CN109713721A - A kind of new-energy grid-connected running simulation method - Google Patents
A kind of new-energy grid-connected running simulation method Download PDFInfo
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Abstract
A kind of new-energy grid-connected running simulation method.The characteristics such as randomness and uncontrollability first against wind speed establish wind speed probability density function, the pdf model based on blower power output with the relationship export Wind turbines power output of wind speed；For the fluctuation of illumination, solar irradiance probability Distribution Model is established, obtains wind-powered electricity generation, photovoltaic power producing characteristics, and then obtains new energy power output model.And by obtained new energy power output model insertion with the minimum objective function of system cost of electricity-generating, take into account in the optimization economic load dispatching model of Network Security Constraints.Finally, obtaining fining day operation simulation model.
Description
Technical field
The present invention relates to a kind of running simulation methods of dispatching of power netwoks.
Background technique
In recent years, as fossil energy is increasingly exhausted, countries in the world all simultaneously sight is turned into new energy.So
And as more and more renewable energy electric fields build up and put into power grid, renewable energy be incorporated into the power networks caused by it is a variety of
Adverse effect also comes one after another.The technical problems such as unstability, fluctuation and low voltage crossing due to renewable energy power output
It cannot thoroughly capture in a short time, the grid-connected multiple dimensioned safety that will bring system generator rotor angle, voltage and frequency etc. of renewable energy
Stable operation risk can even injure the safety of conventional thermal power unit and extra-high voltage direct-current backbone power transmission network under extreme case
Stable operation, and then seriously restrict the interconnection ability to send outside and consumption water of power grid large size renewable energy source base renewable energy
It is flat.In addition, influenced by the uncertainty of wind speed, illumination, wind-powered electricity generation, photoelectricity power output fluctuation clearly, domestic more ground abandonment
For amount in situation is risen, situation is further severe.
Domestic and foreign scholars have done many research to research new-energy grid-connected problem, most of to improve new-energy grid-connected consumption
The method of ability is equipped with conventional thermoelectricity more or applies the methods of energy storage, but these methods are by economic cost, geography
The restriction of position and energy storage technology and new energy digestion capability cannot be effectively improved.Rarely has research high proportion development of renewable energy
The influence to power grid is opened up, the Power System Planning theoretical method for considering that high renewable energy is concentrated under access conditions is established, is carried out
High proportion renewable energy accesses power grid and refines running simulation technical research.
Summary of the invention
It is an object of the invention to overcome the disadvantages mentioned above of the prior art, a kind of new-energy grid-connected running simulation side is proposed
Method.
The present invention program the technical solution adopted is as follows:
The characteristics such as randomness and uncontrollability first against wind speed establish wind speed probability density function, are contributed based on blower
Go out the pdf model of Wind turbines power output with the relation derivation of wind speed；For the fluctuation of illumination, solar irradiance is established
Probability Distribution Model obtains photovoltaic plant power output probability density mathematical model, and then obtains new energy power output model.And it will obtain
New energy power output model insertion with the minimum objective function of system cost of electricity-generating, take into account the optimization economy tune of Network Security Constraints
It spends in model.Finally, obtaining the fining running simulation model of new-energy grid-connected.
Steps are as follows:
1, based on the fining running simulation technological frame of power constraint, consider different types of power supply power output, really
Surely consider that the fining running simulation basic ideas of power constraint, the probability density mathematical model and photoelectricity for establishing wind power output go out
Power probability density mathematical model；
2, the characteristics of being networked according to wind light mutual complementing electric power establishes the mathematical model of wind light mutual complementing electric power networking, the mathematical modulo
Type includes the cost of electricity-generating of thermal power generation, wind-power electricity generation and photovoltaic power generation:
3, by obtained new energy power output model insertion with the minimum objective function of system cost of electricity-generating, take into account network security
In the optimization economic load dispatching model of constraint, fining running simulation model is obtained.
Each step is specific as follows:
1. considering different types of power supply power output, really based on the fining running simulation technological frame of power constraint
Surely the fining running simulation basic ideas for considering power constraint establish the probability density mathematical model of wind-powered electricity generation, photoelectricity power output.
Go out the pdf model of Wind turbines power output with the relation derivation of wind speed based on blower power output:
Wherein, fVIt (v) is wind speed profile probability density function, υ is real-time wind speed, vrFor rated wind speed；K and c is Weibull
The form parameter and scale parameter of distribution, can by statistical time range wind speed average value mu and standard variance σ acquire, such as formula (2) and
Shown in formula (3):
Wherein, Γ is gamma function.
In formula, pwFor Wind turbines power output；For power of fan coefficient, power of fan coefficientBe blower tip speed ratio and
The nonlinear function of propeller pitch angle；ρ is atmospheric density；A is swept area of rotor；V is wind speed.
Due to the usual very little of non-linear factor influence in formula (4), the present invention uses the linear segmented as shown in formula (5)
Function simplifies the relationship of expression Wind turbines power output and wind speed.
In formula, pwIt contributes for Wind turbines,For the rated power of blower, vinFor incision wind speed, the v of bloweroutFor blower
Cut-out wind speed, vrFor the rated wind speed of blower.
When wind speed is higher than the incision wind speed v of blowerinWhen, blower starting is incorporated into the power networks；When wind speed is equal to or more than blower
Rated wind speed vrWhen, blower keeps rated power output；When wind speed is lower than the incision wind speed v of blowerinOr cutting out higher than blower
Wind speed voutWhen, fan parking and and grid disconnection.
Based on the relationship of blower power output and wind speed, composite type (1) and formula (5) can further export the general of Wind turbines power output
Rate density function fw(pw), which is piecewise function.When wind speed obeys Weibull distribution, blower power output pwIt is equal to 0 or specified
PowerWhen, Wind turbines power output pwIt is represented by formula (6) and formula (7).
Work as pwIt is arrived in 0Between probability density function fw(pw) are as follows:
In formula, fw(pw) it is the probability density function that Wind turbines are contributed, η1For Wind turbines power efficiency, L is specified wind
Fast vrWith incision wind speed vinDifference and incision wind speed vinThe ratio between, L is only simplified formula, no practical significance.
The mathematical model of the power output of photovoltaic plant in order to obtain establishes solar irradiance probability for the fluctuation of illumination
Distributed model such as formula (11), formula (12) and formula (13), and then obtain photovoltaic plant power output probability density mathematical model:
In formula: f (r) is positive irradiation level probability-distribution function, and r is the practical irradiation level of the sun of the period, rmaxFor the period
Sun maximum irradiation level；Г is gamma function；α and β is Beta profile shape parameter；θ is the mean value of solar irradiance, and δ is
The standard deviation of solar irradiance.
ppvThe power output mathematical model of photovoltaic generating system:
ppv=rS η2 (14)
In formula: ppvFor the power output of photovoltaic generating system, S is photovoltaic array effective area；η2For photoelectric conversion efficiency.
From formula (11) and formula (14) as can be seen that the power output of photovoltaic generating system is also in Beta distribution, photovoltaic generating system
Power output probability density function are as follows:
In formula: fp(pPV) it is the probability density function that photovoltaic generating system is contributed, ppvFor the power output of photovoltaic generating system,
ppvmaxFor the maximum output of photovoltaic generating system.
2. the characteristics of being networked according to wind light mutual complementing electric power establishes the mathematical model of wind light mutual complementing electric power networking, the mathematical modulo
Type includes the cost of electricity-generating of thermal power generation, wind-power electricity generation and photovoltaic power generation:
The economic cost of thermoelectricity power generation are as follows:
VGt=FGt+FNEPt (16)
Fired power generating unit fuel cost and environmental pollution punishment cost collectively constitute thermoelectricity power generation economic cost.
In formula: i indicates generator group number, and m indicates generating set sum；VGtFor fired power generating unit i power generation economic cost,
FGtIndicate fuel cost, the F of fired power generating unit iNEPtIndicate the environmental pollution punishment cost of fired power generating unit i；ai、bi、ciIndicate thermoelectricity
The fuel cost coefficient of unit i specific power；αi、βi、γiIndicate its pollutant discharge coefficient；piIndicate fiery in the unit time
The power generating value of motor group；CNEPtIndicate environmental pollution punishment cost coefficient.
Wind power plant economic cost are as follows:
VWt=Fwt+FSt+FRt (19)
Wind power plant economic cost includes conventional power generation cost FWt, spinning reserve punishment cost FStWith abandonment punishment cost FRt。
Wherein, CwFor the cost coefficient of Wind turbines,It contributes for i-th Wind turbines plan.If the blower is out of service, wind energy one
As do not generate cost consumption, then by the cost coefficient C of Wind turbineswIt is set as 0.When each blower plan is contributedAfter determination, consider
Each blower is overestimated probability, and total wind-powered electricity generation can be calculated by formula (20) and over-evaluates uneven cost FSt.Wherein, CSFor Wind turbines
Over-evaluate uneven cost coefficient, be i-th Wind turbines rated power,For i-th Wind turbines actually active power output,fw,i(pw) it is i-th Wind turbines power output probability density function.
Photovoltaic plant economic cost are as follows:
VPt=Fpt+FPSt (22)
Photovoltaic plant economic cost includes conventional power generation cost FptWith spinning reserve punishment cost FPSt。
In above-mentioned formula, CpwFor the cost coefficient of photovoltaic unit, CPsUneven cost coefficient, p are over-evaluated for photoelectricity unitp-i
For i-th photoelectricity unit rated power, ppv-iThe actually active power output of i-th photoelectricity unit, fp,i(ppv-i) it is i-th photoelectricity machine
The power output probability density function of group.
3. finally, by obtained new energy power output model insertion with the minimum objective function of system cost of electricity-generating, take into account net
In the optimization economic load dispatching model of network security constraint, fining running simulation model is obtained.
The objective function are as follows:
MinF=VGt+VWt+VPt (25)
It is the objective function of the smallest economic load dispatching with total generation cost for minF, wherein F is total power production cost.
Prescribed Properties are as follows:
Formula (26) is system power Constraints of Equilibrium, in formula: piIndicate the power generating value of the fired power generating unit in the unit time,For
I-th Wind turbines plan power output, LloadIndicate workload demand, LlossIndicate transmission losses；Formula (27) be the unit output upper limit about
Beam, lower limit constraint,Respectively indicate the power output lower limit value and upper limit value of unit i；Formula (28) is node voltage amplitude
Bound constraint, formula: UiFor the voltage of i-th of node,Respectively node i voltage magnitude upper and lower limit.
Detailed description of the invention
Fig. 1 is the flow chart of running simulation method of the present invention.
Specific embodiment
The present invention is further illustrated below in conjunction with the drawings and the specific embodiments.
As shown in Figure 1, the process that the present invention refines running simulation method is as follows:
1. considering different types of power supply power output based on the running simulation technological frame of power constraint, determining and consider
The fining running simulation model basic ideas of power constraint establish the probability density mathematical model of new energy power output.
2. the characteristics of being networked according to wind light mutual complementing electric power establishes the mathematical model of wind light mutual complementing electric power networking, the mathematical modulo
Type includes the cost of electricity-generating of thermal power generation, wind-power electricity generation and photovoltaic power generation.Wherein, fired power generating unit fuel cost is punished with environmental pollution
Cost is penalized to collectively constitute thermoelectricity power generation economic cost, wind power plant economic cost includes conventional power generation cost FWt, spinning reserve punishment
Cost FStWith abandonment punishment cost FRt, photovoltaic plant economic cost includes conventional power generation cost Fpt, spinning reserve punishment cost
FPSt。
3. by obtained fining running simulation model insertion with the minimum objective function of system cost of electricity-generating, consideration network
In the optimization economic load dispatching model of security constraint, fining running simulation model is obtained.
Claims (4)
1. a kind of new-energy grid-connected running simulation method, which is characterized in that the step of the new-energy grid-connected running simulation method
Suddenly are as follows:
(1) based on the fining running simulation technological frame of power constraint, consider different types of power supply power output, determination is examined
The fining running simulation basic ideas for considering power constraint, what the probability density mathematical model and photoelectricity for establishing wind power output were contributed
Probability density mathematical model；
(2) the characteristics of being networked according to wind light mutual complementing electric power establishes the mathematical model of wind light mutual complementing electric power networking, the mathematical model packet
Include the cost of electricity-generating of thermal power generation, wind-power electricity generation and photovoltaic power generation；
(3) by obtained new energy power output model insertion with the minimum objective function of system cost of electricity-generating, take into account network security about
In the optimization economic load dispatching model of beam, fining running simulation model is obtained.
2. analogy method according to claim 1, which is characterized in that the step (1) establishes the general of Wind turbines power output
The method of rate density model are as follows: establish wind speed probability density function, wind turbine is gone out based on blower power output and the relation derivation of wind speed
The pdf model of group power output:
Wherein, fVIt (v) is wind speed profile probability density function, υ is real-time wind speed, vrFor rated wind speed；K and c is Weibull distribution
Form parameter and scale parameter, by statistical time range wind speed average value mu and standard variance σ acquire, such as formula (2) and (3) institute
Show:
Wherein, Γ is gamma function；
In formula, pwFor Wind turbines power output；It is the nonlinear function of blower tip speed ratio and propeller pitch angle for power of fan coefficient；
ρ is atmospheric density；A is swept area of rotor；V is wind speed；
Simplify the relationship of expression Wind turbines power output and wind speed using the linear segmented function as shown in formula (5):
In formula, pwIt contributes for Wind turbines,For the rated power of blower, vinFor the incision wind speed of blower, voutFor cutting for blower
Wind speed out, vrFor the rated wind speed of blower,For the rated power of blower；
When wind speed is higher than the incision wind speed v of blowerinWhen, blower starting is incorporated into the power networks；When wind speed is equal to or more than the specified of blower
Wind speed vrWhen, blower keeps rated power output；When wind speed is lower than the incision wind speed v of blowerinOr the cut-out wind speed higher than blower
voutWhen, fan parking and and grid disconnection；
Based on the relationship of blower power output and wind speed, the probability density function f of composite type (1) and formula (5) export Wind turbines power outputw
(pw)；When wind speed obeys Weibull distribution, blower power output pwEqual to 0 or rated powerWhen, pwIt is expressed as formula (6) and formula
(7):
Work as pwIt is arrived in 0Between probability density function fw(pw) are as follows:
In formula, fw(pw) it is the probability density function that Wind turbines are contributed, η1For Wind turbines power efficiency, L is rated wind speed vr
With incision wind speed vinDifference and incision wind speed vinThe ratio between, L is only simplified formula, no practical significance.
3. analogy method according to claim 1, which is characterized in that in the step (1), establish photovoltaic plant power output
The method of probability density mathematical model are as follows:
First against the fluctuation of illumination, solar irradiance probability Distribution Model such as formula (11), formula (12) and formula (13) are established, into
And obtain the mathematical model of the power output of photovoltaic plant:
In formula: f (r) is positive irradiation level probability-distribution function, r and rmaxThe practical irradiation level of the sun of the respectively period and maximum
Irradiation level, Г are gamma function, and α and β are Beta profile shape parameter, and θ is the mean value of solar irradiance, and δ is solar irradiance
Standard deviation；
ppvFor the power output of photovoltaic generating system:
ppv=rS η2 (14)
In formula: ppvFor the power output of photovoltaic generating system, S is photovoltaic array effective area；η2For photoelectric conversion efficiency；
From formula (11) and formula (14) it is found that the power output of photovoltaic generating system is also in Beta distribution, the power output of photovoltaic generating system is general
Rate density function are as follows:
In formula: fp(pPV) be photovoltaic generating system power output probability density function, ppvFor the power output of photovoltaic generating system, ppvmaxFor
The maximum output of photovoltaic generating system.
4. analogy method according to claim 1, which is characterized in that the step (2) establishes the networking of wind light mutual complementing electric power
Mathematical model method it is as follows:
The system cost of electricity-generating includes thermoelectricity power generation economic cost, wind power plant economic cost, photovoltaic plant economic cost, respectively
Item cost is as follows:
Thermoelectricity power generation economic cost:
VGt=FGt+FNEPt (16)
Fired power generating unit fuel cost and environmental pollution punishment cost collectively constitute thermoelectricity power generation economic cost；In formula: i indicates power generation
Machine group number, m indicate generating set sum；VGt、FGt、FNEPtRespectively indicate the power generation economic cost of fired power generating unit i, fuel cost and
Environmental pollution punishment cost；ai、bi、ciIndicate the fuel cost coefficient of fired power generating unit i specific power；αi、βi、γiIndicate its dirt
Contaminate object emission factor；piIndicate the power generating value of the fired power generating unit in the unit time；CNEPtIndicate environmental pollution punishment cost coefficient；
Wind power plant economic cost:
VWt=Fwt+FSt+FRt (19)
Wind power plant economic cost includes conventional power generation cost FWt, spinning reserve punishment cost FStWith abandonment punishment cost FRt；Its
In, CwThe cost coefficient of Wind turbines andRespectively i-th Wind turbines plan power output；If the blower is out of service, wind energy
Cost consumption is not generally generated, then by CwIt is set as 0；When each blower plan is contributedAfter determination, consideration is respectively overestimated probability,
Total wind-powered electricity generation, which is calculated, according to formula (20) over-evaluates uneven cost FSt；Wherein, CSUneven cost system is over-evaluated for Wind turbines
Number,And fw,i(pw) it is respectively i-th Wind turbines rated power, actually active power output and power output probability density letter
Number；
Photovoltaic plant economic cost:
VPt=Fpt+FPSt (22)
Photovoltaic plant economic cost includes conventional power generation cost Fpt, spinning reserve punishment cost FPSt；Wherein, CpwPhotovoltaic unit
Cost coefficient and ppv-iRespectively i-th photoelectricity unit is planned out power；If the photovoltaic unit belongs to this system, solar energy is general
Cost consumption is not generated, then by CpwIt is set as 0；If causing the actually active power output of photoelectricity to be less than because certain photovoltaic unit output is overestimated
Plan power output, it will increase system spinning reserve and balanced adjustment expense, i.e. spinning reserve punishment cost；When each photovoltaic is planned out
Power PPV-iAfter determination, consideration is respectively overestimated probability, calculates total photoelectricity by formula (24) and over-evaluates uneven cost FPSt；Wherein,
CPsUneven cost coefficient, p are over-evaluated for photoelectricity unitp-i、ppv-iAnd fp,i(ppv-i) it is respectively the i-th specified function of photoelectricity unit
Rate, actually active power output and power output probability density function；
Objective function are as follows:
MinF=VGt+VWt+VPt (25)
MinF is the objective function for taking total generation cost as the smallest economic load dispatching, and wherein F is total power production cost；
There is following constraint condition:
Wherein: formula (26) is system power Constraints of Equilibrium, in formula: piIndicate the power generating value of the fired power generating unit in the unit time,
It contributes for i-th Wind turbines plan, LloadIndicate workload demand, LlossIndicate transmission losses；Formula (27) be unit output on,
Lower limit constraint,Respectively indicate the power output lower limit value and upper limit value of unit i；Formula (28) is node voltage amplitude or more
Limit constraint, formula: UiFor the voltage of i-th of node,Respectively node i voltage magnitude upper and lower limit.
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