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732 MEASUREMENT AND CHARACTERIZATION<br />

5<br />

P max<br />

10<br />

4<br />

3<br />

Power *0.1<br />

1<br />

Current or power<br />

[A] or [W]<br />

2<br />

1<br />

0<br />

Dark current<br />

V OC<br />

0.1<br />

0.01<br />

Dark current<br />

[A]<br />

−1<br />

−2<br />

I SC<br />

Light current<br />

0.001<br />

−3<br />

0.0001<br />

−2 0 2 4 6 8 10 12 14 16 18 20 22 24<br />

Voltage<br />

[V]<br />

Figure 16.8<br />

Typical light and dark current versus voltage curve of a commercial 50-W PV module<br />

of commercial equipment includes the 20 I –V points in the power quadrant closest<br />

to zero current. Another approach that works for all types of cells and modules is to<br />

include in the linear regression fit all points that satisfy the constraint that the absolute<br />

value of the voltage be less than 10% of the voltage at zero current and the additional<br />

constraint that the absolute value of the current be less than 20% of the current at<br />

zero voltage.<br />

The value of I SC is usually determined by linear interpolation of the two points<br />

closest to zero voltage. Performing a linear curve fit using more than two points can<br />

reduce the uncertainty in I SC ; however, care must be taken not to include points resulting<br />

from bypass diodes in parallel with a module or fitting in nonlinear regions. One<br />

manufacturer includes the 20 I –V points in the power quadrant closest to zero voltage.<br />

Another approach that works for a wide variety of cells and modules is to include all<br />

I –V points in the linear fit that satisfy the constraint that the current is within 4% of the<br />

current at zero voltage and the additional constraint that the absolute value of the voltage<br />

be less than 20% of the voltage at zero current. These constraints make no assumptions<br />

about the spacing between points (fit to a fixed number of I –V points) or the shape of<br />

the curve (avoiding including nonlinear regions) while including as many I –V points in<br />

the linear regression as possible.<br />

The maximum power (P max ) is often taken to be the largest measured power. A<br />

more accurate method is to perform a fourth-order or higher polynomial curve fit to the<br />

measured power versus voltage data points within 80% of P max [119]. To prevent erroneous<br />

results on low FF devices, the power versus voltage data selected for curve fitting<br />

must be restricted to voltages greater than 80% of the voltage at the measured maximum<br />

power (V max ). This algorithm can be improved by selecting the order of polynomial that<br />

gives the best fit to the data up to a fifth order. An approach recommended by American<br />

Society of Testing and Materials (ASTM) is to perform a fourth-order polynomial<br />

fit to the data where the measured current is greater 0.75I max and less than 1.15I max and

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