CN110176785A - Generating set power output dispatching method and device based on wind-powered electricity generation climbing capacity model - Google Patents

Generating set power output dispatching method and device based on wind-powered electricity generation climbing capacity model Download PDF

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Publication number
CN110176785A
CN110176785A CN201910484691.XA CN201910484691A CN110176785A CN 110176785 A CN110176785 A CN 110176785A CN 201910484691 A CN201910484691 A CN 201910484691A CN 110176785 A CN110176785 A CN 110176785A
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wind
electricity generation
powered electricity
frc
climbing
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黄阮明
赵晶晶
费斐
郭明星
庞爱莉
张梦瑶
赵鹏飞
何欣芹
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Shanghai University of Electric Power
State Grid Shanghai Electric Power Co Ltd
University of Shanghai for Science and Technology
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Shanghai University of Electric Power
State Grid Shanghai Electric Power Co Ltd
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    • H02J3/386—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/48—Controlling the sharing of the in-phase component
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention relates to a kind of generating set power output dispatching methods and device based on wind-powered electricity generation climbing capacity model, and wherein method includes: step S1: importing wind power system parameter, and determines the upward FRC and downward FRC of wind-powered electricity generation；Step S2: the prediction data of electricity needs is imported to obtain the climbing demand of each scheduling instance；Step S3: upward FRC and downward FRC based on obtained wind-powered electricity generation, and climbing demand, distribute the commitment amount of wind-powered electricity generation；Step S4: the commitment amount based on climbing demand and wind-powered electricity generation must obtain power output climbing notch, and arrange the power output of other generating sets.Compared with prior art, the present invention provides wind-powered electricity generation participation to the FRC FRC pressure that can effectively mitigate conventional power unit.

Description

Generating set power output dispatching method and device based on wind-powered electricity generation climbing capacity model
Technical field
The present invention relates to a kind of power scheduling technologies, more particularly, to a kind of generator based on wind-powered electricity generation climbing capacity model Group power output dispatching method and device.
Background technique
Electric system uncertainty, which increasingly increases, proposes new challenge and requirement to Operation of Electric Systems flexibility.Flexibly Property multi-purpose greatly qualitative fashion description, herein for the ability of electric system supply and demand two sides response system uncertainty variation, use is soft Property climbing capacity (Flexible Ramp Capacity, FRC) quantify the flexibility of electric system.When FRC refers to a certain scheduling Carve the capacity reserved to meet the more high/low net load fluctuation of following instant.
Only conventional power unit provides FRC at present, with the increase of renewable energy permeability, only considers conventional power unit Flexibility will be difficult to that the uncertainty of electric system is effectively treated, it is therefore desirable to excavate the potential flexible energy of system.This patent Conventional power unit will be assisted to provide FRC using wind-powered electricity generation, to improve the operational flexibility of system.
Summary of the invention
It is an object of the present invention to overcome the above-mentioned drawbacks of the prior art and provide one kind to be climbed based on wind-powered electricity generation The generating set power output dispatching method and device of capacity model.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of generating set power output dispatching method based on wind-powered electricity generation climbing capacity model, comprising:
Step S1: wind power system parameter is imported, and determines the upward FRC and downward FRC of wind-powered electricity generation；
Step S2: the prediction data of electricity needs is imported to obtain the climbing demand of each scheduling instance；
Step S3: upward FRC and downward FRC based on obtained wind-powered electricity generation, and climbing demand, distribute undertaking for wind-powered electricity generation Amount；
Step S4: the commitment amount based on climbing demand and wind-powered electricity generation must obtain power output climbing notch, and arrange other power generations The power output of unit.
Other described generating sets include firepower unit, Hydraulic Power Unit and photovoltaic power generation unit.
The upward FRC of wind-powered electricity generation are as follows:
Wherein:For the upward FRC that wind-powered electricity generation under scene s is provided in t moment,It is predicted for t+1 moment wind-powered electricity generation The α quantile of power probability distribution,For the maximum creep speed of wind-powered electricity generation, Rw/pvFor T is scheduling time scale；
The downward FRC of wind-powered electricity generation are as follows:
Wherein:The downward FRC provided for t moment wind-powered electricity generation.
The scheduling time scale is 1 hour.
A kind of generating set power output dispatching device based on wind-powered electricity generation climbing capacity model, including memory, processor, and The program for being stored in memory and being executed by the processor, the processor perform the steps of when executing described program
Step S1: wind power system parameter is imported, and determines the upward FRC and downward FRC of wind-powered electricity generation；
Step S2: the prediction data of electricity needs is imported to obtain the climbing demand of each scheduling instance；
Step S3: upward FRC and downward FRC based on obtained wind-powered electricity generation, and climbing demand, distribute undertaking for wind-powered electricity generation Amount；
Step S4: the commitment amount based on climbing demand and wind-powered electricity generation must obtain power output climbing notch, and arrange other power generations The power output of unit.
Compared with prior art, the invention has the following advantages:
1) wind-powered electricity generation participation is provided to the FRC FRC pressure that can effectively mitigate conventional power unit.
2) model can ground mitigate conventional power unit climb pressure, improve system whole economic efficiency and system operation spirit Activity.
3) upper limit for devising the upward FRC and downward FRC of wind-powered electricity generation avoids caused by the inaccuracy that wind power output is distributed Power grid accident.
Detailed description of the invention
Fig. 1 is the key step flow diagram of the method for the present invention；
Fig. 2 provides FRC schematic diagram for wind-powered electricity generation；
Fig. 3 provides the schematic diagram of FRC for wind-powered electricity generation；
Fig. 4 is the prediction desired value of wind-powered electricity generation load；
Fig. 5 is that the FRC of basic model dispatches schematic diagram；
Fig. 6 dispatches schematic diagram for the FRC that wind-powered electricity generation provides FRC.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention Premised on implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is not limited to Following embodiments.
A kind of generating set power output dispatching method based on wind-powered electricity generation climbing capacity model, this method is with the shape of computer program Formula is realized that corresponding device includes memory, processor, and is stored in memory and is held by processor by computer system Capable program, as shown in Figure 1, processor performs the steps of when executing program
Step S1: importing wind power system parameter, and determine the upward FRC and downward FRC of wind-powered electricity generation,
Since wind-powered electricity generation has uncertainty, participate in providing FRC at present not as flexible resource, actually wind-powered electricity generation is most Using the generator for being equipped with power electronic equipment and Dynamic matrix control device, power output can be quickly adjusted, there is enough offer FRC's Climbing capacity.Fig. 3 illustrates that wind-powered electricity generation provides the ability of FRC, and A* is the practical power output of t moment wind-powered electricity generation, and B0 is what the t+1 moment contributed Desired value, t+1 moment practical power output B* are any one point in indeterminacy section [Bd, Bu].
The upward FRC: wind-powered electricity generation of wind-powered electricity generation reduces power output can provide more schedulable capacity for following instant, by t moment The power output of wind-powered electricity generation is by future position A0It is decreased to low spot A1, (A is increased for the t+1 moment0—A1) schedulable capacity.T moment wind-powered electricity generation There is provided the exportable power and t moment practical constraint contributed of the ability by the t+1 moment of upward FRC, it is contemplated that wind-powered electricity generation Uncertainty predicts downside (1- α) quantile (B (1- α)) of power output probability distribution with the t+1 moment to constrain upward FRC, in figure B α and A1Vertical range be the maximum that can provide of t moment FRC capacity upwards, consider further that the creep speed in scheduling time scale Limitation, t moment wind-powered electricity generation provide upward FRC and may be expressed as:
Wherein:For the upward FRC that wind-powered electricity generation under scene s is provided in t moment,It is predicted for t+1 moment wind-powered electricity generation The α quantile of power probability distribution,For the maximum creep speed of wind-powered electricity generation, Rw/pvFor T is scheduling time scale, and it is small to be chosen as 1 When；
The downward FRC of wind-powered electricity generation, wind-powered electricity generation directly provide downward FRC by abandonment, t moment provide the ability of downward FRC by To t+1 moment exportable power constraint.Consider uncertainty, predicts downside (1- α) quantile of power output with the t+1 moment to constrain Wind-powered electricity generation provides downward FRC, A in figure1Vertical range with B α is the downward FRC capacity of maximum that t moment can provide, and considers further that scheduling Creep speed limitation in time scale, t moment wind-powered electricity generation provide downward FRC and may be expressed as:
Wherein:The downward FRC provided for t moment wind-powered electricity generation.
Downward FRC: wind-powered electricity generation directly provides downward FRC by abandonment, when t moment provides the ability of downward FRC by t+1 Carve exportable power constraint.Consider uncertainty, predicts that downside (1- α) quantile of power output mentions to constrain wind-powered electricity generation with the t+1 moment For downward FRC, A in figure1Vertical range with B α is the downward FRC capacity of maximum that t moment can provide, and considers further that scheduling time ruler Creep speed limitation in degree, t moment wind-powered electricity generation provide downward FRC and are represented by
In formula:Indicate the downward FRC that t moment wind-powered electricity generation provides.
Step S2: the prediction data of electricity needs is imported to obtain the climbing demand of each scheduling instance；
FRC is intended to solve the variability and uncertainty of system change simultaneously, by calculating climbing for each scheduling time section Slope demand distributes FRC.Fig. 2 is illustrated from T0To T3Three scheduling times section in FRU (upward FRC) and FRD (downward FRC) The variation of demand.L0, L1, L2And L3It is the prediction net load of corresponding time.u1, u2, u3And d1, d2, d3It is when considering corresponding respectively Between predict the probabilistic bound of net load.Moment T0Climbing demand consist of two parts: the net load of prediction is in T0And T1 Between variation (L0And L1Between vertical range) and moment T1Prediction net load uncertainty (L1And u1Between correct errors Difference and L1And d1Between negative error).Because of T1Prediction load lower limit (point d1) it is higher than T0Net load (point L0), so the moment T0There is no FRD demands.And T1Prediction upper load limit (point u1) it is higher than point L0, so moment T0FRU demand be point L0And u1 Between vertical range (FRU0).Similarly, T1The climbing demand at place is by FRU1And FRD1It indicates, T2The climbing demand at place is by FRU2With FRD2It indicates.Consider the variation and uncertainty of net load, each scheduling slot passes through under formula respectively to up/down FRC demand Formula is calculated.
FRUt=max { (NLt+1-NLt+UTt+1),0}
FRDt=max { (NLt-NLt+1+DTt+1), 0 }
In formula, FRUt、FRDtSystem is respectively indicated in t moment to up/down FRC demand, NLtIndicate the net negative of t moment Lotus, UTt+1、DTt+1Respectively indicate the uncertain capacity to up/down that the t+1 moment predicts net load.
Step S3: upward FRC and downward FRC based on obtained wind-powered electricity generation, and climbing demand, distribute undertaking for wind-powered electricity generation Amount；
Step S4: the commitment amount based on climbing demand and wind-powered electricity generation must obtain power output climbing notch, and arrange other power generations The power output of unit, wherein other generating sets include firepower unit, Hydraulic Power Unit and photovoltaic power generation unit.
In addition, cost minimization can be used in assigning process, such as objective function is the total operating cost of minimum system, In order to facilitate expression, divide objective function to quinquepartite: preceding four part is respectively the operating cost of conventional power unit, wind-powered electricity generation, and the 5th Part is the punishment cost of system.
MinF=min (Fg+Fw+Fpv+Fes+Fpunish) (1)
F in formulag、Fw、Fpv、Fes、FpunishRespectively indicate conventional power unit, wind-powered electricity generation, photovoltaic, storage energy operation cost and punishment Cost, specific representation is such as shown in (5a)-(5e).
(2) first item is the start-up cost of conventional power unit, and latter three are respectively that conventional power unit provides energy, to up/down The cost of climbing capacity；H indicates that scheduling slot number, G indicate conventional power unit set in formula, and S indicates total scene number, ρsIndicate scene S's general, ui,t={ 0,1 } indicates the starting state variable of unit i, SUiFor the start-up cost of unit i；Ci() indicates conventional machine The fuel cost function of group i,Indicate the output power of unit i,Indicate cost coefficient of the unit i to up/down FRC；Indicate that unit i provides to up/down FRC.It (3) is the cost of energy of wind-powered electricity generation, up and down FRC cost；C in formulaw/pv/esTable Show the cost of energy coefficient of wind；πw/pv/es,u、πw/pv/es,dIndicate that wind-powered electricity generation provides the cost coefficient of up and down FRC；Indicate the up and down FRC capacity that wind-powered electricity generation t moment provides.(4) it is system punishment cost, is punished by cutting load Cost and FRC deficiency punishment cost is penalized to constitute, CL indicates the cost coefficient of cutting load, Δ lt,sIndicate t moment cutting load amount, ω Indicate FRC deficiency penalty coefficient,Lack capacity to up/down FRC for t moment.
For the constraint condition of conventional power unit, every 1h is combined due to the start and stop of conventional power unit and determines that once, Unit Combination needs The constraint condition of satisfaction is for example 1) -2) shown in, other constraint conditions are for example 3) -4) shown in.
1) Unit Commitment state constraint
xi,t,s-xi,t-1,s=ui,t,s-vi,t,s (5)
X in formulai,t,s={ 0,1 } indicates that unit i indicates operating status in the state variable of moment t, 1, and 0 indicates stoppage in transit shape State；vi,t,s={ 0,1 } indicates unit i in the shutdown status variable of moment t.
2) unit minimum start-off time constraints
MUT in formulai、MDTiRespectively indicate the minimum available machine time and minimum unused time of unit i.
3) unit capacity constrains
In formulaRespectively indicate the peak power output and minimum output power of unit i.
4) unit ramp loss
In formulaRespectively unit i is limited to up/down creep speed.
It is as follows for wind-powered electricity generation constraint condition:
The constraint condition of wind-powered electricity generation in addition to need consider constraint FRC constraint, other than, it is also necessary to consider Climing constant, as follows.
Power-balance, system FRC demand etc. are constrained
1) power-balance constraint
2) system FRC is constrained
To make system have enough flexibilities the variation that responds net load, the FRC that system provides should be greater than the FRC of system Demand, system FRC constraint of demand are as follows.
Formula (15a) and the left side (15b) are FRC total amount (conventional power unit, wind-powered electricity generation, photovoltaic and the energy storage offer that system provides FRC) and the insufficient capacity of FRCRight side is to consider the probabilistic system FRC demand of net load.In formula,Capacity is not known to up/down for net load, is contributed and is determined by the prediction of load, wind-powered electricity generation and photovoltaic, is expressed as follows:
η in formulaL,u/d、ηw,u/d、ηpv,u/dRespectively indicating load, wind-powered electricity generation, the uncertain to up/down of photovoltaic power generation output forecasting is Number.
3) nonnegativity restrictions
Simulating, verifying is carried out below
In the present embodiment totally 5 conventional power units, wind power plant system as simulation model.The dependency number of conventional power unit According to such as table 1, the fuel cost of conventional power unit i is the quadratic function form A of output poweri(p)=aip2+bip+ci.Wind power plant is held Amount is 250MW, and maximum climbing rate is 20MW/min, and wind-powered electricity generation provides the cost coefficient π of FRCw,u/d=20 $/(MW.h).
1 conventional power unit relevant parameter of table
The uncertainty for describing load, wind power output using scene method herein, respectively generates 100 by Latin Hypercube Sampling A load, wind power output scene, application scenarios are cut down technology and are all cut down to 5 scenes, and 125 scenes are combined into, Gurobi optimizer is called to solve the example on matlab platform.
FRC distribution condition is as follows: the Unit Combination model of this paper obtains the FRC scheduling result of 1h, following load, wind for 24 hours Next the power output desired value of electricity is as shown in figure 4, analyze the FRC scheduling result of 4 kinds of situations.
Firstly, will only consider that conventional power unit provides the model of FRC as basic model, Fig. 5 is the FRC power output point of the model With the case where, all FRC demands are all provided by conventional power unit as seen from the figure, conventional power unit provide upward FRC be in 11:00 101MW is the 11.2% of conventional power unit total installation of generating capacity；Downward FRC is 135.05MW in 22:00, is conventional power unit total installed capacity The 15% of capacity.It can be seen that conventional power unit is needed, there are biggish schedulable capacity to provide FRC.On basic model, wind-powered electricity generation is considered It participates in providing FRC, Fig. 6 is the FRC output distribution situation of conventional power unit and wind-powered electricity generation.As seen from the figure, wind-powered electricity generation provide 13.1% to Upper FRC, for downward FRC, wind-powered electricity generation accounting is 27.3%, hence it is evident that the addition of wind-powered electricity generation alleviates conventional power unit and provides the pressure of FRC.
The application provides wind-powered electricity generation participation to FRC and is integrated into random Unit Combination model, and simulation analysis shows adding for wind-powered electricity generation Enter to alleviate the FRC pressure of conventional power unit.It is analyzed from economic and technical, it is found that the model can effectively mitigate conventional power unit Climbing pressure, improves system whole economic efficiency, to improve the flexibility of system operation.

Claims (8)

  1. The dispatching method 1. a kind of generating set based on wind-powered electricity generation climbing capacity model is contributed characterized by comprising
    Step S1: wind power system parameter is imported, and determines the upward FRC and downward FRC of wind-powered electricity generation；
    Step S2: the prediction data of electricity needs is imported to obtain the climbing demand of each scheduling instance；
    Step S3: upward FRC and downward FRC based on obtained wind-powered electricity generation, and climbing demand, distribute the commitment amount of wind-powered electricity generation；
    Step S4: the commitment amount based on climbing demand and wind-powered electricity generation must obtain power output climbing notch, and arrange other generating sets Power output.
  2. The dispatching method 2. a kind of generating set based on wind-powered electricity generation climbing capacity model according to claim 1 is contributed, it is special Sign is that other described generating sets include firepower unit, Hydraulic Power Unit and photovoltaic power generation unit.
  3. The dispatching method 3. a kind of generating set based on wind-powered electricity generation climbing capacity model according to claim 1 is contributed, it is special Sign is, the upward FRC of wind-powered electricity generation are as follows:
    Wherein:For the upward FRC that wind-powered electricity generation under scene s is provided in t moment,It is general for t+1 moment wind-powered electricity generation prediction power output The α quantile of rate distribution,For the maximum creep speed of wind-powered electricity generation, Rw/pvFor T is scheduling time scale；
    The downward FRC of wind-powered electricity generation are as follows:
    Wherein:The downward FRC provided for t moment wind-powered electricity generation.
  4. The dispatching method 4. a kind of generating set based on wind-powered electricity generation climbing capacity model according to claim 3 is contributed, it is special Sign is that the scheduling time scale is 1 hour.
  5. The dispatching device 5. a kind of generating set based on wind-powered electricity generation climbing capacity model is contributed, which is characterized in that including memory, place Device, and the program for being stored in memory and being executed by the processor are managed, the processor is realized when executing described program Following steps:
    Step S1: wind power system parameter is imported, and determines the upward FRC and downward FRC of wind-powered electricity generation；
    Step S2: the prediction data of electricity needs is imported to obtain the climbing demand of each scheduling instance；
    Step S3: upward FRC and downward FRC based on obtained wind-powered electricity generation, and climbing demand, distribute the commitment amount of wind-powered electricity generation；
    Step S4: the commitment amount based on climbing demand and wind-powered electricity generation must obtain power output climbing notch, and arrange other generating sets Power output.
  6. The dispatching device 6. a kind of generating set based on wind-powered electricity generation climbing capacity model according to claim 5 is contributed, it is special Sign is that other described generating sets include firepower unit, Hydraulic Power Unit and photovoltaic power generation unit.
  7. The dispatching device 7. a kind of generating set based on wind-powered electricity generation climbing capacity model according to claim 1 is contributed, it is special Sign is, the upward FRC of wind-powered electricity generation are as follows:
    Wherein:For the upward FRC that wind-powered electricity generation under scene s is provided in t moment,It is general for t+1 moment wind-powered electricity generation prediction power output The α quantile of rate distribution,For the maximum creep speed of wind-powered electricity generation, Rw/pvFor T is scheduling time scale；
    The downward FRC of wind-powered electricity generation are as follows:
    Wherein:The downward FRC provided for t moment wind-powered electricity generation.
  8. The dispatching device 8. a kind of generating set based on wind-powered electricity generation climbing capacity model according to claim 7 is contributed, it is special Sign is that the scheduling time scale is 1 hour.
CN201910484691.XA 2019-06-05 2019-06-05 Generating set power output dispatching method and device based on wind-powered electricity generation climbing capacity model Pending CN110176785A (en)

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Application publication date: 20190827