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1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1443 Optimal Control Strategy for a Solar Photovoltaic Power System using MATLAB Simulink N. Narasimhulu1, D.Ameer Basha2, K.Swathi3, Dr. R. Ramachandra4 1Associate and Head, Department of EEE, SKD College of Engineering, Gooty, AP, India 2PG Student, SKD College of Engineering, Gooty, AP, India 3Assistant Professor, Dept of EEE, SKD, Gooty, Andhra Pradesh, India 4Principal, SKD College of Engineering, Gooty, AP, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract: In this paper, the Maximum Power Point Techniques to track the Maximum Power is investigated. PV power generation systems have one big problem that the amount of electric power generated by PV module is always changingwith weather conditions. The weather and load changes cause a nonlinear I-V and P-V characteristics of a solar array which depends on the solar radiation and array temperature. In this paper, proposed an improved InC algorithm for tracking a MPP on the V-I characteristic of the solar PV panel. The simulation obtained results validated the effectiveness of the proposal under various atmospheric conditions using Matlab Simulink software. Keywords: PV, MPPT, Irradiation. I. Introduction As sun oriented power increments in notoriety, the requirement for this energy to end up noticeably more proficient is apparent. It is imperative with photovoltaic age to work the system at high powerproductivitybyguaranteeingthat,thesystem iscontinually working at the eak power point paying little heed to changesin load and climate conditions. Asthe sun oriented board yields control, its most extreme created control changes with the sun powered radiation and temperature and the electrical normal for the heap may likewise change. Besides, the solar cell V-I trademark is nonlinear and fluctuates with light and temperature. When all is said in done, there isa remarkable point on the V-I or V-P curve, calledthemaximumPowerPoint (MPP), at which the whole PV system (array, converter, etc ) works with most extreme proficiency and produces its greatest yield control. As the area of the MPP on the I-V bend shifts in an erratic way it can't be characterized in advance because of changes of light and PV board temperature. Asneeds be, the utilization of MPPT calculationor computing model is requiredto find this point. There are a few techniquesto track the MPP of the photovoltaic system that have been precisely contemplated, created and distributed in the course of the most recent decades. There are varieties between these methods regarding, effortlessness, sensor necessities, cost, scope of proficiency, merging pace and equipment usage. Some MPPTcalculationsbeat the others under the same working conditions. This proposition proposesan enhanced InC calculation for following a MPPon the V-I normal for the sun powered PV board. In light of the ST and MPPT, the sunlight based PV board is constantlyensuredto work in a versatile and ideal circumstance for all conditions. II. Renewable Energy Renewable energy (RE) derived from natural sources such as wind, solar, hydro and biomass has potential to meet diverse and growing energy requirements. Traditionally, Renewable Energy sources have been used for heating, cooking, steam production, moving ships and also for powering mills to grind grains. Examples of Conventional Power Sources are Coal, nuclear, oil, and natural gas and Renewable Power Sources are Wind, solar, biomass geothermal, and ocean etc. An alternative to the nuclear and fossil fuel power isrenewable energy technologies (hydro, wind, solar, biomass, geothermal, and ocean). Among the other renewable power sources, wind and solar have recently experienced a rapid growth around the world. The solar to electricity conversion is shown in Figure 1: Figure 1: Solar to electricity conversion
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1444 Solar generated electricity has two main principles of operation; using the light from the sun to super- heat water and drive a steam turbine, or generating electricity directly via the photoelectric effect. The renewable compare well with the conventional in economy. Because of these benefits, many utilities and regulatory bodies are increasingly interested in acquiring hands on experience with renewable energy technologies in order to plan effectively for the future. III. SOLAR PHOTOVOLTAIC The incorporation of a substantial number of installed PV generators will have expansive outcomes on the conveyance organizes as well as on the national transmission and age system. In the event that the PV generators are based on the rooftop and sides of structures, a large portion of them will be situated in urban regions and will be electrically near burdens. Then again, these PV creating units might be subject to regular mode disappointments that may cause the sudden or fast separation of an extensive extent of working PV limit. Sun oriented vitality is the daylight vitality gathered and used to give electricity, warming, cooling homes, organizations or industry. It is a feasible source as in it doesn't give ozone depleting substance outflows and turnsout to be natural inviting wellsprings of vitality. It isfreeand maintainableasthe sun is here to stay. Photovoltaic is regarded as a phenomenon. Figure 2: Equivalent circuit of solar cell with one diode A PV cell is usually embodied by an electrical equivalent of one-diode, resistance series Rs and resistance parallel Rp as shown in figure 2. The datasheet which gives the electrical characteristics is calculated under standard test condition STC when the temperature T is 25°C and the irradiance G is 1000 W/m2. Figure 3 shows the Boost converter. In continuous conduction mode (CCM), the switch is ON for period t to ton as shown Fig.3.10. Figure 4: Continuous conduction mode
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1445 s In this paper, two of the most prevalent MPPT algorithms, perturb and observe as well as incrementalconductance,wereused to control the converter and solar panel so that the panel operated at its MPP. Figure 5: Basic MPPT system Perturb and observe is probably the most commonly utilized MPPT method. The basic premise for P&O is to continually perturb or alter the power converter’s operating point and then to observe or sense the ensuing effects. Utilizing the P&O algorithm has several benefits. For one, it is a reliable approach to MPPT, which means that it finds the MPP in almost all circumstances. The Incremental conductance method eliminatesthe drawbacksofthe Perturband Observe method. It uses the advantage that the derivate of the power with respect to the voltage at the maximum power point is zero. Furthermore the derivative at the left of the MPP is greater than zero and less than zero to the right of the MPP. The incremental conductance can determine that the MPPT has reached the MPP and stop perturbing the operating point. IV. Simulation Result Analysis This section presents detailed simulation results of the proposed solar photovoltaic using improved InC MPPT & will be compared with conventional MPPT. The simulated system is shown in Figure 6. Simulation studies are carried out in the MATLAB/SIMULINK environment. Figure 6: Matlab Simulink model for solar PV system Table 1: Simulation parameters S. No. Description Values 1. Maximum power, Pmax 22 W 2. Short-circuit current, Is c 1.34 A 3. Open-circuit voltage, Voc 21.99 V Simulations are performed using MATLAB/SIMULINK software for tracking MPPs of the solar PV arraywhosespecifications and parameters are in Table 1.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1446 Figure 7: The variations of the solar irradiation and temperature Figure 8: OMP with the P&O and improved InC algorithms under the variation of the solar irradiation Figure 9: OMP with the InC and improved InC algorithms under the variation of the solar irradiation Figure 10: OMP with the P&O and improved InC algorithms under both the variations of the solar irradiation and temperature
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1447 The obtained output powers are shown as in Figure 7 & 8 using the P&O, InC and improved InC algorithmsunder thevariation of both the temperature and solar irradiation. It can be realized that the simulation results of the cases using the improved InC algorithm are always better than the cases using the P&O and InC algorithms, Figure 8-9. V. Conclusion In this paper, the proposed InC algorithm improves the conventional InC algorithm with an approximation which reduces the computational burden as well as the application of the CV algorithm to limit the search space and increase the convergence speed of the InC algorithm. This improvement overcomes the existing drawbacks of the InC algorithm. References: 1. D. C. Huynh, T. M. Nguyen, M.W. Dunnigan, andM. A.Mueller, “Global MPPT of solar PV modules is using a dynamic PSO algorithm under partial shading conditions,” in Proc. IEEE Int. Conf. CleanEnergy Technol., 2013, pp. 133–138. 2. G. M. Master, “Renewable and efficient electric power systems,” in Renewable and Efficient Electric Power Systems. New York, NY, USA: Wiley, 2004, pp. 385–604. 3. B. Liu, S. Duan, F. Liu, and P. Xu, “Analysis and improvement of maximum power point tracking algorithm based on incremental conductance method for photovoltaic array,” in Proc. 7th Int. Conf. Power Electron.Drive Syst., 2007, pp. 637–641. 4. W. Ping, D. Hui, D. Changyu, and Q. Shengbiao, “An improved MPPT algorithm based on traditional incremental conductance method,” in Proc.4th Int. Conf. Power Electron. Syst. Appl., 2011, pp. 1–4. 5. Y. Zhihao and W. Xiaobo, “Compensation loop design of a photovoltaic system based on constant voltage MPPT,” in Proc. Asia-Pacific Power Energy Eng. Conf., 2009, pp. 1–4. 6. K. A. Aganah and A. W. Leedy, “A constant voltage maximum power point tracking method for solar powered systems,” in Proc. IEEE 43rd Southeastern Symp. Syst. Theory, 2011, pp. 125–130. 7. J. H. R. Enslin, M. S. Wolf, D. B. Snyman, and W. Sweigers, “Integrated photovoltaic maximum power point tracking converter,” IEEE Trans. Ind. Electron., vol. 44, no. 6, pp. 769–773, Dec. 1997. 8. R. Faranda and S. Leva, “Energy comparison of MPPT techniques for PV systems,” WSES Trans. Power Syst.,vol.3, no. 6, pp. 446–455, 2008. 9. X. Jun-Ming, J. Ling-Yun, Z. Hai-Ming, and Z. Rui, “Design of track control system in PV,” in Proc.IEEE Int. Conf. Softw. Eng. Service Sci., 2010, pp. 547–550. 10. Z. Bao-Jian, G. Guo-Hong, and Z. Yan-Li, “Designment of automatic tracking system of solar energy system,” in Proc. 2nd Int. Conf. Ind. Mechatronics Autom., 2010, pp. 689–691. 11. W. Luo, “A solar panels automatic tracking system based on OMRON PLC,” in Proc. 7th Asian Control Conf., 2009, pp. 1611–1614. 12. W. Chun-Sheng,W. Yi-Bo, L. Si-Yang, P. Yan-Chang, and X. Hong-Hua, “Study on automatic sun- tracking technology in PV generation,” in Proc.3rd Int. Conf. Elect. Utility Deregulation Restruct. Power Technol., 2008, pp. 2586–2591. 13. C. Alexandru and C. Pozna, “Different tracking strategies for optimizing the energetic efficiency of a photovoltaic system,” in Proc. Int. Conf. Autom., Quality Testing, Robot, 2008, pp. 434–439. 14. R. Sridhar, S. Jeevananthan, N. T. Selvan, and P. V. Sujith Chowdary, “Performance improvementofaphotovoltaic array using MPPT P&O technique,” in Proc. Int. Conf. Control Comput. Technol., 2010, pp. 191– 195. 15. N.M. Razali and N. A. Rahim, “DSP-based maximum peak power tracker using P&O algorithm,” in Proc. IEEE 1st Conf. Clean Energy Technol. 2011, pp. 34–39. 16. L. Chun-Xia and L. Li-qun, “An improved perturbation and observation MPPT method of photovoltaic generates system,” in Proc. 4th IEEE Conf.Ind. Electron. Appl., 2009, pp. 2966–2970.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 1448 17. Y. Jung, J. So, G. Yu, and J. Choi, “Improved perturbation and observation method (IP&O) of MPPT control for photovoltaic power systems,” in Proc. 31st IEEE Photov. Spec. Conf., 2005, pp. 1788– 1791. 18. X. Liu and L. A. C. Lopes, “An improved perturbation and observation maximum power point trackingalgorithmforPV arrays,” in Proc. IEEE 35th Annu. Power Electron. Spec. Conf., 2004, pp. 2005–2010. 19. D. C. Huynh, T. A. T. Nguyen, M. W. Dunnigan, and M. A. Mueller, “Maximum power point trackingofsolar photovoltaic panels using advanced perturbation and observation algorithm,” in Proc. IEEE Conf. Ind. Electron. Appl., 2013, pp. 864–869. 20. N. Narasimhulu, B. Sahithi, Dr. R. Ramachandra” Control of grid connected pv inverter using lmf adaptive method” International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 09 | Sep -2017 www.irjet.net p-ISSN: 2395-0072. BIOGRAHIES: Mr. N. Narasimhulu has completed his professional career of education in B. Tech (EEE) from JNTU Hyderabad in the year 2003. He obtained M. Tech degree from JNTU, HYDERABAD, in year 2008. He is pursuing Ph. D in the area of power system in JNTU Anantapuramu. He has worked as Assistant Professor from 2003-2008 and at present working as an Associate Professor and Head of the EEE Department in Srikrishna Devaraya Engineering College, Gooty of Anantapuramu district (AP). He is a life member of ISTE, FIE, IEEE. His areas of interests include Electrical Power Systems, Electrical Circuits and Control Systems D.AMEER BASHA has completed his professional career of education in B.Tech (EEE) at ShriShirdiSai Institute of Science and Engineering College and pursuing M.Tech from Sri Krishnadevaraya engineering college, Gooty, Anantapur(AP).He is interested in Electrical Power Engineering. K.SWATHI has 3 years’ experience in teaching in graduate and post graduate level and she presently working as Assistant professor in department of EEE Sri Krishna devaraya Engineering College, Gooty, AP, India. Dr. R. RAMACHANDRA has completed his professional career of education inB. Tech(MECHANICAL) from JNTU Hyderabad. He obtained M. Tech degree from JNTU, Hyderabad. He obtained Ph. D degree from JNTU, Hyderabad At present working as Professor and Principal in Sri Krishna Devaraya Engineering College, Gooty of Anantapuramu district (AP).
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