CN102368617A - Storage battery control method smoothing power fluctuation based on wind power prediction and system thereof - Google Patents
Storage battery control method smoothing power fluctuation based on wind power prediction and system thereof Download PDFInfo
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- CN102368617A CN102368617A CN2011103083820A CN201110308382A CN102368617A CN 102368617 A CN102368617 A CN 102368617A CN 2011103083820 A CN2011103083820 A CN 2011103083820A CN 201110308382 A CN201110308382 A CN 201110308382A CN 102368617 A CN102368617 A CN 102368617A
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- 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
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- Y02E10/76—Power conversion electric or electronic aspects
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
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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
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Abstract
The invention discloses a storage battery control system smoothing power fluctuation based on wind power prediction. The system comprises a data collector, a wind power prediction system, a data analyzer, a control module, a storage battery, a wind power generation field, and a breaker. The data collector acquires active power outputted by the wind power generation field and a charged state of the storage battery, and sends a result to the wind power prediction system and the data analyzer. According to received data, actual data of a previous time segment and a predicted value, the wind power prediction system carries out prediction on a present time segment and sends a result to the data analyzer. According to the received data, the data analyzer carries out comparison determination and outputs a control instruction to the control module according to a comparison result. An output terminal of the control module connects with the breaker which connects the storage battery with an electrical network. The control module controls connection and disconnection of the breaker according to an instruction. According to the system, power fluctuation and cell capacity can be reduced, and electric energy quality can be improved. The invention also discloses a storage battery control method.
Description
Technical field
The present invention relates to a kind of be used to the solve output pulsation of wind energy turbine set power and the control method and the system that reduce battery capacity, belong to and improve wind energy turbine set quality of power supply field.
Background technology
Because wind-powered electricity generation receives the influence of nature meteorological condition bigger; So the power output pulsation of wind power plant (also being wind energy turbine set) is very big; The deviation and the stable problem that therefore possibly cause mains frequency, voltage have increased the difficulty of power system dispatching, deposit and the control of quality of power supply index of correlation simultaneously.
In order to alleviate the influence of fluctuating and bringing to electric power system by wind power; The energy-storage system expectation is widely used in the wind energy turbine set; The energy-storage system capacity is the cost of conference increase wind generator system too; Therefore according to system requirements, it is significant to economy, the safe and stable operation of wind power system to manage to reduce storage volume.
In view of this, the inventor furthers investigate to the control mode and the principle of storage battery in the system of existing wind power plant and storage battery composition, and through repeatedly improving, this case produces thus.
Summary of the invention
Technical problem to be solved by this invention is to defective and deficiency in the aforementioned background art, and a kind of accumulator control method and system based on the level and smooth power fluctuation of wind power prediction is provided, and its cpable of lowering power fluctuation and battery capacity improve the quality of power supply.
The present invention is for solving above technical problem, and the technical scheme that is adopted is:
A kind of storage battery control system based on the level and smooth power fluctuation of wind power prediction; Comprise data acquisition unit, wind power prediction system, data-analyzing machine, control module, storage battery, wind energy turbine set and circuit breaker; Wherein, Data acquisition unit is gathered the active power of wind energy turbine set output and the state-of-charge of storage battery, and the result is sent into wind power prediction system and data-analyzing machine respectively; The wind power prediction system predicts the current period according to the data that receive and the real data and the predicted value of previous time period, and the result is sent into data-analyzing machine; The output link control module of data-analyzing machine compares judgement according to the data that receive, and exports control command according to comparative result to control module; The output of control module connects circuit breaker, and circuit breaker is connected between storage battery and the electrical network, and control module is according to the break-make of the commands for controlling circuit breaker that receives.
A kind of accumulator control method based on the level and smooth power fluctuation of wind power prediction comprises the steps:
(1) gathers the active power P that wind energy turbine set is exported
gState-of-charge SOC with storage battery;
(2) the full state SOC of detection storage battery
TmaxWith maximum depth of discharge state SOC
Tmin, and judge whether SOC is in SOC
TmaxAnd SOC
TminBetween, if, then keeping the work at present state of storage battery constant, otherwise will break off being connected of storage battery and electrical network, the control storage battery is out of service;
(3) at 0～t
1In time period, the wind power prediction system utilize wind energy turbine set in the actual power of previous time period and power prediction value to 0～t
1Time period carries out power prediction and obtains wind power prediction value P
T1, and require β to calculate the level and smooth higher limit P of power according to smoothness
T1maxWith the level and smooth lower limit P of power
T1min
(4) the power output P of judgement wind energy turbine set
gWhether at P
T1maxWith P
T1minBetween, work as P
g>=P
T1maxThe time, storage battery is put into operation and is in charged state, further judge the actual state-of-charge SOC and the SOC of storage battery then
TmaxMagnitude relationship, when SOC reaches SOC
TmaxThe time, the capacity that expands storage battery 5 is till satisfying the smoothness requirement;
Work as P
g≤P
T1minThe time, storage battery is put into operation and is in discharge condition, further judge the state-of-charge SOC and the SOC of storage battery then
TminMagnitude relationship, when SOC drops to SOC
TminThe time, the capacity that expands storage battery 5 is till satisfying the smoothness requirement;
(5) arrive t
1Constantly, be recycled to step (1).
After adopting such scheme; The present invention is at first from system that wind energy turbine set and storage battery are formed; The active power of this system's output and the residual capacity of storage battery are analyzed; Utilize predicted method to obtain the predicted power of each time period, the instruction of according to the predicted power proposition that obtains the operation conditions of storage battery being controlled again is with the power fluctuation that reaches the smooth wind power field, the purpose that reduces battery capacity and improve the quality of power supply; Secondly, the three-phase bridge circuit that adopts the control of PWM control technology to form by full-control type device for power switching IGBT, thus improved power factor.
Description of drawings
Fig. 1 is the overall structure block diagram that the present invention is based on the storage battery control system of wind power prediction smoothening power fluctuation of wind power station;
Fig. 2 is the control structure figure that the present invention is based on AC/DC current transformer in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station;
Fig. 3 is the structure chart that the present invention is based on DC/DC current transformer in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station;
Fig. 4 is the control block diagram that the present invention is based on DC/DC current transformer in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station;
Fig. 5 the present invention is based on active power and the predicted power that wind energy turbine set is sent in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station;
Fig. 6 the present invention is based on the active power that wind energy turbine set obtains in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station after the level and smooth control of storage battery power;
Fig. 7 the present invention is based in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station, 48 hours actual active power of sending of wind energy turbine set;
Fig. 8 the present invention is based in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station; Utilize the wind power prediction method; The predicted time cycle is 4 hours, smoothness β=20% o'clock, the active power that wind energy turbine set obtains after the level and smooth control of storage battery power;
Fig. 9 the present invention is based in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station, utilizes the wind power prediction method, and the predicted time cycle is 4 hours, smoothness β=20% o'clock, the change curve of the state-of-charge SOC of storage battery;
Figure 10 the present invention is based in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station; Utilize the wind power prediction method; The predicted time cycle is 2 hours, smoothness β=20% o'clock, the active power that wind energy turbine set obtains after the level and smooth control of storage battery power;
Figure 11 the present invention is based in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station, utilizes the wind power prediction method, and the predicted time cycle is 2 hours, smoothness β=20% o'clock, the change curve of the state-of-charge SOC of storage battery;
Figure 12 the present invention is based in the storage battery control system of wind power prediction smoothening power fluctuation of wind power station, the predicted time cycle that obtains through simulation calculation and the relation curve of battery capacity.
Among the figure: 1 is data acquisition unit; 2 is the wind power prediction system; 3 is data-analyzing machine; 4 is control module; 5 is storage battery; 6 is the DC/DC current transformer; 7 is the AC/DC current transformer; 8 are coordinate transform; 9 is wind energy turbine set; 10 is circuit breaker; 11 is electrical network.
Embodiment
Below with reference to accompanying drawing, particular content of the present invention and beneficial effect are elaborated.
Cooperate shown in Figure 1; It is the structured flowchart that the present invention is based on the storage battery control system of the level and smooth power fluctuation of wind power prediction; Comprise data acquisition unit 1, wind power prediction system 2, data-analyzing machine 3, control module 4, storage battery 5, wind energy turbine set 9 and circuit breaker 10; Wherein, data acquisition unit 1 is used to gather the active power of wind energy turbine set 9 outputs and the state-of-charge of storage battery 5, and the result is sent into wind power prediction system 2 and data-analyzing machine 3 respectively; Wind power prediction system 2 predicts the current period according to the data that receive and the real data and the predicted value of previous time period, and the result is sent into data-analyzing machine 3; The output link control module 4 of data-analyzing machine 3 compares judgement according to the data that receive, and exports control commands according to comparative result to control module 4; The output of control module 4 connects circuit breaker 10, and circuit breaker 10 is connected between storage battery 5 and the electrical network 11, and control module 4 is according to the break-make of the commands for controlling circuit breaker 10 that receives, thus the electric power thus supplied of 5 pairs of electrical networks 11 of control storage battery.
Below will combine diagram, the content based on the control method of aforementioned control system will be elaborated.The step of said control method is:
(1) utilize data acquisition unit 1 to gather the active power P of wind energy turbine set 9 outputs
gWith the state-of-charge SOC (state of charge) of storage battery 5, send into wind power prediction system 2 and data-analyzing machine 3 simultaneously;
(2) the full state SOC of detection storage battery 5
TmaxWith maximum depth of discharge state SOC
Tmin, and judge by control module 4 whether SOC is in SOC
TmaxAnd SOC
TminBetween, if, then keeping the work at present state of storage battery 5 constant, otherwise will send instruction to circuit breaker 10, disconnection storage battery 5 is connected with electrical network 11, and control storage battery 5 is out of service;
(3) at 0～t
1In time period, wind power prediction system 2 utilize wind energy turbine set 9 in the actual power of previous time period and power prediction value to 0～t
1Time period carries out power prediction and obtains wind power prediction value P
T1, and predicted value sent into data-analyzing machine 3, require β to calculate the level and smooth higher limit P of power by data-analyzing machine 3 according to smoothness
T1maxWith the level and smooth lower limit P of power
T1min, specifically, establish P
T1=0.5 (P
T1max+ P
T1min), P then
T1max=(1+0.5 β) P
T1, P
T1min=(1-0.5 β) P
T1
Regard wind energy turbine set as a load that absorbs negative active power, according to the requirement of regional power grid scheduling, the accuracy rate A of short-term load forecasting
1Satisfy:
Wherein, n is the sampling number in a predetermined period, E
iBe certain any relative error, computing formula is:
When calculating according to two extreme conditions, i.e. P
T1In one-period, keep minimum value P
T1min, this moment E
i=β/(2-β) is through calculating β smaller or equal to 19%, when according to P
T1maxDuring calculating, β so the β maximum can not surpass 23%, calculates P smaller or equal to 23%
T1maxAnd P
T1minValue;
(4) pass through the power output P that data-analyzing machine 3 is judged wind energy turbine set 9
gWhether at P
T1maxWith P
T1minBetween, as shown in Figure 2, work as P
g>=P
T1maxThe time, the power that expression wind energy turbine set 6 is sent is too much, needs unnecessary power is stored, and put storage battery 5 into operation and be in charged state this moment, further judges the actual state-of-charge SOC and the SOC of storage battery 5 then
TmaxMagnitude relationship, when SOC reaches SOC
TmaxThe time, expression storage battery 5 is in full state, and the capacity that expands storage battery 5 this moment is till satisfying the smoothness requirement;
Work as P
g≤P
T1minThe time, the underpower that sends of expression wind energy turbine set 9 need be filled up this part power, therefore storage battery 5 is put into operation and is in discharge condition, further judges the state-of-charge SOC and the SOC of storage battery 5 then
TminMagnitude relationship, when SOC drops to SOC
TminThe time, expression storage battery 5 is in maximum depth of discharge state, and the capacity that expands storage battery 5 this moment is till satisfying the smoothness requirement;
(5) AC/DC current transformer 7 adopts Direct Current Control, converts three-phase voltage, the electric current of AC side into dq two phases, i.e. U through coordinate converter 8
dAnd U
q, I
dAnd I
qI wherein
dBe active current, with active power P
IBe directly proportional and P is arranged
I=1.5U
dI
d, I
qBe reactive current, with reactive power Q
IBe directly proportional and Q is arranged
I=-1.5U
dI
qU
dBe d shaft voltage, U
qBe the q shaft voltage;
(6) during charge in batteries, with I
Dref=(P-P
Max)/1.5U
dAs I
dReference value, and I
DrefFor on the occasion of; During battery discharging, I
Dref=(P-P
Min)/1.5U
dAs I
dReference value, and I
DrefBe negative value; I
Qref=0 as I
qReference value, so just can keep reactive power constant is 0, to I
d, I
qCarry out tracking Control and obtain pwm switching signal, with pwm switching signal control AC/DC current transformer;
(7) DC/DC current transformer 6 has two kinds of mode of operations, and is as shown in Figure 3, and when battery charge, two-way DC/DC current transformer works in the Buck circuit-mode; When battery discharge was released ability, two-way DC/DC converter should work in the Boost circuit-mode, and was as shown in Figure 4, when two-way DC/DC converter is operated in the Buck circuit-mode, and S
1Be operated in the PWM pattern, S
2All the time turn-off; When two-way DC/DC converter is operated in the Boost circuit-mode, S
1All the time turn-off S
2Be operated in the PWM pattern;
(8) run to t when system
1Constantly, be recycled to step (1).
Cooperate shown in Figure 5, if with P
g, P
tActive power and the predicted power sent for the system either electric field, then the curve of the active power that after the level and smooth control of storage battery power, obtains of this system either electric field is as shown in Figure 6.
In conjunction with 48 hours practical operation situation of certain wind energy turbine set is example.As shown in Figure 7; Be 48 hours actual active power of sending of wind energy turbine set; If utilize the wind power prediction method, the predicted time cycle is 4 hours, smoothness β=20% o'clock; The active power that wind energy turbine set obtains after the level and smooth control of storage battery power is as shown in Figure 8, and the change curve of the state-of-charge SOC of storage battery is as shown in Figure 9 at this moment.If utilize the wind power prediction method, the predicted time cycle is 2 hours, smoothness β=20% o'clock, and the active power that wind energy turbine set obtains after the level and smooth control of storage battery power is shown in figure 10, and this moment, the change curve of state-of-charge SOC of storage battery was shown in figure 11.The predicted time cycle that obtains through simulation calculation and the relation curve of battery capacity are shown in figure 12.
Above embodiment is merely explanation technological thought of the present invention, can not limit protection scope of the present invention with this, every technological thought that proposes according to the present invention, and any change of on the technical scheme basis, being done all falls within the protection range of the present invention.
Claims (2)
1. storage battery control system based on the level and smooth power fluctuation of wind power prediction; It is characterized in that: comprise data acquisition unit, wind power prediction system, data-analyzing machine, control module, storage battery, wind energy turbine set and circuit breaker; Wherein, Data acquisition unit is gathered the active power of wind energy turbine set output and the state-of-charge of storage battery, and the result is sent into wind power prediction system and data-analyzing machine respectively; The wind power prediction system predicts the current period according to the data that receive and the real data and the predicted value of previous time period, and the result is sent into data-analyzing machine; The output link control module of data-analyzing machine compares judgement according to the data that receive, and exports control command according to comparative result to control module; The output of control module connects circuit breaker, and circuit breaker is connected between storage battery and the electrical network, and control module is according to the break-make of the commands for controlling circuit breaker that receives.
2. the control method of the storage battery control system based on the level and smooth power fluctuation of wind power prediction as claimed in claim 1 is characterized in that comprising the steps:
(1) gathers the active power P that wind energy turbine set is exported
gState-of-charge SOC with storage battery;
(2) the full state SOC of detection storage battery
TmaxWith maximum depth of discharge state SOC
Tmin, and judge whether SOC is in SOC
TmaxAnd SOC
TminBetween, if, then keeping the work at present state of storage battery constant, otherwise will break off being connected of storage battery and electrical network, the control storage battery is out of service;
(3) at 0～t
1In time period, the wind power prediction system utilize wind energy turbine set in the actual power of previous time period and power prediction value to 0～t
1Time period carries out power prediction and obtains wind power prediction value P
T1, and require β to calculate the level and smooth higher limit P of power according to smoothness
T1maxWith the level and smooth lower limit P of power
T1min
(4) the power output P of judgement wind energy turbine set
gWhether at P
T1maxWith P
T1minBetween, work as P
g>=P
T1maxThe time, storage battery is put into operation and is in charged state, further judge the actual state-of-charge SOC and the SOC of storage battery then
TmaxMagnitude relationship, when SOC reaches SOC
TmaxThe time, the capacity that expands storage battery 5 is till satisfying the smoothness requirement;
Work as P
g≤P
T1minThe time, storage battery is put into operation and is in discharge condition, further judge the state-of-charge SOC and the SOC of storage battery then
TminMagnitude relationship, when SOC drops to SOC
TminThe time, the capacity that expands storage battery 5 is till satisfying the smoothness requirement;
(5) arrive t
1Constantly, be recycled to step (1).
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| WO2013150405A1 (en) * | 2012-04-06 | 2013-10-10 | International Business Machines Corporation | Smoothing power output from a wind farm |
| CN106329553A (en) * | 2015-06-19 | 2017-01-11 | 株式会社日立制作所 | Wind power plant operation control device and method and wind power plant system |
| US10066604B2 (en) | 2014-05-13 | 2018-09-04 | General Electric Company | Method and system for hybrid wind power generation |
| CN109787260A (en) * | 2019-01-31 | 2019-05-21 | 中国电力科学研究院有限公司 | Energy storage system control method and system for smooth distributed photovoltaic power generation short-term fluctuation |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2013150405A1 (en) * | 2012-04-06 | 2013-10-10 | International Business Machines Corporation | Smoothing power output from a wind farm |
| US9196011B2 (en) | 2012-04-06 | 2015-11-24 | International Business Machines Corporation | Smoothing power output from a wind farm |
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| CN102664421A (en) * | 2012-05-11 | 2012-09-12 | 中国电力科学研究院 | Energy storage battery system power giving method for stabilizing wind power grid connection power fluctuation |
| CN102664421B (en) * | 2012-05-11 | 2014-09-24 | 中国电力科学研究院 | Energy storage battery system power giving method for stabilizing wind power grid connection power fluctuation |
| US10066604B2 (en) | 2014-05-13 | 2018-09-04 | General Electric Company | Method and system for hybrid wind power generation |
| CN106329553A (en) * | 2015-06-19 | 2017-01-11 | 株式会社日立制作所 | Wind power plant operation control device and method and wind power plant system |
| CN109787260A (en) * | 2019-01-31 | 2019-05-21 | 中国电力科学研究院有限公司 | Energy storage system control method and system for smooth distributed photovoltaic power generation short-term fluctuation |
| CN109787260B (en) * | 2019-01-31 | 2022-03-04 | 中国电力科学研究院有限公司 | Energy storage system control method and system for smooth distributed photovoltaic power generation short-term fluctuation |
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| CN102368617B (en) | 2014-02-19 |
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