CN105406506A - Resonance suppression method and resonance adaptive control method and device based on resonance suppression method - Google Patents
Resonance suppression method and resonance adaptive control method and device based on resonance suppression method Download PDFInfo
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- CN105406506A CN105406506A CN201510890317.1A CN201510890317A CN105406506A CN 105406506 A CN105406506 A CN 105406506A CN 201510890317 A CN201510890317 A CN 201510890317A CN 105406506 A CN105406506 A CN 105406506A
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- combining inverter
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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
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The invention relates to a resonance suppression method. The resonance suppression method comprises the following steps of performing fussy control on a voltage of a power grid accessed by a photovoltaic grid-connected inverter and eliminating system resonance. A resonance adaptive control method based on the resonance suppression method comprises the following steps: judging whether the photovoltaic grid-connected inverter is under a resonant mode; if so, then adopting the resonance suppression method to eliminate the system resonance; if not, then adopting a PI double loop control method to control the voltage. A resonance adaptive control device comprises a judgment module used for judging whether the photovoltaic grid-connected inverter is under the resonant mode; a fussy control branch used for performing fussy control on the voltage of the power grid to eliminate the system resonance; and a conventional grid-connected branch used for performing conventional grid-connected control on the voltage of the power grid. The scheme of the invention can automatically distinguish whether a grid-connected system is resonant and use different control strategies, which can not only guarantee an output characteristic under a normal grid-connected condition, but can also guarantee the stability of the system under a high-impedance state and other resonant states.
Description
Technical field
The invention belongs to field of photovoltaic power generation, be specifically related to be applied to photovoltaic DC-to-AC converter in the situations such as electrical network high impedance or multi-machine parallel connection, produce method and apparatus in the occasion of resonance.
Background technology
For photovoltaic combining inverter, resonance is problem demanding prompt solution, and the generation of resonance easily causes inverter off-grid, and then causes great economic loss.Photovoltaic combining inverter resonance is roughly caused by two kinds of situations: the first situation is, high impedance is there is in inverter to power network line, LCL network is formed with the filter inductance of inverter own and electric capacity, when the high order harmonic component contained in the output current of inverter is just in time identical with this LCL network resonant frequency, will resonance be produced, thus result in the concussion of line voltage.This resonance is encountered the occasion in the cleaner large-scale ground power station of electrical network is more difficult, and distributed low-pressure grid-connection occasion is complicated due to local loading condition, just may occur time larger containing higher harmonic content in electrical network.When the second situation is the work of inverter multi-machine parallel connection, it exports the multimachine resonance that grid-connected end has had common impedance to cause between shunt chopper.In parallel system, when the output current of a wherein inverter contains harmonic wave, this harmonic component will produce harmonic wave pressure drop on loop, and the grid-connected terminal voltage of other inverters of impact parallel connection, when this voltage harmonic and inverter control frequency close to time, just likely cause multi-machine parallel connection resonance.Therefore, more easily there is this resonance in centralized inverter in parallel.
The method of existing solution resonance has passive damped method, APF etc., and they temporarily can suppress resonance problems, but it adds cost undoubtedly, and with sacrificial system efficiency, loss energy output is cost.Moreover consider the polytropy of electric network impedance, the capacity of residing electrical network is different, region difference causes itself otherness very large, the number of units of each system grid connection invertor operation also be not quite similar.Therefore, grid-connected resonance phenomena is caused to have certain randomness.
Therefore prior art may affect inverter filtering performance on the one hand, also system loss can be increased on the other hand, reduce system effectiveness, and suppress harmonic technology often to sacrifice the output characteristic of inverter for cost, the friendly of electrical network cannot be ensured in normal grid-connected situation.Therefore prior art cannot meet the grid-connected requirement of all types of electrical network simultaneously.
Summary of the invention
The object of this invention is to provide a kind of output characteristic both ensured in normal grid-connected situation, can ensure again the stability of system under the resonance conditions such as high impedance resonance suppressing method and based on the resonance self-adaptation control method of this resonance suppressing method and device.
For achieving the above object, the technical solution used in the present invention is:
A kind of resonance suppressing method, is applied to suppress the resonance of its grid-connected generation in photovoltaic combining inverter, described resonance suppressing method for: the voltage be connected to the grid to described photovoltaic combining inverter carries out fuzzy control and eliminates system resonance.
The algorithm of the described fuzzy control adopted is conciliate fuzzy program three part by obfuscation program, fuzzy reasoning program and is formed, the resonance sampled voltage obtain the voltage that is connected to the grid based on described photovoltaic combining inverter and the error amount of setting voltage are as the input variable of described fuzzy control, utilize fuzzy subset and, obtain the degree of membership that described input variable is relative, according to its result queries fuzzy control table, after being converted to precise volume, for the controlled device of described fuzzy control.
Preferably, the voltage be connected to the grid to described photovoltaic combining inverter is sampled and Fourier analysis and determine described photovoltaic combining inverter when being in mode of resonance, adopts described resonance suppressing method.
A kind of resonance self-adaptation control method based on above-mentioned resonance suppressing method, for: differentiate whether described photovoltaic combining inverter is in mode of resonance, if so, then adopt described resonance suppressing method to eliminate system resonance, if not, then conventional control methods is adopted to control described voltage.
Preferably, the voltage be connected to the grid to described photovoltaic combining inverter is sampled and Fourier analysis and differentiate whether described photovoltaic combining inverter is in mode of resonance.
The algorithm of the described fuzzy control adopted is conciliate fuzzy program three part by obfuscation program, fuzzy reasoning program and is formed, the resonance sampled voltage obtain the voltage that is connected to the grid based on described photovoltaic combining inverter and the error amount of setting voltage are as the input variable of described fuzzy control, utilize fuzzy subset and, obtain the degree of membership that described input variable is relative, according to its result queries fuzzy control table, after being converted to precise volume, for the controlled device of described fuzzy control.
A kind of resonance adaptive controller comprises the described photovoltaic combining inverter of differentiation and whether is in mode of resonance and the discrimination module of output adaptive pattern discrimination signal, the voltage that described photovoltaic combining inverter is connected to the grid is carried out to fuzzy control and eliminates the fuzzy control branch road of system resonance, the voltage be connected to the grid to described photovoltaic combining inverter carries out the grid-connected branch road of routine of conventional cutting-in control, described fuzzy control branch road, described routine grid-connected branch road phase and connect and with the voltage of described electrical network, described discrimination module is connected, described fuzzy control branch road, the grid-connected branch road of described routine controls the voltage of described electrical network according to described adaptive model judgment signal.
Preferably, described discrimination module is sampled and the FFT module of Fourier analysis for the voltage be connected to the grid to described photovoltaic combining inverter, and described fuzzy control branch road, the grid-connected branch road of described routine are connected with the voltage of described electrical network by described discrimination module.
Preferably, the voltage that described fuzzy control branch road comprises described photovoltaic combining inverter is connected to the grid carries out fuzzy control and eliminates the fuzzy control model of system resonance.
Preferably, the grid-connected branch road of described routine is PI double-loop control branch road.
Because technique scheme is used, the present invention compared with prior art has following advantages:
1, resonance suppressing method of the present invention had both ensured the output characteristic in normal grid-connected situation, can ensure again the stability of system under the resonance conditions such as high impedance;
2, whether resonance self-adaptation control method of the present invention and device energy automatic identification grid-connected system there is resonance, and use different control strategies, both the output characteristic in normal grid-connected situation had been ensured, the stability of system under the resonance conditions such as high impedance can be ensured again, overcome the shortcoming that resonance Restrainable algorithms cannot ensure electrical network friendly under normal grid conditions.
Accompanying drawing explanation
Accompanying drawing 1 is the block diagram of resonance adaptive controller of the present invention.
Accompanying drawing 2 is the experimental waveform figure of resonance adaptive controller of the present invention.
Embodiment
Below in conjunction with embodiment shown in the drawings, the invention will be further described.
A kind of be applied in photovoltaic combining inverter with the resonance suppressing method that the resonance of its grid-connected generation is suppressed for: the voltage that photovoltaic combining inverter is connected to the grid is carried out to fuzzy control and eliminates system resonance.Concrete, first, differentiate whether photovoltaic combining inverter is in mode of resonance, because resonance can cause the concussion of line voltage, so by differentiating whether line voltage shakes namely whether can be in resonance condition by distinguishing system, therefore the voltage that photovoltaic combining inverter is connected to the grid is sampled and Fourier analysis, if it is too high to parse voltage high frequency components content, be then determined as mode of resonance.Now, start fuzzy control, the algorithm of the fuzzy control adopted is conciliate fuzzy program three part by obfuscation program, fuzzy reasoning program and is formed, the resonance sampled voltage obtain the voltage that is connected to the grid based on photovoltaic combining inverter and the error amount of setting voltage are as the input variable of fuzzy control, utilize fuzzy subset and, obtain the degree of membership that input variable is relative, according to its result queries fuzzy control table, after being converted to precise volume, for the controlled device of fuzzy control, i.e. grid-connected voltage, thus good suppression resonance.
Usually, whether the voltage be connected to the grid to photovoltaic combining inverter is that mode of resonance is among change, therefore, needs a kind of resonance self-adaptation control method based on above-mentioned resonance suppressing method.This resonance self-adaptation control method for: differentiate whether the voltage that is connected to the grid of photovoltaic combining inverter is in mode of resonance, if so, then adopt resonance suppressing method to eliminate system resonance, if not, then adopt conventional control methods control voltage.Here, the voltage be connected to the grid to photovoltaic combining inverter is sampled and Fourier analysis and differentiate whether photovoltaic combining inverter is in mode of resonance, if parse voltage high frequency components content too high (radio-frequency component content can be arranged and judge value range), then be determined as mode of resonance, then adopt above-mentioned fuzzy control method to eliminate system resonance; If voltage high frequency components content is less, be not then in mode of resonance, then the voltage be connected to the grid to photovoltaic combining inverter carries out conventional control (as PI double-loop control).
As shown in Figure 1, it comprises discrimination module, fuzzy control branch road, conventional grid-connected branch road to a kind of resonance adaptive controller.Whether discrimination module is in mode of resonance and output adaptive pattern discrimination signal for differentiating photovoltaic combining inverter, here the voltage be connected to the grid to photovoltaic combining inverter is adopted to sample and the FFT module of Fourier analysis, by to the sampling of voltage and Fourier analysis, the number namely by radio-frequency component judges whether be in resonance condition.Fuzzy control branch road, conventional grid-connected branch road phase connect and be connected with the voltage of electrical network by discrimination module, thus start work according to the adaptive model judgment signal that discrimination module exports, the voltage of electrical network is controlled.Fuzzy control branch road is used for the voltage that is connected to the grid to photovoltaic combining inverter when resonance condition to carry out fuzzy control and eliminates system resonance, and it comprises the voltage be connected to the grid to photovoltaic combining inverter and carries out fuzzy control and eliminate the fuzzy control model of system resonance.Conventional grid-connected branch road is used for carrying out conventional cutting-in control when non-resonant condition to the voltage that photovoltaic combining inverter is connected to the grid, and it adopts conventional PI double-loop control branch road to realize PI double-loop control.
Use the combining inverter of a 3kw, and think and between electrical network and inverter, to have connected the inductance of 1mh as high impedance situation.Fig. 2 is the experimental waveform of the program, and passage 1 is adaptive model judgment signal, and passage 2 is inverter output current, and passage 4 is line voltage.After grid-connected, occur resonance trend immediately, now adaptive model judgment signal upset, system adopts and suppresses resonance control program, and resonance is suppressed immediately.Through kinds of experiments condition test, this technology has good application under grid condition complicated and changeable.
This programme overcomes the shortcoming that resonance Restrainable algorithms cannot ensure electrical network friendly under normal grid conditions, whether it can there is resonance by automatic identification grid-connected system, and use different control strategies, both ensured the output characteristic in normal grid-connected situation, the stability of system under the resonance conditions such as high impedance can have been ensured again.
Above-described embodiment, only for technical conceive of the present invention and feature are described, its object is to person skilled in the art can be understood content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalences done according to Spirit Essence of the present invention change or modify, and all should be encompassed within protection scope of the present invention.
Claims (10)
1. a resonance suppressing method, to be applied in photovoltaic combining inverter to suppress the resonance of its grid-connected generation, to it is characterized in that: described resonance suppressing method for: the voltage that described photovoltaic combining inverter is connected to the grid is carried out to fuzzy control and eliminates system resonance.
2. resonance suppressing method according to claim 1, it is characterized in that: the algorithm of the described fuzzy control of employing is conciliate fuzzy program three part by obfuscation program, fuzzy reasoning program and formed, the resonance sampled voltage obtain the voltage that is connected to the grid based on described photovoltaic combining inverter and the error amount of setting voltage are as the input variable of described fuzzy control, utilize fuzzy subset and, obtain the degree of membership that described input variable is relative, according to its result queries fuzzy control table, after being converted to precise volume, for the controlled device of described fuzzy control.
3. resonance suppressing method according to claim 1, it is characterized in that: the voltage be connected to the grid to described photovoltaic combining inverter is sampled and Fourier analysis and determine described photovoltaic combining inverter when being in mode of resonance, adopts described resonance suppressing method.
4. the resonance self-adaptation control method based on resonance suppressing method according to claim 1, it is characterized in that: described resonance self-adaptation control method is: differentiate whether described photovoltaic combining inverter is in mode of resonance, if, described resonance suppressing method is then adopted to eliminate system resonance, if not, then conventional control methods is adopted to control described voltage.
5. resonance self-adaptation control method according to claim 4, is characterized in that: the voltage be connected to the grid to described photovoltaic combining inverter is sampled and Fourier analysis and differentiate whether described photovoltaic combining inverter is in mode of resonance.
6. the resonance self-adaptation control method according to claim 4 or 5, it is characterized in that: the algorithm of the described fuzzy control of employing is by obfuscation program, fuzzy reasoning program conciliates fuzzy program three part composition, the resonance sampled voltage obtain the voltage that is connected to the grid based on described photovoltaic combining inverter and the error amount of setting voltage are as the input variable of described fuzzy control, utilize fuzzy subset and, obtain the degree of membership that described input variable is relative, according to its result queries fuzzy control table, after being converted to precise volume, for the controlled device of described fuzzy control.
7. the resonance adaptive controller based on resonance suppressing method according to claim 1, it is characterized in that: described resonance adaptive controller comprises the described photovoltaic combining inverter of differentiation and whether is in mode of resonance and the discrimination module of output adaptive pattern discrimination signal, the voltage that described photovoltaic combining inverter is connected to the grid is carried out to fuzzy control and eliminates the fuzzy control branch road of system resonance, the voltage be connected to the grid to described photovoltaic combining inverter carries out the grid-connected branch road of routine of conventional cutting-in control, described fuzzy control branch road, described routine grid-connected branch road phase and connect and with the voltage of described electrical network, described discrimination module is connected, described fuzzy control branch road, the grid-connected branch road of described routine controls the voltage of described electrical network according to described adaptive model judgment signal.
8. resonance adaptive controller according to claim 7, it is characterized in that: described discrimination module is sampled and the FFT module of Fourier analysis for the voltage be connected to the grid to described photovoltaic combining inverter, and described fuzzy control branch road, the grid-connected branch road of described routine are connected with the voltage of described electrical network by described discrimination module.
9. resonance adaptive controller according to claim 7, is characterized in that: the voltage that described fuzzy control branch road comprises described photovoltaic combining inverter is connected to the grid carries out fuzzy control and eliminates the fuzzy control model of system resonance.
10. resonance adaptive controller according to claim 7, is characterized in that: the grid-connected branch road of described routine is PI double-loop control branch road.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115133552A (en) * | 2022-07-07 | 2022-09-30 | 合肥工业大学 | Real-time self-adaptive resonance suppression method for multi-inverter grid-connected system |
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| CN103956769A (en) * | 2014-04-08 | 2014-07-30 | 华中科技大学 | Method for controlling grid-connected inverter of micro grid based on fuzzy PI algorithm |
| WO2015076491A1 (en) * | 2013-11-22 | 2015-05-28 | 한국전기연구원 | Method for automatically controlling power generation considering power transmission limit |
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| CN103475018A (en) * | 2012-06-07 | 2013-12-25 | 北京能高自动化技术股份有限公司 | Adaptive grid-connected inverter control method based on dynamic power grid resonant frequency identification |
| WO2015076491A1 (en) * | 2013-11-22 | 2015-05-28 | 한국전기연구원 | Method for automatically controlling power generation considering power transmission limit |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115133552A (en) * | 2022-07-07 | 2022-09-30 | 合肥工业大学 | Real-time self-adaptive resonance suppression method for multi-inverter grid-connected system |
| CN115133552B (en) * | 2022-07-07 | 2024-04-12 | 合肥工业大学 | Real-time adaptive suppression method for resonance of multi-inverter grid-connected system |
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Application publication date: 20160316 |