CN110110917A - A kind of wind under wind power climbing event stores up combined optimization operation method - Google Patents
A kind of wind under wind power climbing event stores up combined optimization operation method Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
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- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention relates to the wind under a kind of wind power climbing event to store up combined optimization operation method, to realize the control to wind power climbing event.Comprising two stages, climb event recognition stage and wind storage combined optimization operation phase.In the climbing event recognition stage, the climbing rate of wind-powered electricity generation in each period is calculated by the prediction power of wind-powered electricity generation, the climbing threshold value that can bear according to system recognizes the climbing event of the wind power under the period；The combined optimization operation phase is stored up in wind, the operating status of abandonment and energy storage is comprehensively considered, scheduling is optimized to electric system, to eliminate the generation of system wind power climbing event, and while controlling wind power climbing event, reduces the abandonment amount of wind-powered electricity generation.The present invention is able to suppress the generation of system wind power climbing event, improves the security and stability and performance driving economy of electric system, and can also stabilize the power swing of wind-electricity integration.
Description
Technical field
Wind storage the present invention relates to power system security stability contorting field, under especially a kind of wind power climbing event
Combined optimization operation method.
Background technique
With the rapid development of wind-powered electricity generation, influence of a high proportion of wind power integration to electric system is also very important, wherein wind
Electrical power climbing event is exactly to influence a key factor of safe and stable operation of power system.Wind power climbing event refers to
Due to the randomness and strong fluctuation of wind-powered electricity generation, wind power fluctuating widely in a short time.Wind power climbing event
The safe and stable operation of electric system, the electric system especially based on fired power generating unit, since unit is climbed can be seriously affected
The limitation of rate, the regulating power of system are more not enough to cope with wind power climbing event.In order to guarantee high permeability wind-powered electricity generation simultaneously
The safe and stable operation of net system, it is necessary to control effectively to wind power climbing event.
The existing research for wind power climbing event is concentrated mainly on the identification of wind power climbing event, wind power plant
In terms of the power control of itself, the regulating power of system itself is not fully considered for the research of wind storage combined operating yet.
Summary of the invention
In view of this, the purpose of the present invention is to propose to the wind under a kind of wind power climbing event to store up combined optimization operation side
Method can be realized effective control to wind power climbing event.
The present invention is realized using following scheme: the wind under a kind of wind power climbing event stores up combined optimization operation method,
The following steps are included:
Step S1: the climbing rate of wind-powered electricity generation in each period is calculated using the prediction power of wind-powered electricity generation；
Step S2: according to the operating status of electric system, the climbing threshold value in electric system each period or more is calculated
Limit；
Step S3: electric power obtained in the climbing rate of wind-powered electricity generation and step S2 in each period according to obtained in step S1
The climbing threshold value bound of system recognizes the wind power climbing event in each period；
Step S4: the wind-powered electricity generation climbing thing obtained according to the wind power climbing event recognized in step S3 in each period
Part identification result optimizes scheduling to electric system, to eliminate the wind power climbing event of electric system generation.
Further, the particular content of the step S1 are as follows:
The formula of wind-powered electricity generation climbing rate is calculated by wind-powered electricity generation function prediction rate specifically:
λt=| Pwind,t+1-Pwind,t|/Δt
In formula, λtFor the climbing rate of t moment wind-powered electricity generation；Pwind,t+1And Pwind,tRespectively t+1 moment and t moment wind-powered electricity generation is pre-
Power scale, Δ t are the time interval of each period.
Further, the particular content of the step S2 are as follows:
The climbing threshold value of the electric system refers to the maximum climbing rate that electric system can bear, the electric system
The calculating for threshold value bound of climbing specifically:
In formula,WithThe respectively upper limit and lower limit of t moment electric system climbing threshold value；Respectively
Swash ratio of slope and the lower climbing rate of i-th generator, N are generator number total in electric system；NtFor in t moment electric system
Do not have regulating power or have reached the generator collection of accommodation limit, Δ t is the time interval of each period.
Further, the particular content of the step S3 are as follows:
The discrimination method of wind power climbing event are as follows:
If the climbing rate of wind-powered electricity generation meets above-mentioned relation in a certain period, which will not occur wind power climbing thing
Part；Conversely, having the generation of wind-powered electricity generation climbing event in the period.
Further, the particular content of the step S4 are as follows:
To optimize Operation of Electric Systems cost minimization as target, with abandonment, energy storage charging and discharging state and network security item
Part is constraint:
Wherein objective function, that is, power system optimal dispatch model are as follows:
In formula, agi, awind, aenergyThe cost of electricity-generating of respectively i-th generator, wind-powered electricity generation abandonment cost and energy storage fortune
Row cost；Pgi,tFor the generated energy of i-th generator t moment；αtFor the abandonment amount of t moment wind-powered electricity generation；βtFor filling for t moment energy storage
Electricity or discharge capacity；βtPositive to indicate electric discharge, bearing indicates charging；N is the total amount of generator；T is total optimization time；
The abandonment is constrained to the generated energy that each moment abandonment amount of wind-powered electricity generation is no more than wind-powered electricity generation, that is,
0≤αt≤Pwind,t
In formula, Pwind,tFor the generated energy of t moment wind-powered electricity generation.
The energy storage state that the energy storage charging and discharging state is constrained to each moment need to meet the constraint of energy storage state bound,
That is,
Et-βtΔt/η1≥Edown
Et-βtΔtη2≤Eup
In formula, EtFor the state of t moment energy storage；Eup, EdownThe respectively bound of energy storage state；Δ t is time interval；
η1, η2The respectively efficiency of energy storage electric discharge and charging；
The Network Security Constraints are the constraint of each moment electric system active balance, Line Flow constrains, generator goes out
Force constraint and each Transmission Lines limit restraint, that is,
Pij,t=Bij(θj,t-θi,t)
Pg,k,min≤Pg,k,t≤Pg,k,max
|Pij,t|≤Pij,lim
In formula, LktFor the transimission power in t moment route k, DntFor the load of t moment n node, δ+(n) and δ-(n) respectively
For using n node as the route of end and head end, Pg,k,tFor the power output of t moment generator k, PwtFor the grid-connected function of t moment wind-powered electricity generation
Rate, Pg,k,tFor the susceptance of route ij, Pij,tFor the trnamission capacity on t moment route ij, Pij,limFor the transmission capacity pole of route ij
Limit, θi,t,θj,tThe respectively phase angle of t moment i-node and j node.
The abandonment situation α of each moment wind-powered electricity generation is obtained by solving above-mentioned formula, that is, power system optimal dispatch modeltWith
The charge status β of each moment energy storaget, as wind power climbing event leeward storage combined dispatching strategy；Optimized Operation
The result is that provide the combined dispatching strategy of abandonment and energy storage for traffic department, and provide power output reference for each generating set.
Compared with prior art, the invention has the following beneficial effects:
The present invention utilizes the prediction data of wind power, recognizes the wind power climbing that may occur in each period
Event, and the joint optimal operation stored up by wind can stabilize wind-electricity integration while eliminating wind power climbing event
Power swing, and improve system operation economy.
Detailed description of the invention
Fig. 1 is that the wind of the embodiment of the present invention stores up association system structural schematic diagram.
Fig. 2 is compared by the strategy that mentions of the embodiment of the present invention with the wind-electricity integration power situation of strategy of the invention is not used
Figure.
Fig. 3 is the charge-discharge electric power figure of the energy storage of the embodiment of the present invention.
Fig. 4 is the flow chart of the embodiment of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
In power grid as shown in Figure 1, the energy storage of the wind-powered electricity generation and 200MW of rated power 1200MW is incorporated to IEEE-RTS24
A kind of standard test system of (standard test system) node, the prediction power of wind-powered electricity generation is as shown in Figure 2 (asterisk solid line).
As shown in figure 4, the wind storage combined optimization operation method under present embodiments providing a kind of wind power climbing event,
Including two stages: climbing event recognition stage and wind store up the combined optimization operation phase.
Specifically includes the following steps:
(1) climb the event recognition stage
Step S1: the climbing rate of wind-powered electricity generation in each period is calculated by the prediction power of wind-powered electricity generation in Fig. 2；
Each period in each period is 1min；
Step S2: according to the operating status of electric system, the climbing that can bear in electric system each period is calculated
Threshold value bound；
Step S3: electric power obtained in the climbing rate of wind-powered electricity generation and step S2 in each period according to obtained in step S1
The climbing threshold value bound of system recognizes the wind power climbing event in each period；
(2) wind stores up the combined optimization operation phase
Step S4: the wind-powered electricity generation climbing thing obtained according to the wind power climbing event recognized in step S3 in each period
Part identification result comprehensively considers the operating status of abandonment and energy storage and the regulating power of electric system generator, to power train
System optimizes scheduling, the wind power climbing event that may occur to eliminate electric system.
In the present embodiment, the particular content of the step S1 are as follows:
In the climbing event recognition stage, have by the formula that wind-powered electricity generation function prediction rate calculates wind-powered electricity generation climbing rate in each period
Body are as follows:
λt=| Pwind,t+1-Pwind,t|/Δt
In formula, λtFor the climbing rate of t moment wind-powered electricity generation；Pwind,t+1And Pwind,tRespectively t+1 moment and t moment wind-powered electricity generation is pre-
Power scale, Δ t are the time interval of each period.
In the present embodiment, the particular content of the step S2 are as follows:
The climbing threshold value of the electric system refers to the maximum climbing rate that electric system can bear, when wind-powered electricity generation climbing rate
When more than this threshold value, it is limited to the climbing limitation of system generator, can not be made up in a short time because wind-powered electricity generation climbing event is made
At for electricity consumption balance phenomenon, will cause the mistake load of system；The climbing of the generator limits, and shows as maximum per minute adjust
Whole contribute accounts for the percentage of rated capacity.
The calculating of the electric system climbing threshold value bound specifically:
In formula,WithThe respectively upper limit and lower limit of t moment electric system climbing threshold value；Respectively
Swash ratio of slope and the lower climbing rate of i-th generator, N are generator number total in electric system；NtFor in t moment electric system
Do not have regulating power or have reached the generator collection of accommodation limit, Δ t is the time interval of each period.
In the present embodiment, the particular content of the step S3 are as follows:
The discrimination method of wind power climbing event is in wind-powered electricity generation climbing rate and system climbing threshold value in a certain period
The relationship of lower limit, specifically:
If the climbing rate of wind-powered electricity generation meets above-mentioned relation in a certain period, which will not occur wind power climbing thing
Part；Conversely, having the generation of wind-powered electricity generation climbing event in the period.
For example, the wind power that the prediction power (asterisk solid line) of wind-powered electricity generation and system running state obtain as shown in Figure 2
The period that climbing event occurs are as follows: 4~5min, 6~7min, 15~16min, 16~17min, 26~27min, 29~
30min, 30~31min, 31~32min, 32~33min, 43~44min, 49~50min, 50~51min.
In the present embodiment, the particular content of the step S4 are as follows:
The combined optimization operation phase is stored up in wind, the regulating power of abandonment, energy storage and generator is comprehensively considered, eliminates wind-powered electricity generation function
Rate is climbed event, and the power swing of wind-electricity integration is stabilized, specifically, to optimize Operation of Electric Systems cost minimization as target, with
Abandonment, energy storage charging and discharging state and network security condition are constraint:
Wherein objective function, that is, power system optimal dispatch model are as follows:
In formula, agi, awind, aenergyThe cost of electricity-generating of respectively i-th generator, wind-powered electricity generation abandonment cost and energy storage fortune
Row cost (being unit cost)；Pgi,tFor the generated energy of i-th generator t moment；αtFor the abandonment amount of t moment wind-powered electricity generation；βtFor
The charge or discharge amount of t moment energy storage；βtPositive to indicate electric discharge, bearing indicates charging；N is the total amount of generator；When T is total optimization
Between；
The abandonment is constrained to the generated energy that each moment abandonment amount of wind-powered electricity generation is no more than wind-powered electricity generation, that is,
0≤αt≤Pwind,t
In formula, Pwind,tFor the generated energy of t moment wind-powered electricity generation.
The energy storage state that the energy storage charging and discharging state is constrained to each moment need to meet the constraint of energy storage state bound,
That is,
Et-βtΔt/η1≥Edown
Et-βtΔtη2≤Eup
In formula, EtFor the state of t moment energy storage；Eup, EdownThe bound of respectively energy storage state (takes respectively here
100% rated capacity with 10% rated capacity)；Δ t is time interval；η1, η2The respectively effect of energy storage electric discharge and charging
Rate；
The Network Security Constraints are the constraint of each moment electric system active balance, Line Flow constrains, generator goes out
Force constraint and each Transmission Lines limit restraint, that is,
Pij,t=Bij(θj,t-θi,t)
Pg,k,min≤Pg,k,t≤Pg,k,max
|Pij,t|≤Pij,lim
In formula, LktFor the transimission power in t moment route k, DntFor the load of t moment n node, δ+(n) and δ-(n) respectively
For using n node as the route of end and head end, Pg,k,tFor the power output of t moment generator k, PwtFor the grid-connected function of t moment wind-powered electricity generation
Rate, Pg,k,tFor the susceptance of route ij, Pij,tFor the trnamission capacity on t moment route ij, Pij,limFor the transmission capacity pole of route ij
Limit, θi,t,θj,tThe respectively phase angle of t moment i-node and j node.
By the abandonment situation α for solving the available each moment wind-powered electricity generation of power system optimal dispatch modeltWith it is every
The charge status β of one moment energy storaget, as wind power climbing event leeward storage combined dispatching strategy；Optimized Operation
The result is that providing the combined dispatching strategy of abandonment and energy storage for traffic department, and power output reference is provided for each generating set.
For example, optimizing scheduling to the storage association system of wind shown in Fig. 1 with above-mentioned Optimal Operation Model, the result of scheduling is such as
Shown in Fig. 2, the charge-discharge electric power of energy storage is as shown in Figure 3 (wherein, positive to indicate electric discharge, bearing indicates charging), it is seen then that wind storage joint system
System limits the generation of wind power climbing event by the charge and discharge of energy storage and the abandonment in part moment wind-powered electricity generation, and
The power of wind-electricity integration has been stabilized, influence of the wind power climbing event to system can be effectively controlled.In used implementation
In example, wind-abandoning phenomenon does not occur for wind-powered electricity generation in each period.
Particularly, in the present embodiment, the described wind power climbing event is wind power under a kind of short-term time scale
Fluctuate widely.
The foregoing is merely presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification, is all covered by the present invention.
Claims (5)
1. the wind under a kind of wind power climbing event stores up combined optimization operation method, it is characterised in that: the following steps are included:
Step S1: the climbing rate of wind-powered electricity generation in each period is calculated using the prediction power of wind-powered electricity generation；
Step S2: according to the operating status of electric system, the climbing threshold value bound in electric system each period is calculated；
Step S3: electric system obtained in the climbing rate of wind-powered electricity generation and step S2 in each period according to obtained in step S1
Climbing threshold value bound, recognize in each period wind power climbing event；
Step S4: it is distinguished according to the wind-powered electricity generation climbing event that the wind power climbing event recognized in each period in step S3 obtains
Know as a result, scheduling is optimized to electric system, to eliminate the wind power climbing event of electric system generation.
2. the wind under a kind of wind power climbing event according to claim 1 stores up combined optimization operation method, feature
It is: the particular content of the step S1 are as follows:
The formula of wind-powered electricity generation climbing rate is calculated by wind-powered electricity generation function prediction rate specifically:
λt=| Pwind,t+1-Pwind,t|/Δt
In formula, λtFor the climbing rate of t moment wind-powered electricity generation；Pwind,t+1And Pwind,tThe respectively pre- measurement of power at t+1 moment and t moment wind-powered electricity generation
Rate, Δ t are the time interval of each period.
3. the wind under a kind of wind power climbing event according to claim 1 stores up combined optimization operation method, feature
It is: the particular content of the step S2 are as follows:
The climbing threshold value of the electric system refers to the maximum climbing rate that electric system can bear, the electric system climbing
The calculating of threshold value bound specifically:
In formula,WithThe respectively upper limit and lower limit of t moment electric system climbing threshold value；Respectively i-th
Swash ratio of slope and the lower climbing rate of platform generator, N are generator number total in electric system；NtFor in t moment electric system not
Have regulating power or have reached the generator collection of accommodation limit, Δ t is the time interval of each period.
4. the wind under a kind of wind power climbing event according to claim 1 stores up combined optimization operation method, feature
It is: the particular content of the step S3 are as follows:
The discrimination method of wind power climbing event are as follows:
If the climbing rate of wind-powered electricity generation meets above-mentioned relation in a certain period, which will not occur wind power climbing event；Instead
It, has the generation of wind-powered electricity generation climbing event in the period.
5. the wind under a kind of wind power climbing event according to claim 1 stores up combined optimization operation method, feature
It is: the particular content of the step S4 are as follows:
To optimize Operation of Electric Systems cost minimization as target, it is with abandonment, energy storage charging and discharging state and network security condition
Constraint:
Wherein objective function, that is, power system optimal dispatch model are as follows:
In formula, agi, awind, aenergyThe cost of electricity-generating of respectively i-th generator, wind-powered electricity generation abandonment cost and storage energy operation at
This；Pgi,tFor the generated energy of i-th generator t moment；αtFor the abandonment amount of t moment wind-powered electricity generation；βtFor t moment energy storage charging or
Discharge capacity；βtPositive to indicate electric discharge, bearing indicates charging；N is the total amount of generator；T is total optimization time；
The abandonment is constrained to the generated energy that each moment abandonment amount of wind-powered electricity generation is no more than wind-powered electricity generation, that is, 0≤αt≤Pwind,t
In formula, Pwind,tFor the generated energy of t moment wind-powered electricity generation.
The energy storage state that the energy storage charging and discharging state is constrained to each moment need to meet the constraint of energy storage state bound, that is,
Et-βtΔt/η1≥Edown
Et-βtΔtη2≤Eup
In formula, EtFor the state of t moment energy storage；Eup, EdownThe respectively bound Δ t of energy storage state is time interval；η1, η2
The respectively efficiency of energy storage electric discharge and charging；
The Network Security Constraints be each moment electric system active balance constraint, Line Flow constraint, generator output about
Beam and each Transmission Lines limit restraint, that is,
Pij,t=Bij(θj,t-θi,t)
Pg,k,min≤Pg,k,t≤Pg,k,max
|Pij,t|≤Pij,lim
In formula, LktFor the transimission power in t moment route k, DntFor the load of t moment n node, δ+ (n)With δ- (n)Respectively with n
Node is the route of end and head end, Pg,k,tFor the power output of t moment generator k, PwtFor the grid-connected power of t moment wind-powered electricity generation, Pg,k,t
For the susceptance of route ij, Pij,tFor the trnamission capacity on t moment route ij, Pij,limFor the transmission capacity limits of route ij, θi,t,
θj,tThe respectively phase angle of t moment i-node and j node.
The abandonment situation α of each moment wind-powered electricity generation is obtained by solving above-mentioned formula, that is, power system optimal dispatch modeltWith per a period of time
Carve the charge status β of energy storaget, as wind power climbing event leeward storage combined dispatching strategy；The result of Optimized Operation
It is the combined dispatching strategy of abandonment and energy storage to be provided for traffic department, and provide power output reference for each generating set.
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Application publication date: 20190809 |