CN104917204A - Wind farm active power optimization control method - Google Patents
Wind farm active power optimization control method Download PDFInfo
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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
Technical Field
The invention relates to the technical field of power systems and automation thereof, in particular to an active power optimization control method for a wind power plant.
Background
In 2011, the national standardization administration committee issued 2011 national Standard bulletin No. 23, which approved the technical Specification for wind farm Access to Power systems (GB/T19963-2011). The standard makes a more detailed regulation on the active power control requirement of the wind power plant, and the networking technology regulates that the wind power plant has the active power regulation capability and can control the active power output according to the instruction of a power grid dispatching department. In order to realize the control of the active power of the wind power plant, an active power control system is required to be installed in the wind power plant, and an active output control signal sent by a remote dispatching department can be received and automatically executed.
Because the wind power generation capacity depends on the size of wind power resources, the output of a single wind power unit and the output of the whole wind power unit have large fluctuation, and the wind power plant needs to distribute the dispatching requirement to each wind power unit in the plant after receiving an active dispatching instruction of a dispatching center; frequent actions of the wind turbine generator control system directly affect the output reliability and the service life of the wind turbine generator.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an active power optimization control method for a wind power plant, which distributes a planned value issued by a dispatching center to the wind power plant to each wind power plant, further reasonably arranges starting and stopping and control target values of each wind power plant in the wind power plant, realizes that an active power measured value of the whole wind power plant follows the planned value issued by the dispatching center, improves the generating efficiency of the wind power plant to the maximum extent, reduces the output change rate of the wind power plant, and reduces the starting and stopping frequency of the wind power plants.
The invention adopts the following technical scheme for solving the technical problems:
the active power optimization control method for the wind power plant provided by the invention comprises the following steps,
step (1), collecting the output P of the ith wind turbine generator set in the current control periodi(t), the running state of the ith wind turbine generator set in the current control period and the total active power value P of the wind power plant in the current control periodactual(t) plan value P issued by current control period dispatching centerplan(t) the next control period dispatching center issues a plan value Pplan(t +1) predicted wind speed of the ith wind turbine generator set in the position of the next control cycleRated output P of ith wind turbine generator setrMinimum technical output P of ith wind turbine generator seti min(ii) a Wherein i is 1, …, n, i is the number of the wind turbine generator, n is the number of the wind turbine generator in the wind farm, t represents the current control period, and t +1 represents the next control period;
step (2), classifying and preprocessing n wind turbine generators according to the operation state of the ith wind turbine generator in the current control period acquired in the step (1), and dividing the n wind turbine generators into a grid-connected adjustable wind turbine generator, a shutdown fault unit and a communication fault unit;
step (3) according to the predicted wind speed of the position where the ith wind turbine generator is located in the next control period collected in the step (1)Predicting the output potential of n wind turbines in the next control cycle
And (4) calculating the output P of each wind turbine generator in the next control period in the wind power plant through a genetic algorithm according to the following objective function and constraint conditionsi(t+1)；
The objective function is:
wherein, Pactual(t +1) is the output of the wind power plant in the next control period, Q is the installed capacity of the wind power plant, max { … } is a maximum function, and lambda is a weight coefficient;
the constraint conditions comprise wind power plant output constraint, wind turbine generator output constraint, wind power plant active power change rate constraint and wind turbine generator output change rate constraint;
the wind farm output constraint is as follows:
the output constraint of the wind turbine generator is as follows:
the constraint of the active power change rate of the wind power plant is shown as the following formula:
|Pplan(t+1)-Pactual(t+1)|≤ΔPrule；
wherein, Δ PruleSetting a given value of the output power change rate of a specified wind power plant of a power grid dispatching department;
the output change rate constraint of the wind turbine generator is as follows:
|Pi(t+1)-Pi(t)|≤ΔPi,rule；
wherein, Δ Pi,ruleThe output change rate of the ith wind turbine generator set is an adjustable limit value;
step (5), the output P of each wind turbine generator set in the next control period obtained in the step (4) is obtainedi(t +1), calculating the increasing force value delta P of each wind generating set in the next control periodi(t+1)，ΔPi(t+1)＝Pi(t+1)-Pi(t); when Δ Pi(t+1)>0, increasing the power of the wind turbine generator, when the power is delta Pi(t+1)<0 is the wind turbine generator power reduced when the delta PiAnd if (t +1) ═ 0, the output of the wind turbine generator is unchanged.
As a further optimization scheme of the active power optimization control method for the wind power plant, the output potential of the grid-connected adjustable wind driven generator in the next control period is as follows:
wherein,predicting the wind speed for the next control period of the ith wind turbine generator system, wherein rho is the air density, S is the wind wheel wind sweeping area, vrRated wind speed, vctFor cutting into the wind speed, v∞To cut out wind speed, vi(t) is the wind speed of the ith wind turbine generator set, CpThe wind energy utilization coefficient;
the output potential of the shutdown fault unit in the next control period is 0;
the output potential of the communication fault unit in the next control period is Pi(t)。
As a further optimization scheme of the active power optimization control method for the wind power plant, the output potential of the wind driven generator is related to the predicted wind speed of the next control period.
As a further optimization scheme of the wind power plant active power optimization control method, the objective function is used for reducing the active power change rate of the wind power plant to the maximum extent and reducing the output change rate of the wind turbine generator.
As a further optimization scheme of the active power optimization control method for the wind power plant, the adjustable limit value of the output change rate of the wind turbine generator is related to the design parameters of the wind turbine generator, the wind speed of the position where the wind turbine generator is located in the current control period and the wind speed of the position where the wind turbine generator is located in the next control period.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects:
(1) the method comprises the steps of judging the running state of the wind turbine generator by collecting related parameters of the wind turbine generator, optimally calculating an active scheduling distribution instruction in the wind power plant according to the running state of the wind turbine generator in the current control period, and smoothing the output of the wind turbine generator;
(2) according to the active power optimization control method, the target function minimizes the output change value of the wind power plant and simultaneously minimizes the maximum value of the output change value of each wind power generation unit, namely the output fluctuation of the wind power plant is minimized; the constraint condition part considers the output constraint of the wind power plant, the output constraint of the wind turbine generator, the active power change rate constraint of the wind power plant and the output change rate constraint of the wind turbine generator; the existing active power distribution algorithm in the wind power plant does not consider the output fluctuation of the wind power plant and the output fluctuation of a wind power unit at the same time, and most of the active power distribution algorithms only simply distribute the total power evenly according to the installed capacity of each wind power plant;
(3) compared with the existing active power distribution algorithm in the wind power plant, the method adopts an optimization method to solve the output value of each wind power unit in the next control period, utilizes the objective function to minimize the output fluctuation of the wind power plant and the output fluctuation of the wind power units, and reduces the frequent start-stop control of the wind power units, so that the output of the wind power plant is better smoothed, which is consistent with the requirements on the maximum power change rate of the wind power plant in the technical specification of accessing the wind power plant into the power system (GB/T19963 plus 2011).
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
The technical scheme of the invention is further explained in detail by combining the attached drawings:
as shown in the flowchart of fig. 1, the active power control method for the cluster wind farm of the present invention includes the following steps:
step (1), collecting the output P of the ith wind turbine generator set in the current control periodi(t), the running state of the ith wind turbine generator set in the current control period and the total active power value P of the wind power plant in the current control periodactual(t) plan value P issued by current control period dispatching centerplan(t) the next control period dispatching center issues a plan value Pplan(t +1) predicted wind speed of the ith wind turbine generator set in the position of the next control cycleRated output P of ith wind turbine generator setrMinimum technical output P of ith wind turbine generator seti min(ii) a Wherein i is 1, …, n, i is the number of the wind turbine generator, n is the number of the wind turbine generator in the wind farm, t represents the current control period, and t +1 represents the next control period;
step (2), classifying and preprocessing n wind turbine generators according to the operation state of the ith wind turbine generator in the current control period acquired in the step (1), and dividing the n wind turbine generators into a grid-connected adjustable wind turbine generator, a shutdown fault unit and a communication fault unit;
step (3) according to the predicted wind speed of the position where the ith wind turbine generator is located in the next control period collected in the step (1)Predicting the output potential of n wind turbines in the next control cycle
The output potential of the grid-connected adjustable wind driven generator in the next control period is as follows:
wherein,predicting the wind speed for the next control period of the ith wind turbine generator system, wherein rho is the air density, S is the wind wheel wind sweeping area, vrRated wind speed, vctFor cutting into the wind speed, v∞To cut out wind speed, vi(t) is the wind speed of the ith wind turbine generator set, CpThe wind energy utilization coefficient;
the output potential of the shutdown fault unit in the next control period is 0;
the output potential of the communication fault unit in the next control period is Pi(t)；
And (4) calculating the output P of each wind turbine generator in the next control period in the wind power plant through a genetic algorithm according to the following objective function and constraint conditionsi(t+1)；
The objective function is:
wherein, Pactual(t +1) is the output of the wind power plant in the next control period, Q is the installed capacity of the wind power plant, max { … } is a maximum function, and lambda is a weight coefficient;
the constraint conditions comprise wind power plant output constraint, wind turbine generator output constraint, wind power plant active power change rate constraint and wind turbine generator output change rate constraint;
the wind farm output constraint is as follows:
the output constraint of the wind turbine generator is as follows:
the constraint of the active power change rate of the wind power plant is shown as the following formula:
|Pplan(t+1)-Pactual(t+1)|≤ΔPrule；
wherein, Δ PruleSetting a given value of the output power change rate of a specified wind power plant of a power grid dispatching department;
the output change rate constraint of the wind turbine generator is as follows:
|Pi(t+1)-Pi(t)|≤ΔPi,rule；
wherein, Δ Pi,ruleThe output change rate of the ith wind turbine generator set is an adjustable limit value;
step (5), the output P of each wind turbine generator set in the next control period obtained in the step (4) is obtainedi(t +1), calculating the increasing force value delta P of each wind generating set in the next control periodi(t+1)，ΔPi(t+1)＝Pi(t+1)-Pi(t); when Δ Pi(t+1)>0, increasing the power of the wind turbine generator, when the power is delta Pi(t+1)<0 is the wind turbine generator power reduced when the delta PiAnd if (t +1) ═ 0, the output of the wind turbine generator is unchanged.
The output potential of the wind turbine is related to the predicted wind speed for the next control period.
The objective function is used for reducing the active power change rate of the wind power plant to the maximum extent and reducing the output change rate of the wind turbine generator at the same time.
The adjustable limit value of the output change rate of the wind turbine generator is related to the design parameters of the wind turbine generator, the wind speed of the position where the wind turbine generator is located in the current control period and the wind speed of the position where the wind turbine generator is located in the next control period.
In a word, according to the data such as the current control period operation state of the wind turbine generator, the position wind speed of the wind turbine generator, the output condition of the wind turbine generator and the like, the active power output potential of each wind turbine generator in the next control period is considered, and finally, the output value of each wind turbine generator in the next control period is calculated and sent to each wind turbine generator. The calculation model well ensures that the active power output change rate of each wind turbine generator set is minimum and the active power output change rate of the wind power plant is minimum.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the present invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A wind power plant active power optimization control method is characterized by comprising the following steps,
step (1), collecting the output P of the ith wind turbine generator set in the current control periodi(t), the running state of the ith wind turbine generator set in the current control period and the total active power value P of the wind power plant in the current control periodactual(t) plan value P issued by current control period dispatching centerplan(t) the next control period dispatching center issues a plan value Pplan(t +1) predicted wind speed of the ith wind turbine generator set in the position of the next control cycleRated output P of ith wind turbine generator setrMinimum technical output of ith wind turbine generator setWherein i is 1, …, n, i is the number of the wind turbine generator, n is the number of the wind turbine generator in the wind farm, t represents the current control period, and t +1 represents the next control period;
step (2), classifying and preprocessing n wind turbine generators according to the operation state of the ith wind turbine generator in the current control period acquired in the step (1), and dividing the n wind turbine generators into a grid-connected adjustable wind turbine generator, a shutdown fault unit and a communication fault unit;
step (3) according to the predicted wind speed of the position where the ith wind turbine generator is located in the next control period collected in the step (1)Predicting the output potential of n wind turbines in the next control cycle
And (4) calculating the output P of each wind turbine generator in the next control period in the wind power plant through a genetic algorithm according to the following objective function and constraint conditionsi(t+1)；
The objective function is:
wherein, Pactual(t +1) is the wind farm output for the next control cycle, Q is the installed capacity of the wind farm, max (…) }Taking a maximum function, wherein lambda is a weight coefficient;
the constraint conditions comprise wind power plant output constraint, wind turbine generator output constraint, wind power plant active power change rate constraint and wind turbine generator output change rate constraint;
the wind farm output constraint is as follows:
the output constraint of the wind turbine generator is as follows:
the constraint of the active power change rate of the wind power plant is shown as the following formula:
|Pplan(t+1)-Pactual(t+1)|≤ΔPrule；
wherein, Δ PruleSetting a given value of the output power change rate of a specified wind power plant of a power grid dispatching department;
the output change rate constraint of the wind turbine generator is as follows:
|Pi(t+1)-Pi(t)|≤ΔPi,rule；
wherein, Δ Pi,ruleThe output change rate of the ith wind turbine generator set is an adjustable limit value;
step (5), the output P of each wind turbine generator set in the next control period obtained in the step (4) is obtainedi(t +1), calculating the increasing force value delta P of each wind generating set in the next control periodi(t+1)，ΔPi(t+1)＝Pi(t+1)-Pi(t); when Δ Pi(t+1)>0, increasing the power of the wind turbine generator, when the power is delta Pi(t+1)<0 is the wind turbine generator power reduced when the delta PiAnd if (t +1) ═ 0, the output of the wind turbine generator is unchanged.
2. The wind power plant active power optimization control method according to claim 1, wherein the output potential of the grid-connected adjustable wind driven generator in the next control period is as follows: <math>
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wherein,predicting the wind speed for the next control period of the ith wind turbine generator system, wherein rho is the air density, S is the wind wheel wind sweeping area, vrRated wind speed, vctFor cutting into the wind speed, v∞To cut out wind speed, vi(t) is the wind speed of the ith wind turbine generator set, CpThe wind energy utilization coefficient;
the output potential of the shutdown fault unit in the next control period is 0;
the output potential of the communication fault unit in the next control period is Pi(t)。
3. The method for optimal control of active power of a wind farm according to claim 1, wherein the output potential of the wind turbine is related to the predicted wind speed for the next control period.
4. The wind farm active power optimization control method according to claim 1, wherein the objective function is used for maximally reducing the wind farm active power change rate and simultaneously reducing the wind turbine output change rate.
5. The method for optimally controlling the active power of the wind power plant according to claim 1, wherein the adjustable limit value of the output change rate of the wind power generation unit is related to design parameters of the wind power generation unit, the wind speed of the position where the wind power generation unit is located in the current control period and the wind speed of the position where the wind power generation unit is located in the next control period.
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| 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 |
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| 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 | 国电南瑞南京控制系统有限公司 | 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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