ABSTRACT:
The photovoltaic panels as the power supply depends upon
the weather condition (radiation, temperature). These conditions must be known
to control the running point of the greatest power of photovoltaic panel. In
the present paper , the study and design searching the greatest power point by
solar panels direct current motor separately excited speed control. Three control
methods studied and designed to search the greatest power point of the
photovoltaic panel and speed control of direct current motor. The first method
is perturbing and observing controller. The second method is
proportional-integral-derivative controller, whereas the controller gains are
obtained by using trial and error process. The third method is
proportional-integralderivative controller based on bacterial foraging
algorithm. It used to compute the proportional-integral-derivative controller gains.
The three control methods are used to obtain the greatest power point of PV
panels and improve the direct current motor output speed performance response.
The study of comparative results for open loop and close loop system with
different designed controllers. The Simulation results were studied and
compared under many weather conditions and direct current motor load torque
disturbance. The results of comparison that produce the best controller method
is proportional-integral-derivative controller with bacterial foraging
algorithm which produce optimal performance results..
KEYWORDS:
1. Photovoltaic
Panel (PV)
2. Perturbation and Observation Algorithm (Per &
Obs)
3. Searching the
Greatest Power Point (SGPP)
4. Direct
Current Motor (DC Motor),Proportional
5. Integral
Derivative Controller (PID) and Bacterial Foraging
6. Optimization
Algorithm (BFOA)
SOFTWARE: MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig.1 The close loop system block diagram
EXPECTED SIMULATION RESULTS:
Fig.2. The PVpower response under various weather
condition without
Controller
Fig.3 DC motor speed response when TL=5-8 Nm without
controller
Fig.4 PV power response under various condition with
Per and Obs Controller
Fig.5. DC motor speed response when TL=5-8 Nm with
Per and Obs Controller
Fig.6 PV power response under various condition with
PID controller
Fig.7 DC motor speed response when TL=5-8 Nm with
PID controller
Fig.8 PV power response under various condition with
PID/BFOA Controller
Fig.9 DC motor speed response when TL=5-8 Nm with
PID/BFOA Controller
Fig.10 PV power responses when various weather
condition with three different controllers
Fig.11. Zoom of Power responses with three different
controllers
Fig.12. DC motor speed responses when TL=5-8 Nm with
three different Controllers
Fig.13. Zoom of speed response with three different
controllers.
CONCLUSION:
The
PV system designs and studies with the dc-dc step up boost converter, which
loads by DC motor. The DC motor loads by various load torque. The simulation
results of the system studies and the PV panels’ output power responses have been
studied under the various weather conditions. The DC motor speed control
performance have been studied, three techniques were designed, studied and used
to improve and track of the maximum power of the PV panels system and these
techniques were used to improve the DC motor speed performance. The first
technique is Perturbation and Observation technique. The second technique is
the proportional-integral-derivative controller and the third technique
is hybrid Proportional-integral-derivative with optimization algorithm
of bacterial foraging. The output motor speed and maximum power of the PV
panels (PV model, DC motor) with the three techniques have been tested and comparatively
studied. These comparative results under the various weather conditions and
various external load torque that produce the best performance results and
greatest tracking power of PV panels is the PID controller based BFOA controller
.the comparison results in the table 4 and 5 proved that.
REFERENCES:
[1]
H. Chihchiang and S. Chihming, “Study of Maximum Power Tracking Techniques and
Control of DC/DC Converter for Photovoltaic Power System ," in IEEE PESC
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Tracking for Photovoltaic Power Systems," Tamkang Journal of Science and
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[3]
Liu C., Wu B., and Cheung R., “ Advanced Algorithm for MPPT Control of
Photovoltaic System," 1st Canadian Solar Building Research Network
Conference, Aug. 2006.
[4]
A. Yafaoui.,B. Wu and R. Cheung, “Implementation of Maximum Power Point
Tracking Algorithm for Residential Photovoltaic Systems ," Calgary, June ,
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[5]
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