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Article

A Novel Hybrid MPPT Technique to Maximize Power Harvesting from PV System under Partial and Complex Partial Shading

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Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore 54000, Pakistan
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Department of Electrical Engineering, Government College University, Lahore 54000, Pakistan
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Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea
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Authors to whom correspondence should be addressed.
Academic Editor: Tomonobu Senjyu
Appl. Sci. 2022, 12(2), 587; https://doi.org/10.3390/app12020587
Received: 7 November 2021 / Revised: 14 December 2021 / Accepted: 24 December 2021 / Published: 7 January 2022
Photovoltaic (PV) system has been extensively used over the last few years because it is a noise-free, clean, and environmentally friendly source of energy. Maximum Power Point (MPP) from the PV energy systems is a challenging task under modules mismatching and partial shading. Up till now, various MPP tracking algorithms have been used for solar PV energy systems. Classical algorithms are simple, fast, and useful in quick tracing the MPP, but restricted to uniform weather conditions. Moreover, these algorithms do not search the Global Maxima (GM) and get stuck on Local Maxima (LM). However, bio-inspired algorithms help find the GM but their main drawback is that they take more time to track the GM. This paper addresses the issue by using the combination of conventional Incremental Conductance (InC) with variable step size and bio-inspired Dragonfly Optimization (DFO) algorithms leading to a hybrid (InC-DFO) technique under multiple weather conditions, for instance, Uniform Irradiance (UI), Partial Shading (PS), and Complex Partial Shading (CPS). To check the robustness of the proposed algorithm, a comparative analysis is done with six already implemented techniques. The results indicate that the proposed technique is simple, efficient with a quicker power tracking capability. Furthermore, it reduces undesired oscillation around the MPP especially, under PS and CPS conditions. The proposed algorithm has the highest efficiencies of 99.93%, 99.88%, 99.92%, and 99.98% for UI, PS1, PS2, and CPS accordingly among all techniques. It has also reduced the settling time of 0.75 s even in the case of the CPS condition. The performance of the suggested method is also verified using real-time data from the Beijing database. View Full-Text
Keywords: ant colony optimization; complex partial shading; cuckoo search; dragonfly optimization; fruit fly optimization; incremental conductance; maximum power point ant colony optimization; complex partial shading; cuckoo search; dragonfly optimization; fruit fly optimization; incremental conductance; maximum power point
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MDPI and ACS Style

Sarwar, S.; Javed, M.Y.; Jaffery, M.H.; Arshad, J.; Ur Rehman, A.; Shafiq, M.; Choi, J.-G. A Novel Hybrid MPPT Technique to Maximize Power Harvesting from PV System under Partial and Complex Partial Shading. Appl. Sci. 2022, 12, 587. https://doi.org/10.3390/app12020587

AMA Style

Sarwar S, Javed MY, Jaffery MH, Arshad J, Ur Rehman A, Shafiq M, Choi J-G. A Novel Hybrid MPPT Technique to Maximize Power Harvesting from PV System under Partial and Complex Partial Shading. Applied Sciences. 2022; 12(2):587. https://doi.org/10.3390/app12020587

Chicago/Turabian Style

Sarwar, Sajid, Muhammad Yaqoob Javed, Mujtaba Hussain Jaffery, Jehangir Arshad, Ateeq Ur Rehman, Muhammad Shafiq, and Jin-Ghoo Choi. 2022. "A Novel Hybrid MPPT Technique to Maximize Power Harvesting from PV System under Partial and Complex Partial Shading" Applied Sciences 12, no. 2: 587. https://doi.org/10.3390/app12020587

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