IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 8 - Issue 11, November 2019 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



MPP Technique Using PSO With Inertia Under Dynamic Environmental Conditions

[Full Text]

 

AUTHOR(S)

Shamshad Ali, Uzair Malik, Majid Jamil, M A Khan

 

KEYWORDS

Solar PV, MPPT, Global Maximum Power Point, Local Maximum Power Point, Particle Swarm Optimization (PSO).

 

ABSTRACT

The output power in PV module depends upon the solar irradiance and atmospheric conditions. Maximum power does not fluctuate under uniform environmental conditions. However, during the varying atmospheric conditions all the modules are not able to produce stable voltage. So, the PV characteristics become highly non-linear. To solve this non-linear problem the concept of PSO with inertia and without inertia is being used, which will be capable for tracing the global maximum power point. Since PV characteristics under varying atmosphere conditions consist of many peaks called as local maxima and global maxima. This paper presents the MPP technique using PSO with inertia under dynamic environmental conditions. So, with inertia optimizes the conditions under partial conditions and identify global maximum power point. This technique requires very less time to converge maximum power to the global maximum power point than the meta-heuristic techniques and as well as the conventional PSO.

 

REFERENCES

[1] N. Kumar, I. Hussain, B. Singh and B. K. Panigrahi, "Rapid MPPT for Uniformly and Partial Shaded PV System by Using JayaDE Algorithm in Highly Fluctuating Atmospheric Conditions," in IEEE Transactions on Industrial Informatics, vol. 13, no. 5, pp. 2406-2416, Oct. 2017.

[2] N. Kumar, I. Hussain, B. Singh and B. K. Panigrahi, "Maximum power peak detection of partially shaded PV panel by using intelligent monkey king evolution algorithm," 2016 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Trivandrum, 2016, pp. 1-6.
[3] K. Sundareswaran, V. Vigneshkumar, P. Sankar, S. P. Simon, P. SrinivasaRaoNayak and S. Palani, "Development of an Improved P&O Algorithm Assisted Through a Colony of Foraging Ants for MPPT in PV System," in IEEE Transactions on Industrial Informatics, vol. 12, no. 1, pp. 187-200, Feb. 2016
[4] N. Kumar, I. Hussain, B. Singh and B. K. Panigrahi, "Single Sensor-Based MPPT of Partially Shaded PV System for Battery Charging by Using Cauchy and Gaussian Sine Cosine Optimization," in IEEE Transactions on Energy Conversion, vol. 32, no. 3, pp. 983-992, Sept. 2017
[5] H. Hassan, M. A. Geliel and M. Abu-Zeid, "A proposed fuzzy controller for MPPT of a photovoltaic system," 2014 IEEE Conference on Energy Conversion (CENCON), Johor Bahru, 2014, pp. 164-169.
[6] Y. H. Liu, S. C. Huang, J. W. Huang and W. C. Liang, "A Particle Swarm Optimization-Based Maximum Power Point Tracking Algorithm for PV Systems Operating Under Partially Shaded Conditions," in IEEE Transactions on Energy Conversion, vol. 27, no. 4, pp. 1027-1035, Dec. 2012
[7] A. H. Besheer and M. Adly, "Ant colony system-based PI maximum power point tracking for standalone photovoltaic system," 2012 IEEE International Conference on Industrial Technology, Athens, 2012, pp. 693-698
[8] J. H. Lee, H. Bae and B. H. Cho, "Advanced Incremental Conductance MPPT Algorithm with a Variable Step Size," 2006 12th International Power Electronics and Motion Control Conference, Portoroz, 2006, pp. 603-607
[9] S. Kumar, A. K. Verma, I. Hussain and B. Singh, "Performance of grid interfaced solar PV system under variable solar intensity," 2014 IEEE 6th India International Conference on Power Electronics (IICPE), Kurukshetra, 2014, pp. 1-6
[10] H.S.Rauschenbach solar cell array design hand book.
[11] K. Sundareswaran, P. Sankar, P. S. R. Nayak, S. P. Simon and S. Palani, "Enhanced Energy Output from a PV System Under Partial Shaded Conditions Through Artificial Bee Colony," in IEEE Transactions on Sustainable Energy, vol. 6, no. 1, pp. 198-209, Jan. 2015
[12] Www. Mnre.gov.in, ministry of non-conventional renewable energy govt. of India.
[13] I. Moussa, A. Bouallegue and A. Khedher, "New MPPT algorithm modeling for photovoltaic emulator designed in FPGA," 2017 International Conference on Green Energy Conversion Systems (GECS), Hammamet, Tunisia, 2017, pp. 1-7.
[14] A. K. Singh, I. Hussain and B. Singh, "An improved P&O MPPT algorithm for single stage three-phase grid integrated solar PV system," 2016 IEEE 7th Power India International Conference (PIICON), Bikaner, Rajasthan, India, 2016, pp. 1-6.
[15] M. Miyatake, M. Veerachary, F. Toriumi, N. Fujii and H. Ko, "Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach," in IEEE Transactions on Aerospace and Electronic Systems, vol. 47, no. 1, pp. 367-380, January 2011
[16] A. M. Farayola, A. N. Hasan and A. Ali, "Comparison of modified Incremental Conductance and Fuzzy Logic MPPT algorithm using modified CUK converter," 2017 8th International Renewable Energy Congress (IREC), Amman, 2017, pp. 1-6.
[17] M. J. Hossain, B. Tiwari and I. Bhattacharya, "An adaptive step size incremental conductance method for faster maximum power point tracking," 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), Washington, DC, 2017, pp. 1-4.
[18] S. Samal, P. K. Barik and S. K. Sahu, "Extraction of maximum power from a solar PV system using fuzzy controller based MPPT technique," 2018 Technologies for Smart-City Energy Security and Power (ICSESP), Bhubaneswar, 2018, pp. 1-6.
[19] A. S. Deshpande and S. L. Patil, "Performance verification of ripple correlation control for solar PV application," 2016 7th India International Conference on Power Electronics (IICPE), Patiala, 2016, pp. 1-5.
[20] L. Zaghba, N. Terki, A. Borni and A. Bouchakour, "Intelligent control MPPT technique for PV module at varying atmospheric conditions using MATLAB/SIMULINK," 2014 International Renewable and Sustainable Energy Conference (IRSEC), Ouarzazate, 2014, pp. 661-666.