CN105989206A - Wind power plant/photovoltaic power station model verification method based on quick response generator - Google Patents
Wind power plant/photovoltaic power station model verification method based on quick response generator Download PDFInfo
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- CN105989206A CN105989206A CN201510083192.1A CN201510083192A CN105989206A CN 105989206 A CN105989206 A CN 105989206A CN 201510083192 A CN201510083192 A CN 201510083192A CN 105989206 A CN105989206 A CN 105989206A
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- wind energy
- energy turbine
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The invention relates to a wind power plant/photovoltaic power station model verification method based on a quick response generator. The method comprises the following steps: acquiring a measured voltage value, a measured frequency value, a measured active power value and a measured reactive power value at a wind power plant/photovoltaic power station grid-connection point; realizing accurate equivalence of an external power grid by taking the measured voltage value and the measured frequency value as control reference values of an excitation and speed regulation system of the quick response generator; and acquiring an active power value and a reactive power value at the grid-connection point through digital simulation computing, comparing the acquired active power value and reactive power value with the measured active power value and reactive power value, proving that a wind power plant/photovoltaic power station model is accurate if the acquired active power value and reactive power value are consistent with the measured active power value and reactive power value, otherwise indicating an error. Along with further contraction of a measured equivalent point, the method can be used for positioning the specific position of an error source of the wind power plant/photovoltaic power station model.
Description
Technical field:
The present invention relates to electric power system model checking field, be more particularly to a kind of based on fast reaction generating
The wind energy turbine set of machine and photovoltaic plant model verification method.
Background technology:
Along with the scale of the new forms of energy such as wind-powered electricity generation, photovoltaic generation access electrical network constantly increases, its shadow to electrical network
Ring and get the attention and study.The accuracy of new energy power station model is to study itself and the mutual shadow of electrical network
The key factor rung, but solved the most very well.At present, for obtaining generation of electricity by new energy list accurately
Unit and the model parameter of station, the method for people's commonly used device context test, and need repeatedly to try
Test, then by adjusting the next continuous matching trial curve of model parameter.Equipment test can affect new forms of energy electricity
That stands is properly functioning, causes economic loss, and such modeling verification method is often served only for preferable list
, when for the interconnected electric power system of actual complex, there is modeling period length, entirety in machine Infinite bus system
Model complexity is error-prone, the model parameter uncertain factor of various element is many, can not get rid of actual electric network
The error of modeling affects, is difficult to the problems such as the source of location model error, poor effect.
In recent years, along with the fast development of the technology of measurement, particularly WAMS (WAMS) is no
Disconnected popularization and application, it is provided that target synchronized phasor when having unified so that be distributed in everywhere in large regional grid
Point can compare under same time scale, for Validation of Simulation Models research provide new approaches.
How to utilize the WAMS system measurement data of preciousness, set up the fault end of new energy power station access system
Mouth characteristic model, gets rid of the impact of the error being modeled electrical network, it is achieved to actual complex interconnecting electric power
The quick simulation modeling of system is verified, and the mixing injected based on WAMS system measured data is dynamically imitated
True method, progressively reduces the internal modeling error of new energy power station and carrys out the scope of source location, and then complete new energy
Power station, source and the modelling verification of inner member thereof, be the problem being worth further investigation.
Summary of the invention:
It is an object of the invention to provide a kind of wind energy turbine set based on fast reaction electromotor and photovoltaic plant mould
Type verification method, relies on measured data to carry out the most equivalent external electrical network, is prevented effectively from outside network system
The error of modeling.
For achieving the above object, the present invention is by the following technical solutions: wind based on fast reaction electromotor
Electric field and photovoltaic plant model verification method, including:
Measure the parameter of wind energy turbine set/photovoltaic electric station grid connection point；
Set up fast reaction electromotor, set up described generator excitation and governing system model；
Control reference value by system model described in described parameter determination；
Set up wind energy turbine set and photovoltaic plant access system model；
In described wind energy turbine set and photovoltaic plant access system model, simulate certain on-the-spot disturbance, obtain this and disturb
Described wind energy turbine set and the active power of photovoltaic electric station grid connection point and reactive power value under Dong；
Determine that described active power and reactive power value are respective with the active power of actual measurement and reactive power value
Departure；
Described wind energy turbine set and the accuracy of photovoltaic plant access system model is judged by described departure；
If described wind energy turbine set and photovoltaic plant access system model are inaccurate, then shrink actual measurement equivalence further
Point, position error is originated.
A kind of based on fast reaction electromotor the wind energy turbine set of present invention offer and photovoltaic plant modelling verification
Method, by wind energy turbine set and photovoltaic electric station grid connection point measurement to voltage and frequency values parameter be input to described sending out
In motor excitation and governing system model, control reference value as it.
A kind of based on fast reaction electromotor the wind energy turbine set of present invention offer and photovoltaic plant modelling verification side
Method, in wind energy turbine set and photovoltaic plant access system model, beyond itself and site, part fast reaction is sent out
Motor replaces.
Another a kind of wind energy turbine set based on fast reaction electromotor and photovoltaic electric that the present invention provides
Stand model verification method, if the absolute value of described deviation value is less than each self-corresponding actual measurement active power and nothing
The 5% of merit performance number, the then described wind energy turbine set set up and photovoltaic plant access system model are accurately；
If described departure absolute value is more than each self-corresponding actual measurement active power and the 5% of reactive power value, then
Described wind energy turbine set and the photovoltaic plant access system model set up are inaccurate.
A kind of another wind energy turbine set based on fast reaction electromotor of present invention offer and photovoltaic plant
Model verification method, if the wind energy turbine set of described foundation and photovoltaic plant access system model are inaccurate, according to
On-the-spot actual measurement, shrinks external electrical network equivalent point, replaces new equivalent point with fast reaction electromotor
Electric network model in addition, at position error source.
Another a kind of based on fast reaction electromotor the wind energy turbine set of present invention offer and photovoltaic electric
Standing model verification method, described on-the-spot disturbance includes short trouble disturbance.
Another a kind of based on fast reaction electromotor the wind energy turbine set of present invention offer and photovoltaic plant
Model verification method, described wind energy turbine set and photovoltaic plant access system model include wind energy turbine set and photovoltaic electric
Stand, booster transformer, circuit, step-down transformer and load.
Another a kind of based on fast reaction electromotor the wind energy turbine set of present invention offer and photovoltaic electric
Standing model verification method, described parameter includes voltage, frequency, active power and reactive power value.
Another a kind of based on fast reaction electromotor the wind energy turbine set of present invention offer and photovoltaic electric
Standing model verification method, described wind farm grid-connected point includes wind energy turbine set booster stations high-voltage side bus or node；
If described photovoltaic plant has booster stations, described photovoltaic electric station grid connection point to include booster stations high-voltage side bus or joint
Point；If photovoltaic plant includes the output aggregation point of photovoltaic plant without booster stations, described photovoltaic electric station grid connection point.
Comparing with immediate prior art, the present invention provides technical scheme to have a following excellent effect:
1, the technical scheme that the present invention provides relies on measured data to carry out the most equivalent external electrical network, effectively keeps away
Exempt from the error to outside network system modeling；
2, the technical scheme that the present invention provides uses voltage magnitude and frequency amplitude measured data, and it obtains
Difficulty is less than voltage phase angle, and typically also can meet the requirement of data synchronism；
3, the technical scheme that the present invention provides is equally applicable to not install phasor measuring set (PMU)
Occasion；
4, the technical scheme that the present invention provides reduces the impact properly functioning on power station, reduces economy and damages
Lose；
5, the technical scheme that the present invention provides possesses versatility, each unit of easy expanded application to power system
The Accuracy Verification of part model and error location problem, have a extensive future；
6, the technical scheme that the present invention provides is by controlling excitation and the governor system control reference of electromotor
Value comes equivalent external electrical network, clear physics conception, and simplicity is easy-to-use, it is simple to the electric power row of different knowledge hierarchies
Industrial engineering (IE) teacher and researcher are grasped and use.
Accompanying drawing explanation
Fig. 1 is the wind energy turbine set/photovoltaic plant access system example structural representation of the present invention；
Fig. 2 is the wind energy turbine set using fast reaction electromotor equivalence external electrical network and the photovoltaic electric of the present invention
Access system of standing structure chart；
Fig. 3 is the excitation system model schematic of the fast reaction electromotor of the present invention；
Fig. 4 is the governing system model schematic of the fast reaction electromotor of the present invention；
Fig. 5 is that the wind energy turbine set/photovoltaic electric station grid connection point voltage amplitude of the actual measurement of the present invention obtains with emulation
The comparison diagram of wind energy turbine set/photovoltaic electric station grid connection point voltage amplitude；
Fig. 6 is the wind energy turbine set/photovoltaic electric station grid connection dot frequency amplitude of the actual measurement of the present invention and emulates the wind obtained
The comparison diagram of electric field/photovoltaic electric station grid connection dot frequency amplitude.
Detailed description of the invention
Below in conjunction with embodiment, the invention will be described in further detail.
Embodiment 1:
As shown in figures 1 to 6, this example invention provide a kind of based on fast reaction electromotor wind energy turbine set and
Photovoltaic plant model verification method, comprises the following steps:
Step 1: measure the wind energy turbine set/voltage of photovoltaic electric station grid connection point, frequency, active power and idle merit
Rate value；
Step 2: set up fast reaction electromotor and excitation thereof and governing system model；
Step 3: wind energy turbine set/photovoltaic electric station grid connection point actual measurement voltage and frequency values are input to fast reaction and send out
In motor excitation and governing system model, control reference value as it；
Step 4: set up wind energy turbine set/photovoltaic plant access system model, wherein and partly use soon beyond site
Speed reaction electromotor replaces；
Step 5: simulate certain on-the-spot disturbance in power system digital simulation analyzes software, obtain this and disturb
The active power of dynamic lower wind energy turbine set/photovoltaic electric station grid connection point and reactive power value；
Step 6: the wind energy turbine set that step 5 is obtained/photovoltaic electric station grid connection point active power and reactive power value
Deduct active power and the reactive power value of actual measurement, obtain departure；
Step 7: the size of the departure that discriminating step 6 obtains, if its absolute value is less than actual measurement wattful power
Rate and the 5% of reactive power value, then it is assumed that the wind energy turbine set/light set up in power system digital simulation software
Overhead utility model is accurately；If departure absolute value is more than actual measurement active power and reactive power value
5%, then it is assumed that the wind energy turbine set/photovoltaic plant model set up in power system digital simulation software is inaccurate
True；
Step 8: if wind energy turbine set/photovoltaic plant model that the conclusion that step 7 obtains is set up is inaccurate,
External electrical network equivalent point can be shunk further according to on-the-spot actual measurement situation, generates electricity with fast reaction
Machine replaces the electric network model beyond new equivalent point, and repeats step 5-7, then can be at position error source.
In described step 1, wind energy turbine set booster stations high-voltage side bus or node are referred to for wind farm grid-connected point；
For photovoltaic electric station grid connection point, if photovoltaic plant has booster stations, refer to booster stations high-voltage side bus or node,
If photovoltaic plant is without booster stations, refer to the output aggregation point of photovoltaic plant.For the measurement data obtained, need
Will process it, treatment measures include filtering, data break and system emulation step-length unification etc..
Fast reaction generator model in described step 2 can use 2 rank or the 3 rank synchronous generators of classics
Machine model, excitation and governing system model can use the naive model in country/international standard, by arranging
The time constant of excitation and governing system is sufficiently small, makes synchronous generator possess quick control characteristic.
In described step 3, by wind energy turbine set/photovoltaic electric station grid connection point actual measurement voltage and frequency values input excitation and
In investigation model, can be according to the different function setting of simulation software, by reading containing a series of actual measurement electricity
The methods such as the file of pressure and frequency values realize.
In described step 4 wind energy turbine set/photovoltaic plant access system model generally comprise wind energy turbine set/photovoltaic plant,
Booster transformer, circuit, step-down transformer, load etc., can DIgSILENT PowerFactory,
The most conventional power system digital simulation such as PSS/E, PSASP, BPA is analyzed in software and is set up.
In described step 5, on-the-spot disturbance typically should include the relatively large disturbances such as short trouble.During system emulation,
The original state of trend distribution should be adjusted so that consistent with field measurement operating mode pre-fault status.
In described step 8, can be according to the abundant degree of on-the-spot actual measurement data, by constantly by outside
Network equivalence point shrinks, and repeats step 5-7 and is accurately positioned the source of wind energy turbine set/photovoltaic plant model error.
Wherein, the correlated variables implication of Fig. 4 and Fig. 5 is: Vt0_measured: the wind energy turbine set/photovoltaic electric of actual measurement
Stand grid-connected point voltage amplitude, Vt: the voltage magnitude of wind energy turbine set/photovoltaic electric station grid connection point, E in emulationfd: encourage
Magnetic magnitude of voltage, Efd0: the original steady state value of excitation voltage, Vs: power system stabilizer, PSS (PSS) defeated
Go out value, omega: the perunit value of generator speed, F0_measured: the perunit value of electromotor practical frequency value,
Cosr: power factor, Sr: apparent energy, pt: mechanical output.
Finally should be noted that: above example is only in order to illustrate technical scheme rather than to it
Limit, although those of ordinary skill in the field with reference to above-described embodiment it is understood that still can be right
The detailed description of the invention of the present invention is modified or equivalent, and these are without departing from present invention spirit and model
Any amendment enclosed or equivalent, the claims of the present invention all awaited the reply in application it
In.
Claims (9)
1. wind energy turbine set based on fast reaction electromotor and photovoltaic plant model verification method, it is characterised in that:
Including:
Measure the parameter of wind energy turbine set/photovoltaic electric station grid connection point；
Set up fast reaction electromotor, set up described generator excitation and governing system model；
Control reference value by system model described in described parameter determination；
Set up wind energy turbine set and photovoltaic plant access system model；
In described wind energy turbine set and photovoltaic plant access system model, simulate certain on-the-spot disturbance, obtain under this disturbance
Described wind energy turbine set and the active power of photovoltaic electric station grid connection point and reactive power value；
Determine that described active power and reactive power value are respective partially with the active power of actual measurement and reactive power value
Residual quantity；
Described wind energy turbine set and the accuracy of photovoltaic plant access system model is judged by described departure；
If described wind energy turbine set and photovoltaic plant access system model are inaccurate, then shrink actual measurement equivalent point further,
Position error is originated.
2. wind energy turbine set based on fast reaction electromotor as claimed in claim 1 and photovoltaic plant modelling verification
Method, it is characterised in that: the voltage and the frequency values parameter that wind energy turbine set and photovoltaic electric station grid connection point measurement are arrived are defeated
Enter in described generator excitation and governing system model, control reference value as it.
3. wind energy turbine set based on fast reaction electromotor as claimed in claim 1 and photovoltaic plant modelling verification
Method, it is characterised in that: in wind energy turbine set and photovoltaic plant access system model, part beyond itself and site
Replace with fast reaction electromotor.
4. wind energy turbine set based on fast reaction electromotor as claimed in claim 1 and photovoltaic plant modelling verification
Method, it is characterised in that: if the absolute value of described deviation value is less than each self-corresponding actual measurement active power and nothing
The 5% of merit performance number, the then described wind energy turbine set set up and photovoltaic plant access system model are accurately；If institute
State departure absolute value more than each self-corresponding actual measurement active power and the 5% of reactive power value, the then institute set up
State wind energy turbine set and photovoltaic plant access system model is inaccurate.
5. wind energy turbine set based on fast reaction electromotor as claimed in claim 4 and photovoltaic plant modelling verification
Method, it is characterised in that: if the wind energy turbine set of described foundation and photovoltaic plant access system model are inaccurate, root
According to on-the-spot actual measurement, external electrical network equivalent point is shunk, replaces new equivalent point with fast reaction electromotor
Electric network model in addition, at position error source.
6. wind energy turbine set based on fast reaction electromotor as claimed in claim 1 and photovoltaic plant modelling verification
Method, it is characterised in that: described on-the-spot disturbance includes short trouble disturbance.
7. the wind energy turbine set based on fast reaction electromotor as described in claim 1,4 or 5 and photovoltaic plant mould
Type verification method, it is characterised in that: described wind energy turbine set and photovoltaic plant access system model include wind energy turbine set and
Photovoltaic plant, booster transformer, circuit, step-down transformer and load.
8. wind energy turbine set based on fast reaction electromotor as claimed in claim 1 and photovoltaic plant modelling verification
Method, it is characterised in that: described parameter includes voltage, frequency, active power and reactive power value.
9. wind energy turbine set based on fast reaction electromotor as claimed in claim 1 and photovoltaic plant modelling verification
Method, it is characterised in that: described wind farm grid-connected point includes wind energy turbine set booster stations high-voltage side bus or node；
If described photovoltaic plant has booster stations, described photovoltaic electric station grid connection point to include booster stations high-voltage side bus or node；
If photovoltaic plant includes the output aggregation point of photovoltaic plant without booster stations, described photovoltaic electric station grid connection point.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107069808A (en) * | 2017-03-28 | 2017-08-18 | 中国电力科学研究院 | A kind of new energy power station model error localization method and device |
| CN108964122A (en) * | 2018-07-16 | 2018-12-07 | 中国电力科学研究院有限公司 | A kind of verification method and device of Wind turbines electrical model frequency response characteristic |
| CN110119570A (en) * | 2019-05-10 | 2019-08-13 | 东北电力大学 | A kind of farm model parameters validation method of measured data driving |
| CN111064234A (en) * | 2020-03-02 | 2020-04-24 | 张家口安智科为新能源有限公司 | Primary frequency modulation control method and system for new energy power station |
| CN114115191A (en) * | 2021-11-23 | 2022-03-01 | 国网冀北电力有限公司电力科学研究院 | Hardware-in-loop test method and device for power control system of flexible direct new energy station |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013143009A (en) * | 2012-01-11 | 2013-07-22 | Hitachi Ltd | Equipment state monitoring method and device using the same |
| CN103887815A (en) * | 2014-02-21 | 2014-06-25 | 华南理工大学 | Wind power plant parameter identification and dynamic equivalence method based on operation data |
| CN104242336A (en) * | 2014-07-14 | 2014-12-24 | 国家电网公司 | New energy power station equivalent modeling method based on interaction coefficient of power generating units |
-
2015
- 2015-02-15 CN CN201510083192.1A patent/CN105989206B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013143009A (en) * | 2012-01-11 | 2013-07-22 | Hitachi Ltd | Equipment state monitoring method and device using the same |
| CN103887815A (en) * | 2014-02-21 | 2014-06-25 | 华南理工大学 | Wind power plant parameter identification and dynamic equivalence method based on operation data |
| CN104242336A (en) * | 2014-07-14 | 2014-12-24 | 国家电网公司 | New energy power station equivalent modeling method based on interaction coefficient of power generating units |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107069808A (en) * | 2017-03-28 | 2017-08-18 | 中国电力科学研究院 | A kind of new energy power station model error localization method and device |
| CN108964122A (en) * | 2018-07-16 | 2018-12-07 | 中国电力科学研究院有限公司 | A kind of verification method and device of Wind turbines electrical model frequency response characteristic |
| CN108964122B (en) * | 2018-07-16 | 2021-01-15 | 中国电力科学研究院有限公司 | Verification method and device for frequency response characteristic of wind turbine generator electrical model |
| CN110119570A (en) * | 2019-05-10 | 2019-08-13 | 东北电力大学 | A kind of farm model parameters validation method of measured data driving |
| CN110119570B (en) * | 2019-05-10 | 2023-08-29 | 东北电力大学 | Actually measured data driven wind farm model parameter checking method |
| CN111064234A (en) * | 2020-03-02 | 2020-04-24 | 张家口安智科为新能源有限公司 | Primary frequency modulation control method and system for new energy power station |
| CN111064234B (en) * | 2020-03-02 | 2022-05-31 | 张家口安智科为新能源有限公司 | Primary frequency modulation control method and system for new energy power station |
| CN114115191A (en) * | 2021-11-23 | 2022-03-01 | 国网冀北电力有限公司电力科学研究院 | Hardware-in-loop test method and device for power control system of flexible direct new energy station |
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