CN113126518A - Double-fed fan converter control system test platform - Google Patents
Double-fed fan converter control system test platform Download PDFInfo
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- CN113126518A CN113126518A CN202010049260.3A CN202010049260A CN113126518A CN 113126518 A CN113126518 A CN 113126518A CN 202010049260 A CN202010049260 A CN 202010049260A CN 113126518 A CN113126518 A CN 113126518A
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- 238000012360 testing method Methods 0.000 title claims abstract description 42
- 238000004088 simulation Methods 0.000 claims abstract description 19
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- 238000001514 detection method Methods 0.000 claims description 10
- 238000004804 winding Methods 0.000 claims description 10
- 238000004891 communication Methods 0.000 claims description 8
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- 230000009977 dual effect Effects 0.000 claims description 4
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The invention belongs to the technical field of wind power generation converter testing, and particularly relates to a double-fed fan converter control system testing platform. Compared with pure simulation, the test method greatly improves the accuracy and speed of the test, and meanwhile, the real control system is product-level and has the referential property of practical application; compared with field tests, the method can conveniently carry out various limit tests such as tests which can damage the wind power generation converter due to phase failure, short circuit and the like, and tests which are expensive in test cost or difficult to build under test conditions such as low voltage ride through, high voltage ride through tests, power grid adaptability tests and the like.
Description
Technical Field
The invention belongs to the field of intelligent power grid testing, and particularly relates to a double-fed fan converter control system testing platform.
Background
With the exhaustion of energy and increasingly serious environmental pollution, new energy power generation technology is steadily developed in the world. As a wind power converter is one of the core components in a wind power system, the requirements for stability and reliability in the whole system are becoming more and more strict. However, due to the restrictions of the research and development laboratory environment and the hardware conditions, the core control circuit and the software code thereof generally cannot be tested comprehensively and exhaustively before being applied in batch, and there is a risk of being affected by the field accidental event, which affects the power generation performance of the converter and even the stability of the whole power grid.
In the research and development of a traditional wind power generation converter control system, engineers generally adopt the modes of field test, long-time machine operation, software model substitution for real converter simulation and the like to test the stability and reliability of the control system, however, the research and development cost of simulating a real fault state by the field test is high, test operators and operation are difficult, and high risk exists in the test process. Due to the conditions of large data iterative computation amount, inconsistent model accuracy and the like, the software simulation cannot be really applied to the simulation speed and precision and only can provide the basis of an algorithm level. Through the semi-physical simulator, the high-speed parallel chip is connected with the product-level control system, the research and development cost can be effectively reduced, the speed and the accuracy of system testing are increased, and the risk in the testing process is reduced, so that the control system can be subjected to long-time running tests.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to provide a test platform for a double-fed fan converter control system, which aims to overcome the defects in the prior art.
In order to achieve the aim, the invention provides a test platform for a double-fed fan converter control system, which comprises a semi-physical simulation platform, a switching device, a core control board and detection equipment, wherein the semi-physical simulation platform comprises a first test platform body, a second test platform body and a third test platform body; the simulation platform is in signal connection with the core control panel through the switching device, and the signal connection is in a dual-channel mode; the core control board is in signal connection with the detection equipment. The switching device is a high-speed signal switching device with a protection function, the core control panel is a core control circuit of the wind power generation converter to be tested, and the detection equipment detects signals of the core control panel, such as an oscilloscope.
Preferably, the semi-physical simulation platform comprises a computer, a communication line and a semi-physical simulator; and the computer is in communication connection with the semi-physical simulator through the communication line to jointly run the semi-physical simulation.
Preferably, the computer comprises a double-fed fan model, a double-PWM converter model, an alternating current network model, a Speedgoat toolkit and a configuration simulator I \ O physical address; the output end I of the double-fed fan model is electrically connected with the input end I of the double-PWM converter model; the output end II of the double PWM converter model is electrically connected with the input end I of the alternating current network model; the I end of the Speedgoat tool bag is in signal connection with the double PWM converter model, and the II end of the Speedgoat tool bag is in signal connection with the I end of the configuration simulator I \ O physical address; and the end II of the configuration simulator I \ O physical address is used as the signal output end of the computer.
Preferably, the doubly-fed wind turbine model is located under a synchronous rotating coordinate system, and the mathematical model is as follows:
in the formula usd、usq、urd、urqThe two-phase equivalent winding voltage of the stator and the rotor; i.e. isd、isq、ird、irqTwo-phase equivalent winding current of a stator and a rotor;two-phase equivalent winding flux linkage of a stator and a rotor; w is aslIs the difference in rotational speed; w is aeIs the synchronous angular velocity;
in the formula, LsExciting an inductance for the stator winding; l ismAn air gap winding excitation inductance.
The torque equation is as follows:
the equation of motion is as follows:
Tmis the mechanical load torque; j. the design is a squaregIs the moment of inertia; w is arIs the rotor angular velocity.
Preferably, the double-PWM converter model adopts a double-PWM converter topology, and the duty ratio d1-d12 of 12 switching tubes (S1-S12) of a six-arm bridge is obtained by PWM modulation after input of analog quantity of the core control board.
Preferably, the mathematical model of the ac power grid model has the following three-phase voltage equation:
ua=Umsin(wgt)
in the formula of UmFor the grid phase voltage amplitude,wgand t is the phase of the phase voltage of the A phase of the power grid.
Setting the equivalent inductive impedance of the power grid as Ls and the equivalent impedance as Rs, and then expressing the output voltage of the power grid as:
in the formula uao、ubo、ucoRespectively outputting the network phase voltage i for the convertera、ib、icRespectively three phase current.
Compared with the prior art, the invention has the beneficial effects that:
1) the diagnosis speed is fast: compared with digital full simulation, semi-physical simulation is based on a product-level circuit board and is closer to the real situation, time from fault occurrence to protection can be accurately detected through detection equipment such as an oscilloscope, and functional test can be systematically and rapidly performed.
2) The detection function is complete: the wind power generation system model with the actual wind speed characteristics and the detection analysis of the converter control system under the model can be formed by fitting the actual wind power station wind speed measurement data.
Drawings
Fig. 1 is a system structure block diagram of a double-fed wind turbine converter control system test platform of the invention;
FIG. 2 is an overall block diagram of the doubly-fed wind power generation system of the present invention;
fig. 3 is an electrical schematic of a dual PWM converter model of the present invention.
Detailed Description
To further understand the structure, characteristics and other objects of the present invention, the following detailed description is given with reference to the accompanying preferred embodiments, which are only used to illustrate the technical solutions of the present invention and are not to limit the present invention.
Firstly, as shown in fig. 1, fig. 1 is a system structure block diagram of a double-fed wind turbine converter control system test platform of the present invention; the test platform comprises a semi-physical simulation platform, a switching device, a core control panel and detection equipment, wherein the semi-physical simulation platform comprises a computer, a communication line and a semi-physical simulator. The computer comprises a double-fed fan model, a double-PWM converter model, an alternating current power grid model, a Speedgoat toolkit and a configuration simulator I \ O physical address. The switching device is a high-speed signal switching device, the core control panel is a core control circuit of the tested wind power generation converter, and the detection equipment detects key signals of the core control panel, such as an oscilloscope.
The working principle is as follows: the double-fed fan model is positioned in Matlab/Simulink software of the computer, and when the semi-physical simulator and the computer jointly run the model through the communication line, the semi-physical simulator outputs analog signals and interacts digital signals to the core control board through the switching device; the core control board acquires an analog signal according to the core control board and the port definition of the switching device, and receives or outputs a digital signal; and the semi-physical simulator embeds a software interface developed by speedcoat into Simulink of the computer, and associates the duty ratio of a switching device with the analog input of the core control board after establishing a mathematical model of the double PWM converter model to form semi-physical modeling and simulation.
Further, as shown in fig. 2, fig. 2 is a block diagram of an overall structure of the doubly-fed wind turbine model of the present invention; the output end I of the double-fed fan model is electrically connected with the input end I of the double-PWM converter model; the output end II of the double PWM converter model is electrically connected with the input end I of the alternating current network model; and the double-fed fan model, the double-PWM converter model and the alternating current network model are all positioned in Matlab/Simulink software of the computer.
In addition, referring to fig. 3, fig. 3 is an electrical schematic diagram of a dual PWM converter model according to the present invention; the software interface of the semi-physical simulator is embedded into Simulink, after the double PWM converter model is established, the duty ratios of 12 switching tubes (S1-S12) of a six-bridge arm are correlated with the analog input of a core control board, and the simulation is obtained by PWM modulation after the analog quantity of the core control board is input.
Finally, the invention discloses a test platform for a double-fed fan converter control system, which is characterized by comprising the following specific technical characteristics:
the invention provides a test platform of a control system of a doubly-fed wind power generation converter based on speedgoat by combining a doubly-fed wind power generator, a power grid, a double PWM converter model at the front of international research and a model and an interface of speedgoat which meet various requirements in a Matlab/Simulink library based on the flexibility and high accuracy of semi-physical simulation; the semi-physical simulator is used for verifying the product-level control system, so that the research and development cost can be effectively reduced, the speed and accuracy of system testing are increased, and the risk in the testing process is reduced, so that the control system can be subjected to long-time running tests.
It should be noted that the above summary and the detailed description are intended to demonstrate the practical application of the technical solutions provided by the present invention, and should not be construed as limiting the scope of the present invention. Various modifications, equivalent substitutions, or improvements may be made by those skilled in the art within the spirit and principles of the invention. The scope of the invention is to be determined by the appended claims.
Claims (6)
1. The invention provides a double-fed fan converter control system test platform which is characterized by comprising a semi-physical simulation platform, a switching device, a core control board and detection equipment; the simulation platform is in signal connection with the core control board through the switching device, and the signal connection is a dual-channel mode; the core control board is in signal connection with the detection equipment.
2. The test platform of claim 1, wherein the semi-physical simulation platform comprises a computer, a communication line, and a semi-physical simulator; and the computer is in communication connection with the semi-physical simulator through the communication line to jointly run the semi-physical simulation.
3. The test platform of claim 2, wherein the computer comprises a doubly-fed wind turbine model, a double PWM converter model, an AC grid model, a speedcoat toolkit, and a configuration simulator I \ O physical address; the output end I of the double-fed fan model is electrically connected with the input end I of the double-PWM converter model; the output end II of the double PWM converter model is electrically connected with the input end I of the alternating current network model; the I end of the Speedgoat tool bag is in signal connection with the double PWM converter model, and the II end of the Speedgoat tool bag is in signal connection with the I end of the configuration simulator I \ O physical address; and the end II of the configuration simulator I \ O physical address is used as the signal output end of the computer.
4. The test platform of claim 3, wherein the doubly-fed wind turbine model is located under a synchronous rotating coordinate system, and the mathematical model is as follows:
in the formula usd、usq、urd、urqThe two-phase equivalent winding voltage of the stator and the rotor; i.e. isd、isq、ird、irqTwo-phase equivalent winding current of a stator and a rotor;two-phase equivalent winding flux linkage of a stator and a rotor; w is aslIs the difference in rotational speed; w is aeIs the synchronous angular velocity;
in the formula, LsExciting an inductance for the stator winding; l ismAn air gap winding excitation inductance.
The torque equation is as follows:
the equation of motion is as follows:
Tmis the mechanical load torque; j. the design is a squaregIs the moment of inertia; w is arIs the rotor angular velocity.
5. The test platform of claim 3, wherein the dual PWM converter model adopts a dual PWM converter topology, and the duty ratios d1-d12 of the six-leg 12 switching tubes (S1-S12) are obtained through PWM modulation. In the PWM modulation process, the core control board outputs analog quantity, and PWM modulation is carried out in the simulator. The analog value is obtained by the output duty ratio d multiplied by the core control board PWM counter Nmultiplied by the electric-to-analog conversion ratio r.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102592026A (en) * | 2012-01-12 | 2012-07-18 | 甘肃省电力公司风电技术中心 | Simulation modeling method for equivalent simulation of doubly-fed wind-power generator set |
CN103344437A (en) * | 2013-07-19 | 2013-10-09 | 华北电力大学 | Semi-physical real-time simulation platform for wind generating set |
CN204118736U (en) * | 2014-10-11 | 2015-01-21 | 广西大学 | A kind of double-fed wind power generator group Physical Simulation Platform based on CompactRIO |
CN105550115A (en) * | 2015-12-28 | 2016-05-04 | 国电南瑞科技股份有限公司 | dSPACE based test method for wind power converter controller |
CN106020168A (en) * | 2016-06-30 | 2016-10-12 | 华北电力科学研究院有限责任公司 | Doubly-fed wind turbine sub synchronous resonance hardware in-loop test system and method |
CN106650072A (en) * | 2016-12-13 | 2017-05-10 | 中国电力科学研究院 | Detecting system and method for virtual synchronous generator grid connection based on hardware-in-the-loop simulation |
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- 2020-01-16 CN CN202010049260.3A patent/CN113126518A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102592026A (en) * | 2012-01-12 | 2012-07-18 | 甘肃省电力公司风电技术中心 | Simulation modeling method for equivalent simulation of doubly-fed wind-power generator set |
CN103344437A (en) * | 2013-07-19 | 2013-10-09 | 华北电力大学 | Semi-physical real-time simulation platform for wind generating set |
CN204118736U (en) * | 2014-10-11 | 2015-01-21 | 广西大学 | A kind of double-fed wind power generator group Physical Simulation Platform based on CompactRIO |
CN105550115A (en) * | 2015-12-28 | 2016-05-04 | 国电南瑞科技股份有限公司 | dSPACE based test method for wind power converter controller |
CN106020168A (en) * | 2016-06-30 | 2016-10-12 | 华北电力科学研究院有限责任公司 | Doubly-fed wind turbine sub synchronous resonance hardware in-loop test system and method |
CN106650072A (en) * | 2016-12-13 | 2017-05-10 | 中国电力科学研究院 | Detecting system and method for virtual synchronous generator grid connection based on hardware-in-the-loop simulation |
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Application publication date: 20210716 |