CN105429158B - The simplification constrained procedure of power swing is stabilized under a kind of Multiple Time Scales constraint - Google Patents

The simplification constrained procedure of power swing is stabilized under a kind of Multiple Time Scales constraint Download PDF

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Publication number
CN105429158B
CN105429158B CN201510939569.9A CN201510939569A CN105429158B CN 105429158 B CN105429158 B CN 105429158B CN 201510939569 A CN201510939569 A CN 201510939569A CN 105429158 B CN105429158 B CN 105429158B
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mrow
msub
power
time scales
power swing
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CN201510939569.9A
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CN105429158A (en
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江全元
刘文龙
汪海蛟
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浙江大学
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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
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • 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]
    • 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
    • H02J3/001Methods to deal with contingencies, e.g. abnormalities, faults or failures

Abstract

The simplification constrained procedure of power swing is stabilized under being constrained the invention discloses a kind of Multiple Time Scales.Problem is stabilized for Multiple Time Scales power swing, using a kind of Linear Mapping method, different time scales power swing index is mapped to same time scale successively, obtain the normalization fluctuation index of different time scales, take normalization fluctuation index in minimum value as the unique fluctuation index for stabilizing power swing optimal control, so reduce the amount of constraint for stabilizing power swing optimizing control models, realize the constraint simplification that power swing is stabilized under Multiple Time Scales constraint.

Description

The simplification constrained procedure of power swing is stabilized under a kind of Multiple Time Scales constraint
Technical field
The invention belongs to new energy control field, and in particular to the letter of power swing is stabilized under a kind of Multiple Time Scales constraint Change constrained procedure.
Background technology
Generation of electricity by new energy has obvious fluctuation and not known.Power swing scope is related to second level to differences such as hour levels Time scale scope, when wind-powered electricity generation large-scale grid connection, Different Effects are brought to power system security, operation and control.Therefore electricity Force system side can formulate Multiple Time Scales fluctuation index according to operation demand, to carrying out more times to new energy output-power fluctuation Dimensional constraints.But Multiple Time Scales fluctuation index does not contact directly each other, independently of each other, stabilizes power existing Fluctuation amount of constraint can be increased in fluctuation optimizing control models, model solution is complicated, is not easy to solve convergence, while solve the time It is long, it is unfavorable for controlling in real time.
The content of the invention
The purpose of the present invention is to stabilize power swing under constraining for Multiple Time Scales to provide a kind of simplified constrained procedure.The party Method proposes a kind of Linear Mapping method first, and different time scales fluctuation index is mapped into same time scale, calculates and returns After one change fluctuation index and then obtain uniquely fluctuating index, realize that Multiple Time Scales fluctuation constraint is reduced to single fluctuation constraint, Reduced so that stabilizing power swing optimizing control models and solving difficulty.
To realize the purpose of foregoing invention, scheme is used by the present invention solves its technical problem:
The simplification constrained procedure of power swing is stabilized under a kind of Multiple Time Scales constraint, gathers new energy power output and reading Joint power output is taken, calculates new energy power output change fluctuation tendency characterization value, and then calculate different time scales power Characterization value is fluctuated, index is fluctuated in the normalization for then obtaining different time scales fluctuation index in same time scale, finally asks The unique fluctuation index for stabilizing power swing must be used for, and be transferred to and stabilize power swing optimizing control models, realize more times Power swing under dimensional constraints is stabilized.
In order to reduce influence of the new energy output-power fluctuation to power system, Multiple Time Scales have been formulated in power system side Index is fluctuated, the Multiple Time Scales constraint of described power swing is:The Multiple Time Scales fluctuation that power system side is formulated refers to Mark, wherein time scale is followed successively by T from small to large ord1,T2,T3,...,Tn, it is corresponding fluctuation index be followed successively by λ12, λ3,...,λn, n is time scale number;
Described collection new energy power output and read joint power output and be specially:Gather current t new energy Power outputWith reading [t- (Tn- Δ T), t] joint power output historical data in the period, wherein Δ T is stabilizes power Fluctuate optimized algorithm and call the cycle;
Described calculating new energy power output changes fluctuation tendency characterization value:Because stabilizing power swing optimization control System is to be based on first-order filtering algorithm, so according to first-order filtering characteristic, calculates power swing variation tendency characterization value dP;
Described calculating different time scales power swing characterization value is specially:According to changed power fluctuation tendency characterization value DP, different time scales T is calculated respectively2,T3,...,TnPower swing characterization value
Described different time scales fluctuation index of obtaining is specially in the normalization fluctuation index of same time scale:Point Different time scales T is not calculated2,T3,...,TnFluctuate index and T1Mapping slope γ between time scale fluctuation index2, γ3,...,γn;Further calculate different time scales T2,T3,...,TnFluctuation index is mapped to T1Time scale is returned One changes fluctuation index λ2,d3,d,...,λn,d
Described trying to achieve be specially for the unique fluctuation index for stabilizing power swing:Take in above-mentioned normalization fluctuation index Minimum value is as unique fluctuation index λm
The calculation formula of described power swing variation tendency characterization value is as follows:
WhereinCombine power output for the t- Δ T moment.
The calculation formula of described power swing characterization value is as follows:
In formula,Respectively [t- (Ti- Δ T), t] period joint power output is most Big value and minimum value, Pn,ratedFor the rated power of generation of electricity by new energy,For the joint power output at k moment.
The calculation formula of described mapping slope is as follows:
γi1i, i=2,3 ..., n
The calculation formula of wherein normalization fluctuation index is as follows:
Wherein uniquely the calculation formula of fluctuation index is as follows:
λm=min { λ1,d2,d3,d,...,λn,d}。
The invention has the advantages that:The present invention uses a kind of Linear Mapping method first, obtains stabilizing power waves Dynamic unique fluctuation index.Both Multiple Time Scales ripple index had been met, and Multiple Time Scales constraint is reduced to single constraint, reduced The complexity of power swing optimizing control models is stabilized, improves its solving speed.Power system simultaneously is constrained power swing Time scale it is more, this method obtain effect it is more obvious.
Brief description of the drawings
Fig. 1 is the simplification constrained procedure technology figure that power swing is stabilized under Multiple Time Scales constraint.
Embodiment
The present invention is further elaborated and illustrated with reference to the accompanying drawings and examples.Each embodiment in the present invention Technical characteristic can carry out respective combination on the premise of not colliding with each other.
Combining power output in the present invention is:New energy power output and energy storage power output sum.
Stabilizing the simplification constrained procedure general principle of power swing under a kind of Multiple Time Scales constraint of the present invention is:Collection New energy power output and reading joint power output, calculate new energy power output change fluctuation tendency characterization value, Jin Erji Different time scales power swing characterization value is calculated, then obtains normalizing of the different time scales fluctuation index in same time scale Change fluctuation index, finally try to achieve and stabilize power swing optimization control for stabilizing unique fluctuation index of power swing, and being transferred to Simulation, realize that the power swing under Multiple Time Scales constraint is stabilized.Comprise the following steps that:
The Multiple Time Scales fluctuation index that power system side is formulated, wherein time scale are followed successively by from small to large ord T1,T2,T3,...,Tn, it is corresponding fluctuation index be followed successively by λ123,...,λn, n is time scale number;When gathering current t Carve new energy power outputWith reading [t- (Tn- Δ T), t] joint power output historical data in the period, wherein Δ T is Stabilize power swing optimized algorithm and call the cycle;It is to be based on first-order filtering algorithm because stabilizing power swing optimal control, so root According to first-order filtering characteristic, power swing variation tendency characterization value dP is calculated;Described power swing variation tendency characterization value Calculation formula is as follows:
WhereinCombine power output for the t- Δ T moment.
According to changed power fluctuation tendency characterization value dP, different time scales T is calculated respectively2,T3,...,TnPower Fluctuate characterization valueThe calculation formula of described power swing characterization value is as follows:
In formula,Respectively [t- (Ti- Δ T), t] period joint power output maximum Value and minimum value, Pn,ratedFor the rated power of generation of electricity by new energy,For the joint power output at k moment.
Different time scales T is calculated respectively2,T3,...,TnFluctuate index and T1Reflecting between time scale fluctuation index Penetrate slope γ23,...,γn;The calculation formula of described mapping slope is as follows:
γi1i, i=2,3 ..., n
Further calculate different time scales T2,T3,...,TnFluctuation index is mapped to T1The normalization of time scale Fluctuate index λ2,d3,d,...,λn,d;The calculation formula of wherein normalization fluctuation index is as follows:
Minimum value in above-mentioned normalization fluctuation index is taken to fluctuate index λ as uniquem, λm=min { λ1,d2,d, λ3,d,...,λn,d}.By λmAnd be transferred to and stabilize power swing optimizing control models, realize the power under Multiple Time Scales constraint Fluctuation is stabilized.
Embodiment
The present invention is specifically described method of the invention by taking wind-powered electricity generation as an example below.
Fig. 1 presents application flow of the present invention in wind power fluctuation optimal control is stabilized.In embodiment, Power system side proposes the fluctuation constraint of three time scales to wind power fluctuation, time scale by order from small to large according to Secondary is 1 minute, and 5 minutes, 30 minutes, corresponding fluctuation index was 2%, 5%, 10%.
From the wind power 0.6P at 3600 seconds wind power's supervision system acquisition current timesn,ratedRead with from database Combine power output 0.58P at 3595 secondsn,rated, wherein it is 5 seconds to stabilize the fluctuation optimized algorithm cycle.Wind power can be calculated It is 1 to change fluctuation tendency characterization value.The joint power output from 1805 seconds to 3600 second in the period is read from database, wherein It is 0.59P to combine power output at 3600 secondsn,rated, 3305 seconds to 3600 seconds, the minimum joint of 1805 seconds to 3600 second periods Power output is followed successively by 0.57Pn,rated、0.54Pn,rated, then obtain 5 minutes, 30 minutes wind powers fluctuation characterization value successively For 2%, 5%.Then 5 minutes are calculated, 30 minutes fluctuation indexs are mapped to the mapping slope of 1 minutes yardstick and are followed successively by 0.4、0.2.And then can obtain 5 minutes, 30 minutes fluctuation index be mapped to 1 minutes yardstick normalization fluctuation index successively For 1.2%, 1%.Finally, minimum value i.e. 1% in normalization fluctuation index is taken as unique fluctuation index, to be transferred to and stabilize wind-powered electricity generation Power swing optimizing control models.
Although present disclosure is discussed in detail by above preferred embodiment, but it should be appreciated that above-mentioned Description is not considered as limitation of the present invention.After those skilled in the art have read the above, for the present invention's A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.

Claims (4)

1. the simplification constrained procedure of power swing is stabilized under a kind of Multiple Time Scales constraint, it is characterised in that collection new energy is defeated Go out power and read joint power output, when calculating new energy power output change fluctuation tendency characterization value, and then calculating different Between yardstick power swing characterization value, then obtain different time scales fluctuation index same time scale normalization fluctuation refer to Mark, is finally tried to achieve for stabilizing unique fluctuation index of power swing, and is transferred to and is stabilized power swing optimizing control models, real Power swing under existing Multiple Time Scales constraint is stabilized;
The Multiple Time Scales of described power swing are constrained to:The Multiple Time Scales fluctuation index that power system side is formulated, wherein Time scale is followed successively by T from small to large ord1,T2,T3,...,Tn, it is corresponding fluctuation index be followed successively by λ123,...,λn, N is time scale number;
Described collection new energy power output and read joint power output and be specially:Gather current t new energy output PowerWith reading [t- (Tn- Δ T), t] joint power output historical data in the period, wherein Δ T is stabilizes power swing Optimized algorithm calls the cycle;
Described calculating new energy power output changes fluctuation tendency characterization value:It is because stabilizing power swing optimal control Based on first-order filtering algorithm, so according to first-order filtering characteristic, power swing variation tendency characterization value dP is calculated;
Described calculating different time scales power swing characterization value is specially:According to changed power fluctuation tendency characterization value dP, Different time scales T is calculated respectively2,T3,...,TnPower swing characterization value
Described different time scales fluctuation index of obtaining is specially in the normalization fluctuation index of same time scale:Count respectively Calculate different time scales T2,T3,...,TnFluctuate index and T1Mapping slope γ between time scale fluctuation index2, γ3,...,γn;Further calculate different time scales T2,T3,...,TnFluctuation index is mapped to T1Time scale is returned One changes fluctuation index λ2,d3,d,...,λn,d
Described trying to achieve be specially for the unique fluctuation index for stabilizing power swing:Take minimum in above-mentioned normalization fluctuation index Value is as unique fluctuation index λm
2. the simplification constrained procedure of power swing is stabilized under Multiple Time Scales constraint as claimed in claim 1, it is characterised in that: The calculation formula of described power swing variation tendency characterization value is as follows:
WhereinCombine power output for the t- Δ T moment.
3. the simplification constrained procedure of power swing is stabilized under Multiple Time Scales constraint as claimed in claim 1, it is characterised in that: The calculation formula of described power swing characterization value is as follows:
<mrow> <msub> <mi>dP</mi> <mrow> <mi>o</mi> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mrow> <mo>(</mo> <mrow> <munder> <mi>max</mi> <mrow> <mi>k</mi> <mo>&amp;Element;</mo> <mo>&amp;lsqb;</mo> <mi>t</mi> <mo>-</mo> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>-</mo> <mi>&amp;Delta;</mi> <mi>T</mi> <mo>)</mo> </mrow> <mo>,</mo> <mi>t</mi> <mo>&amp;rsqb;</mo> </mrow> </munder> <msubsup> <mi>P</mi> <mi>o</mi> <mi>k</mi> </msubsup> <mo>-</mo> <msubsup> <mi>P</mi> <mi>o</mi> <mi>t</mi> </msubsup> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <msub> <mi>P</mi> <mrow> <mi>n</mi> <mo>,</mo> <mi>r</mi> <mi>a</mi> <mi>t</mi> <mi>e</mi> <mi>d</mi> </mrow> </msub> <mo>,</mo> <mi>d</mi> <mi>P</mi> <mo>=</mo> <mo>-</mo> <mn>1</mn> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mrow> <mo>(</mo> <mrow> <msubsup> <mi>P</mi> <mi>o</mi> <mi>t</mi> </msubsup> <mo>-</mo> <munder> <mi>min</mi> <mrow> <mi>i</mi> <mo>&amp;Element;</mo> <mo>&amp;lsqb;</mo> <mi>t</mi> <mo>-</mo> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> <mo>-</mo> <mi>&amp;Delta;</mi> <mi>T</mi> <mo>)</mo> </mrow> <mo>,</mo> <mi>t</mi> <mo>&amp;rsqb;</mo> </mrow> </munder> <msubsup> <mi>P</mi> <mi>o</mi> <mi>k</mi> </msubsup> </mrow> <mo>)</mo> </mrow> <mo>/</mo> <msub> <mi>P</mi> <mrow> <mi>n</mi> <mo>,</mo> <mi>r</mi> <mi>a</mi> <mi>t</mi> <mi>e</mi> <mi>d</mi> </mrow> </msub> <mo>,</mo> <mi>d</mi> <mi>P</mi> <mo>=</mo> <mn>1</mn> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> <mi>i</mi> <mo>=</mo> <mn>2</mn> <mo>,</mo> <mn>3</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> <mo>,</mo> </mrow>
In formula,Respectively [t- (Ti- Δ T), t] period joint power output maximum and Minimum value, Pn,ratedFor the rated power of generation of electricity by new energy,For the joint power output at k moment.
4. the simplification constrained procedure of power swing is stabilized under Multiple Time Scales constraint as claimed in claim 1, it is characterised in that: The calculation formula of described mapping slope is as follows:
γi1i, i=2,3 ..., n
The calculation formula of wherein normalization fluctuation index is as follows:
<mrow> <msub> <mi>&amp;lambda;</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>d</mi> </mrow> </msub> <mo>=</mo> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <mo>-</mo> <msub> <mi>&amp;gamma;</mi> <mi>i</mi> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>dP</mi> <mrow> <mi>o</mi> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> </mrow> </msub> <mo>+</mo> <msub> <mi>&amp;lambda;</mi> <mn>1</mn> </msub> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <mn>0</mn> <mo>&amp;le;</mo> <msub> <mi>dP</mi> <mrow> <mi>o</mi> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> </mrow> </msub> <mo>&amp;le;</mo> <msub> <mi>&amp;lambda;</mi> <mi>i</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <mn>0</mn> <mo>,</mo> </mrow> </mtd> <mtd> <mrow> <msub> <mi>dP</mi> <mrow> <mi>o</mi> <mo>,</mo> <msub> <mi>T</mi> <mi>i</mi> </msub> </mrow> </msub> <mo>&gt;</mo> <msub> <mi>&amp;lambda;</mi> <mi>i</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>,</mo> <mi>i</mi> <mo>=</mo> <mn>2</mn> <mo>,</mo> <mn>3</mn> <mo>,</mo> <mo>...</mo> <mo>,</mo> <mi>n</mi> </mrow>
Wherein uniquely the calculation formula of fluctuation index is as follows:
λm=min { λ1,d2,d3,d,...,λn,d}。
CN201510939569.9A 2015-12-15 2015-12-15 The simplification constrained procedure of power swing is stabilized under a kind of Multiple Time Scales constraint CN105429158B (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102184475A (en) * 2011-05-11 2011-09-14 浙江大学 Optimizing and dispatching method for microgrid economical operation on basis of multiple time scale coordination
CN102377248A (en) * 2011-10-10 2012-03-14 南方电网科学研究院有限责任公司 Method for optimizing capacity of energy storage system in case of fluctuation of smooth and renewable energy sources electricity generation output
CN103427444A (en) * 2013-05-16 2013-12-04 新疆大学 Control method for reducing wind power grid-connected scheduling plan error
CN104410092A (en) * 2014-12-08 2015-03-11 国网新疆电力公司经济技术研究院 Energy coordinated optimization method for multi-element complementary new energy power generating system
CN104659801A (en) * 2015-03-19 2015-05-27 国家电网公司 Method for acquiring motor with smooth power

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102184475A (en) * 2011-05-11 2011-09-14 浙江大学 Optimizing and dispatching method for microgrid economical operation on basis of multiple time scale coordination
CN102377248A (en) * 2011-10-10 2012-03-14 南方电网科学研究院有限责任公司 Method for optimizing capacity of energy storage system in case of fluctuation of smooth and renewable energy sources electricity generation output
CN103427444A (en) * 2013-05-16 2013-12-04 新疆大学 Control method for reducing wind power grid-connected scheduling plan error
CN104410092A (en) * 2014-12-08 2015-03-11 国网新疆电力公司经济技术研究院 Energy coordinated optimization method for multi-element complementary new energy power generating system
CN104659801A (en) * 2015-03-19 2015-05-27 国家电网公司 Method for acquiring motor with smooth power

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