CN101882167B - Wind power station equivalent modeling method of large-scale wind power concentration access power grid - Google Patents

Abstract

The invention discloses a wind power station equivalent modeling method of a large-scale wind power concentration access power grid. The method comprises the following steps: based on the electrical distance between all wind power station entry points of access power grid, topology distribution, model and control mode of a wind generator in the field, adopting a coherent generator groups identification method to determine the coherent wind generator group; enabling the same coherent generator group to be equivalent as a wind generator group; adopting a weighing equivalent parameter polymerizing method to resolve all the dynamic electric parameters of the equivalent wind generator group, wherein the parameters are equivalent as a form of equivalent impedance connected the equivalent machine in series according to the static equivalence theory; resolving the relative static parameters; and based on the obtained wind power station equivalent form to develop and realize wind power station modeling in a PSD-BPA simulation platform. The method solves the problem of the wind power station equivalent modeling in the prior art, and provides the simulation tool for operation mode analysis and scheduling control of the power grid.

Description

A kind of large-scale wind power is concentrated the wind energy turbine set equivalent modeling method of access electrical network

Technical field

The invention belongs to a kind of electric system simulation modeling field, be specifically related to the wind energy turbine set equivalent modeling method that a kind of large-scale wind power is concentrated the access electrical network.

Background technology

In order to realize the grand energy strategy of low-carbon (LC), environmental protection, green and sustainable development, China greatly developed regenerative resource in recent years, put into effect a series of standard and policy for regenerative resource, given strong support at State-level, regenerative resource has obtained tremendous development.Especially wind-powered electricity generation is in the planning of the Wind-Electric Power Stations such as China three Norths, build and a series of project such as be incorporated into the power networks is all carried out.China's wind-powered electricity generation presents " access, carry at a distance, dissolve take extensive concentrating " on a large scale as main, " with extensive dispersion access; on-site elimination " is auxiliary characteristics, access in the large capacity set, carry at a distance and the exerting oneself of wind-powered electricity generation power supply itself, control characteristic etc. have determined that all wind-electricity integration can produce considerable influence to operation of power networks, and this impact has the singularity that is different from normal power supplies.The wind-powered electricity generation that has been incorporated into the power networks in areas such as Jiuquan, Jilin has highlighted the impact of power network safety operation, and the increasing along with the scale of being incorporated into the power networks, capacity, this impact will further aggravate, and the some ten million multikilowatt wind-powered electricity generation bases take Jiuquan region as representative is incorporated into the power networks especially in the near future.Characteristic in the urgent need to the research wind-powered electricity generation, the rear impact on the operation of power networks characteristic of clearly being incorporated into the power networks, ten million multikilowatt wind-powered electricity generation base concentrates access to belong in the world pioneering, can use for reference without any experience, and this just requires the core technology of China's independent research wind-powered electricity generation access electrical network analysis and control.

The analysis of research wind-powered electricity generation access electrical network needs to finish based on good simulation analysis instrument with control.Set up the Static and dynamic model of typical wind-powered electricity generation unit in the softwares such as the PSD-BPA that China is commonly used and PSASP, can tentatively grasp behind the wind-powered electricity generation set grid-connection electrical network static characteristics and transient rotor angle stability impact by this simulation analysis instrument.In engineering reality, wind-electricity integration is mostly on the impact of electrical network to be to embody from " field " angle, and namely some " machine " gathers rear comprehensive effect to electrical network.Take larger main flow single-machine capacity 1.5MW as example, such as Jiuquan region ten million millions wind-powered electricity generation base, nearly 6667 typhoon group of motors will be arranged, every unit all will be set up inner every the detailed mode of connection of unit of detailed static state, dynamic model and wind energy turbine set and all want simulation modeling when analyzing electric network influencing, this will be huge workload, not only for the operations staff, safeguard extremely inconveniently, and be incorporated into the power networks the impact for research that this also there is no need.

Summary of the invention

Be incorporated into the power networks for large-scale wind power in the prior art and analyze that to need wind energy turbine set equivalence method and rationality to have to be tested, or realize the not enough problems such as inconvenient, the invention provides a kind of equivalence method of practicality, the field model equivalence of some typhoon group of motors being gathered and having a detailed connection type is the wind energy turbine set Equivalent Model, this programme makes equivalent front and back wind energy turbine set reach unanimity on the impact of electrical network, and program realizes and is easy to maintenance, concrete scheme is as follows: a kind of large-scale wind power is concentrated the wind energy turbine set equivalent modeling method of access electrical network, it is characterized in that, based on the electrical distance between each wind farm grid-connected point of access electrical network, the topology distribution of each wind-powered electricity generation unit in the wind energy turbine set, the control model of the type of wind-powered electricity generation unit and wind-powered electricity generation unit, carry out following steps:

A, employing Coherent Generator Group identification clustering method are determined the people having the same aspiration and interest wind-powered electricity generation group of planes of all wind-powered electricity generation units in the grid connected wind power field;

B, be a wind-powered electricity generation unit with a people having the same aspiration and interest wind-powered electricity generation group of planes equivalence, adopt weighting equivalent parameters polymerization to obtain the every dynamic electric parameter of equivalent wind-powered electricity generation unit;

C, according to electric network Static Equivalent theory a people having the same aspiration and interest wind-powered electricity generation group of planes and corresponding electrical wiring are carried out Approximate Equivalent, be reduced to the static equivalents that is connected to the grid with equivalent machine serial connection equiva lent impedance, and obtain relevant static parameter;

D, based on the equivalent form of the wind energy turbine set that obtains and corresponding dynamically, static parameter, exploitation realizes the wind energy turbine set Equivalent Model in the PSD-BPA emulation platform.

Another preferred version of the present invention: described steps A Coherent Generator Group identification clustering method is:

(1), at first by wind energy turbine set and and the site between electrical distance divide a preliminary people having the same aspiration and interest wind-powered electricity generation group of planes;

(2), on the basis divided in upper step, according to wind turbine set type and wind-powered electricity generation unit electrical control pattern a preliminary people having the same aspiration and interest wind-powered electricity generation group of planes is divided again;

(3), on the basis divided in upper step, according to topological connection type in the wind energy turbine set people having the same aspiration and interest wind-powered electricity generation group of planes that obtains is divided again, obtain the heap sort of final people having the same aspiration and interest wind turbine.

Another preferred version of the present invention: the electric parameter among the described step B comprises: inertia time constant, ratio of damping, stator resistance/reactance, rotor resistance/reactance, excitatory reactance, initial launch slippage parameter and wind-powered electricity generation unit electric control system parameter, described electric parameter utilizes weighting equivalent parameters polymerization to ask for.

Another preferred version of the present invention: the static equivalents that is connected to the grid with equivalent machine serial connection equiva lent impedance of described step C, and the method for obtaining relevant static parameter is:

(1) at first establishing current amplitude and the phase place that all wind-powered electricity generation units inject the current collection circuits equates;

Secondly (2) according to the compensation of Shunt Capacitor Unit or according to wind-powered electricity generation unit output convention, the power factor of wind-powered electricity generation unit is decided to be 1;

(3) then carry out Static Equivalent, Static Equivalent may further comprise the steps:

1), the capacity of equivalent machine is each wind turbine pool-size sum of Coherent Generator Group;

2), obtain the loss of inner each the segmentation current collection circuit of a people having the same aspiration and interest wind-powered electricity generation group of planes, each minute loss value addition is obtained current collection circuit total losses;

3), obtain the loss of the equiva lent impedance of equivalent machine serial connection equiva lent impedance form;

4), utilize 2), 3) relation that two step gained loss values equate, derive current collection circuit equivalent impedance and equivalent shunt susceptance;

5), based on 2), 3) Computing Principle that above-mentioned current collection circuit equiva lent impedance consumes, utilize transformer active loss and the relation that the loss of equivalent wiring equates, release the impedance of equivalent transformer.

Another preferred version of the present invention: the emulation platform among the described step D adopts the PSD-BPA emulation platform.

The equivalent modeling method that the present invention proposes considers wind farm grid-connected some electrical distance and the relevant informations such as an interior wind-powered electricity generation unit topology distribution, type and control model, uses practical people having the same aspiration and interest wind-powered electricity generation group of planes identification clustering method to determine a people having the same aspiration and interest wind-powered electricity generation group of planes; The parameter aggregation method of employing weighting equivalence is asked for the dynamic parameter of equivalent machine, ask for wind energy turbine set Static Equivalent model as the basis take electric network Static Equivalent theory, in the PSD-BPA emulation platform Integrated Development this wind energy turbine set Equivalent Model, this programme has solved the emulation of various impacts when wind energy turbine set is connected to the grid in the prior art, fault, and provides convenience for power system operating mode and dispatching center are provided for the wind-electricity integration analysis.

Description of drawings

Fig. 1 is wind energy turbine set equivalent modeling process flow diagram.

Physical cabling form in Fig. 2 wind energy turbine set

The Equivalent Model of Fig. 3 wind energy turbine set connection type

Each wind-powered electricity generation unit and unit transformer connection type in Fig. 4 wind energy turbine set

The form such as transformer connection in Fig. 5 wind energy turbine set

The single system that the detailed wind energy turbine set of Fig. 6 is connected with infinite busbar

The complication system that the detailed wind energy turbine set of Fig. 7 is connected with the northwest major network

Equivalent and the detailed wind energy turbine set model SVC compensation capacity of wind energy turbine set contrasted (access northwest net) when the different wind-powered electricity generations of Fig. 8 were exerted oneself

Equivalent and the in detail also idle contrast in site (access northwest net) of wind energy turbine set model of wind energy turbine set when the different wind-powered electricity generations of Fig. 9 are exerted oneself

After Figure 10 removes SVC, the equivalent and in detail also idle contrast in site (access northwest net) of wind energy turbine set model of wind energy turbine set when the wind-powered electricity generation difference is exerted oneself

Equivalent and the in detail also meritorious contrast in site (access northwest net) of wind energy turbine set model of wind energy turbine set when Figure 11 wind-powered electricity generation difference is exerted oneself

Figure 12 and site three-phase shortcircuit, the equivalent circuit that is incorporated into the power networks with detailed wind energy turbine set model of wind energy turbine set is gained merit and is changed contrast (access northwest net)

Figure 13 and site three-phase shortcircuit, the equivalent safe and comfortable 1J generator's power and angle with detailed wind energy turbine set model of wind energy turbine set changes contrast, is Jingyuan 5J (access northwest net) with reference to machine

Figure 14 and site three-phase shortcircuit, equivalent also site (PCC) change in voltage with detailed wind energy turbine set model of wind energy turbine set contrasts (access northwest net)

Figure 15 praises wine-Jinchang three-phase shortcircuit, the equivalent idle variation contrast of the circuit that is incorporated into the power networks with detailed wind energy turbine set model of wind energy turbine set (access northwest net)

Figure 16 praises wine-Jinchang three-phase shortcircuit, and the equivalent circuit that is incorporated into the power networks with detailed wind energy turbine set model of wind energy turbine set is gained merit and changed contrast (access northwest net)

Figure 17 praises wine-Jinchang three-phase shortcircuit, and equivalent also site (PCC) the change in voltage situation with detailed wind energy turbine set model of wind energy turbine set contrasts (access northwest net)

Figure 18 praises wine-Jinchang three-phase shortcircuit, and the equivalent safe and comfortable 1J generator's power and angle with detailed wind energy turbine set model of wind energy turbine set changes contrast, is Jingyuan 5J (access northwest net) with reference to machine

Embodiment

The said Coherent Generator Group of the present invention is some generator that has close dynamic perfromance after system is disturbed, and the information such as electrical distance, wind turbine set type, control model and wind-powered electricity generation unit topology distribution between comprehensive and the site of it is considered herein that can determine the same tone of a group of planes.As shown in Figure 1, for a plurality of wind energy turbine set that are incorporated into the power networks in the electrical network, according to the type of the topology distribution of each unit in the electrical distance between each wind farm grid-connected point, the wind energy turbine set in the electrical network, wind-powered electricity generation unit, wind-powered electricity generation unit meritorious/control model such as idle, adopt Coherent Generator Group identification clustering method to determine the people having the same aspiration and interest wind-powered electricity generation group of planes of all wind-powered electricity generation units in the grid connected wind power field.At first determine the weight of each information, employing is carried out the identification of a people having the same aspiration and interest wind-powered electricity generation group of planes by the classifying method that the level recurrence advances with all the wind-powered electricity generation units in the wind energy turbine set, wherein pay the utmost attention to electrical distance information between the wind farm grid-connected point, calculate the electrical distance between each wind farm grid-connected point, with the class that is classified as of the less wind energy turbine set of electrical distance, as: also the site is classified as a class people having the same aspiration and interest wind turbine group in the wind energy turbine set of same primary substation low-pressure side.

On front step basis, consider that again wind turbine set type and wind-powered electricity generation unit control model further sort out, as first with doubly fed machine, directly drive, the type such as asynchronous comes the wind energy turbine set unit is advanced to sort out, further sort out for the electrical control pattern of each type, the control model such as meritorious, idle and low voltage crossing is sorted out again such as: the frequency converter of wind power unit according to the double-fed type again.

At last, in the people having the same aspiration and interest wind-powered electricity generation group of planes after classification again according to the electrical distance in each wind-powered electricity generation unit or topological connection type, it is other to continue to divide people having the same aspiration and interest wind turbine realm, as: will be connected to be incorporated into the power networks the boost wind-powered electricity generation unit of low pressure side of same of same current collection circuit and current collection connection and be classified as a class, and finish a people having the same aspiration and interest wind-powered electricity generation group of planes and sort out at last.

After finishing above-mentioned steps, be a typhoon group of motors with people having the same aspiration and interest wind-powered electricity generation group of planes equivalence, be directed to every electric parameter of wind-powered electricity generation unit: comprise inertia time constant, ratio of damping, stator resistance/reactance, rotor resistance/reactance, excitatory reactance and initial launch slippage parameter and wind-powered electricity generation unit electric control system parameter, also can comprise simultaneously the parameter relevant with the control of unit frequency-conversion device etc., adopt weighting equivalent parameters polymerization to solve the corresponding dynamic equivalent parameter of equivalent wind-powered electricity generation unit.

Wherein the weighting parameters polymerization of the equivalent wind-powered electricity generation unit of a people having the same aspiration and interest wind-powered electricity generation group of planes is:

(1) calculate first inertia constant, the ratio of damping polymerization of equivalent machine:

According to the rotor vacillation equation, a people having the same aspiration and interest wind-powered electricity generation group of planes is G, and can suppose that the equation that waves of wind-powered electricity generation unit j (j=1,2..N) wherein is:

$T_j\frac{{\mathrm{d\ω}}_j}{\mathrm{dt}}=P_{\mathrm{mj}}-P_{\mathrm{ej}}-D_j({\mathrm{\ω}}_j-1)$

In the formula: T _j, D _j, P _Mj, P _EjBe respectively inertia constant, ratio of damping, mechanical output and the electromagnetic power of j platform generator, each parameter value is all with himself rated capacity S _jPerunit value for base value.

The N platform people having the same aspiration and interest machine equation of motion is superimposed, (be ω owing to mouse cage asynchronous wind-powered electricity generation generating unit speed is identical _j=ω), utilize weighting can obtain after the polymerization with equivalent machine capacity S _G(each single-machine capacity sum) waves equation for the equivalent machine of base value capacity:

$\underset{\∀j\∈G}{\mathrm{\Σ}}\left(\frac{S_j}{S_G}{T}_j\right)\frac{\mathrm{d\ω}}{\mathrm{dt}}=\underset{\∀j\∈G}{\mathrm{\Σ}}\left\{\frac{S_j}{S_G}\right[P_{\mathrm{mj}}-D_j(\mathrm{\ω}-1)-P_{\mathrm{ej}}\left]\right\}$

Then the rotor vacillation equation of synthetic equivalent machine is:

$T_G\frac{\mathrm{d\ω}}{\mathrm{dt}}=P_{\mathrm{mG}}-P_{\mathrm{eG}}-D_G(\mathrm{\ω}-1)$

In the formula: parameter should be with synthetic equivalent machine capacity S _GEquivalent machine parameter during for the base value capacity,

Order: ${\mathrm{\ρ}}_j=\frac{S_j}{\underset{\∀j\∈G}{\mathrm{\Σ}}{S}_j},$ Then $T_G=\frac{\underset{\∀j\∈G}{\mathrm{\Σ}}\left(S_j{T}_j\right)}{\underset{\∀j\∈G}{\mathrm{\Σ}}{S}_j}=\underset{j\∈G}{\mathrm{\Σ}}{\mathrm{\ρ}}_j{T}_j,$ $D_G=\frac{\underset{\∀j\∈G}{\mathrm{\Σ}}\left(S_j{D}_j\right)}{\underset{\∀j\∈G}{\mathrm{\Σ}}{S}_j}=\underset{j\∈G}{\mathrm{\Σ}}{\mathrm{\ρ}}_j{D}_j.$ Wherein, T _G, D _GBe respectively the perunit value of the inertia constant, ratio of damping (equivalent machine capacity is as base value after the polymerization) of equivalent machine after the polymerization.

(2) calculate again the polymerization of equivalent machine impedance parameter

The asynchronous generator model adopts considers rotor loop electromagnetic transient and rotor mechanical transient state process (three rank), and the equivalent circuit of every asynchronous generator adopts T-shaped equivalent circuit.Because of N platform asynchronous generator paired running on same bus all, so can be an equivalent circuit with N parallel circuit equivalent simplification, can get asynchronous generator stator impedance polymerization parameter according to the weighted sum method:

$R_{\mathrm{sG}}=\frac{a_s}{a_{\mathrm{<figure-callout\; id="2"\; label="s"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">s</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="b\; s"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">b</figure-callout>}}_s^{}},$ $X_{\mathrm{sG}}=\frac{b_s}{a_{\mathrm{<figure-callout\; id="2"\; label="s"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">s</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="b\; s"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">b</figure-callout>}}_s^{}}$

In the formula: $a_s=\underset{\&ForAll;j\&Element;G}{\mathrm{\&Sigma;}}\frac{{\mathrm{\&rho;}}_j{R}_{\mathrm{<figure-callout\; id="2"\; label="sj\; R\; sj"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">sj</figure-callout>}}}{R_{\mathrm{sj}}^{}},$ $b_s=\underset{\&ForAll;j\&Element;G}{\mathrm{\&Sigma;}}\frac{{\mathrm{\&rho;}}_j{X}_{\mathrm{<figure-callout\; id="2"\; label="sj\; R\; sj"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">sj</figure-callout>}}}{R_{\mathrm{sj}}^{}}$

In like manner, can calculate rotor resistance R _RGWith rotor reactance X _RG

The excitatory reactance of equivalent generator:

To sum up, can be in the hope of the stator resistance reactance of equivalent generator, rotor resistance reactance, and excitatory reactance.

(3) calculate again equivalent machine initial launch slippage parameter aggregation

Weighted method can get the equivalent initial launch slippage of asynchronous generator polymerization parameter:

Obtained on the basis in the motor-driven attitude parameter of above-mentioned equivalence, take electric network Static Equivalent theory as the abbreviation instrument, a people having the same aspiration and interest wind-powered electricity generation group of planes and corresponding electrical wiring are carried out Approximate Equivalent, be reduced to the static equivalents that is connected to the grid with equivalent machine serial connection equiva lent impedance, wherein this programme has adopted a kind of wind energy turbine set Static Equivalent method, and following 2 hypothesis are done in the research of wind energy turbine set Static Equivalent, through investigation and reckoning, this hypothesis has rationality

Current amplitude and the phase place of supposing all wind-powered electricity generation units injection current collection circuits are equal,

Suppose because the compensation of Shunt Capacitor Unit or according to wind-powered electricity generation unit output convention, the power factor of wind-powered electricity generation unit is decided to be 1.

As shown in Figure 2, electric current I ₁The impedance Z of flowing through ₁Voltage reduce to:

${\mathrm{\&Delta;<figure-callout\; id="1"\; label="V\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}_Z=I_1{\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1=\left(\frac{S_1}{V}\right){\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1=\left(\frac{P_1}{V}\right){\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1$

P in the formula ₁For the meritorious of wind-powered electricity generation unit exerted oneself.

In like manner can derive Z ₂, Z ₃, Z ₄On voltage drop:

ΔV _Z2＝(I ₁+I ₂)Z ₂＝(P ₁/V+P ₂/V)Z ₂＝(P ₁+P ₂)Z ₂/V

ΔV _Z3＝(I ₁+I ₂+I ₃)Z ₃＝(P ₁/V+P ₂/V+P ₃/V)Z ₃＝(P ₁+P ₂+P ₃)Z ₃/V

ΔV _Z4＝(I ₁+I ₂+I ₃+I ₄)Z ₄＝(P ₁/V+P ₂/V+P ₃/V+P ₄/V)Z ₄＝(P ₁+P ₂+P ₃+P ₄)Z ₄/V

Definition P _Zi, represent the impedance Z of flowing through _iActive power, then the line loss of each section circuit can be derived as follows:

$S_{\mathrm{LOSS}\_{\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1}={\mathrm{\&Delta;<figure-callout\; id="1"\; label="V\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}_{Z_{}}*I_1^{*}=({\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1/V)({\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1^{*}/V^{*}){\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1={\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1^2{\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="1"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^1{\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

$S_{\mathrm{LOSS}\_{\mathrm{<figure-callout\; id="2"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_2}={\mathrm{\&Delta;<figure-callout\; id="2"\; label="V\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}_{Z_{}}*I_2^{*}={({\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1+P_2)}^2{\mathrm{<figure-callout\; id="2"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_2/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="2"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^2{\mathrm{<figure-callout\; id="2"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_2/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

$S_{\mathrm{LOSS}\_{\mathrm{<figure-callout\; id="3"\; label="Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_3}={\mathrm{\&Delta;<figure-callout\; id="3"\; label="V\; Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">V</figure-callout>}}_{Z_{}}*I_3^{*}={({\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1+{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_2+P_3)}^2{\mathrm{<figure-callout\; id="3"\; label="Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_3/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="3"\; label="P\; Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^3{\mathrm{<figure-callout\; id="3"\; label="Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_3/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

$S_{\mathrm{LOSS}\_{\mathrm{<figure-callout\; id="4"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">Z</figure-callout>}}_4}={\mathrm{\&Delta;<figure-callout\; id="4"\; label="V\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">V</figure-callout>}}_{Z_{}}*I_4^{*}={({\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1+{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_2+{\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_3+P_4)}^2{\mathrm{<figure-callout\; id="4"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">Z</figure-callout>}}_4/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="4"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^4{\mathrm{<figure-callout\; id="4"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">Z</figure-callout>}}_4/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

Therefore the total losses of this section current collection circuit are: $S_{\mathrm{LOSS}}=({\mathrm{<figure-callout\; id="1"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^1{\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1+{\mathrm{<figure-callout\; id="2"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^2{\mathrm{<figure-callout\; id="2"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_2+{\mathrm{<figure-callout\; id="3"\; label="P\; Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^3{\mathrm{<figure-callout\; id="3"\; label="Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_3+{\mathrm{<figure-callout\; id="4"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^4{Z}_4)/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

As shown in Figure 3, the Equivalent Model form of wind energy turbine set physical cabling.

Then have: $S_{\mathrm{LOSS}\_\mathrm{ZS}}={\mathrm{\&Delta;V}}_{\mathrm{ZS}}*I_S^{*}=I_S{Z}_S{I}_S^{*}={({\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1+{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_2+{\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_3+P_4)}^2{Z}_S/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="4"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^4{Z}_S/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

Therefore, S _LOSS=S _{LOSS_ZS}, that is: $({\mathrm{<figure-callout\; id="1"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^1{\mathrm{<figure-callout\; id="1"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_1+{\mathrm{<figure-callout\; id="2"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^2{\mathrm{<figure-callout\; id="2"\; label="Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_2+{\mathrm{<figure-callout\; id="3"\; label="P\; Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^3{\mathrm{<figure-callout\; id="3"\; label="Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_3+{\mathrm{<figure-callout\; id="4"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^4{Z}_4)/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="4"\; label="P\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_Z^4{Z}_S/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

So derived set electric line equivalent impedance is:

$Z_S=\frac{\underset{m=1}{\overset{n}{\mathrm{\&Sigma;}}}{P}_{\mathrm{Zm}}^2{Z}_{\mathrm{<figure-callout\; id="2"\; label="m\; Z\; Zn"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">m</figure-callout>}}}{Z_{\mathrm{Zn}}^{}}$

The equivalent shunt susceptance of current collection circuit is: $B=\underset{i=1}{\overset{n}{\mathrm{\&Sigma;}}}{B}_i$

As shown in Figure 4, each typhoon group of motors and unit in a disguised form connect in the wind energy turbine set, and the connection type of access set electric line, study its equivalence, and the equivalent thinking of its equivalent thinking and current collection line impedance is similar:

${\mathrm{<figure-callout\; id="1"\; label="S\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">S</figure-callout>}}_Z={\mathrm{\&Delta;V}}_{\mathrm{ZT}1}{I}_1^{*}={\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1^2{\mathrm{<figure-callout\; id="1"\; label="Z\; T"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

${\mathrm{<figure-callout\; id="2"\; label="S\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">S</figure-callout>}}_Z={\mathrm{\&Delta;V}}_{\mathrm{ZT}2}{I}_2^{*}={\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_2^2{\mathrm{<figure-callout\; id="2"\; label="Z\; T"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

${\mathrm{<figure-callout\; id="3"\; label="S\; Z"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">S</figure-callout>}}_Z={\mathrm{\&Delta;V}}_{\mathrm{ZT}3}{I}_3^{*}={\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_3^2{\mathrm{<figure-callout\; id="3"\; label="Z\; T"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

${\mathrm{<figure-callout\; id="4"\; label="S\; Z"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">S</figure-callout>}}_Z={\mathrm{\&Delta;V}}_{\mathrm{ZT}4}{I}_4^{*}={\mathrm{<figure-callout\; id="4"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_4^2{\mathrm{<figure-callout\; id="4"\; label="Z\; T"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

In the formula, S _Z1Be transformer T ₁Power attenuation; Z _T1Be transformer T ₁Impedance; P ₁For becoming T with the unit ₁The wind-powered electricity generation unit output that links to each other; The parameter-definition that all the other transformers are correlated with is with aforementioned.

As shown in Figure 4, the flow through loss S of transformer _ZSCan also be expressed as:

ΔV _ZTS＝{(P ₁+P ₂+P ₃+P ₄)/V}Z _TS＝{P _Tot/V}Z _TS

$S_{\mathrm{ZS}}={\mathrm{\&Delta;V}}_{\mathrm{ZTS}}{I}_S^{*}=P_{\mathrm{Tot}}^2{Z}_{\mathrm{TS}}/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

The equivalent form of wind energy turbine set transformer connection as shown in Figure 5, the loss of physical cabling and equivalent wiring equates, as can be known:

$P_{\mathrm{Tot}}^2{Z}_{\mathrm{TS}}/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2={\mathrm{<figure-callout\; id="1"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_1^2{\mathrm{<figure-callout\; id="1"\; label="Z\; T"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2+{\mathrm{<figure-callout\; id="2"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">P</figure-callout>}}_2^2{\mathrm{<figure-callout\; id="2"\; label="Z\; T"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2+{\mathrm{<figure-callout\; id="3"\; label="P"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">P</figure-callout>}}_3^2{\mathrm{<figure-callout\; id="3"\; label="Z\; T"\; filenames="H2009102380998E00021.png,H2009102380998E00023.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2+{\mathrm{<figure-callout\; id="4"\; label="P"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">P</figure-callout>}}_4^2{\mathrm{<figure-callout\; id="4"\; label="Z\; T"\; filenames="H2009102380998E00023.png,H2009102380998E00041.png"\; state="\{\{state\}\}">Z</figure-callout>}}_T/{\mathrm{<figure-callout\; id="2"\; label="V"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">V</figure-callout>}}^2$

So obtain the impedance of equivalent transformer be:

$Z_{\mathrm{TS}}=\frac{\underset{m=1}{\overset{n}{\mathrm{\&Sigma;}}}{P}_m^2{Z}_{\mathrm{Tm}}}{\underset{m=1}{\overset{\mathrm{<figure-callout\; id="2"\; label="n\; P\; m"\; filenames="H2009102380998E00023.png,H2009102380998E00042.png"\; state="\{\{state\}\}">n</figure-callout>}}{\mathrm{\&Sigma;}}}{P}_m^{}{}_2^{}}$

Realize the wind energy turbine set Equivalent Model in the PSD-BPA Platform Development, and with the above-mentioned various static state of calculating, dynamic equivalent numerical value input PSD-BPA emulation platform.PSD-BPA simulated program platform has two basic document, flow data file * .dat, stablize data file * .swi, be connected in series the form responding of equiva lent impedance with the equivalent machine that the electric network abbreviation obtains, in power flow files * .dat, the parameter that Static Equivalent is corresponding is filled up in the equivalent wind energy turbine set static parameter card; In transient state file * .swi, corresponding with dynamic parameter, electrical control parameter after the clustering of people having the same aspiration and interest wind turbine is closed, be filled up in the equivalent wind energy turbine set dynamic parameter card such as inertia time constant, stator reactance, rotor reactance, initial slippage and parameter meritorious, idle, low voltage crossing control correspondence, the form by filling in trend, transient state file parameters card in the PSD-BPA emulation platform integration realization wind energy turbine set Equivalent Model.

As shown in Figure 1, it is as follows to prove the rational concrete steps of the present invention:

1, based on the PSD-BPA simulation software, in * .dat and * .swi file, sets up the detailed static model of wind energy turbine set and dynamic model;

2, based on the PSD-BPA simulation software, in * .dat and * .swi file, set up wind energy turbine set Static and dynamic Equivalent Model;

3, set up the single system model that detailed wind energy turbine set model links to each other with infinite busbar; Set up the Complex System Models that detailed wind energy turbine set model links to each other with the northwest major network;

4, set up the single system model that the wind energy turbine set Equivalent Model links to each other with infinite busbar; Set up the Complex System Models that the wind energy turbine set Equivalent Model links to each other with the northwest major network;

5, based on the single system model, for static characteristics and dynamic perfromance, comparative analysis is wind farm grid-connected and equivalent wind farm grid-connected simulation result in detail;

6, based on Complex System Models, for static characteristics and dynamic perfromance, comparative analysis is wind farm grid-connected and equivalent wind farm grid-connected simulation result in detail;

7, according to the simulation comparison result, prove the rationality of wind energy turbine set Equivalent Model.

Embodiment 1: establishing the wind energy turbine set scale is 50, and rated power is 1.5MW, and gross rated capacity is 75MW, and wherein the asynchronous unit of constant speed is 25MW, the double-fed unit is 50MW, and constant power factor is under 1 control mode, and the wind energy turbine set Equivalent Model compares with detailed wind energy turbine set model access Infinite bus system:

This programme static characteristics analysis:

Shown in Fig. 6,7, with the wind energy turbine set Equivalent Model and in detail the wind energy turbine set model be linked into respectively Infinite bus system and Northwest Grid, carry out Static Power Flow and calculate and result of calculation is compared.The main static parameter of paying close attention to has: wind field main transformer low-pressure side SVC compensation capacity, the point voltage that is incorporated into the power networks, the circuit that is incorporated into the power networks meritorious and idle, and wind energy turbine set internal node voltages, by from 0MW to 75MW, change output of wind electric field every 15MW, the result of calculation that obtains is shown in table 1, table 2:

Equivalent Model and detailed wind energy turbine set model calculation of tidal current (access is infinitely great) when the different wind-powered electricity generations of table 1 are exerted oneself

Equivalent Model and detailed wind energy turbine set model calculation of tidal current (access northwest net) when the different wind-powered electricity generations of table 2 are exerted oneself

Such as Fig. 8,9,10, shown in 11, data relatively when being respectively the equivalent simulation result of this programme and actual wind energy turbine set access Northwest Grid, equivalent and the detailed wind energy turbine set model SVC compensation capacity contrast of wind energy turbine set when accompanying drawing 8 is exerted oneself for the wind-powered electricity generation difference, equivalent and the in detail also idle contrast in site of wind energy turbine set model of wind energy turbine set when accompanying drawing 9 is exerted oneself for the wind-powered electricity generation difference, accompanying drawing 10 is for after removing SVC, the also idle contrast in site of the equivalent and detailed wind energy turbine set model of wind energy turbine set when the wind-powered electricity generation difference is exerted oneself, the wind energy turbine set equivalence was gained merit with the also site of detailed wind energy turbine set model and is contrasted when accompanying drawing 11 was exerted oneself for the wind-powered electricity generation difference.

This programme dynamic analysis:

Fault type 1: the wind energy turbine set Equivalent Model of access Northwest Grid and detailed wind energy turbine set model and place, site three-phase shortcircuit (output of wind electric field of installation 75WM is 60MW).The result of calculation that obtains is shown in Figure 12,13,14, wherein accompanying drawing 12 is and the site three-phase shortcircuit, the meritorious variation contrast of the equivalent circuit that is incorporated into the power networks with detailed wind energy turbine set model of wind energy turbine set, accompanying drawing 13 is and the site three-phase shortcircuit, equivalent also site (PCC) change in voltage with detailed wind energy turbine set model of wind energy turbine set contrasts, accompanying drawing 14 is and the site three-phase shortcircuit that the equivalent safe and comfortable 1J generator's power and angle with detailed wind energy turbine set model of wind energy turbine set changes contrast, is Jingyuan 5J with reference to machine.

Fault type 2: wind energy turbine set Equivalent Model and detailed wind energy turbine set model access Northwest Grid, the west of a river are sent the good wine of electric channel-Jinchang section three-phase shortcircuit.Concrete outcome such as Figure 15,16,17, shown in 18, wherein accompanying drawing 15 is good wine-Jinchang three-phase shortcircuit, variation contrast that the equivalent circuit that is incorporated into the power networks with detailed wind energy turbine set model of wind energy turbine set is idle, accompanying drawing 16 is good wine-Jinchang three-phase shortcircuit, the meritorious variation contrast of the equivalent circuit that is incorporated into the power networks with detailed wind energy turbine set model of wind energy turbine set, accompanying drawing 17 is good wine-Jinchang three-phase shortcircuit, equivalent also site (PCC) the change in voltage situation with detailed wind energy turbine set model of wind energy turbine set contrasts, accompanying drawing 18 is good wine-Jinchang three-phase shortcircuit, the equivalent safe and comfortable 1J generator's power and angle with detailed wind energy turbine set model of wind energy turbine set changes contrast, is Jingyuan 5J with reference to machine.

Can draw the following conclusions by above comparative analysis:

(1) during Static Power Flow was analyzed, " wind energy turbine set detailed model " revealed certain difference with the also site external characteristic table of " Equivalent Model ", but in tolerance interval;

(2) during angle stability is analyzed, when wind energy turbine set access northwest net, respectively based on " wind energy turbine set detailed model " and " wind energy turbine set Equivalent Model ", research west of a river passage, northwest net element three are forever after the fault, power-angle curve in wind farm grid-connected some dynamic perfromance of comparative analysis and the northwest net, in transient stability simulation time scope, both be incorporated into the power networks point voltage, dynamic electric external characteristics and the major network merit angle Changing Pattern basic simlarities such as meritorious, idle after the emulation.

By above-mentioned analysis, verified the rationality of the wind energy turbine set Equivalent Model that this programme proposes.

Invention has been described according to specific exemplary embodiment herein.It will be apparent carrying out to one skilled in the art suitable replacement or revise under not departing from the scope of the present invention.Exemplary embodiment only is illustrative, rather than to the restriction of scope of the present invention.

Claims (2)

1. a large-scale wind power is concentrated the wind energy turbine set equivalent modeling method that accesses electrical network, it is characterized in that, based on topology distribution, the type of wind-powered electricity generation unit and the control model of wind-powered electricity generation unit of each wind-powered electricity generation unit in the electrical distance between each wind farm grid-connected point of access electrical network, the wind energy turbine set, carry out following steps:

A, employing Coherent Generator Group identification clustering method are determined the people having the same aspiration and interest wind-powered electricity generation group of planes of all wind-powered electricity generation units in the grid connected wind power field;

B, be a wind-powered electricity generation unit with a people having the same aspiration and interest wind-powered electricity generation group of planes equivalence, adopt weighting equivalent parameters polymerization to obtain the every dynamic electric parameter of equivalent wind-powered electricity generation unit;

C, according to electric network Static Equivalent theory a people having the same aspiration and interest wind-powered electricity generation group of planes and corresponding electrical wiring are carried out Approximate Equivalent, be reduced to the static equivalents that is connected to the grid with equivalent machine serial connection equiva lent impedance, and obtain relevant static parameter;

D, based on the equivalent form of the wind energy turbine set that obtains and corresponding dynamically, static parameter, exploitation realizes the wind energy turbine set Equivalent Model in the PSD-BPA emulation platform;

Described steps A Coherent Generator Group identification clustering method is:

(1), at first by wind energy turbine set and and the site between electrical distance divide a preliminary people having the same aspiration and interest wind-powered electricity generation group of planes;

(2), on the basis divided in upper step, according to wind turbine set type and wind-powered electricity generation unit electrical control pattern a preliminary people having the same aspiration and interest wind-powered electricity generation group of planes is divided again;

(3), on the basis divided in upper step, according to topological connection type in the wind energy turbine set people having the same aspiration and interest wind-powered electricity generation group of planes that obtains is divided again, obtain the heap sort of final people having the same aspiration and interest wind turbine;

The static equivalents that described step C is connected to the grid with equivalent machine serial connection equiva lent impedance, and the method for obtaining relevant static parameter is:

(1) at first establishing current amplitude and the phase place that all wind-powered electricity generation units inject the current collection circuits equates;

Secondly (2) according to the compensation of Shunt Capacitor Unit or according to wind-powered electricity generation unit output convention, the power factor of wind-powered electricity generation unit is decided to be 1;

(3) then carry out Static Equivalent, Static Equivalent may further comprise the steps:

1), the capacity of equivalent machine is each wind turbine pool-size sum of Coherent Generator Group;

2), obtain the loss of inner each the segmentation current collection circuit of a people having the same aspiration and interest wind-powered electricity generation group of planes, each minute loss value addition is obtained current collection circuit total losses;

3), obtain the loss of the equiva lent impedance of equivalent machine serial connection equiva lent impedance form;

4), utilize 2), 3) relation that two step gained loss values equate, derive current collection circuit equivalent impedance and equivalent shunt susceptance;

5), based on 2), 3) Computing Principle that above-mentioned current collection circuit equiva lent impedance consumes, utilize transformer active loss and the relation that the loss of equivalent wiring equates, release the impedance of equivalent transformer.

2. equivalent modeling method as claimed in claim 1, it is characterized in that, electric parameter among the described step B comprises: inertia time constant, ratio of damping, stator resistance/reactance, rotor resistance/reactance, excitatory reactance, initial launch slippage parameter and wind-powered electricity generation unit electric control system parameter, described electric parameter utilizes weighting equivalent parameters polymerization to ask for.

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