CN103401262A - Wind power and battery energy storage hybrid power station as well as capacity-determining off-line simulation and on-line operation method for energy storage system - Google Patents

Abstract

The invention discloses a wind power and battery energy storage hybrid power station, as well as a capacity-determining off-line simulation and on-line operation method for an energy storage system. The energy storage system in the wind power and battery energy storage hybrid power station comprises two battery packs with the same capacity and accesses a grid connection public connection point through a power converter. On the basis of historical data analysis on a wind power fluctuation law, the capacity of the battery energy storage system is determined, so that wind power fluctuation can be stabilized according to preconceived confidence. In the two battery packs, one battery pack is in a charging state and used for stabilizing a positive fluctuation component of the wind power; and the other battery pack is in a discharging state and used for stabilizing a negative fluctuation component of the wind power. When any one battery pack reaches a charged or discharged state, functions of the battery pack are switched immediately. In order to check whether the wind power and battery energy storage hybrid power station can stabilize the power fluctuation according to the design requirement, the invention further discloses the off-line simulation method of the energy storage system on the basis of historical data of the wind power.

Description

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 constant volume, off-line simulation and the on-line operation method of a kind of wind based on double cell group topology-storage hybrid power plant and energy-storage system.

Background technology

Along with petering out of fossil fuel and increasingly sharpening of environmental pollution, the regenerative resource take wind-powered electricity generation as representative has been subject to the generally attention of countries in the world.China's installed capacity of wind-driven power was doubled in continuous 5 years, by in by the end of August, 2011,486 of the wind energy turbine set that is 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.

In the benefit raising on ordinary days of electrical network wind-powered electricity generation through-fall, novel battery technology take flow battery, sodium-sulphur battery as representative has obtained progressive fast, and the quick progress of battery technology has been established solid technical foundation for battery energy storage system is applied to wind-electricity integration.In recent years, academia generally believes: except carrying out power supply, Electric Power Network Planning construction targetedly, utilize power electronic technology with battery energy storage system and wind energy turbine set be integrated into the friendly type of electrical network wind-storage hybrid power plant is also that raising electrical network wind-powered electricity generation is dissolved one of effective measures of ability (referring to document one " Electrical energy storage for the grid:a battery of choices ", Science, 2011, the 334th volume, the 6058th phase, the 928th page to 935 pages).

document two " Control strategies for battery energy storage for wind farm dispatching " (IEEE Transactions on Energy Conversation, 2009, the 24th the 3rd phase of volume, the 725th page to 732 pages) and document three " Optimal control of battery energy storage for wind farm dispatching " (IEEE Transactions on Energy Conversation, 2010, the 25th the 3rd phase of volume, the 787th page to 794 pages) a kind of wind based on monocell group topological structure-storage hybrid power plant proposed, utilize the battery energy storage device to fill flexibly, wave component in the level and smooth wind power of discharge capability, obtained good effect.But in this technical scheme, the randomness of wind power fluctuation can cause battery energy storage system frequently switching between the charge and discharge state, thereby exhausts fast the cycle life of battery energy storage system.

For overcoming the technological deficiency of wind based on monocell group structure-storage hybrid power plant, document four " A statistical approach to the design of a dispatchable wind power-battery energy storage system " (IEEE Transactions on Energy Conversation, 2009, the 24th the 4th phase of volume, the 916th page to 925 pages) a kind of wind based on double cell group topological structure-storage hybrid power plant proposed.Energy-storage system in this wind-storage hybrid power plant is comprised of two Battery packs, and wherein a Battery pack is in charged state, by wind power, it is charged; Another Battery pack is in discharge condition, and energy is discharged to electrical network, and two Battery pack energy storage devices carry out the state switching by the open and close operation of dc circuit breaker.In this wind-storage hybrid power plant, all energy that inject electrical network all need through overcharging, discharge two links, thereby exist larger energy loss.In addition, this wind-storage hybrid power plant is larger to the capacity requirement of battery energy storage system.Thereby in battery energy storage system price very expensive today, this technical scheme has significant limitation.

Summary of the invention

The object of the present invention is to provide a kind of limited cycle life of battery energy storage system that takes full advantage of, 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 better economy.

Technical solution of the present invention is:

A kind of wind storage hybrid power plant, it is characterized in that: two groups of battery pack with capacity access the public interface of being incorporated into the power networks of wind energy turbine set by power inverter respectively; At any one time, two Battery packs all are 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 forward in wind power, the wave component of negative sense; Any Battery pack is in case arrival is completely filled or completely puts state, and its charge and discharge state switches immediately; P _d,t, for the injecting power of whole wind storage hybrid power plant to electrical network, be the charge and discharge power sum of 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, t}Be respectively the power output of two Battery packs; P _{B1, t}/ P _{B2, t}Get on the occasion of battery corresponding to expression and be in discharge condition; And P _{B1, t}/ P _{B2, t}Get negative value and represent that corresponding battery is in charged state.

A kind of battery energy storage system constant volume method of wind storage hybrid power plant, it is characterized in that: its step is as follows:

Step 1: press the wind power historical data P of moving average method from minute level _w,tIn isolate wave component P _f,tWith lasting component P _c,t, specifically in accordance with the following methods:

$P_{c,t}=\frac{1}{30}[P_{w,t-15+1}+P_{w,t-15+2}+\·\·\·+P_{w,t}+\·\·\·P_{w,t+15}]$

P _f,t=P _w,t-P _c,t

In following formula, wind power continues component and is essentially 30 minutes sliding averages of minute level wind power, and wind power fluctuation component is that wind power and wind power continue the poor of component;

Step 2: calculate Wave energy E corresponding to the every secondary undulation of wind power _f,iWind 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 greater than zero, this secondary undulation is the forward fluctuation; Otherwise, be referred to as the negative sense fluctuation;

The Wave energy E of wind power i secondary undulation _f,iFor:

$E_{f,i}={\∫}_{\mathrm{tia}}^{\mathrm{tib}}\left|P_{f,t}\right|\mathrm{dt}$

In formula, t _iaWith t _ibBe respectively the fluctuation zero-time of wind power i secondary undulation and fluctuate finish-time;

Step 3: make wave component P _f,tThe probability histogram of fluctuation amplitude; Make equally the corresponding Wave energy E of every secondary undulation _f,iProbability histogram;

Step 4: adopt the probability density match tool box dfittool in the Matlab software kit to carry out the probability density function match, find the probability density function that is fit to describe wind power fluctuation amplitude and energy statistics rule;

Step 5: according to wind power fluctuation amplitude and the probability density function of energy, obtain its corresponding cumulative distribution function F ₁(x) and F ₂(x); Wherein, F ₁(x) be wind power fluctuation amplitude | P _f,t| cumulative probability density function, F ₂(x) be wind power fluctuation energy E _f,iCumulative probability density function; Determine by the following method the specified charge and discharge power P of battery energy storage system in wind-storage hybrid power plant _mWith capacity E _m

F ₁(P _m)=β

F ₂[α%×E _m]=β

In following formula, β is predefined fiducial probability, expects that namely battery energy storage system energy probability β stabilizes the wind power fluctuation.

A kind of method of energy-storage system off-line simulation based on wind power historical data of wind storage hybrid power plant, it 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, produce following 15 minutes predicated error corresponding to wind power ultra-short term prediction at random

${\mathrm{\ϵ}}_{t_f}(t_f=\mathrm{1,2,3}\·\·\·15);$

Step 2: based on wind power historical data, calculate the wave component P of t wind power constantly _f,t

$P_{c,t}=\frac{1}{30}[P_{w,t-15+1}+P_{w,t-15+2}+\·\·\·+P_{w,t}+(P_{w,t+1}+{\mathrm{\ϵ}}_1)\·\·\·+(P_{w,t+15}+{\mathrm{\ϵ}}_{15})]$

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,tGreater than zero, should dispatch the battery pack that is in charged state, make its charge power P _{B1, t}/ P _{B2, t}Equal

If wind power fluctuation component P _f,tLess than zero, scheduling is in the battery pack of discharge condition, makes its discharge power P _{B1, t}/ P _{B2, t}Equal

Step 4: according to the charge and discharge power P of moment t energy-storage system _{B1, t}/ P _{B2, t}Calculate the state-of-charge that this finishes rear battery constantly, and judge accordingly whether battery arrives completely and fill, completely put state; , if battery arrives fully charged state, it is switched to discharge condition by charged state; If battery arrives and completely puts state, namely arrive maximum depth of discharge, it is switched to charged state by discharge condition;

Step 5: repeated execution of steps 1, to step 4, is completed the operation emulation to energy-storage system in whole interval;

Step 6: with 10 ⁶Number of times repeated execution of steps 1 is to step 5, and can the statistical simulation result, judge that can battery energy storage system reach designing requirement, namely stabilize the wind power fluctuation by fiducial probability β.

A kind of on-line operation strategy of double cell group of wind storage hybrid power plant is characterized in that:

Step 1: 15 minutes wind power per minute of predict future

Step 2: according to wind power ultra-short term, predict the outcome and calculate the estimated value of t wind power fluctuation component constantly

$P_{c,t}^f=\frac{1}{30}[P_{w,t-14}+P_{w,t-13}+\·\·\·P_{w,t}+P_{w,t+1}^f\·\·\·P_{w,t+15}^f]$

$P_{f,t}^f=P_{w,t}-P_{c,t}^f$

In following formula, P _{W, t-14}, P _{W, t-13}, P _{W, t-12}, P _{W, t-1}For the actual value of front 14 minutes wind power, P _w,tWind performance number for current time;

Step 3: if moment t wind power fluctuation component estimated value

Greater than zero, illustrate that this has occurred just aweather power fluctuation constantly,, for stabilizing this fluctuation, need scheduling to be in the battery pack of charged state, its charge power is equaled If wind power fluctuation component estimated value Less than zero, the wind power fluctuation that this occurs negative sense constantly is described,, for stabilizing this fluctuation, need scheduling to be in the battery pack of discharge condition, its discharge power is equaled

Step 4: judge according to the output signal of state-of-charge monitoring system whether battery energy storage system arrives and completely fill or completely put state, if battery energy storage system arrives fully charged state, it is switched to discharge condition by charged state, if battery energy storage system arrives the state of completely putting, namely arrive maximum depth of discharge, 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: at first, adopt two Battery pack energy-storage systems to stabilize respectively the forward fluctuation and negative sense fluctuation of wind power, avoid the frequent switching of battery energy storage system between the charge and discharge state, thereby taken full advantage of the limited cycle life of battery energy storage system; Secondly, the lasting component in wind power directly injects electrical network, and only wave component injects electrical network after charging, discharge link, thereby energy loss is less, and less to the capacity requirement of battery energy storage system, has economy preferably.

Description of drawings

The invention will be further described below in conjunction with drawings and Examples.

Fig. 1 is wind storage hybrid power plant structural representation of the present invention.

Fig. 2 is battery energy storage system constant volume method flow diagram.

Fig. 3 is based on the energy-storage system off-line simulation method flow diagram of 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 public interface of being incorporated into the power networks of wind energy turbine set by power inverter respectively.In arbitrary moment, this two Battery packs energy-storage system all is in different charge and discharge state (namely a Battery pack energy-storage system is in charged state, and another Battery pack energy-storage system is in discharge condition), is respectively used to stabilize positive and negative to fluctuation in wind power.Any Battery pack energy-storage system is in case (completely putting) state is completely filled in arrival, and its charge and discharge state will switch immediately.

Under the prior art condition, battery energy storage system is more expensive equipment, and therefore, the capacity that needs rationally to determine 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 the 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: press the wind power historical data P of moving average method from minute level _w,tIn isolate wave component P _f,tWith lasting component P _c,t, specifically in accordance with the following methods:

$P_{c,t}=\frac{1}{30}[P_{w,t-15+1}+P_{w,t-15+2}+\·\·\·+P_{w,t}+\·\·\·P_{w,t+15}]$

P _f,t=P _w,t-P _c,t

In following formula, wind power continues component and is essentially 30 minutes sliding averages of minute level wind power, and wind power fluctuation component is that wind power and wind power continue the poor of component.

Step 2: calculate Wave energy E corresponding to the every secondary undulation of wind power _f,iWind 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 greater than zero, this secondary undulation is the forward fluctuation; Otherwise, be referred to as the negative sense fluctuation.The Wave energy E of wind power i secondary undulation _f,iFor:

$E_{f,i}={\∫}_{\mathrm{tia}}^{\mathrm{tib}}\left|P_{f,t}\right|\mathrm{dt}$

In formula, t _iaWith t _ibBe respectively the fluctuation zero-time of wind power i secondary undulation and fluctuate finish-time.In Fig. 5, t ₁, t ₂Between fluctuation be the fluctuation of 1 forward, and t ₂, t ₃Between fluctuation be the fluctuation of 1 negative sense, the dash area area 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 equally the corresponding Wave energy E of every secondary undulation _f,iProbability histogram.

Probability density match tool box dfittool in step 4, employing Matlab software kit carries out the probability density function match, finds the probability density function that is fit to describe wind power fluctuation amplitude and energy statistics rule.

Step 5, according to wind power fluctuation amplitude and the probability density function of energy, obtain its corresponding cumulative distribution function F ₁(x) and F ₂(x).Wherein, F ₁(x) be wind power fluctuation amplitude | P _f,t| cumulative probability density function, F ₂(x) be wind power fluctuation energy E _f,iCumulative probability density function.Determine by the following method the specified charge and discharge power P of battery energy storage system in wind-storage hybrid power plant _mWith capacity E _m

F ₁(P _m)=β

F ₂[α%×E _m]=β

In following formula, β is predefined fiducial probability, expects that namely battery energy storage system energy probability β stabilizes the wind power fluctuation.Should be noted, for extending battery, the energy of storing in battery should all not discharge, and should leave a part, that is to say that its maximum depth of discharge is not 100%, but a%.

During the battery energy storage system Capacity Selection, wish that it can stabilize with fiducial probability β the fluctuation of wind power, but due to the existence of the asynchronous and wind power ultra-short term predicated error of two Battery pack energy-storage system charge and discharge states switchings, can this design object realize having 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, with check wind-storage hybrid power plant, whether reach designing requirement.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, produce following 15 minutes predicated error corresponding to wind power ultra-short term prediction at random

${\mathrm{\ϵ}}_{t_f}(t_f=\mathrm{1,2,3}\·\·\·15).$

Step 2, based on wind power historical data, calculate the wave component P of t wind power constantly _f,t

$P_{c,t}=\frac{1}{30}[P_{w,t-15+1}+P_{w,t-15+2}+\·\·\·+P_{w,t}+(P_{w,t+1}+{\mathrm{\ϵ}}_1)\·\·\·+(P_{w,t+15}+{\mathrm{\ϵ}}_{15})]$

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,tGreater than zero, should dispatch the battery pack that is in charged state, make its charge power P _{B1, t}/ P _{B2, t}Equal

If wind power fluctuation component P _f,tLess than zero, scheduling is in the battery pack of discharge condition, makes its discharge power P _{B1, t}/ P _{B2, t}Equal

Step 4, according to the charge and discharge power P of moment t energy-storage system _{B1, t}/ P _{B2, t}Calculate the state-of-charge that this finishes rear battery constantly, and judge accordingly whether battery arrives completely and fill, completely put state., if battery arrives fully charged state, it is switched to discharge condition by charged state; , if battery arrives and completely puts state (namely arriving maximum depth of discharge), it is switched to charged state by discharge condition.

Step 5, repeated execution of steps 1, to step 4, are completed the operation emulation to energy-storage system in whole interval.

Step 6, with more number of times repeated execution of steps 1 to step 5(10 ⁶Inferior).The statistical simulation result, can the judgement battery energy storage system reach designing requirement, namely stabilize the wind power fluctuation by fiducial probability β.

During the on-line scheduling battery energy storage system, should make it fill, put power energy balance wind power fluctuation just, in addition,, for taking full advantage of the cycle life of battery limited, also should avoid the incomplete charge and discharge cycle of battery experience as far as possible.The scheduling strategy of t energy-storage system as shown in Figure 4, specifically describes as follows constantly:

Step 1,15 minutes wind power per minute of predict future

Step 2, according to wind power ultra-short term, predict the outcome and calculate the estimated value of t wind power fluctuation component constantly

$P_{c,t}^f=\frac{1}{30}[P_{w,t-14}+P_{w,t-13}+\·\·\·P_{w,t}+P_{w,t+1}^f\·\·\·P_{w,t+15}^f]$

$P_{f,t}^f=P_{w,t}-P_{c,t}^f$

In following formula, P _{W, t-14}, P _{W, t-13}, P _{W, t-12}, P _{W, t-1}For the actual value of front 14 minutes wind power, P _w,tWind performance number for current time.

If step 3 is t wind power fluctuation component estimated value constantly

Greater than zero, illustrate that this has occurred just aweather power fluctuation constantly,, for stabilizing this fluctuation, need scheduling to be in the battery pack of charged state, its charge power is equaled

If wind power fluctuation component estimated value

Less than zero, the wind power fluctuation that this occurs negative sense constantly is described,, for stabilizing this fluctuation, need scheduling to be in the battery pack of discharge condition, its discharge power is equaled

Step 4, judge according to the output signal of state-of-charge monitoring system whether battery energy storage system arrives and completely fill or completely put state, if battery energy storage system arrives fully charged state, 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), it is switched to charged state by discharge condition.

Claims (4)

1. a wind stores up hybrid power plant, and it is characterized in that: two groups of battery pack with capacity access the public interface of being incorporated into the power networks of wind energy turbine set by power inverter respectively; At any one time, two Battery packs all are 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 forward in wind power, the wave component of negative sense; Any Battery pack is in case arrival is completely filled or completely puts state, and its charge and discharge state switches immediately; P _d,t, for the injecting power of whole wind storage hybrid power plant to electrical network, be the charge and discharge power sum of 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, t}Be respectively the power output of two Battery packs; P _{B1, t}/ P _{B2, t}Get on the occasion of battery corresponding to expression and be in discharge condition; And P _{B1, t}/ P _{B2, t}Get negative value and represent that corresponding battery is in charged state.

2. the battery energy storage system constant volume method of wind storage hybrid power plant, it is characterized in that: its step is as follows:

Step 1: press the wind power historical data P of moving average method from minute level _w,tIn isolate wave component P _f,tWith lasting component P _c,t, specifically in accordance with the following methods:

$P_{c,t}=\frac{1}{30}[P_{w,t-15+1}+P_{w,t-15+2}+\·\·\·+P_{w,t}+\·\·\·P_{w,t+15}]$

P _f,t=P _w,t-P _c,t

In following formula, wind power continues component and is essentially 30 minutes sliding averages of minute level wind power, and wind power fluctuation component is that wind power and wind power continue the poor of component;

Step 2: calculate Wave energy E corresponding to the every secondary undulation of wind power _f,iWind 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 greater than zero, this secondary undulation is the forward fluctuation; Otherwise, be referred to as the negative sense fluctuation;

The Wave energy E of wind power i secondary undulation _f,iFor:

$E_{f,i}={\∫}_{\mathrm{tia}}^{\mathrm{tib}}\left|P_{f,t}\right|\mathrm{dt}$

In formula, t _iaWith t _ibBe respectively the fluctuation zero-time of wind power i secondary undulation and fluctuate finish-time;

Step 3: make wave component P _f,tThe probability histogram of fluctuation amplitude; Make equally the corresponding Wave energy E of every secondary undulation _f,iProbability histogram;

Step 4: adopt the probability density match tool box dfittool in the Matlab software kit to carry out the probability density function match, find the probability density function that is fit to describe wind power fluctuation amplitude and energy statistics rule;

Step 5: according to wind power fluctuation amplitude and the probability density function of energy, obtain its corresponding cumulative distribution function F ₁(x) and F ₂(x); Wherein, F ₁(x) be wind power fluctuation amplitude | P _f,t| cumulative probability density function, F ₂(x) be wind power fluctuation energy E _f,iCumulative probability density function; Determine by the following method the specified charge and discharge power P of battery energy storage system in wind-storage hybrid power plant _mWith capacity E _m

F ₁(P _m)=β

F ₂[α%×E _m]=β

In following formula, β is predefined fiducial probability, expects that namely battery energy storage system energy probability β stabilizes the wind power fluctuation.

3. the method for the energy-storage system off-line simulation based on wind power historical data of wind storage hybrid power plant, it 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, produce following 15 minutes predicated error corresponding to wind power ultra-short term prediction at random

${\mathrm{\ϵ}}_{t_f}(t_f=\mathrm{1,2,3}\·\·\·15);$

Step 2: based on wind power historical data, calculate the wave component P of t wind power constantly _f,t

$P_{c,t}=\frac{1}{30}[P_{w,t-15+1}+P_{w,t-15+2}+\·\·\·+P_{w,t}+(P_{w,t+1}+{\mathrm{\ϵ}}_1)\·\·\·+(P_{w,t+15}+{\mathrm{\ϵ}}_{15})]$

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,tGreater than zero, should dispatch the battery pack that is in charged state, make its charge power P _{B1, t}/ P _{B2, t}Equal

If wind power fluctuation component P _f,tLess than zero, scheduling is in the battery pack of discharge condition, makes its discharge power P _{B1, t}/ P _{B2, t}Equal

Step 4: according to the charge and discharge power P of moment t energy-storage system _{B1, t}/ P _{B2, t}Calculate the state-of-charge that this finishes rear battery constantly, and judge accordingly whether battery arrives completely and fill, completely put state; , if battery arrives fully charged state, it is switched to discharge condition by charged state; If battery arrives and completely puts state, namely arrive maximum depth of discharge, it is switched to charged state by discharge condition;

Step 5: repeated execution of steps 1, to step 4, is completed the operation emulation to energy-storage system in whole interval;

Step 6: with 10 ⁶Number of times repeated execution of steps 1 is to step 5, and can the statistical simulation result, judge that can battery energy storage system reach designing requirement, namely stabilize the wind power fluctuation by fiducial probability β.

4. a wind stores up the on-line operation strategy of the double cell group of hybrid power plant, it is characterized in that:

Step 1: 15 minutes wind power per minute of predict future

Step 2: according to wind power ultra-short term, predict the outcome and calculate the estimated value of t wind power fluctuation component constantly

$P_{c,t}^f=\frac{1}{30}[P_{w,t-14}+P_{w,t-13}+\·\·\·P_{w,t}+P_{w,t+1}^f\·\·\·P_{w,t+15}^f]$

$P_{f,t}^f=P_{w,t}-P_{c,t}^f$

In following formula, P _{W, t-14}, P _{W, t-13}, P _{W, t-12}, P _{W, t-1}For the actual value of front 14 minutes wind power, P _w,tWind performance number for current time;

Step 3: if moment t wind power fluctuation component estimated value

Greater than zero, illustrate that this has occurred just aweather power fluctuation constantly,, for stabilizing this fluctuation, need scheduling to be in the battery pack of charged state, its charge power is equaled

If wind power fluctuation component estimated value

Less than zero, the wind power fluctuation that this occurs negative sense constantly is described,, for stabilizing this fluctuation, need scheduling to be in the battery pack of discharge condition, its discharge power is equaled

Step 4: judge according to the output signal of state-of-charge monitoring system whether battery energy storage system arrives and completely fill or completely put state, if battery energy storage system arrives fully charged state, it is switched to discharge condition by charged state, if battery energy storage system arrives the state of completely putting, namely arrive maximum depth of discharge, it is switched to charged state by discharge condition.

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