CN109510240A - A kind of analysis method that extensive new-energy grid-connected influences Operation of Electric Systems - Google Patents
A kind of analysis method that extensive new-energy grid-connected influences Operation of Electric Systems Download PDFInfo
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Abstract
This application discloses a kind of analysis method that extensive new-energy grid-connected influences Operation of Electric Systems, this method specifically includes that the peak-valley difference variation according to electric system before and after new-energy grid-connected, peak regulation demand of the assessment new-energy grid-connected to electric system；According to wind power output fluctuation and load level fluctuation, frequency modulation demand of the assessment new-energy grid-connected to electric system；Error is predicted according to load prediction error and wind-powered electricity generation, assesses stand-by requirement of the new-energy grid-connected to electric system；The method of operation of electric system is influenced using comparison scheme evaluation new-energy grid-connected.Pass through the application, can be influenced from peak regulation demand, frequency modulation demand, stand-by requirement and the method for operation etc., the influence of extensive new-energy grid-connected is analyzed comprehensively, to effectively improve extensive new-energy grid-connected to the accuracy and reliability of Operation of Electric Systems impact analysis.
Description
Technical field
This application involves new energy grid-connected power technical fields, more particularly to a kind of extensive new-energy grid-connected to electric power
The analysis method of system influence on system operation.
Background technique
With the development of electric system, new energy grid-connected power gradually causes the attention in industry, not due to new energy
Stablize, the grid-connected of new energy can impact Operation of Electric Systems, therefore, analyze new-energy grid-connected to Operation of Electric Systems
It influences, is a very important problem.
Currently, being directed to influence of the new-energy grid-connected to Operation of Electric Systems, mainly small-sized new-energy grid-connected is to power train
The influence of system, small-sized new energy are mainly used in the part of electric system, can't influence too much to electric system usually
It only needs to carry out short-term, small-scale analysis to power grid.Therefore, this small-sized new-energy grid-connected analysis method is applied to big rule
When mould new-energy grid-connected, acquired analysis result is not accurate enough, and reliability is not high enough.
Summary of the invention
This application provides the analysis methods that extensive new-energy grid-connected influences Operation of Electric Systems, to solve existing skill
To the extensive new-energy grid-connected analysis problem that result is not accurate enough, reliability is not high enough in art.
In order to solve the above-mentioned technical problem, the embodiment of the present application discloses following technical solution:
A kind of analysis method that extensive new-energy grid-connected influences Operation of Electric Systems, the new energy include wind-powered electricity generation energy
Source, which comprises
According to the variation of the peak-valley difference of electric system before and after new-energy grid-connected, peak regulation of the assessment new-energy grid-connected to electric system
Demand；
According to wind power output fluctuation and load level fluctuation, frequency modulation demand of the assessment new-energy grid-connected to electric system；
Error is predicted according to load prediction error and wind-powered electricity generation, assesses stand-by requirement of the new-energy grid-connected to electric system；
The method of operation of electric system is influenced using comparison scheme evaluation new-energy grid-connected.
Optionally, the peak-valley difference according to electric system before and after new-energy grid-connected changes, and assesses new-energy grid-connected to electricity
The peak regulation demand of Force system, comprising:
According to the load curve of electric system in annual range, system peak load and minimal negative after new-energy grid-connected are obtained
The distribution probability of lotus；
Influence according to daily wind power output to power system load peak-valley difference classifies to wind power output mode；
According to wind power output mode, the probability that every kind of wind power output mode occurs in annual range is counted.
Optionally, the load curve according to electric system in annual range, system maximum is negative after obtaining new-energy grid-connected
The distribution probability of lotus and minimum load, comprising:
Obtain the lasting load curve of net load in annual range；
According to the difference of net load and wind power output in annual range, equivalent load curve is obtained；
The lasting load curve and equivalent load curve are compared, system peak load and minimum after new-energy grid-connected are obtained
The distribution probability of load.
Optionally, influence of the daily wind power output of the basis to load peak-valley difference, classifies to wind power output mode,
Include:
If daily influence of the wind power output to power system load peak-valley difference is reduction power system load peak-valley difference, and
Reduction degree > 5% defines the peak regulation wind power output mode that is positive；
If daily influence of the wind power output to power system load peak-valley difference is increase power system load peak-valley difference, and
Increase degree > 5% is defined as demodulating peak wind power output mode；
If daily influence of the wind power output to power system load peak-valley difference is reduction power system load peak-valley difference, and
Reduction degree≤5%, alternatively, daily influence of the wind power output to power system load peak-valley difference is to increase power system load peak
Paddy is poor, and increases degree≤5%, is defined as power wind power output mode of clearing.
Optionally, described to be fluctuated according to wind power output fluctuation and load level, new-energy grid-connected is assessed to electric system
Frequency modulation demand, comprising:
According to wind-powered electricity generation minute grade wave characteristic, wind-powered electricity generation minute grade constant interval is obtained；
According to load minute grade wave characteristic, load minute grade constant interval is obtained；
The bound of wind-powered electricity generation minute grade constant interval and the bound of load minute grade variation are separately summed, are calculated
The maximum frequency modulation demand of electric system under wind-electricity integration；
According to the bound of load minute grade constant interval, determine that the maximum frequency modulation of electric system when without wind-electricity integration needs
It asks；
Compare the maximum frequency modulation demand of electric system under wind-electricity integration and when without wind-electricity integration electric system maximum frequency modulation
Demand obtains new-energy grid-connected to the frequency modulation changes in demand of electric system.
Optionally, described that error is predicted according to load prediction error and wind-powered electricity generation, new-energy grid-connected is assessed to electric system
Stand-by requirement, comprising:
According to load prediction error and the prediction load of setting, simulation generates the corresponding system loading prediction of timing and misses
Difference；
Error is predicted according to wind-powered electricity generation, is simulated the corresponding wind-powered electricity generation simulation power output prediction of generation timing using stochastic differential equation and is missed
Difference；
According to timing, system loading prediction error is simulated into power output prediction error correspondence with wind-powered electricity generation and is added, is calculated
System equivalent load predicts error out；
The confidence level of error is predicted according to system equivalent load, calculates the positive and negative of after previous belief leeward is electric grid-connected system
Spare greatest requirements；
Error and the confidence level are predicted according to the system loading, calculate system when under previous belief without wind-electricity integration
Positive and negative spare greatest requirements；
It compares the positive and negative spare greatest requirements of system after previous belief leeward electricity is grid-connected and works as under previous belief without wind-powered electricity generation
The positive and negative spare greatest requirements of system when grid-connected obtain new-energy grid-connected and change to the stand-by requirement of electric system.
It is optionally, described that the method for operation of electric system is influenced using comparison scheme evaluation new-energy grid-connected, comprising:
According to wind power output scene, setting is without wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-peak regulating plan and theoretical anti-tune
Peak scheme；
It is right respectively under the no wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-peak regulating plan and theoretical anti-peak regulating plan
Wet season and dry season respectively take a typical day to carry out running simulation, obtain and demodulate without wind-powered electricity generation scheme, stochastical sampling scheme, typical case
Balance of electric power and ener result under peak scheme and theoretical anti-peak regulating plan；
The balance of electric power and ener is compared as a result, obtaining new-energy grid-connected influences result to the method for operation of electric system.
The technical solution that embodiments herein provides can include the following benefits:
The application provides a kind of analysis method that extensive new-energy grid-connected influences Operation of Electric Systems, and this method is main
Including analyzing and running for peak regulation demand analysis, frequency modulation demand analysis, stand-by requirement of the new-energy grid-connected to electric system
The impact analysis of mode.By the peak-valley difference variation of electric system before and after new-energy grid-connected, new-energy grid-connected can be effectively assessed
To the peak regulation demand of electric system, to be mentioned to peak regulation demand of the subsequent analysis wind-powered electricity generation scale under different scenes and peak modulation capacity
For theoretical foundation.The application is fluctuated according to wind power output fluctuation and load level, can assess new-energy grid-connected more fully hereinafter
To the frequency modulation demand of electric system, and in the application, the analysis of wind power output fluctuation and load level fluctuation is minute grade fluctuation
Characteristic can assess wind-electricity integration to the frequency modulation demand of electric system more accurately.The application according to load prediction error and
Wind-powered electricity generation predicts stand-by requirement of the error evaluation new-energy grid-connected to electric system, can effectively reduce the practical power output of new energy in advance
The deviation of power is measured, to further increase the precision of new energy power output prediction, is conducive to improve extensive new-energy grid-connected pair
The reliability of Operation of Electric Systems impact analysis.The application is also using comparison scheme evaluation new-energy grid-connected to the fortune of electric system
Line mode influence, selected comparison scheme can including calm, wind-powered electricity generation actual scene, the extreme scenes in actual scene and
Theoretical extreme scenes, included application scenarios are more comprehensive, are conducive to improve extensive new-energy grid-connected to electric system fortune
The accuracy and reliability of row impact analysis.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The application can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the application
Example, and together with specification it is used to explain the principle of the application.
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, for those of ordinary skill in the art
Speech, without creative efforts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of analysis that extensive new-energy grid-connected influences Operation of Electric Systems provided by the embodiment of the present application
The flow diagram of method.
Specific embodiment
In order to make those skilled in the art better understand the technical solutions in the application, below in conjunction with the application reality
The attached drawing in example is applied, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described implementation
Example is merely a part but not all of the embodiments of the present application.Based on the embodiment in the application, this field is common
The application protection all should belong in technical staff's every other embodiment obtained without making creative work
Range.
The application in order to better understand explains in detail presently filed embodiment with reference to the accompanying drawing.
Referring to Fig. 1, Fig. 1 is a kind of extensive new-energy grid-connected provided by the embodiment of the present application to Operation of Electric Systems shadow
The flow diagram of loud analysis method.As shown in Figure 1, in the present embodiment extensive new-energy grid-connected to Operation of Electric Systems shadow
Loud analysis method, mainly comprises the following processes:
S1: changing according to the peak-valley difference of electric system before and after new-energy grid-connected, assesses new-energy grid-connected to electric system
Peak regulation demand.
New energy in the present embodiment mainly includes the wind-powered electricity generation energy, compared to traditional generation mode, the power output of wind-power electricity generation
Conventional energy resource in adjustment system at any time is needed when wind speed variation causes wind power to change with significant uncertainty
The power output of unit, to meet system load demand.For power grid, the load that wind-powered electricity generation is visually negative, when wind-powered electricity generation goes out in power grid
When power increases, conventional energy resource unit output is needed to reduce in power grid to guarantee that grid power balances, when wind power output subtracts in power grid
Hour, need to increase the variation of conventional energy resource unit output balance output of wind electric field.
After new-energy grid-connected, the load of meeting balancing electric power system a part, new energy power output has uncertainty, such as:
In extreme circumstances, it be zero that new energy may contribute in annual busy hour, and power output is maximum when annual minimum load, therefore,
It can aggravate the peak regulation difficulty of electric system after new-energy grid-connected.The peak-valley difference of electric system is the weight for influencing new-energy grid-connected space
Factor is wanted, for same peak load under peak-load regulating ability, peak-valley difference is smaller, and the new energy that system has receives ability to get over
Height, the present embodiment changes according to the peak-valley difference of electric system before and after new-energy grid-connected, to assess new-energy grid-connected to electric system
Peak regulation demand, can more accurately and efficiently obtain peak regulation need assessment result.
Specifically, step S1 includes the following steps: again
S11: according to the load curve of electric system in annual range, obtain after new-energy grid-connected system peak load with most
The distribution probability of Smaller load.
Wherein, step S11 is comprised the following processes again:
S111: the lasting load curve of net load in annual range is obtained.
Net load can be subtracted by original loads sends agreement outside to obtain.
S112: according to the difference of net load and wind power output in annual range, equivalent load curve is obtained.
S113: comparing lasting load curve and equivalent load curve, obtain after new-energy grid-connected system peak load with most
The distribution probability of Smaller load.
The present embodiment is from timing angle, by the way that net load is subtracted wind power output, can be calculated under probability meaning electric
The equivalent load curve of Force system can be analyzed new under probability meaning by comparing lasting load curve and equivalent load curve
After the energy is grid-connected, the situation of change of electric system peak load and minimum load.
S12: the influence according to daily wind power output to power system load peak-valley difference divides wind power output mode
Class.
Other than the size of peak-valley difference can influence new energy receiving ability, power system load peak, paddy occur when
Section and the correlation at wind power output peak, paddy, and influence an important factor for new energy receives ability, the two peak, paddy appearance when
Section correlation is higher, then has higher new energy and receive ability, the period correlation that the two peak, paddy occur is lower, then weakens
The receiving ability of new energy.
Specifically, step S12 is comprised the following processes again:
S121: if daily influence of the wind power output to power system load peak-valley difference is to reduce power system load peak valley
Difference, and reduce degree > 5%, define the peak regulation wind power output mode that is positive.
S122: if daily influence of the wind power output to power system load peak-valley difference is to increase power system load peak valley
Difference, and increase degree > 5%, it is defined as demodulating peak wind power output mode.
S123: if daily influence of the wind power output to power system load peak-valley difference is to reduce power system load peak valley
Difference, and reduce degree≤5%, alternatively, daily influence of the wind power output to power system load peak-valley difference is to increase electric system
Load peak-valley difference, and increase degree≤5%, it is defined as power wind power output mode of clearing.
The present embodiment is to cut down power system load peak-valley difference effect or aggravation electric system according to daily wind power output
Load peak-valley difference effect, and aggravation or the degree cut down, are divided into positive peak regulation, power of clearing for wind power output mode and demodulate peak three
Kind of situation, and with ± 5% for threshold value, can cover more comprehensive and accurately wind power output and power system load peak-valley difference it
Between relationship, to effectively improve new-energy grid-connected to the reliability of the assessment result of electric system peak regulation demand.
After determining three kinds of wind power output modes, step S13 is executed: according to wind power output mode, counting in annual range
The probability that every kind of wind power output mode occurs.
It, can wind-powered electricity generation be simultaneously under acquisition probability meaning by counting the probability that three kinds of wind power output modes occur in annual range
Influence of the net to electric system peak-valley difference.
With continued reference to Fig. 1 it is found that the analysis side that extensive new-energy grid-connected influences Operation of Electric Systems in the present embodiment
Method further includes step S2: being fluctuated according to wind power output fluctuation and load level, frequency modulation of the assessment new-energy grid-connected to electric system
Demand.
Specifically, step S2 is comprised the following processes again:
S21: according to wind-powered electricity generation minute grade wave characteristic, wind-powered electricity generation minute grade constant interval is obtained.
The present embodiment can fluctuate relationship and wind-powered electricity generation hour between the grade fluctuation of branch minute based on wind-powered electricity generation hour grade
Grade wave characteristic, to assess wind-powered electricity generation minute grade wave characteristic and load minute grade wave characteristic.
According to the grade fluctuation of wind power output minute in being just distributed very much, wind power output minute grade variation standard deviation sigma accounts for the present embodiment
The ratio of installed capacity is 3%, and the amplitude ζ of wind-powered electricity generation maximum output variation is 7 times of wind-powered electricity generation minute grade power output variation standard deviation, about
It is 20%, i.e. 7 σ of ζ ≈, to calculate the grade fluctuation of wind-powered electricity generation minute for the demand of system frequency regulation capacity.
For the situation of multiple wind power plants, it is assumed that the installed capacity of i-th of wind power plant and minute grade power output variation standard deviation
Respectively CiWith σi, it is assumed that multiple wind power plant minute grade fluctuations are mutual, then the gross capability minute grade variation standard deviation of whole wind power plants
σΣAre as follows:
Therefore, according to the installed capacity of each wind power plant, can to wind power plant total minute grade power output variation standard deviation and
Total minute grade maximum output is calculated, to obtain wind-powered electricity generation minute grade constant interval.
S22: according to load minute grade wave characteristic, load minute grade constant interval is obtained.
Load minute grade amplitude of variation is the 1/ of 1/15 to the load hour grade amplitude of variation of load hour grade amplitude of variation
40.The present embodiment is calculated according to 1/15 that load minute grade amplitude of variation is load hour grade amplitude of variation, and the present embodiment
The positive and negative variation probability of middle load minute grade is consistent.By the statistics to the grade variation of historical load hour, it is small that historical load can be obtained
When grade constant interval, the present embodiment take load minute grade variation be load hour grade amplitude of variation 1/15, so as to close
Seemingly calculate the section of load minute grade variation.
S23: the bound of wind-powered electricity generation minute grade constant interval and the bound of load minute grade variation are separately summed, calculated
Obtain the maximum frequency modulation demand of electric system under wind-electricity integration.
The present embodiment is by distinguishing the bound of the bound of wind-powered electricity generation minute grade constant interval and the grade variation of load minute
It is added, obtains under extreme case at once, the minute grade power output variation of equivalent load curve.
S24: according to the bound of load minute grade constant interval, the maximum frequency modulation of electric system when without wind-electricity integration is determined
Demand.
S25: compare the maximum frequency modulation demand of electric system under wind-electricity integration and when without wind-electricity integration electric system maximum
Frequency modulation demand obtains new-energy grid-connected to the frequency modulation changes in demand of electric system.
With continued reference to Fig. 1 it is found that the analysis method that extensive new-energy grid-connected influences Operation of Electric Systems in this implementation,
Further include step S3: error, spare need of the assessment new-energy grid-connected to electric system are predicted according to load prediction error and wind-powered electricity generation
It asks.
Specifically, step S3 is comprised the following processes again:
S31: according to load prediction error and the prediction load of setting, simulation generates the corresponding system loading prediction of timing
Error.
Present embodiment assumes that load prediction precision is 98%, and assumed load predicts error Normal Distribution, according to giving
The prediction load of the fixed following forcasted years can simulate and generate the corresponding system loading prediction error of timing.
S32: predicting error according to wind-powered electricity generation, and it is pre- to simulate the corresponding wind-powered electricity generation simulation power output of generation timing using stochastic differential equation
Survey error.
Present embodiment assumes that the absolute error of wind-powered electricity generation simulation power output is the 15% of installed capacity, and air speed error obeys normal state
Distribution can use GOPT software, simulated using stochastic differential equation and generate the corresponding wind-powered electricity generation simulation power output prediction error of timing.
S33: according to timing, system loading prediction error is simulated into power output prediction error correspondence with wind-powered electricity generation and is added, is calculated
System equivalent load predicts error out.
By the way that system loading is predicted that error is simulated power output prediction error correspondence with wind-powered electricity generation and is added, available probability meaning
Lower system equivalent load predicts error.
S34: predicting the confidence level of error according to system equivalent load, calculates system after previous belief leeward electricity is grid-connected
Positive and negative spare greatest requirements.
Assuming that the positive and negative spare prediction deviation being taken as under 99% confidence level of balance respectively of system, can be calculated wind-powered electricity generation simultaneously
After net under 99% confidence level system positive and negative spare greatest requirements.
The positive and negative stand-by requirement of system includes the positive stand-by requirement of system peak load and system paddy bear stand-by requirement.To guarantee electricity
Force system safe operation, the peak load moment need it is reserved just spare, the paddy lotus moment need it is reserved bear it is spare,
For system water non-leap year 365 days all peak load moment, the positive peak regulation of wind-powered electricity generation was counted respectively, demodulates peak and all wind-powered electricity generations
Under scene Three models, prediction negative error of the wind-powered electricity generation at the peak load moment, it is assumed that system reserve is taken as under 99% confidence level of balance
Prediction deviation, after calculating wind power integration, the increased positive spare capacity of peak load needed for the system peak load moment；For system
Forcasted years 365 days all paddy lotus moment counted the positive peak regulation of wind-powered electricity generation respectively, demodulate under peak and all wind-powered electricity generation scene Three models,
Prediction positive error of the wind-powered electricity generation at the paddy lotus moment, it is assumed that system reserve is taken as the prediction deviation under 99% confidence level of balance, so as to
After calculating wind power integration, increased paddy bear spare capacity needed for the system paddy lotus moment.
S35: predicting error and confidence level according to system loading, is calculating when under previous belief without wind-electricity integration system just
Bear spare greatest requirements.
The positive and negative spare greatest requirements Computing Principle of system, identical with step S34 when without wind-electricity integration, does not consider only
Wind-powered electricity generation influences the peak regulation of electric system, when calculating without wind power integration, the just spare appearance of increased peak load needed for the system peak load moment
Increased paddy bear spare capacity needed for amount and system paddy lotus moment.
S36: the positive and negative spare greatest requirements of system after previous belief leeward electricity is grid-connected are compared and work as nothing under previous belief
The positive and negative spare greatest requirements of system when wind-electricity integration obtain new-energy grid-connected and change to the stand-by requirement of electric system.
By above step S31-S36 it is found that the present embodiment predicts error by load prediction error and wind-powered electricity generation, new energy is assessed
The grid-connected stand-by requirement to electric system in source can successfully manage the deviation of new energy practical power output and prediction power output, to mention
High extensive new-energy grid-connected ensures electricity after extensive new-energy grid-connected to the accuracy of Operation of Electric Systems impact analysis
Force system can operate normally.
S4: the method for operation of electric system is influenced using comparison scheme evaluation new-energy grid-connected.
After new-energy grid-connected, the power generation share of other power supplys on the one hand can be squeezed, reduces the plan power output of conventional energy resource；Separately
On the one hand the peak regulation demand and stand-by requirement that will increase system again, influence the Unit Commitment arrangement of generation schedule.The present embodiment is logical
Influence of the assessment new-energy grid-connected to the method for operation of electric system is crossed, extensive new-energy grid-connected in the present embodiment is enabled to
The analysis influenced on Operation of Electric Systems is more comprehensive, to improve analysis reliability and accuracy.
Specifically, step S4 is comprised the following processes again:
S41: according to wind power output scene, setting is without wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-peak regulating plan and theory
Anti- peak regulating plan.
S42: right respectively under no wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-peak regulating plan and theoretical anti-peak regulating plan
Wet season and dry season respectively take a typical day to carry out running simulation, obtain and demodulate without wind-powered electricity generation scheme, stochastical sampling scheme, typical case
Balance of electric power and ener result under peak scheme and theoretical anti-peak regulating plan.
S43: comparing balance of electric power and ener as a result, obtaining new-energy grid-connected influences result to the method for operation of electric system.
By above step S41-S43 it is found that the present embodiment setting is without wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-tune peak
Scheme and theoretical anti-four comparison schemes of peak regulating plan, respectively correspond do not consider wind power output, wind power output timing simulation sample,
That chooses based on wind-powered electricity generation timing simulation typical demodulates that peak, theoretically wind-powered electricity generation extremely demodulates four kinds of peak wind power output scene.Four right
It is more comprehensive than the wind power output scene that scheme can be covered, it can be from probability meaning and the new energy of extreme case quantitative analysis
The grid-connected influence to power system operation mode in source is conducive to improve extensive new-energy grid-connected to Operation of Electric Systems influence point
The reliability of analysis.
The above is only the specific embodiment of the application, is made skilled artisans appreciate that or realizing this Shen
Please.Various modifications to these embodiments will be apparent to one skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (7)
1. a kind of analysis method that extensive new-energy grid-connected influences Operation of Electric Systems, which is characterized in that the new energy
Including the wind-powered electricity generation energy, which comprises
According to the variation of the peak-valley difference of electric system before and after new-energy grid-connected, assessment new-energy grid-connected needs the peak regulation of electric system
It asks；
According to wind power output fluctuation and load level fluctuation, frequency modulation demand of the assessment new-energy grid-connected to electric system；
Error is predicted according to load prediction error and wind-powered electricity generation, assesses stand-by requirement of the new-energy grid-connected to electric system；
The method of operation of electric system is influenced using comparison scheme evaluation new-energy grid-connected.
2. the analysis method that a kind of extensive new-energy grid-connected according to claim 1 influences Operation of Electric Systems,
It is characterized in that, the peak-valley difference according to electric system before and after new-energy grid-connected changes, and assesses new-energy grid-connected to electric system
Peak regulation demand, comprising:
According to the load curve of electric system in annual range, system peak load and minimum load after new-energy grid-connected are obtained
Distribution probability；
Influence according to daily wind power output to power system load peak-valley difference classifies to wind power output mode；
According to wind power output mode, the probability that every kind of wind power output mode occurs in annual range is counted.
3. the analysis method that a kind of extensive new-energy grid-connected according to claim 2 influences Operation of Electric Systems,
Be characterized in that, the load curve according to electric system in annual range, obtain new-energy grid-connected after system peak load with most
The distribution probability of Smaller load, comprising:
Obtain the lasting load curve of net load in annual range；
According to the difference of net load and wind power output in annual range, equivalent load curve is obtained；
The lasting load curve and equivalent load curve are compared, system peak load and minimum load after new-energy grid-connected are obtained
Distribution probability.
4. the analysis method that a kind of extensive new-energy grid-connected according to claim 2 influences Operation of Electric Systems,
It is characterized in that, influence of the daily wind power output of basis to load peak-valley difference classifies to wind power output mode, comprising:
If daily influence of the wind power output to power system load peak-valley difference is to reduce power system load peak-valley difference, and reduce
Degree > 5% defines the peak regulation wind power output mode that is positive；
If daily influence of the wind power output to power system load peak-valley difference is to increase power system load peak-valley difference, and increase
Degree > 5% is defined as demodulating peak wind power output mode；
If daily influence of the wind power output to power system load peak-valley difference is to reduce power system load peak-valley difference, and reduce
Degree≤5%, alternatively, daily influence of the wind power output to power system load peak-valley difference is to increase power system load peak valley
Difference, and increase degree≤5%, it is defined as power wind power output mode of clearing.
5. the analysis method that a kind of extensive new-energy grid-connected according to claim 1 influences Operation of Electric Systems,
It is characterized in that, described to be fluctuated according to wind power output fluctuation and load level, assessment new-energy grid-connected needs the frequency modulation of electric system
It asks, comprising:
According to wind-powered electricity generation minute grade wave characteristic, wind-powered electricity generation minute grade constant interval is obtained；
According to load minute grade wave characteristic, load minute grade constant interval is obtained；
The bound of wind-powered electricity generation minute grade constant interval and the bound of load minute grade variation are separately summed, wind-powered electricity generation is calculated
And the maximum frequency modulation demand of electric system off the net；
According to the bound of load minute grade constant interval, the maximum frequency modulation demand of electric system when without wind-electricity integration is determined；
Compare the maximum frequency modulation demand of electric system under wind-electricity integration and when without wind-electricity integration electric system maximum frequency modulation demand,
New-energy grid-connected is obtained to the frequency modulation changes in demand of electric system.
6. the analysis method that a kind of extensive new-energy grid-connected according to claim 1 influences Operation of Electric Systems,
It is characterized in that, it is described that error, spare need of the assessment new-energy grid-connected to electric system are predicted according to load prediction error and wind-powered electricity generation
It asks, comprising:
According to load prediction error and the prediction load of setting, simulation generates the corresponding system loading of timing and predicts error；
Error is predicted according to wind-powered electricity generation, is simulated using stochastic differential equation and is generated the corresponding wind-powered electricity generation simulation power output prediction error of timing；
According to timing, system loading prediction error is simulated into power output prediction error correspondence with wind-powered electricity generation and is added, is calculated and be
Equivalent load of uniting predicts error；
The confidence level of error is predicted according to system equivalent load, calculates the positive and negative spare of after previous belief leeward is electric grid-connected system
Greatest requirements；
Error and the confidence level are predicted according to the system loading, are calculating when under previous belief without wind-electricity integration system just
Bear spare greatest requirements；
It compares the positive and negative spare greatest requirements of system after previous belief leeward electricity is grid-connected and works as under previous belief without wind-electricity integration
When system positive and negative spare greatest requirements, obtain new-energy grid-connected and the stand-by requirement of electric system changed.
7. the analysis method that a kind of extensive new-energy grid-connected according to claim 1 influences Operation of Electric Systems,
It is characterized in that, it is described that the method for operation of electric system is influenced using comparison scheme evaluation new-energy grid-connected, comprising:
According to wind power output scene, setting is without wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-peak regulating plan and theoretical anti-tune peak side
Case；
Respectively under the no wind-powered electricity generation scheme, stochastical sampling scheme, typical anti-peak regulating plan and theoretical anti-peak regulating plan, to abundance of water
Phase and dry season respectively take a typical day to carry out running simulation, obtain and demodulate peak side without wind-powered electricity generation scheme, stochastical sampling scheme, typical case
Balance of electric power and ener result under case and theoretical anti-peak regulating plan；
The balance of electric power and ener is compared as a result, obtaining new-energy grid-connected influences result to the method for operation of electric system.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110474328A (en) * | 2019-08-20 | 2019-11-19 | 杭州市电力设计院有限公司余杭分公司 | A kind of grid-connected control method and system of new energy power station |
| CN113972697A (en) * | 2021-10-14 | 2022-01-25 | 国网天津市电力公司 | Cluster output characteristic evaluation method for large-scale grid-connected new energy |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104333047A (en) * | 2014-10-31 | 2015-02-04 | 武汉大学 | Real-time rolling planning method applied to wind power integration of power system |
| CN104377726A (en) * | 2014-11-11 | 2015-02-25 | 国家电网公司 | Peak shaving method for large-scale new energy grid-connected power generation |
| CN106953363A (en) * | 2017-05-04 | 2017-07-14 | 西南交通大学 | Power network spinning reserve Optimal Configuration Method under a kind of wind power plant limit power operating states |
-
2018
- 2018-12-14 CN CN201811532720.7A patent/CN109510240B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104333047A (en) * | 2014-10-31 | 2015-02-04 | 武汉大学 | Real-time rolling planning method applied to wind power integration of power system |
| CN104377726A (en) * | 2014-11-11 | 2015-02-25 | 国家电网公司 | Peak shaving method for large-scale new energy grid-connected power generation |
| CN106953363A (en) * | 2017-05-04 | 2017-07-14 | 西南交通大学 | Power network spinning reserve Optimal Configuration Method under a kind of wind power plant limit power operating states |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110474328A (en) * | 2019-08-20 | 2019-11-19 | 杭州市电力设计院有限公司余杭分公司 | A kind of grid-connected control method and system of new energy power station |
| CN113972697A (en) * | 2021-10-14 | 2022-01-25 | 国网天津市电力公司 | Cluster output characteristic evaluation method for large-scale grid-connected new energy |
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