CN104283231B - Implement the wind storage hybrid power plant of double cell group on-line operation strategy - Google Patents

Implement the wind storage hybrid power plant of double cell group on-line operation strategy Download PDF

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CN104283231B
CN104283231B CN201410582544.3A CN201410582544A CN104283231B CN 104283231 B CN104283231 B CN 104283231B CN 201410582544 A CN201410582544 A CN 201410582544A CN 104283231 B CN104283231 B CN 104283231B
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wind power
wind
fluctuation
power
battery
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CN104283231A (en
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张新松
李智
顾菊平
郭晓丽
华亮
朱建红
易龙芳
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Boshi Shanghai Energy Co ltd
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Nantong University
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/386—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/383—
    • H02J3/387—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • 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
    • 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
    • Y02E40/10—Flexible AC transmission systems [FACTS]
    • 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
    • Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin

Abstract

The invention discloses a kind of wind storage hybrid power plant implementing double cell group on-line operation strategy, the energy-storage system in wind-storage hybrid power plant is made up of two groups of battery pack with capacity, accessed the grid-connected public interface of wind energy turbine set by power inverter.On the basis based on historical data analysis wind power fluctuation rule, determine the capacity of battery energy storage system, wind power fluctuation can be stabilized by the confidence level of anticipation.In two Battery packs, one group is in charged state, for stabilizing the forward wave component of wind power; Another group is in discharge condition, for stabilizing the negative sense wave component in wind power.After completely filling when any Battery pack reaches, completely putting state, then immediately its function is switched.For can inspection wind-storage hybrid power plant stabilize wind power fluctuation by designing requirement, the invention also discloses the energy-storage system off-line simulation method based on wind power historical data.

Description

Implement the wind storage hybrid power plant of double cell group on-line operation strategy
The application is application number: the divisional application of 201310366132.1, the applying date: 2013-08-20, title " wind storage hybrid power plant and energy-storage system constant volume, off-line simulation and on-line operation method ".
Technical field
The present invention relates to the application of energy storage technology in renewable energy system, be specifically related to the constant volume of a kind of wind based on double cell group topology-storage hybrid power plant and energy-storage system, off-line simulation and on-line operation method.
Background technology
Along with petering out of fossil fuel and increasingly sharpening of environmental pollution, take wind-powered electricity generation as the most attention that the regenerative resource of representative receives countries in the world.China's installed capacity of wind-driven power is doubled for continuous 5 years, and by by the end of August, 2011, the wind energy turbine set 486 be incorporated into the power networks in the whole nation, installed capacity is up to 3,924 ten thousand kilowatts, and scale occupies first of the whole world.Concerning electrical network, wind-powered electricity generation is a kind of probabilistic energy injection, possesses inherent intermittence and fluctuation, and this characteristic affects electrical network dissolving to wind-powered electricity generation to a great extent.
While benefit improves power grid wind through-fall on ordinary days, obtain progress fast with the novel battery technology that flow battery, sodium-sulphur battery are representative, the rapid advances of battery technology is battery energy storage system is applied to wind-electricity integration to have established solid technical foundation.In recent years, academia generally believes: except carrying out power supply, Electric Power Network Planning construction targetedly, wind-storage the hybrid power plant utilizing power electronic technology battery energy storage system and wind energy turbine set to be integrated into electrical network friendly is also that one of effective measures improving power grid wind electricity digestion capability are (see document one " Electricalenergystorageforthegrid:abatteryofchoices ", Science, 2011,334th volume, the 6058th phase, the 928th page to 935 pages).
Document two " Controlstrategiesforbatteryenergystorageforwindfarmdispa tching " (IEEETransactionsonEnergyConversation, 2009, 24th volume the 3rd phase, 725th page to 732 pages) and document three " Optimalcontrolofbatteryenergystorageforwindfarmdispatchi ng " (IEEETransactionsonEnergyConversation, 2010, 25th volume the 3rd phase, 787th page to 794 pages) propose a kind of wind based on monocell group topological structure-storage hybrid power plant, battery energy storage device is utilized to fill flexibly, wave component in the level and smooth wind power of discharge capability, achieve good effect.But in this technical scheme, the randomness of wind power fluctuation can cause battery energy storage system frequently to switch between charge and discharge state, thus exhausts the cycle life of battery energy storage system fast.
For overcoming the technological deficiency of the wind-storage hybrid power plant based on monocell group structure, document four " Astatisticalapproachtothedesignofadispatchablewindpower-batteryenergystoragesystem " (IEEETransactionsonEnergyConversation, 2009,24th volume the 4th phase, the 916th page to 925 pages) propose a kind of wind based on double cell group topological structure-storage hybrid power plant.Energy-storage system in this wind-storage hybrid power plant is made up of two Battery packs, and wherein a Battery pack is in charged state, is charged to it by wind power; Another Battery pack is then in discharge condition, and by fault offset to electrical network, two Battery pack energy storage devices carry out state switching by the open and close operation of DC circuit breaker.In this wind-storage hybrid power plant, the energy of all injection electrical networks all needs, through overcharge, electric discharge two links, thus to there is larger energy loss.In addition, this wind-capacity requirement of storage hybrid power plant to battery energy storage system is larger.Thus, in today that battery energy storage system price is very expensive, this technical scheme has significant limitation.
Summary of the invention
The object of the present invention is to provide and a kind ofly make full use of the limited cycle life of battery energy storage system, energy loss is less, has wind storage hybrid power plant and energy-storage system constant volume, off-line simulation and the on-line operation method of good economic.
Technical solution of the present invention is:
A kind of wind storage hybrid power plant, is characterized in that: two groups of battery pack with capacity access the grid-connected public interface of wind energy turbine set respectively by power inverter; At any one time, two Battery packs are all in different charge and discharge states, and namely a Battery pack is in charged state, another group is in discharge condition, are respectively used to stabilize the wave component of the forward in wind power, negative sense; Any Battery pack is once arrival is completely filled or completely puts state, and its charge and discharge state switches immediately;
P d,tfor whole wind storage hybrid power plant is to the injecting power of electrical network, the charge and discharge power sum for wind power and double cell group:
P d,t＝P w,t+P b1,t+P b2,t
P w,tfor Power Output for Wind Power Field; P b1, t, P b2, tbe respectively the power output of two Battery packs; P b1, t/ P b2, tget on the occasion of representing that corresponding battery is in discharge condition; And P b1, t/ P b2, tget negative value and then represent that corresponding battery is in charged state.
A battery energy storage system constant volume method for wind storage hybrid power plant, is characterized in that: its step is as follows:
Step 1: by the wind power historical data P of moving average method from minute level w,tin isolate wave component P f,twith sustained component P c,t, specifically in accordance with the following methods:
P c , t = 1 30 [ P w , t - 15 + 1 + P w , t - 15 + 2 + . . . + P w , t + . . . P w , t + 15 ]
P f,t＝P w,t-P c,t
In above formula, wind power sustained component is essentially 30 minutes sliding averages of minute level wind power, and wind power fluctuation component is then the difference of wind power and wind power sustained component;
Step 2: calculate the Wave energy E that the every secondary undulation of wind power is corresponding f,i; Wind power fluctuation component P f,tfluctuation between adjacent two zero crossings is called 1 secondary undulation; If wind power fluctuation component P therebetween f,tnumerical value be greater than zero, then this secondary undulation be forward fluctuation; Otherwise, be referred to as negative sense fluctuation;
The Wave energy E of wind power i-th secondary undulation f,ifor:
E f , i = ∫ tia tib | P f , t | dt
In formula, t iawith t ibbe respectively the fluctuation initial time of wind power i-th secondary undulation and fluctuation finish-time;
Step 3: make wave component P f,tthe probability histogram of fluctuation amplitude; Make the corresponding Wave energy E of every secondary undulation equally f,iprobability histogram;
Step 4: adopt the probability density Fitting Toolbox dfittool in Matlab software kit to carry out probability density function matching, finds the probability density function being applicable to describing wind power fluctuation amplitude and energy statistics rule;
Step 5: obtain its corresponding cumulative distribution function F according to wind power fluctuation amplitude and the probability density function of energy 1(x) and F 2(x); Wherein, F 1x () is wind power fluctuation amplitude | P f,t| cumulative probability density function, F 2x () is wind power fluctuation ENERGY E f,icumulative probability density function; Determine the specified charge and discharge power P of battery energy storage system in wind-storage hybrid power plant by the following method mwith capacity E m;
F 1(P m)＝β
F 2[α％×E m]＝β
In above formula, β is the fiducial probability preset, and namely expects that battery energy storage system energy probability β stabilizes wind power fluctuation.
The energy-storage system off-line simulation method based on wind power historical data of wind storage hybrid power plant, is characterized in that: concrete steps are as follows:
Step 1: on the basis of the probabilistic statistical characteristics of wind power ultra-short term predicated error, the random predicated error producing following 15 minutes wind power ultra-short term prediction correspondences ϵ t f ( t f = 1,2,3 . . . 15 ) ;
Step 2: the wave component P calculating moment t wind power based on wind power historical data f,t;
P c , t = 1 30 [ P w , t - 15 + 1 + P w , t - 15 + 2 + . . . + P w , t + ( P w , t + 1 + ϵ 1 ) . . . + ( P w , t + 15 + ϵ 15 ) ]
P f,t＝P w,t-P c,t
Step 3: according to the wave component P of moment t wind power f,tcalculate the power output P of this moment energy-storage system b1, t/ P b2, t; If wind power fluctuation component P f,tbe greater than zero, then should dispatch the battery pack being in charged state, make its charge power P b1, t/ P b2, tequal if wind power fluctuation component P f,tbe less than zero, then scheduling is in the battery pack of discharge condition, makes its discharge power P b1, t/ P b2, tequal
Step 4: according to the charge and discharge power P of moment t energy-storage system b1, t/ P b2, tcalculate the state-of-charge that this moment terminates rear battery, and judge whether battery arrives accordingly and completely fill, completely put state; If battery arrives fully charged state, then it is switched to discharge condition by charged state; If battery arrives and completely puts state, namely arrive maximum depth of discharge, then it is switched to charged state by discharge condition;
Step 5: repeated execution of steps 1 to step 4, completes the Dynamic simulation to energy-storage system in whole interval;
Step 6: with 10 6number of times repeated execution of steps 1 to step 5, can statistical simulation result, judges that can battery energy storage system reach designing requirement, namely stabilize wind power fluctuation by fiducial probability β.
An on-line operation strategy for the double cell group of wind storage hybrid power plant, is characterized in that:
Step 1: predict the wind power that 15 minutes futures are per minute
Step 2: predict the outcome according to wind power ultra-short term and calculate the estimated value of moment t wind power fluctuation component
P c , t f = 1 30 [ P w , t - 14 + P w , t - 13 + . . . + P w , t + P w , t + 1 f . . . P w , t + 15 f ]
P f , t f = P w , t - P c , t f
In above formula, P w, t-14, P w, t-13, P w, t-12... P w, t-1for the actual value of first 14 minutes wind power, P w,tfor the wind performance number of current time;
Step 3: if moment t wind power fluctuation component estimated value be greater than zero, then illustrate that just aweather power fluctuation has appearred in this moment, for stabilizing this fluctuation, the battery pack being in charged state need be dispatched, its charge power is equaled if wind power fluctuation component estimated value be less than zero, then illustrate that the wind power fluctuation of negative sense appears in this moment, for stabilizing this fluctuation, the battery pack being in discharge condition need be dispatched, its discharge power is equaled
Step 4: judge whether battery energy storage system arrives according to the output signal of state-of-charge monitoring system and completely fill or completely put state, if battery energy storage system arrives fully charged state, then it is switched to discharge condition by charged state, if battery energy storage system arrives and completely puts state, namely arrive maximum depth of discharge, then it is switched to charged state by discharge condition.
Beneficial effect of the present invention: compared with prior art, the advantage that the present invention gives prominence to comprises: first, the forward fluctuation adopting two Battery pack energy-storage systems to stabilize wind power is respectively fluctuated with negative sense, avoid the frequent switching of battery energy storage system between charge and discharge state, thus take full advantage of the limited cycle life of battery energy storage system; Secondly, the sustained component in wind power directly injects electrical network, and only wave component injects electrical network after charging, electric discharge link, and thus energy loss is less, and less to the capacity requirement of battery energy storage system, has good economy.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described.
Fig. 1 is wind of the present invention storage hybrid power plant structural representation.
Fig. 2 is battery energy storage system constant volume method flow diagram.
Fig. 3 is the energy-storage system off-line simulation method flow chart based on wind power historical data.
Fig. 4 is the on-line operation strategic process figure of double cell group.
Fig. 5 is wind power fluctuation component schematic diagram.
Embodiment
In wind-storage hybrid power plant, two groups of battery energy storage systems with capacity access the grid-connected public interface of wind energy turbine set respectively by power inverter.Any instant, this two Battery packs energy-storage system is all in different charge and discharge states, and (namely a Battery pack energy-storage system is in charged state, another Battery pack energy-storage system is then in discharge condition), what be respectively used to stabilize in wind power is positive and negative to fluctuation.Any Battery pack energy-storage system is once (completely putting) state is completely filled in arrival, and its charge and discharge state will switch immediately.
Under prior art conditions, battery energy storage system is equipment costly, therefore, rationally need determine that the capacity of battery energy storage system (comprises specified charge and discharge power P mwith rated capacity E m).On the basis of wind power historical data, the invention provides a kind of constant volume method of battery energy storage system, guarantee to stabilize wind power fluctuation with fiducial probability β.As shown in Figure 2, its concrete steps are as follows for this energy-storage system constant volume method:
Step 1: by the wind power historical data P of moving average method from minute level w,tin isolate wave component P f,twith sustained component P c,t, specifically in accordance with the following methods:
P c , t = 1 30 [ P w , t - 15 + 1 + P w , t - 15 + 2 + . . . + P w , t + . . . P w , t + 15 ]
P f,t＝P w,t-P c,t
In above formula, wind power sustained component is essentially 30 minutes sliding averages of minute level wind power, and wind power fluctuation component is then the difference of wind power and wind power sustained component.
Step 2: calculate the Wave energy E that the every secondary undulation of wind power is corresponding f,i.Wind power fluctuation component P f,tfluctuation between adjacent two zero crossings is called 1 secondary undulation.If wind power fluctuation component P therebetween f,tnumerical value be greater than zero, then this secondary undulation be forward fluctuation; Otherwise, be referred to as negative sense fluctuation.The Wave energy E of wind power i-th secondary undulation f,ifor:
E f , i = ∫ tia tib | P f , t | dt
In formula, t iawith t ibbe respectively the fluctuation initial time of wind power i-th secondary undulation and fluctuation finish-time.As in Fig. 5, t 1, t 2between fluctuation be the fluctuation of 1 forward, and t 2, t 3between fluctuation be then the fluctuation of 1 negative sense, hatched area then represents the ENERGY E that every secondary undulation is corresponding f,i.
Step 3, make wave component P f,tthe probability histogram of fluctuation amplitude; Make the corresponding Wave energy E of every secondary undulation equally f,iprobability histogram.
Probability density Fitting Toolbox dfittool in step 4, employing Matlab software kit carries out probability density function matching, finds the probability density function being applicable to describing wind power fluctuation amplitude and energy statistics rule.
Step 5, obtain its corresponding cumulative distribution function F according to wind power fluctuation amplitude and the probability density function of energy 1(x) and F 2(x).Wherein, F 1x () is wind power fluctuation amplitude | P f,t| cumulative probability density function, F 2x () is wind power fluctuation ENERGY E f,icumulative probability density function.Determine the specified charge and discharge power P of battery energy storage system in wind-storage hybrid power plant by the following method mwith capacity E m.
F 1(P m)＝β
F 2[α％×E m]＝β
In above formula, β is the fiducial probability preset, and namely expects that battery energy storage system energy probability β stabilizes wind power fluctuation.It is noted that for extending battery, the energy stored in battery should all not discharge, and should leave a part, and that is its maximum depth of discharge is not 100%, but a%.
During battery energy storage system Capacity Selection, wish that it can stabilize the fluctuation of wind power with fiducial probability β, but due to the existence of the asynchronous and wind power ultra-short term predicated error that two Battery pack energy-storage system charge and discharge states switch, can this design object realize, and has to be tested.For this reason, based on wind power historical data, the invention provides a kind of off-line simulation method of battery energy storage system, whether reach designing requirement to check wind-storage hybrid power plant.As shown in Figure 3, its concrete steps are as follows for the method:
Step 1, on the basis of the probabilistic statistical characteristics of wind power ultra-short term predicated error, random produce predicated error corresponding to wind power ultra-short term prediction in following 15 minutes ϵ t f ( t f = 1,2,3 . . . 15 ) .
Step 2, calculate the wave component P of moment t wind power based on wind power historical data f,t.
P c , t = 1 30 [ P w , t - 15 + 1 + P w , t - 15 + 2 + . . . + P w , t + ( P w , t + 1 + ϵ 1 ) . . . + ( P w , t + 15 + ϵ 15 ) ]
P f,t＝P w,t-P c,t
Step 3, wave component P according to moment t wind power f,tcalculate the power output P of this moment energy-storage system b1, t/ P b2, t.If wind power fluctuation component P f,tbe greater than zero, then should dispatch the battery pack being in charged state, make its charge power P b1, t/ P b2, tequal if wind power fluctuation component P f,tbe less than zero, then scheduling is in the battery pack of discharge condition, makes its discharge power P b1, t/ P b2, tequal
Step 4, charge and discharge power P according to moment t energy-storage system b1, t/ P b2, tcalculate the state-of-charge that this moment terminates rear battery, and judge whether battery arrives accordingly and completely fill, completely put state.If battery arrives fully charged state, then it is switched to discharge condition by charged state; If battery arrives and completely puts state (namely arriving maximum depth of discharge), then it is switched to charged state by discharge condition.
Step 5, repeated execution of steps 1 to step 4, complete the Dynamic simulation to energy-storage system in whole interval.
Step 6, with more number of times repeated execution of steps 1 to step 5 (10 6secondary).Can statistical simulation result, judges that can battery energy storage system reach designing requirement, namely stabilize wind power fluctuation by fiducial probability β.
During on-line scheduling battery energy storage system, it should being made to fill, put power and just can balance wind power fluctuation, in addition, for making full use of the cycle life of battery limited, battery also should be avoided to experience incomplete charge and discharge cycle as far as possible.The scheduling strategy of moment t energy-storage system as shown in Figure 4, specifically describes as follows:
The wind power that step 1, following 15 minutes of prediction are per minute
Step 2, predicting the outcome according to wind power ultra-short term calculates the estimated value of moment t wind power fluctuation component
P c , t f = 1 30 [ P w , t - 14 + P w , t - 13 + . . . + P w , t + P w , t + 1 f . . . P w , t + 15 f ]
P f , t f = P w , t - P c , t f
In above formula, P w, t-14, P w, t-13, P w, t-12... P w, t-1for the actual value of first 14 minutes wind power, P w,tfor the wind performance number of current time.
If step 3 moment t wind power fluctuation component estimated value be greater than zero, then illustrate that just aweather power fluctuation has appearred in this moment, for stabilizing this fluctuation, the battery pack being in charged state need be dispatched, its charge power is equaled if wind power fluctuation component estimated value be less than zero, then illustrate that the wind power fluctuation of negative sense appears in this moment, for stabilizing this fluctuation, the battery pack being in discharge condition need be dispatched, its discharge power is equaled
Step 4, judge whether battery energy storage system arrives according to the output signal of state-of-charge monitoring system and completely fill or completely put state, if battery energy storage system arrives fully charged state, then it is switched to discharge condition by charged state, if battery energy storage system arrives and completely puts state (namely arriving maximum depth of discharge), then it is switched to charged state by discharge condition.

Claims (3)

1. implement a wind storage hybrid power plant for double cell group on-line operation strategy, it is characterized in that: two groups of battery pack with capacity access the grid-connected public interface of wind energy turbine set respectively by power inverter; At any one time, two Battery packs are all in different charge and discharge states, and namely a Battery pack is in charged state, another group is in discharge condition, are respectively used to stabilize the wave component of the forward in wind power, negative sense; Any Battery pack is once arrival is completely filled or completely puts state, and its charge and discharge state switches immediately;
P d,tfor whole wind storage hybrid power plant is to the injecting power of electrical network, the charge and discharge power sum for wind power and double cell group:
P d,t＝P w,t+P b1,t+P b2,t
P w,tfor Power Output for Wind Power Field; P b1, t, P b2, tbe respectively the power output of two Battery packs; P b1, t/ P b2, tget on the occasion of representing that corresponding battery is in discharge condition; And P b1, t/ P b2, tget negative value and then represent that corresponding battery is in charged state;
Its battery energy storage system constant volume method:
Step 1: by the wind power historical data P of moving average method from minute level w,tin isolate wave component P f,twith sustained component P c,t, specifically in accordance with the following methods:
P c , t = 1 30 P w , t - 15 + 1 + P w , t - 15 + 2 + L + P w , t + L P w , t + 15
P f,t＝P w,t-P c,t
In above formula, wind power sustained component is essentially 30 minutes sliding averages of minute level wind power, and wind power fluctuation component is then the difference of wind power and wind power sustained component;
Step 2: calculate the Wave energy E that the every secondary undulation of wind power is corresponding f,i; Wind power fluctuation component P f,tfluctuation between adjacent two zero crossings is called 1 secondary undulation; If wind power fluctuation component P therebetween f,tnumerical value be greater than zero, then this secondary undulation be forward fluctuation; Otherwise, be referred to as negative sense fluctuation; The Wave energy E of wind power i-th secondary undulation f,ifor:
E f , i = ∫ t i a t i b | P f , t | d t
In formula, t iawith t ibbe respectively the fluctuation initial time of wind power i-th secondary undulation and fluctuation finish-time;
Step 3: make wave component P f,tthe probability histogram of fluctuation amplitude; Make the corresponding Wave energy E of every secondary undulation equally f,iprobability histogram;
Step 4: adopt the probability density Fitting Toolbox dfittool in Matlab software kit to carry out probability density function matching, finds the probability density function being applicable to describing wind power fluctuation amplitude and energy statistics rule;
Step 5: obtain its corresponding cumulative distribution function F according to wind power fluctuation amplitude and the probability density function of energy 1(x) and F 2(x); Wherein, F 1x () is wind power fluctuation amplitude | P f,t| cumulative probability density function, F 2x () is wind power fluctuation ENERGY E f,icumulative probability density function; Determine the specified charge and discharge power P of battery energy storage system in wind-storage hybrid power plant by the following method mwith capacity E m;
F 1(P m)＝β
F 2[α％×E m]＝β
In above formula, β is the fiducial probability preset, and namely expects that battery energy storage system can stabilize wind power fluctuation by fiducial probability β;
Implement double cell group on-line operation strategy, described double cell group on-line operation strategy concrete steps are as follows:
Step 1: predict the wind power that 15 minutes futures are per minute
Step 2: predict the outcome according to wind power ultra-short term and calculate the estimated value of moment t wind power fluctuation component
P c , t f = 1 30 P w , t - 14 + P w , t - 13 + L + P w , t + P w , t + 1 f L P w , t + 15 f
P f , t f = P w , t - P c , t f
In above formula, P w, t-14, P w, t-13, P w, t-12... P w, t-1for the actual value of first 14 minutes wind power, P w,tfor the wind performance number of current time;
Step 3: if moment t wind power fluctuation component estimated value be greater than zero, then illustrate that just aweather power fluctuation has appearred in this moment, for stabilizing this fluctuation, the battery pack being in charged state need be dispatched, its charge power is equaled if wind power fluctuation component estimated value be less than zero, then illustrate that the wind power fluctuation of negative sense appears in this moment, for stabilizing this fluctuation, the battery pack being in discharge condition need be dispatched, its discharge power is equaled
Step 4: judge whether battery energy storage system arrives according to the output signal of state-of-charge monitoring system and completely fill or completely put state, if battery energy storage system arrives fully charged state, then it is switched to discharge condition by charged state, if battery energy storage system arrives and completely puts state, namely arrive maximum depth of discharge, then it is switched to charged state by discharge condition.
2. the wind storage hybrid power plant of enforcement double cell group on-line operation strategy according to claim 1, is characterized in that: any Battery pack is once arrive fully charged state, and its charge and discharge state switches immediately.
3. the wind storage hybrid power plant of enforcement double cell group on-line operation strategy according to claim 1, is characterized in that: any Battery pack is once arrival completely puts state, and its charge and discharge state switches immediately.
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