Analysis of Genetic and Cuckoo Search Algorithms for MPPT in Partial Shaded

Yousra izgheche, Tahar Bahi, Amira Lakhdara

Abstract


The exploitation of solar energy through photovoltaic technology has become crucial for electricity production. To maximize this production, optimizing solar radiation is essential. However, various challenges for example fixed structures, structures, and winds carrying sand particles can diminish light intensity, thereby reducing efficiency. These conditions may result in multiple maximum power points appear on the static characteristic of maximum power as a function of photovoltaic voltage. curve. Consequently, more efficient metaheuristic algorithms for maximum power point tracking are needed to ensure optimal operation, particularly during inclement weather and instances of partial shading, such as non-uniform irradiation.  This work provides a comparative analysis of metaheuristic approaches specifically Cuckoo Search and Genetic Algorithm, used for tracking the maximum power point in photovoltaic systems under partial shading conditions.


Keywords


Photovoltaic, Shading; Optimization metaheuristic; Cuckoo Search; Genetic algorithm.

Full Text:

PDF

References


li Omar Baba, Guangyu Liu, Xiaohui Chen, Classification and Evaluation Review of Maximum Power Point Tracking Methods, Sustainable Futures, Volume 2, 2020, ISSN 2666-1888.

S. Pant and R. P. Saini, Comparative Study of MPPT Techniques for Solar Photovoltaic System, (2019), http://www.ieee.org/.

S. Daraban ; D. Petreus; C. Morel, A novel MPPT algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading. Energy 2014, 74, 374–388.

Ib. AL-Wesabi , Z. Fang , Kh. Ameur, D. Min M.B. Shafik and G. Al-Muthanna, Comparative Study of solar PV System Performance under Partial Shaded Condition utilizing different control Approaches, Indian Journal of Science and tTchnology, pp 1864-1893 , 2021.

J. J. K. K. Dokala, M. R. Mohamed, S. Kumarasamy and P. Kurukuri, A new meta-heuristic optimization algorithm based MPPT control technique for PV System under diverse partial shading conditions, Published in Research Square in university Malaysia, 2022.

P.S.V.Sai, S.A. Khadtare and D. Chattergee, An Improved MPPT Technique under Partial Shading Condition Using Simple P&O Algorithm, IEEE CISPSSE’20, July 29-31, 2020, Odisha, India.

H. Rezk, A. Fathy and A. Y. Abdelaziz. Sin, and P. K. T. Mok, A comparison of different global MPPT techniques based on meta-heuristic algorithms for photovoltaic system subjected to partial shading conditions; University Egypt , Renewable and Sustainable Energy Reviews, pp 1364- 0321., Elsevier Feb. 2017 .

M. Kermadi and J. Ahmed, An Effective Hybrid Maximum Power Point Tracker of Photovoltaic Arrays for Complex Partial Shading Conditions , IEEE transactions on industrial electronics, vol. 66, no. 9, September 2019.

A.Fathy, A. Ben Attallah, D. Yousri and H. Rezk, A new implementation of the MPPT based raspberry Pi embedded board for partially shaded photovoltaic system, In Journal Energy Reports, Vol-8, pp 5603 – 5619, 2022 .

J. Kivimaki, S. Kolesnik; M. Sitbon; T. Suntio, A. Kuperman, Design Guidelines for Multiloop Perturbative Maximum Power Point Tracking Algorithms. IEEE Trans. Power Electron.Vol.33, pp. 1284–1293, 2018.

Mehdi Seyedmahmoudian et all, Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm, Sustainability,10(5), 2018. https://doi.org/10.3390/su10051347

CH. Hussain Bashar, R.CH. Naidu and S. Odofin, Development of Cuckoo Search MPPT Algorithm for Partially Shaded Solar PV, Jan 24, 2022.

M. Mosaad ,M.MoussaouiAbdRaouf , M.AlAhmar and Fahd A . Banakher , Maximum power point tracking of PV system based Cuckoo Search Algorithm , in Procedia . 2000, paper 117-126, Elsevier (2019).

J. Ahmed , Z. Salam , A Maximum Power Point Tracking for PV system using Cuckoo, In Journal Applied Energies , University Malaysia , pp 118-130 , Elsevier, 2013 .

Dr.CH. Hussain Basha, R.CH. Naidu, S. Odofin, Development of Cuckoo Search MPPT Algorithm for Partially Shaded Solar PV, Jan 24 , 2022.

F.K. Abo-E lyousr ,A.M. Abelshafy , A.Y.Abdelaziz , MPPT Based Particle Swarm and Cuckoo Search Algorithms for PV Systems, Springer Nature Switzerland,2020 https://doi.org/10.1007/978-3-030-05578-3_14 .

R. Chinthamalla1 , R. Karampuri , S. K. Saha , An Improved MPPT for Partially Shaded PV System by Coalescing INC with PSO Algorithms, IEEE in india .2021 .

W. Hayder, A. Abid and M. Ben Hamed , Comparison of MPPT methods FLC & PSO for PV system under variable irradiance and temperature, IEEE of International Multi-Conference on Systems . 2021.

M. Shehaba , A. Tajudin Khader and M. Azmi Al-Betar , A survey on applications and variants of the cuckoo search algorithm, Journal of Applied Soft Computing , Elsevier , Available online 11 March 2017 .

Harmini , Surabaya , M . Ashari , Optimalization of ANFIS-PSO Algorithm Based on MPPT Control for PV System Under Rapidly Changing Weather Condition , IEEE of conference in Power Engineering Application, 7-8 March 2022 .

Libin Xu , Zhen Xia , Ruofa Cheng , Ziliang Shen , Improved Particle Swarm Optimization (PSO)-based MPPT Method for PV String under Partially Shading and Uniform Irradiance Condition, IEEE . 2020. Asia Energy and Electrical Engineering Symposium.

W. Hayder, A. Abid , M. Ben Hamed , Comparison of MPPT methods FLC & PSO for PV system under variable irradiance and temperature, IEEE of International Multi-Conference on Systems, 2021.




DOI (PDF): https://doi.org/10.20508/ijsmartgrid.v8i1.329.g330

Refbacks

  • There are currently no refbacks.


www.ijsmartgrid.com; www.ijsmartgrid.org

iilhcol@gmail.com; ijsmartgrid@nisantasi.edu.tr

Online ISSN: 2602-439X

Publisher: ilhami COLAK (istanbul Nisantasi Univ)

Cited in Google Scholar and CrossRef