CN102368617B - 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 PDF

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CN102368617B
CN102368617B CN201110308382.0A CN201110308382A CN102368617B CN 102368617 B CN102368617 B CN 102368617B CN 201110308382 A CN201110308382 A CN 201110308382A CN 102368617 B CN102368617 B CN 102368617B
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storage battery
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wind power
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data
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CN102368617A (en
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潘文霞
傅中兴
何海平
王鹏飞
全锐
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Hohai University HHU
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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
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    • Y02E10/76—Power conversion electric or electronic aspects
    • 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
    • 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
    • Y02E70/00—Other energy conversion or management systems reducing GHG emissions
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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

Accumulator control method based on the level and smooth power fluctuation of wind power prediction and system
Technical field
The present invention relates to a kind of control method and system that fluctuates and reduce battery capacity for solving wind energy turbine set power stage, belong to and improve wind energy turbine set quality of power supply field.
Background technology
Because wind-powered electricity generation is subject to the impact of nature meteorological condition larger, so the fluctuation of the power stage of wind power plant (being also wind energy turbine set) is very large, therefore may cause deviation and the stable problem of mains frequency, voltage, increase the difficulty that power system dispatching, deposit and quality of power supply index of correlation are controlled simultaneously.
In order to alleviate the impact of fluctuating and bringing to electric power system by wind power, energy-storage system expectation is widely used in wind energy turbine set, energy storage system capacity is the cost of conference increase wind generator system too, therefore according to system requirements, manage to reduce storage volume significant to the economy of wind power system, safe and stable operation.
In view of this, the inventor furthers investigate for 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 for the defect in aforementioned background art and deficiency, 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 adopting is:
A kind of control system for accumulators 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 gathers the active power of wind energy turbine set output and the state-of-charge of storage battery, and result is sent into respectively to wind power prediction system and data-analyzing machine; Wind power prediction system is predicted the current period according to the data that receive and real data and the predicted value of previous time period, and 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 to control module, exports control command according to comparative result; The output connecting breaker of control module, and circuit breaker is connected between storage battery and electrical network, control module is controlled the break-make of circuit breaker according to the instruction receiving.
An accumulator control method based on the level and smooth power fluctuation of wind power prediction, comprises the steps:
(1) gather the active-power P of wind energy turbine set output gstate-of-charge SOC with storage battery;
(2) detect the full state SOC of storage battery tmaxwith maximum depth of discharge state SOC tmin, and judge that whether SOC is in SOC tmaxand SOC tminbetween, if so, keeping the work at present state of storage battery constant, otherwise will disconnect being connected of storage battery and electrical network, control storage battery is out of service;
(3) at 0～t 1in time period, 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 t1maxtime, storage battery is put into operation and in charged state, then further judge actual state-of-charge SOC and the SOC of storage battery tmaxmagnitude relationship, when SOC reaches SOC tmaxtime, expand the capacity of storage battery 5 until meet smoothness requirement;
Work as P g≤ P t1mintime, storage battery is put into operation and in discharge condition, then further judge state-of-charge SOC and the SOC of storage battery tminmagnitude relationship, when SOC drops to SOC tmintime, expand the capacity of storage battery 5 until meet smoothness requirement;
(5) arrive t 1constantly, be recycled to step (1).
Adopt after such scheme, the system that first the present invention forms from wind energy turbine set and storage battery, the active power of this system output and the residual capacity of storage battery are analyzed, utilize predicted method to obtain the predicted power of each time period, according to the predicted power obtaining, the instruction that the operation conditions of storage battery is controlled is proposed again, to reach the power fluctuation of smooth wind power field, the object that reduces battery capacity and improve the quality of power supply; Secondly, adopt PWM control technology to control the three-phase bridge circuit being formed by full-control type device for power switching IGBT, thereby improved power factor.
Accompanying drawing explanation
Fig. 1 is the overall structure block diagram that the present invention is based on the control system for accumulators 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 control system for accumulators 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 control system for accumulators 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 control system for accumulators 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 in the control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, wind energy turbine set is sent;
Fig. 6 the present invention is based on wind energy turbine set in the control system for accumulators of wind power prediction smoothening power fluctuation of wind power station through active power that storage battery power is level and smooth to be obtained after controlling;
Fig. 7 the present invention is based in the control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, the 48 hours actual active power of sending of wind energy turbine set;
Fig. 8 the present invention is based in the control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, utilize wind power prediction method, the predicted time cycle is 4 hours, during smoothness β=20%, and 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 control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, utilizes wind power prediction method, and the predicted time cycle is 4 hours, during smoothness β=20%, and the change curve of the state-of-charge SOC of storage battery;
Figure 10 the present invention is based in the control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, utilize wind power prediction method, the predicted time cycle is 2 hours, during smoothness β=20%, and 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 control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, utilizes wind power prediction method, and the predicted time cycle is 2 hours, during smoothness β=20%, and the change curve of the state-of-charge SOC of storage battery;
Figure 12 the present invention is based in the control system for accumulators of wind power prediction smoothening power fluctuation of wind power station, the predicted time cycle obtaining by simulation calculation and the relation curve of battery capacity.
In figure: 1 is data acquisition unit; 2 is wind power prediction system; 3 is data-analyzing machine; 4 is control module; 5 is storage battery; 6 is DC/DC current transformer; 7 is AC/DC current transformer; 8 is 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.
Coordinate shown in Fig. 1, it is the structured flowchart that the present invention is based on the control system for accumulators 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 for gathering the active power of wind energy turbine set 9 output and the state-of-charge of storage battery 5, and result is sent into respectively to wind power prediction system 2 and data-analyzing machine 3; Wind power prediction system 2 is predicted the current period according to the data that receive and real data and the predicted value of previous time period, and 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 to control module 4, exports control commands according to comparative result; The output connecting breaker 10 of control module 4, and circuit breaker 10 is connected between storage battery 5 and electrical network 11, control module 4 is controlled the break-make of circuit breaker 10 according to the instruction receiving, thereby controls the electric power thus supplied of 5 pairs of electrical networks 11 of storage battery.
Below with reference to diagram, the content of the control method based on aforementioned control system is elaborated.The step of described control method is:
(1) utilize data acquisition unit 1 to gather the active-power P of wind energy turbine set 9 outputs gstate-of-charge SOC (state of charge) with storage battery 5 sends into wind power prediction system 2 and data-analyzing machine 3 simultaneously;
(2) detect the full state SOC of storage battery 5 tmaxwith maximum depth of discharge state SOC tmin, and judge that by control module 4 whether SOC is in SOC tmaxand SOC tminbetween, if so, 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, controls storage battery 5 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 is sent into data-analyzing machine 3, by data-analyzing machine 3, according to smoothness, require β to calculate the level and smooth higher limit P of power t1maxwith the level and smooth lower limit P of power t1min, specifically, establish P t1=0.5 (P t1max+ P t1min), P 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 1meet: wherein, n is a sampling number in predetermined period, E ifor certain any relative error, computing formula is:
Figure BDA0000097949330000042
when calculating according to two extreme conditions, i.e. P t1in one-period, keep minimum value P t1min, E now i=β/(2-β), is less than or equal to 19% by calculating β, when according to P t1maxduring calculating, β is less than or equal to 23%, so β maximum can not surpass 23%, calculates P t1maxand P t1minvalue;
(4) by the power output P of data-analyzing machine 3 judgement wind energy turbine set 9 gwhether at P t1maxwith P t1minbetween, as shown in Figure 2, work as P g>=P t1maxtime, the power that expression wind energy turbine set 6 is sent is too much, unnecessary power storage need to be got up, and now storage battery 5 is put into operation and in charged state, then further judges actual state-of-charge SOC and the SOC of storage battery 5 tmaxmagnitude relationship, when SOC reaches SOC tmaxtime, represent that storage battery 5 is in full state, now expand the capacity of storage battery 5 until meet smoothness requirement;
Work as P g≤ P t1mintime, represent the underpower that wind energy turbine set 9 is sent, need to fill up the power of this part, therefore storage battery 5 is put into operation and in discharge condition, then further judge state-of-charge SOC and the SOC of storage battery 5 tminmagnitude relationship, when SOC drops to SOC tmintime, represent that storage battery 5 is in maximum depth of discharge state, now expand the capacity of storage battery 5 until meet smoothness requirement;
(5) AC/DC current transformer 7 adopts Direct Current Control, and the three-phase voltage of AC, electric current are converted to dq two-phase, i.e. U by coordinate converter 8 dand U q, I dand I q.I wherein dfor active current, with active-power P ibe directly proportional and have P i=1.5U di d, I qfor reactive current, with reactive power Q ibe directly proportional and have Q i=-1.5U di q; U dfor d shaft voltage, U qfor 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 dreffor negative value; I qref=0 as I qreference value, so just can keep reactive power constant is 0, to I d, I qfollow the tracks of and 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 as shown in Figure 3, when battery charges, two-way DC/DC current transformer works in Buck circuit-mode; When battery discharge is released energy, two-way DC/DC converter should work in Boost circuit-mode, as shown in Figure 4, when two-way DC/DC converter is operated in Buck circuit-mode, S 1be operated in PWM pattern, S 2all the time turn-off; When two-way DC/DC converter is operated in Boost circuit-mode, S 1all the time turn-off S 2be operated in PWM pattern;
(8) when system runs to t 1constantly, be recycled to step (1).
Coordinate shown in Fig. 5, if with P g, P tfor active power and predicted power that wind energy turbine set in system is sent, the curve of the active power that in this system, wind energy turbine set obtains after the level and smooth control of storage battery power as shown in Figure 6.
In conjunction with 48 hours practical operation situation of certain wind energy turbine set, it is example.As shown in Figure 7, for the 48 hours actual active power of sending of wind energy turbine set, if utilize wind power prediction method, the predicted time cycle is 4 hours, during smoothness β=20%, as shown in Figure 8, now the change curve of the state-of-charge SOC of storage battery as shown in Figure 9 for the active power that wind energy turbine set obtains after the level and smooth control of storage battery power.If utilize wind power prediction method, the predicted time cycle is 2 hours, and during smoothness β=20%, as shown in figure 10, now the change curve of the state-of-charge SOC of storage battery as shown in figure 11 for the active power that wind energy turbine set obtains after the level and smooth control of storage battery power.The predicted time cycle obtaining by simulation calculation and the relation curve of battery capacity are as shown in figure 12.
Above embodiment only, for explanation technological thought of the present invention, can not limit protection scope of the present invention with this, every technological thought proposing according to the present invention, and any change of doing on technical scheme basis, within all falling into protection range of the present invention.

Claims (1)

1. the control method of the control system for accumulators based on the level and smooth power fluctuation of wind power prediction, the described control system for accumulators based on the level and smooth power fluctuation of wind power prediction comprises 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 gathers the active power of wind energy turbine set output and the state-of-charge of storage battery, and result is sent into respectively to wind power prediction system and data-analyzing machine; Wind power prediction system is predicted the current period according to the data that receive and real data and the predicted value of previous time period, and 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 to control module, exports control command according to comparative result; The output connecting breaker of control module, and circuit breaker is connected between storage battery and electrical network, control module is controlled the break-make of circuit breaker according to the instruction receiving; It is characterized in that control method comprises the steps:
(1) gather the active-power P of wind energy turbine set output gstate-of-charge SOC with storage battery;
(2) detect the full state SOC of storage battery tmaxwith maximum depth of discharge state SOC tmin, and judge that whether SOC is in SOC tmaxand SOC tminbetween, if so, keeping the work at present state of storage battery constant, otherwise will disconnect being connected of storage battery and electrical network, control storage battery is out of service;
(3) at 0～t 1in time period, 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, specifically, establish P t1=0.5(P t1max+ P t1min), P t1max=(1+0.5 β) P t1, P t1min=(1-0.5 β) P t1;
(4) active-power P of the output of judgement wind energy turbine set gwhether at P t1maxwith P t1minbetween, work as P g>=P t1maxtime, storage battery is put into operation and in charged state, then further judge actual state-of-charge SOC and the SOC of storage battery tmaxmagnitude relationship, when SOC reaches SOC tmaxtime, expand the capacity of storage battery until meet smoothness requirement;
Work as P g≤ P t1mintime, storage battery is put into operation and in discharge condition, then further judge state-of-charge SOC and the SOC of storage battery tminmagnitude relationship, when SOC drops to SOC tmintime, expand the capacity of storage battery until meet smoothness requirement;
(5) arrive t 1constantly, be recycled to step (1).
CN201110308382.0A 2011-10-12 2011-10-12 Storage battery control method smoothing power fluctuation based on wind power prediction and system thereof Expired - Fee Related CN102368617B (en)

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