Ordering Technique for the Maximum Power Point Tracking of an Islanded Solar Photovoltaic System

Muhammad Mateen Afzal Awan, Aamer Bilal Asghar (), Muhammad Yaqoob Javed and Zsolt Conka ()
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Muhammad Mateen Afzal Awan: Department of Electrical Engineering, University of Management and Technology Lahore, Sialkot 51310, Punjab, Pakistan
Aamer Bilal Asghar: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Punjab, Pakistan
Muhammad Yaqoob Javed: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Punjab, Pakistan
Zsolt Conka: Faculty of Electrical Engineering and Informatics, Department of Electric Power Engineering, Technical University of Kosice, 040 01 Kosice, Slovakia

Sustainability, 2023, vol. 15, issue 4, 1-19

Abstract: The world’s attention has turned towards renewable energy due to escalating energy demands, declining fossil fuel reservoirs, greenhouse gas emissions, and the unreliability of conventional energy systems. The sun is the only renewable energy source that is available every day for a specific period of time. Solar photovoltaic (PV) technology is known for its direct conversion of sunlight into electricity using the photoelectric effect. However, due to the non-linear electrical characteristics, the power output of solar PV cells is bound to a lower value and can not produce the power of which it is capable. To extract the maximum possible power, the PV cell needs to be operated at its maximum power point (MPP) uninterruptedly under numerous weather conditions. Therefore, an electronic circuit driven by a set of rules known as an algorithm is utilized. To date, the flower pollination algorithm (FPA) is one of the most renowned maximum power point tracking (MPPT) algorithms due to its effective tracking ability at the local and global positions. After an in-depth analysis of the design, strengths, weaknesses, and opportunities of the FPA algorithm, we have proposed an additional filtration and distribution process named “Random walk” along with the ordering of solutions, to improve its efficiency and tracking time. The proposed structure named “Ordered FPA” has outperformed the renowned FPA algorithm under various weather conditions at all the standard benchmarks. Simulations are performed in MATLAB/Simulink.

Keywords: maximum power point tracking; algorithms for MPPT; partial shading condition; solar photovoltaic; flower pollination algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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