate,prove each typhoon group of motors active power to exert oneself that rate of change is minimum and active power of wind power field is exerted oneself rate of change is minimum.
Above-described specific embodiment, has been carried out further to the purpose of the present invention, technical scheme and beneficial effect
Describe in detail, the be should be understood that specific embodiment that the foregoing is only the present invention is not limited to this
Bright, all any modification, equivalent substitution and improvements within the spirit and principles in the present invention, done etc. should be included in the present invention
Protection domain within.
Claims (5)
1. a kind of active power of wind power field optimal control method, it is characterised in that comprise the following steps,
The P that exerts oneself of step (1), collection current control period the i-th typhoon group of motorsiThe i-th typhoon group of motors of (t), current control period
Running status, current control period active power of wind power field total value PactualT (), current control period control centre issue
Planned value PplanT (), next controlling cycle control centre issue planned value Pplan(t+1), the i-th typhoon of next controlling cycle motor
The prediction of wind speed of group present positionNominal output P of the i-th typhoon group of motorsr, the i-th typhoon group of motors minimum technology
Exert oneself Pi min；Wherein, the numbering of i=1 ..., n, i for Wind turbines, quantity of the n for Wind turbines in wind energy turbine set, t represent current
Controlling cycle, t+1 represent next controlling cycle；
The running status of step (2), current control period the i-th typhoon group of motors gathered according to step (1), by n typhoon motors
Group carries out classification pretreatment, is divided into grid-connected adjustable Wind turbines, machine halt trouble unit and communication failure unit；
Step (3), the prediction of wind speed of next controlling cycle the i-th typhoon group of motors present position gathered according to step (1)The potentiality of exerting oneself in next controlling cycle of prediction n typhoon group of motors
Step (4), according to following object function and constraints, each typhoon motor in wind energy turbine set is calculated by genetic algorithm
The P that exerts oneself of the next controlling cycle of groupi(t+1)；
The object function is：
Wherein, Pactual(t+1) it is next controlling cycle output of wind electric field, Q is wind energy turbine set installed capacity, and max { ... } is to take maximum
Value function, λ are weight coefficient；
The constraints includes output of wind electric field constraint, the constraint of Wind turbines units limits, active power of wind power field rate of change
With Wind turbines exert oneself rate of change constraint；
The output of wind electric field constraint is shown below：
The Wind turbines units limits are shown below：
The active power of wind power field rate of change constraint is shown below：
|Pplan(t+1)-Pactual(t+1)|≤ΔPrule；
Wherein, Δ PruleFor the Power Output for Wind Power Field rate of change set-point of the regulation of dispatching of power netwoks department；
The Wind turbines exert oneself rate of change constraint be shown below：
|Pi(t+1)-Pi(t)|≤ΔPi,rule；
Wherein, Δ Pi,ruleExert oneself the adjustable limit value of rate of change for the i-th typhoon group of motors；
The P that exerts oneself of step (5), the next controlling cycle of each typhoon group of motors obtained according to step (4)i(t+1), calculate each typhoon
Group of motors increases in next controlling cycle and force value Δ Pi(t+1), Δ Pi(t+1)=Pi(t+1)-Pi(t)；As Δ Pi(t+1) ＞ 0 is then
Wind turbines increase exerts oneself, as Δ Pi(t+1) then Wind turbines subtract and exert oneself ＜ 0, as Δ Pi(t+1)=0 Wind turbines is exerted oneself not
Become.
2. a kind of active power of wind power field optimal control method according to claim 1, it is characterised in that it is described it is grid-connected can
Adjust wind-driven generator in the potentiality of exerting oneself of next controlling cycle be：
Wherein,For the next controlling cycle prediction of wind speed of the i-th typhoon group of motors, ρ is atmospheric density, and S sweeps wind face for wind wheel
Product, vrFor rated wind speed, vctTo cut wind speed, v∞For cut-out wind speed, vi(t) wind speed, C residing for the i-th typhoon group of motorspFor wind
Can usage factor；
The machine halt trouble unit is 0 in the potentiality of exerting oneself of next controlling cycle；
The communication failure unit is P in the potentiality of exerting oneself of next controlling cyclei(t)。
3. a kind of active power of wind power field optimal control method according to claim 2, it is characterised in that the wind-force is sent out
The potentiality of exerting oneself of motor are relevant with the prediction of wind speed of next controlling cycle.
4. a kind of active power of wind power field optimal control method according to claim 1, it is characterised in that the target letter
Number is to reduce active power of wind power field rate of change for maximizing, the rate of change while reduction Wind turbines are exerted oneself.
5. a kind of active power of wind power field optimal control method according to claim 1, it is characterised in that the wind turbine
Group exert oneself the adjustable limit value of rate of change and Wind turbines design parameter, current control period Wind turbines present position wind speed and under
One controlling cycle Wind turbines present position wind speed is relevant.
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| CN105356490B (en) * | 2015-12-03 | 2019-02-05 | 中国电力科学研究院 | A kind of active control method for coordinating of DC parallel type wind power plant |
| ES2817534T3 (en) * | 2016-07-06 | 2021-04-07 | Vestas Wind Sys As | A wind power facility having a plurality of wind turbine generators and a power facility controller |
| CN106374527A (en) * | 2016-09-20 | 2017-02-01 | 青岛华创风能有限公司 | Method for calculating electric energy production loss caused by limited power and machine halt of wind power plant cluster |
| CN108242823B (en) | 2016-12-26 | 2020-04-28 | 北京金风科创风电设备有限公司 | Active power distribution method and device for wind power plant |
| CN107332287B (en) * | 2017-07-10 | 2019-11-26 | 华电电力科学研究院有限公司 | A kind of wind turbine group of planes active power optimization distributor and its optimizing distribution method |
| CN109347122B (en) * | 2018-11-21 | 2022-01-25 | 国电联合动力技术有限公司 | Intelligent control method and system for participating in active power regulation of wind power plant sample board machine |
| CN110502058B (en) * | 2019-08-21 | 2020-09-25 | 国电南瑞南京控制***有限公司 | Active power change rate control system for wind power plant |
| CN111146806A (en) * | 2020-01-03 | 2020-05-12 | 国电联合动力技术有限公司 | Active available output dynamic calculation optimization method for wind power plant and energy management platform |
| CN112215425B (en) * | 2020-10-16 | 2023-10-20 | 国网冀北电力有限公司 | Scheduling method and device for active power of wind power cluster |
| CN113541201B (en) * | 2021-07-21 | 2022-12-23 | 云南电网有限责任公司 | Active power adjusting method and system during grid connection of wind power cluster |
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| CN103219751B (en) * | 2013-05-08 | 2015-04-29 | 东南大学 | Control method of active power of clustered wind power plants |
| CN103296701B (en) * | 2013-05-09 | 2015-04-29 | 国家电网公司 | Active power control method in wind power plant |
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Address after: 210019 Building B3, No. 1, Yunlongshan Road, Jianye District, Nanjing, Jiangsu Patentee after: Jiangsu urban planning and Design Institute Co.,Ltd. Address before: 210036 Jiangsu Jianshe Building, No. 88, Caochangmen Street, Gulou District, Nanjing, Jiangsu Patentee before: JIANGSU INSTITUTE OF URBAN PLANNING AND DESIGN |