CN107154624A - A kind of appraisal procedure of wind power plant Equivalent Model accuracy - Google Patents

A kind of appraisal procedure of wind power plant Equivalent Model accuracy Download PDF

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CN107154624A
CN107154624A CN201710280318.3A CN201710280318A CN107154624A CN 107154624 A CN107154624 A CN 107154624A CN 201710280318 A CN201710280318 A CN 201710280318A CN 107154624 A CN107154624 A CN 107154624A
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mrow
msub
power plant
wind power
sequence
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薛安成
赵成爽
王煜晗
丁国强
耿继瑜
刘瑞煌
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North China Electric Power University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
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    • G06Q50/06Electricity, gas or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
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    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

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Abstract

The invention discloses a kind of appraisal procedure of wind power plant Equivalent Model accuracy, first according to the failure situation of wind power plant, different equivalence point groups are carried out to wind power plant, and obtain the active and reactive output data before and after equivalent point of group;Based on the active and reactive output data before and after the equivalence obtained point group, wind power plant equivalence is built and touches progress trajectory error assessment;Based on the active and reactive output data before and after the equivalence obtained point group, trend error evaluation is carried out to wind power plant Equivalent Model;Assessed in conjunction with trajectory error and the result of trend error evaluation carries out accuracy comprehensive assessment.The above method can assess the accuracy of different group of planes equivalence methods during different faults degree, and evaluation process is more comprehensive and accurate.

Description

A kind of appraisal procedure of wind power plant Equivalent Model accuracy
Technical field
The present invention relates to wind power plant studying technological domain, more particularly to a kind of assessment side of wind power plant Equivalent Model accuracy Method.
Background technology
The characteristics of wind energy has intermittent and randomness, with installed capacity of wind-driven power in power system it is infiltrative by It is cumulative plus, its influence to power system is more and more obvious, mainly there is the following aspects:Influence the small interference of power system steady It is qualitative;Influence the transient stability of power system;Influence voltage stability;Influence frequency stability.In order to further investigate wind-powered electricity generation The influence to whole power network is permeated, it is necessary to which operation characteristic during to Large Scale Wind Farm Integration access system carries out equivalent modeling.
In order to select optimal Equivalent Model, then need to be estimated the accuracy of Equivalent Model.And existing assessment Method is mainly based upon trajectory error and is estimated, and commonly uses the form of variance, standard deviation or relative error to characterize, but uses The point that trajectory error is difficult to overcome some errors larger will cause total evaluation to deviate reality.
The content of the invention
It is an object of the invention to provide a kind of appraisal procedure of wind power plant Equivalent Model accuracy, this method can be assessed not The accuracy of different group of planes equivalence methods during with fault degree, evaluation process is more comprehensive and accurate.
A kind of appraisal procedure of wind power plant Equivalent Model accuracy, methods described includes:
Step 1, the failure situation according to wind power plant, different equivalence point groups are carried out to wind power plant, and obtain equivalent point of group Front and rear active and reactive output data;
Step 2, based on the active and reactive output data before and after the equivalence obtained point group, wind power plant equivalence is built touch into Row trajectory error is assessed;
Step 3, the active and reactive output data divided based on the equivalence obtained before and after group, are entered to wind power plant Equivalent Model Row trend error evaluation;
Step 4, the result with reference to trajectory error assessment and trend error evaluation carry out accuracy comprehensive assessment.
In the step 2, it is described wind power plant equivalence is built touch carry out trajectory error assessment process be specially:
Bring the active and reactive output data before and after the equivalence obtained point group into equation below:
Try to achieve active and reactive trajectory error assessment result;
In above formula, D is the distance between measurement point;X=(x1, x2 ..., xn) and Y=(y1, y2 ..., yn) is respectively detailed The output sequence of model and the output sequence of Equivalent Simplification model;N is the total quantity of element in output sequence.
In the step 3, the process to wind power plant Equivalent Model progress trend error evaluation is specially:
Standardization processing is carried out to the sequence for carrying out trend error evaluation first with specification Y-factor method Y, to eliminate sequence ratio Compared with when numerical value difference caused by influence, specifically utilize equation below:
In above formula, xmax、xminMaximum, least member respectively in sequence X;After being converted to sequence X standardization processing SequenceElement value, it is interval that it belongs to [- 1,1];
Then two sequence X=(x1, x2 ..., xn) and Y=(y1, y2 ..., yn) are directed to, X and Y are respectively detailed model Output sequence and Equivalent Simplification model output sequence, if forε is the similar threshold value of setting, then sentences Two sequences of breaking are similar;
It is specific using public again with the element number of similar sub-sequence and the ratio of overall element number as similarity measurement Formula:
It is used as active and reactive trend error evaluation result.
In the step 4, the combination trajectory error is assessed and the result of trend error evaluation carries out accuracy synthesis The process of assessment is specially:
Bring trajectory error assessment result and trend error evaluation result into equation below:
S (X, Y)=α SD (X, Y)+(1- α) ST (X, Y)
To obtain accuracy comprehensive assessment result S (X, Y);
In above formula, SD(X, Y)=D (X, Y), α are the weight coefficient of setting.
As seen from the above technical solution provided by the invention, the above method can be assessed different during different faults degree The accuracy of group of planes equivalence method, evaluation process is more comprehensive and accurate.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, being used required in being described below to embodiment Accompanying drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this For the those of ordinary skill in field, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings Accompanying drawing.
Fig. 1 is provided the appraisal procedure schematic flow sheet of wind power plant Equivalent Model accuracy by the embodiment of the present invention;
The DFIG windfarm system overall schematics that Fig. 2 is 48MW in example of the present invention;
Fig. 3 is the equivalent system schematic of four machines of example wind power plant of the present invention;
Fig. 4 is the equivalent system schematic of the machine of wind power plant two in example of the present invention;
Fig. 5 is the equivalent system schematic of the machine of wind power plant three in example of the present invention;
Active power curves schematic diagrames of the Fig. 6 for three kinds of Equivalent Models in example of the present invention before and after equivalent;
Reactive capability curve schematic diagrames of the Fig. 7 for three kinds of Equivalent Models in example of the present invention before and after equivalent.
Embodiment
With reference to the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Ground is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Based on this The embodiment of invention, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to protection scope of the present invention.
The embodiment of the present invention is described in further detail below in conjunction with accompanying drawing, is as shown in Figure 1 present invention implementation Example provides the appraisal procedure schematic flow sheet of wind power plant Equivalent Model accuracy, and methods described includes:
Step 1, the failure situation according to wind power plant, different equivalence point groups are carried out to wind power plant, and obtain equivalent point of group Front and rear active and reactive output data;
Step 2, based on the active and reactive output data before and after the equivalence obtained point group, wind power plant equivalence is built touch into Row trajectory error is assessed;
In the step 2, the method for use is to amplify out relative error method by Manhattan distance method, and then asks for average, Specifically calculating process is:
Bring the active and reactive output data before and after the equivalence obtained point group into equation below:
Active and reactive trajectory error assessment result is tried to achieve respectively;
In above formula, D is the distance between measurement point;X=(x1, x2 ..., xn) and Y=(y1, y2 ..., yn) is respectively detailed The output sequence of model and the output sequence of Equivalent Simplification model;N is the total quantity of element in output sequence.
In the specific implementation, ask for an average of error has very big difference with asking for the multiple root-mean-square value of error in result Different, the difference of especially active output is very big, but due to being readily apparent to equivalent result and detailed model from simulation comparison figure Error be not above 1, therefore an average from relative error on Numerical evaluation more tallies with the actual situation.
Step 3, the active and reactive output data divided based on the equivalence obtained before and after group, are entered to wind power plant Equivalent Model Row trend error evaluation;
In the step 3, trend evaluation is the algorithm for seeking shape similarity, it is considered to the limitation of algorithms of different, similar Property and complexity, the present embodiment emphasis considers specification Y-factor method Y, and this method calculating process is relatively easy, can elimination of level it is inclined Move, amplitude is flexible and influence of partial noise, and then effectively assess the trend similitude of two sequences.
It is above-mentioned to wind power plant Equivalent Model carry out trend error evaluation process be specially:
Standardization processing is carried out to the sequence for carrying out trend error evaluation first with specification Y-factor method Y, to eliminate sequence ratio Compared with when numerical value difference caused by influence, specifically utilize equation below:
In above formula, xmax、xminMaximum, least member respectively in sequence X;To be converted to sequence X standardization processing Sequence afterwardsElement value, it is interval that it belongs to [- 1,1];
Then two sequence X=(x1, x2 ..., xn) and Y=(y1, y2 ..., yn) are directed to, X and Y are respectively detailed model Output sequence and Equivalent Simplification model output sequence, if forε is the similar threshold of setting
Value, then judge that two sequences are similar;
It is specific using public again with the element number of similar sub-sequence and the ratio of overall element number as similarity measurement Formula:
It is used as active and reactive trend error evaluation result.
In the specific implementation, above-mentioned similar threshold value ε could be arranged to 0.5%.
Step 4, the result with reference to trajectory error assessment and trend error evaluation carry out accuracy comprehensive assessment.
In the step 4, for the accuracy of equivalent result, the degree of closeness and dynamic for considering numerical value become The similitude of change trend could more comprehensively evaluate the accuracy of equivalent result, assessed here in conjunction with trajectory error and trend is missed Difference assess result carry out accuracy comprehensive assessment process be specially:
Bring trajectory error assessment result and trend error evaluation result into equation below:
S (X, Y)=α SD(X,Y)+(1-α)ST(X,Y)
To obtain accuracy comprehensive assessment result S (X, Y);
In above formula, SD(X, Y)=D (X, Y), α are the weight coefficient of setting, and α can be arranged to 0.3, one in this example As for, α numerical value is bigger, illustrates that numerical Evaluation proportion shared in overall merit is bigger;On the contrary, then Evaluation of The Tendency is comprehensive Close proportion shared in evaluating bigger.
The method of the invention is proved with specific example below, the embodiment is built using DIgSILENT One 48MW wind power plant, is divided into four Wind turbines strings by 48MW wind power plant, every group 8, is illustrated in figure 2 the present invention 48MW DFIG windfarm system overall schematics in example.
In this example, it is 0.75 Ω to set grounding resistance resistance, and now the Wind turbines of Crowbar device actions are 1- 6,9-10,17-22 and 25-26.Crowbar devices are failure to actuate unit for 7-8,11-16,23-24 and 27-32, generator terminal during failure Voltage is shown in table 1 below:
The Crowbar devices of table 1 are failure to actuate the false voltage of unit
As shown in Table 1, Crowbar devices be failure to actuate unit set end voltage be in active power amplitude limit category it It is interior, therefore can be equivalent to by the power source model under the influence of active power limiting.
2 four Wind turbines wind speed tables of comparisons of table
If wind speed and crowbar action situation are considered comprehensively, wind power plant can be divided into four crowds, i.e. 1-6 and 17-22, 7-8 and 23-24,9-10 and 25-26,11-16 and 27-32, four machines for being illustrated in figure 3 example wind power plant of the present invention are equivalent System schematic.In order to further investigate the validity that four machines are equivalent, two machines are contrasted, three machine Equivalent Models are analyzed, such as Fig. 4 The equivalent system schematic of the machine of wind power plant two is shown, i.e., wind power plant is only divided into two groups by wind speed and situation, as shown in Figure 5 For the equivalent system schematic of the machine of wind power plant three, wind power plant is first first divided into two groups according to Crowbar device actions situation, then will Crowbar devices unit of being failure to actuate falls situation by set end voltage and further divided.
The wind power output situation in the case of three kinds of equivalences is further obtained, three kinds of Equivalent Models are illustrated in figure 6 Active power curves schematic diagram before and after equivalence, the reactive capability curve signal before and after three kinds of Equivalent Models as shown in Figure 7 are equivalent Figure, from Fig. 6 and 7:The equivalent active power output of four machines has notable difference compared with detailed model during failure, and three machines are equivalent When difference it is maximum.Four machines are equivalent and the equivalent active output in failure of three machines is respectively less than detailed model situation, and two machines are equivalent Active output is more than detailed model situation during failure.For reactive power, four machines equivalence result and detailed model, three machines are equivalent And two machine equivalent time result it is close.Therefore can not any Equivalent Model of accurate discrimination there is more preferable accuracy.
The degree of accuracy comprehensive estimation method now just provided using the embodiment of the present invention is judged, such as table 3 below institute Show:
The accuracy evaluation result of the Equivalent Model of table 3 and detailed model
As shown in Table 3:Under the failure situations, the accuracy of three machines equivalence result is worst, also demonstrates Crowbar directly Device action and unit of being failure to actuate are mixed as the equivalent worthless conclusion of one group of progress, and two machines equivalence ignores the shadow of positional factor Ring and equivalent asynchronous machine model unit and active amplitude limit type power source model are distinguished equivalent, from the point of view of accuracy evaluation, this kind Equivalence method is with considering that the equivalent situation of four machines after positional factor has higher accuracy.
In summary, the appraisal procedure that the embodiment of the present invention is provided can assess different group of planes etc. during different faults degree The accuracy of value method, evaluation process is more comprehensive and accurate.
The foregoing is only a preferred embodiment of the present invention, but protection scope of the present invention be not limited thereto, Any one skilled in the art is in the technical scope of present disclosure, the change or replacement that can be readily occurred in, It should all be included within the scope of the present invention.Therefore, protection scope of the present invention should be with the protection model of claims Enclose and be defined.

Claims (4)

1. a kind of appraisal procedure of wind power plant Equivalent Model accuracy, it is characterised in that methods described includes:
Step 1, the failure situation according to wind power plant, different equivalence point groups are carried out to wind power plant, and obtain equivalent divide before and after group Active and reactive output data;
Step 2, the active and reactive output data divided based on the equivalence obtained before and after group, are built to wind power plant equivalence and touch carry out rail Mark error evaluation;
Step 3, the active and reactive output data divided based on the equivalence obtained before and after group, are become to wind power plant Equivalent Model Gesture error evaluation;
Step 4, the result with reference to trajectory error assessment and trend error evaluation carry out accuracy comprehensive assessment.
2. the appraisal procedure of wind power plant Equivalent Model accuracy according to claim 1, it is characterised in that in the step 2 In, it is described wind power plant equivalence is built touch carry out trajectory error assessment process be specially:
Bring the active and reactive output data before and after the equivalence obtained point group into equation below:
<mrow> <mi>D</mi> <mrow> <mo>(</mo> <mi>X</mi> <mo>,</mo> <mi>Y</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mi>n</mi> </mfrac> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <mo>|</mo> <mfrac> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <msub> <mi>y</mi> <mi>i</mi> </msub> </mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> </mfrac> <mo>|</mo> <mo>;</mo> </mrow>
Try to achieve active and reactive trajectory error assessment result;
In above formula, D is the distance between measurement point;X=(x1, x2 ..., xn) and Y=(y1, y2 ..., yn) is respectively detailed model Output sequence and Equivalent Simplification model output sequence;N is the total quantity of element in output sequence.
3. the appraisal procedure of wind power plant Equivalent Model accuracy according to claim 1, it is characterised in that in the step 3 In, the process to wind power plant Equivalent Model progress trend error evaluation is specially:
Standardization processing is carried out to the sequence for carrying out trend error evaluation first with specification Y-factor method Y, when comparing to eliminate sequence Influence caused by numerical value difference, specifically utilizes equation below:
<mrow> <msub> <mover> <mi>x</mi> <mo>&amp;OverBar;</mo> </mover> <mi>i</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>-</mo> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>+</mo> <msub> <mi>x</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>)</mo> </mrow> <mo>/</mo> <mn>2</mn> </mrow> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>x</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> </mrow> </msub> <mo>)</mo> <mo>/</mo> <mn>2</mn> </mrow> </mfrac> </mrow>
In above formula, xmax、xminMaximum, least member respectively in sequence X;For sequence after being converted to sequence X standardization processingElement value, it is interval that it belongs to [- 1,1];
Then it is respectively the defeated of detailed model for two sequence X=(x1, x2 ..., xn) and Y=(y1, y2 ..., yn), X and Y Go out the output sequence of sequence and Equivalent Simplification model, if forε is the similar threshold value of setting, then judging should Two sequences are similar;
Again with the element number of similar sub-sequence and the ratio of overall element number as similarity measurement, specifically using formula:
<mrow> <msub> <mi>S</mi> <mi>T</mi> </msub> <mrow> <mo>(</mo> <mi>X</mi> <mo>,</mo> <mi>Y</mi> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>n</mi> </munderover> <mo>&amp;lsqb;</mo> <mi>n</mi> <mrow> <mo>(</mo> <msub> <mi>x</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> <mi>n</mi> <mrow> <mo>(</mo> <msub> <mi>y</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>&amp;rsqb;</mo> </mrow> <mrow> <mi>n</mi> <mrow> <mo>(</mo> <mi>X</mi> <mo>)</mo> </mrow> <mo>+</mo> <mi>n</mi> <mrow> <mo>(</mo> <mi>Y</mi> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>&amp;times;</mo> <mn>100</mn> <mi>%</mi> </mrow>
It is used as active and reactive trend error evaluation result.
4. the appraisal procedure of wind power plant Equivalent Model accuracy according to claim 1, it is characterised in that in the step 4 In, the process of the result progress accuracy comprehensive assessment of the combination trajectory error assessment and trend error evaluation is specially:
Bring trajectory error assessment result and trend error evaluation result into equation below:
S (X, Y)=α SD(X,Y)+(1-α)ST(X,Y)
To obtain accuracy comprehensive assessment result S (X, Y);
In above formula, SD(X, Y)=D (X, Y), α are the weight coefficient of setting.
CN201710280318.3A 2017-04-25 2017-04-25 A kind of appraisal procedure of wind power plant Equivalent Model accuracy Pending CN107154624A (en)

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CN108964122A (en) * 2018-07-16 2018-12-07 中国电力科学研究院有限公司 A kind of verification method and device of Wind turbines electrical model frequency response characteristic
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CN110943485B (en) * 2019-12-22 2022-03-22 东北电力大学 Index evaluation method for simulation reliability of equivalent model of doubly-fed wind power plant
CN116663297A (en) * 2023-06-02 2023-08-29 四川大学 Double-fed wind power plant universal equivalence method considering hardware cooperative protection transient characteristics
CN116663297B (en) * 2023-06-02 2024-01-30 四川大学 Double-fed wind power plant universal equivalence method considering hardware cooperative protection transient characteristics

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Application publication date: 20170912