CN112701883A - Power grid simulator control system and method based on fuzzy PI and QPR - Google Patents

Power grid simulator control system and method based on fuzzy PI and QPR Download PDF

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CN112701883A
CN112701883A CN202011604470.0A CN202011604470A CN112701883A CN 112701883 A CN112701883 A CN 112701883A CN 202011604470 A CN202011604470 A CN 202011604470A CN 112701883 A CN112701883 A CN 112701883A
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control
current
voltage
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qpr
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任怀信
谢源
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Shanghai Dianji University
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    • 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
    • H02M1/08Circuits specially adapted for the generation of control voltages for semiconductor devices incorporated in static converters
    • 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
    • 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
    • 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]

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Feedback Control In General (AREA)

Abstract

The invention relates to a power grid simulator control system and a method thereof based on fuzzy PI and QPR, the system comprises a direct current power supply module, an inversion module, a filter and a load which are connected in sequence, the control end of the inversion module is connected to the output end of the control module, the input end of the control module is respectively connected with the filter and the load, the control module carries out voltage control based on a voltage outer ring fuzzy PI and current control based on a current inner ring QPR so as to modulate and output a switch control signal to the inversion module; and the inversion module inverts the direct current output by the direct current power supply module according to the switch control signal and outputs the inverted direct current to obtain an alternating current fault test waveform. Compared with the prior art, the invention can autonomously optimize the PI control parameters according to the change of the system, so that the system always operates in the optimal state, thereby achieving the output of the required waveform, and has the advantages of strong anti-interference capability, high response speed and good stability.

Description

Power grid simulator control system and method based on fuzzy PI and QPR
Technical Field
The invention relates to the technical field of power grid simulator control, in particular to a power grid simulator control system and method based on fuzzy PI and QPR.
Background
During the actual operation of the power grid, various faults or abnormal states of the power grid may occur. With the gradual expansion of power networks, faults generated by power grids in operation are inevitable, and the power grids have randomness and uncontrollable property, with the development of new energy power generation technology, the scale of new energy power generation grid connection is continuously expanded, in order to ensure the normal and stable operation of the power grids, the existing research provides a power grid simulator capable of simulating power grid fault environment and detecting grid connection adaptability of various electrical equipment, in the practical application of the power grid simulator, the power grid simulator must be controlled in a relevant way, and the current control strategy mainly comprises the following steps:
the single closed loop control has poor suppression effect on the disturbance of the nonlinear load connected with the output end, and the single closed loop cannot reduce the influence of nonlinear tested equipment;
the double closed-loop control can effectively improve the load disturbance resistance of a single closed-loop system, and has the defects that high bandwidth is required to inhibit disturbance, and the requirement on the control speed is high;
multivariable state feedback control can greatly improve the dynamic effect of the system, but the dynamic characteristics of the load are difficult to take into account during modeling, an unstable phenomenon may exist during load change, and the control is more complex due to the large calculation amount of the dynamic control of the system;
repeated control is carried out, the output waveform of the inverter module in the control mode is stable, but the response to the load is insufficient, and the aperiodic disturbance cannot be restrained;
the method has the advantages that the method is free of beat control, fast in dynamic response and small in waveform distortion rate, can still output waveforms with higher quality when the switching frequency is not high, but has high requirements on the accuracy of a model established by the whole system, and can cause output oscillation if the established model has larger errors with the actual situation;
the sliding mode variable structure control has stronger robustness, but the sampling of the system and the determination of the sliding mode surface restrict the control performance, and simultaneously high-frequency jitter is easily caused.
The control mode cannot provide good anti-interference capability and response speed at the same time, and the quality of output waveforms is difficult to ensure.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a power grid simulator control system and a method thereof based on fuzzy PI and QPR so as to improve the anti-interference capability, the dynamic response speed and the steady-state performance of the whole power grid simulator.
The purpose of the invention can be realized by the following technical scheme: a power grid simulator control system based on fuzzy PI and QPR comprises a direct-current power supply module, an inversion module, a filter and a load which are sequentially connected, wherein the control end of the inversion module is connected to the output end of the control module, the input end of the control module is respectively connected with the filter and the load, the control module performs voltage control based on a voltage outer ring fuzzy PI and performs current control based on a current inner ring QPR (quasi-proportional resonance) so as to modulate and output a switch control signal to the inversion module;
and the inversion module inverts the direct current output by the direct current power supply module according to the switch control signal and outputs the inverted direct current to obtain an alternating current fault test waveform.
Further, the direct current power supply module comprises a rectifying unit connected with the output end of the power grid, and the rectifying unit is used for rectifying the three-phase alternating current output by the output end of the power grid into direct current.
Further, the filter is embodied as an LC filter.
Further, the control module comprises a voltage comparison unit, a PI controller, a fuzzy controller, a current comparison unit, a QPR controller and a signal generator, wherein the voltage comparison unit is respectively connected with the PI controller and the fuzzy controller, the fuzzy controller is connected to the PI controller, the PI controller is connected to the QPR controller through the current comparison unit, the QPR controller is connected to the signal generator, the signal generator is connected with the control end of the inverter module, and the voltage comparison unit is used for comparing the load voltage or the capacitor voltage of the filter with a preset reference voltage to obtain a voltage error signal;
the fuzzy controller outputs corresponding PI control parameter increment to the PI controller according to the voltage error signal;
the PI controller outputs a current inner loop standard current according to the voltage error signal and the PI control parameter;
the current comparison unit is used for comparing the current inner loop standard current with the inductive current of the filter to obtain a current regulation signal;
the QPR controller is used for tracking a current regulation signal without static error to obtain a current control signal;
the signal generator is used for modulating the current control signal to obtain a corresponding switch control signal.
Further, the voltage comparison unit is connected between the filter and the load through a voltage sampling unit, and the voltage sampling unit is used for collecting the voltage of the load or the voltage of the capacitor of the filter.
Furthermore, the current comparison unit is connected with an inductor of the filter through a current sampling unit, and the current sampling unit is used for collecting the inductor current of the filter.
Further, the switch control signal is specifically an SPWM control signal.
Further, the voltage comparison unit is connected to the fuzzy controller through a differentiation unit.
Further, the PI control parameter increment comprises a proportional control parameter increment and an integral control parameter increment.
A power grid simulator control method based on fuzzy PI and QPR comprises the following steps:
s1, collecting load voltage or capacitor voltage of the filter in real time;
s2, the control module compares the load voltage or the capacitor voltage collected in real time with a preset reference voltage to obtain a voltage error signal;
s3, the control module performs fuzzy PI control on the voltage error signal, on one hand, PI control parameters are automatically updated, and on the other hand, standard current of a current inner loop is generated;
s4, acquiring the inductive current of the filter in real time, and comparing the standard current of the current inner ring with the inductive current acquired in real time by the control module to obtain a current regulation signal;
s5, the control module sequentially carries out non-static tracking and waveform modulation on the current regulation signal to obtain a corresponding switch control signal;
and S6, the inversion module correspondingly changes the working state of the internal switch of the inversion module according to the switch control signal so as to invert the direct current output by the direct current power supply module and output to obtain an alternating current fault test waveform.
Compared with the prior art, the invention has the following advantages:
firstly, the control end of an inversion module in a power grid simulator is connected with a control module, the control module is respectively connected with a filter and a load, the control module is used for carrying out voltage control based on a voltage outer ring fuzzy PI and carrying out current control based on a current inner ring QPR by combining a preset reference voltage, a load voltage or a capacitor voltage acquired in real time and an inductive current acquired in real time, so as to modulate and output a switch control signal to the inversion module, and the inversion module in the power grid simulator can output a high-quality alternating current fault test waveform.
The control module carries out voltage control based on the voltage outer ring fuzzy PI, the PI controller is combined with the fuzzy controller, the PI control parameters can be adjusted in real time by using the fuzzy controller, when the system receives small disturbance, the fuzzy PI control of the voltage outer ring can automatically update PI control parameter increment by using the fuzzy control, and the original PI control parameters in the PI controller are added for carrying out voltage outer ring control.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic structural diagram of a power grid simulator in an embodiment;
FIG. 3 is a block diagram of an embodiment of a grid simulator control strategy;
FIG. 4 is a schematic diagram illustrating connection between PI fuzzy control and QPR control in an embodiment;
FIG. 5 is a schematic flow chart of the method of the present invention;
FIG. 6 is a diagram illustrating an outer ring current inner ring control structure of an embodiment of the present invention;
the notation in the figure is: 1. the device comprises a direct current power supply module, 101, a rectifying unit, 2, an inverter module, 3, a filter, 4, a load, 5, a control module, 501, a voltage comparison unit, 502, a PI controller, 503, a fuzzy controller, 504, a current comparison unit, 505, a QPR controller, 506 and a signal generator.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments.
Examples
As shown in fig. 1 to 3, a power grid simulator control system based on fuzzy PI and QPR includes a direct current power supply module 1, an inverter module 2, a filter 3, and a load 4, which are connected in sequence, where the direct current power supply module 1 includes a rectification unit 101 connected to an output end of a power grid, the rectification unit 101 is configured to rectify three-phase alternating current output from the output end of the power grid into direct current, a control end of the inverter module 2 is connected to an output end of a control module 5, an input end of the control module 5 is respectively connected to the filter 3 and the load 4, the filter 3 is specifically an LC filter, the control module 5 performs voltage control based on a voltage outer loop fuzzy PI and current control based on a current inner loop QPR, so as to modulate and output a switch control signal to the;
and the inversion module 2 inverts the direct current output by the direct current power supply module 1 according to the switch control signal and outputs the inverted direct current to obtain an alternating current fault test waveform.
The control module 5 includes a voltage comparison unit 501, a PI controller 502, a fuzzy controller 503, a current comparison unit 504, a QPR controller 505, and a signal generator 506, as shown in fig. 4, the voltage comparison unit 501 is directly connected to the PI controller 502, the voltage comparison unit 501 is connected to the fuzzy controller 503 through a differentiation unit (du/dt), the fuzzy controller 503 is connected to the PI controller 502, the PI controller 502 is connected to the QPR controller 505 through the current comparison unit 504, the QPR controller 505 is connected to the signal generator 506, the signal generator 506 is connected to a control end of the inverter module 2, and the voltage comparison unit 501 is configured to compare a voltage of the load 4 or a capacitor voltage of the filter 3 with a preset reference voltage to obtain a voltage error signal;
the fuzzy controller 503 outputs the corresponding PI control parameter increment (including the proportional control parameter increment Δ K) according to the voltage error signalpAnd integral control parameter increment Δ KI) To the PI controller 502;
the PI controller 502 outputs a current inner loop standard current according to the voltage error signal and the PI control parameter;
the current comparing unit 504 is configured to compare the current inner loop standard current with an inductor current of the filter 3 to obtain a current adjusting signal;
the QPR controller 505 is configured to track a current adjustment signal without a static error to obtain a current control signal;
the signal generator 506 is configured to modulate the current control signal to obtain a corresponding switch control signal, which is specifically an SPWM control signal in this embodiment.
In this embodiment, the voltage comparing unit 501 is connected between the filter 3 and the load 4 through a voltage sampling unit (such as a voltage sensor), and the voltage sampling unit is configured to collect a voltage of the load 4 or a capacitor voltage of the filter 3;
the current comparing unit 504 is connected to the inductor of the filter 3 through a current sampling unit, and the current sampling unit is used for collecting the inductor current of the filter 3.
The above system is applied to practice, and a specific control process is shown in fig. 5 and 6, and comprises the following steps:
s1, collecting load voltage U in real timeoOr capacitor voltage U of filterc
S2, the control module collects the load voltage U in real timeoOr capacitor voltage UcWith a predetermined reference voltage UrefComparing to obtain a voltage error signal;
s3, the control module performs fuzzy PI control on the voltage error signal, on one hand, the PI control parameters are automatically updated, and on the other hand, the standard current I of the current inner loop is generatedref
S4, collecting the inductive current I of the filter in real timeLThe control module is used for controlling the standard current I of the current inner ringrefWith real-time acquisition of the inductor current ILComparing to obtain a current regulation signal;
s5, the control module sequentially carries out non-static tracking and waveform modulation on the current regulation signal to obtain a corresponding switch control signal;
and S6, the inversion module correspondingly changes the working state of the internal switch of the inversion module according to the switch control signal so as to invert the direct current output by the direct current power supply module and output to obtain an alternating current fault test waveform.
In summary, the present invention is directed to the existing power grid simulator, and mainly controls the inverter module therein, and the whole control system includes a power supply part, a rectification part, an inverter part, a filter part, and a load part. The power supply part stores the alternating current electric energy generated by the power grid and is connected with the rectifying part; the rectification part is used for rectifying the three-phase alternating current through power electronic equipment and rectifying the three-phase alternating current into direct current; the inversion part is converted into various simulated fault waveforms through a control strategy and power electronic equipment so as to carry out subsequent test research; the filtering part filters various high-frequency harmonics generated by using power electronic equipment and only keeps the needed fundamental frequency and low-frequency part; the loads are mainly various loads in the power system. Considering that the main invention of the invention is an inversion control part, the invention mainly lies in the control strategy of the inversion control, and certain improvement is carried out on the basis of the original control, and the defects of the existing control strategy are corrected, thereby achieving better control effect and improving the dynamic response speed and the steady-state performance of the power grid simulator. Although the existing control strategy can perform control to achieve a certain effect, the system is always interfered in the operation process. The control parameters of the original design are not optimal any more, the operation deviates from the original track due to disturbance, the invention adopts the control theory capable of adjusting the parameters in real time and combines with the existing control to achieve the purpose of adjusting the parameters in real time, and the operating system can be quickly restored to the optimal operation state after being adjusted in real time even if receiving the disturbance, thereby improving the anti-interference capability, the dynamic response speed and the steady-state performance of the system.
In the specific control process, firstly, the collected load voltage or the capacitor voltage is compared with the set nominal reference voltage through voltage sampling (a voltage sensor) to obtain an error signal, and the error signal is subjected to fuzzy PI control, namely voltage outer loop control, to obtain the standard current of a current inner loop; then comparing with the inductive current, tracking without static error and modulating waveform to generate a signal (SPWM control signal) for controlling a switch power device in the inversion module. The system is in reciprocating circulation, when the system receives small disturbance, fuzzy PI control of the voltage outer ring can utilize fuzzy control, parameter increment is automatically updated, in addition, the parameter of the original PI is controlled by the voltage outer ring, the control strategy utilizes the fuzzy PI of the voltage outer ring to control the voltage, current control is carried out by current inner ring quasi-proportional resonance, the fuzzy control strategy and the fuzzy control strategy are matched with each other, the self-adaption of the fuzzy control is combined to carry out real-time adjustment on the PI parameter, the problems that the original PI control parameter is fixed and cannot be adjusted in real time can be solved, and the anti-jamming capability and the response speed of the system are.
The invention designs a power grid simulator control strategy based on fuzzy PI and QPR by utilizing the characteristics that fuzzy control does not need an accurate model and has self-adaptive capacity, is used as a novel composite control strategy, is different from the prior control strategy, can optimize parameters according to the change of a system, and leads the system to always run in the optimal state, thereby achieving the output of required waveforms. The characteristics of fuzzy control per se do not need to establish an accurate mathematical model of a controlled object in design, so that a control mechanism and a strategy are easy to accept and understand, the design is simple, and the application is convenient. Improve the steady-state control precision and improve the intelligent level and the adaptability. In practical application, fuzzy control is combined with PI control theory to play their advantages, so obtaining ideal control effect. The existing PI control strategy can not adjust parameters in real time, so that the system can not be in the state of optimal parameter operation after disturbance, and the output of waveforms is influenced. The invention combines PI and fuzzy, solves the defect that the parameters of the control system can not be adjusted by self, and obviously improves the control effect compared with the original control strategy. This concept can be applied not only to the control system designed herein, but also to other control areas. The system is influenced by the original system when being interfered, and the control system can adjust and optimize the whole control process according to the real-time parameters of the system.

Claims (10)

1. A power grid simulator control system based on fuzzy PI and QPR comprises a direct-current power supply module (1), an inversion module (2), a filter (3) and a load (4) which are sequentially connected, and is characterized in that a control end of the inversion module (2) is connected to an output end of a control module (5), an input end of the control module (5) is respectively connected with the filter (3) and the load (4), the control module (5) performs voltage control based on a voltage outer ring fuzzy PI and performs current control based on a current inner ring QPR so as to modulate and output a switch control signal to the inversion module (2); and the inversion module (2) inverts the direct current output by the direct current power supply module (1) according to the switch control signal, and outputs the inverted direct current to obtain an alternating current fault test waveform.
2. The fuzzy PI and QPR based power grid simulator control system according to claim 1, wherein the DC power supply module (1) comprises a rectifying unit (101) connected to the power grid output end, and the rectifying unit (101) is used for rectifying the three-phase AC output from the power grid output end into DC.
3. The fuzzy PI and QPR based grid simulator control system according to claim 1 characterized in that the filter (3) is in particular an LC filter.
4. The fuzzy PI and QPR based power grid simulator control system according to claim 3, wherein the control module (5) comprises a voltage comparison unit (501), a PI controller (502), a fuzzy controller (503), a current comparison unit (504), a QPR controller (505) and a signal generator (506), the voltage comparison unit (501) is respectively connected with the PI controller (502) and the fuzzy controller (503), the fuzzy controller (503) is connected to the PI controller (502), the PI controller (502) is connected to the QPR controller (505) through the current comparison unit (504), the QPR controller (505) is connected to the signal generator (506), the signal generator (506) is connected to the control end of the inversion module (2), the voltage comparison unit (501) is used for comparing the voltage of the load (4) or the capacitance voltage of the filter (3) with a preset reference voltage, obtaining a voltage error signal;
the fuzzy controller (503) outputs corresponding PI control parameter increment to the PI controller (502) according to the voltage error signal;
the PI controller (502) outputs a current inner loop standard current according to the voltage error signal and the PI control parameter;
the current comparison unit (504) is used for comparing the current inner loop standard current with the inductive current of the filter (3) to obtain a current regulation signal;
the QPR controller (505) is used for tracking a current regulation signal without static error to obtain a current control signal;
the signal generator (506) is used for modulating the current control signal to obtain a corresponding switch control signal.
5. The fuzzy PI and QPR based power grid simulator control system according to claim 4, wherein the voltage comparison unit (501) is connected between the filter (3) and the load (4) through a voltage sampling unit, and the voltage sampling unit is used for collecting the voltage of the load (4) or the voltage of the capacitor of the filter (3).
6. The fuzzy PI and QPR based power grid simulator control system according to claim 4, wherein the current comparison unit (504) is connected with the inductance of the filter (3) through a current sampling unit, and the current sampling unit is used for collecting the inductance current of the filter (3).
7. The fuzzy PI and QPR based grid simulator control system according to any one of claims 1 or 4, wherein the switch control signal is an SPWM control signal.
8. The fuzzy PI and QPR based grid simulator control system according to claim 4, characterized in that the voltage comparison unit (501) is connected to the fuzzy controller (503) through a differentiation unit.
9. The fuzzy PI and QPR based power grid simulator control system of claim 4, wherein the PI control parameter increments comprise proportional control parameter increments and integral control parameter increments.
10. A control method using the grid simulator control system according to claim 1, comprising the steps of:
s1, collecting load voltage or capacitor voltage of the filter in real time;
s2, the control module compares the load voltage or the capacitor voltage collected in real time with a preset reference voltage to obtain a voltage error signal;
s3, the control module performs fuzzy PI control on the voltage error signal, on one hand, PI control parameters are automatically updated, and on the other hand, standard current of a current inner loop is generated;
s4, acquiring the inductive current of the filter in real time, and comparing the standard current of the current inner ring with the inductive current acquired in real time by the control module to obtain a current regulation signal;
s5, the control module sequentially carries out non-static tracking and waveform modulation on the current regulation signal to obtain a corresponding switch control signal;
and S6, the inversion module correspondingly changes the working state of the internal switch of the inversion module according to the switch control signal so as to invert the direct current output by the direct current power supply module and output to obtain an alternating current fault test waveform.
CN202011604470.0A 2020-12-29 2020-12-29 Power grid simulator control system and method based on fuzzy PI and QPR Pending CN112701883A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113411002A (en) * 2021-05-14 2021-09-17 杭州电子科技大学 Single-phase inverter control system and method based on sliding mode variable structure of extreme learning machine
CN113890398A (en) * 2021-10-11 2022-01-04 四川大学 PR control and PI control equivalent method considering frequency dynamic characteristics
CN113933636A (en) * 2021-10-29 2022-01-14 国网湖北省电力有限公司电力科学研究院 Power distribution network fault test system based on arc generator
CN114069629A (en) * 2021-11-16 2022-02-18 上海电机学院 Power grid simulator control system and method based on improved sliding mode control

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103956769A (en) * 2014-04-08 2014-07-30 华中科技大学 Method for controlling grid-connected inverter of micro grid based on fuzzy PI algorithm
CN106786738A (en) * 2016-12-23 2017-05-31 上海电力学院 Z-source inverter grid-connected control method based on SVPWM and PI type Fuzzy
CN111541268A (en) * 2020-04-13 2020-08-14 中国电力科学研究院有限公司 Ship-shore power grid-connected control method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103956769A (en) * 2014-04-08 2014-07-30 华中科技大学 Method for controlling grid-connected inverter of micro grid based on fuzzy PI algorithm
CN106786738A (en) * 2016-12-23 2017-05-31 上海电力学院 Z-source inverter grid-connected control method based on SVPWM and PI type Fuzzy
CN111541268A (en) * 2020-04-13 2020-08-14 中国电力科学研究院有限公司 Ship-shore power grid-connected control method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张凯: ""基于准比例谐振双闭环控制的电网模拟器逆变侧设计"", 《电测与仪表》 *
樊晨曦: ""三相逆变器并联运行控制策略的研究"", 《中国优秀硕士论文全文数据库》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113411002A (en) * 2021-05-14 2021-09-17 杭州电子科技大学 Single-phase inverter control system and method based on sliding mode variable structure of extreme learning machine
CN113411002B (en) * 2021-05-14 2022-08-16 杭州电子科技大学 Single-phase inverter control system and method based on sliding mode variable structure of extreme learning machine
CN113890398A (en) * 2021-10-11 2022-01-04 四川大学 PR control and PI control equivalent method considering frequency dynamic characteristics
CN113933636A (en) * 2021-10-29 2022-01-14 国网湖北省电力有限公司电力科学研究院 Power distribution network fault test system based on arc generator
CN113933636B (en) * 2021-10-29 2022-09-02 国网湖北省电力有限公司电力科学研究院 Power distribution network fault test system based on arc generator
CN114069629A (en) * 2021-11-16 2022-02-18 上海电机学院 Power grid simulator control system and method based on improved sliding mode control

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Application publication date: 20210423