CN107947200A - A kind of method that system frequency deviation coefficient containing wind-powered electricity generation determines - Google Patents
A kind of method that system frequency deviation coefficient containing wind-powered electricity generation determines Download PDFInfo
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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
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- H02J3/386—
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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
- 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]
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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Abstract
The present invention relates to a kind of method that power system frequency deviation factor containing wind-powered electricity generation determines, in terms of belonging to power system static safe and stable operation, comprises the following steps：With reference to wind power output historical data and its power producing characteristics is analyzed, establishes the physical model of wind-force numerical forecast；Output of wind electric field is predicted；Judge whether climbing event can occur in following certain time period according to prediction result, predict will occur wind power climbing event when, the numerical value of system frequency deviation coefficient is redefined according to the degree of climbing event, direction, make the frequency bias coefficient of system according to wind power output dynamic following natural frequency characteristic coefficient, to ensure that secondary system frequency modulation is accurate.The present invention adapts to the development trend of large-scale wind power access system, and a kind of new method is provided for the frequency change that reply large-scale wind power wave zone comes with reference to prediction model frequency of amendment deviation factor.
Description
Technical field
The invention belongs to power system security stable operation field, is related to a kind of by predicting the climbing thing containing wind power system
Part, so that update the system frequency bias coefficient improves the method for secondary system frequency modulation.
Background technology
Frequency is one of important indicator of power quality, and the quality of frequency quality directly influences power system security, steady
Fixed, economic, high-quality operation, at present in interconnected electric power system FREQUENCY CONTROL, the general method using fixed coefficient sets frequency
Deviation factor B, this can cause Automatic Generation Control (AGC) regulated quantity cannot accurate tracking system power deviation, in some instances it may even be possible to draw
Serious frequency toning or less stress are played, and then causes frequency stabilization problem；Particularly with the system of the power supply of distributed containing wind-powered electricity generation,
Coming from its fluctuation and randomness its output has larger change rate, system primary frequency modulation effect can be caused undesirable so as to increase
Adding system frequency modulation frequency modulation responsibility, so if predicting the climbing event of wind-powered electricity generation, you can adjusted in advance to frequency bias coefficient
It is whole, the adjusting that control area is made according to district control deviation (ACE) can be made more accurate, help to ensure that system frequency modulation is imitated
Fruit.
The fluctuation for determining not considering in existing research wind power output and the feelings of randomness on frequency bias coefficient
Condition, does not also add the prediction to wind-powered electricity generation climbing event during frequency bias coefficient adjustment；Document《Three-stage frequency departure system
Number and its application in interconnected network frequency modulation》Usually set different primary frequency modulations dead based on thermoelectricity, water power in electric system
Area, it is proposed that three-stage frequency bias coefficient method, can be accurately tracked by system power deviation, and demonstrate proposed three
Segmentation frequency bias coefficient can effectively reduce frequency departure phenomenon；Document《Frequency bias coefficient determines in Automatic Generation Control
The discussion of method》Establish under different running method whole day frequency bias coefficient model at times；With reference to Automatic Generation Control point
The characteristics of level control, by frequency departure grade setpoint frequency deviation factor；Above-mentioned document all proposes not using the frequency of certain fixation
Rate deviation factor can improve interconnected electric power system frequency modulation control performance, affirm that dynamic frequency deviation factor can actually improve
The frequency modulation effect of system, but all do not consider to access the situation of large-scale wind power in systems, therefore existing research is in extensive wind
Reply system frequency deviation as caused by fluctuating wind power is not enough in the case of being electrically accessed system.
Such as system containing large-scale wind power adjusts frequency bias coefficient not for wind-powered electricity generation fluctuation, and wind-powered electricity generation climbing event is occurring
When system primary frequency modulation effect it is undesirable, since the size of natural frequency characteristic coefficient (β) is related with Primary frequency control ability, if
Do not adjust frequency bias coefficient (B), | B | and | β | between difference will increase, cause the increase of secondary system frequency regulating duty, and system
Frequency modulation frequency modulation can only improve the speed of frequency retrieval after frequency of occurrences deviation, the size of frequency difference, therefore system can not be reduced
Frequency still cannot well recover.To sum up, this method adjusts frequency departure system according to prediction large-scale wind power output result
Number, makes the B of system be in dynamic and follows β according to wind power output, this method helps to reduce secondary system frequency modulation pressure, at the same time
Ensure frequency modulation frequency modulation effect, it is significant.
The content of the invention
(1) technical problem intended to solve
For the deficiency of existing research, " a kind of method that system frequency deviation coefficient containing wind-powered electricity generation determines " of the invention, carries
Go out in the system containing wind-powered electricity generation, the output power of wind-powered electricity generation be predicted, when predict climbing event will occur when, then root
It is predicted that the frequency bias coefficient that result adjustment system is current, ensures stable system frequency, promotion wind electricity digestion, optimization to reach
The purpose of frequency modulation frequency modulation effect.
Technical solution：The uncertainties such as the change rate according to historical data analysis wind power output, establish wind-force numerical forecast
Physical model, by the predictions such as historical wind speed climb event, and according to wind power output prediction result adjust system frequency deviation
Coefficient, this method include following several steps：
Step 1：With reference to wind power output historical data and its uncertainty of contributing is analyzed, establishes the physics of wind-force numerical forecast
Model.
Step 2：Output of wind electric field is predicted by historical wind speed, wind direction and wind power data.
Step 3：Obtain power prediction value judges whether climbing event can occur in following certain time period later,
Predicting when wind power climbing event will occur, early warning system reserves enough frequency regulation capacities, and according to climbing event
Degree, direction redefine the numerical value of system frequency deviation coefficient.
Beneficial effect：The present invention is to adapt to the development trend of the big access system of large-scale wind power, there is provided one kind is by pre-
The thinking of wind power output result adjustment system frequency deviation coefficient is surveyed, the pressure that can mitigate secondary system frequency modulation promotes wind at the same time
The consumption of electricity, ensure that the stabilization of system frequency.
Brief description of the drawings
Fig. 1 is the flow chart for a kind of method that system frequency deviation coefficient containing wind-powered electricity generation determines.
Embodiment
The present invention comprises the following steps：
1) physical model of wind-force numerical forecast is established
With reference to the wind power output sequential power curve figure in system to wind power output in four year, season, the moon, day time rulers
Degree, chooses the spy of the analysis wind power outputs such as working day summer in winter, the output sequential output change rate of festivals or holidays each typical day, peak valley
Point, and according to wind power output characteristic and need the time scale predicted to establish the physical model of wind-force numerical forecast.
Numerical weather forecast (NWP) is the actual conditions according to air, under the conditions of certain initial value and boundary value, is passed through
Mainframe computer carries out numerical computations, the hydrodynamics and thermodynamical equilibrium equation group of weather modification process is solved with this, to predict not
Carry out the method for the air motion state and weather phenomenon of certain period.The output of NWP is the weather information of following a period of time, and
Information not exclusively on wind.The result of study of U.S. AWS Truewnd shows that the change of meteorological condition is to cause wind-powered electricity generation work(
The main reason for rate fluctuates, physics NWP models will play important role in the prediction of wind power climbing event.Together
When, since orographic factor influences, under same meteorological condition, the power output of different wind power plants may have difference in a region
Characteristic.Therefore, it there is a need to the historical data of reasonable employment wind power plant, to improve the estimated performance of climbing event.
2) wind-force numerical forecast physical model is utilized, the wind power of wind power plant is predicted with reference to historical wind speed etc.
With WPPT instrument combination NWP data, historical wind speed, wind direction and wind power data to the wind power of wind power plant into
Row prediction, and with the different threshold value selection of the actual data analysis of 1 year to various durations scale climbing event prediction performance
Influence, if having multiple wind power plants or multiple ventilation measuring points in a panel region, can be carried using the measurement data of neighbouring measuring point
The wind power climbing event prediction model prediction performance of high wind power plant, and the prediction result of multiple NWP models combination is obvious
Better than using single NWP models as a result, obtaining after power prediction value according to formula
|Pt+Δt-Pt| ＞ PVal (1)
Wherein PValFor threshold values, judge next sometime whether climbing event can occur in scale according to (1) formula.
3) judge whether that wind-powered electricity generation climbing event can occur, and the frequency bias coefficient of system is adjusted according to prediction result
According to formula (1) come with the difference of two moment wind powers of t and Δ t to determine whether there is climbing event, when
When predicting climbing event can occur, it is inclined that the current frequency of system is adjusted according to the degree of the climbing event predicted, direction
Poor coefficient.Setting suitable frequency bias coefficient can make system frequency adjusting more accurate,
EA C,iE=Δ Pt,i-10βiΔf-10(Bi-βi)Δf (2)
Wherein：EACE,iFor the value of the district control deviation of region i；ΔPt,iFor the dominant eigenvalues of region i (outflow is just)
Deviation, is dominant eigenvalues actual value and the difference of planned value；Δ f is system operation frequency departure, is actual frequency and plan frequency
The difference of rate； BiIt is negative value for the frequency bias coefficient of region i；βiIt is negative value for the natural frequency characteristic coefficient of region i.Containing
Have in the system of large-scale wind power, due to the fluctuation and uncertainty of wind power output, cause wind power influence of fluctuations system
Frequency, when climbing event occurs such as wind power output, wind power output will appear from very big change rate, be rushed to the frequency band of system
Hit, if in the case where system has no preparation, primary frequency modulation can hardly reach satisfied effect, at this time | β | reduce, if not
Adjustment | B | i.e. Δ B will increase, then calculated | EACE,i| the gap with the actual power absolute value of the bias of control area
Just become larger, the district control deviation calculated value of secondary system frequency modulation institute foundation and the difference of actual value become larger.Therefore, wind is being predicted
After the climbing event that electricity is contributed, after adjusting B in time according to prediction result, it can effectively reduce the gap between B and β, such as
It will occur significantly to rise or land predicting wind power output, system can be deduced and carry out system frequency after primary frequency modulation
Still it is unsatisfactory for requiring, coefficient | β | it will reduce, if at this time can be in time by | B | setting value reduces that ensure will not be because of between the two
Gap increases and causes system frequency modulation deficiency or overshoot, that is, the ACE obtained more accurate, the tune that control area is made according to ACE
Section is more accurate.Therefore, the value of frequency bias coefficient (B) is adjusted in advance if predicting and climbing event can occur,
It can make the error of reduction district control deviation, therefore it is more accurate to be conducive to frequency modulation frequency modulation.
Embodiments above is merely to illustrate the present invention, and not limitation of the present invention, in relation to the common of technical field
Technical staff, without departing from the spirit and scope of the present invention, can also make a variety of changes and modification, therefore all
Equivalent technical solution falls within the protection category of the present invention.
Claims (4)
1. a kind of method that system frequency deviation coefficient containing wind-powered electricity generation determines, it is characterized in that this method comprises the following steps：
Step 1：With reference to wind power output historical data and its uncertainty of contributing is analyzed, establishes the physics mould of wind-force numerical forecast
Type；
Step 2：Output of wind electric field is predicted by historical wind speed, wind direction and wind power data；
Step 3：The frequency bias coefficient of current system is corrected according to prediction result, is judged by obtaining the later of power prediction value
Whether climbing event can occur in following certain time period, predict wind power climbing event will occur when, according to
The degree of climbing event, direction redefine the numerical value of system frequency deviation coefficient, are in the frequency bias coefficient of system
Dynamic simultaneously follows natural frequency characteristic coefficient according to wind power output.
2. the model according to claim 1 and method, it is characterized in that, step 1 will obtain the basic letter of power grid wind unit
Breath and data, with reference to the wind power output sequential power curve figure in system to wind power output in year, season, the moon, four times of day
Scale, chooses the spy of the analysis wind power outputs such as working day summer in winter, the output sequential output change rate of festivals or holidays each typical day, peak valley
Point, and according to obtaining analysis result and needing the time scale predicted, initialization and boundary value, establish wind-force numerical forecast
Physical model.
3. according to physical model combination historical data, wind direction and the wind power data of wind-force numerical forecast in claim 1
Determine the numerical value threshold values that model prediction climbing event occurs, the wind power of wind power plant is predicted.
4. according to the model method described in claim 1, the wind power prediction according to step 2 is as a result, update the system is current
Frequency bias coefficient, judge next certain a period of time in whether climbing event can occur, wind-powered electricity generation will occur when predicting
During power climbing event (including upper climbing event and lower climbing event), according to the instantaneous rate of change of the wind power output predicted
Size, change direction, that is, climbing event degree, side etc. it is (known to redefine the numerical value of current system frequency deviation coefficient
In the case that system Primary frequency control ability reduces | β | reduce, thus can when predicting wind power output and facing great fluctuation process, will | B |
Value is lowered) frequency bias coefficient of system is in dynamic and is followed natural frequency characteristic coefficient according to wind power output, to reduce
For the purpose of gap between district control deviation calculated value and actual value, the accuracy of district control deviation can be improved, with this
The accurate of frequency modulation frequency modulation is ensured at the same time to reduce the pressure of secondary system frequency modulation, is beneficial to consumption and the power system frequency of wind energy
Stablize.
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Cited By (4)
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|---|---|---|---|---|
| CN109193702A (en) * | 2018-10-27 | 2019-01-11 | 国网山东省电力公司电力科学研究院 | Peaking generation unit frequency modulation integrated control method in a kind of high wind-powered electricity generation permeability power grid |
| CN109460856A (en) * | 2018-10-08 | 2019-03-12 | 国网青海省电力公司 | Consider wind speed-wind direction correlation wind-powered electricity generation field frequencies range methods of risk assessment |
| CN112865204A (en) * | 2021-01-25 | 2021-05-28 | 国网新疆电力有限公司 | Wind power plant frequency support capacity estimation method and device and computer equipment |
| CN116308303A (en) * | 2023-05-22 | 2023-06-23 | 天宇正清科技有限公司 | Maintenance plan generation method, device, equipment and medium based on equipment data |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109460856A (en) * | 2018-10-08 | 2019-03-12 | 国网青海省电力公司 | Consider wind speed-wind direction correlation wind-powered electricity generation field frequencies range methods of risk assessment |
| CN109193702A (en) * | 2018-10-27 | 2019-01-11 | 国网山东省电力公司电力科学研究院 | Peaking generation unit frequency modulation integrated control method in a kind of high wind-powered electricity generation permeability power grid |
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| CN112865204A (en) * | 2021-01-25 | 2021-05-28 | 国网新疆电力有限公司 | Wind power plant frequency support capacity estimation method and device and computer equipment |
| CN112865204B (en) * | 2021-01-25 | 2023-04-07 | 国网新疆电力有限公司 | Wind power plant frequency support capacity estimation method and device and computer equipment |
| CN116308303A (en) * | 2023-05-22 | 2023-06-23 | 天宇正清科技有限公司 | Maintenance plan generation method, device, equipment and medium based on equipment data |
| CN116308303B (en) * | 2023-05-22 | 2023-08-29 | 天宇正清科技有限公司 | Maintenance plan generation method, device, equipment and medium based on equipment data |
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