CN108123477A - A kind of quasi- PR photovoltaic combining inverters control method of neutral net - Google Patents
A kind of quasi- PR photovoltaic combining inverters control method of neutral net Download PDFInfo
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- CN108123477A CN108123477A CN201611074106.1A CN201611074106A CN108123477A CN 108123477 A CN108123477 A CN 108123477A CN 201611074106 A CN201611074106 A CN 201611074106A CN 108123477 A CN108123477 A CN 108123477A
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- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000007935 neutral effect Effects 0.000 title claims abstract description 14
- 238000013528 artificial neural network Methods 0.000 claims abstract description 14
- 238000001914 filtration Methods 0.000 claims description 3
- 210000005036 nerve Anatomy 0.000 claims description 2
- 230000004069 differentiation Effects 0.000 abstract description 4
- 230000010354 integration Effects 0.000 abstract description 4
- 230000004044 response Effects 0.000 abstract description 3
- 230000035484 reaction time Effects 0.000 abstract description 2
- 230000003044 adaptive effect Effects 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
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- H02J3/383—
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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
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Abstract
The invention discloses a kind of quasi- PR photovoltaic combining inverters control method of neutral net, including single-phase full-bridge inverter, quasi- PR controllers, neural network parameter adjuster.Compared with quasi- PR is controlled, the current tracking total harmonic distortion factor based on BP neural network quasi- PR controls reduces the quasi- PR photovoltaic combining inverters control method of neutral net, dynamic response performance faster, system self-adaption degree higher.PR parameters after neural network tuned proportion integration differentiation are regarded as the globally optimal solution of control system, and whole system is made to have better self-adjusting ability and antijamming capability, and make output waveform quality higher, and faster, there is preferable application value in the reaction time.
Description
Technical field
The present invention relates to a kind of photovoltaic combining inverter more particularly to a kind of quasi- PR photovoltaic combining inverters controls of neutral net
Method processed.
Background technology
With the development of distributed photovoltaic grid-connected inverter system, more and more distributed generation systems and power grid phase
Even, for inverter as the core apparatus that photovoltaic battery array and power grid are connected in photovoltaic parallel in system, output voltage can be one
Determine to have an impact power grid in degree.Therefore with the development of photovoltaic parallel in system technology, the control requirement of inverter is also got over
Come higher.
Traditional linear control method such as proportional integral differential PID（proportion integration
differentiation）Control, Repetitive controller, Hysteresis control scheduling algorithm are simple, easy to implement, are widely used in single-phase grid-connected
Among inversion control, but while tracking sinusoidal reference signal, is not strong etc. there are the steady-state error of phase and amplitude, antijamming capability
Shortcoming.Track with zero error dynamic property is good, but needs to rely on the accurate mathematical model of controlled device, there is limitation using upper
Property.These linear control methods there are the shortcomings that seriously affected photovoltaic combining inverter output voltage precision.
Ratio resonance PR（proportional resonant）Steady-state error can be reduced by controlling, but PR controllers
Shortcoming is the gain very little at non-fundamental frequency.When mains frequency shifts, gain is decreased obviously, and cannot be had
Effect inhibits mains by harmonics.On the other hand, since photovoltaic DC-to-AC converter output terminal accesses power grid, make whole system that there is the non-thread of complexity
Property feature, therefore inverter is required to have stronger adaptive, self-adjusting ability.And the quasi- PR control parameters setting method of tradition
There is significant limitation.
The content of the invention
In order to which the quasi- PR control parameters setting method of tradition that overcomes is there are the problem of limitation, the present invention proposes a kind of nerve
The quasi- PR photovoltaic combining inverters control method of network.
The technical solution adopted by the present invention to solve the technical problems is：
Using BP neural network to the approximation capability of nonlinear function and the adaptive ability of height, to realize quasi- PR control parameters
Self-tuning System, while using BP neural network there is the ability of autonomous learning to make control system intelligent.The quasi- PR light of neutral net
Control method of grid-connected inverter is lied prostrate, including single-phase full-bridge inverter, quasi- PR controllers, neural network parameter adjuster.
The single-phase full-bridge inverter uses unipolar pulse width modulation (SPWM), controls four insulated gate bipolar crystal
Pipe IGBT, and pass through LC filter filterings, realize that you become function.
Current inner loop control of the quasi- PR controllers as inverter, is controlled using Unipolar SPWM.
The neural network parameter adjuster being capable of on-line study, the parameter of the quasi- PR controllers of adjustment.
The beneficial effects of the invention are as follows：The quasi- PR photovoltaic combining inverters control method of neutral net with quasi- PR control compared with,
Current tracking total harmonic distortion factor based on BP neural network quasi- PR controls reduces, dynamic response performance faster, system self-adaption
Degree higher.PR parameters after neural network tuned proportion integration differentiation are regarded as the globally optimal solution of control system, make whole system
With better self-adjusting ability and antijamming capability, and make output waveform quality higher, the reaction time faster, preferably should have
With value.
Description of the drawings
Fig. 1 single-phase full-bridge inverter system structures.
The quasi- PR control algolithms structures of Fig. 2.
The quasi- PR current inner loop controls block diagram of Fig. 3 neutral nets.
Specific embodiment
As shown in Figure 1, system uses unipolar pulse width modulation (SPWM)（sinusoidal pulse width
modulation）Mode, input terminal are solar-energy photo-voltaic cell, and the insulated gate bipolar of V1 ~ V4 is controlled by SPWM control signals
Transistor npn npn IGBT（insulated gate bipolar transistor）, by DC conversion be alternating current, output voltage
UAB accesses power grid by LC filter filterings and then by isolating transformer.It is declined using the high frequency of isolating transformer itself
Subtract characteristic, reduce the influence of load changing and short circuit to public electric wire net.System uses closed-loop current control strategy, and control targe is
Make output current with network voltage with the same phase of frequency.
As shown in Fig. 2, PR controls are a kind of control methods based on inner membrance control.PR controls are further improved form,
I.e. quasi- PR controls.PR controllers are in specific frequency w0The open-loop gain at place is infinitely great, so as to limit control signal and reference letter
Steady-state error between number.As the gain of the offset PR controllers of mains frequency can be decreased obviously, therefore PR controls inhibit electricity
The ability of net harmonic wave interference is limited.Quasi- PR controls gain at fundamental frequency, and for 50dB, Phase margin is infinitely great, therefore can be with
Realize the zero steady-state error to reference signal tracking.The advantages of quasi- PR controls remain PR controls, while by reducing part base
Gain at wave frequency rate increases control frequency range, reduces the influence that mains frequency fluctuation is brought, and has and stablizes well
Nargin.
As shown in figure 3, current inner loop control is the core control portions of inverter.The present invention adds in power grid electricity in output terminal
Press ug（s）As feedforward compensation, reduce influence of the network voltage to inverter output voltage.The quasi- PR controllers of neutral net include 2
A part：Quasi- PR controllers and neural network parameter adjuster.The output of each neuron of neutral net output layer corresponds to respectively
3 parameter K of quasi- PR controllersp、Kr、wc.According to current inverter output current ioutWith reference current irefError, pass through
On-line study adjusts the weight coefficient w between each layer neuronijAnd wjl, make neural network module output suitable for current state
Parameter value, and the parameter after neural network module is adjusted passes to quasi- PR controllers.Due to 3 parameters of quasi- PR controllers
Kp、Kr、wcProportional gain, peak gain and the cutoff frequency bandwidth demand of controller are determined respectively, by neural network tuned proportion integration differentiation
System can be made to reach current optimal state afterwards, therefore the dynamic response of electric current can be improved and further reduce grid-connected current
THD。
Claims (4)
1. a kind of quasi- PR photovoltaic combining inverters control method of neutral net, it is characterised in that：Including single-phase full-bridge inverter, standard
Three PR controllers, neural network parameter adjuster parts.
2. the quasi- PR photovoltaic combining inverters control method of neutral net as described in claim 1, it is characterised in that described single-phase
Full-bridge inverter uses unipolar pulse width modulation (SPWM), controls four insulated gate bipolar transistor IGBTs, and passes through LC
Filter filtering realizes that you become function.
3. the quasi- PR photovoltaic combining inverters control method of neutral net as described in claim 1, it is characterised in that the quasi- PR
Current inner loop control of the controller as inverter, is controlled using Unipolar SPWM.
4. the quasi- PR photovoltaic combining inverters control method of neutral net as described in claim 1, it is characterised in that the nerve
Network parameter adjuster being capable of on-line study, the parameter K of the quasi- PR controllers of adjustmentp、Kr、wc。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611074106.1A CN108123477A (en) | 2016-11-29 | 2016-11-29 | A kind of quasi- PR photovoltaic combining inverters control method of neutral net |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201611074106.1A CN108123477A (en) | 2016-11-29 | 2016-11-29 | A kind of quasi- PR photovoltaic combining inverters control method of neutral net |
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| CN108123477A true CN108123477A (en) | 2018-06-05 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109347147A (en) * | 2018-11-23 | 2019-02-15 | 华北水利水电大学 | The quasi- PR gird-connected inverter optimal control method of adaptive Harmonics elimination |
| CN110445390A (en) * | 2019-07-22 | 2019-11-12 | 南京航空航天大学 | Adapt to the LLC converter optimum state method for controlling trajectory of Fast Load mutation |
| CN111355257A (en) * | 2018-12-24 | 2020-06-30 | 哈尔滨工业大学 | Passive quasi-PR control method for photovoltaic grid-connected inverter under weak grid |
-
2016
- 2016-11-29 CN CN201611074106.1A patent/CN108123477A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109347147A (en) * | 2018-11-23 | 2019-02-15 | 华北水利水电大学 | The quasi- PR gird-connected inverter optimal control method of adaptive Harmonics elimination |
| CN111355257A (en) * | 2018-12-24 | 2020-06-30 | 哈尔滨工业大学 | Passive quasi-PR control method for photovoltaic grid-connected inverter under weak grid |
| CN110445390A (en) * | 2019-07-22 | 2019-11-12 | 南京航空航天大学 | Adapt to the LLC converter optimum state method for controlling trajectory of Fast Load mutation |
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