CN104979850B - A kind of energy storage participates in the standby electric power system dispatching method containing wind-powered electricity generation - Google Patents
A kind of energy storage participates in the standby electric power system dispatching method containing wind-powered electricity generation Download PDFInfo
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Abstract
The standby electric power system dispatching method containing wind-powered electricity generation is participated in the invention discloses a kind of energy storage, this method comprises the following steps：The power of fired power generating unit power, creep speed and active load is monitored in real time；Wind-powered electricity generation historical forecast error is counted, wind-powered electricity generation scene is generated；According to the constraints of system, scheduling model is set up, the model is solved；Count scheduling result.Energy-storage system effect is considered in standby configuration, energy-storage system can tackle wind-powered electricity generation uncertainty by changing charge/discharge power and provide standby, it is secondary, once adjust in play a part of eliminate wind-powered electricity generation, negative rules, consider frequency mediating effect+6 simultaneously, it can finally mitigate the pressure of conventional power unit standby configuration, improve power network and dissolve the ability of wind-powered electricity generation.
Description
Technical field
The standby electric power system dispatching method containing wind-powered electricity generation is participated in the present invention relates to a kind of energy storage.
Background technology
Ecological environment goes from bad to worse, and threatens human survival, and it is imperative that clean energyization is changed, and power system must be to
Green, low-carbon, environmental protection and the intelligent direction development of energy-conservation.In this context, the renewable energy power generation such as scene has obtained fast
Exhibition is hailed, makes that during Operation of Electric Systems the test of strong uncertain receiving ability must be faced.
The Chinese patent of Patent No. 201110001574.7：" the bulk power grid real-time scheduling method for wind power integration of dissolving ",
Give a kind of bulk power grid real-time scheduling method for wind power integration of dissolving, the patent is by by the whole network computer-assisted classification, then from being
System obtain the plan a few days ago of unit, exert oneself in real time, the relevant information such as tie line plan and numerical weather forecast, carry out ultra-short term negative
Lotus predict and wind power output prediction, try to achieve subsequent time Real-Time Scheduling unit exert oneself regulated quantity and build abandon wind loss reduction
Active Real-Time Scheduling model, the Real-Time Scheduling adjustmentcapacity of unit including Wind turbines is tried to achieve using simplex method.
The Chinese patent of Patent No. 201210371334.0：" the power system based on wind power output indefinite set
Dispatching method ", discloses a kind of electric power system dispatching method based on wind power output indefinite set, solves containing extensive
In the power system Robust Scheduling problem of wind-powered electricity generation, the problem of wind power output uncertainties model, it is ensured that power network Unit Commitment and tune
The security reliability of plan is spent, the utilization rate of wind power plant wind power output is effectively improved.
The Chinese patent of Patent No. 201210176522.8：" a kind of electric automobile cooperates with Real-Time Scheduling to optimize with wind-powered electricity generation
Method ", the Optimized model for being target to the maximum with active total electricity is set up according to the electric network model of actual electric network；By total active power output
The punishment amount that curve changes relation is added in optimization aim, obtains the Optimal Operation Model for considering generating curve smoothing；By mould
Non-linear factor linearisation in type, is solved using dual simplex method, draws the Active Generation of wind-solar-storage joint electricity generation system
Curve, reports to higher level control centre, and obtains the discharge and recharge plan of energy storage device, issues subsystem execution.
Dispatching method described in above patent is the locking energy-storage system charge/discharge power in scheduling, completely by routine
Unit undertakes the standby of coping with uncertainty.Under the situation that conventional power unit leading position gradually weakens, this Research Thinking will
It is hard to work.
The content of the invention
The present invention is in order to solve the above problems, it is proposed that a kind of energy storage participates in the standby electric power system dispatching side containing wind-powered electricity generation
Method, this method considers energy-storage system effect in standby configuration, and energy-storage system can be reply by changing charge/discharge power
Wind-powered electricity generation uncertainty provide it is standby, it is secondary, once adjust in play a part of eliminate wind-powered electricity generation, negative rules, examine simultaneously
Frequency mediating effect+6 is considered, can finally mitigate the pressure of conventional power unit standby configuration, improved power network and dissolve the ability of wind-powered electricity generation.
To achieve these goals, the present invention is adopted the following technical scheme that：
A kind of energy storage participates in the standby electric power system dispatching method containing wind-powered electricity generation, comprises the following steps：
(1) power of fired power generating unit power, creep speed and active load is monitored in real time；
(2) the wind power plant historical forecast error for accessing power network is counted, generates wind-powered electricity generation scene；
(3) constraints according to system, sets up electric power system dispatching model, solves the model；
In the step (1), the data monitored in real time include：Unit peak power output, minimum output power, unit are climbed
Slope speed and the maximum charge/discharge power of active load.
In the step (2), using autoregressive moving average (ARMA) model come to Power Output for Wind Power Field predicated error
Estimated, expression formula is,
In formula, p, q are respectively the exponent number in arma modeling；αi、βjFor model parameter, obtained by estimation；ε is equal to obey
It is worth for 0, variance is σ2Gaussian Profile white noise；For predicated error.
By being counted to wind-powered electricity generation historical forecast error, the value of parameter in formula (1) is obtained using least square method.
Due to ε Normal Distributions, stochastic simulation produces ε, can generate the wind-powered electricity generation scene of needs.
In the step (3), electric power system dispatching model is：
Fuel is not consumed in view of wind-powered electricity generation, the cost and operating cost of energy-storage system is disregarded, object function is expressed as
Following form：
In formula, PW,tFor t period Power Output for Wind Power Field predicted values；PL,tFor t period predicted loads；PESS,tFor the t periods
Energy-storage system active power, PESS,t>0 represents energy-storage system charging, PESS,t<0 represents energy storage system discharges.
, it is necessary to consider constraints in the step (3), constraints includes：
Power-balance constraint：
In formula, PW,tFor t period Power Output for Wind Power Field predicted values；PL,tFor t period predicted loads；PESS,tFor the t periods
Energy-storage system active power, PESS,t>0 represents energy-storage system charging, PESS,t<0 represents energy storage system discharges.
In the step (3), constraints includes：
Unit power output bound is constrained：
In formula,WithRespectively lower and upper limit of unit i power outputs.
In the step (3), constraints includes：
Unit ramping rate constraints：
-rGi·Δt≤PGi,t+1-PGi,t≤rGi·Δt (5)
In formula, rGiFor unit i power output maximum adjustments, Δ t is Period Length.
In the step (3), constraints includes：Energy-storage system inverter charge-discharge electric power is constrained：
In formula,The charge-discharge electric power maximum allowed for inverter.
In the step (3), constraints includes：The energy-storage system storage energy constraint of day part end,
Et=Et-1+PESS,tΔt
In the step (3), constraints includes：Energy-storage system storage energy is constrained,
Emin≤Et≤Emax (7)
In formula, EminAnd EmaxRespectively energy-storage system stores the minimum value and maximum of energy.
In the step (3), constraints includes, the constraint based on each scene：IfFor wind-powered electricity generation in scene s when
Section t power output,For t period load values in scene s, work as PESS,tWhen ＞ 0, i.e. energy-storage system charge, energy-storage system can lead to
Cross the scene that increase charge power reply wind power output power is less than predicted value higher than planned value or load, energy-storage system lockable
Fluctuation range limited by the charge power and maximum storage energy that inverter allows, be specifically represented by
Work as PESS,tWhen ＞ 0, i.e. energy-storage system charge, energy-storage system can be defeated by reducing charge power or electric discharge reply wind-powered electricity generation
Go out the scene that power is higher than predicted value less than planned value or load, discharge power that lockable scope is allowed by inverter and most
The limitation of small storage energy, is specifically represented by
For scene s, the regulation spare capacity up and down for needing fired power generating unit to provideIt can distinguish
It is expressed as,
Fired power generating unit i adjusts spare capacity in the t periods and is expressed as up and downIn view of being
System frequency departure beWhen load frequency mediating effect+6, when wind-powered electricity generation and load actual power deviate desired value, if allowing frequency
Rate changes within the specific limits, should meet,
In formula, D is that unit frequency changes the coefficient that caused load active power is increased or decreased；Fired power generating unit upwards and
Regulation spare capacity should be met downwards,
In formula, RGiThe coefficient that the caused unit i power outputs of cell frequency change are increased or decreased；
Meanwhile, fired power generating unit power output should meet bound constraint, i.e.,
System frequency deviation should be met,
In formula, Δ fmin、ΔfmaxThe minimum and maximum frequency departure that respectively system allows.
In the step (3), take secondary or linear list to reach according to cost function in object function, secondary rule can be utilized respectively
Draw or linear programming algorithm is solved.
Beneficial effects of the present invention are：
(1) present invention considers energy-storage system effect in standby configuration, and energy-storage system can be by changing discharge charge electric work
Rate for reply wind-powered electricity generation uncertainty provides standby, it is secondary, once adjust in play elimination wind-powered electricity generation, negative rules work
With；
(2) present invention considers frequency mediating effect+6, can finally mitigate the pressure of conventional power unit standby configuration, improves electricity
Net is dissolved the ability of wind-powered electricity generation.
Brief description of the drawings
Fig. 1 is load, wind power curve map.
Embodiment：
The invention will be further described with embodiment below in conjunction with the accompanying drawings.
A kind of energy-storage system participates in the standby electric power system dispatching method containing wind-powered electricity generation, comprises the following steps：
1) fired power generating unit, active load relevant parameter and information are obtained.Fired power generating unit maximal regulated speed is machine per minute
Pool-size 1%, fired power generating unit difference coefficient is 4%, i.e. system frequency change 4% causes the change of unit power output 100%.
Energy-storage system parameter is shown in Table 1.
The energy-storage system parameter of table 1
2) according to the statistics of wind-powered electricity generation historical forecast error, wind-powered electricity generation scene is generated.Phase of the wind-powered electricity generation with load within the prediction period
Prestige value is as shown in Figure 1.
3) scheduling model is set up, and model is solved；
Scheduling model is：
Fuel is not consumed in view of wind-powered electricity generation, the cost and operating cost of energy-storage system is disregarded, object function is expressed as
Following form：
In formula, PW,tFor t period Power Output for Wind Power Field predicted values；PL,tFor t period predicted loads；PESS,tFor the t periods
Energy-storage system active power, PESS,t>0 represents energy-storage system charging, PESS,t<0 represents energy storage system discharges.
Constraints includes：
1) power-balance constraint
In formula, PW,tFor t period Power Output for Wind Power Field predicted values；PL,tFor t period predicted loads；PESS,tFor the t periods
Energy-storage system active power, PESS,t>0 represents energy-storage system charging, PESS,t<0 represents energy storage system discharges.
2) unit power output bound is constrained
In formula,WithRespectively lower and upper limit of unit i power outputs.
3) unit ramping rate constraints
-rGi·Δt≤PGi,t+1-PGi,t≤rGi·Δt (4)
In formula, rGiFor unit i power output maximum adjustments, Δ t is Period Length.
4) energy-storage system inverter charge-discharge electric power is constrained
In formula,The charge-discharge electric power maximum allowed for inverter.
5) the last energy-storage system storage energy constraint of day part
Et=Et-1+PESS,tΔt (6)
6) energy-storage system storage energy is constrained
Emin≤Et≤Emax (7)
In formula, EminAnd EmaxRespectively energy-storage system stores the minimum value and maximum of energy.
7) constraint based on each scene
Pass through the scenario simulation wind-powered electricity generation and the uncertainty of load being likely to occur.Assuming thatIt is wind-powered electricity generation in scene s in the period
T power output,For t period load values in scene s.In actual motion, if Power Output for Wind Power Field deviates planned value or negative
Lotus deviate predicted value, energy-storage system can it is secondary and once adjustment in change power output, wind-powered electricity generation and load are tried one's best and are locked as
Planned value.
Work as PESS,tWhen ＞ 0, i.e. energy-storage system charge, energy-storage system can tackle wind power output power by increasing charge power
Higher than the scene that planned value or load are less than predicted value, the charging work(that the lockable fluctuation range of energy-storage system is allowed by inverter
The limitation of rate and maximum storage energy, is specifically represented by
Work as PESS,tWhen ＞ 0, i.e. energy-storage system charge, energy-storage system can be defeated by reducing charge power or electric discharge reply wind-powered electricity generation
Go out the scene that power is higher than predicted value less than planned value or load, discharge power that lockable scope is allowed by inverter and most
The limitation of small storage energy, is specifically represented by
For scene s, the regulation spare capacity up and down for needing fired power generating unit to provideIt can distinguish
It is expressed as,
Fired power generating unit i adjusts spare capacity in the t periods and is expressed as up and downConsider
System frequency deviation isWhen load frequency mediating effect+6, when wind-powered electricity generation and load actual power deviate desired value, if allowing
Frequency changes within the specific limits, should meet,
In formula, D is that unit frequency changes the coefficient that caused load active power is increased or decreased.
Fired power generating unit adjusts spare capacity and should met up and down,
In formula, RGiThe coefficient that the caused unit i power outputs of cell frequency change are increased or decreased.
Fired power generating unit power output should meet bound constraint, i.e.,
System frequency deviation should be met,
In formula, Δ fmin、ΔfmaxThe minimum and maximum frequency departure that respectively system allows.
Formula (1)-(14) constitute basic scheduling model, and secondary or linear list is taken according to cost function in object function
Reach, quadratic programming can be utilized respectively or linear programming algorithm is solved.
4) scheduling result is counted.
Assuming that wind-powered electricity generation predicated error is stepped up with fixed step size 10%, the electro-mechanical wave enhancing of correspondence scene apoplexy, following table
Give the Comparative result situation of context of methods and conventional scheduling method
Two methods contrast situation during the uncertainty enhancing of the wind-powered electricity generation of table 2
As shown in Table 2, as wind-powered electricity generation uncertainty strengthens, the corresponding cost of two methods can all increase.Wind-powered electricity generation prediction is missed
Difference increase identical amount, the incrementss of context of methods cost are less than conventional method.Also, when corresponding predicated error reaches
40%, conventional method participates in standby due to considering energy storage, can tackle the larger range of fluctuation of wind-powered electricity generation without solution, context of methods,
Power network is added to dissolve the ability of renewable energy power generation.
Although above-mentioned the embodiment of the present invention is described with reference to accompanying drawing, not to present invention protection model
The limitation enclosed, one of ordinary skill in the art should be understood that on the basis of technical scheme those skilled in the art are not
Need to pay various modifications or deform still within protection scope of the present invention that creative work can make.
Claims (8)
1. a kind of energy storage participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Comprise the following steps：
(1) power of fired power generating unit power, creep speed and active load is monitored in real time；
(2) the wind power plant historical forecast error for accessing power network is counted, generates wind-powered electricity generation scene；
(3) constraints according to system, sets up electric power system dispatching model, solves the model；
In the step (2), Power Output for Wind Power Field predicated error is carried out using autoregressive moving average (ARMA) model
Estimation, expression formula is,
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In formula, p, q are respectively the exponent number in arma modeling；αi、βjFor model parameter, obtained by estimation；ε is to obey average to be
0, variance is σ2Gaussian Profile white noise；For predicated error；
By being counted to wind-powered electricity generation historical forecast error, the value of parameter in formula (1) is obtained using least square method；Due to
ε Normal Distributions, stochastic simulation produces ε, can generate the wind-powered electricity generation scene of needs；
In the step (3), constraints includes, the constraint based on each scene：IfIt is wind-powered electricity generation in scene s period t's
Power output,For t period load values in scene s, work as PESS,tWhen ＞ 0, i.e. energy-storage system charge, energy-storage system can be by increasing
Plus charge power reply wind power output power is less than the scene of predicted value, the lockable ripple of energy-storage system higher than planned value or load
Dynamic scope is limited by the charge power and maximum storage energy that inverter allows, and is specifically represented by
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In formula, EminAnd EmaxRespectively energy-storage system stores the minimum value and maximum of energy；Et-1For t-1 period storage systems
Storage energy；The charge-discharge electric power maximum allowed for inverter, PESS,tFor t period energy-storage system active power；
Work as PESS,tWhen ＞ 0, i.e. energy-storage system charge, energy-storage system can be by reducing charge power or electric discharge reply wind-powered electricity generation output work
Rate is less than planned value or load is higher than the scene of predicted value, and the discharge power and minimum that lockable scope is allowed by inverter are deposited
The limitation of energy storage capacity, is specifically represented by
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In formula, EminAnd EmaxRespectively energy-storage system stores the minimum value and maximum of energy；Et-1For t-1 period storage systems
Storage energy；The charge-discharge electric power maximum allowed for inverter, PESS,tFor t period energy-storage system active power；
For scene s, the regulation spare capacity up and down for needing fired power generating unit to provideIt can represent respectively
For,
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Fired power generating unit i adjusts spare capacity in the t periods and is expressed as up and downPW,tFor t period wind
Electric field power output predicted value；PL,tFor t period predicted loads；rGiFor unit i power output maximum adjustments；When Δ t is
Segment length；It is Δ f in view of system frequency deviationt sWhen load frequency mediating effect+6, deviate in wind-powered electricity generation and load actual power
During desired value, if allowing frequency to change within the specific limits, it should meet,
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<mtable>
<mtr>
<mtd>
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<mo>&Sigma;</mo>
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<mn>1</mn>
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<mi>t</mi>
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<msubsup>
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<mi>t</mi>
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<mi>d</mi>
<mi>n</mi>
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<mi>s</mi>
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<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, D is that unit frequency changes the coefficient that caused load active power is increased or decreased；Ng is the sum of generator
Amount；Fired power generating unit adjusts spare capacity and should met up and down,
<mrow>
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<mtable>
<mtr>
<mtd>
<mrow>
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<mi>&Delta;P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
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<mrow>
<mi>u</mi>
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<mo>,</mo>
<mi>s</mi>
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<mo>&le;</mo>
<msub>
<mi>r</mi>
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<mi>G</mi>
<mi>i</mi>
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</msub>
<mo>&CenterDot;</mo>
<mi>&Delta;</mi>
<mi>t</mi>
<mo>+</mo>
<msub>
<mi>R</mi>
<mrow>
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<mi>&Delta;f</mi>
<mi>t</mi>
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</msubsup>
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<mi>&Delta;P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
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<mi>&Delta;</mi>
<mi>t</mi>
<mo>+</mo>
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<mi>R</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
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<mi>&Delta;f</mi>
<mi>t</mi>
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</msubsup>
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</mtd>
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</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, RGiThe coefficient that the caused unit i power outputs of cell frequency change are increased or decreased；
Meanwhile, fired power generating unit power output should meet bound constraint, i.e.,
<mrow>
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<mtable>
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<mi>P</mi>
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<mo>&le;</mo>
<msubsup>
<mi>P</mi>
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<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>max</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
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</msub>
<mo>-</mo>
<msubsup>
<mi>&Delta;P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mrow>
<mi>d</mi>
<mi>n</mi>
<mo>,</mo>
<mi>s</mi>
</mrow>
</msubsup>
<mo>&GreaterEqual;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>min</mi>
</msubsup>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein,WithThe respectively lower and upper limit of unit i power outputs, PGi,tIt is fired power generating unit i in t output work
Rate；
System frequency deviation should be met,
Δfmin≤Δft s≤Δfmax (8)
In formula, Δ fmin、ΔfmaxThe minimum and maximum frequency departure that respectively system allows.
2. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (1), the data monitored in real time include：Unit peak power output, minimum output power, unit creep speed and master
Dynamic load maximum charge/discharge power.
3. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (3), electric power system dispatching model is：
Fuel is not consumed in view of wind-powered electricity generation, the cost and operating cost of energy-storage system is disregarded, object function is expressed as
Form：
<mrow>
<mi>m</mi>
<mi>i</mi>
<mi>n</mi>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>t</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>T</mi>
</munderover>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>N</mi>
<mi>g</mi>
</mrow>
</munderover>
<msub>
<mi>C</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<msub>
<mi>P</mi>
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<mi>G</mi>
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</mrow>
<mo>+</mo>
<msubsup>
<mi>C</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mrow>
<mi>r</mi>
<mi>e</mi>
<mi>s</mi>
</mrow>
</msubsup>
<mrow>
<mo>(</mo>
<msubsup>
<mi>&Delta;P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
<mrow>
<mi>u</mi>
<mi>p</mi>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>&Delta;P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
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<mi>n</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, PW,tFor t period Power Output for Wind Power Field predicted values；PL,tFor t period predicted loads；PESS,tFor t period energy storage
System active power, PESS,t>0 represents energy-storage system charging, PESS,t<0 represents energy storage system discharges；PGi,tIt is fired power generating unit i in t
Moment power output,Fired power generating unit i adjusts spare capacity up and down in the t periods；CGiFor fired power generating unit i
Generated energy cost,For fired power generating unit i spare capacity cost；Ng is the total quantity of generator.
4. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (3), it is necessary to consider constraints, constraints includes：
Power-balance constraint：
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mrow>
<mi>N</mi>
<mi>g</mi>
</mrow>
</munderover>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>+</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>W</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>L</mi>
<mo>,</mo>
<mi>t</mi>
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<msub>
<mi>P</mi>
<mrow>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
<mo>,</mo>
<mi>t</mi>
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<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>10</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula, PW,tFor t period Power Output for Wind Power Field predicted values；PL,tFor t period predicted loads；PESS,tFor t period energy storage
System active power, PESS,t>0 represents energy-storage system charging, PESS,t<0 represents energy storage system discharges；PGi,tIt is fired power generating unit i in t
Moment power output；Ng is the total quantity of generator；
Unit power output bound is constrained：
<mrow>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>min</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>G</mi>
<mi>i</mi>
</mrow>
<mi>max</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>11</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula,WithThe respectively lower and upper limit of unit i power outputs, PGi,tIt is fired power generating unit i in t output work
Rate.
5. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (3), constraints includes：
Unit ramping rate constraints：
-rGi·Δt≤PGi,t+1-PGi,t≤rGi·Δt (12)
In formula, rGiFor fired power generating unit i power output maximum adjustments, Δ t is Period Length；PGi,tIt is fired power generating unit i in t
Carve power output, PGi,t+1It is fired power generating unit i in t+1 moment power outputs.
6. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (3), constraints includes：Energy-storage system inverter charge-discharge electric power is constrained：
<mrow>
<mo>-</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
</mrow>
<mi>max</mi>
</msubsup>
<mo>&le;</mo>
<msub>
<mi>P</mi>
<mrow>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
<mo>,</mo>
<mi>t</mi>
</mrow>
</msub>
<mo>&le;</mo>
<msubsup>
<mi>P</mi>
<mrow>
<mi>E</mi>
<mi>S</mi>
<mi>S</mi>
</mrow>
<mi>max</mi>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>13</mn>
<mo>)</mo>
</mrow>
</mrow>
In formula,The charge-discharge electric power maximum allowed for inverter.
7. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (3), constraints includes：The energy-storage system storage energy constraint of day part end,
Et=Et-1+PESS,tΔt
In formula, PESS,tFor t period energy-storage system active power, Δ t is Period Length；
In the step (3), constraints includes：Energy-storage system storage energy is constrained,
Emin≤Et≤Emax (14)
In formula, EminAnd EmaxRespectively energy-storage system stores the minimum value and maximum of energy.
8. a kind of energy storage as claimed in claim 1 participates in the standby electric power system dispatching method containing wind-powered electricity generation, it is characterized in that：Institute
State in step (3), take secondary or linear list to reach according to cost function in object function, be utilized respectively quadratic programming or linear programming
Algorithm for Solving.
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| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Zhang Jie Inventor after: Mou Hong Inventor after: Wang Yuan Inventor after: Cao Xiangyang Inventor after: Wang Nan Inventor after: Shi Hongji Inventor after: Yu Baijian Inventor after: Yang Si Inventor after: Zhao Linghan Inventor after: Zhang Youquan Inventor after: Liu Guojing Inventor after: Sun Donglei Inventor after: Wang Mingqiang Inventor after: Han Xueshan Inventor after: Liu Xiaoming Inventor after: Wang Yan Inventor after: Wang Fei Inventor before: Zhang Jie Inventor before: Wang Nan Inventor before: Niu Xinsheng Inventor before: Liu Guojing Inventor before: Wang Mingqiang Inventor before: Han Xueshan Inventor before: Wang Yan Inventor before: Wang Fei Inventor before: Liu Xiaoming Inventor before: Cao Xiangyang |
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| GR01 | Patent grant | ||
| GR01 | Patent grant |