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Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System

Year 2014, Volume: 4 Issue: 3, 810 - 815, 01.09.2014

Abstract

A novel maximum power angle (MPA) based maximum power point tracking (MPPT) technique is reported. In this technique, a graphical and mathematical approach based maximum power angle determination mechanism is adopted. On the I-V characteristic curve, the angle made from the intersection point of open circuit voltage (VOC) and short circuit current (ISC) with respect to the voltage (V) axis to the point of maximum power (MPP) is determined using the known parameters of the solar PV module. The proposed MPPT technique is able to minimize the dependency on various voltage and current sensor requirements, thereby the reduced requirement of hardware components. Due to this fact, the implementation cost of this technique is expected low and maintenance needs of such technique based MPPT system would be also minimized.

References

  • Chin C. S., Neelakantan P., Yoong H. P. and Teo K. T. K., “Fuzzy logic based MPPT for photovoltaic modules influenced by solar irradiation and cell temperature, In Proc. UKSim 13th International Conference on Modeling and Simulation, March 30-April 01 (2011), pp.376-381.
  • Otieno C.A, Nyakoe G.N. and Wekesa, C.W., "A neural fuzzy based maximum power point tracker for a photovoltaic system," In Proc. AFRICON, 2009.., 23- 25 doi: 10.1109/AFRCON.2009.5308552 (2009) pp.1-6,
  • Yuansheng X., Suxiang Q. and Jianming X., "Research on Constant Voltage with Incremental Conductance MPPT Method", Asia-Pacific Power and Energy Engineering Conference (APPEEC), 27-29 March (2012), pp.1-4.doi: 10.1109/APPEEC.2012.6307155
  • L Fangrui, D Shanxu, L Fei, et, al. "A variable step size INC MPPT method for PV systems". IEEE Transactions on Industrial Electronics. America, vol. 55, pp.2622-2628, July 2008.
  • Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M., 2005. Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron. 20, 963–973.
  • A. Yafaoui., B. Wu and R. Cheung, “Implementation of maximum power point tracking algorithm for residential photovoltaic systems”, 2nd Canadian Solar Buildings Conference Calgary, June 10 – 14, 2007.
  • B. Amrouche, M. Belhamel and A. Guessoum, “Artificial intelligence based P&O MPPT method for photovoltaic Renouvelables ICRESD-07 Tlemcen (2007) 11 – 16. Revue des Energies
  • E Trishan, L Patrick. "Comparison of photovoltaic array maximum power point tracking techniques". IEEE Transactions on Energy Conversion. America, vol. 22, pp.439-449, June 2007.
  • Masoum, M.A.S., Dehbonei, H. and Fuchs, E.F., Theoretical and experimental analysis of photovoltaic systems with voltage and current based maximum power point tracking, IEEE Transactions on Energy Conversion, vol. 17(4), December 2002, pp. 514-522.
Year 2014, Volume: 4 Issue: 3, 810 - 815, 01.09.2014

Abstract

References

  • Chin C. S., Neelakantan P., Yoong H. P. and Teo K. T. K., “Fuzzy logic based MPPT for photovoltaic modules influenced by solar irradiation and cell temperature, In Proc. UKSim 13th International Conference on Modeling and Simulation, March 30-April 01 (2011), pp.376-381.
  • Otieno C.A, Nyakoe G.N. and Wekesa, C.W., "A neural fuzzy based maximum power point tracker for a photovoltaic system," In Proc. AFRICON, 2009.., 23- 25 doi: 10.1109/AFRCON.2009.5308552 (2009) pp.1-6,
  • Yuansheng X., Suxiang Q. and Jianming X., "Research on Constant Voltage with Incremental Conductance MPPT Method", Asia-Pacific Power and Energy Engineering Conference (APPEEC), 27-29 March (2012), pp.1-4.doi: 10.1109/APPEEC.2012.6307155
  • L Fangrui, D Shanxu, L Fei, et, al. "A variable step size INC MPPT method for PV systems". IEEE Transactions on Industrial Electronics. America, vol. 55, pp.2622-2628, July 2008.
  • Femia, N., Petrone, G., Spagnuolo, G., Vitelli, M., 2005. Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron. 20, 963–973.
  • A. Yafaoui., B. Wu and R. Cheung, “Implementation of maximum power point tracking algorithm for residential photovoltaic systems”, 2nd Canadian Solar Buildings Conference Calgary, June 10 – 14, 2007.
  • B. Amrouche, M. Belhamel and A. Guessoum, “Artificial intelligence based P&O MPPT method for photovoltaic Renouvelables ICRESD-07 Tlemcen (2007) 11 – 16. Revue des Energies
  • E Trishan, L Patrick. "Comparison of photovoltaic array maximum power point tracking techniques". IEEE Transactions on Energy Conversion. America, vol. 22, pp.439-449, June 2007.
  • Masoum, M.A.S., Dehbonei, H. and Fuchs, E.F., Theoretical and experimental analysis of photovoltaic systems with voltage and current based maximum power point tracking, IEEE Transactions on Energy Conversion, vol. 17(4), December 2002, pp. 514-522.
There are 9 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Dinesh Kumar Sharma This is me

Ghanshyam Purohit This is me

Publication Date September 1, 2014
Published in Issue Year 2014 Volume: 4 Issue: 3

Cite

APA Sharma, D. K., & Purohit, G. (2014). Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System. International Journal Of Renewable Energy Research, 4(3), 810-815.
AMA Sharma DK, Purohit G. Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System. International Journal Of Renewable Energy Research. September 2014;4(3):810-815.
Chicago Sharma, Dinesh Kumar, and Ghanshyam Purohit. “Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System”. International Journal Of Renewable Energy Research 4, no. 3 (September 2014): 810-15.
EndNote Sharma DK, Purohit G (September 1, 2014) Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System. International Journal Of Renewable Energy Research 4 3 810–815.
IEEE D. K. Sharma and G. Purohit, “Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System”, International Journal Of Renewable Energy Research, vol. 4, no. 3, pp. 810–815, 2014.
ISNAD Sharma, Dinesh Kumar - Purohit, Ghanshyam. “Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System”. International Journal Of Renewable Energy Research 4/3 (September 2014), 810-815.
JAMA Sharma DK, Purohit G. Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System. International Journal Of Renewable Energy Research. 2014;4:810–815.
MLA Sharma, Dinesh Kumar and Ghanshyam Purohit. “Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System”. International Journal Of Renewable Energy Research, vol. 4, no. 3, 2014, pp. 810-5.
Vancouver Sharma DK, Purohit G. Maximum Power Angle (MPA) Based Maximum Power Point Tracking (MPPT) Technique for Efficiency Optimization of Solar PV System. International Journal Of Renewable Energy Research. 2014;4(3):810-5.