CN107749631A - Unit Primary frequency control ability predictor method - Google Patents
Unit Primary frequency control ability predictor method Download PDFInfo
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- CN107749631A CN107749631A CN201711008302.3A CN201711008302A CN107749631A CN 107749631 A CN107749631 A CN 107749631A CN 201711008302 A CN201711008302 A CN 201711008302A CN 107749631 A CN107749631 A CN 107749631A
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- Prior art keywords
- primary frequency
- unit
- frequency modulation
- control ability
- mrow
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention discloses a kind of unit Primary frequency control ability predictor method, comprise the following steps：Using unit history primary frequency modulation analysis result as Sample Storehouse, temporally dimension and frequency difference dimension distribution weight coefficient, and the weighted statistical integrated with this to unit primary frequency modulation output contribution index history value merges, finally give and specify the unit primary frequency modulation of anticipation frequency difference to estimate output contribution amount, realize and unit Primary frequency control ability is estimated.The unit primary frequency modulation capacity in the case of given frequency difference is estimated using unit primary frequency modulation historical analysis result present invention can be implemented in line, makes up the deficiency for lacking on unit Primary frequency control ability assessment technology means are estimated to unit Primary frequency control ability at present；And the present invention can on-line operation, convenience of calculation, without particular/special requirement limit, reference can be provided to estimate unit Primary frequency control ability.
Description
Technical field
The present invention relates to a kind of unit Primary frequency control ability predictor method, belong to electric power network technique field.
Background technology
The faults itself of system for ultra-high voltage transmission can cause power network to lose large power supply suddenly, mains frequency be produced huge
Large impact, or even threaten power grid security.In theory, when mains frequency is undergone mutation, possesses the generator of primary frequency function
Group should be able to make a response rapidly, effectively suppress the fluctuating range of mains frequency, shorten the transit time of fluctuation, immediate stability dynamic
During mains frequency.And in ten seconds level periods after a failure, from the point of view of mains side, mains frequency can uniquely be carried out
The primary frequency function of the only generating set of effective prevention.Therefore, the ability of high-power disturbance is resisted to strengthen power network, is reduced
Large power supply loses the amplitude that rear mains frequency drops suddenly, improves frequency quality of power grid, ensures electric power netting safe running, gives full play to
The primary frequency function of generating set is most important, and rational estimate is carried out to unit Primary frequency control ability to be preferably
Power network should be evaluated the regulating power of accident, and the reply for carrying out fm capacity deficiency in advance prepares, and helps to ensure power network
Safe and stable operation.
At present, operations staff is more and more concerned about occur larger system frequency deviation feelings in power network in actual motion
Under condition, whether the Primary frequency control ability of unit disclosure satisfy that the needs of regulation, and be estimated by unit Primary frequency control ability
Operations staff can be helped more to have a clear understanding of the Primary frequency control ability of power network.But existing unit Primary frequency control ability is commented at present
Estimate and still lack effective Primary frequency control ability predictor method in technology, and PMU (synchronous phasor measuring device) data due to
High sampling precision (Millisecond) and strict correct time mark feature, are more precisely to calculate and estimate unit given
Primary frequency control ability under anticipation frequency difference provides new data and technological means, can make up the deficiency of current technology methods.
The content of the invention
It is an object of the invention to overcome deficiency of the prior art, there is provided a kind of unit Primary frequency control ability side of estimating
Method, it can simply and accurately and effectively realize the online Prediction of the Primary frequency control ability of unit.
To reach above-mentioned purpose, the technical solution adopted in the present invention is：Unit Primary frequency control ability predictor method, including
Following steps：
Using unit history primary frequency modulation analysis result as Sample Storehouse, temporally dimension and frequency difference dimension distribute weight system
Number, and the weighted statistical integrated with this to unit primary frequency modulation output contribution index history value merges, and finally gives specified
The unit primary frequency modulation of anticipation frequency difference estimates output contribution amount, realizes and unit Primary frequency control ability is estimated.
The sample data that the Sample Storehouse includes has：Primary frequency modulation time of origin, maximum frequency deviation and contribution of contributing
Index.
Temporally the specific method of dimension distribution weight coefficient is as follows：
The time occurred according to primary frequency modulation event in historical period, to whole primary frequency modulation events of unit with " month "
Clustering is carried out for unit；
Being ranked up in month and distributing according to what once frequency modulation event occurred the order away from current time from the near to the remote
Weight coefficient, weight coefficient are taken as a, a successively2, a3..., at, and weight coefficient meets formula (1)：
a+a2+a3+...+at=1 (1)
Wherein, t is the month number for having frequency modulation event to occur.
Specific method by frequency difference dimension distribution weight coefficient is as follows：
Setting is needed to estimate the anticipation frequency difference Δ f of Primary frequency control ability, and frequency difference scope [Δ f-df, Δ f+df] is divided into
K decile frequency difference section, and the actual maximum frequency deviation partition clustering of all primary frequency modulation events in unit Dan Yue is arrived
In corresponding frequency difference section；
The frequency difference section of once frequency modulation event is ranked up according to the orders of distance anticipation frequency difference DELTA f from the close-by examples to those far off
And weights assigned coefficient, weight coefficient are taken as b, b successively2, b3..., bm, and weight coefficient meets formula (2)：
b+b2+b3+...+bm=1 (2)
Wherein, Δ f is the deviation with 50Hz of setting, and df is the frequency difference range wide chosen, and m is to have frequency modulation event
Frequency difference section number.
Calculating unit primary frequency modulation and estimating the specific method of output contribution amount is：
The synthesis output contribution index in frequency difference section is calculated, is weighted according to the distribution weight coefficient in corresponding frequency difference section
Calculate, obtain comprehensive output contribution index discreet value in single month；
By comprehensive output contribution index discreet value in each single month, it is weighted according to the distribution weight coefficient of corresponding time dimension
Calculate, obtain output contribution index discreet value；
Primary frequency modulation theory output contribution amount of the unit in the case where envisioning frequency difference is calculated, with reference to output contribution index discreet value,
Unit primary frequency modulation is calculated and estimates output contribution amount.
The synthesis output contribution index Idxf in frequency difference sectionjIt is to be fallen by unit in i in the j of frequency difference section once within single month
Frequency modulation output contribution index IdxnCalculate what is be averagely worth to, it is specific to calculate as shown in formula (3)：
Wherein, N is primary frequency modulation output contribution index number in the j of frequency difference section.
Primary frequency modulation theory output contribution amount Δ P of the unit in the case where envisioning frequency difference, is calculated using equation below
Wherein, PNFor the specified active power output of unit, KcFor unit rated speed diversity factor, Δ fsqIt is dead for unit primary frequency modulation
Area, fNFor power network rated frequency, Δ f is anticipation frequency difference.
Unit primary frequency modulation is estimated output contribution amount and is calculated using equation below：
ΔPpre=Idxpre×ΔP
Wherein, IdxpreFor output contribution index discreet value.
Compared with prior art, the beneficial effect that the present invention is reached：
The online unit estimated using unit primary frequency modulation historical analysis result in the case of given frequency difference can be achieved once to adjust
Frequency capacity, make up on unit Primary frequency control ability assessment technology to lack at present and means are estimated to unit Primary frequency control ability
Deficiency；And the present invention can on-line operation, convenience of calculation, without particular/special requirement limit, can be to estimate unit Primary frequency control ability to carry
For reference.
Brief description of the drawings
Fig. 1 is the flow chart of the present invention.
Embodiment
Unit Primary frequency control ability predictor method of the present invention, using unit history primary frequency modulation analysis result as Sample Storehouse,
Temporally dimension and frequency difference dimension distribution weight coefficient, and it is comprehensive to the progress of unit primary frequency modulation output contribution index history value with this
The weighted statistical fusion of conjunction, finally gives and specifies the unit primary frequency modulation of anticipation frequency difference to estimate output contribution amount, realize to unit
Primary frequency control ability is estimated.
The invention will be further described below in conjunction with the accompanying drawings.Following examples are only used for clearly illustrating the present invention
Technical scheme, and can not be limited the scope of the invention with this.
As shown in figure 1, being the flow chart of the present invention, comprise the following steps：
Step 1: using current time as starting point, the machine being calculated in phase of history time range based on PMU data is obtained
Group primary frequency modulation analysis result is as Sample Storehouse.Main sample data includes：Primary frequency modulation time of origin, maximum frequency deviation with
And output contribution index.
Step 2: the time occurred according to primary frequency modulation event in the historical period, to whole primary frequency modulation things of unit
Part is that unit carries out clustering with " month ".Meanwhile according to away from current time order from the near to the remote to there is frequency modulation event hair
It is ranked up in raw month and weights assigned coefficient, weight coefficient is taken as a, a successively2, a3..., at, and weight coefficient meets public affairs
Formula (1)：
a+a2+a3+...+at=1 (1)
Wherein, t is the month number for having frequency modulation event to occur.
Step 3: setting needs to estimate the anticipation frequency difference Δ f of Primary frequency control ability, by frequency difference scope [Δ f-df, Δ f+
Df] k decile frequency difference section is divided into, and the actual maximum frequency deviation of all primary frequency modulation events in unit Dan Yue is drawn
Divide cluster corresponding in frequency difference section.Meanwhile according to the orders of distance anticipation frequency difference DELTA f from the close-by examples to those far off to there is frequency modulation event
Frequency difference section be ranked up and weights assigned coefficient, weight coefficient is taken as b, b successively2, b3..., bm, and weight coefficient meets
Formula (2)：
b+b2+b3+...+bm=1 (2)
Wherein, Δ f is the deviation with 50Hz of setting, and df is the frequency difference range wide chosen, and m is to have frequency modulation event
Frequency difference section number.
Step 4: unit is fallen to the primary frequency modulation output contribution index Idx in the j of frequency difference section for single month in inUsing formula
(3) the synthesis output contribution index Idxf for being averagely worth to frequency difference section j is calculatedj, then according to frequency difference section j distribution weight
Coefficient bjIt is weighted to obtain single month i of unit synthesis output contribution index discreet value Idxm using formula (4)i：
Wherein, N be frequency difference section j in primary frequency modulation output contribution index number, bjFor frequency difference section j distribution weight system
Number.
Step 5: by each single month comprehensive output contribution index discreet value IdxmiAccording to the weight coefficient a of time dimensioniUsing
Formula (5) is weighted to obtain output contribution index discreet value Idxpre：
Step 6: primary frequency modulation theory output contribution amount Δ P of the unit in the case where envisioning frequency difference Δ f is calculated using formula (6),
And unit primary frequency modulation is calculated using formula (7) and estimates output contribution amount Δ Ppre：
ΔPpre=Idxpre×ΔP (7)
Wherein, PNFor the specified active power output of unit, KcFor unit rated speed diversity factor, Δ fsqIt is dead for unit primary frequency modulation
Area (typically takes 0.033Hz), fNFor power network rated frequency (taking 50Hz).
The unit in the case of given frequency difference is estimated using unit primary frequency modulation historical analysis result present invention can be implemented in line
Primary frequency modulation capacity, make up at present on unit Primary frequency control ability assessment technology lack it is pre- to unit Primary frequency control ability
Estimate the deficiency of means；And the present invention can on-line operation, convenience of calculation, without particular/special requirement limit, can be to estimate unit primary frequency modulation
Ability provides reference.
Described above is only the preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the technical principles of the invention, some improvement and deformation can also be made, these are improved and deformation
Also it should be regarded as protection scope of the present invention.
Claims (8)
1. unit Primary frequency control ability predictor method, it is characterised in that comprise the following steps：
Using unit history primary frequency modulation analysis result as Sample Storehouse, temporally dimension and frequency difference dimension distribution weight coefficient, and
The weighted statistical integrated with this to unit primary frequency modulation output contribution index history value merges, and finally gives and specifies anticipation frequency
The unit primary frequency modulation of difference estimates output contribution amount, realizes and unit Primary frequency control ability is estimated.
2. unit Primary frequency control ability predictor method according to claim 1, it is characterised in that what the Sample Storehouse included
Sample data has：Primary frequency modulation time of origin, maximum frequency deviation and output contribution index.
3. unit Primary frequency control ability predictor method according to claim 1, it is characterised in that temporally dimension distribution power
The specific method of weight coefficient is as follows：
The time occurred according to primary frequency modulation event in historical period, with " month " it is single to whole primary frequency modulation events of unit
Position carries out clustering；
Simultaneously weights assigned is ranked up month according to what once frequency modulation event occurred the order away from current time from the near to the remote
Coefficient, weight coefficient are taken as a, a successively2, a3..., at, and weight coefficient meets formula (1)：
a+a2+a3+...+at=1 (1)
Wherein, t is the month number for having frequency modulation event to occur.
4. unit Primary frequency control ability predictor method according to claim 3, it is characterised in that distribute and weigh by frequency difference dimension
The specific method of weight coefficient is as follows：
Setting is needed to estimate the anticipation frequency difference Δ f of Primary frequency control ability, and frequency difference scope [Δ f-df, Δ f+df] is divided into k
Decile frequency difference section, and by the actual maximum frequency deviation partition clustering of all primary frequency modulation events in unit Dan Yue to correspondingly
Frequency difference section in；
The frequency difference section of once frequency modulation event is ranked up and divided according to the orders of distance anticipation frequency difference DELTA f from the close-by examples to those far off
With weight coefficient, weight coefficient is taken as b, b successively2, b3..., bm, and weight coefficient meets formula (2)：
b+b2+b3+...+bm=1 (2)
Wherein, Δ f is the deviation with 50Hz of setting, and df is the frequency difference range wide chosen, and m is the frequency difference for having frequency modulation event
Section number.
5. unit Primary frequency control ability predictor method according to claim 4, it is characterised in that calculate unit primary frequency modulation
Estimating the specific method of output contribution amount is：
The synthesis output contribution index in frequency difference section is calculated, meter is weighted according to the distribution weight coefficient in corresponding frequency difference section
Calculate, obtain comprehensive output contribution index discreet value in single month；
By comprehensive output contribution index discreet value in each single month, meter is weighted according to the distribution weight coefficient of corresponding time dimension
Calculate, obtain output contribution index discreet value；
Primary frequency modulation theory output contribution amount of the unit in the case where envisioning frequency difference is calculated, with reference to output contribution index discreet value, is calculated
Obtain unit primary frequency modulation and estimate output contribution amount.
6. unit Primary frequency control ability predictor method according to claim 5, it is characterised in that the synthesis in frequency difference section goes out
Power contribution index IdxfjIt is the primary frequency modulation output contribution index Idx fallen by unit in i for single month in the j of frequency difference sectionnCalculate
Averagely it is worth to, it is specific to calculate as shown in formula (3)：
<mrow>
<msub>
<mi>Idxf</mi>
<mi>j</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>n</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msub>
<mi>Idx</mi>
<mi>n</mi>
</msub>
</mrow>
<mi>N</mi>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, N is primary frequency modulation output contribution index number in the j of frequency difference section.
7. unit Primary frequency control ability predictor method according to claim 6, it is characterised in that unit is in the case where envisioning frequency difference
Primary frequency modulation theory output contribution amount Δ P, be calculated using equation below
<mrow>
<mi>&Delta;</mi>
<mi>P</mi>
<mo>=</mo>
<mfrac>
<msub>
<mi>P</mi>
<mi>N</mi>
</msub>
<mrow>
<msub>
<mi>K</mi>
<mi>c</mi>
</msub>
<mo>&times;</mo>
<msub>
<mi>f</mi>
<mi>N</mi>
</msub>
</mrow>
</mfrac>
<mo>&times;</mo>
<mrow>
<mo>(</mo>
<mi>&Delta;</mi>
<mi>f</mi>
<mo>-</mo>
<msub>
<mi>&Delta;f</mi>
<mrow>
<mi>s</mi>
<mi>q</mi>
</mrow>
</msub>
<mo>)</mo>
</mrow>
</mrow>
Wherein, PNFor the specified active power output of unit, KcFor unit rated speed diversity factor, Δ fsqFor unit primary frequency modulation dead band, fN
For power network rated frequency, Δ f is anticipation frequency difference.
8. unit Primary frequency control ability predictor method according to claim 7, it is characterised in that unit primary frequency modulation is estimated
Output contribution amount is calculated using equation below：
ΔPpre=Idxpre×ΔP
Wherein, IdxpreFor output contribution index discreet value.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109378817A (en) * | 2018-10-23 | 2019-02-22 | 国网天津市电力公司电力科学研究院 | One kind being based on primary frequency modulation method for estimating stability |
| CN112383069A (en) * | 2020-11-05 | 2021-02-19 | 国网山东省电力公司电力科学研究院 | Dynamic prediction method for primary frequency modulation compensation capability of generator set |
| CN115508650A (en) * | 2022-10-13 | 2022-12-23 | 西安德纳检验检测有限公司 | New energy station frequency modulation detection method and system based on multipoint synchronous measurement |
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| CN115508650A (en) * | 2022-10-13 | 2022-12-23 | 西安德纳检验检测有限公司 | New energy station frequency modulation detection method and system based on multipoint synchronous measurement |
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