CN105958854B - The SHEPWM control systems and method of multi-electrical level inverter - Google Patents
The SHEPWM control systems and method of multi-electrical level inverter Download PDFInfo
- Publication number
- CN105958854B CN105958854B CN201610463049.XA CN201610463049A CN105958854B CN 105958854 B CN105958854 B CN 105958854B CN 201610463049 A CN201610463049 A CN 201610463049A CN 105958854 B CN105958854 B CN 105958854B
- Authority
- CN
- China
- Prior art keywords
- inverter
- formula
- shepwm
- feet
- circuit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 241000894006 Bacteria Species 0.000 claims abstract description 17
- 238000005070 sampling Methods 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 12
- 238000013461 design Methods 0.000 claims description 18
- 239000002245 particle Substances 0.000 claims description 18
- 230000006870 function Effects 0.000 claims description 13
- 238000001514 detection method Methods 0.000 claims description 10
- 230000036541 health Effects 0.000 claims description 9
- 230000008030 elimination Effects 0.000 claims description 8
- 238000003379 elimination reaction Methods 0.000 claims description 8
- 230000035772 mutation Effects 0.000 claims description 7
- 238000012546 transfer Methods 0.000 claims description 7
- 230000006978 adaptation Effects 0.000 claims description 5
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 4
- 230000005611 electricity Effects 0.000 claims description 4
- 230000001149 cognitive effect Effects 0.000 claims description 3
- 238000002955 isolation Methods 0.000 claims description 3
- 230000013016 learning Effects 0.000 claims description 3
- 230000006386 memory function Effects 0.000 claims description 3
- 230000009326 social learning Effects 0.000 claims description 3
- 230000019771 cognition Effects 0.000 claims description 2
- 238000005457 optimization Methods 0.000 abstract description 16
- 235000013305 food Nutrition 0.000 abstract description 15
- 238000005516 engineering process Methods 0.000 abstract description 10
- 238000010586 diagram Methods 0.000 description 6
- 230000002776 aggregation Effects 0.000 description 5
- 238000004220 aggregation Methods 0.000 description 5
- 230000003321 amplification Effects 0.000 description 5
- 238000003199 nucleic acid amplification method Methods 0.000 description 5
- 241000196324 Embryophyta Species 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000002093 peripheral effect Effects 0.000 description 3
- 230000001580 bacterial effect Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 230000002431 foraging effect Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241000208340 Araliaceae Species 0.000 description 1
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 1
- 235000003140 Panax quinquefolius Nutrition 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 235000008434 ginseng Nutrition 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000007935 neutral effect Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000002028 premature Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000000844 transformation Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M7/00—Conversion of ac power input into dc power output; Conversion of dc power input into ac power output
- H02M7/42—Conversion of dc power input into ac power output without possibility of reversal
- H02M7/44—Conversion of dc power input into ac power output without possibility of reversal by static converters
- H02M7/48—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode
- H02M7/53—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal
- H02M7/537—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters
- H02M7/5387—Conversion of dc power input into ac power output without possibility of reversal by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only, e.g. single switched pulse inverters in a bridge configuration
-
- H02J3/383—
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M1/00—Details of apparatus for conversion
- H02M1/12—Arrangements for reducing harmonics from ac input or output
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Inverter Devices (AREA)
Abstract
The SHEPWM control systems and method of multi-electrical level inverter belong to the SHEPWM control systems and method of inverter technology field more particularly to a kind of multi-electrical level inverter.The present invention using population bacterium look for food optimization algorithm (PSO BFO) realize multi-electrical level inverter SHEPWM technologies, switching angle is accurately found out while ensureing output waveform realizes that particular harmonic is eliminated, reach simplified operation flow, reduces the purpose for calculating the time.The SHEPWM control systems of multi-electrical level inverter of the present invention include DPS processing circuits, voltage sampling circuit, isolated drive circuit, switching power circuit and voltage sensor, its structural feature voltage sensor, voltage sampling circuit, DPS processing circuits, isolated drive circuit are sequentially connected, and the output port of isolated drive circuit is connected with the control port of the switching device of T-type three-level photovoltaic grid-connected inverter.
Description
Technical field
The invention belongs to the SHEPWM control systems and side of inverter technology field more particularly to a kind of multi-electrical level inverter
Method.
Background technology
Development of Power Electronic Technology is swift and violent in recent years, and multi-electrical level inverter has obtained increasingly in high voltage large capcity field
More attention.Multi-electrical level inverter has the advantages that percent harmonic distortion is low, energy conversion efficiency is high, and output voltage is high, power
Greatly, transformer need not be exported to be assisted, therefore is much applied in high-power occasion.Due to grid side electric current and
Voltage waveform is easy to be affected, and most of load is in non-linear, it is easy to cause fundamental current to distort, generated harmonic wave
The stable operation of meeting jamming equipment so that the scrappage of equipment or part increases, and can bring larger economic loss.How is research
The unwanted harmonics for inhibiting and eliminating in power grid seem significant.Up to the present, harmonic elimination technology can be divided into many kinds.Wherein,
By the improvement to inverter topology, harmonic elimination can be realized by building multiple inverter circuit, but circuit structure is more complex, cost
Height can also cause other problems.It can effectively inhibit harmonic wave interference by introducing electrical energy quality compensator, but to systematic parameter
Setting requirements are higher, design stability that is unreasonable or even can influencing system.It is raw by controlling the turn-on and turn-off of switching device
At specific staircase waveform, it can achieve the purpose that eliminate and specify low frequency subharmonic, preferable effect can be played to harmonic elimination.SHEPWM skills
Art has many advantages, such as that switching frequency is low, switching loss is small, output waveform is high-quality, inversion efficiency is high, output filter size is small,
Therefore of increased attention.The aggregation behaviour of bacterial foraging algorithm is introduced using particle cluster algorithm as a mutation operator
In work, propose that a kind of population-bacterium of mixing is looked for food optimization algorithm.Its basic thought is:It is first completed by particle cluster algorithm complete
The search in office space, the optimal information of memory individual and group regard each particle as bacterium, then are looked for food calculation by bacterium
The trend and aggregation operator of method complete the function of local search, while improving bacterial foraging algorithm ability of searching optimum with this,
The local search ability of particle cluster algorithm is improved again.The advantages of hybrid algorithm is that algorithm flow is simple, is not required initial value, ginseng
Number is succinct, it is easy to accomplish, it is without any requirement to the continuity of optimization problem without complicated search adjustment.
Invention content
The present invention addresses the above problem, and more level are realized using population-bacterium optimization algorithm (PSO-BFO) of looking for food
The SHEPWM technologies of inverter accurately find out switching angle while ensureing output waveform and realize that particular harmonic is eliminated, reach
Simplify operation flow, reduces the purpose for calculating the time.
To achieve the above object, the present invention adopts the following technical scheme that, the SHEPWM controls of multi-electrical level inverter of the present invention
System includes DPS processing circuits, voltage sampling circuit, isolated drive circuit, switching power circuit and voltage sensor, structure
Voltage sensor, voltage sampling circuit, DPS processing circuits, isolated drive circuit is put to be sequentially connected, isolated drive circuit it is defeated
Exit port is connected with the control port of the switching device of T-type three-level photovoltaic grid-connected inverter；The input port of voltage sensor
It is connected with the output port of T-type three-level photovoltaic grid-connected inverter；The output port of switching power circuit is electric with DPS processing respectively
Road power port, voltage sampling circuit power port, isolated drive circuit power port are connected.
As a preferred embodiment, voltage sampling circuit of the present invention uses OPA4376 chips U5, DPS processing circuit
3 feet using TMS320F283XXPGF chips U3, U5 are that detection three-level photovoltaic grid-connected inverter exports the ports U-, 2 feet of U5
The ports U+ are exported for detection three-level photovoltaic grid-connected inverter, 1 foot of U5 is connected with 42 feet of U3；
5 feet of U5 are that detection three-level photovoltaic grid-connected inverter exports the ports V-, and 6 feet of U5 are to detect three level photovoltaics simultaneously
Net inverter exports the ports V+, and 7 feet of U5 are connected with 46 feet of U3.
As another preferred embodiment, switching power circuit of the present invention uses UC28C45 chips.
In addition, isolated drive circuit of the present invention using 7800A optocouplers U10, U11, U13, U14, U15, U16, U17,
2 feet of U18, U19, U20, U11 are connected with the collector of NPN triode Q3,3.3V power supplys respectively, the base stage of Q3 and 5 feet of U3
It is connected, the emitter of Q3 is connected with 3 feet of ground wire, U11 respectively, and 7 feet of U11 are U1 control terminals；
2 feet of U10 are connected with the collector of NPN triode Q2,3.3V power supplys respectively, and the base stage of Q2 is connected with 6 feet of U3,
The emitter of Q2 is connected with 3 feet of ground wire, U10 respectively, and 7 feet of U10 are U2 control terminals；
2 feet of U14 are connected with the collector of NPN triode Q6,3.3V power supplys respectively, the base stage of Q6 and the 11 foot phases of U3
Even, the emitter of Q6 is connected with 3 feet of ground wire, U14 respectively, and 7 feet of U14 are V1 control terminals；
2 feet of U13 are connected with the collector of NPN triode Q5,3.3V power supplys respectively, the base stage of Q5 and the 12 foot phases of U3
Even, the emitter of Q5 is connected with 3 feet of ground wire, U13 respectively, and 7 feet of U13 are V2 control terminals；
2 feet of U16 are connected with the collector of NPN triode Q8,3.3V power supplys respectively, the base stage of Q8 and the 13 foot phases of U3
Even, the emitter of Q8 is connected with 3 feet of ground wire, U16 respectively, and 7 feet of U16 are V3 control terminals；
2 feet of U17 are connected with the collector of NPN triode Q9,3.3V power supplys respectively, the base stage of Q9 and the 16 foot phases of U3
Even, the emitter of Q9 is connected with 3 feet of ground wire, U17 respectively, and 7 feet of U17 are V4 control terminals；
2 feet of U15 are connected with the collector of NPN triode Q7,3.3V power supplys respectively, the base stage of Q7 and the 17 foot phases of U3
Even, the emitter of Q7 is connected with 3 feet of ground wire, U15 respectively, and 7 feet of U15 are W1 control terminals；
2 feet of U18 are connected with the collector of NPN triode Q1 0,3.3V power supplys respectively, the base stage of Q10 and the 18 foot phases of U3
Even, the emitter of Q10 is connected with 3 feet of ground wire, U18 respectively, and 7 feet of U18 are W2 control terminals；
2 feet of U20 are connected with the collector of NPN triode Q1 2,3.3V power supplys respectively, the base stage of Q12 and the 19 foot phases of U3
Even, the emitter of Q12 is connected with 3 feet of ground wire, U20 respectively, and 7 feet of U20 are W3 control terminals；
2 feet of U19 are connected with the collector of NPN triode Q1 1,3.3V power supplys respectively, the base stage of Q11 and the 20 foot phases of U3
Even, the emitter of Q11 is connected with 3 feet of ground wire, U19 respectively, and 7 feet of U19 are W4 control terminals.
The SHEPWM control methods of multi-electrical level inverter of the present invention include with lower part：
1, the SHEPWM eliminations of T-type three-level photovoltaic grid-connected inverter, T-type three-level inverter single-phase output are established
Voltage waveform is indicated by Fourier space：
U0(t)=∑ [Ansin(nωt)+Bncos(nωt)] (1)
Wherein
In formula, U0For inverter output voltage；An、BnFor amplitude；ω
For angular frequency；
SHEPWM waveforms have the mirror symmetry of positive and negative two half period, DC component, cosine component and the even of the series
Sinusoidal component is all zero, only contains odd sine term harmonic wave；Then：
In formula, UdFor inverter direct-flow side supply voltage value；N is the switching angle number that is taken within 1/4 period；αkIt is N number of
K-th of switching angle in switching angle；
Selected fundamental wave indicates with q, then B1=q；It is zero to enable remaining n-1 low order higher hamonic wave amplitude again,
Then：Bn=0 n=1,3,5,7 ... (5)
If fundamental modulation degreeIf eliminating 5,7,11,13 ..., 6i-1,6i+1 ..., (M is M subharmonic
Can school district highest subharmonic number), obtain：
In formula, Usm(1)For fundamental wave；
SHEPWM controls calculate the α values met the requirements in formula (6) according to different m values with algorithm；Required solution
It is a Nonlinear and transcendental equations, it has N number of different solution, i.e. α1,α2,…,αN-1,αN, 5,7,11,13 subharmonic are eliminated,
Formula (6) is transformed to by then N=5
It minimizes multi-objective problem and is unified into a single-objective problem, and as object function：
Design function fitness is
Speed and location updating equation in PSO algorithms are
I=1,2 ..., m；D=1,2 ..., D；K is iterations；rand1,rand2It is the random number between [0,1]；ω
For inertia weight；c1For the cognitive learning factor；c2For social learning's factor；Pdest is personal best particle；Gbest is entire group
The optimal location of body；
PSO algorithms are introduced into as mutation operator in BFO algorithms, eliminate the individual cognition in formula (10) speed more new algorithm
Social recognition part, the i.e. shared part of community information is used only in part, such as formula (12)；Meanwhile it will be obtained by PSO mutation operators
To community information be added in location updating equation, such as formula (13)；BFO algorithms are improved using the memory function of PSO algorithms
Ability of searching optimum and search efficiency；
The particle rapidity of PSO more new formula is
Location update formula is
Wherein j indicates that jth time individual in population tends to operation, and k indicates that kth time individual in population replicates operation, l tables
Show individual in population；θi(j, k, l) indicates that the individual in population executes the operation of jth time trend again, kth time replicates operation, l
Position after secondary Transfer free energy；
Formula (12) and (13) more novel bacteria position are pressed by introducing PSO variations in BFO algorithms, calculates new adaptation
Value, the i.e. switching angle of SHEPWM controls；
2, it follows the steps below：
(1) system initialization determines constant parameter；
(2) speed of random initializtion population and position；According to the constraints of formula (8), it is feasible to randomly generate a group
Solve α1,α2,…,αs, wherein the speed comprising each particle and position；
(3) determine that solution space isTransfer free energy cycle is carried out, each particle is with probability PedIt is randomly distributed
In solution space；
(4) it executes and replicates operation, define health degree functionIt is relatively low to eliminate half health degree
, and it is higher to replicate the other half health degree；
(5) it executes and tends to operationOne of Δ random direction
Unit vector；
(6) consider that the repulsion and gravitation between bacterium, the adaptation value function J (i, j, k, l) for calculating bacterium i enable Jlast=J (i,
j,k,l)；
(7) optimal location is searched in bacterium overturning, while by the position θ of formula (12) and (13) update florai(j+1,k,
L), and the adaptive value J (i, j+1, k, l) of flora is calculated；
J (i, j+1, k, l)=J (i, j, k, l)+Jcc(θi(j+1, k, l), P (j+1, k, l)), judgement and JlastSize
And update JlastValue；
(8) judge whether to reach maximum cycle, be to export optimum switch angle, otherwise recycled；
(9) the new on off state driving Three-Level Inverter System of application realizes SHEPWM controls.
Advantageous effect of the present invention.
The present invention is directed to the characteristics of T-type three-level photovoltaic grid-connected inverter, looks for food to optimize using a kind of population-bacterium and calculate
The method that method realizes the SHEPWM controls of T-type three-level photovoltaic grid-connected inverter, the harmonic carcellation mould based on a T-type inverter
Type determines a relational expression for seeking switching angle, looked for food using bacterium-PSO Algorithm SHEPWM technologies in switching angle,
Initial value is not required, algorithm flow is simple, without complicated search adjustment, does not require the continuity of optimization problem, comes
Simplify the calculating process of SHEPWM, realizes that particular harmonic eliminates control method.
Description of the drawings
The present invention will be further described with reference to the accompanying drawings and detailed description.The scope of the present invention not only limits to
In the statement of the following contents.
Fig. 1 is the T-type three-level photovoltaic grid-connected inverter schematic diagram that the present invention designs.
Fig. 2 is inverter phase voltage SHEPWM model schematics.
Fig. 3 is the system control block figure of the T-type three-level inverter designed by the present invention.
Fig. 4 is that population-bacterium for designing of the present invention is looked for food optimization algorithm functional block diagram.
Fig. 5 is that population-bacterium in design method of the present invention is looked for food optimization algorithm flow chart.
Fig. 6 is the hardware circuit diagram of the photovoltaic combining inverter SHEPWM controls designed by the present invention.
Fig. 7 is the UV phase voltage detection circuits designed by the present invention.
Fig. 8 (a), (b), (c) are the DSP peripheral circuits of the invention designed.
Fig. 9 (a), (b), (c) are that the pin that the present invention designs protects circuit.
Figure 10 is the switching power circuit that the present invention designs.
Figure 11 (a), (b), (c) are the isolated drive circuit of the invention designed.
Specific implementation mode
As shown, the present invention is implemented by the following technical programs：
1, population-bacterium is looked for food the SHEPWM technical research of the multi-electrical level inverter of optimization algorithm (PSO-BFO), the party
Method includes：(a) controll plant and control method；(b) entire control system hardware components.
(a) controll plant and control method；Controll plant is T-type three-level photovoltaic grid-connected inverter, and inverter three-phase is defeated
Go out grid-connected with power grid by resistance-inductance load；Control method uses the spy for optimization algorithm realization of looking for food based on population-bacterium
Determine Harmonics elimination control, is based on an elimination, determines the switching angle in particular harmonic technology for eliminating；
PSO optimization algorithms flow is simple, process is adjusted without complicated search, arithmetic speed is fast and ability of searching optimum is strong.
But PSO algorithms are easily trapped into local optimum, and solve premature convergence, make the global search of algorithm when solving SHEPWM equations
It is less able.And when algorithm proceeds to the later stage, the precision of solution cannot improve, and cause convergence speed of the algorithm slack-off.BFO algorithms
It is strong using flooding mechanism ability of searching optimum.
It in view of the above analysis, is introduced into PSO algorithms as a mutation operator in the aggregation operator of BFO algorithms, proposes one
Kind mixed population-bacterium is looked for food optimization algorithm (PSO-BFO).Its basic thought is:Global space is first completed by PSO algorithms
Search, the optimal information of memory individual and group regards each particle as bacterium, then from BFO algorithms toward and
Aggregation operator completes the function of local search, while improving BFO algorithm ability of searching optimum with this, and improves PSO algorithms
Local search ability.
Controll plant T-type three-level photovoltaic grid-connected inverter therein, establishes T-type three-level photovoltaic grid-connected inverter
SHEPWM eliminations, T-type three-level inverter single-phase output voltage waveform can be indicated by Fourier space：
U0(t)=∑ [Ansin(nωt)+Bn cos(nωt)] (1)
Wherein
In formula, U0For inverter output voltage；An、BnFor amplitude；ω
For angular frequency.
Since SHEPWM waveforms have the mirror symmetry of positive and negative two half period, the DC component of the series, cosine component and
Even sinusoidal component is all zero, only contains odd sine term harmonic wave.Then：
In formula, UdFor inverter direct-flow side supply voltage value；N is the switching angle number that is taken within 1/4 period；αkIt is N number of
K-th of switching angle in switching angle.
Selected fundamental wave indicates with q, then B1=q.It is zero to enable remaining n-1 low order higher hamonic wave amplitude again,
Then：Bn=0 n=1,3,5,7 ... (5)
If fundamental modulation degreeIf eliminating 5,7,11,13 ..., 6i-1,6i+1 ..., (M is M subharmonic
Can school district highest subharmonic number), obtain：
In formula, Usm(1)For fundamental wave.
The emphasis of SHEPWM technologies is that the α values met the requirements in formula (6) are calculated according to different m values with algorithm.Institute
It is required that solution be a Nonlinear and transcendental equations, it has N number of different solution, i.e. α1,α2,…,αN-1,αN, 5 are mainly eliminated,
7,11,13 subharmonic, then N=5, formula (6) is transformed to
Then, it minimizes multi-objective problem and is unified into a single-objective problem, and as object function：
Design function fitness is
Speed and location updating equation in PSO algorithms are
I=1,2 ..., m；D=1,2 ..., D；K is iterations；rand1,rand2It is the random number between [0,1]；ω
For inertia weight；c1For the cognitive learning factor；c2For social learning's factor；Pdest is personal best particle；Gbest is entire group
The optimal location of body.
Here, PSO algorithms are introduced into as mutation operator in BFO algorithms, eliminate in formula (10) speed more new algorithm
Realization knows that social recognition part, the i.e. shared part of community information is used only in part, such as formula (12).Meanwhile it will be made a variation by PSO
The community information that operator obtains is added in location updating equation, such as formula (13).The purpose is to the memory functions using PSO algorithms
Improve the ability of searching optimum and search efficiency of BFO algorithms.
The particle rapidity of PSO more new formula is
Location update formula is
Wherein j indicates that jth time individual in population tends to operation, and k indicates that kth time individual in population replicates operation, l tables
Show individual in population.θi(j, k, l) indicates that the individual in population executes the operation of jth time trend again, kth time replicates operation, l
Position after secondary Transfer free energy.
Formula (12) and (13) more novel bacteria position are pressed by introducing PSO variations in BFO algorithms, calculates new adaptation
Value, the i.e. switching angle of SHEPWM controls.
(b) entire control system hardware components：Control main circuit, control object；Wherein control main circuit includes DPS processing
Device, pin protection circuit, current sampling circuit, switching power circuit, isolation drive protect circuit；Control object is three electricity of T-type
Flat photovoltaic combining inverter.
The method master control program includes the following steps：
(1) system initialization determines constant parameter；
(2) speed of random initializtion population and position；According to the constraints of formula (8), it is feasible to randomly generate a group
Solve α1,α2,…,αs, wherein the speed comprising each particle and position；
(3) determine that solution space isTransfer free energy cycle is carried out, each particle is with probability PedIt is randomly distributed
In solution space；
(4) it executes and replicates operation, define health degree functionIt is relatively low to eliminate half health degree
, and it is higher to replicate the other half health degree；
(5) it executes and tends to operationOne of Δ random direction
Unit vector；
(6) consider that the repulsion and gravitation between bacterium, the adaptation value function J (i, j, k, l) for calculating bacterium i enable Jlast=J (i,
j,k,l)；
(7) optimal location is searched in bacterium overturning, while by the position θ of formula (12) and (13) update florai(j+1,k,
L), and the adaptive value J (i, j+1, k, l) of flora is calculated；
J (i, j+1, k, l)=J (i, j, k, l)+Jcc(θi(j+1, k, l), P (j+1, k, l)), judgement and JlastSize
And update JlastValue；
(8) judge whether to reach maximum cycle, be to export optimum switch angle, otherwise recycled；
(9) the new on off state driving Three-Level Inverter System of application realizes SHEPWM controls.
Technical scheme of the present invention is specifically described below in conjunction with the accompanying drawings：
Fig. 1 is the T-type three-level photovoltaic grid-connected inverter schematic diagram that the present invention designs, as shown, TAi, TBi, TCi,
(i=1,2,3,4) totally 12 switching devices constitute the topological structure of the circuit, the circuit using differential concatenation two switches
Output end is connected by device with midpoint, realizes neutral point clamp function.C1 and C2 is the derided capacitors of DC side, derided capacitors it
Between O points be Zero potential reference.P is busbar anode, and N is busbar cathode.R, L indicates that load, e indicate power grid.It is equal three
Under balance system, inverter bridge output voltage is respectively uia、uib、uic, inductive current is respectively ia、ib、ic, network voltage is respectively
ea、eb、ec.According to Kirchhoff's law, the three-phase voltage current equation of Three-Level Inverter System is represented by：
Fig. 2 is inverter phase voltage SHEPWM model schematics, and T-type three-level inverter single-phase output voltage waveform can be by
Fourier space indicates：U0(t)=∑ [Ansin(nωt)+Bncos(nωt)]
Wherein
In formula, U0For inverter output voltage；An、BnFor amplitude；ω is
Angular frequency.
Fig. 3 is the system control block figure of the T-type three-level inverter designed by the present invention, first passes around coordinate transform, will
Abc coordinate system transformations are to α β γ coordinate systems, under α β γ coordinate systems, are looked for food optimization algorithm, solved out using population-bacterium
Angle is closed, the switching angle found out controls the waveform of grid-connected inverters electric current to inverter.
Fig. 4 is that population-bacterium for designing of the present invention is looked for food optimization algorithm functional block diagram, passes through this intelligent optimization algorithm
Switching angle is calculated, inverter is driven.
Fig. 5 is that population-bacterium in design method of the present invention is looked for food optimization algorithm flow chart, and the control algolithm is by DSP
Processor is realized, is emulated by MATLAB/Simulink7.0.In the intelligent algorithm, sampling period Ts=1us, or
It is 0.1KHZ to make sample frequency.In flow chart shown in Fig. 6, first by PSO algorithms complete global space search, memory individual and
The optimal information of group regards each particle as bacterium, then from BFO algorithms toward and aggregation operator complete part and search
The function of rope while improving BFO algorithm ability of searching optimum with this, and improves the local search ability of PSO algorithms.
Fig. 6 is the hardware circuit diagram of the photovoltaic combining inverter SHEPWM controls designed by the present invention, photovoltaic battery panel
Original electric energy exports three level voltages by inverter, grid-connected with power grid using being filtered.In order to keep the flat of system
Steady operation, achievees the purpose that neutral-point-potential balance control, and present invention design is looked for food optimization algorithm realization using population-bacterium
SHEPWM is controlled, and is formed closed loop, is controlled grid-connected voltage.Include sampling to load voltage, direct current in SHEPWM
Detection, DSP calculation processings, switching power circuit design and the design of isolated drive circuit of lateral capacitance voltage.
Fig. 7 is the UV phase voltage detection circuits that design of the present invention, by precision operational-amplifier, to voltage carry out sampling and
After amplification, the load voltage signal of measurement is provided for DSP.
Fig. 8 is the DSP peripheral circuits that the present invention designs.Peripheral circuit includes mainly interface configuration, reset circuit, ADC moulds
The setting of block and clock circuit.Electrification reset is generated with resistance-capacitance circuit, the input of power supply chip is 5V, is exported as 1.9V and 3.3V
Power supply is powered for DSP, and out-put supply will produce reset signal there are two reset signal when power supply is unstable or too low respectively.
The pin that Fig. 9 is DSP protects circuit.
Figure 10 is the switching power circuit that the present invention designs.High direct voltage end is added to high-frequency pulse transformer primary side, opens
Devices in series is closed in another primary side of transformer.The periodic turn-on and turn-off of switching device make primary direct current pressure conversion
It is coupled to secondary at the rectangular wave of some cycles, then by pulse transformer, corresponding DC low-voltage output voltage is obtained after filtering.
The circuit uses UC28C45 chips, and multigroup voltage source is induced by transformer coil.To offers such as master control borad, driving circuits
Low-tension supply.
Figure 11 is the isolated drive circuit that the present invention designs, i.e. current detecting protects circuit.Driving circuit is by master control electricity
12 pwm signals in road provide drive signal after Phototube Coupling and amplification for the change of current device of inverter circuit.This
Isolated drive circuit in invention design is made of current sampling, signal isolation amplification, signal amplification output three parts.7800A
The amplification coefficient of optocoupler is 8.
It is understood that above with respect to the specific descriptions of the present invention, it is merely to illustrate the present invention and is not limited to this
Technical solution described in inventive embodiments, it will be understood by those of ordinary skill in the art that, still the present invention can be carried out
Modification or equivalent replacement, to reach identical technique effect；As long as meet use needs, all protection scope of the present invention it
It is interior.
Claims (3)
1. the SHEPWM control systems of multi-electrical level inverter, including DSP processing circuits, voltage sampling circuit, isolated drive circuit,
Switching power circuit and voltage sensor, it is characterised in that voltage sensor, voltage sampling circuit, DSP processing circuits, isolation are driven
Dynamic circuit is sequentially connected, the control of the output port of isolated drive circuit and the switching device of T-type three-level photovoltaic grid-connected inverter
Port processed is connected；The input port of voltage sensor is connected with the output port of T-type three-level photovoltaic grid-connected inverter；Switch electricity
The output port of source circuit is electric with DSP processing circuits power port, voltage sampling circuit power port, isolated drive circuit respectively
Source port is connected；
The control method of the SHEPWM control systems of the multi-electrical level inverter includes with lower part：
1) the SHEPWM eliminations of T-type three-level photovoltaic grid-connected inverter, T-type three-level inverter single-phase output voltage are established
Waveform is indicated by Fourier space：
U0(t)=∑ [Ansin(nωt)+Bncos(nωt)] (1)
Wherein
In formula, U0For inverter output voltage；An、BnFor amplitude；ω is angular frequency
Rate；
SHEPWM waveforms have the mirror symmetry of positive and negative two half period, DC component, sinusoidal component and the even cosine of the series
Component is all zero, only contains odd cosine term harmonic wave；Then：
In formula, UdFor inverter direct-flow side supply voltage value；N is the switching angle number that is taken within 1/4 period；αkFor N number of switch
K-th of switching angle in angle；
Selected fundamental wave indicates with q, then B1=q；It is zero to enable remaining n-1 low order higher hamonic wave amplitude again,
Then：Bn=0n=3,5,7 ... (5)
If fundamental modulation degreeIf eliminating 5,7,11,13 ..., 6i-1,6i+1 ..., (M is that can disappear to M subharmonic
The highest subharmonic number gone), it obtains：
In formula, Usm(1)For fundamental wave；
SHEPWM control algolithms calculate the α values met the requirements in formula (6) according to different m values；Required solution is one non-
Linear transcendental equations, it has N number of different solution, i.e. α1,α2,…,αN-1,αN, 5,7,11,13 subharmonic are eliminated, then N=5, it will
Formula (6) is transformed to
It minimizes multi-objective problem and is unified into a single-objective problem, and as object function：
Design function fitness is
Speed and location updating equation in PSO algorithms are
I=1,2 ..., m；D=1,2 ..., D；K in formula (10) and (11) is iterations；rand1,rand2Be [0,1] it
Between random number；W is inertia weight；c1For the cognitive learning factor；c2For social learning's factor；Pbest is personal best particle；
Gbest is the optimal location of entire group；
PSO algorithms are introduced into as mutation operator in BFO algorithms, eliminate the individual cognition part in formula (10) speed more new algorithm
Using only social recognition part, the i.e. shared part of community information, such as formula (12)；Meanwhile it will be obtained by PSO mutation operators
Community information is added in location updating equation, such as formula (13)；The overall situation of BFO algorithms is improved using the memory function of PSO algorithms
Search capability and search efficiency；
The particle rapidity of PSO more new formula is
Location update formula is
Wherein j indicates that jth time individual in population tends to operation, and the k in formula (13) indicates that kth time individual in population replicates
Operation, l indicate the l times Transfer free energy individual in population；θi(j, k, l) indicates that the individual in population is executing jth time trend
Operation, kth time replicate the position after operation, the l times Transfer free energy；
Formula (12) and (13) more novel bacteria position are pressed by introducing PSO variations in BFO algorithms, calculates new adaptive value,
That is the switching angle of SHEPWM controls；
2) it follows the steps below：
(1) system initialization determines constant parameter；
(2) speed of random initializtion population and position；According to the constraints of formula (8), a group feasible solution α is randomly generated1,
α2,…,αs, wherein the speed comprising each particle and position；
(3) determine that solution space isTransfer free energy cycle is carried out, each particle is with probability PedIt is randomly distributed solution space
In；
(4) it executes and replicates operation, define health degree functionIt is lower to eliminate half health degree, and
It is higher to replicate the other half health degree；
(5) it executes and tends to operationΔ is a list of random direction
Bit vector；
(6) consider the repulsion and gravitation between bacterium, calculate the adaptation value function J (i, j, k, l) of bacterium i, enable Jlast=J (i, j, k,
l)；
(7) optimal location is searched in bacterium overturning, while by the position θ of formula (12) and (13) update florai(j+1, k, l), and count
Calculate the adaptive value J (i, j+1, k, l) of flora；
J (i, j+1, k, l)=J (i, j, k, l)+Jcc(θi(j+1, k, l), P (j+1, k, l)), judgement and JlastSize and update
JlastValue；
(8) judge whether to reach maximum cycle, be to export optimum switch angle, otherwise recycled；
(9) the new on off state driving Three-Level Inverter System of application realizes SHEPWM controls.
2. the SHEPWM control systems of multi-electrical level inverter according to claim 1, it is characterised in that the voltage sample electricity
Road is three level of detection using 3 feet of TMS320F283XXPGF chips U3, U5 using OPA4376 chips U5, DSP processing circuit
Photovoltaic combining inverter exports the ports U-, and 2 feet of U5 are that detection three-level photovoltaic grid-connected inverter exports the ports U+, 1 foot of U5
It is connected with 42 feet of U3；
5 feet of U5 are that detection three-level photovoltaic grid-connected inverter exports the ports V-, and 6 feet of U5 are that detection is three-level photovoltaic grid-connected inverse
Become the ports device output V+, 7 feet of U5 are connected with 46 feet of U3.
3. the SHEPWM control systems of multi-electrical level inverter according to claim 1, it is characterised in that the switch power supply
Road uses UC28C45 chips.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610463049.XA CN105958854B (en) | 2016-06-23 | 2016-06-23 | The SHEPWM control systems and method of multi-electrical level inverter |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610463049.XA CN105958854B (en) | 2016-06-23 | 2016-06-23 | The SHEPWM control systems and method of multi-electrical level inverter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105958854A CN105958854A (en) | 2016-09-21 |
| CN105958854B true CN105958854B (en) | 2018-08-07 |
Family
ID=56904611
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610463049.XA Expired - Fee Related CN105958854B (en) | 2016-06-23 | 2016-06-23 | The SHEPWM control systems and method of multi-electrical level inverter |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105958854B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107196542B (en) * | 2017-06-05 | 2019-06-21 | 中车株洲电力机车研究所有限公司 | A kind of selective harmonic elimination pulsewidth modulation becomes mode control method and its device |
| CN107425703B (en) * | 2017-06-20 | 2020-06-19 | 株洲中车时代电气股份有限公司 | Calculation method and system for optimal harmonic distribution SHEPWM switching angle |
| CN112583291A (en) * | 2020-12-14 | 2021-03-30 | 华侨大学 | Control method, device, equipment and storage medium of three-level inverter |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104953877A (en) * | 2015-07-21 | 2015-09-30 | 沈阳工业大学 | T-type three-level inverter finite set model prediction control method and system |
-
2016
- 2016-06-23 CN CN201610463049.XA patent/CN105958854B/en not_active Expired - Fee Related
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104953877A (en) * | 2015-07-21 | 2015-09-30 | 沈阳工业大学 | T-type three-level inverter finite set model prediction control method and system |
Non-Patent Citations (2)
| Title |
|---|
| 基于改进PSO算法的逆变器谐波抑制研究;何东晨;《中国优秀硕士学位论文全文数据库工程科技Ⅱ辑》;20150915(第9期);第4章第4.4节-第5章第5.1节 * |
| 多电平逆变器半周期对称SHEPWM方法;都小利;《电工技术学报》;20100430;第25卷(第4期);第95-97页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105958854A (en) | 2016-09-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107210684B (en) | Five level topology units and five-electrical level inverter | |
| CN104638676B (en) | A kind of AC series photovoltaic power generation grid-connecting system and control system thereof and method | |
| CN105958854B (en) | The SHEPWM control systems and method of multi-electrical level inverter | |
| CN111740614B (en) | Y-source two-stage matrix converter analysis method based on state space average model | |
| Ma et al. | A modulation strategy for improving output performance of matrix converter | |
| Wang et al. | An X-type boost multilevel inverter based on switched capacitor cells with low-voltage stress and high-frequency applications | |
| CN109347335A (en) | A kind of multi-level inverter bridge arm topology suitable for current source control | |
| Moranchel et al. | Six-level modular multilevel converter prototype with centralized hardware platform controller | |
| Ren et al. | Optimized design of filter for transformerless three-level photovoltaic grid-connected inverter | |
| Liu et al. | A simplified 3D-SVPWM algorithm for three-phase four-wire shunt active power filter | |
| Coteli et al. | Three-level cascaded inverter based D-STATCOM using decoupled indirect current control | |
| Rui et al. | Research of the four-leg voltage source inverters based on space vector modulation in abc coordinates | |
| CN108282098A (en) | A kind of New Cascading type transducer power decoupling control method | |
| CN205847125U (en) | The SHEPWM control system of multi-electrical level inverter | |
| Xu et al. | Control design and operational characteristics comparation for VSC-HVDC supplying active/passive networks | |
| Amarendra et al. | Investigation and analysis of space vector modulation with matrix converter determined based on fuzzy C-means tuned modulation indexs | |
| Aboadla et al. | A comparative study between SPWM and SHE-PWM modulation techniques for DC-AC inverters | |
| Palanisamy et al. | Transformer based NPC multilevel inverter using reduced number of components | |
| Chen et al. | An improved SVPWM algorithm with low computational overhead for three-level inverter | |
| Sun et al. | Novel single-phase transformerless inverter based on the freewheeling loop separation for PV systems | |
| Xu et al. | A new type of single-phase five-level inverter | |
| Yongtao et al. | Harmonic and reactive power compensation with artificial neural network technology | |
| Bu et al. | Research on Harmonic Suppression Strategy of Photovoltaic Grid-connected Inverter Based on Grid Voltage Control. | |
| Cardoso et al. | Current source DC/AC converter for photovoltaic systems | |
| CN214380639U (en) | Solar multilevel converter device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180807 Termination date: 20200623 |