Design and Comparative Study of PhotovoltaicMaximum Power Point Tracking ConverterWith DC Motor Speed Control

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 Power Electronics Specalists Conf.,Vol.1, 1998.

[2] Joe-Air, J., Tsong-Liang, H., Ying-Tung, H., and Chia-Hong ,C. “Maximum Power Tracking for Photovoltaic Power Systems," Tamkang Journal of Science and Engineering ,Vol.8, No 2,pp. 147-153(2005).

[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 , Canadian Solar Conf. 2007.

[5] Vikrant.A.Chaudhari, “ Automatic Peak Power Tracking for Solar PV Module Using dSpacer Software. ," in Maulana Azad National Institute Of Technology, vol.Degree of Master of Technology In Energy. Bhopal: Deemed University, 2005,pp.98.

Grid Interactive Bidirectional Solar PV Array FedWater Pumping System

 ABSTRACT:

This paper proposes a grid interactive bidirectional solar water pumping system using a three phase induction motor drive (IMD). A single phase voltage source converter (VSC) is used to direct the flow of power from grid supply to the pump and back to the grid from SPV array. A boost converter is used for the maximum power point tracking (MPPT) of the SPV array. A smart power sharing control is proposed, with preference given to the power from SPV array over the grid power. Moreover, the grid input power quality is also improved. Various modes of operation of the pump are elaborated and the performance of the system at starting, in steady state and dynamic conditions are simulated. The simulated results show the novelty and the satisfactory performance of the system.

KEYWORDS:

1.      Solar water pump

2.      MPPT

3.      Grid interactive

4.      Smart power sharing

SOFTWARE: MATLAB/SIMULINK

 CIRCUIT DIAGRAM:

Fig. 1. Configuration for the single phase grid interactive SPV water

pumping system

 EXPECTED SIMULATION RESULTS:

Fig. 2(a) Starting performance of the proposed system in mode I

Fig. 3(b) Steady state performance of the proposed system in mode I

Fig. 4(c) Performance of the system in mode I under decreasing radiation

from 800 W/m2 to 500 W/m2

Fig. 5(d) Performance of the system in mode I under increasing radiation

from 500 W/m2 to 800 W/m2

Fig. 6(a) Starting performance of the system in mode II

Fig. 7(b) Steady state performance of the system in mode II

Fig. 8(a) Characteristics of the system in mode III with decrease in

Radiation

Fig. 9(b) Characteristics of the system in mode III with increase in

Radiation

Fig. 10(a) Characteristics of the system in mode IV with increase in

Radiation

Fig. 11 (b) Characteristics of the system in mode III with decrease in

radiation

CONCLUSION:

A single phase grid interactive solar water pumping is presented in the paper. Various modes of operation are identified and simulated in MATLAB Simulink environment. The simulated results have demonstrated the satisfactory performance of the system at starting, and in steady and dynamic conditions. The proposed system not only is able to share the power between two sources but it also improves the quality of power drawn. Moreover, the system manages to feed the power from the SPV array as in when required. The system is well suited for the rural and agricultural usage.

REFERENCES:

[1] J. Zhu, “Application of Renewable Energy,” in Optimization of Power System Operation, Wiley-IEEE Press, 2015, p. 664.

[2] Z. Ying, M. Liao, X. Yang, C. Han, J. Li, J. Li, Y. Li, P. Gao, and J. Ye, “High-Performance Black Multicrystalline Silicon Solar Cells by a Highly Simplified Metal-Catalyzed Chemical Etching Method,” IEEE J. Photovolt., vol. PP, no. 99, pp. 1–06, 2016.

[3] M. Steiner, G. Siefer, T. Schmidt, M. Wiesenfarth, F. Dimroth, and A. W. Bett, “43% Sunlight to Electricity Conversion Efficiency Using CPV,” IEEE J. Photovolt., vol. PP, no. 99, pp. 1–5, 2016.

[4] M. Kolhe, J. C. Joshi, and D. P. Kothari, “Performance analysis of a directly coupled photovoltaic water-pumping system,” IEEE Trans. Energy Convers., vol. 19, no. 3, pp. 613–618, Sep. 2004.

[5] S. R. Bhat, A. Pittet, and B. S. Sonde, “Performance Optimization of Induction Motor-Pump System Using Photovoltaic Energy Source,” IEEE Trans. Ind. Appl., vol. IA-23, no. 6, pp. 995–1000, Nov. 1987.

Solar Powered Based Water Pumping System Using Perturb and Observation MPPT Technique

ABSTRACT:

This paper concentrates on solar photovoltaic(PV) water pumping system using perturb and observation maximum power point tracking(MPPT) technique. This whole system is divided into two stages. In the first stage, an arrangement of PV modules is made which is a combination of number PV cells in series or parallel to extract the solar energy and convert into electricity. To maximize the power output of PV module, perturb and observation (P&O) MPPT technique has been used. In its second stage, direct torque and flux control(DTFC) with space vector modulation(SVM) is used to control switching pulses of the voltage source inverter(VSI). The speed of induction motor drive is controlled by DTFC technique. The whole system is developed in MATLAB and outputs are observed.

KEYWORDS:

1.      Solar PV array

2.      MPPT

3.      P&O Algorithm

4.      DC-DC Boost converter

5.      DTFC-SVM

6.      Induction motor

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Fig-1: Solar Water Pumping System

 EXPECTED SIMULATION RESULTS:

Fig. 2. DC link voltage (output voltage of the boost converter)

Fig. 3. output waveform of IMD under no load

 Fig. 4. Waveforms under loading condition

CONCLUSION:

In this paper control methods which regulates the flow rate of water supply of solar powered based water pumping systen using IMD is illustrated. From the simulation results it can be concluded that this system has good performance. As per view of irrigation system , the SPV array has been operated under standard enviromental conditions. The system is operated on maximum power by using P&O MPPT algorithm. Water flow rate and stator current of motor is controlled by the speed PI controller.

 REFERENCES:

[1] U. Sharma, S. Kumar, and B. Singh, “Solar array fed water pumping system using induction motor drive,” 1st IEEE Int. Conf. Power Electron. Intell. Control Energy Syst. ICPEICES 2016, 2017.

[2] M. A. G. De Brito, L. P. Sampaio, L. G. Jr, G. A. Melo, and C. A. Canesin, “Comparative Analysis of MPPT Techniques for PV Applications,” pp. 99–104, 2011.

[3] D. P. Hohm, “Comparative Study of Maximum Power Point Tracking Algorithms Using an Experimental, Programmable, Maximum Power Point Tracking Test Bed,” 2000.

[4] S. Member, “A Comparative study of different MPPT techniques using different dc-dc converters in a standalone PV system,” pp. 1690–1695, 2016.

[5] Z. Ben Mahmoud, M. Ramouda, and A. Khedher, “A Comparative Study of Four Widely-Adopted MPPT Techniques for PV Power Systems,” no. 1, pp. 16–18, 2016.