CN115241912A - Model mismatch compensation method for model predictive control three-phase grid-connected inverter - Google Patents

Model mismatch compensation method for model predictive control three-phase grid-connected inverter Download PDF

Info

Publication number
CN115241912A
CN115241912A CN202210870667.1A CN202210870667A CN115241912A CN 115241912 A CN115241912 A CN 115241912A CN 202210870667 A CN202210870667 A CN 202210870667A CN 115241912 A CN115241912 A CN 115241912A
Authority
CN
China
Prior art keywords
model
phase
inverter
voltage
mismatch compensation
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.)
Granted
Application number
CN202210870667.1A
Other languages
Chinese (zh)
Other versions
CN115241912B (en
Inventor
周扬忠
陈隆
郑伟杰
钟天云
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fuzhou University
Original Assignee
Fuzhou University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Fuzhou University filed Critical Fuzhou University
Priority to CN202210870667.1A priority Critical patent/CN115241912B/en
Publication of CN115241912A publication Critical patent/CN115241912A/en
Application granted granted Critical
Publication of CN115241912B publication Critical patent/CN115241912B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02MAPPARATUS 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
    • H02M1/00Details of apparatus for conversion
    • H02M1/12Arrangements for reducing harmonics from ac input or output
    • H02M1/126Arrangements for reducing harmonics from ac input or output using passive filters
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02MAPPARATUS 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
    • H02M7/00Conversion of ac power input into dc power output; Conversion of dc power input into ac power output
    • H02M7/42Conversion of dc power input into ac power output without possibility of reversal
    • H02M7/44Conversion of dc power input into ac power output without possibility of reversal by static converters
    • H02M7/48Conversion 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
    • H02M7/53Conversion 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
    • H02M7/537Conversion 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
    • H02M7/5387Conversion 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
    • H02M7/53871Conversion 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 with automatic control of output voltage or current
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Inverter Devices (AREA)

Abstract

The invention provides a model mismatch compensation method for a model predictive control three-phase grid-connected inverter. It is then observed by the model mismatch module. And finally, compensating the observed disturbance to a predicted inverter output voltage initial value, and realizing the control of the inverter through a model prediction controller. The method solves the problem that the performance of the three-phase grid-connected inverter based on model predictive control is reduced due to inaccurate control of the mathematical model of the controlled object on the premise of not improving the complexity of a predictive model. The control efficiency and quality of the MPC are effectively improved, and the reliability of the three-phase grid-connected inverter is improved.

Description

Model mismatch compensation method for model predictive control three-phase grid-connected inverter
Technical Field
The invention relates to the field of predictive control of distributed power generation systems, in particular to a model mismatch compensation method for a three-phase grid-connected inverter based on model predictive control.
Background
With the increasing computing power of microprocessors, model Predictive Control (MPC) is widely researched in the field of power electronic transformation, so that distributed power generation systems, alternating current motor control, uninterruptible power supplies and the like have good static and dynamic performances. The MPC can decouple the control loops which are mutually dependent, so that the dynamic response of the system is improved, and the response speed of the three-phase grid-connected inverter based on the MPC algorithm is much higher than that of the three-phase grid-connected inverter based on the MPC algorithm by adopting a classical controller.
Three-phase grid-connected inverters generally employ LCL filtering. Compared with the L filter, the LCL filter has the characteristic of a third-order low-pass filter, and the total inductance value of the LCL filter is smaller than the single inductance value of the L filter under the same harmonic standard and lower switching frequency.
However, the three-phase grid-connected inverter based on the MPC algorithm has some problems if the LCL filter is selected for filtering. In terms of control algorithm, a mathematical model of the three-phase grid-connected inverter becomes more complex, and the design difficulty of the MPC controller is improved. In terms of hardware design, a sampling circuit needs to be additionally configured for acquiring a current value flowing into a capacitor, so that the equipment cost is increased. Therefore, in most application processes of the three-phase grid-connected inverter based on the MPC algorithm, the inflow capacitance current is ignored, and an inverter dynamic model is established on the basis of the traditional inductance L filtering, so that an unmodeled part exists in a mathematical model of a controlled object, and a control error is generated; in addition, the ferromagnetic material of the filter inductor changes according to the magnetization curve, so that the actual value of the inductor is time-varying under different working conditions. Meanwhile, the resistance in the model is not only the stray resistance of the inductor, but also other unknown resistances such as the line resistance which cannot be effectively measured in the inverter system. Therefore, the inductance and resistance parameters in the model often deviate from the actual object, reducing the control performance of the MPC algorithm. How to compensate for the above model errors is very important to improve MPC performance.
In order to improve the control performance of MPC, some parameter identification methods are used in some projects to improve the accuracy of mathematical models. However, this control strategy has the following disadvantages: 1) the unmodeled part of the model cannot be compensated 2) the resistance parameters are not observed 3) the calculated amount of the controller is increased, thereby increasing the requirement of the inverter system on the control chip.
Disclosure of Invention
In view of this, the invention aims to provide a model mismatch compensation method for a three-phase grid-connected inverter based on model predictive control, which solves the problem that a model of the three-phase grid-connected inverter based on the model predictive control is not accurate due to model unmolding and parameter time variation, effectively improves the control efficiency and quality of an MPC (dynamic host computer controller) and improves the reliability of the three-phase grid-connected inverter.
In order to achieve the purpose, the invention adopts the following technical scheme:
a model mismatch compensation method for a model predictive control three-phase grid-connected inverter comprises the following steps:
s1, establishing a three-phase grid-connected inverter discrete mathematical model based on an L filter, substituting a sampling signal and a given current value into the three-phase grid-connected inverter discrete mathematical model based on the L filter, and calculating an initial value u of output voltage of a prediction inverter anref0 、u bnref0 、u cnref0
S2, establishing an actual mathematical model of the three-phase grid-connected inverter based on the LCL filter, defining the voltage generated by the current flowing into the capacitor as model disturbance, and defining the sum of the voltage generated by the resistance inductance deviation value and the model disturbance as system unknown disturbance; defining the collected power grid voltage as known disturbance;
s3, defining the known inductance as a control gain and outputting a voltage u by the inverter an 、u bn 、u cn As input for model mismatch compensation, the inverter side current i a 、i b 、i c As the output of the model mismatch compensation, a model mismatch compensation module is established, and beta is set based on the model mismatch compensation module a1 、β a2 、β b1 、β b2 、β c1 、β c2 Posterior observationUnknown disturbance z of the output system a2 、z b2 、z c2
S4, compensating the unknown disturbance of the system to the initial value u of the output voltage of the prediction inverter anref0 、u bnref0 、u cnref0 Obtain three-phase predicted inverter output voltage u anref 、u bnref 、u cnref
Step S5: according to u anref 、u bnref 、u cnref And designing a cost function, and sending the output voltage of the three-phase prediction inverter into a model prediction controller for traversal, and then selecting a voltage vector for the control of the inverter at the next moment.
Further, the step S1 specifically includes:
the mathematical model under the static abc coordinate system of the grid-connected inverter based on the LCL filter is
Figure BDA0003761056180000031
Wherein u is rx =-L x2 di cx /dt-R x2 i cx Is a model perturbation term; l is a radical of an alcohol x And R x Respectively, the sum of the inductances on both sides of the capacitor and their parasitic resistances, i.e. L x =L x1 +L x2 ,R x =R x1 +R x2
Neglecting a model disturbance term, establishing an L filter simplified inverter dynamic model:
Figure BDA0003761056180000032
because of the sampling period T s Short enough, the forward euler method can be used to discretize equation (2) to obtain the discrete mathematical model of the inverter:
Figure BDA0003761056180000041
when the sampling time is less than the preset time, obtaining:
Figure BDA0003761056180000042
for a given current i under a two-phase rotating coordinate system dref 、i qref The following transformations are performed:
Figure BDA0003761056180000043
and (3) substituting the formula (5) for the formula (3) to obtain the initial value of the output voltage of the inverter under the abc static coordinate system at the k time:
Figure BDA0003761056180000044
further, the step S2 specifically includes:
if the actual system and the prediction model have inductance resistance deviation Delta L between phases x And Δ R x Then, the actual mathematical model of the three-phase grid-connected inverter based on the LCL filter specifically includes:
Figure BDA0003761056180000051
let the voltage error generated by parameter mismatch be internal unknown disturbance respectively
f a (i a )=(u ra +ΔL a di a /dt+ΔR a i a )
f b (i b )=(u rb +ΔL b di b /dt+ΔR b i b )
f c (i c )=(u rc +ΔL c di c /dt+ΔR c i c ),
The external known disturbance is the three-phase network-side phase voltage w a (t)=-e a 、w b (t)=-e b And w c (t)=-e c The control gains are respectively b a =1/L a 、b b =1/L b And b c =1/L c
Then:
Figure BDA0003761056180000052
let u an 、u bn 、u cn For system input u as 、u bs 、u cs ,i a 、i b 、i c Output y for the system a1 、y b1 、y c1 ;i a 、i b 、i c Is a state variable x a1 、x b1 、x c1 The first order system was constructed as follows:
Figure BDA0003761056180000053
Figure BDA0003761056180000054
Figure BDA0003761056180000055
let state variable x a2 =f a (i a )、x b2 =f b (i b )、x c2 =f c (i c ) The new system is constructed as follows:
Figure BDA0003761056180000056
Figure BDA0003761056180000061
Figure BDA0003761056180000062
further, the step S3 specifically includes:
will inverter output voltage u an 、u bn 、u cn Phase current i of three phases on the inversion side a 、i b 、i c And predicting an initial value u of the inverter output voltage anref0 、u bnref0 、u cnref0 Substituting the model mismatch compensation module to calculate as follows:
compensation of a-phase model mismatch: e.g. of the type a1 =z a1 -i a ,
Figure BDA0003761056180000063
And b-phase model mismatch compensation: e.g. of the type b1 =z b1 -i b ,
Figure BDA0003761056180000064
c-phase model mismatch compensation: e.g. of a cylinder c1 =z c1 -i c ,
Figure BDA0003761056180000065
Wherein z is a1 、z b1 、z c1 Is an estimate of the three-phase current,
Figure BDA0003761056180000066
are each z a1 、z b1 、z c1 The derivative of (a) is determined,
Figure BDA0003761056180000067
are each z a2 、z b2 、z c2 Derivative of e a1 、e b1 、e c1 And the error value of the three-phase current estimated value and the three-phase current sampling value on the inversion side.
Further, the step S4 specifically includes:
compensating unknown disturbance of the system to the initial value u of the output voltage of the prediction inverter anref0 、u bnref0 、u cnref0 To obtain IIIPhase predicting the output voltage of the inverter to obtain the compensated network side reference voltage at the moment k:
Figure BDA0003761056180000068
further, the cost function g (k) is specifically:
g(k)=(u anref (k)-u a (k)) 2 +(u bnref (k)-u b (k)) 2 +(u cnref (k)-u c (k)) 2
wherein u is a (k)、u b (k)、u c (k) Is the estimated inverter output voltage of each voltage vector.
Compared with the prior art, the invention has the following beneficial effects:
the method solves the problem that the mathematical model of the controlled object of the three-phase grid-connected inverter based on model prediction control is not accurate, effectively improves the control efficiency and quality of the MPC, and improves the reliability of the three-phase grid-connected inverter.
Drawings
FIG. 1 is a block diagram of the method architecture of the present invention;
FIG. 2 is a block diagram of a structure for predicting an initial value of an output voltage of an inverter according to an embodiment of the invention;
FIG. 3 is a block diagram of a model mismatch compensation architecture in an embodiment of the present invention;
FIG. 4 is a hardware structure of a three-phase grid-connected inverter system according to an embodiment of the present invention;
FIG. 5 illustrates coordinate system definitions in accordance with an embodiment of the present invention.
Detailed Description
The invention is further explained below with reference to the drawings and the embodiments.
Referring to fig. 1, the system of the present embodiment is composed of a dc power supply V dc And supplying power, wherein any inverter topology is connected into the LCL filter and then is merged into the power grid. Wherein L is a1 、L b1 、L c1 And R a1 、R b1 、R c1 Parasitic resistances of the inverter side inductance and the inverter side inductance, respectively;L a2 、L b2 、L c2 and R a2 、R b2 、R c2 Parasitic resistances of the network side inductor and the network side inductor respectively; c a 、C b 、C c Is a filter capacitor; r a 、R b 、R c Is a passive damping resistor; filter capacitor i a 、i b 、i c Is the inverter output current; i.e. i ca 、i cb 、i cc Is the current flowing into the filter capacitor; i.e. i ga 、i gb 、i gc Is the three-phase current at the network side; u. of an 、u bn 、u cn Is the inverter side output phase voltage; e.g. of the type a 、e b 、e c Is the grid side phase voltage.
Fig. 2 is a block diagram illustrating a structure for predicting an initial value of an output voltage of an inverter. Establishing a three-phase grid-connected inverter discrete mathematical model based on an L filter, an inversion side three-phase current, a grid side phase voltage and a three-phase given current i aref 、i bref 、i cref As the input of the predicted inverter output voltage initial value, the three-phase predicted inverter output voltage initial value u in the static coordinate system is output anref0 、u bnref0 、u cnref0
Fig. 3 is a block diagram of a model mismatch compensation structure. Wherein z is a1 、z b1 、z c1 Are respectively a state variable i a 、i b 、i c An estimated value of (d); z is a radical of a2 、z b2 、z c2 Is an estimate of the model mismatch error. Beta is a beta a1 、β a2 、β b1 、β b2 、β c1 、β c2 Is an adjustable correction factor. Inversion side three-phase current i a 、i b 、i c Three-phase output voltage initial value prediction u anref0 、u bnref0 、u cnref0 And the inverter output voltage u an 、u bn 、u cn Outputting a three-phase predicted inverter output voltage u as an input to a model mismatch anref 、u bnref 、u cnref
Referring to fig. 4, the entire control system in the present embodiment includes: the system comprises a direct-current power supply, a three-phase grid-connected inverter, a filter circuit, a relay switch, a direct-current bus sampling circuit, a three-phase grid voltage acquisition circuit, an inverter side three-phase current acquisition circuit, a controller, an isolation drive, a human-computer interaction part and the like.
Wherein the three-phase inverter is provided by a suitable dc power supply. The power tube in the inverter adopts IGBT or MOSFET with parallel diode, and the controller adopts DSP or single chip microcomputer. The inverter side three-phase current acquisition circuit is formed by combining a Hall current sensor and an operational amplifier, or can be formed by combining a winding series power resistor and a differential operational amplifier. The Hall sensor scheme can effectively realize the electrical isolation of the control loop and the main loop, and the winding series power resistance scheme can reduce the system cost. The power grid voltage acquisition circuit is formed by combining a precise voltage sensor and an operational amplifier, and can also be formed by combining a voltage follower formed by connecting an operational amplifier after voltage division of a parallel resistor. The current detection circuit, the voltage sampling circuit and the output weak current signal are sent to an A/D conversion module of the controller. When the grid-connected mode or the island mode is entered, the GPIO module of the controller outputs a relay action signal, and the relay is actuated by the isolation drive after passing through the level conversion chip.
The coordinate system is defined as shown in fig. 5, where the abc axis is a stationary three-phase coordinate system, the α β axis is a stationary two-phase coordinate system, and the dq axis is a rotating two-phase coordinate system.
The grid-side phase voltage e is defined according to the coordinate system in fig. 5 a 、e b 、e c Performing Clark transformation:
Figure BDA0003761056180000091
according to e 、e The phase angle theta can be calculated g
Figure BDA0003761056180000092
According to the coordinate system definition in FIG. 5, for a given current i in a two-phase rotating coordinate system dref 、i qref The following transformations are performed:
Figure BDA0003761056180000093
in this embodiment, a model mismatch compensation method for a three-phase grid-connected inverter based on model predictive control is provided, which includes the following steps:
a model mismatch compensation method for a model predictive control three-phase grid-connected inverter is characterized by comprising the following steps:
s1, establishing a three-phase grid-connected inverter discrete mathematical model based on an L filter, substituting a sampling signal and a given current value into the three-phase grid-connected inverter discrete mathematical model based on the L filter, and calculating an initial value u of output voltage of a prediction inverter anref0 、u bnref0 、u cnref0
S2, establishing an actual mathematical model of the three-phase grid-connected inverter based on the LCL filter, defining the voltage generated by the current flowing into the capacitor as model disturbance, and defining the sum of the voltage generated by the resistance inductance deviation value and the model disturbance as system unknown disturbance; defining the collected power grid voltage as known disturbance;
s3, defining the known inductance as a control gain and outputting a voltage u by the inverter an 、u bn 、u cn As input for model mismatch compensation, the inverter side current i a 、i b 、i c As the output of the model mismatch compensation, a model mismatch compensation module is established, and beta is set based on the model mismatch compensation module a1 、β a2 、β b1 、β b2 、β c1 、β c2 Post-observation of unknown disturbance z of the system a2 、z b2 、z c2
S4, compensating unknown disturbance of the system to a predicted initial value u of the output voltage of the inverter anref0 、u bnref0 、u cnref0 Obtain three-phase predicted inverter output voltage u anref 、u bnref 、u cnref
Step S5: according to u anref 、u bnref 、u cnref And designing a cost function, and sending the output voltage of the three-phase prediction inverter into a model prediction controller for traversal, and then selecting a voltage vector for the control of the inverter at the next moment.
In the embodiment, the direct current voltage passes through an inverter system, and is merged into a power grid after current higher harmonics are eliminated through an LCL filter; collecting the voltage e of the network side phase a 、e b 、e c Transforming the two-phase stationary coordinate system to obtain e 、e Wherein the calculation formula is as follows:
Figure BDA0003761056180000101
calculating the phase angle theta of the phase voltage at the network side g Wherein the calculation formula is as follows:
Figure BDA0003761056180000102
a given current i in a two-phase rotating coordinate system dref 、i qref Converting the three-phase static coordinate system to obtain i aref 、i bref 、i cref Wherein the calculation formula is as follows:
Figure BDA0003761056180000111
will give a current i aref 、i bref 、i cref Phase current i of three phases on the inversion side a 、i b 、i c And the grid side phase voltage e a 、e b 、e c Substituting the discrete mathematical model of the three-phase grid-connected inverter based on the L filter to obtain the initial value u of the output voltage of the predicted inverter anref0 、u bnref0 、u cnref0 ,
Figure BDA0003761056180000112
In this embodiment, step S2 specifically includes:
setting that the inductance resistance deviation Delta L exists between each phase of the actual system and the prediction model x And Δ R x Then, the actual mathematical model of the three-phase grid-connected inverter based on the LCL filter specifically includes:
Figure BDA0003761056180000113
let the voltage error generated by parameter mismatch be internal unknown disturbance respectively
f a (i a )=(u ra +ΔL a di a /dt+ΔR a i a )
f b (i b )=(u rb +ΔL b di b /dt+ΔR b i b )
f c (i c )=(u rc +ΔL c di c /dt+ΔR c i c ),
The external known disturbances are the three-phase network-side phase voltages w a (t)=-e a 、w b (t)=-e b And w c (t)=-e c The control gains are respectively b a =1/L a 、b b =1/L b And b c =1/Lc
Then:
Figure BDA0003761056180000121
let u an 、u bn 、u cn For system input u as 、u bs 、u cs ,i a 、i b Ic is the system output y a1 、y b1 、y c1 ;i a 、i b Ic is a state variable x a1 、x b1 、x c1 The first order system was constructed as follows:
Figure BDA0003761056180000122
Figure BDA0003761056180000123
Figure BDA0003761056180000124
let state variable x a2 =f a (i a )、x b2 =f b (i b )、x c2 =f c (i c ) The new system is constructed as follows:
Figure BDA0003761056180000125
Figure BDA0003761056180000126
Figure BDA0003761056180000127
the model mismatch compensation module can be based on the system input u an 、u bn 、u cn And an output quantity i a 、i b 、i b For the state variable x a1 、x b1 、x c1 And x a2 、x b2 、x c2 Estimating to further realize dynamic disturbance feedforward compensation, and establishing the following equation aiming at the formula system:
Figure BDA0003761056180000131
Figure BDA0003761056180000132
Figure BDA0003761056180000133
taking phase a as an example, as can be seen from the above formula, z a2 Is x a2 Value, z, filtered by a second order low pass filter a1 Is x a1 Filtered and then phase compensated. Beta is a beta a2 The value of (b) directly affects the estimation capability of the parameter mismatch compensation, along with beta a2 The anti-interference of the system is enhanced, namely the time for the system to recover to a steady state after disturbance is short. But beta. Is a2 Further increases will cause the system to oscillate and be sensitive to noise, while increasing β a1 To suppress this problem, but beta a1 Too large will cause the system to diverge. In conclusion, in the actual parameter setting process, the observer pole needs to be properly selected according to specific situations.
The same analysis method can be used to illustrate the b-phase and c-phase current loops, and the analysis is not repeated here.
And finally, adding an observation result to obtain the compensated network side reference voltage at the moment k:
Figure BDA0003761056180000134
preferably, in the present embodiment, the cost function is designed only with the current tracking as a unique target. In the current control of the grid-connected inverter, current, voltage or power is generally selected as a main constraint variable, and a cost function g (k) is established by taking the voltage constraint variable as an example:
g(k)=(u anref (k)-u a (k)) 2 +(u bnref (k)-u b (k)) 2 +(u cnref (k)-u c (k)) 2
wherein u is a (k)、u b (k)、u c (k) Is the predicted inverter output voltage of each voltage vector because the three-phase current is tracked as the sameA dimension is such that the coefficients of each square phase are 1. And traversing all vectors by the cost function to obtain a voltage vector which enables g (k) to be minimum, wherein the voltage vector is used for controlling the three-phase grid-connected inverter at the next moment.
The above description is only a preferred embodiment of the present invention, and all the equivalent changes and modifications made according to the claims of the present invention should be covered by the present invention.

Claims (6)

1. A model mismatch compensation method for a three-phase grid-connected inverter based on model predictive control is characterized by comprising the following steps:
s1, establishing a three-phase grid-connected inverter discrete mathematical model based on an L filter, substituting a sampling signal and a given current value into the three-phase grid-connected inverter discrete mathematical model based on the L filter, and calculating an initial value u of output voltage of a prediction inverter anref0 、u bnref0 、u cnref0
S2, establishing an actual mathematical model of the three-phase grid-connected inverter based on the LCL filter, defining the voltage generated by the current flowing into the capacitor as model disturbance, and defining the sum of the voltage generated by the resistance inductance deviation value and the model disturbance as system unknown disturbance; defining the collected power grid voltage as known disturbance;
s3, defining the known inductance as a control gain and outputting a voltage u by the inverter an 、u bn 、u cn As input for model mismatch compensation, the inverter side current i a 、i b 、i c As the output of the model mismatch compensation, a model mismatch compensation module is established, and beta is set based on the model mismatch compensation module a1 、β a2 、β b1 、β b2 、β c1 、β c2 The unknown disturbance z of the system is observed after the observation a2 、z b2 、z c2
S4, compensating unknown disturbance of the system to a predicted initial value u of the output voltage of the inverter anref0 、u bnref0 、u cnref0 To obtain the output voltage u of the three-phase prediction inverter anref 、u bnref 、u cnref
Step S5: according to u anref 、u bnref 、u cnref And designing a cost function, and sending the output voltage of the three-phase prediction inverter into a model prediction controller for traversal, and then selecting a voltage vector for the control of the inverter at the next moment.
2. The model mismatch compensation method for the model predictive controlled three-phase grid-connected inverter according to claim 1, wherein the step S1 specifically comprises:
the mathematical model under the static abc coordinate system of the grid-connected inverter based on the LCL filter is
Figure FDA0003761056170000021
Wherein u is rx =-L x2 di cx /dt-R x2 i cx Is a model disturbance term; l is a radical of an alcohol x And R x Respectively, the sum of the inductances on both sides of the capacitor and their parasitic resistances, i.e. L x =L x1 +L x2 ,R x =R x1 +R x2
Neglecting a model disturbance term, establishing an L filter simplified inverter dynamic model:
Figure FDA0003761056170000022
because of the sampling period T s The method is short enough, a forward Euler method can be used, and the discrete mathematical model of the inverter is obtained after discretizing the formula (2):
Figure FDA0003761056170000023
when the sampling time is less than the preset time, obtaining:
Figure FDA0003761056170000024
for a given current i in a two-phase rotating coordinate system dref 、i qref The following transformations are performed:
Figure FDA0003761056170000031
substituting equation (5) for equation (3) to obtain an initial value of the predicted inverter output voltage at time k abc in a stationary coordinate system:
Figure FDA0003761056170000032
3. the model mismatch compensation method for the model predictive controlled three-phase grid-connected inverter according to claim 1, wherein the step S2 specifically comprises:
setting that the inductance resistance deviation Delta L exists between each phase of the actual system and the prediction model x And Δ R x Then, the actual mathematical model of the three-phase grid-connected inverter based on the LCL filter specifically includes:
Figure FDA0003761056170000033
let the voltage error generated by parameter mismatch be an internal unknown disturbance respectively
f a (i a )=(u ra +ΔL a di a /dt+ΔR a i a )
f b (i b )=(u rb +ΔL b di b /dt+ΔR b i b )
f c (i c )=(u rc +ΔL c di c /dt+ΔR c i c ),
The external known disturbances are the three-phase network-side phase voltages w a (t)=-e a 、w b (t)=-e b And w c (t)=-e c The control gains are respectively b a =1/L a 、b b =1/L b And b c =1/L c
Then:
Figure FDA0003761056170000041
let u an 、u bn 、u cn Input u for the system as 、u bs 、u cs ,i a 、i b 、i c Output y for the system a1 、y b1 、y c1 ;i a 、i b 、i c Is a state variable x a1 、x b1 、x c1 The first order system was constructed as follows:
Figure FDA0003761056170000042
Figure FDA0003761056170000043
Figure FDA0003761056170000044
let the state variable x a2 =f a (i a )、x b2 =f b (i b )、x c2 =f c (i c ) The new system is constructed as follows:
Figure FDA0003761056170000045
Figure FDA0003761056170000046
Figure FDA0003761056170000047
4. the model mismatch compensation method for the model predictive controlled three-phase grid-connected inverter according to claim 3, wherein the step S3 specifically comprises:
will output the inverter voltage u an 、u bn 、u cn Phase current i of three phases on the inversion side a 、i b 、i c And predicting an initial value u of the inverter output voltage anref0 、u bnref0 、u cnref0 Substituting the model mismatch compensation module to calculate as follows:
compensation of a-phase model mismatch:
Figure FDA0003761056170000051
and b-phase model mismatch compensation:
Figure FDA0003761056170000052
c-phase model mismatch compensation:
Figure FDA0003761056170000053
wherein z is a1 、z b1 、z c1 Is an estimate of the three-phase current,
Figure FDA0003761056170000054
are each z a1 、z b1 、z c1 The derivative of (a) of (b),
Figure FDA0003761056170000055
are each z a2 、z b2 、z c2 Derivative of e a1 、e b1 、e c1 Inversion side three-phase currentAn error value of the estimated value and the three-phase current sample value.
5. The model mismatch compensation method for the model predictive controlled three-phase grid-connected inverter according to claim 4, wherein the step S4 specifically comprises:
compensating unknown disturbance of the system to the initial value u of the output voltage of the prediction inverter anref0 、u bnref0 、u cnref0 Obtaining the output voltage of the three-phase prediction inverter, and obtaining the compensated network side reference voltage at the moment k:
Figure FDA0003761056170000056
6. the model mismatch compensation method for the model predictive controlled three-phase grid-connected inverter according to claim 1, wherein the cost function g (k) is specifically:
g(k)=(u anref (k)-u a (k)) 2 +(u bnref (k)-u b (k)) 2 +(u cnref (k)-u c (k)) 2
wherein u is a (k)、u b (k)、u c (k) Is the predicted inverter output voltage of each voltage vector.
CN202210870667.1A 2022-07-22 2022-07-22 Model prediction control three-phase grid-connected inverter model mismatch compensation method Active CN115241912B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210870667.1A CN115241912B (en) 2022-07-22 2022-07-22 Model prediction control three-phase grid-connected inverter model mismatch compensation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210870667.1A CN115241912B (en) 2022-07-22 2022-07-22 Model prediction control three-phase grid-connected inverter model mismatch compensation method

Publications (2)

Publication Number Publication Date
CN115241912A true CN115241912A (en) 2022-10-25
CN115241912B CN115241912B (en) 2024-07-30

Family

ID=83676073

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210870667.1A Active CN115241912B (en) 2022-07-22 2022-07-22 Model prediction control three-phase grid-connected inverter model mismatch compensation method

Country Status (1)

Country Link
CN (1) CN115241912B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117240126A (en) * 2023-11-15 2023-12-15 通达电磁能股份有限公司 Limited set model predictive control method, system, terminal and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109004669A (en) * 2018-07-26 2018-12-14 华中科技大学 Three-phase grid-connected inverter based on interference observer compensation improves passive control method
CN111221253A (en) * 2020-03-11 2020-06-02 国网江苏省电力有限公司泗洪县供电分公司 Robust model prediction control method suitable for three-phase grid-connected inverter
CN112311290A (en) * 2020-10-26 2021-02-02 江苏大学 Robust prediction permanent magnet synchronous hub motor sensorless controller
CN113472257A (en) * 2021-06-07 2021-10-01 浙江工业大学 Disturbance compensation-based finite set model prediction current control method for permanent magnet direct-drive wind power generation system
CN114243935A (en) * 2021-09-13 2022-03-25 西安交通大学 Wireless power transmission control method and system based on P & O method and model prediction

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109004669A (en) * 2018-07-26 2018-12-14 华中科技大学 Three-phase grid-connected inverter based on interference observer compensation improves passive control method
CN111221253A (en) * 2020-03-11 2020-06-02 国网江苏省电力有限公司泗洪县供电分公司 Robust model prediction control method suitable for three-phase grid-connected inverter
CN112311290A (en) * 2020-10-26 2021-02-02 江苏大学 Robust prediction permanent magnet synchronous hub motor sensorless controller
CN113472257A (en) * 2021-06-07 2021-10-01 浙江工业大学 Disturbance compensation-based finite set model prediction current control method for permanent magnet direct-drive wind power generation system
CN114243935A (en) * 2021-09-13 2022-03-25 西安交通大学 Wireless power transmission control method and system based on P & O method and model prediction

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王楠楠;刘泽浩;李洋;: "基于滤波电感辨识及延时补偿的并网逆变器模型预测控制", 曲阜师范大学学报(自然科学版), no. 04, 15 October 2017 (2017-10-15), pages 59 - 63 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117240126A (en) * 2023-11-15 2023-12-15 通达电磁能股份有限公司 Limited set model predictive control method, system, terminal and storage medium
CN117240126B (en) * 2023-11-15 2024-01-23 通达电磁能股份有限公司 Limited set model predictive control method, system, terminal and storage medium

Also Published As

Publication number Publication date
CN115241912B (en) 2024-07-30

Similar Documents

Publication Publication Date Title
CN107196534B (en) A kind of single-phase inverter finite-time control method based on interference observer
Sharma et al. Real-time implementation of shunt active power filter with reduced sensors
CN109787491A (en) Three-phase Vienna rectifier based on Virtual shipyard predicts direct Power Control method
CN109245570B (en) PWM rectifier control method and device based on extended state observer
CN113285481B (en) Grid-connected converter inductance parameter online estimation method, prediction control method and system
CN110460250A (en) A kind of Three-Phase PWM Rectifier direct Power Control method
CN109802433B (en) Grid-connected inverter power oscillation suppression system and method
TWI792934B (en) Dc-ac inverter system using state observer and control method thereof
WO2022105068A1 (en) Control method and device for grid-connected inverter
CN112310991B (en) Energy storage converter improved finite set model prediction control method based on disturbance observation
Zhou et al. Time delay compensation-based fast current controller for active power filters
CN115241912B (en) Model prediction control three-phase grid-connected inverter model mismatch compensation method
Zhou et al. Hybrid prediction-based deadbeat control for a high-performance shunt active power filter
CN108964119B (en) Common-mode voltage estimation method for T-type three-level grid-connected inverter
Shi et al. Modified model predictive control of voltage source inverter
CN103078531B (en) Direct-current component control system and method for three-phase inverter
CN102946110B (en) Fixed frequency model prediction control method for voltage type PWM (Pulse Width Modulation) rectifier in process of voltage unbalance drop
CN115459335B (en) Inverter model prediction control method for improving stability of direct-current micro-grid
CN107528463A (en) A kind of current on line side control method and device of Single-phase PWM Rectifier
CN209787027U (en) Feedforward sampling circuit capable of effectively suppressing ripple voltage and switching power supply thereof
CN101963787A (en) Dual feedback loop control method of power active filter
CN116470755A (en) Continuous nonsingular terminal sliding mode control method of Buck converter
CN116979535A (en) Dual harmonic current detection method for active power filter
CN104022510B (en) Quick and precisely detect the quality of power supply control method of instruction signal
CN115296331A (en) Mapping self-adaptive backstepping sliding mode control method of LCL type photovoltaic grid-connected inverter

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant