CN104917204A - Wind farm active power optimization control method - Google Patents

Wind farm active power optimization control method Download PDF

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Publication number
CN104917204A
CN104917204A CN201510380010.7A CN201510380010A CN104917204A CN 104917204 A CN104917204 A CN 104917204A CN 201510380010 A CN201510380010 A CN 201510380010A CN 104917204 A CN104917204 A CN 104917204A
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wind
motors
control cycle
wind turbines
active power
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CN104917204B (en
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陈曦寒
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Jiangsu Urban Planning And Design Institute Co ltd
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JIANGSU INSTITUTE OF URBAN PLANNING AND DESIGN
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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
    • 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 farm active power optimization control method. By adopting an active power distribution calculation method of the invention, the active power output value of each wind turbine of a wind farm in the next control cycle can be determined. First, operation state data of the wind turbines of the wind farm in the current control cycle, the wind speed in the position where the wind turbines are located in the current control cycle, the power output of the wind turbines in the current control cycle and the predicted wind speed in the position where the wind turbines are located in the next control cycle are acquired, and a wind farm active power plan value issued by a dispatching center is received in real time. A wind farm active power control system reasonably plans the power output values of the wind turbines of the wind farm through an active power control optimization algorithm according to the acquired data of the wind turbines and issues the power output values to all the wind turbines participating in adjustment. Thus, that the active power output value of the whole wind farm tracks the plan value issued by the dispatching center is realized. The power generation capacity of the wind farm is maximized, the start-stop frequency of the wind turbines is reduced, and power output of the wind turbines can be smoothed better.

Description

A kind of active power of wind power field optimal control method
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).This standard requires to have done more detailed regulation to the active power controller of wind energy turbine set, the necessary tool active power regulation ability of above-mentioned networking technical stipulation wind energy turbine set, and can control the output of its active power according to dispatching of power netwoks departmental instruction.In order to realize the control to active power of wind power field, wind energy turbine set need install meritorious power control system, can receive and automatically perform that a traffic department distant place sends meritorious go out force control signal.
Because wind power generation capacity of water depends on the size of wind resource, separate unit Wind turbines and whole audience wind power output have larger fluctuation, and wind energy turbine set needs dispatching requirement to distribute interior each Wind turbines of showing up after accepting control centre's active power dispatch instruction; The frequent movement of control system of wind turbines directly can affect its exert oneself reliability and unit durability.
Summary of the invention
Technical problem to be solved by this invention overcomes the deficiencies in the prior art and provides a kind of active power of wind power field optimal control method, planned value control centre being handed down to wind energy turbine set distributes to every typhoon group of motors, and then the start and stop of each Wind turbines and control objectives value in this wind energy turbine set of reasonable arrangement, the planned value that the active power measured value realizing whole wind energy turbine set issues immediately following control centre, improve the generating efficiency of wind energy turbine set to greatest extent, reduce the rate of change of output of wind electric field, reduce the stop frequency of Wind turbines simultaneously.
The present invention is for solving the problems of the technologies described above by the following technical solutions:
According to a kind of active power of wind power field optimal control method that the present invention proposes, comprise the following steps,
The P that exerts oneself of step (1), collection current control period i-th typhoon group of motors i(t), current control period i-th running status, the current control period active power of wind power field total value P of typhoon group of motors actualt planned value P that (), current control period control centre issue plant (), next control cycle control centre issue planned value P plan(t+1), the prediction of wind speed of next control cycle i-th typhoon group of motors present position the rated output P of the i-th typhoon group of motors r, the i-th typhoon group of motors minimum technology to exert oneself P i min; Wherein, i=1 ..., n, i are the numbering of Wind turbines, and n is the quantity of Wind turbines in wind energy turbine set, and t represents current control period, and t+1 represents next control cycle;
Step (2), the running status of current control period i-th typhoon group of motors gathered according to step (1), carry out classification preliminary treatment by n typhoon group of motors, be divided into grid-connected wind adjustable group of motors, machine halt trouble unit and communication failure unit;
Step (3), the prediction of wind speed of next control cycle i-th typhoon group of motors present position gathered according to step (1) the potentiality of exerting oneself at next control cycle of prediction n typhoon group of motors
Step (4), according to following target function and constraints, calculated the P that exerts oneself of each next control cycle of typhoon group of motors in wind energy turbine set by genetic algorithm i(t+1);
Described target function is:
Wherein, P actual(t+1) be next control cycle output of wind electric field, Q is wind energy turbine set installed capacity, max{ ... for getting max function, λ is weight coefficient;
Rate of change constraint that described constraints comprises output of wind electric field constraint, Wind turbines units limits, active power of wind power field rate of change retrain and Wind turbines is exerted oneself;
Described output of wind electric field constraint is shown below:
Described Wind turbines units limits is shown below:
Described active power of wind power field rate of change constraint is shown below:
|P plan(t+1)-P actual(t+1)|≤ΔP rule；
Wherein, Δ P rulefor the Power Output for Wind Power Field rate of change set-point of the regulation of dispatching of power netwoks department;
Described Wind turbines exert oneself rate of change constraint be shown below:
|P i(t+1)-P i(t)|≤ΔP i,rule；
Wherein, Δ P i, rulebe that the i-th typhoon group of motors is exerted oneself the adjustable limit value of rate of change;
Step (5), the P that exerts oneself of each next control cycle of typhoon group of motors obtained according to step (4) i(t+1), calculate each typhoon group of motors to increase at next control cycle and force value Δ P i(t+1), Δ P i(t+1)=P i(t+1)-P i(t); As Δ P i(t+1) >0 then Wind turbines increase exert oneself, as Δ P i(t+1) <0 then Wind turbines subtract and exert oneself, as Δ P i(t+1)=0 Wind turbines is exerted oneself constant.
As the further prioritization scheme of a kind of active power of wind power field optimal control method of the present invention, described grid-connected adjustable wind generator in the potentiality of exerting oneself of next control cycle is:
Wherein, be next control cycle prediction of wind speed of the i-th typhoon group of motors, ρ is atmospheric density, and S is wind wheel wind sweeping area, v rfor rated wind speed, v ctfor incision wind speed, v ∞for cut-out wind speed, v it () be wind speed residing for the i-th typhoon group of motors, C pfor power coefficient;
Described machine halt trouble unit is 0 in the potentiality of exerting oneself of next control cycle;
Described communication failure unit is P in the potentiality of exerting oneself of next control cycle i(t).
As the further prioritization scheme of a kind of active power of wind power field optimal control method of the present invention, the potentiality of exerting oneself of described wind-driven generator are relevant with the prediction of wind speed of next control cycle.
As the further prioritization scheme of a kind of active power of wind power field optimal control method of the present invention, described target function reduces active power of wind power field rate of change for maximizing, and reduces Wind turbines simultaneously and to exert oneself rate of change.
As the further prioritization scheme of a kind of active power of wind power field optimal control method of the present invention, the described Wind turbines adjustable limit value of rate of change of exerting oneself is relevant with Wind turbines design parameter, current control period Wind turbines present position wind speed and next control cycle Wind turbines present position wind speed.
The present invention adopts above technical scheme compared with prior art, has following technique effect:
(1) the method judges running of wind generating set state by gathering Wind turbines relevant parameter, and calculates active power dispatch distribution instruction in wind energy turbine set, smooth wind power unit output according to the running status optimization of current control period Wind turbines;
(2) in the active power optimal control method that proposes of the present invention, target function, by minimizing output of wind electric field changing value, minimizes each typhoon group of motors simultaneously and to exert oneself the maximum of changing value, namely minimize output of wind electric field fluctuation; Rate of change constraint that constraints part considers output of wind electric field constraint, Wind turbines units limits, active power of wind power field rate of change retrain and Wind turbines is exerted oneself; In existing wind energy turbine set, active power allocation algorithm does not all consider the fluctuation of exerting oneself of output of wind electric field fluctuation and Wind turbines simultaneously, and great majority are only that gross power is carried out simple mean allocation by the installed capacity of each wind energy turbine set;
(3) the present invention is compared with active power allocation algorithm in existing wind energy turbine set, the present invention have employed optimal method to go to solve each next control cycle of typhoon group of motors and go out force value, and the fluctuation of exerting oneself utilizing target function to make to minimize output of wind electric field fluctuation and minimize Wind turbines, the frequent start-stop reducing Wind turbines controls, thus exert oneself in smooth wind power field preferably, this is consistent with the requirement about wind energy turbine set maximum power variation rate in " wind energy turbine set accesses power system technology and specifies (GB/T 19963-2011) ".
Accompanying drawing explanation
Fig. 1 is the flow chart of the inventive method.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
Flow chart as shown in Figure 1, 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 i-th typhoon group of motors i(t), current control period i-th running status, the current control period active power of wind power field total value P of typhoon group of motors actualt planned value P that (), current control period control centre issue plant (), next control cycle control centre issue planned value P plan(t+1), the prediction of wind speed of next control cycle i-th typhoon group of motors present position the rated output P of the i-th typhoon group of motors r, the i-th typhoon group of motors minimum technology to exert oneself P i min; Wherein, i=1 ..., n, i are the numbering of Wind turbines, and n is the quantity of Wind turbines in wind energy turbine set, and t represents current control period, and t+1 represents next control cycle;
Step (2), the running status of current control period i-th typhoon group of motors gathered according to step (1), carry out classification preliminary treatment by n typhoon group of motors, be divided into grid-connected wind adjustable group of motors, machine halt trouble unit and communication failure unit;
Step (3), the prediction of wind speed of next control cycle i-th typhoon group of motors present position gathered according to step (1) the potentiality of exerting oneself at next control cycle of prediction n typhoon group of motors
Described grid-connected adjustable wind generator in the potentiality of exerting oneself of next control cycle is:
Wherein, be next control cycle prediction of wind speed of the i-th typhoon group of motors, ρ is atmospheric density, and S is wind wheel wind sweeping area, v rfor rated wind speed, v ctfor incision wind speed, v ∞for cut-out wind speed, v it () be wind speed residing for the i-th typhoon group of motors, C pfor power coefficient;
Described machine halt trouble unit is 0 in the potentiality of exerting oneself of next control cycle;
Described communication failure unit is P in the potentiality of exerting oneself of next control cycle i(t);
Step (4), according to following target function and constraints, calculated the P that exerts oneself of each next control cycle of typhoon group of motors in wind energy turbine set by genetic algorithm i(t+1);
Described target function is:
Wherein, P actual(t+1) be next control cycle output of wind electric field, Q is wind energy turbine set installed capacity, max{ ... for getting max function, λ is weight coefficient;
Rate of change constraint that described constraints comprises output of wind electric field constraint, Wind turbines units limits, active power of wind power field rate of change retrain and Wind turbines is exerted oneself;
Described output of wind electric field constraint is shown below:
Described Wind turbines units limits is shown below:
Described active power of wind power field rate of change constraint is shown below:
|P plan(t+1)-P actual(t+1)|≤ΔP rule；
Wherein, Δ P rulefor the Power Output for Wind Power Field rate of change set-point of the regulation of dispatching of power netwoks department;
Described Wind turbines exert oneself rate of change constraint be shown below:
|P i(t+1)-P i(t)|≤ΔP i,rule；
Wherein, Δ P i, rulebe that the i-th typhoon group of motors is exerted oneself the adjustable limit value of rate of change;
Step (5), the P that exerts oneself of each next control cycle of typhoon group of motors obtained according to step (4) i(t+1), calculate each typhoon group of motors to increase at next control cycle and force value Δ P i(t+1), Δ P i(t+1)=P i(t+1)-P i(t); As Δ P i(t+1) >0 then Wind turbines increase exert oneself, as Δ P i(t+1) <0 then Wind turbines subtract and exert oneself, as Δ P i(t+1)=0 Wind turbines is exerted oneself constant.
The potentiality of exerting oneself of described wind-driven generator are relevant with the prediction of wind speed of next control cycle.
Described target function reduces active power of wind power field rate of change for maximizing, and reduces Wind turbines simultaneously and to exert oneself rate of change.
The described Wind turbines adjustable limit value of rate of change of exerting oneself is relevant with Wind turbines design parameter, current control period Wind turbines present position wind speed and next control cycle Wind turbines present position wind speed.
In a word, the present invention to exert oneself the data such as situation according to Wind turbines current control period running status, Wind turbines present position wind speed, Wind turbines, the active power simultaneously considering each next control cycle of typhoon group of motors is exerted oneself potentiality, finally calculate each next control cycle of typhoon group of motors and go out force value, and be issued to each typhoon group of motors.Computation model ensure that each typhoon group of motors active power minimum and active power of wind power field of rate of change rate of change of exerting oneself of exerting oneself is minimum preferably.
Above-described embodiment; object of the present invention, technical scheme and beneficial effect are further described; be understood that; the foregoing is only the specific embodiment of the present invention; be not limited to the present invention; within the spirit and principles in the present invention all, any amendment made, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (5)

1. an active power of wind power field optimal control method, is characterized in that, comprises the following steps,
The P that exerts oneself of step (1), collection current control period i-th typhoon group of motors i(t), current control period i-th running status, the current control period active power of wind power field total value P of typhoon group of motors actualt planned value P that (), current control period control centre issue plant (), next control cycle control centre issue planned value P plan(t+1), the prediction of wind speed of next control cycle i-th typhoon group of motors present position the rated output P of the i-th typhoon group of motors r, the i-th typhoon group of motors minimum technology exert oneself wherein, i=1 ..., n, i are the numbering of Wind turbines, and n is the quantity of Wind turbines in wind energy turbine set, and t represents current control period, and t+1 represents next control cycle;
Step (2), the running status of current control period i-th typhoon group of motors gathered according to step (1), carry out classification preliminary treatment by n typhoon group of motors, be divided into grid-connected wind adjustable group of motors, machine halt trouble unit and communication failure unit;
Step (3), the prediction of wind speed of next control cycle i-th typhoon group of motors present position gathered according to step (1) the potentiality of exerting oneself at next control cycle of prediction n typhoon group of motors
Step (4), according to following target function and constraints, calculated the P that exerts oneself of each next control cycle of typhoon group of motors in wind energy turbine set by genetic algorithm i(t+1);
Described target function is:
min &lambda; &CenterDot; | P p l a n ( t + 1 ) - P a c t u a l ( t + 1 ) | Q + ( 1 - &lambda; ) &CenterDot; max { | P 1 ( t + 1 ) - P 1 ( t ) | P r , ... , | P i ( t + 1 ) - P i ( t ) | P r , ... , | P n ( t + 1 ) - P n ( t ) | P r }
Wherein, P actual(t+1) be next control cycle output of wind electric field, Q is wind energy turbine set installed capacity, max{ ... for getting max function, λ is weight coefficient;
Rate of change constraint that described constraints comprises output of wind electric field constraint, Wind turbines units limits, active power of wind power field rate of change retrain and Wind turbines is exerted oneself;
Described output of wind electric field constraint is shown below:
P a c t u a l ( t + 1 ) = &Sigma; i = 1 n P i ( t + 1 ) ;
Described Wind turbines units limits is shown below:
P i min &le; P i ( t + 1 ) &le; P ^ i ( t + 1 ) &le; P r ;
Described active power of wind power field rate of change constraint is shown below:
|P plan(t+1)-P actual(t+1)|≤ΔP rule；
Wherein, Δ P rulefor the Power Output for Wind Power Field rate of change set-point of the regulation of dispatching of power netwoks department;
Described Wind turbines exert oneself rate of change constraint be shown below:
|P i(t+1)-P i(t)|≤ΔP i,rule；
Wherein, Δ P i, rulebe that the i-th typhoon group of motors is exerted oneself the adjustable limit value of rate of change;
Step (5), the P that exerts oneself of each next control cycle of typhoon group of motors obtained according to step (4) i(t+1), calculate each typhoon group of motors to increase at next control cycle and force value Δ P i(t+1), Δ P i(t+1)=P i(t+1)-P i(t); As Δ P i(t+1) >0 then Wind turbines increase exert oneself, as Δ P i(t+1) <0 then Wind turbines subtract and exert oneself, as Δ P i(t+1)=0 Wind turbines is exerted oneself constant.
2. a kind of active power of wind power field optimal control method according to claim 1, is characterized in that, described grid-connected adjustable wind generator in the potentiality of exerting oneself of next control cycle is: 0 , v ^ i ( t + 1 ) < v c t , v ^ i ( t + 1 ) > v &infin; 1 2 C p &rho; S v ^ i 3 ( t + 1 ) , v c t < v ^ i ( t + 1 ) < v r P r , v r < v ^ i ( t + 1 ) < v &infin; ;
Wherein, be next control cycle prediction of wind speed of the i-th typhoon group of motors, ρ is atmospheric density, and S is wind wheel wind sweeping area, v rfor rated wind speed, v ctfor incision wind speed, v ∞for cut-out wind speed, v it () be wind speed residing for the i-th typhoon group of motors, C pfor power coefficient;
Described machine halt trouble unit is 0 in the potentiality of exerting oneself of next control cycle;
Described communication failure unit is P in the potentiality of exerting oneself of next control cycle i(t).
3. a kind of active power of wind power field optimal control method according to claim 1, is characterized in that, the potentiality of exerting oneself of described wind-driven generator are relevant with the prediction of wind speed of next control cycle.
4. a kind of active power of wind power field optimal control method according to claim 1, is characterized in that, described target function reduces active power of wind power field rate of change for maximizing, and reduces Wind turbines simultaneously and to exert oneself rate of change.
5. a kind of active power of wind power field optimal control method according to claim 1, it is characterized in that, the described Wind turbines adjustable limit value of rate of change of exerting oneself is relevant with Wind turbines design parameter, current control period Wind turbines present position wind speed and next control cycle Wind turbines present position wind speed.
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Cited By (10)

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CN105356490A (en) * 2015-12-03 2016-02-24 中国电力科学研究院 Direct-current parallel type wind farm active power coordinated control method
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
CN107332287A (en) * 2017-07-10 2017-11-07 华电电力科学研究院 A kind of novel air motor group of planes active power optimization distributor and its optimizing distribution method
WO2018120652A1 (en) * 2016-12-26 2018-07-05 北京金风科创风电设备有限公司 Method and device for allocating active power of wind farm
CN109347122A (en) * 2018-11-21 2019-02-15 国电联合动力技术有限公司 Wind power plant template processing machine participates in the intelligent control method and its control system of active adjusting
CN109416019A (en) * 2016-07-06 2019-03-01 维斯塔斯风力***集团公司 Wind power plant with multiple wind turbine generators and power plant controller
CN110502058A (en) * 2019-08-21 2019-11-26 国电南瑞南京控制***有限公司 A kind of active power of wind power field change rate control system
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
CN112215425A (en) * 2020-10-16 2021-01-12 国网冀北电力有限公司 Method and device for scheduling active power of wind power cluster
CN113541201A (en) * 2021-07-21 2021-10-22 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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CN103219751A (en) * 2013-05-08 2013-07-24 东南大学 Control method of active power of clustered wind power plants
CN103296701A (en) * 2013-05-09 2013-09-11 国家电网公司 Active power control method in wind power plant

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CN103219751A (en) * 2013-05-08 2013-07-24 东南大学 Control method of active power of clustered wind power plants
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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105356490A (en) * 2015-12-03 2016-02-24 中国电力科学研究院 Direct-current parallel type wind farm active power coordinated control method
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
CN109416019A (en) * 2016-07-06 2019-03-01 维斯塔斯风力***集团公司 Wind power plant with multiple wind turbine generators and power plant controller
CN109416019B (en) * 2016-07-06 2020-05-05 维斯塔斯风力***集团公司 Wind power plant with multiple wind turbine generators and a power plant 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
WO2018120652A1 (en) * 2016-12-26 2018-07-05 北京金风科创风电设备有限公司 Method and device for allocating active power of wind farm
US11114864B2 (en) 2016-12-26 2021-09-07 Beijing Goldwind Science & Creation Windpower Equipment Co., Ltd Method and device for distributing active power for wind farm
CN107332287A (en) * 2017-07-10 2017-11-07 华电电力科学研究院 A kind of novel air motor group of planes active power optimization distributor and its optimizing distribution method
CN109347122A (en) * 2018-11-21 2019-02-15 国电联合动力技术有限公司 Wind power plant template processing machine participates in the intelligent control method and its control system of active adjusting
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
CN110502058A (en) * 2019-08-21 2019-11-26 国电南瑞南京控制***有限公司 A kind of active power of wind power field change rate control system
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
CN112215425A (en) * 2020-10-16 2021-01-12 国网冀北电力有限公司 Method and device for scheduling active power of wind power cluster
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
CN113541201A (en) * 2021-07-21 2021-10-22 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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