CN117914105A - Three-phase PWM rectifier model predictive control method for light storage direct-soft system - Google Patents
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Abstract
The invention discloses a three-phase PWM rectifier model predictive control method for an optical storage direct-soft system, which comprises the steps of generating an active current reference value through a PI controller after a direct-current bus voltage and a direct-current side voltage reference value are differenced, setting a reactive current reference value to 0 so as to ensure a unit power factor, and then carrying out conversion from a two-phase static coordinate system to generate an alpha-axis current reference value and a beta-axis current reference value under the two-phase static coordinate system; calculating the action time of three different switch states in the switch sequence, and predicting the current of the next sampling period in the switch sequence; and optimizing the cost function, and finding out a group of switch sequences which enable the absolute value of the cost function to be minimum in the switch sequences, wherein the group of switch sequences are used for modulating the three-phase PWM rectifier of the next control period. According to the invention, model predictive current control and PWM modulation are combined, so that the switching frequency is fixed, the design difficulty of a filter is reduced, and better dynamic and static control performance is obtained.
Description
Technical Field
The invention relates to the technical field of power electronics, in particular to a three-phase PWM rectifier model predictive control method for an optical storage direct-soft system.
Background
In the application background of an optical storage direct-soft system, an energy source system of an electric automobile and the like, bidirectional power transmission between a network side unit and a direct-current bus is realized through a three-phase PWM rectifier, so that the characteristics of the three-phase PWM rectifier, such as voltage gain range, power density and the like, directly influence the operation performance of the system. The three-phase PWM rectifier generally adopts a double closed-loop control structure of combining a voltage outer loop and a current inner loop under a d-q coordinate system, and good steady-state performance can be obtained through the design and setting of parameters of the double-loop PI controller. The traditional double closed-loop control strategy consisting of the voltage outer ring and the current inner ring is simple in principle, easy to realize and good in steady-state performance, but the dynamic performance of the double closed-loop method is poor when the network side voltage fluctuates, the load changes, especially the photovoltaic side output power fluctuates in the optical storage direct-soft system, the direct-current bus side load switches and the like. The control method proposed at present comprises sliding mode control, self-adaptive control, dead beat control, model prediction control and the like.
The sliding mode control method generally has good dynamic performance, but needs higher switching frequency to ensure the steady-state performance, has certain dependence on system parameters and is complex in controller design; the control strategy of the power grid voltage self-adaptive rectifier improves the working reliability of the rectifier and enhances the robustness of the rectifier to the network side voltage fluctuation at the same time by observing the network side voltage, taking the saturation of active current control as an opening condition and injecting reactive current to stabilize the direct current side voltage; the dead beat control generally utilizes space vector modulation to fix the switching frequency of direct power control and current prediction control, has good dynamic response speed, and also has a certain degree of dependence on system parameters; model predictive control has shown great advantage in dealing with complex constraint optimization problems of nonlinear systems, and has received extensive attention. The method predicts the variation behavior of the variable in the predefined time through the established system model, and selects the optimal path by using the designed cost function, thereby theoretically achieving the optimal control purpose. Compared with classical control strategies, the method has the main characteristics of establishing a system model, adding feedback correction and continuous rolling optimization, has good dynamic performance in the limited set model predictive control, is flexible and convenient in cost function design, but has unfixed steady-state switching frequency, and causes difficulty in filter design.
Therefore, in order to ensure the power quality and the performance during load switching during the stable operation of the rectifier, and to make the control system easy to design and have a certain anti-interference capability, it is necessary to provide a PWM rectifier control strategy with good steady-state performance, good dynamic performance, simple design and strong robustness.
Disclosure of Invention
In order to solve the problems, the invention provides a three-phase PWM rectifier model predictive control method for an optical storage direct-soft system, which utilizes PWM modulation links to fix the switching frequency of the system so as to meet the requirements on the steady-state performance of a converter, reduce the switching loss and simplify the filter design. Meanwhile, good dynamic performance of model prediction control is reserved.
The invention is realized by the following technical scheme: the three-phase PWM rectifier model predictive control method for the light storage direct-soft system comprises the following steps of:
Step one, generating an active current reference value i d * through a PI controller after a direct current bus voltage u dc and a direct current side voltage reference value u dc * are differenced, setting a reactive current reference value i q * to be 0 so as to ensure a unit power factor, and then carrying out conversion from a two-phase static coordinate system to a two-phase static coordinate system, namely generating an alpha-axis current reference value i α * and a beta-axis current reference value i β * under the two-phase static coordinate system, wherein a phase theta used for converting the two-phase rotating coordinate system to the two-phase static coordinate system is obtained by a network side voltage by a phase-locked loop;
Calculating the action time of three different switch states in the 12 groups of switch sequences (V 0～11), wherein the action time comprises the action time t 1 of a first non-zero voltage vector, the action time t 2 of a second non-zero voltage vector and the action time t 0 of a zero voltage vector, and predicting the current of the next sampling period under the 12 groups of switch sequences;
And thirdly, starting an online cost function optimizing process, namely finding out a group of switch sequences which enable the absolute value of the cost function to be the minimum value J min in 12 groups of switch sequences, and using the switch sequences for modulating the three-phase PWM rectifier in the next control period.
Further preferably, the action time of the different switching states is calculated by the influence of the current change rate on the actual current and by combining the idea of dead beat control, and the predicted value at time k+1 is predicted by the following formula:
Wherein i α (k) is an α -axis current predicted value at time k under a two-phase stationary coordinate system, i α (k+1) is an α -axis current predicted value at time k+1 under a two-phase stationary coordinate system, i β (k) is a β -axis current predicted value at time k under a two-phase stationary coordinate system, i β (k+1) is a β -axis current predicted value at time k+1 under a two-phase stationary coordinate system, σ α1 is an α -axis current change rate corresponding to a first non-zero voltage vector, σ α2 is an α -axis current change rate corresponding to a second non-zero voltage vector, σ α0 is an α -axis current change rate corresponding to a zero voltage vector, σ β1 is a β -axis current change rate corresponding to the first non-zero voltage vector, σ β2 is a β -axis current change rate corresponding to a second non-zero voltage vector, and σ β0 is a β -axis current change rate corresponding to a zero voltage vector; t 1 is the time of action of the first non-zero voltage vector, t 2 is the time of action of the second non-zero voltage vector, and t 0 is the time of action of the zero voltage vector.
Further preferably, the current change rate is calculated by:
The α -axis current change rate corresponding to the ith voltage vector of σ αi, σ βi, and i∈ {1,2,0} are calculated by the following equation:
Where e α is the α -axis net side voltage sample, e β is the β -axis net side voltage sample, u αi is the α -axis component of the ith voltage vector, and u βi is the β -axis component of the ith voltage vector.
It is further preferred that the current is tracked rapidly using a dead beat control method, namely:
wherein, For the alpha-axis current reference value in the k moment two-phase stationary coordinate system,/>Is the beta-axis current reference value under the two-phase stationary coordinate system at the moment k.
Further preferably, from the formulas (1) to (3), the respective voltage vector operation time t 1、t2、t0 can be obtained:
Wherein Deltai α (k) is the alpha-axis current tracking error at the moment k+1 in the two-phase stationary coordinate system, deltai β (k) is the beta-axis current tracking error at the moment k+1 in the two-phase stationary coordinate system, T s is the control period.
Further preferably, after screening available switching sequences and calculating the corresponding time t 1、t2、t0 for each voltage vector, i α (k+1) and i β (k+1) are predicted from equation (1) and equation (2).
Further preferably, the cost function is set as:
Wherein S a(k)1 is the switching state of the a phase of the voltage vector used at the moment k first and last, and S a(k-1)1 is the switching state of the a phase of the voltage vector used at the moment k-1 first and last; s b(k)1 is the switching state of the b phase of the voltage vector used first and last at time k, and S c(k-1)1 is the switching state of the a phase of the voltage vector used first and last at time k-1.
The invention also provides a nonvolatile computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the three-phase PWM rectifier model prediction control method for the light storage direct-soft system.
The present invention provides an electronic device including: one or more processors and memory. The electronic device may further include: an input device and an output device; the processor, memory, input device, and output device are connected by a bus or other means; the processor executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory, namely, the three-phase PWM rectifier model prediction control method for the optical direct-soft system is realized.
Compared with the prior art, the invention combines model predictive current control and PWM modulation, changes the combination of two effective voltage vectors and one zero voltage vector in each period from a single voltage vector in each control period, calculates the acting time of each vector according to the reference current, and combines PWM modulation successfully, thus fixing the switching frequency, namely PWM carrier frequency, having regular current harmonic frequency, reducing the design difficulty of a filter, reducing the calculated amount and obtaining better dynamic and static control performance. The beneficial effects of (a) are as follows: the invention adopts model predictive current control, does not need a large number of power calculation parts, directly controls the current, and reduces the calculated amount more. The current THD is reduced as much as possible and the current waveform is very smooth and sinusoidal. The PWM rectifier can rapidly switch bidirectional operation due to the requirement of application scenes, and can be widely applied to occasions such as electric automobiles, light storage direct-soft systems and the like.
Drawings
Fig. 1 is a system control block diagram of the present invention.
FIG. 2 is a graph of a-phase network side voltage and current waveforms at system steady state;
FIG. 3 is a graph of a-phase network side current spectrum at system steady state;
Fig. 4 is a dc side voltage waveform at system steady state.
FIG. 5 shows a phase current and error at different weighting coefficients λ in steady state;
fig. 6 shows the net side current THD and the average switching frequency at steady state with different weighting coefficients λ.
FIG. 7 is a DC side voltage waveform during load switching;
fig. 8 is a voltage-current waveform of the a-phase network side at the time of load switching.
FIG. 9 is a DC side voltage waveform at the time of a bi-directional operation switch;
Fig. 10 is a graph showing a-phase network side voltage and current waveforms at the time of switching between bidirectional operations.
The symbols in the drawings are illustrated: u dc is direct current side voltage, u dc * is direct current side voltage reference value, i d * is active current reference value, i q * is reactive current reference value, i α * is alpha axis current reference value under two-phase static coordinate system, i β * is beta axis current reference value under two-phase static coordinate system, V 0～11 is 12 sets of switch sequences, i (k) is k moment network side current sampling value, e (k) is k moment network side voltage sampling value, and S (k-1) is last switch state of k-1 moment system; t 1 is the action time of a first non-zero voltage vector, t 2 is the action time of a second non-zero voltage vector, t 0 is the action time of a zero voltage vector, i α (k+1) is the alpha-axis current predicted value at the moment k+1 under a two-phase static coordinate system, i β (k+1) is the beta-axis current predicted value at the moment k+1 under the two-phase static coordinate system, J min is the minimum value of the absolute value of a cost function, V x (k) is the optimal switching sequence calculated at the moment k, e a is the a-phase network side voltage, i a is the a-phase network side current, Δi a is the a-phase network side current tracking error, and λ is the switching frequency weight coefficient.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in further detail below.
Referring to fig. 1, a three-phase PWM rectifier model predictive control method for an optical storage direct-soft system includes the following steps:
Step one, generating an active current reference value i d * through a PI controller after a direct current bus voltage u dc and a direct current side voltage reference value u dc * are differed, setting a reactive current reference value i q * to be 0 so as to ensure a unit power factor, and then converting a two-phase static coordinate system into a two-phase static coordinate system, namely generating an alpha-axis current reference value i α * and a beta-axis current reference value i β * under the two-phase static coordinate system, wherein a phase θ used for converting the two-phase rotating coordinate system into the two-phase static coordinate system is obtained by a phase-locked loop through network side voltages (a-phase network side voltage e a, b-phase network side voltage e b and c-phase network side voltage e c);
Calculating the action time of three different switch states in the 12 groups of switch sequences (V 0～11), wherein the action time comprises the action time t 1 of a first non-zero voltage vector, the action time t 2 of a second non-zero voltage vector and the action time t 0 of a zero voltage vector, and predicting the current of the next sampling period under the 12 groups of switch sequences;
And thirdly, starting an online cost function optimizing process, namely finding out a group of switch sequences which enable the absolute value of the cost function to be the minimum value J min in 12 groups of switch sequences, and using the switch sequences for modulating the three-phase PWM rectifier in the next control period.
The control of the system comprises a direct current bus voltage outer ring, calculation links of t 1、t2、t0 corresponding to 12 switching sequences, calculation links of an alpha-axis current predicted value i α (k+1) and a beta-axis current predicted value i β (k+1) at the moment of k+1, a switching sequence optimizing link for minimizing a cost function and a switching sequence application link. The active current reference value i d * is output by a voltage outer ring, the reactive current reference value i q * is set to 0, so that the rectifier operates under a unit power factor, t 1、t2、t0 corresponding to each switch sequence is calculated through an alpha-axis current reference value i α * and a beta-axis current reference value i β * under a two-phase static coordinate system, a k moment network side current sampling value i (k), a k moment network side voltage sampling value e (k) and 12 switch sequences, and the calculated switch sequence with any value of t 1、t2、t0 being 0 is ignored.
The selection of these 12 switching sequences is also regular, and in order to achieve accurate tracking of the current and minimize tracking errors of the actual current and the given current, each switching sequence should include both a voltage vector that increases and decreases the α -axis current predictor i α and a voltage vector that increases and decreases the β -axis current predictor i β and a zero vector. Through calculation, each sector is provided with two groups of switch sequences, 6 sectors correspond to 12 groups of switch sequences, each group of switch sequences is formed by combining two non-zero voltage vectors and one zero voltage vector, and the switch frequency is enabled to be smaller as far as possible in the action sequence of each voltage vector, and the action sequence is the same as that in space vector modulation SVPWM.
Regarding the calculation of the acting time of each voltage vector in the switching sequence, the influence of the current change rate on the actual current can be calculated by combining the concept of dead beat control, and then the predicted value at the time k+1 can be predicted by the following formula:
Wherein i α (k) is an α -axis current predicted value at time k under a two-phase stationary coordinate system, i α (k+1) is an α -axis current predicted value at time k+1 under a two-phase stationary coordinate system, i β (k) is a β -axis current predicted value at time k under a two-phase stationary coordinate system, i β (k+1) is a β -axis current predicted value at time k+1 under a two-phase stationary coordinate system, σ α1 is an α -axis current change rate corresponding to a first non-zero voltage vector, σ α2 is an α -axis current change rate corresponding to a second non-zero voltage vector, σ α0 is an α -axis current change rate corresponding to a zero voltage vector, σ β1 is a β -axis current change rate corresponding to the first non-zero voltage vector, σ β2 is a β -axis current change rate corresponding to a second non-zero voltage vector, and σ β0 is a β -axis current change rate corresponding to a zero voltage vector; t 1 is the time of action of the first non-zero voltage vector, t 2 is the time of action of the second non-zero voltage vector, and t 0 is the time of action of the zero voltage vector.
The α -axis current change rate corresponding to the ith voltage vector of σ αi, σ βi, and i∈ {1,2,0} are calculated by the following equation:
Where e α is the alpha-axis net side voltage sample, e β is the beta-axis net side voltage sample, u αi is the alpha-axis component of the ith voltage vector, u βi is the beta-axis component of the ith voltage vector,
Using dead beat control method, the current is tracked rapidly, namely:
wherein, For the alpha-axis current reference value in the k moment two-phase stationary coordinate system,/>Is the beta-axis current reference value under the two-phase stationary coordinate system at the moment k.
From the equations (1) to (3), the time t for each voltage vector to act can be obtained 1、t2、t0
Wherein Deltai α (k) is the alpha-axis current tracking error at the moment k+1 in the two-phase stationary coordinate system, deltai β (k) is the beta-axis current tracking error at the moment k+1 in the two-phase stationary coordinate system, T s is the control period.
After the available switching sequences are screened out and the corresponding time t 1、t2、t0 of each voltage vector is calculated, i α (k+1) and i β (k+1) are predicted according to the formula (1) and the formula (2), the calculated amount of the minimum cost function optimizing process is greatly reduced because the available switching sequences are basically within 3, and the calculation of the absolute value minimum value J min of the cost function is easier to calculate for 8 vector rolling optimizing in the next step compared with the traditional model prediction control.
The cost function J can only consider the current tracking error as a single target, the current tracking precision is used as a unique index, the target of reducing the switching frequency can also be considered, the switching state with the switching frequency as less as possible is selected under the condition of ensuring the current tracking error to be smaller, and the switching frequency weight coefficient lambda is required to be reasonably selected when the cost function J is designed.
The cost function is typically set as:
Wherein S a(k)1 is the switching state of the a phase of the voltage vector used at the moment k first and last, and S a(k-1)1 is the switching state of the a phase of the voltage vector used at the moment k-1 first and last; s b(k)1 is the switching state of the b phase of the voltage vector used first and last at time k, and S c(k-1)1 is the switching state of the a phase of the voltage vector used first and last at time k-1.
After the optimal switching sequence is obtained, the corresponding vector acting time can be combined, the PWM modulation link is entered, and a driving signal is output and applied to the rectifier.
As can be seen from fig. 2 and 4, the control system has good dynamic and static performance. Fig. 3 shows steady state results of the system under different switching frequency weight coefficients λ, where the switching frequency weight coefficient λ can be properly reduced when the switching frequency requirement is low, so as to obtain better static performance, and also, according to the requirement, proper λ can be selected from the switching frequency and the network side current THD. Fig. 5 is a switching process of the bi-directional operation of the rectifier, under this control method, the switching process of rectification-inversion is smooth and rapid and does not have a great influence on the current THD. The invention adopts current control to reduce the current THD as much as possible, the current waveform is very smooth and sinusoidal, as shown in figures 2, 8 and 10, the PWM rectifier of the invention can rapidly switch the bidirectional operation, and the figure 10 gives corresponding performance waveforms.
In other embodiments, a non-volatile computer storage medium is provided, the computer storage medium storing computer executable instructions that are capable of executing the three-phase PWM rectifier model predictive control method for a light storage direct soft system of any of the above embodiments.
The present embodiment provides an electronic device including: one or more processors and memory. The electronic device may further include: input means and output means. The processor, memory, input devices, and output devices may be connected by a bus or other means. The memory is the non-volatile computer readable storage medium described above. The processor executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory, that is, the three-phase PWM rectifier model predictive control method for the optical storage direct-soft system described in the above embodiment is implemented. The input device may receive input numeric or character information and generate key signal inputs related to user settings and function control of the short-term photovoltaic power generation power prediction method based on transfer learning. The output means may comprise a display device such as a display screen.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. The scheme in the embodiment of the application can be realized by adopting various computer languages, such as object-oriented programming language Java, an transliteration script language JavaScript and the like.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the application.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. The three-phase PWM rectifier model prediction control method for the light storage direct-soft system is characterized by comprising the following steps of:
Step one, generating an active current reference value i d * through a PI controller after a direct current bus voltage u dc and a direct current side voltage reference value u dc * are differenced, setting a reactive current reference value i q * to be 0 so as to ensure a unit power factor, and then carrying out conversion from a two-phase static coordinate system to a two-phase static coordinate system, namely generating an alpha-axis current reference value i α * and a beta-axis current reference value i β * under the two-phase static coordinate system, wherein a phase theta used for converting the two-phase rotating coordinate system to the two-phase static coordinate system is obtained by a network side voltage by a phase-locked loop;
Calculating the action time of three different switch states in the 12 groups of switch sequences (V 0～11), wherein the action time comprises the action time t 1 of a first non-zero voltage vector, the action time t 2 of a second non-zero voltage vector and the action time t 0 of a zero voltage vector, and predicting the current of the next sampling period under the 12 groups of switch sequences;
And thirdly, starting an online cost function optimizing process, namely finding out a group of switch sequences which enable the absolute value of the cost function to be the minimum value J min in 12 groups of switch sequences, and using the switch sequences for modulating the three-phase PWM rectifier in the next control period.
2. The predictive control method for a three-phase PWM rectifier model of an optical storage direct-soft system according to claim 1, wherein the time of action of different switching states is calculated from the influence of the current change rate on the actual current in combination with the idea of dead beat control, and the predicted value is predicted at time k+1 by the following equation:
Wherein i α (k) is an α -axis current predicted value at time k under a two-phase stationary coordinate system, i α (k+1) is an α -axis current predicted value at time k+1 under a two-phase stationary coordinate system, i β (k) is a β -axis current predicted value at time k under a two-phase stationary coordinate system, i β (k+1) is a β -axis current predicted value at time k+1 under a two-phase stationary coordinate system, σ α1 is an α -axis current change rate corresponding to a first non-zero voltage vector, σ α2 is an α -axis current change rate corresponding to a second non-zero voltage vector, σ α0 is an α -axis current change rate corresponding to a zero voltage vector, σ β1 is a β -axis current change rate corresponding to the first non-zero voltage vector, σ β2 is a β -axis current change rate corresponding to a second non-zero voltage vector, and σ β0 is a β -axis current change rate corresponding to a zero voltage vector; t 1 is the time of action of the first non-zero voltage vector, t 2 is the time of action of the second non-zero voltage vector, and t 0 is the time of action of the zero voltage vector.
3. The predictive control method for a three-phase PWM rectifier model of an optical storage direct-soft system according to claim 2, wherein the calculation process of the current change rate is as follows:
The α -axis current change rate corresponding to the ith voltage vector of σ αi, σ βi, and i∈ {1,2,0} are calculated by the following equation:
Where e α is the α -axis net side voltage sample, e β is the β -axis net side voltage sample, u αi is the α -axis component of the ith voltage vector, and u βi is the β -axis component of the ith voltage vector.
4. A three-phase PWM rectifier model predictive control method for an optical storage direct-soft system according to claim 3, wherein the dead beat control method is used to track the current rapidly, namely:
wherein, For the alpha-axis current reference value in the k moment two-phase stationary coordinate system,/>Is the beta-axis current reference value under the two-phase stationary coordinate system at the moment k.
5. The predictive control method for a three-phase PWM rectifier model of a light-storing direct-soft system according to claim 4, wherein the time t 1、t2、t0 of each voltage vector is calculated from the formulas (1) to (3):
Wherein Deltai α (k) is the alpha-axis current tracking error at the moment k+1 in the two-phase stationary coordinate system, deltai β (k) is the beta-axis current tracking error at the moment k+1 in the two-phase stationary coordinate system, T s is the control period.
6. The predictive control method for a three-phase PWM rectifier model of a light-storing direct-soft system according to claim 5, wherein i α (k+1) and i β (k+1) are predicted from equation (1) and equation (2) after screening available switching sequences and calculating the corresponding time t 1、t2、t0 of each voltage vector.
7. The predictive control method for a three-phase PWM rectifier model of a light-storing direct-soft system according to claim 4, wherein the cost function is set as:
Wherein S a(k)1 is the switching state of the a phase of the voltage vector used at the moment k first and last, and S a(k-1)1 is the switching state of the a phase of the voltage vector used at the moment k-1 first and last; s b(k)1 is the switching state of the b phase of the voltage vector used first and last at time k, and S c(k-1)1 is the switching state of the a phase of the voltage vector used first and last at time k-1.
8. A non-volatile computer storage medium having stored thereon computer executable instructions for performing the three-phase PWM rectifier model predictive control method for an optical storage direct soft system according to any one of claims 1-7.
9. An electronic device, comprising: one or more processors and memory. The electronic device may further include: an input device and an output device; the processor, memory, input device, and output device are connected by a bus or other means; the method is characterized in that the processor executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory, namely, the three-phase PWM rectifier model prediction control method for the optical storage direct-soft system is realized according to any one of claims 1-7.
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