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Volume 10
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Article

Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System

by
Preeti Verma
1,
Afroz Alam
1,*,
Adil Sarwar
1,*,
Mohd Tariq
1,*,
Hani Vahedi
2,3,
Deeksha Gupta
1,
Shafiq Ahmad
4 and
Adamali Shah Noor Mohamed
5
1
Department of Electrical Engineering ZHCET, Aligarh Muslim University, Aligarh 202002, India
2
Ecole de Technologie Superieure (ETS), University of Quebec, Montreal, QC H3C 1K3, Canada
3
Power Electronics Department, dcbel Inc., Montreal, QC H3C 2G9, Canada
4
Industrial Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
5
Electrical Engineering Department, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Electronics 2021, 10(19), 2419; https://doi.org/10.3390/electronics10192419
Submission received: 30 August 2021 / Revised: 19 September 2021 / Accepted: 22 September 2021 / Published: 3 October 2021
(This article belongs to the Special Issue Power Electronics in Automotive Industry Applications)
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Abstract

A critical advancement in solar photovoltaic (PV) establishment has led to robust acceleration towards the evolution of new MPPT techniques. The sun-oriented PV framework has a non-linear characteristic in varying climatic conditions, which considerably impact the PV framework yield. Furthermore, the partial shading condition (PSC) causes major problems, such as a drop in the output power yield and multiple peaks in the P–V attribute. Hence, following the global maximum power point (GMPP) under PSC is a demanding problem. Subsequently, different maximum power point tracking (MPPT) strategies have been utilized to improve the yield of a PV framework. However, the disarray lies in choosing the best MPPT technique from the wide algorithms for a particular purpose. Each algorithm has its benefits and drawbacks. Hence, there is a fundamental need for an appropriate audit of the MPPT strategies from time to time. This article presents new works done in the global power point tracking (GMPPT) algorithm field under the PSCs. It sums up different MPPT strategies alongside their working principle, mathematical representation, and flow charts. Moreover, tables depicted in this study briefly organize the significant attributes of algorithms. This work will serve as a reference for sorting an MPPT technique while designing PV systems.
Keywords: photovoltaic (PV) system; partial shading condition (PSC); maximum power point tracking (MPPT) photovoltaic (PV) system; partial shading condition (PSC); maximum power point tracking (MPPT)

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MDPI and ACS Style

Verma, P.; Alam, A.; Sarwar, A.; Tariq, M.; Vahedi, H.; Gupta, D.; Ahmad, S.; Shah Noor Mohamed, A. Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System. Electronics 2021, 10, 2419. https://doi.org/10.3390/electronics10192419

AMA Style

Verma P, Alam A, Sarwar A, Tariq M, Vahedi H, Gupta D, Ahmad S, Shah Noor Mohamed A. Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System. Electronics. 2021; 10(19):2419. https://doi.org/10.3390/electronics10192419

Chicago/Turabian Style

Verma, Preeti, Afroz Alam, Adil Sarwar, Mohd Tariq, Hani Vahedi, Deeksha Gupta, Shafiq Ahmad, and Adamali Shah Noor Mohamed. 2021. "Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System" Electronics 10, no. 19: 2419. https://doi.org/10.3390/electronics10192419

APA Style

Verma, P., Alam, A., Sarwar, A., Tariq, M., Vahedi, H., Gupta, D., Ahmad, S., & Shah Noor Mohamed, A. (2021). Meta-Heuristic Optimization Techniques Used for Maximum Power Point Tracking in Solar PV System. Electronics, 10(19), 2419. https://doi.org/10.3390/electronics10192419

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