CN102508055B - Device and method for detecting wind power generation grid-connected system - Google Patents
Device and method for detecting wind power generation grid-connected system Download PDFInfo
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Abstract
The invention provides a device for detecting a wind power generation grid-connected system. The device comprises a power generation unit, a storage battery unit, an inversion unit, a load simulation and simulated power grid unit control unit, a control unit and a detection unit, wherein the power generation unit comprises a wind driven generator and a fan switching-in controller; the inversion unit comprises an inverter and an inverter switching-in controller; the load simulation and simulated power grid unit comprises a load selector, a simulated load, a grid-connected switching-in controller and a simulated power grid; the control unit comprises a DSP (Digital Signal Processor), storage equipment and a communication module; the detection unit comprises a fan state detection mechanism and an electric performance detection mechanism; and the storage battery unit comprises a storage battery, a storage battery controller and a Boost circuit. A method provided by the invention is used for respectively detecting the island operation of a fan to be detected, the grid-connected operation of the fan to be detected and the working state of the inverter to be detected when a standard fan is in a grid-connected state, thereby realizing the detection of the fan or the inverter under a plurality of loads, meeting the requirements of switching among multiple fans or the inverters, and improving the detection efficiency and accuracy.
Description
Technical Field
The invention belongs to the technical field of wind power generation and electricity, and particularly relates to a detection device and a detection method for a wind power generation grid-connected system.
Background
The existing fan detection system is a process of acquiring, analyzing and calculating performance parameters of a fan, drawing a performance curve and controlling frequency conversion and speed regulation of fan transmission by acquiring preprocessed signals in the running process of the fan. The fan performance test is of great importance to the inspection of finished products and the design and development of new products, and is particularly important to the performance test under the conditions that large-scale and characteristic fans, single parts, small-batch and special requirements on air flow characteristics exist. At present, the performance detection of the fan in China is mostly performed manually, and the defects of backward test means, large labor capacity, inaccurate test result and the like exist. In addition, the latest scientific and technological wind power generation detection mechanism developed at home and abroad can not select a power generation system and can only judge the fault of the power generation system when the fault occurs. Meanwhile, the detection tool can only detect the wind driven generator and the inverter respectively under a single load condition, and a method for detecting the matching condition of the wind driven generator and the inverter under various load working conditions is unavailable.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a wind power generation grid-connected system detection device and method.
The invention discloses a detection device of a wind power generation grid-connected system, which comprises a power generation unit, a storage battery unit, an inversion unit, a load simulation and simulation power grid unit control unit, a control unit and a detection unit;
the power generation unit comprises a wind driven generator and a fan access controller;
the inversion unit comprises an inverter and an inverter access controller;
the load simulation and simulation power grid unit comprises a load selector, a simulation load, a grid-connected access controller and a simulation power grid;
the control unit comprises a DSP, a storage device and a communication module;
the detection unit comprises a fan state detection mechanism and an electrical performance detection mechanism;
the storage battery unit comprises a storage battery, a storage battery controller and a Boost circuit;
the specific connections of the device are as follows: the wind driven generator is connected to a storage battery unit with a storage battery controller through a wind driven generator access controller, the wind driven generator is connected to an inverter with an inverter access controller through the wind driven generator access controller, the output of an inversion unit is connected to a simulation load through a load selector to simulate the load in different detection modes, the wind driven generator is connected with a fan state detection mechanism, the output of the fan state detection mechanism is connected to an electrical performance detection mechanism, the electrical performance detection mechanism is connected with a simulation power grid, the simulation power grid is connected to the output end of the inversion unit through a grid-connected access controller, the wind driven generator access controller, the inverter access controller, the load selector, the electrical performance detection mechanism and the grid-connected access controller are all connected to an IO port of a DSP, and a communication module and a storage device are externally connected to the.
The fan access controller of the power generation unit adopts a plurality of single-pole single-throw switches, one end of each switch is connected to serve as the output end of the power generation unit, and the other end of each switch is connected with different wind driven generators.
The inverter access controller of the inversion unit adopts a plurality of single-pole single-throw switches which are respectively positioned at the input end and the output end of the inverter to control the access of the inverter, the input end of the inverter is connected with the output end of the power generation unit and the output end of the storage battery unit, and the output end of the inverter access controller is connected with the load simulation and simulation power grid unit.
The load selector of the load simulation and simulation power grid unit comprises a single-pole single-throw switch and a control circuit, wherein a plurality of single-pole single-throw switches are connected in parallel, the control circuit is connected with the output end of a DSP (digital signal processor), and the output end of the control circuit is connected with the single-pole single-throw switch;
the analog load comprises three connection modes: the simulation load for detecting the fan in the island operation comprises a circuit breaker and a fuse which are connected in series, and a capacitor, an inductor and a resistor array which are connected in a three-phase star shape; the simulation load detected by the fan during grid connection comprises a circuit breaker and a fuse connected in series, and a capacitor, an inductor and a resistor array connected in a three-phase hexagonal manner; the analog load detected by the inverter during grid connection comprises a fuse, a circuit breaker, a three-phase capacitor connected in star shape and in angular connection in parallel, an inductor and a resistor.
The simulation power grid comprises a protection circuit, a voltage stabilizing circuit, an adjustable capacitor, an adjustable resistor and a controllable alternating current voltage source, a grid-connected access controller adopts a plurality of single-pole single-throw switches to be connected in parallel, the input end of the grid-connected access controller is connected with the output end of an inverter access controller, the output end of the grid-connected access controller is sequentially connected with the protection circuit and the voltage stabilizing circuit, the three-phase output end of the voltage stabilizing circuit is connected with the adjustable capacitor and the adjustable resistor which are connected in parallel, and the controllable alternating current voltage source is connected to the output end of the adjustable capacitor and the adjustable.
A fan state detection mechanism of the detection unit adopts an anemometer; the electric performance detection mechanism comprises a power quality analyzer and an oscilloscope.
The storage batteries of the storage battery unit adopt lead-acid storage batteries, and the storage batteries are connected in parallel; the storage battery controller comprises a voltage stabilizing chip, a power supply control chip and an output voltage regulating chip, the storage battery is connected with the input end of the voltage stabilizing chip, the output of the voltage stabilizing chip is connected with the input of the power supply control chip, and the input end of the output voltage regulating chip is connected with the output of the power supply control chip; the input of the Boost circuit is used as the input of the storage battery unit, and the output of the Boost circuit is connected with the output of the storage battery controller and used as the output of the storage battery unit.
The detection method comprises the following steps: detecting the working state of the wind driven generator to be detected during island operation, detecting the working state of the wind driven generator to be detected during grid connection and detecting the working state of the inverter to be detected during grid connection.
When the wind driven generator to be tested runs in an isolated island, the wind driven generator is detected under the conditions of a standard inverter and a stable analog load, the quality of electric energy generated by the wind driven generator is mainly detected, the working state of the wind driven generator in an isolated island running mode is judged, and the load selector is controlled by the DSP to select the corresponding analog load. At this time, the grid has no influence on the power generation system.
When an island operates, the detection steps of the working state of the wind driven generator to be detected are as follows:
step 1: determination of wind turbine detection conditions: the rated power of a storage battery unit, an inverter, a transformer, a load selector and a simulation load of the wind driven generator detection system is more than or equal to the apparent power of the wind driven generator;
step 2: detecting the off-grid power performance of the wind driven generator;
step 2.1: adjust wind speed through DSP to start aerogenerator, fan detection mechanism passes through the anemoscope, and electric energy quality analysis appearance and oscilloscope data acquisition include: line voltage, line current and wind speed, setting the sampling period and sampling frequency.
Step 2.2: and the oscilloscope draws a fan voltage characteristic curve according to the collected fan line voltage, and calculates the similarity between the drawn fan voltage characteristic curve and a standard fan voltage characteristic curve.
Wherein,
s, fan voltage characteristic curve similarity;
Aithe voltage value at the standard time point on the fan voltage characteristic curve obtained by sampling,
Bithe voltage value at the standard time point on the standard fan voltage characteristic curve,
n, the number of sampled data.
Step 2.2.1: randomly sampling data acquired by an oscilloscope, comparing the sampled data with a volt-ampere characteristic standard curve stored in a system, and calculating the similarity of the two curves by a formula (1). Wherein, the system collects 500 points in each clock period;
step 2.2.2: calculating the overall similarity S of all sampling periodspI.e. averaging the similarity for each sampling period:
step 2.2.3: calculating the average wind speed of all sampling periods
And average power
Step 2.3: and (3) the DSP regulates the wind speed again, and the step 2.2 is repeated, wherein the wind speed is increased by 1m/s in the last time when the wind speed ratio is regulated each time, and the upper limit of the wind speed is 12 m/s.
And step 3: and detecting the working state of the fan under different wind speeds.
Step 3.1: calculating the total wind energy conversion efficiency eta of the fancon。
Wherein:
Pnfor the overall efficiency of the fan output
ρ is the air density at that time
R is the radius of the fan blade
vnAt this time, the wind speed is measured and the wind speed is measured
Step 3.2: and calculating the conversion efficiency of each point in the sampling period, and drawing an overall dynamic conversion efficiency curve. The conversion efficiency is calculated by the following formula:
ηn *＝0.8ηn+0.1ηn-1+0.05ηn-2+0.025×ηn-3+0.00625×ηn-4+0.00625×ηn-5+0.00625×ηn-6+0.00625×ηn-7
wherein etan *The data are stored by a memory, calculated by values of the front 7 sampling points, and mainly subjected to caching and filtering processing, so that the obtained power curve is smoother, and the influence of instability of a mechanical structure of the fan on experimental processing is reduced to the maximum extent.
Step 3.3, calculating the work evaluation index D of the fan under the island conditionvi：
Wherein:
Dvithe evaluation index of the fan under the condition of vi wind speed,
ηvifor the wind speed at vi the conversion efficiency of the fan,
Step 3.4, evaluating the work indexes D of the fans under different viviAnd taking an average value D.
and 4.1, checking whether the power generation system meets the fan detection condition, entering the next step if the power generation system meets the fan detection condition, and regarding the obtained data as error data if the power generation system does not meet the fan detection condition.
And 4.2, checking whether the drawn curve has data mutation points or not, if so, checking the reason, and storing the obtained data in a memory for checking.
When the wind driven generator to be detected operates in a grid-connected mode, the wind driven generator is detected under the conditions of a standard inverter and a stable simulation load, the corresponding simulation load is selected through a DSP (digital signal processor) when the wind driven generator operates in the grid-connected mode, the working state of the wind driven generator when the wind driven generator is incorporated into a simulation power grid is simulated through constructing a simulation power grid and a grid-connected access controller, the influence of a fan on the power grid under special conditions is analyzed, the quality of electric energy output by the wind driven generator is mainly detected, the working state of the wind driven generator in the grid-connected operation mode is judged, and at the moment, the power.
Before the wind driven generator to be tested is connected to the simulation power grid, the detection conditions need to be determined, and the method specifically comprises the following steps:
1. the rated power of a Boost circuit, a storage battery, an inverter, a transformer, a grid-connected access controller, a simulation power grid, a load selector and a simulation load of the wind driven generator is larger than or equal to the apparent power of the wind driven generator.
2. The short-circuit power of the simulation power grid is 50 times of the short-circuit power of the wind driven generator; the total distortion rate of the voltage within the 50 th harmonic must be below 5% of the 10min average.
3. And simulating that the measured value of the power grid within any 0.2s is +/-1% of the rated fixed value, ensuring that the power grid frequency does not change during the detection, and if the power grid frequency is found not to meet the requirement after the detection is finished, considering all the measured values and conclusions during the detection as false data.
During grid connection, the detection steps of the working state of the wind driven generator to be detected are as follows:
step 1: and determining grid connection detection conditions.
Step 2: collecting grid-connected power performance parameters of the wind generating set, and setting a sampling period and sampling frequency.
Adjust the rated wind speed of aerogenerator to through DSP, fan detection mechanism passes through the anemoscope, and electric energy quality analysis appearance and oscilloscope gather parameter data, include: line voltage, line current and wind speed.
And step 3: calculating data of each sampling point in each sampling period, wherein the data comprises fan output voltage, inverter output voltage and fan output electric energy frequency, respectively drawing a dynamic curve, and calculating the data according to the following formula:
Qn *＝0.8Qn+0.1Qn-1+0.05Qn-2+0.025×Qn-3+0.00625×Qn-4+0.00625×Qn-5+0.00625×Qn-6+0.00625×Qn-7
wherein Qn *The power curve is stored by a memory and is obtained by jointly calculating the values of 7 sampling periods before the moment, the aim is to cache the stored data, the power curve is smoother by filtering treatment, and the experiment caused by the instability of the mechanical structure of the fan is reduced to the maximum extentThe impact of the treatment.
And 4, step 4: and calculating the output power and the conversion efficiency of the fan according to the calculated output voltage of the fan, the output voltage of the inverter, the output electric energy frequency of the fan and the line current value output by the fan at the moment, and drawing a corresponding dynamic curve.
And 5: calculating the similarity S between the drawn fan output voltage curve, inverter output voltage curve, fan output electric energy frequency curve, fan output power curve and fan conversion efficiency curve and the corresponding standard curve:
wherein,
αirepresenting the distance between the measured actual curve to the origin;
βiand the distance between the standard curve and the corresponding point to the origin is shown.
Step 5.1: randomly sampling data acquired by the oscilloscope, comparing the sampled data with a standard curve stored by a system, and calculating the similarity of the two curves by using the formula. Wherein, the system collects 500 points in each clock period and calculates the overall similarity S of all sampling periodspI.e. averaging the similarity for each sampling period:
averaging the similarity of each period to obtain the overall similarity S:
step 5.2: substituting the fan output voltage curve similarity into the above formula to obtain the overall fan output voltage similarity SUO(ii) a Substituting the similarity of the output voltage curve of the inverter into the above formula to obtain the similarity S of the output voltage of the whole inverterUO'; substituting the fan output electric energy frequency curve similarity into the above formula to obtain the integral fan output electric energy frequency similarity Sf(ii) a Substituting the power curve similarity into the formula to obtain the output power similarity S of the whole fanpSubstituting the conversion efficiency curve similarity into the formula to obtain the overall fan conversion efficiency similarity Sη。
Step 6: calculating the work evaluation index D of the fan under the condition of grid connectionG：
Wherein:
DGthe working evaluation index is the fan grid-connected work evaluation index;
SUOoutputting voltage similarity for the fan;
SUO' is inverter output voltage similarity;
Sfoutputting the electric energy frequency similarity for the fan;
Sηthe conversion efficiency similarity.
And 7: evaluation index judgment, if DGIf the wind power generation system is connected with the wind turbine, the wind turbine can not work normally under the condition of grid connection; if D isG<1 indicates that the wind driven generator is suitable for being connected to a power generation system and can normally work under the condition of grid connection.
When the inverter is detected, the inverter to be detected and the standard wind driven generator are accessed, the simulation power grid is accessed through the grid-connected access controller, and the load selector is controlled by the DSP to select the corresponding simulation load.
When the grid is connected, the detection steps of the working state of the inverter to be detected are as follows:
step 1: adjusting the output voltage of the wind power generation unit to a rated value of the input voltage of the inverter; and (3) finely adjusting the load to enable the output power of the inverter to be rated power, slowly adjusting the output voltage of the wind driven generator to enable the output voltage to change within 80% -120% of the rated power, and measuring the output voltage to be different from the output voltage.
Step 2: adjusting the output voltage of the wind driven generator to 80% of the rated voltage value of the input voltage of the inverter; connecting an oscilloscope to the output end of the inverter for testing; and (3) drawing a curve of the output voltage of the inverter and the time, and calculating the similarity of the curve and the voltage of the standard 80% rated voltage in the memory:
wherein,
αirepresenting the distance between the measured actual curve to the origin;
βiand the distance between the standard curve and the corresponding point to the origin is shown.
And 3, step 3: changing the output voltage of the wind power generator into 90% rated voltage, calculating the similarity of 90% rated voltage S (U)90％(ii) a Changing the output voltage of the wind power generator into 100% rated voltage, calculating 100% rated voltage similarity S (U)100％(ii) a Changing the output voltage of the wind power generator into 110% rated voltage, calculating the 110% rated voltage similarity S (U)110％(ii) a Changing the output voltage of the wind power generator into 120% rated voltage, calculating the similarity of the 120% rated voltage and the voltage S (U)120％。
And 4, step 4: drawing a curve of line current and time when the power generation of the fan is 80% -120% of the rated voltage, and obtaining the 80% rated voltage current similarity S (I) by adopting the same operations of the steps 2-380％90% nominal voltage current similarity S (I)90％(ii) a 100% rated voltage current similarity S (I)100％(ii) a 110% rated voltage current similarity S (I)110％(ii) a 120% nominal voltage current similarity S (I)120％。
And 5, step 5: measuring inverter input line current I by oscilloscopeDCLine voltage UDCAnd the line current I of the outputACLine voltage UACAnd calculating the inverter conversion efficiency eta:
and 6, step 6: regulating the input voltage of the inverter to a rated voltage value, regulating the output current to the rated value, and continuously and reliably working for not less than 8 h; regulating the output current to 125% rated value, and continuously and reliably working for not less than 1 min; the input voltage is regulated to 125% of rated value, the output current is regulated to the rated value, and the continuous reliable work is not less than 10 s. And judging whether the inverter works normally under the three conditions. If the inverter can normally work under three conditions, the inverter has a load index D P3; under two conditions, the device can work normally, and then the loading index D is obtainedP1.5; if the load index D can not work normally under three conditionsP＝0。
And 7, step 7: calculating an inverter evaluation index:
evaluation index D of overall similarity of inverterS：
Inverter conversion efficiency evaluation index Dη：
Continuous working state performance evaluation index DPAs shown in step 6.
And 8, step 8: calculating the overall evaluation index of the inverter:
DN＝Dη+DS+LnDP
step 9: if D isNAnd (4) less than or equal to 1, the inverter is suitable for grid-connected power generation in the connected power generation system. Otherwise, the inverter is not suitable for being connected into the power generation system and cannot be directly connected into the inverter unit for grid-connected power generation.
Has the advantages that:
(1) the method adopts a separate detection mode, firstly, the wind driven generator to be detected is accessed into a power generation system through a wind driven generator access circuit, the standard inverter is accessed into the power generation system through an inverter access circuit, and the running condition of the wind driven generator to be detected is judged through collected data; then, the inverter to be tested is connected into the power generation system through the inverter access circuit, the standard wind driven generator is connected into the power generation system through the wind driven generator access circuit, the running condition of the inverter to be tested is judged through the collected data, and the specific reasons of the faults of the power generation system can be obtained through respective judgment;
(2) the detection of the wind driven generator under various load working conditions is realized, the switching among a plurality of wind driven generators to be detected can be met while the detection is carried out, and the comparison and the detection of the power generation states of the plurality of wind driven generators are realized; the efficiency and the accuracy of detection of the wind driven generator are greatly improved;
(3) the detection of the inverter under various load working conditions is realized, the switching among a plurality of inverters to be detected can be met while the detection is carried out, the comparison and the detection of the inversion working states of the plurality of inverters are realized, and the efficiency and the accuracy of the detection of the inverter are greatly improved.
Drawings
FIG. 1 is a block diagram of the overall structure of a detection apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a wind turbine island operation detection according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a fan performance detection mechanism according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of the load during islanding operation of an embodiment of the present invention;
FIG. 5 is a schematic diagram of detection when a fan is connected to the grid according to an embodiment of the invention;
FIG. 6 is a schematic diagram of a simulated grid architecture according to an embodiment of the present invention;
FIG. 7 is a load schematic diagram of the fan grid-connected state according to the embodiment of the invention;
FIG. 8 is a schematic diagram of the connection of the battery according to the embodiment of the present invention;
FIG. 9 is a schematic diagram of the connection of the inverter to the load detection of the embodiment of the present invention;
FIG. 10 is a schematic diagram of a load selector control circuit according to an embodiment of the present invention;
FIG. 11 is a schematic diagram of a connection of a wind turbine generator access controller according to an embodiment of the present invention;
fig. 12 is a schematic diagram of a battery controller circuit according to an embodiment of the present invention, in which (a) is a schematic diagram of a power supply control chip, (b) is a schematic diagram of a voltage stabilizing chip, and (c) is a schematic diagram of an output voltage regulating chip;
fig. 13 is a schematic circuit diagram of a communication module according to an embodiment of the present invention.
Detailed Description
The wind power generation grid-connected system detection device of the invention is further explained with reference to the accompanying drawings and embodiments.
The detection system comprises a power generation unit, a storage battery unit, an inversion unit, a load simulation and simulation power grid unit control unit, a control unit and a detection unit, and is shown in figure 1;
the power generation unit comprises a wind driven generator and a fan access controller, the initial installation model of the standard wind driven generator is SKYWING 1000W, and the initial installation model of the wind driven generator to be tested is FD2.8-1.0KW 76.
The inversion unit comprises an inverter to be tested and an inverter access controller, and the initial installation model of the standard inverter is KorkieK-1000W; the initial installed model of the inverter to be tested is FD 3.0-1000. The inverter is connected into an inverter unit by an inverter access controller which consists of a KCD7-11 single-pole single-throw ship-shaped switch and a DKB0 protection switch.
The control unit comprises a DSP, a storage device and a communication module, wherein the DSP adopts TMS320F2407A, and the model MAX232 of the communication module is connected with a computer. A schematic diagram of the circuit connection of the communication module is shown in fig. 13. The storage device consists of 12 parallel-connected SRAMs of IS61LV256-15J and 12 parallel-connected SPI Flash of 8Mbit of SST25VF 080B-50-4C-QAF. The function is to store standard information and to store intermediate quantities of the detection system.
The detection unit comprises a fan state detection mechanism and an electrical performance detection mechanism, the fan performance detection mechanism is shown in a schematic diagram in fig. 3, the fan state detection mechanism comprises an anemograph and is mainly used for detecting a wind driven generator, and the anemograph adopts an anemometer with + E EE65-VB 5; the electric performance detection mechanism consists of three A, B and C interphase electric energy quality analyzers and three single-path input and single-path output oscilloscopes. And signals output by the power quality analyzer are transmitted to a power quality analysis unit in the DSP, so that the stability of the three-phase power is mainly judged. The signal output by the oscilloscope is compared with the standard signal stored in the FLASH, the dynamic condition of the three-phase electric energy is judged by analyzing through the waveform comparison unit in the DSP, and the method is specifically set up as shown in FIG. 3.
The storage battery adopts a lead-acid storage battery, the storage battery adopts 6-GFM-200Ah, and the storage batteries are connected in parallel. The storage battery is mainly used for storing redundant electric energy generated by the solar generator set, serving as a supplementary power supply when the electric energy is in short supply and balancing the power difference between the inverter and the generator set. The battery controller controls the state of the battery. Wherein, the TPS787D318 is a power supply control chip, the LM7812CT is a voltage regulation chip, the IMB17 is an output voltage regulation chip, the connection schematic diagram of the storage battery is shown in figure 8, and the circuit schematic diagram of the storage battery controller is shown in figure 12.
The access controller in the wind generator detection and the inverter detection is composed of 4 voltage type DNLAS4501DFT2G universal single-pole single-throw switches. The fan access controller connects one end of each block as an output to be connected to a storage battery, the end interfaces of each block are respectively connected to 4 different wind driven generators, 1, 2, 3 and 4 of the wind driven generators are respectively connected with ADCIN10, ADCIN11, ADCIN12 and ADCIN13 in the DSP, and the connection is as shown in FIG. 11, and the inverter access controller is similar to the inverter access controller.
The load simulation and simulation power grid unit comprises a load selector and a simulation load, the grid-connected access controller and a simulation power grid are connected, the load selector comprises a single-pole single-throw switch and a control circuit, an ADG1334+12V four-channel single-pole single-throw switch array is adopted, the control circuit is connected to the output end of a DSP, the output end of the control circuit is connected to the single-pole single-throw switch, and the simulation load comprises a three-phase circuit breaker, a three-phase fuse and a three-phase simulation load; the simulation grid structure schematic diagram is shown in fig. 6 and comprises a protection circuit, a voltage stabilizing circuit, an adjustable capacitor, an adjustable resistor and a controllable alternating current voltage source, a grid-connected access controller adopts a plurality of single-pole single-throw switches which are connected in parallel, the input end of the grid-connected access controller is connected with the output end of an inverter access controller, the output end of the grid-connected access controller is sequentially connected with the protection circuit and the voltage stabilizing circuit, the three-phase output end of the voltage stabilizing circuit is connected with the adjustable capacitor and the adjustable resistor which are connected in parallel, and the controllable alternating current voltage source is connected with the output ends of the adjustable capacitor and. The adjustable alternating current voltage source, the adjustable resistor and the capacitor effectively simulate various conditions of a power grid under different power factors, and the accuracy of simulating the power grid is improved. The analog load comprises a three-phase circuit breaker, a three-phase fuse and a three-phase analog load.
For optimizing the function, the load selector is externally added with TI/SN74HCT574N as the control circuit of the control chip, and the hardware connection is shown in FIG. 10. K M1 is the wind turbine detection mode, and K ismWhen 0, it is in island detection mode, KmWhen the number is 1, the wind driven generator is in a grid connection detection mode; kMThe inverter detection mode is set to 0. Pins A0, A1, B0 and B1 of the DSP are respectively connected with pins ADCIN06, ADCIN07, ADCIN08 and ADCIN09 to control the access mode.
The specific connection of the device of the invention is as follows: the wind driven generator is connected to a storage battery unit with a storage battery controller through a wind driven generator access controller; the wind driven generator is connected with an inverter access controller through a wind driven generator access controller, the output of an inversion unit is connected to a simulated load through a load selector to simulate the load under different detection modes, the wind driven generator is connected with a fan state detection mechanism, the output of the fan state detection mechanism is connected to an electrical performance detection mechanism, the electrical performance detection mechanism is connected with a simulated power grid, the simulated power grid is connected to the output end of the inversion unit through a grid-connected access controller, the wind driven generator access controller, the inverter access controller, the load selector, the electrical performance detection mechanism and the grid-connected access controller are all connected to an IO port of a DSP, and a communication module and a storage device are externally connected to the DSP.
The load simulation and simulation power grid unit control unit adjusts three load connection modes through a load selector: the load construction of fan detection during isolated island operation, the load construction of fan detection during grid-connected operation and the load construction of inverter detection during grid-connected operation.
(1) The simulation load of the wind turbine detection during the isolated island operation comprises a circuit breaker, a fuse and a three-phase star-connected capacitor, an inductor and a resistor array which are connected in series, and specifically comprises a variable resistor R1～R2Constant resistance R3～R6(ii) a Variable capacitance C1～C3Constant capacitance C4～C6(ii) a Variable inductance X1～X3Constant inductance X4～X6The joint components are connected in a manner shown in FIG. 4.
(2) The simulation load for detecting the fan during grid-connected operation comprises a circuit breaker and a fuse which are connected in series, and a capacitor which are connected in a three-phase hexagonal mannerInductive resistor array, in particular a variable resistor R1Constant resistance R2～R6(ii) a Variable capacitance C1～C3Constant capacitance C4～C6(ii) a Variable inductance X1～X2Constant inductance X3～X6The joint components are connected in a manner shown in FIG. 7.
(3) The analog load detected by the inverter during grid connection comprises a fuse, a breaker component, a three-phase star-connected capacitor, an inductor, a resistor and a resistor, wherein the three-phase star-connected capacitor, the inductor and the resistor are connected in parallel in an angle mode1，X1，C1Angle joint, R2，X2，C2Star connection, the specific connection is as shown in fig. 9.
The detection method comprises the following steps: detecting the working state of the wind driven generator to be detected during island operation, detecting the working state of the wind driven generator to be detected during grid connection and detecting the working state of the inverter to be detected during grid connection.
In this embodiment, a schematic diagram of wind turbine island operation detection is shown in fig. 2, and the wind turbine island system detection method includes the following steps:
step 1: and determining the detection condition of the wind driven generator, and connecting the fan to be detected and the standard inverter into a power generation system.
Step 2: detecting the off-grid power performance of the wind driven generator;
step 2.1: the wind speed is adjusted to 5m/s through the DSP, the wind driven generator is started, and the fan detection mechanism acquires data through the anemoscope, the electric energy quality analyzer and the oscilloscope.
Step 2.2: and the oscilloscope draws a fan voltage characteristic curve according to the collected fan line voltage, and calculates the similarity between the drawn fan voltage characteristic curve and a standard fan voltage characteristic curve.
Wherein,
s, fan voltage characteristic curve similarity;
Aithe voltage value at the standard time point on the fan voltage characteristic curve obtained by sampling,
Bithe voltage value at the standard time point on the standard fan voltage characteristic curve,
is the average value of the voltage and is,
n, the number of sampled data.
Step 2.2.1: randomly sampling data acquired by an oscilloscope, comparing the sampled data with a volt-ampere characteristic standard curve stored in a system, and calculating the similarity of the two curves by a formula (1). Wherein, the system collects 500 points in each clock period;
step 2.2.2: calculating the overall similarity S of all sampling periodspI.e. averaging the similarity for each sampling period:
step 2.2.3: calculating the average wind speed of all sampling periodsAnd average power
Step 2.3: and (3) the DSP regulates the wind speed again, and the step 2.2 is repeated, wherein the wind speed is increased by 1m/s in the last time when the wind speed ratio is regulated each time, and the upper limit of the wind speed is 12 m/s.
And step 3: and detecting the working state of the fan under the condition of the wind speed of 5 m/s.
Step 3.1: calculating the total wind energy conversion efficiency eta of the fancon。
Wherein:
Pnfor the overall efficiency of the fan output
ρ is the air density at that time
R is the radius of the fan blade
vnFor this purpose, the wind speed is measured at a measured wind speed, i.e. 5m/s
Step 3.2: and calculating the conversion efficiency of each point in the sampling period, and drawing an overall dynamic conversion efficiency curve. The conversion efficiency is calculated by the following formula:
ηn *＝0.8ηn+0.1ηn-1+0.05ηn-2+0.025×ηn-3+0.00625×ηn-4+0.00625×ηn-5+0.00625×ηn-6+0.00625×ηn-7≈83.24％
wherein etan *The data are stored by a memory, calculated by values of the front 7 sampling points, and mainly subjected to caching and filtering processing, so that the obtained power curve is smoother, and the influence of instability of a mechanical structure of the fan on experimental processing is reduced to the maximum extent.
Step 3.3, calculating the work evaluation index D of the fan under the island conditionvi：
Wherein:
Dvithe evaluation index of the fan under the condition of vi wind speed,
ηvifor the wind speed at vi the conversion efficiency of the fan,
Step 3.4, evaluating the work indexes D of the fans under different viviAnd taking an average value D.
And 4, checking the current detection environment of the fan to determine whether the current detection environment meets the requirement for entering the next step.
And 5, D is less than 1, which shows that the wind driven generator is suitable for being connected into a power generation system and can normally work under the condition of island operation.
The detection schematic diagram when the fan is connected to the grid is shown in fig. 5, and under the grid-connected state, the detection of the grid-connected working state of the wind driven generator to be detected is carried out according to the following steps:
step 1: and determining grid-connected detection conditions, and connecting the fan to be detected and the standard inverter into a power generation system.
Step 2: collecting grid-connected power performance parameters of the wind generating set, and setting a sampling period to be 1 mu s and a sampling frequency to be 500 HZ.
The wind speed is adjusted to the rated wind speed of the wind driven generator through the DSP, and the fan detection mechanism collects parameter data through the anemoscope, the power quality analyzer and the oscilloscope.
And step 3: calculating data of each sampling point in each sampling period, wherein the data comprises fan output voltage, inverter output voltage and fan output electric energy frequency, respectively drawing a dynamic curve, and calculating the data according to the following formula: qn *＝0.8Qn+0.1Qn-1+0.05Qn-2+0.025×Qn-3+0.00625×Qn-4+0.00625×Qn-5+0.00625×Qn-6+0.00625×Qn-7Wherein Qn *The data are stored by a memory and are obtained by jointly calculating the values of 7 sampling periods before the moment, the aim is to cache the stored data, the obtained power curve is smoother through filtering treatment, and the influence of instability of a mechanical structure of the fan on experimental treatment is reduced to the maximum extent.
And 4, step 4: and calculating the output power and the conversion efficiency of the fan according to the calculated output voltage of the fan, the output voltage of the inverter, the output electric energy frequency of the fan and the line current value output by the fan at the moment, and drawing a corresponding dynamic curve.
And 5: calculating the similarity S between the drawn fan output voltage curve, inverter output voltage curve, fan output electric energy frequency curve, fan output power curve and fan conversion efficiency curve and the corresponding standard curve:
wherein,
αirepresenting the distance between the measured actual curve to the origin;
βiand the distance between the standard curve and the corresponding point to the origin is shown.
Step 5.1: randomly sampling data acquired by the oscilloscope, comparing the sampled data with a standard curve stored by a system, and calculating the similarity of the two curves by using the formula. Wherein, the system collects 500 points in each clock period and calculates the overall similarity S of all sampling periodspI.e. averaging the similarity for each sampling period:
averaging the similarity of each period to obtain the overall similarity S:
step 5.2: substituting the fan output voltage curve similarity into the above formula to obtain the overall fan output voltage similarity SUO0.8725; substituting the similarity of the output voltage curve of the inverter into the above formula to obtain the similarity S of the output voltage of the whole inverterUO' -0.8636; substituting the fan output electric energy frequency curve similarity into the above formula to obtain the integral fan output electric energy frequency similarity Sf0.6714; substituting the power curve similarity into the formula to obtain the output power similarity S of the whole fanpApproximately equals 1.0371, and the conversion efficiency curve similarity is substituted into the formula to obtain the whole fan conversion efficiency similarity Sη≈0.5638。
Step 6: calculating the work evaluation index D of the fan under the condition of grid connectionG：
Wherein:
DGthe working evaluation index is the fan grid-connected work evaluation index;
SUOoutputting voltage similarity for the fan;
SUO' is inverter output voltage similarity;
Sfoutputting the electric energy frequency similarity for the fan;
Sηthe conversion efficiency similarity.
And 7: dG<1 indicates that the wind driven generator is suitable for being connected to a power generation system and can normally work under the condition of grid connection.
When the inverter is detected, the inverter to be detected and the standard wind driven generator are accessed, the simulation power grid is accessed through the grid-connected access controller, and the load selector is controlled by the DSP to select the corresponding simulation load.
When the grid is connected, the detection steps of the working state of the inverter to be detected are as follows:
step 1: adjusting the output voltage of the wind power generation unit to be about 12V of the rated value of the input voltage of the inverter; the load is finely adjusted to enable the output power of the inverter to be about 1000W of rated power, the output voltage of the wind driven generator is slowly adjusted to be about 380V, the output voltage of the inverter is changed within 80% -120% of the rated power, and the output voltage is measured to be different.
Step 2: adjusting the output voltage of the wind driven generator to 80% of the rated voltage value of the input voltage of the inverter; connecting an oscilloscope to the output end of the inverter for testing; and (3) drawing a curve of the output voltage of the inverter and the time, and calculating the similarity of the curve and the voltage of the standard 80% rated voltage in the memory:
wherein,
αirepresenting the distance between the measured actual curve to the origin;
βiand the distance between the standard curve and the corresponding point to the origin is shown.
And 3, step 3: changing the output voltage of the wind power generator into 90% rated voltage, calculating the similarity of 90% rated voltage S (U)90％0.8721; changing the output voltage of the wind power generator into 100% rated voltage, calculating 100% rated voltage similarity S (U)100％0.7935; changing the output voltage of the wind power generator into 110% rated voltage, calculating the 110% rated voltage similarity S (U)110％0.8036; changing the output voltage of the wind power generator into 120% rated voltage, calculating the similarity of the 120% rated voltage and the voltage S (U)120％≈0.8148。
And 4, step 4: drawing a curve of line current and time when the power generation of the fan is 80% -120% of the rated voltage, and obtaining the 80% rated voltage current similarity S (I) by adopting the same operations of the steps 2-380％Approximately 0.6398, 90% nominal voltage current similarity S (I)90％0.7025; 100% rated voltage current similarity S (I)100％0.7135; 110% rated voltage current similarity S (I)110％0.6991; 120% nominal voltage current similarity S (I)120％≈0.7183。
And 5, step 5: measuring inverter input line current I by oscilloscopeDCLine voltage UDCAnd the line current I of the outputACLine voltage UACAnd calculating the inversionThe converter conversion efficiency η:
and 6, step 6: regulating the input voltage of the inverter to a rated voltage value, regulating the output current to the rated value, and continuously and reliably working for not less than 8 h; regulating the output current to 125% rated value, and continuously and reliably working for not less than 1 min; the input voltage is regulated to 125% of rated value, the output current is regulated to the rated value, and the continuous reliable work is not less than 10 s. And judging whether the inverter works normally under the three conditions. If the inverter can normally work under three conditions, the inverter has a load index DP＝3；
And 7, step 7: calculating an inverter evaluation index:
evaluation index D of overall similarity of inverterS：
Inverter conversion efficiency evaluation index Dη：
Continuous working state performance evaluation index DPAs shown in step 6.
And 8, step 8: calculating the overall evaluation index of the inverter:
DN＝Dη+DS+LnDP＝2.0733
step 9: if D isNThe condition that the inverter is not suitable for being connected into the power generation system and cannot be directly connected into the inversion unit for grid-connected power generation is more than or equal to 1.
Claims (7)
1. The utility model provides a wind power generation grid-connected system detection device which characterized in that: the system comprises a power generation unit, a storage battery unit, an inversion unit, a load simulation and simulation power grid unit, a control unit and a detection unit;
the power generation unit comprises a wind driven generator and a fan access controller;
the inversion unit comprises an inverter and an inverter access controller;
the load simulation and simulation power grid unit comprises a load selector, a simulation load, a grid-connected access controller and a simulation power grid;
the control unit comprises a DSP, a storage device and a communication module;
the detection unit comprises a fan state detection mechanism and an electrical performance detection mechanism;
the storage battery unit comprises a storage battery, a storage battery controller and a Boost circuit;
the specific connections of the device are as follows: the wind driven generator is connected to a storage battery unit with a storage battery controller through a wind driven generator access controller, the wind driven generator is connected to an inverter with an inverter access controller through the wind driven generator access controller, the output of an inversion unit is connected to a simulation load through a load selector to simulate the load in different detection modes, the wind driven generator is connected with a fan state detection mechanism, the output of the fan state detection mechanism is connected to an electrical performance detection mechanism, the electrical performance detection mechanism is connected with a simulation power grid, the simulation power grid is connected to the output end of the inversion unit through a grid-connected access controller, the wind driven generator access controller, the inverter access controller, the load selector, the electrical performance detection mechanism and the grid-connected access controller are all connected to an IO port of a DSP, and a communication module and a storage device are externally connected to the.
2. The wind power generation grid-connected system detection device according to claim 1, characterized in that: the fan access controller of the power generation unit adopts a plurality of single-pole single-throw switches, one end of each switch is connected to serve as the output end of the power generation unit, and the other end of each switch is connected with different wind driven generators.
3. The wind power generation grid-connected system detection device according to claim 1, characterized in that: the inverter access controller of the inversion unit adopts a plurality of single-pole single-throw switches which are respectively positioned at the input end and the output end of the inverter to control the access of the inverter, the input end of the inverter is connected with the output end of the power generation unit and the output end of the storage battery unit, and the output end of the inverter access controller is connected with the load simulation and simulation power grid unit.
4. The wind power generation grid-connected system detection device according to claim 1, characterized in that: the load selector of the load simulation and simulation power grid unit comprises single-pole single-throw switches and a control circuit, the single-pole single-throw switches are connected in parallel, the control circuit is connected with the output end of a DSP (digital signal processor), the output end of the control circuit is connected with the single-pole single-throw switches, and the simulation load comprises three types: the simulation load for detecting the fan in the island operation comprises a circuit breaker and a fuse which are connected in series, and a capacitor, an inductor and a resistor array which are connected in a three-phase star shape; the simulation load detected by the fan during grid connection comprises a circuit breaker and a fuse connected in series, and a capacitor, an inductor and a resistor array connected in a three-phase hexagonal manner; the analog load detected by the inverter during grid connection comprises a fuse, a circuit breaker, a three-phase capacitor, an inductor and a resistor, wherein the capacitor, the inductor and the resistor are connected in star connection and in angular connection in parallel; the analog power grid comprises a protection circuit, a voltage stabilizing circuit, an adjustable capacitor, an adjustable resistor and a controllable alternating current voltage source, a grid-connected access controller adopts a plurality of single-pole single-throw switches to be connected in parallel, the input end of the grid-connected access controller is connected with the output end of an inverter access controller, the output end of the grid-connected access controller is sequentially connected with the protection circuit and the voltage stabilizing circuit, the three-phase output end of the voltage stabilizing circuit is connected with the adjustable capacitor and the adjustable resistor which are connected in parallel, and the controllable alternating current voltage source is connected to the output ends of the adjustable capacitor and the.
5. The wind power generation grid-connected system detection device according to claim 1, characterized in that: a fan state detection mechanism of the detection unit adopts an anemometer; the electric performance detection mechanism comprises a power quality analyzer and an oscilloscope.
6. The wind power generation grid-connected system detection device according to claim 1, characterized in that: the storage batteries of the storage battery unit adopt lead-acid storage batteries, and the storage batteries are connected in parallel; the storage battery controller comprises a voltage stabilizing chip, a power supply control chip and an output voltage regulating chip, the storage battery is connected with the input end of the voltage stabilizing chip, the output of the voltage stabilizing chip is connected with the input of the power supply control chip, and the input end of the output voltage regulating chip is connected with the output of the power supply control chip; the input of the Boost circuit is used as the input of the storage battery unit, and the output of the Boost circuit is connected with the output of the storage battery controller and used as the output of the storage battery unit.
7. The detection method of the wind power generation grid-connected system detection device according to claim 1, characterized in that: the method comprises the following steps: detecting the working state of a wind driven generator to be detected during island operation, detecting the working state of the wind driven generator to be detected during grid connection and detecting the working state of an inverter to be detected during grid connection;
when the island is operated, the working state detection steps of the wind driven generator to be detected are as follows:
step 1: determination of wind turbine detection conditions: the rated power of a storage battery unit, an inverter, a transformer, a load selector and a simulation load of the wind driven generator detection system is more than or equal to the apparent power of the wind driven generator;
step 2: detecting the off-grid power performance of the wind driven generator;
step 2.1: adjust wind speed through DSP to start aerogenerator, fan state detection mechanism passes through anemograph, electric energy quality analysis appearance and oscilloscope data acquisition, includes: setting a sampling period and a sampling frequency according to line voltage, line current and wind speed;
step 2.2: the oscilloscope draws a fan voltage characteristic curve according to the collected fan line voltage, and calculates the similarity between the drawn fan voltage characteristic curve and a standard fan voltage characteristic curve;
wherein,
S1similarity of voltage characteristic curves of the fans;
Aithe voltage value at the standard time point on the fan voltage characteristic curve obtained by sampling,
Bithe voltage value at the standard time point on the standard fan voltage characteristic curve,
n, the number of sampling periods;
step 2.2.1: randomly sampling data acquired by an oscilloscope, comparing the sampled data with a volt-ampere characteristic standard curve stored in a system, and calculating the similarity of the two curves by a formula (1), wherein the system acquires 500 points in each clock period;
step 2.2.2: calculating the overall similarity S of all sampling periodspThat is, the similarity of each sampling period is summed and then averaged:
step 2.2.3: calculating the average of all sampling periodsWind speed
And average power
Step 2.3: the DSP regulates the wind speed again, and the step 2.2 is repeated, wherein the wind speed is increased by 1m/s in the last time when the wind speed ratio is regulated each time, and the upper limit of the wind speed is 12 m/s;
and step 3: detecting the working state of the fan under different wind speeds;
step 3.1: calculating the total wind energy conversion efficiency eta of the fancon；
Wherein:
Pnfor the overall efficiency of the fan output
ρ is the air density at that time
R is the radius of the fan blade
vnFor the wind speed measured at that time
Step 3.2: calculating the conversion efficiency of each point in the sampling period, drawing a total dynamic conversion efficiency curve, wherein the conversion efficiency is calculated by adopting the following formula:
ηn *＝0.8ηn+0.1ηn-1+0.05ηn-2+0.025×ηn-3+0.00625×ηn-4+0.00625×ηn-5+0.00625×ηn-6+0.00625×ηn-7
wherein etan *The power curve is stored by a memory, is calculated by values of the first 7 sampling points of the sampling points, and is mainly subjected to caching and filtering processing on the stored data, so that the obtained power curve is smoother, and the influence of instability of a mechanical structure of the fan on experimental processing is reduced to the maximum extent;
step 3.3, calculating the work evaluation index D of the fan under the island conditionvi：
Wherein:
Dvithe evaluation index of the fan under the condition of vi wind speed,
ηvifor the wind speed at vi the conversion efficiency of the fan,
in order to sum the difference between the power and the rated frequency at n points in a sampling period, wherein PniRepresenting the actual power, P, of the ith sample point in the nth sample periodBniRepresenting the standard power of the ith sampling point in the nth sampling period;
step 3.4, evaluating the work indexes D of the fans under different viviTaking an average value D;
step 4, checking the current detection environment of the fan;
step 4.1, checking whether the power generation system meets the fan detection condition, entering the next step if the power generation system meets the fan detection condition, and regarding the obtained data as error data if the power generation system does not meet the fan detection condition;
step 4.2, checking whether the drawn curve has data mutation points, if so, checking reasons, and storing the obtained data in a memory for checking;
step 5, if D is larger than 1, the detected fan cannot work normally under the condition of island operation if the detected fan is connected to a power generation system; if D <1, the wind driven generator is suitable for being connected into a power generation system and can normally work under the condition of island operation;
the detection method of the working state of the wind driven generator to be detected during grid connection comprises the following steps:
step 1: determining grid connection detection conditions;
step 2: collecting grid-connected power performance parameters of the wind generating set, and setting a sampling period and sampling frequency;
adjust the rated wind speed of aerogenerator to through DSP, fan state detection mechanism passes through the anemoscope, and electric energy quality analyzer and oscilloscope gather parameter data, include: line voltage, line current, and wind speed;
and step 3: calculating data of each sampling point in each sampling period, wherein the data comprises fan output voltage, inverter output voltage and fan output electric energy frequency, and respectively drawing a dynamic curve;
and 4, step 4: calculating the output power and the conversion efficiency of the fan according to the calculated output voltage of the fan, the output voltage of the inverter, the output electric energy frequency of the fan and the line current value output by the fan at the moment, and drawing a corresponding dynamic curve;
and 5: calculating the similarity S between the drawn fan output voltage curve, inverter output voltage curve, fan output electric energy frequency curve, fan output power curve and fan conversion efficiency curve and the corresponding standard curve2：
Wherein,
αirepresenting the distance between the measured actual curve to the origin;
βirepresenting the distance between the corresponding point of the standard curve and the origin;
step 5.1: randomly sampling data collected by oscilloscope, and storing the sampled data with systemComparing the stored standard curves, and calculating the similarity of the two curves, wherein the system collects 500 points in each clock cycle and calculates the similarity S of each cyclepSimilarity obtained for data in each sampling period:
the obtained similarity summation and average of each sampling period is the overall similarity S3：
Step 5.2: substituting the similarity of the fan output voltage curve into formula (7) to obtain the similarity S of the integral fan output voltageUO(ii) a Substituting the similarity of the output voltage curve of the inverter into the above formula to obtain the similarity S of the output voltage of the whole inverterUO'; substituting the fan output electric energy frequency curve similarity into the above formula to obtain the integral fan output electric energy frequency similarity Sf(ii) a Substituting the power curve similarity into the formula to obtain the overall fan output power similarity S'pSubstituting the conversion efficiency curve similarity into the formula to obtain the overall fan conversion efficiency similarity Sη；
Step 6: calculating the work evaluation index D of the fan under the condition of grid connectionG：
Wherein:
DGthe working evaluation index is the fan grid-connected work evaluation index;
SUOoutputting voltage similarity for the fan;
SUO' is inverter output voltage similarity;
Sfoutputting the electric energy frequency similarity for the fan;
Sηto conversion efficiency similarity;
and 7: evaluation index judgment, if DG>1, when the fan is connected to a power generation system, the fan cannot normally work under the condition of grid connection; if D isG<1, the wind driven generator is suitable for being connected into a power generation system and can normally work under the condition of grid connection;
the detection steps of the working state of the inverter to be detected during grid connection are as follows:
step 1: adjusting the output voltage of the wind power generation unit to a rated value of the input voltage of the inverter; finely adjusting the load to enable the output power of the inverter to be rated power, and slowly adjusting the output voltage of the wind driven generator to enable the output voltage to change within 80% -120% of the rated power and measure that the output voltage is different from the output voltage;
step 2: adjusting the output voltage of the wind driven generator to 80% of the rated voltage value of the input voltage of the inverter; connecting an oscilloscope to the output end of the inverter for testing; and (3) drawing a curve of the output voltage of the inverter and the time, and calculating the similarity of the curve and the voltage of the standard 80% rated voltage in the memory:
and 3, step 3: changing the output voltage of the wind power generator into 90% rated voltage, calculating the similarity of 90% rated voltage S (U)90%(ii) a Changing the output voltage of the wind power generator into 100% rated voltage, calculating 100% rated voltage similarity S (U)100%(ii) a Changing the output voltage of the wind power generator into 110% rated voltage, calculating the 110% rated voltage similarity S (U)110%(ii) a Changing the output voltage of the wind power generator into 120% rated voltage, calculating the similarity of the 120% rated voltage and the voltage S (U)120%；
And 4, step 4: drawing a curve of line current and time when the power generation of the fan is 80% -120% of the rated voltage, and obtaining the 80% rated voltage current similarity S (I) by adopting the same operations of the steps 2-380%90% nominal voltage current similarity S (I)90%(ii) a 100% rated voltage current similarity S (I)100%(ii) a 110% rated voltage current similarity S (I)110%(ii) a 120% nominal voltage current similarity S (I)120%；
And 5, step 5: measuring inverter input line current I by oscilloscopeDCLine voltage UDCAnd the line current I of the outputACLine voltage UACAnd calculating the inverter conversion efficiency eta:
and 6, step 6: regulating the input voltage of the inverter to a rated voltage value, regulating the output current to the rated value, and continuously and reliably working for not less than 8 h; regulating the output current to 125% rated value, and continuously and reliably working for not less than 1 min; the input voltage is regulated to 125% of rated value, the output current is regulated to the rated value, and the continuous reliable work is not less than 10 s; judging whether the inverter works normally under three conditions: if the inverter can normally work under three conditions, the inverter has a load index DP3; under two conditions, the device can work normally, and then the loading index D is obtainedP1.5; if the load index D can not work normally under three conditionsP＝0；
And 7, step 7: calculating an inverter evaluation index:
evaluation index D of overall similarity of inverterS：
Inverter conversion efficiency evaluation index Dη：
Continuous working state performance evaluation index DPAs shown in step 6;
and 8, step 8: calculating the overall evaluation index of the inverter:
DN＝Dη+DS+LnDP
step 9: if D isNThe condition that the inverter is suitable for grid-connected power generation in the connected power generation system is less than or equal to 1; otherwise, the inverter is not suitable for being connected into the power generation system and cannot be directly connected into the power generation systemAnd connecting the power generation grid into an inversion unit for grid-connected power generation.
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