Asymmetrical fuzzy logic control-based MPPT algorithm for stand-alone photovoltaic systems under partially shaded conditions

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

VERMA P.; GARG R.; MAHAJAN P.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Scientia Iranica Year:2020 | Volume:27 | Issue:6 (Transactions D: Computer Science and Engineering and Electrical Engineering) Page(s): 3162-3174

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

Asymmetrical fuzzy logic control-based MPPT algorithm for stand-alone photovoltaic systems under partially shaded conditions

Author(s)

VERMA P. | GARG R. | MAHAJAN P. | Issue Writer Certificate

Keywords

Solar photovoltaic system

Maximum power point tracking

Perturb and observation algorithm

Fuzzy and asymmetrical fuzzy algorithm

Shading loss

DC-DC boost converter

Abstract

Partial Shading Conditions (PSCs) in Photovoltaic (PV) system represent an inevasible situation that curtails the PV array output by exhibiting multiple peaks in its Power-Voltage (P-V) curve. The multiple peaks consist of a single Global Maximum Power Point (GMPP) and many Local Maximum Power Points (LMPPs). The presence of multiple peaks makes tracking of maximum power point quite difficult and demands an efficient controller to track the global peak of the P-V curve. In the present work, a novel intelligent Asymmetrical Fuzzy Logic Control (AFLC) based Maximum power point tracking (MPPT) algorithm was proposed for tracking GMPP. The fuzzy membership functions of the proposed algorithm were optimized using a heuristic approach. The algorithm was designed, developed, and analyzed using MATLAB/simulink. Furthermore, to establish the superiority of the proposed AFLC algorithm, it was compared with conventional Perturb and Observe (P&O) algorithm and intelligent Fuzzy Logic Control (FLC) based algorithm for GMPP tracking and Shading losses under Standard Test Condition (STC) and partially shaded conditions.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

VERMA, P., GARG, R., & MAHAJAN, P.. (2020). Asymmetrical fuzzy logic control-based MPPT algorithm for stand-alone photovoltaic systems under partially shaded conditions. SCIENTIA IRANICA, 27(6 (Transactions D: Computer Science and Engineering and Electrical Engineering)), 3162-3174. SID. https://sid.ir/paper/978246/en

Vancouver: Copy

VERMA P., GARG R., MAHAJAN P.. Asymmetrical fuzzy logic control-based MPPT algorithm for stand-alone photovoltaic systems under partially shaded conditions. SCIENTIA IRANICA[Internet]. 2020;27(6 (Transactions D: Computer Science and Engineering and Electrical Engineering)):3162-3174. Available from: https://sid.ir/paper/978246/en

IEEE: Copy

P. VERMA, R. GARG, and P. MAHAJAN, “Asymmetrical fuzzy logic control-based MPPT algorithm for stand-alone photovoltaic systems under partially shaded conditions,” SCIENTIA IRANICA, vol. 27, no. 6 (Transactions D: Computer Science and Engineering and Electrical Engineering), pp. 3162–3174, 2020, [Online]. Available: https://sid.ir/paper/978246/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops